1. No category

2015
MLB
BIBLE
Featuring
the SDQL
Presented by
SportsBook Breakers
Over 200 Perfect Team and
Starter Trends
Key MLB System
SDQL Systems and Notes
and Much, Much More
The 2015 KillerSports.com
MLB BIBLE
Introduction............................................................................................................................................ 4
SDQL Overview....................................................................................................................................... 5
Sportsbook Breakers’ MLB System Study: Strikeouts — A Starter’s Best Friend................................6-7
Pick Sixty Sports Notes: Run the Bases................................................................................................7-8
SBB’s Play On Team Trend...................................................................................................................... 9
SBB’s Play Against Team Trend............................................................................................................. 10
SBB’s Top Starter Trend........................................................................................................................ 11
SBB’s OU Team Trend........................................................................................................................... 12
Killersports.com MLB Trends Set Introduction..................................................................................... 13
Complete Team-By-Team Trends.....................................................................................................14-32
Killersports.com Bonus SU Trends........................................................................................................ 19
Killersports.com Bonus Starter Trends................................................................................................. 25
Killersports.com Bonus OU Trends....................................................................................................... 31
Sample MLB Newsletter....................................................................................................................... 32
Daily MLB Newsletter Available
FREE!!!
Sign up at www.killersports.com
SportsBook Breakers and Killersports.com are teaming up again to produce the 2015 MLB Daily Information
Sheet. This two-page sheet is your first place to start each morning for your baseball gambling information.
The sheet will include a straight up, over/under, and starter trends of the day (with the valuable SDQL text
included), a daily schedule chart, and other valuable handicapping information for that day’s games. For an
example of the daily newsletter, see pg. 32.
You can get all this for the low, low price of FREE! That is not a misprint as SportsBook Breakers and
Killersports.com have collaborated to provide this invaluable information for you free of charge. Why pay
hundreds of dollars a year on other sites for newsletters that don’t provide the hard hitting and relevant
information that Killersports.com can get you every single day?
When you sign up at Killersports.com (or go to Edit Profile and Subscriptions for those already members)
all you have to do is click the “E-mail me the free KillerSports.com Newsletters” to get this newsletter delivered
free to your inbox every morning.
2 • KillerSports.com
SportsBook Breakers is coming off finishing as the #1 handicapper on Vegas Insider during the 2014 NFL season and
is poised to translate that success to the MLB season. SBB has added to its database for 2015 including several new
long-term winning systems
We are excited to announce that SportsBook Breakers will continue the best handicapping deal in the business
this season. You can get a seven-day package of all SportsBook Breakers MLB picks for just $50 in web debit value.
That’s just $7 a day!!! You can also purchase SBB’s winning plays daily in packages or guaranteed to win.
All picks and packages are available at
www.killercappers.com.
TRENDS MART
KillerSports.com is excited to announce the opening of the first peer-to-peer trend market. Here you can buy
profitable trends and systems from SDQL masters and pros, several of whom use these SDQL-based trends and
systems as a key component to successful betting and handicapping.
Visit the Trends Mart at www.killersports.com/trend_mart to get started
To learn how to purchase and access trends and systems from the Trends Mart, watch this instructional video
sdqlconsultancy.com/2015/02/08/how-to-purchase-active-trend-sets-at-the-sdql-trend-mart/
2015 MLB Bible • 3
INTRODUCTION
The 2015 MLB Handicapping Bible contains information
that any bettor can use to become a confident, informed
and successful gambler while tackling the 2015 season.
There are trend sets, isolated trends and perhaps most
importantly, articles on interesting betting subjects. This
information alone might not make you a great bettor,
but the content of this book is a great starting point for
a successful 2015 season.
The main trend set produced by SportsBook Breakers
includes six trends in past performance for each team or
its starting pitcher. There are four play-on or play-against
W-L trends for each team (TEAM001-004), one over/
under trend for each team (TEAM005) and one starterbased trend for each club (STR001-032).
ALL of the trends come with the Sports Data Query
Language (SDQL) that generates the trend. With the SDQL
text, you can verify the accuracy of the trend ,but more
importantly you can see how the trend is performing
anytime during the season. To check any trend, type (or
paste) the SDQL text into the query text box at:
http://killersports.com/mlb.py/query
and then simply click on the query button. The results
should appear in a second or two.
If you have any questions about the SDQL, post them
at the Google Group for the SDQL at:
http://groups.google.com/group/SportsDataBase
The group has many expert members, including the
genius behind the Sports Data Query Language, Joe
Meyer. Feel free to post any questions/comments about
this publication there as well.
For the self-starters, check out the one-page basics on
how to use the SDQL on pg. 5. If you are looking for more
information, check out this baseball specific manual on
the SDQL:
http://killersports.com/Download/MLB/query_
manual.pdf
If you are looking for a more concise guide to the subtle
complexities of SDQL covering all sports, visit the guide at:
http://www.sdql.com/intro.html
We have no doubt that you will quickly become
hooked on the SDQL at Killersports.com and the quality
4 • KillerSports.com
information that SportsBook Breakers and all the quality
handicappers at Killercappers.com can provide with it.
There are also a couple of great ways to track the
trends found in this book. The first is to save these trends
(or ones you discover on your own) at Killersports.com.
To do this you need to be logged in as a member. After
performing a query (from the NBA or the MLB or the NFL
query page), you will see a save to personal trends hyper
link above the query text input box.
Clicking on this save to personal trends link will bring
you to a page where you can type in a description of the
trend. Along with a description, many like to type in the
record of the trend here in order to track the performance
throughout the season.
After entering a description clicking on the SAVE button
saves your trend. When one of your trends is active,
you will see a hyperlink to the game listing and your
descriptive text on the My Trends page.
Currently, you are allowed two free trends, after which
each trend costs two dollars per season.
For the trends found in this book, an even easier option
exists... LET US TELL YOU! Each day, SportsBook Breakers
will publish the KillerSports.com 2015 MLB Newsletter.
This two-page sheet will be your first stop each morning
for up-to-the-minute baseball handicapping information.
When you sign up at Killersports.com (or go to Edit
Profile and Subscriptions for those already members) all
you have to do is select “E-mail me the free KillerSports.
com Newsletters” to get this newsletter delivered every
morning.
New in 2015, you can also purchase trends and
systems directly from SDQL experts at the Killersports.
com Trends Mart. SDQL Masters and Pros will have active
trends and systems available for purchase in daily and
weekly packages to give you an inside edge on the MLB
information you need to know.
http://www.killersports.com/trend_mart
We would like to thank MTi Sports, SportsBook
Breakers and Pick Sixty Sports for their contributions to
this book and hope you enjoy the content and find it a
useful start to the baseball season. Join us all season long
and let’s make this a successful 2015 campaign.
SDQL INTRODUCTION
SDQL stands for Sports Data Query Language. It is a language that allows the investigation of past sports results
over the internet using your home computer. It is easy.
It is fast and it is free. If you can perform a search on
Google, you can query the past results of professional
sports games.
Like the Google search, there is a text query box in which
you enter what you would like to search. Unlike Google,
the search has to be specific and you must use the Sports
Data Query Language. The advantage of the SDQL is that
you get exactly what you ask for.
For example, if you want to see all the no-hitters in major
league baseball since 2004 simply enter:
hits=0
query
into the query text box and then click on the query button.
It is as simple as that! There are SDQL query text boxes at
many internet sites. The most developed is currently at:
http://killersports.com/mlb.py/query
To see all the MLB games in which a team scored at least
10 runs without hitting a home run, use:
HR=0 and runs>=10
query
That’s it!
The SDQL allows access to billions of situations that are
of interest to sports historians, the sports media, fantasy
league participants and serious sports bettors.
An ability to quickly and efficiently interrogate historical data in Major League Baseball (as well as the NBA
and NFL) will provide the SDQL user a terrific advantage
over those that just pore over box scores and read other
people’s interpretations of the results.
Perhaps the best way to grasp the SDQL is to simply try
the hundreds of examples in this book. That said, there
are only a couple of key ideas that will get you well on
your way to becoming an SDQL master.
The first is that a query consists on a number of conditions separated by the word “and.” The second is grasping
the difference between the team and the opponent. In
sports, there are two combatants. To distinguish between
them, SDQL calls one of these the team and the other the
opponent. This allows access to results based on both
the performance of the team and the performance of
their opponent. For example, we can see how a team
performs when they score at least five runs and we can
see how a team performs when their opponent scores
at least five runs.
For example, to see how the Giants perform in games in
which they scored at least five runs, use:
team = Giants and runs >= 5
query
When this query is run, the computer responds with a
records summary and a game listing of all the games
since 2004 in which the Giants scored at least five runs.
Since there is no game reference on the parameter ‘runs’
it refers to the team and the game in question. To see
how the Giants perform in games in which their opponent
scored at least five runs, use:
team = Giants and o:runs >= 5
query
The o: prefix on the “runs” points the runs parameter to
the opponent.
To see how the Giants perform in games AFTER they
scored at least five runs, use:
team = Giants and p:runs >= 5
query
Here, the p: prefix on the “runs” points the runs parameter to the team’s previous game.
Each one of these queries has two SDQL phrases. The
first defines the team and the second gives a condition.
There is no limit to the number of SDQL phrases that can
be strung together with the word “and.”
That’s it. This is the basic structure of the SDQL. This
structure will allow the thorough interrogation and investigation of historical sports data. Understanding this
structure is the key to understanding the SDQL. Once you
have a grasp of this structure, you will be able to perform
your own investigations.
Start by trying the many examples in this book. If you
have any questions about the SDQL, address them to the
sportsdatabase.com discussion group at:
http://groups.google.com/group/SportsDataBase
This group is monitored by numerous SDQL masters
who will be able to answer all your questions.
2015 MLB Bible • 5
SportsBook
Breakers
MLB SYSTEM STUDY
Strikeouts — A Starter’s Best Friend
As analysis of pitching performance has advanced the
past decade, analytics have honed in on what really makes
a pitcher successful. The biggest take away from this has
been where the bulk of a pitcher’s success is determined
is in the at bat results they control the most — strikeouts
and walks. Statistics such as Fielding Independent
Pitching give a good representation of that. However, we
have not seen considerable analysis on the importance
of these critical categories on a game-over-game basis.
It would stand to reason that a high strikeout rate one
game would be a positive indicator of success in the next
start, but is that actually the case or are strikeouts possibly
overvalued in a short-term situation?
Using data spanning back to the beginning of the MLB
database at Killersports.com in 2004, running a simple
SDQL query produces a very interesting — and powerful
— result. Using the SDQL text: s:starter strike outs>=9 or
s:SSO>=9, we see that teams have won 56.1% of games
when their starter struck out at least nine batters in his
last outing, going 1692-1325. It is no surprise that these
starters were favored more often than not in these games,
with an average line of -130.6, but even factoring that in,
playing on starters who struck out nine batters or more
last game has resulted in a profit of +$6,004 for the $100
player or a +1.4% return on investment. Playing against
If you like extremely valuable, long-term betting
systems such as this winner then SportsBook Breakers
has the place for you. SportsBook Breakers is a part of
the Master section of the brand new Killersports.com
Trends Mart.
Listed as SBB on the Trends Mart, SportsBook Breakers
has over 100 55+% long-term MLB systems available
for purchase. These are the same active systems
that SBB uses at the core of its handicapping will be
available in daily and weekly packages.
Visit www.killersports.com/trend_mart for more!
6 • KillerSports.com
these starters has produced a loss of $21,602 or a -6.4%
return on investment.
SDQL Note: The use of SSO in the SDQL text is a
shortcut for starter strike outs, one of many available
SDQL shortcuts to produce a cleaner SDQL text. The prefix
s: is baseball-only and represents a starter’s last outing.
This sample size of just over 3,000 games is extremely
large for a profitable system and creates the possibility
of over 300 play on situations per season.
Using the open-ended SDQL text s:SSO we can create
the chart below to further examine what is behind this
valuable system.
Previous
Starter
Strikeouts
Record
Play
On $
Play
Against $
18
0-1 (-2.00, 0.0%)
-$145
+$135
17
1-2 (-1.67, 33.3%)
-$220
+$190
16
2-2 (0.25, 50.0%)
-$270
+$200
15
8-6 (0.79, 57.1%)
-$260
+$140
14
26-15 (1.24, 63.4%)
+$555
-$745
13
56-37 (0.94, 60.2%)
+$803
-$1,253
12
114-89 (0.86, 56.2%)
+$428
-$1,323
11
229-174 (0.51, 56.8%)
+$1,150
-$3,317
10
455-372 (0.47, 55.0%)
+$339
-$4,562
9
801-627 (0.47, 56.1%)
+$3,624
-$11,067
8
1370-1223 (0.33, 52.8%)
-$6,782
-$6,940
7
2049-1942 (0.19, 51.3%)
-$18,346
-$2,181
6
2920-2810 (0.13, 51.0%)
-$18,997
-$10,340
5
3792-3649 (0.12, 51.0%)
-$11,710
-$26,671
4
4114-4239 (-0.07, 49.3%)
-$33,404
-$9,248
3
3983-3981 (-0.01, 50.0%)
-$1,860
-$38,908
2
3068-3448 (-0.29, 47.1%)
-$36,854
+$3,932
1
1826-2078 (-0.35, 46.8%)
-$18,562
-$1,119
0
702-731 (-0.29, 49.0%)
+$1,970
-$9,028
This chart shows exactly what we like to see with
this type system. Every strikeout total between 9-14
games has produced a positive $ result and at least a
55% winning percentage. While the results from 15-18
strikeouts have been negative, we do not feel they should
necessarily be removed from this system due to a small
sample size of just 22 total games of the 3,027 total games
in the system. However, an argument could be made that
when a starter strikes out at least 15 batters, that it is a
point of demarcation in how much attention the outing
(Continued pg. 7)
receives, pushing up the line in a starter’s last game. This
is something that is worth further monitoring.
Also, this chart gives a great look at the converse —
how starters do after a low strikeout game. We see that
it is a much better idea to play against a starter with just
one or two strikeouts in his last start, but that due to the
number of active instances, this alone is not a particularly
profitable play on, though it could become so by adding
one or two relevant parameters.
Adding parameters to our base system of nine or more
starter strikeouts is also worth looking at. For instance,
this system has been considerably more profitable with a
5.5% ROI when the starter went fewer than seven innings
in his last start.
This is a system that is active nearly every day after
the first five games of the season, with a system-high 374
actives in 2014. We would not suggest you bet all 374 of
these games, but to strongly factor this in as a positive
for a team when evaluating games, just as you would any
of the over 100 must-have SportsBook Breakers systems
available at the Killersports.com Trend Mart. You will also
see this system in several plays of SportsBook Breakers
this coming season.
RUN THE BASES
SDQL profiles to watch for during
the 2015 MLB season!
Baseball doesn’t get nearly the same level of attention
during its off-season as football. Following an exciting
playoff run, the sport just sort of wraps up and goes into
hibernation until February when the pitchers and catchers
start showing up early for spring training. To be fair, odds
are stacked against baseball competing in the off months,
when NFL and college ball are flourishing. But as the
rosters come together and bettors sort through the list
of futures, predictions and win totals, the anticipation of
that first pitch starts to build and we’re all ready to face
another challenging campaign of testing our handicapping
skills against the book.
Anyone who tells you that consistently winning at
baseball is easy, probably also has a nice ocean front
property for sale in South Dakota. That’s the thing about
`capping, though, no one ever said it was going to be
easy. The net is filled with dazzling tips on how to become
a better handicapper and this Annual has hundreds of
inspiring SDQL codes that you can apply towards your
craft. If I can offer any perspective at all, it’s to be patient,
be honest with yourself about tracking wins and losses,
and realize that every day is an opportunity to further
SPORTSBOOK
BREAKERS
guided you to huge profits during football season,
finishing as the #1 handicapper on Vegas Insider, and
is in the midst of a solid NBA season. Join SportsBook
Breakers this MLB season to keep the profits rolling!
We are excited to announce that SportsBook Breakers
will continue the best handicapping deal in the
business this season. You can get a 7-day package of
all SportsBook Breakers pick for just $50 in web debit
value. That’s just $7 a day!!! You can also get SBB’s
season package for even bigger savings.
Available exclusively at www.killercappers.com
Jarvis Simes –
Pick Sixty Sports
your development as a bettor.
Winning begins with a good approach and here are
some techniques to ponder through the weeks and
months ahead. Good luck this season.
EARLY SEASON SYSTEM
This profile has finished in the positive for sevenstraight years but if we focus on the more recent history
(since 2011), we can see a hit rate of 59-percent with our
play ON teams winning by more than a half-run per game.
One benefit of this system is the average line (-103) and if
we break it down by the month, SDQL shows us that May
is producing a 60-percent record, slightly better than the
April games (57-percent). The part I like about that is that
this profile is just a starting point. Regardless of its past
success, we wouldn’t want to book a play without further
research and the more data we have available from the
current season, the better. Game counts per month are
nearly identical and the average line is off by just a cent.
SDQL Text: -120 <= t:line <= 120 and p:margin >= 3 and
SG = SGS and season >= 2011 and month < 6
Translation: In a series finale during the first two
months of the season, play ON all teams off a win by three
or more runs when the line is within 20 cents of ‘Pick em’
(Continued pg. 8)
2015 MLB Bible • 7
Jarvis Simes –
Pick Sixty Sports
RUN THE BASES (CONT)
(131-93 SU for +$3,723 – a 15.6 ROI)
Following this system last year netted a one hundred
dollar bettor a profit of +$799, a 13-percent return on
investment (ROI). Another thing to keep an eye on,
particularly in May, is the Over/Under. Betting the total to
stay under last season was good for +$880 in the month
of May alone.
- With April being a better month in general for hitters
(highest “Over” percentage of all months since 2004), it’s
a good strategy to let the totals fatten themselves up a
bit and then circle the right spot to nail down a winning
play on the “Under”.
- Of note, the under in this profile made good money
consistently from May through August (+$2,025;
17-percent ROI) and July (61-percent) has been a
profitable month for six consecutive years (+$2,005;
14-percent ROI).
DOG PATROL
Learning how to successfully avoid the juice with
moneyline betting is not only financially rewarding, it’s
sort of like a psychological “pat on the back.” It takes a
certain skill and you just have to remember – the line
is not always a pure indicator of who the book thinks is
going to win the game. It’s only a marker of where the
oddsmaker projects the split to come from the betting
market. Finding value on the right MLB teams at plusmoney can start with the right system and these SDQL
codes have produced proven winners.
1. April Dogs off a Close Loss
Over reactions to a loss run rampant in the early season
and dogs off a narrow setback have a .495 win-percentage
the past nine years with an average get back of +132. This
simple profile has produced profit in six of nine years for
a total of +$6,465 (14-percent ROI).
SDQL Text: D and p:margin = -1 and month = 4 and
season >= 2006
2. Leave it to the Pen
This is a little more complex but just start by looking
for road dogs up to +150 on normal rest (0-1 days).
SDQL Text: AD and tS(o:hits-starter hits + o:walks starter walks) / tS(9-starter innings pitched) <= 1.15 and
line <= 150 and month < 9 and rest < 2
When these teams have a reliable pen with a low WHIP,
they’ve produced a profit in 10 of the past 11 seasons for
an average profit of more than $1,000 per year. The past
five years have been ever better (+$1,521 per season)
and the average line is +122. Note the ‘month’ parameter.
Perhaps it’s a combination of cooling weather and the fact
teams have been stretched thin, but playing this angle
beyond August is not worth the risk.
Co-founder of Pick Sixty Sports, Jarvis Simes
covers sports betting year round with a focus
on baseball, football and hockey. Winner of the
2012 EveryEdge MLB Handicapper’s Challenge,
follow @JarvisSimes on Twitter for SDQL
analysis and free picks!
You can also find gambling information from
Jarvis at
picksixtysports.com
check out the new Pick Sixty Sports Facebook
page at
www.facebook.com/PickSixtySports
8 • KillerSports.com
SportsBook
Breakers
PLAY ON TEAM TREND
The Indians are 17-0
(+2,114) since 2006 when
they used 8-9 pitchers last
game and their starter
worked no more than seven
innings.
SU: RL: 17-0 (3.22, 100.0%) 15-2 (3.09, 88.2%) Team Opp Date
Sep 15, 2006 May 03, 2007 Sep 15, 2008 Sep 17, 2008 Sep 10, 2010 Aug 10, 2011 Aug 17, 2011 Apr 15, 2012 Sep 30, 2012 Aug 21, 2013 Sep 03, 2013 Sep 14, 2013 Sep 24, 2013 May 22, 2014 Aug 20, 2014 Aug 31, 2014 Sep 05, 2014 Sep 20, 2014 Runs
6.0 2.8 Site
home home home home home home away away home away home away home away away away home away Hits
10.6 8.1 SDQL Text
team = Indians and season>=2006 and
9>=p:PU >= 8 and p:SIP<=7
Trend Analysis
It would seem logical that using a ton of
pitchers in one game would have negative
effects for a team the next game. Thankfully
using the Killersports.com database, we
can easily see that is not the case. Teams
that used 8-9 pitchers last game have won
53.7% of the time in database history and
are +4.1% playing on. One team has been
consistently outstanding in this spot.
The Indians are 17-0 (+2,114) since 2006
when they used 8-9 pitchers last game and
their starter worked no more than seven
innings.
It is no great surprise that Cleveland is
a team being isolated when it comes to
bullpen appearances. Their manager, Terry
Francona, is not shy about heavily using
relievers and Cleveland has set the major
league record for bullpen appearances in a
season each of the past two years.
Over half of the active instances in this
trend have come the past two years, as
Cleveland has used 8-9 pitchers in a game
10 times over that stretch, tied for the major
league high.
With Cleveland’s heavy bullpen usage, it
makes sense that they would be used to it
and better prepared to handle this situation.
The only other parameter added is “p:SIP<7”
to show games where the starter did not
go 7+ innings, which would likely mean the
game went deep into extra innings to use
that many pitchers.
This is a starter trend you definitely want
to consider saving on www.killersports.com.
If you are interested in saving this or any
trend, check out the introduction to this
Bible for more information.
Query Output File
avg line: -109.1 / -103.7
avg line: -100.5 / -111.3
Errors
0.4 0.7 Walks
3.7 2.9 Team
Starter
Indians Fausto Carmona - R Indians Cliff Lee - L Indians Scott Lewis - L Indians Cliff Lee - L Indians Fausto Carmona - R Indians Ubaldo Jimenez - R Indians Fausto Carmona - R Indians Ubaldo Jimenez - R Indians Zach McAllister - R Indians Justin Masterson - R Indians Ubaldo Jimenez - R Indians Ubaldo Jimenez - R Indians Ubaldo Jimenez - R Indians Justin Masterson - R Indians TJ House - L Indians TJ House - L Indians TJ House - L Indians TJ House - L Strike Outs
7.0 7.9 Grounders
11.4 10.4 Fly Balls
5.9 5.9 Opp
Starter
ScoreSUm
Twins Johan Santana - L 5-4 1 Blue Jays Dustin McGowan - R 6-5 1 Twins Kevin Slowey - R 3-1 2 Twins Scott Baker - R 6-4 2 Twins Carl Pavano - R 2-0 2 Tigers Rick Porcello - R 10-3 7 White Sox Mark Buehrle - L 4-1 3 Royals Luis Mendoza - R 13-7 6 Royals Luke Hochevar - R 15-3 12 Angels Jerome Williams - R 3-1 2 Orioles Chris Tillman - R 4-3 1 White Sox Andre Rienzo - R 8-1 7 White Sox Hector Santiago - L 5-4 1 Orioles Wei Yin Chen - L 8-7 1 Twins Ricky Nolasco - R 5-0 5 Royals Danny Duffy - L 2-2 0 White Sox Chris Sale - L 2-1 1 Twins Trevor May - R 7-3 4 W/L
W
W
W
W
W
W
W
W
W
W
W
W
W
W
W
P
W
W
Team left on base
6.7
7.6\
OUm
0.5 1.0 -5.0 2.0 -6.5 4.5 -3.0 11.5 9.5 -4.0 -1.0 1.0 1.5 6.5 -3.5 -4.0 -4.0 1.5 O/U
O
O
U
O
U
O
U
O
O
U
U
O
O
O
U
U
U
O
Hits
8-7 10-9 10-5 9-14 6-3 18-6 12-4 15-13 19-7 8-7 5-8 11-9 9-9 14-13 11-6 9-7 7-9 10-10 Errors
1-1 1-2 0-0 1-2 0-0 0-1 0-0 0-1 0-1 0-0 1-0 0-0 0-1 2-0 1-0 1-2 0-1 0-0 BL
3-0 1-4 3-0 2-2 2-0 7-0 3-0 8-3 12-0 2-0 4-0 8-0 1-1 3-2 5-0 1-1 1-0 5-0 Line
220 -160 105 -165 140 -140 140 -112 -140 -150 102 -150 -220 122 -118 155 130 -122 Total
8.5 10.0 9.0 8.0 8.5 8.5 8.0 8.5 8.5 8.0 8.0 8.0 7.5 8.5 8.5 8.0 7.0 8.5 Inn.
10+
9
9
9
9
9
9
9
9
9
9
9
9
10+
9
9
10+
9
2015 MLB Bible • 9
SportsBook
Breakers
PLAY AGAINST TEAM TREND
The Diamondbacks are
0-33 (+$3,300) since August
2004 as a +200 or greater
underdog if they scored last
game and have not won six
or more straight games.
SDQL Text
team=Diamondbacks and
date>=20040801 and line>=200 and
streak<6 and p:runs>0
Trend Analysis
We don’t usually like to look at trends
isolating only extremely big favorites or
dogs, but when a trend gets large enough
it can’t be ignored — and this is the largest
trend currently in our database
The Diamondbacks are 0-33 (+$3,300)
since August 2004 as a +200 or greater
underdog if they scored last game and have
SU: RL: 0-33 (-4.03, 0.0%) 3-10 (-2.73, 23.1%) Team Opp Date
Aug 01, 2004 Aug 05, 2004 Aug 07, 2004 Aug 08, 2004 Aug 13, 2004 Aug 14, 2004 Aug 24, 2004 Sep 02, 2004 Sep 03, 2004 Sep 04, 2004 Sep 08, 2004 Sep 09, 2004 Sep 11, 2004 Sep 17, 2004 Sep 18, 2004 Sep 24, 2004 Sep 25, 2004 Sep 26, 2004 Jun 02, 2005 Jul 16, 2005 Jun 14, 2007 Aug 27, 2007 Sep 30, 2007 Jul 17, 2009 May 26, 2010 Jun 16, 2010 Jun 29, 2010 Jul 27, 2010 Jul 28, 2010 Sep 11, 2010 Aug 01, 2013 Aug 18, 2014 Aug 19, 2014 Runs
2.8 6.8 Site
away home home home away away away home away away away away home away away away away away away away away away away away away away away away away away away away away 10 • KillerSports.com
Hits
7.8 10.5 not won six or more straight games.
For a trend so large, the parameters of
the trend are quite simple. Arizona has
been absolutely terrible in games where
they are huge underdogs, going back over
a decade. We use the additional SDQL to
eliminate instances where the D-Backs are
coming off being shutout as well as games
where Arizona is on a 6+ game winning
streak. That is something that is extremely
unlikely to occur considering the game line,
as teams on 6+ game winning streak dogs
have been 200+ dogs just seven times in
database history.
Query Output File
avg line: 229.5 / -275.9
avg line: 106.8 / -118.5
Errors
1.0 0.3 Walks
2.2 4.3 Strike Outs
7.8 5.8 Grounders
9.6 10.3 Fly Balls
7.9 8.6 Team left on base
6.2
7.8
Team
Starter
Opp
Starter
ScoreSUm W/L OUm
Diamondbacks E dgar G Gonzalez - R Rockies Aaron Cook - R 2-10 -8 L
-1.5 Diamondbacks L ance Cormier - R Marlins Carl Pavano - R 5-11 -6 L
7.0 Diamondbacks E dgar G Gonzalez - R Braves Paul Byrd - R 2-6 -4 L
-2.0 Diamondbacks C asey Fossum - L Braves Russ Ortiz - R 4-11 -7 L
6.0 Diamondbacks C asey Fossum - L Mets Kris Benson - R 6-10 -4 L
7.5 Diamondbacks E dgar G Gonzalez - R Mets Al Leiter - L 3-4 -1 L
-1.0 Diamondbacks E dgar G Gonzalez - R Pirates Oliver Perez - L 1-3 -2 L
-4.5 Diamondbacks C asey Fossum - L Dodgers Odalis Perez - L 4-8 -4 L
2.5 Diamondbacks E dgar G Gonzalez - R Giants Brad Hennessey - R 7-18 -11 L
15.5 Diamondbacks S teve Randolph - L Giants Noah Lowry - L 7-9 -2 L
6.0 Diamondbacks C asey Fossum - L Dodgers Odalis Perez - L 5-6 -1 L
3.5 Diamondbacks E dgar G Gonzalez - R D odgers Jose Lima - R 3-5 -2 L
-0.5 Diamondbacks S teve Randolph - L Giants Noah Lowry - L 3-5 -2 L
-2.5 Diamondbacks B randon Webb - R Cardinals Woody Williams - R 3-4 -1 L
-2.0 Diamondbacks C asey Fossum - L Cardinals Chris Carpenter - R 0-7 -7 L
-2.0 Diamondbacks M
ike Gosling - L Padres David Wells - L 5-6 -1 L
2.5 Diamondbacks S teve Randolph - L Padres Adam Eaton - R 5-6 -1 L
2.5 Diamondbacks S teve Sparks - R Padres Jake Peavy - R 1-7 -6 L
-0.5 Diamondbacks S hawn Estes - L Mets Pedro Martinez - R 1-6 -5 L
0.0 Diamondbacks C laudio Vargas - ? Padres Jake Peavy - R 1-4 -3 L
-2.5 Diamondbacks Doug Davis - L Yankees Andy Pettitte - L 1-7 -6 L
-1.5 Diamondbacks L ivan Hernandez - R Padres Jake Peavy - R 1-3 -2 L
-3.0 Diamondbacks Y usmeiro Petit - R Rockies Ubaldo Jimenez - R 3-4 -1 L
-3.0 Diamondbacks J on Garland - R Cardinals Chris Carpenter - R 1-6 -5 L
-1.0 Diamondbacks R odrigo Lopez - R Rockies Ubaldo Jimenez - R 3-7 -4 L
1.5 Diamondbacks R odrigo Lopez - R Red Sox Jon Lester - L 2-6 -4 L
-1.0 Diamondbacks D ontrelle Willis - L Cardinals Adam Wainwright - R 0-8 -8 L
-0.5 Diamondbacks R odrigo Lopez - R Phillies Cole Hamels - L 5-9 -4 L
5.5 Diamondbacks E dwin Jackson - R Phillies Roy Halladay - R 1-7 -6 L
0.0 Diamondbacks R odrigo Lopez - R Rockies Ubaldo Jimenez - R 1-2 -1 L
-6.0 Diamondbacks Z eke Spruill - R Rangers Yu Darvish - R 1-7 -6 L
-0.5 Diamondbacks Vidal Nuno - L Nationals Jordan Zimmermann - R 4-5 -1 L
2.0 Diamondbacks C hase Anderson - R Nationals Stephen Strasburg - R 1-8 -7 L
2.0 O/U
U
O
U
O
O
U
U
O
O
O
O
U
U
U
U
O
O
U
P
U
U
U
U
U
O
U
U
O
P
U
U
O
O
Hits
7-15 9-14 7-10 9-15 8-11 10-8 5-8 11-8 15-18 13-11 7-12 6-10 7-9 8-8 6-9 13-10 10-8 6-12 7-9 6-5 5-12 5-7 5-8 8-13 9-9 6-10 6-13 8-13 6-12 8-8 8-11 9-8 3-12 Errors
1-1 0-0 0-1 2-1 0-1 2-0 1-0 4-0 3-1 1-0 0-0 1-0 0-0 1-0 1-0 2-0 1-1 2-0 3-1 0-0 3-1 0-0 1-0 0-1 0-0 0-0 2-0 0-1 0-0 0-0 1-0 0-0 0-0 BL
0-9 2-6 1-4 0-10 0-8 1-2 0-2 2-4 3-13 6-2 3-1 2-3 0-5 0-2 0-7 1-4 0-4 0-6 1-5 1-3 0-6 1-2 0-3 0-6 0-7 0-4 0-8 1-4 0-7 1-1 0-7 1-1 1-7 Line
200 200 200 230 200 260 260 200 220 240 320 280 210 260 300 230 260 290 200 200 205 200 205 210 220 220 270 200 240 240 200 200 205 Total Inn.
13.5 9
9.0 9
10.0 9
9.0 9
8.5 9
8.0 9
8.5 9
9.5 9
9.5 9
10.0 9
7.5 9
8.5 9
10.5 9
9.0 9
9.0 9
8.5 9
8.5 9
8.5 9
7.0 9
7.5 9
9.5 9
7.0 9
10.0 9
8.0 9
8.5 9
9.0 9
8.5 9
8.5 9
8.0 9
9.0 9
8.5 9
7.0 10+
7.0 9
SportsBook
Breakers
TOP STARTER TREND
Jon Lester has produced
a team record of 20-0
(+$2,075) in his career
at night when his team
used at least six pitchers
yesterday and scored less
than five runs in the first
inning.
SU: RL: 20-0 (3.60, 100.0%) 13-5 (2.61, 72.2%) Team Opp Date
Jun 27, 2006 Jul 07, 2006 Sep 12, 2007 Oct 28, 2007 May 31, 2008 Jul 03, 2008 Aug 02, 2008 Aug 18, 2008 Oct 06, 2008 Apr 29, 2009 Oct 01, 2009 May 09, 2010 Aug 14, 2010 Sep 06, 2010 May 30, 2012 Aug 24, 2012 Aug 19, 2013 Oct 28, 2013 Apr 17, 2014 May 27, 2014 Runs
6.0 2.5 Site
home away home away away away home away home away home home away home home home away away away away Hits
10.4 7.1 Team
Red Sox Red Sox Red Sox Red Sox Red Sox Red Sox Red Sox Red Sox Red Sox Red Sox Red Sox Red Sox Red Sox Red Sox Red Sox Red Sox Red Sox Red Sox Red Sox Red Sox SDQL Text
starter=Jon Lester and rest=0 and
6<=p:PU and NGT and p:R1<5
Trend Analysis
A great feature from www.killersports.
com is the ability to isolate starting pitcher
trends using the “starter=name” parameter.
One such trend which we at SportsBook
Breakers really like and have now tracked
for the past five seasons is as follows: Jon
Lester has produced a team record of 20-0
(+$2,075) in his career at night when his
team used at least six pitchers yesterday and
scored less than five runs in the first inning.
When you ask baseball types what defines a true ace, the first thing you are likely
to hear is a pitcher who can stop a winning
streak. The second item you will hear is a
pitcher that can pick up a tired bullpen and
that is what we see Jon Lester doing here.
This trend looks at games where Jon
Lester is pitching when his team played
yesterday and was forced to use at least five
relievers. The SDQL shortcut “NGT” isolates
just night games, in part eliminating games
with a quick night-to-day turnaround. And
finally, the parameter “p:M1<5” eliminates
games where Lester’s team jumped out to
big first inning, alleviating the need for the
team to use its best relievers.
Lester offers nice, consistent efforts in
these games, going at least six innings in 16
of the 20 starts and allowing no more than
two runs in 14 of the 20.
All 20 previous active games have come
with Boston but this season, Lester will
continue this trend with the Cubs, where
their questionable bullpen may lead to extra
active instances of this strong trend.
avg line: -134.3 / 120.8
avg line: 102.7 / -115.8
Errors
0.2 0.6 Walks
3.6 3.0 Starter
Jon Lester - L Jon Lester - L Jon Lester - L Jon Lester - L Jon Lester - L Jon Lester - L Jon Lester - L Jon Lester - L Jon Lester - L Jon Lester - L Jon Lester - L Jon Lester - L Jon Lester - L Jon Lester - L Jon Lester - L Jon Lester - L Jon Lester - L Jon Lester - L Jon Lester - L Jon Lester - L Query Output File
Strike Outs
7.2 8.0 Grounders
10.3 9.5 Fly Balls
6.5 7.6 Opp
Starter
ScoreSUm
Mets Alay Soler - R 9-4 5 White Sox Mark Buehrle - L 7-2 5 Rays Edwin Jackson - R 5-4 1 Rockies Aaron Cook - R 4-3 1 Orioles Garrett Olson - L 6-3 3 Yankees Andy Pettitte - L 7-0 7 Athletics Dana Eveland - L 12-2 10 Orioles Jeremy Guthrie - R 6-3 3 Angels John Lackey - R 3-2 1 Indians Fausto Carmona - R 6-5 1 Indians Carlos Carrasco - R 3-0 3 Yankees AJ Burnett - R 9-3 6 Rangers Colby Lewis - R 3-1 2 Rays Jeff Niemann - R 12-5 7 Tigers Drew Smyly - L 6-4 2 Royals Bruce Chen - L 4-3 1 Giants Tim Lincecum - R 7-0 7 Cardinals Adam Wainwright - R 3-1 2 White Sox Chris Sale - L 3-1 2 Braves Aaron Harang - R 6-3 3 W/L
W
W
W
W
W
W
W
W
W
W
W
W
W
W
W
W
W
W
W
W
Team left on base
7.3
6.5
OUm
2.5 -1.0 -1.5 -4.0 0.0 -2.0 5.0 0.5 -3.5 1.5 -6.5 3.0 -5.0 8.5 0.5 -2.0 0.0 -2.5 -3.0 2.0 O/U
O
U
U
U
P
U
O
O
U
O
U
O
U
O
O
U
P
U
U
O
Hits
15-6 13-8 9-9 9-7 9-9 11-5 14-7 9-5 9-6 10-8 12-3 10-7 10-7 9-8 12-12 10-7 12-6 9-4 5-8 12-10 Errors
0-0 0-0 0-0 0-0 0-2 0-1 0-1 0-1 0-1 1-1 0-0 0-1 1-1 0-0 0-0 1-1 1-1 0-0 0-0 0-1 BL
6-0 5-0 1-4 3-0 3-2 7-0 10-2 3-0 2-0 1-5 3-0 7-0 3-0 9-1 2-3 2-1 7-0 2-0 2-0 3-1 Line
-125 130 -205 -135 -130 125 -220 -125 -135 -125 -245 -110 -105 -160 -135 -177 -125 115 105 -105 Total Inn.
10.5 9
10.0 9
10.5 9
11.0 9
9.0 9
9.0 9
9.0 9
8.5 9
8.5 9
9.5 10+
9.5 9
9.0 9
9.0 9
8.5 9
9.5 9
9.0 9
7.0 9
6.5 9
7.0 9
7.0 9
2015 MLB Bible • 11
SportsBook
Breakers
OU TEAM TREND
The Red Sox are 0-19-1 OU
since October 2009 when
the total is under 11 when
they are facing a starter
with an ERA of at least 6.50
and it is at least game 33 of
the season.
SU: OU: 13-7 (0.80, 65.0%) 0-19-1 (-3.67, 0.0%) Team Opp Date
Oct 01, 2009 May 14, 2010 Jun 19, 2010 Jul 02, 2010 Jul 11, 2010 May 22, 2011 Jul 05, 2011 Jul 25, 2011 Jun 22, 2012 Jul 16, 2012 Aug 05, 2012 Aug 07, 2012 Aug 10, 2012 May 11, 2013 May 17, 2013 Jun 13, 2013 Jun 18, 2013 Jun 26, 2013 Aug 20, 2013 Oct 12, 2013 Runs
3.4 2.5 Site
home away home home away home home home home home home home away home away away home home away home 12 • KillerSports.com
Hits
8.4 7.1 SDQL Text
team = Red Sox and date>=20091001
and total<11 and wins+losses>=32 and
o:STDSERA>=6.5
Trend Analysis
When a team that is traditionally one of
the best offenses in the league is facing a
really bad starting pitcher, it is only logical
that you would expect there to be a good
deal of runs scored. Boston has been one
of the best offenses in the league, but as we
see from this OU trend, that scoring has not
come in these games.
The Red Sox are 0-19-1 OU since October
2009 when the total is under 11 if they are
facing a starter with an ERA of at least 6.50
and it is at least game 33 of the season.
An opposing pitcher with an ERA of at
least 6.50 is a pretty fair jumping point for
assuming he is truly not a very good pitcher
and besides a couple of notable exceptions,
the list of pitchers found in the game log
shows that this is indeed the case.
The parameter of “wins+losses>=32” is
added to ensure that this is at least game
33 of the season, allowing starter’s ERA
to normalize over at least a month of the
season (several starters will have higher
ERAs than normal over the first month of
the season due to small sample size).
The final parameter of “total<11”
eliminates games with an extraordinarily
high total, but in general, we are seeing
value with the total number in these games.
The average total in these games is 9.6 while
the average total the Red Sox have played
to in all games over this time frame is 8.7.
For whatever reason, the Red Sox offense
just doesn’t do well against these starters,
scoring just 3.4 runs per game compared to
their normal average of 4.8 runs per game.
Their pitching has bailed them out in many
of these games, allowing just 2.5 runs per
game, leading to comfortable unders in most
of these instances.
avg line: -171.2 / 153.2
avg total: 9.6
Errors
0.6 0.4 Walks
2.4 2.4 Query Output File
Strike Outs
7.3 7.8 Team
Starter
Opp
Red Sox Jon Lester - L Indians Red Sox Clay Buchholz - R Tigers Red Sox Tim Wakefield - R Dodgers Red Sox Tim Wakefield - R Orioles Red Sox D aisuke Matsuzaka - R Blue Jays Red Sox Tim Wakefield - R Cubs Red Sox Jon Lester - L Blue Jays Red Sox Jon Lester - L Royals Red Sox Jon Lester - L Braves Red Sox Aaron Cook - R White Sox Red Sox Franklin Morales - L Twins Red Sox Jon Lester - L Rangers Red Sox Clay Buchholz - R Indians Red Sox Clay Buchholz - R Blue Jays Red Sox Clay Buchholz - R Twins Red Sox Felix Doubront - L Orioles Red Sox Felix Doubront - L Rays Red Sox John Lackey - R Rockies Red Sox Jake Peavy - R Giants Red Sox Jon Lester - L Tigers Grounders
9.8 9.3 Fly Balls
7.0 6.8 Starter
ScoreSUm
Carlos Carrasco - R 3-0 3 Max Scherzer - R 7-2 5 Vicente Padilla - R 5-4 1 Bradley Bergesen - R 3-2 1 Jesse Litsch - R 3-2 1 James Russell - L 5-1 4 Brett Cecil - L 3-2 1 Kyle Davies - R 1-3 -2 Jair Jurrjens - R 1-4 -3 Dylan Axelrod - R 5-1 4 Nick Blackburn - R 6-4 2 Ryan Dempster - R 3-6 -3 Chris Seddon - L 3-2 1 Mark Buehrle - L 2-3 -1 Vance Worley - R 3-2 1 Kevin Gausman - R 4-5 -1 Jake Odorizzi - R 3-1 2 Roy Oswalt - R 5-3 2 Ryan Vogelsong - R 2-3 -1 Anibal Sanchez - R 0-1 -1 W/L
W
W
W
W
W
W
W
L
L
W
W
L
W
L
W
L
W
W
L
L
Team left on base
6.7
6.6
OUm
-6.5 0.0 -1.5 -5.5 -4.5 -4.5 -4.5 -5.5 -5.5 -4.5 -0.5 -0.5 -4.0 -4.5 -3.5 -0.5 -6.0 -2.0 -2.5 -7.0 O/U
U
P
U
U
U
U
U
U
U
U
U
U
U
U
U
U
U
U
U
U
Hits
12-3 10-5 10-6 6-7 6-8 12-5 7-6 13-12 3-13 10-5 14-6 8-10 6-2 7-8 10-4 9-12 7-4 10-9 7-8 1-9 Errors
0-0 1-0 4-0 0-1 0-0 0-1 0-0 0-1 0-0 2-0 0-0 0-1 2-1 0-1 0-1 2-1 0-0 0-0 0-0 1-0 BL
3-0 5-0 2-1 1-1 3-0 4-0 3-0 1-2 0-3 4-1 5-0 0-4 2-1 0-2 1-1 0-3 2-0 4-1 2-1 0-1 Line
-245 -125 -145 -230 -125 -200 -230 -290 -180 -135 -190 -112 -155 -190 -141 -110 -150 -173 -155 -143 Total
9.5 9.0 10.5 10.5 9.5 10.5 9.5 9.5 10.5 10.5 10.5 9.5 9.0 9.5 8.5 9.5 10.0 10.0 7.5 8.0 Inn.
9
9
9
9
9
9
9
10+
9
9
9
9
9
9
10+
10+
9
9
9
9
KILLERSPORTS.COM MLB TRENDS SET
Up to this point, this MLB Bible has been primarily about trend and system analysis, and that is certainly an important
part of understanding why certain situations have been smart gambling opportunities. However without the base
knowledge of what is happening — in this case the trends — there is no value in knowing how to analysis them.
With this in mind, SportsBook Breakers and Killersports.com have teamed up to load you up with trends — 215 perfect
trends in all. There are 215 total trends including six for each team, consisting of four win-loss team trends, one overunder team trend and one starter win-loss trend for each of MLB’s 30 clubs. In addition, there are 12 bonus team W-L
trends, 12 bonus team OU trends and 11 bonus starter W-L trends including the five example trends you find below.
With the five bonus trends below, we have the opportunity to take a look at how to properly read the trends on the
forthcoming pages. Each trend is broken down into three columns. The first column is used to identify the trend as a
team trend, starter trend or bonus trend. The second column is the heart of the information — the situation that has
occurred for the team, or starter, and their subsequent result. It also includes how far the trend dates back, with the
longest trends going back to the start of the database in 2004 (meaning these trends could be even bigger than described!)
Finally the third column is the SDQL text which will produce the trend on www.killersports.com or sportsdatabase.com.
TEAM W-L TRENDS
TREND ID
TREND DESCRIPTIONS
SDQL TEXT
BON001
The Red Sox are 11-0 (+$1,100) since 2006 as a favorite
between -120 and -180, following a win where they trailed
by at least three after six innings.
team=Red Sox and season>=2006 and
-180<=line<=-120 and p:M6<=-3 and p:W
BON002
The Mariners are 0-12 (+$1,265) since August 2007 after
a game where the teams combined for at least 20 runs.
team = Mariners and date>=20070801 and
p:runs + po:runs>=20
Each teams’ trends 001-004 are made up of team W-L trends. For example this means that in BON001, Boston has
won 11 times and has never lost since 2006 in the given situation. The other aspect is the (+$xxxx) included with each
W-L trend. For winning trends such as BON001, the given amount of money the $100 player would be up having bet on
this trend in each instance. That means that if the team was an underdog, the bettor wagered $100 to win the amount
of the underdog line. For favorites, the bettor would have risked the amount of the line in order to win $100. When
the trend is a losing trend such as BON002, the given amount represents how much a bettor would be up if they had
bet against the team in each instance, in the same fashion.
STARTER W-L TRENDS
BON003
Tommy Milone has produced a team record of 21-0 (+$2,347)
in his career in the regular season after going no more than
five innings while allowing less than 10 hits last start.
starter=Tommy Milone and s:SIP<=5 and playoffs=0 and s:SHA<10
The same guidelines to team W-L trend apply to starter W-L trends. Do note that while these trends are listed under
individual team sections, the trends often span over a pitcher’s time with more than one team. For instance this above
BON003 trend covers Tommy Milone’s time with Washington, Oakland and Minnesota.
OU TRENDS
BON004
The Reds are 15-0 OU since 2010 after a loss where they
allowed at least eight walks.
team=Reds and 2010<=season and
po:walks>=8 and p:L
BON005
The Giants are 0-10 OU since August 28, 2012 as a favorite of
more than -150 after a 5+ run loss.
team=Giants and line<-150 and p:margin<=-5
and date>=20120828
Each teams’ trend 005 is an OU trend. In BON004, the trend record of 15-0 means that Cincinnati has gone over
15 times with no unders in this situation. In BON005, San Francisco has gone under all 10 times in the given situation.
Winning dollar amounts are not given with OU trends as it is assumed the line on each bet was even on each side
meaning that betting the under would be (+$1,000) for trend BON005.
2015 MLB Bible • 13
LOS ANGELES ANGELS
TREND ID
TREND DESCRIPTIONS
SDQL TEXT
LAA001
The Angels are 0-15 (+$1,823) since April 10, 2013 after a
loss in which they had more than ten team-left-on-base.
team=Angels and 10<p:TLOB and p:L and
date>=20130410
LAA002
The Angels are 0-13 (+1,300) since July 2007 as a road dog
of more than +110 vs an American League opponent when
they are off a one-run win in which they led for fewer than
five innings and scored less than 14 runs.
team=Angels and 20070701<=date and A and
line>110 and conference = o:conference and
p:margin=1 and p:runs<14 and p:IL<5
LAA003
The Angels are 11-0 (+1,100) since June 20, 2012 as a
favorite of -125 or more after a 5+ run win when it is the
last game of a series.
team=Angels and line<=-125 and p:margin>=5
and LGS and date>=20120620
LAA004
The Angels are 8-0 (+$865) in database history when facing an AL team which has five or less hits in each of their
last three games.
team=Angels and op:hits<=5 and opp:hits<=5
and oppp:hits<=5 and C
LAA005
The Angels are 0-11-1 OU since June 20, 2012 at home after
a 5+ run win when it is the last game of a series.
team=Angels and H and p:margin>=5 and LGS
and date>=20120620
STARTER TREND
STR001
Jered Weaver has produced a team record of 20-0 (+$2,005)
in his career when he is off a start in which he had a WHIP
of at least two and they did not lose by more than seven,
if his team isn’t an underdog or more than +110.
starter=Jered Weaver and line<=110 and
s:SWHIP>=2 and s:margin>=-7
HOUSTON ASTROS
TREND ID
TREND DESCRIPTIONS
SDQL TEXT
HOU001
The Astros are 0-15 ($+1,500) since April 24, 2011 as a dog
after an extra inning win for a net profit of $1500 when
playing against.
team=Astros and D and p:XW and
date>=20110424
HOU002
The Astros are 11-0 (+$1,100) since May 2, 2008 as a
favorite of more than -110 when they are off a loss in which
they held the lead and it is the first game of a series.
team=Astros and line<-110 and p:BL>0 and p:L
and SG=1 and date>=20080502
HOU003
The Astros are 9-0 (+$1,020) in database history following
a loss where they led by at least four runs after five innings
and did not lead by more than that after the second inning.
team=Astros and p:M5>=4 and p:L and p:M2p:M5<=0
HOU004
The Astros are 0-8 (+$800) since September 10, 2010 after
a win where they trailed by more than a run after five innings and scored less than seven runs.
team=Astros and date>=20100910 and p:M5<=2 and p:W and p:runs<7
HOU005
The Astros are 0-10 OU since June 2007 as a home dog after
an extra inning loss where they scored at least two runs.
team=Astros and HD and p:XL and p:runs>1 and
date>=20070601
STARTER TREND
STR002
Scott Feldman has produced a team record of 0-11
(+$1,300) since September 2009 coming off a start where
he went less than five innings and allowed 4-7 runs.
14 • KillerSports.com
starter= Scott Feldman and date>=20090901
and s:SIP<5 and 7>=s:SRA>=4
OAKLAND ATHLETICS
TREND ID
TREND DESCRIPTIONS
SDQL TEXT
OAK001
The Athletics are 16-0 (+$1,890) since August 26, 2004 in
the last game of a 3+ game series following a shutout win
where they scored 2-10 runs and allowed less than seven
hits.
team=Athletics and 20040826<=date and
po:runs=0 and 10>=p:runs>=2 and LGS and
SG>2 and po:hits<7
OAK002
The Athletics are 11-0 (+$1,100) in database history as a
favorite of more than 120 when they’ve won each of the
past three games by at least four runs.
team=Athletics and line<-120 and p:margin>=4
and pp:margin>=4 and ppp:margin>=4
OAK003
The Athletics are 0-9 (+$1,015) in database history against
an AL team when they committed at least four errors last
game and it wasn’t the season opener.
team=Athletics and conference=o:conference
and p:errors>=4 and wins+losses>1
OAK004
The Athletics are 0-8 (+$1,058) since July 9, 2014 on the
road after scoring 6+ runs in a win.
team=Athletics and A and 6<=p:runs and p:W
and date>=20140709
OAK005
The Athletics are 0-12 OU in database history when they’ve
lost four straight game by multi-runs and are facing a starter
with an ERA of at least 3.45.
team=Athletics and p:margin<=-2 and
pp:margin<=-2 and ppp:margin<=-2 and
pppp:margin<=-2 and o:STDSERA>=3.45
STARTER TREND
STR003
Sonny Gray has produced a team record of 0-7 (+$988) in his
career when his team won last game and Gray had a WHIP of
less than one last start.
starter=Sonny Gray and s:SWHIP<1 and p:W
TORONTO BLUE JAYS
TREND ID
TREND DESCRIPTIONS
SDQL TEXT
TOR001
The Blue Jays are 17-0 (+$1,700) in database history as a
home favorite in a game not starting before 1:00 after a win
in which they allowed 12+ hits against this team.
team=Blue Jays and HF and start time>=1300
and 12<=po:hits and p:W and SG>1
TOR002
The Blue Jays are 0-15 (+$1,500) since September 2006 as
a 145+ dog after shutting out their opponent.
team=Blue Jays and line>=145 and po:runs=0
and date>=20060901
TOR003
The Blue Jays are 0-11 (+$1,280) since August 2010 if not
a 230+ favorite after a game where they got a complete
game from their starter who threw at least 106 pitches, if
did not trail by 3+ runs after seven innings.
team=Blue Jays and date>=20100801 and
p:PU=1 and p:pitches>=106 and p:M7>-3 and
line>-230
TOR004
The Blue Jays are 11-0 (+$1,147) since 2008 facing an AL
team following a win where they trailed by at least four
runs, but were not down more than four after five innings.
team=Blue Jays and season>=2008 and
p:W and po:BL>=4 and p:M5>=-4 and
o:conference=conference
TOR005
The Blue Jays are 0-7-1 OU in database history with a total
of at least nine, if they scored 15+ runs last game.
team=Blue Jays and season>=2004 and
p:runs>=15 and total>=9
STARTER TREND
STR004
Mark Buehrle has produced a team record of 8-0 (+$1,160)
since May 6, 2013 as a 140+ dog when they are not on a
5+ game losing streak.
starter=Mark Buehrle and 140<=line and
streak>-5 and date>=20130506
2015 MLB Bible • 15
ATLANTA BRAVES
TREND ID
TREND DESCRIPTIONS
SDQL TEXT
ATL001
The Braves are 0-13 (+$1,320) since September 2011 as a
road dog after a loss in which they used 5+ pitchers.
team=Braves and AD and 5<=p:pitchers used
and p:L and date>=20110901
ATL002
The Braves are 11-0 (+$1,200) since 2006 on the road when
they are off two one-run wins but not 9+ straight wins.
team=Braves and A and p:margin=1 and
pp:margin=1 and streak<9 and season>=2006
ATL003
The Braves are 11-0 (+$1,100) since June 24, 2005 as a
favorite with a total under 10 after being shutout yesterday.
team=Braves and F and total<10 and p:runs=0
and SG=1 and rest=0 and date>=20050624
ATL004
The Braves are 0-10 (+$1,170) since August 2008 on the
road after a loss in which they had 12+ hits and allowed
less than 10 runs.
team=Braves and A and p:hits>=12 and p:L and
po:runs<10 and date>=20080801
ATL005
The Braves are 0-9 OU since May 18, 2004 as a dog when
the total is under nine, vs a team that has lost at least their
last three games and it is the first game of a series.
team=Braves and D and total<9 and
o:streak<=-3 and SG=1 and date>=20040518
STARTER TREND
STR005
Mike Minor has produced a team record of 15-0 (+$1,500)
in his career as a favorite of more than -115 when he had
a WHIP of less than one last start and his team scored last
game.
starter=Mike Minor and line<-115 and
s:SWHIP<1 and p:runs>0
MILWAUKEE BREWERS
TREND ID
TREND DESCRIPTIONS
SDQL TEXT
MIL001
The Brewers are 0-14 (+$1,400) in database history as a
200+ dog with a total of at least eight.
team=Brewers and line>=200 and total>=8
MIL002
The Brewers are 0-12 (+$1,200) since July 8, 2004 as a home
dog after shutting out their opponent at least three hits.
team=Brewers and HD and po:runs=0 and
po:hits>=3 and date>=20040708
MIL003
The Brewers are 9-0 (+$900) since May 16, 2006 as a favorite of more than -120 when they are off a walk off win
and it is the first game of a series.
team=Brewers and line<-120 and p:WOW and
SG=1 and date>=20060516
MIL004
The Brewers are 8-0 (+$1,160) since August 27, 2013 as a
road dog of +130-+165 in the first game of the series.
team=Brewers and A and 130<=line<=165 and
SG=1 and date>=20130827
MIL005
The Brewers are 0-10 OU since July 2011 as a home favorite prior to September after shutting out their opponent
last game.
team=Brewers and HF and po:runs=0 and
month<9 and date>=20110701
STARTER TREND
STR006
Matt Garza has produced a team record of 0-14 (+$1,632)
in his career when the total is under 9 after a start where
he allowed no runs and threw at least seven innings and
103 pitches.
16 • KillerSports.com
starter=Matt Garza and s:SRA=0 and
s:SPT>=103 and total<9 and s:SIP>=7
ST LOUIS CARDINALS
TREND ID
TREND DESCRIPTIONS
SDQL TEXT
STL001
The Cardinals are 0-14 (+$1.400) since June 20, 2006 as a
regular season road dog of +140 or more when they are
off a win in which they never trailed and it is not the last
game of a series.
team=Cardinals and A and 140<=line and
po:BL=0 and p:W and playoffs=0 and SG!=SGS
and date>=20060620
STL002
The Cardinals are 11-0 (+$1,110) since September 16, 2010
at home after a 1-2 run loss in which they had at least five
more team-left-on-base than their opponent.
team=Cardinals and H and -2<=p:margin<=-1
and po:TLOB+5<=p:TLOB and date>=20100916
STL003
The Cardinals are 11-0 (+$1,100) since 2010 at home coming off a road loss as a favorite of at least -130.
team=Cardinals and H and p:AL and
p:line<=-130 and season>=2010
STL004
The Cardinals are 0-11 (+1,355) since 2007 if not more
than -200 favorites after a game where they allowed at
least four unearned runs but did not give up five or more
runs in the first inning.
team=Cardinals and season>=2007 and po:runs
- po:earned runs>=4 and po:R1<5 and line>=200
STL005
The Cardinals are 12-0 OU since September 13, 2009 at
home when they are off a loss in which they scored in at
least four separate innings.
team=Cardinals and H and p:SII>=4 and p:L and
date>=20090913
STARTER TREND
STR007
Adam Wainwright has produced a team record of 9-0
(+$905) since 2007 on the road against an NL team that
has lost at least their last three games.
starter=Adam Wainwright and A and
o:streak<=-3 and conference=o:conference and
season>=2007
CHICAGO CUBS
TREND ID
TREND DESCRIPTIONS
SDQL TEXT
CHC001
The Cubs are 11-0 (+$1,100) since June 3, 2007 as a favorite
when they are off two losses in which they never led and
it is the last game of a series.
team=Cubs and F and p:BL=0 and p:L
and pp:BL=0 and pp:L and SG=SGS and
date>=20070603
CHC002
The Cubs are 9-0 (+$998) in database history when the total
is no more than 10, following a loss where they led by at
least three after one inning.
team=Cubs and p:M1>=3 and p:L and total<=10
CHC003
The Cubs are 0-9 (+$905) since September 2008 on the
road after allowing 6+ runs in a win by three runs or less.
team=Cubs and A and 6<=po:runs and
0<p:margin<=3 and date>=20080901
CHC004
The Cubs are 0-7 (+$1,330) in database history as a 200+
favorite when their opponent is seeking immediate revenge
for a shutout loss.
team=Cubs and H and line<=-200 and SG>1 and
po:runs=0
CHC005
The Cubs are 10-0 OU since May 3, 2008 as a road favorite
of at least -120 after a loss in which they allowed 5+ walks
and it is not the first game of a series.
team=Cubs and 20080503<=date and A and
line<=-120 and p:L and SG>1 and po:walks>=5
STARTER TREND
STR008
Travis Wood has produced a record of 0-15 (+$1,500) since
August 2012 as a dog of at least +100 after more strike outs
than hits allowed and between 6 and 10 strikeouts.
starter=Travis Wood and line>=100 and
s:SSO>s:SHA and 10>=s:SSO>=6 and
date>=20120801
2015 MLB Bible • 17
ARIZONA DIAMONDBACKS
TREND ID
TREND DESCRIPTIONS
SDQL TEXT
ARI001
The Diamondbacks are 0-28 (+$2,800) as a +180 or greater
underdog against an NL West team ahead of them in the
standings.
team=Diamondbacks and 180<=line and DIV
and o:WP>WP
ARI002
The Diamondbacks are 0-16 (+$1,615) since 2009 if they
aren’t more than -135 favorites and have allowed six or
less hits each of the past three games.
team=Diamondbacks and season>=2009 and
po:hits<=6 and ppo:hits<=6 and pppo:hits<=6
and line>=-135
ARI003
The Diamondbacks are 11-0 (+$1,125) at home before September coming off an extra inning loss against this team.
team=Diamondbacks and H and p:XL and SG>1
and month<9 and season>=2005
ARI004
The Diamondbacks are 7-0 (+$720) in database history following a win where they trailed by at least six runs.
team=Diamondbacks and p:W and po:BL>=6
ARI005
The Diamondbacks are 0-7 OU since 2013 on a 4+ game
winning streak.
team = Diamondbacks and season >= 2013 and
streak>=4
STARTER TREND
STR009
Patrick Corbin has produced a team record of 10-0
(+$1,162) since September 16, 2012 vs a team that has
won at least their last two games.
starter=Patrick Corbin and 2<=o:streak and
date>=20120916
LOS ANGELES DODGERS
TREND ID
TREND DESCRIPTIONS
SDQL TEXT
LAD001
The Dodgers are 0-13 (+$1,300) since June 24, 2004 as a
road dog vs a team that has won at least their last four
games and it is the last game of a series.
team=Dodgers and AD and 4<=o:streak and
SG=SGS and date>=20040624
LAD002
The Dodgers are 10-0 (+$1,000) since July 2007 as a home
favorite of at least -120 vs a team that has won at least
their last three games and it is the last game of a series.
team=Dodgers and H and line<=-120 and
3<=o:streak and SG=SGS and date>=20070701
LAD003
The Dodgers are 10-0 (+$1,000) in database history as a
road favorite after a loss in which they did not walk the
opponent.
team=Dodgers and AF and po:walks=0 and p:L
LAD004
The Dodgers are 0-9 (+$1,277) since May 2007 as a road
140+ favorite when they are off two wins in which they
never trailed.
team=Dodgers and A and line<=-140 and
po:BL=0 and p:W and ppo:BL=0 and pp:W and
date>=20070501
LAD005
The Dodgers are 13-0 OU since August 8, 2012 as a favorite
of more than -140 when they are off two losses in which
they never led.
team=Dodgers and F and p:margin>=5 and
SG=1 and date>=20110708
STARTER TREND
STR010
Clayton Kershaw has produced a team record of 14-0
(+$1,470) since 2009 when the total is at least 7 and his
team’s starter worked less than five innings yesterday.
18 • KillerSports.com
starter=Clayton Kershaw and season>=2009 and
p:SIP<5 and rest=0 and total>=7
KILLERSPORTS.COM MLB BONUS SU TRENDS
BONUS SU TRENDS
TREND ID
TREND DESCRIPTIONS
SDQL TEXT
BON006
The Cardinals are 16-0 (+$1,600) since June 2010 as a home
favorite of -125 to -200 coming off a walk off win.
team=Cardinals and H and -200<=line<=-125
and p:WOW and date>=20100601
BON007
The Yankees are 13-0 (+$1,300) since September 2011 if
they are not -190+ favorites, after a game where they committed at least three errors and allowed at least five hits.
team=Yankees and date>=20110901 and
p:errors >= 3 and po:hits>=5 and line>-190
BON008
The Royals are 12-0 (+$1,200) since April 19, 2014 as a
home favorite in the second or third game of the series
when they are off a win in which they never trailed.
team=Royals and HF and po:BL=0 and p:W and
3>=SG>=2 and date>=20140419
BON009
The Rays are 11-0 (+$1,100) since May 3, 2009 as a 140+
favorite after scoring 6+ runs in a loss.
team=Rays and line<=-140 and 6<=p:runs and
p:L and date>=20090503
BON010
The Red Sox are 11-0 (+$1,147) in database history when
they committed at least four errors last game.
team=Red Sox and p:errors>=4
BON011
The Cubs are 10-0 (+$1,000) since June 30, 2008 as a road
favorite of more than -115 after losing as a road dog last
game.
team=Cubs and A and line<-115 and p:ADL and
date>=20080630
BON012
The Royals are 0-12 (+$1,205) since December 2004 after
a game where they had two or fewer hits.
team=Royals and date>=20040901 and
p:hits<=2
BON013
The Giants are 0-11 (+$1,238) since 2005 if they are not
dogs of more than +120, coming off a win where they
trailed by at least three runs after six innings.
team=Giants and season>=2005 and p:M6<=-3
and p:W and line<=120
BON014
The Reds are 0-10 (+$1,331) since June 2013 as a favorite
when they are off a win in which they had at least three
times as many hits as runs and it is not the first game of
a series.
team=Nationals and season>=2006 and
os:SRA>=9 and os:SIP<=4
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2015 MLB Bible • 19
SAN FRANCISCO GIANTS
TREND ID
TREND DESCRIPTIONS
SDQL TEXT
SF001
The Giants are 0-14 (+$1,400) since July 27, 2005 as a dog
of 195 or greater.
team=Giants and date>=20050727 and
line>=195
SF002
The Giants are 0-12 (+$1,200) since July 30, 2004 as a home
dog after a loss in which they had fewer than five teamleft-on-bae as a dog.
team=Giants and HD and p:TLOB<5 and p:DL
and date>=20040730
SF003
The Giants are 0-9 (+$978) since 2013 when at least their
last five games went over the total and Madison Bumgarner
is not starting.
team = Giants and ou streak >= 5 and
starter!=Madison Bumgarner and season >=
2013
SF004
The Giants are 9-0 (+$1,059) in database history as a dog
after an extra inning loss yesterday and it is the first game
of the series.
team=Giants and D and p:XL and SG=1 and
rest=0
SF005
The Giants are 0-8-1 OU since July 2011 facing an NL team
after they benefitted from at least three errors last game.
team = Giants and date>=20110701 and
po:errors >= 3 and o:conference=NL
STARTER TREND
STR011
Tim Lincecum has produced a team record of 11-0
(+$1,145) when coming off a start where he did not walk
a batter and went more than six innings.
starter=Tim Lincecum and s:SWA=0 and s:SIP>6
and season>=2009
CLEVELAND INDIANS
TREND ID
TREND DESCRIPTIONS
SDQL TEXT
CLE001
The Indians are 0-12 (+$1,200) since September 21, 2006
as a road dog after a one run loss and it is the last game
of a series.
team=Indians and AD and line<155 and
p:margin=-1 and SG=SGS and date>=20060921
CLE002
The Indians are 8-0 (+$883) in database history when
facing a team averaging less than 1.5 runs over their last
three games.
team=Indians and season>=2004 and oA(runs,
N=5)<1.5
CLE003
The Indians are 0-7 (+$1,050) since June 20, 2005 as a favorite after scoring 3 runs or less and winning as a favorite,
and it is the first game of a series.
team=Indians and F and po:runs<p:runs<=3 and
p:F and SG=1 and date>=20050620
CLE004
The Indians are 7-0 (+$860) since 2005 as home dogs in the
first three games of a series after a multi-run win where
they allowed at least five walks.
team=Indians and season>=2005 and HD and
po:walks>=5 and p:margin>1 and SG<=3
CLE005
The Indians are 0-9-1 OU since 2010 when they allowed 4+
home runs last game but did not lose by 7 or more.
team = Indians and season >= 2010 and
po:home runs >= 4 and p:margin>-7
STARTER TREND
STR012
Corey Kluber has produced a team record of 12-0 (+$1,200)
since June 2013 at home after more strike outs than hits
allowed.
20 • KillerSports.com
starter=Corey Kluber and H and s:SSO>s:SHA
and date>=20130601
SEATTLE MARINERS
TREND ID
TREND DESCRIPTIONS
SDQL TEXT
SEA001
The Mariners are 0-21 (+$2,332) since August 13, 2006
when they’ve allowed 12+ hits in each of the past three
games but did not allow 10+ runs in all three of those
games, and have not lost eight or more straight games.
team=Mariners and date>=20060813
and po:hits>=12 and ppo:hits>=12 and
pppo:hits>=12 and (po:runs<10 or ppo:runs<10
or pppo:runs<10) and streak>=-7
SEA002
The Mariners are 0-14 (+$1,400) since August 08, 2009 as
a dog after an extra inning win and it is not the first game
of a series.
team=Mariners and D and p:XW and SG>1 and
date>=20090808
SEA003
The Mariners are 10-0 (+$1,328) since May 31, 2013 on
the road with less than three days rest vs a team that has
won at least their last three games.
team=Mariners and A and 3<=o:streak and
rest<3 and date>=20130531
SEA004
The Mariners are 0-9 (+$940) in database history following
a loss where they led by at least four runs after the fifth
inning.
team=Mariners and p:M5>=4 and p:L
SEA005
The Mariners are 13-0 OU since August 8, 2012 after scoring 6+ runs in a loss.
team=Mariners and 6<=p:runs and p:L and
date>=20120808
STARTER TREND
STR013
Felix Hernandez has produced a team record of 9-0 (+$980)
in his career vs a team on a 3-7 game winning streak and
it is the first game of the series.
starter=Felix Hernandez and 3<=o:streak<=7
and SG=1
MIAMI MARLINS
TREND ID
TREND DESCRIPTIONS
SDQL TEXT
MIA001
The Marlins are 0-12 (+$1,370) in database history at home
when they are off a walk off loss.
team=Marlins and H and po:WOW
MIA002
The Marlins are 0-11 (+$1,240) since 2010 if their opponent
has won at least 41% of their games on the season but
allowed at least 11 hits in each of the last three games.
team=Marlins and season>=2010 and
opo:hits>=11 and oppo:hits>=11 and
opppo:hits>=11 and o:WP>=41
MIA003
The Marlins are 0-11 (+$1,100) since August 2011 on the
road after a multi-run loss against this team where they
allowed 6 or fewer hits.
team=Marlins and A and po:hits<=6 and
p:margin<-1 and SG>1 and date>=20110801
MIA004
The Marlins are 9-0 (+$1,190) since 2007 if their opponent
has 12+ hits in each of their last three games and did not
lose by more than a run last game.
team=Marlins and season>=2007 and
op:hits>=12 and opp:hits>=12 and
oppp:hits>=12 and op:margin>=-1
MIA005
The Marlins are 0-10-1 OU since July 3, 2005 as a road
favorite it is the last game of a three game series when
they split the first two.
team=Marlins and A and F and SG=SGS=3
and ((p:W and pp:L) or (p:L and pp:W)) and
date>=20050703
STARTER TREND
STR014
Jose Fernandez has produced a team record of 14-0
(+$1,464) since April 13, 2013 at home after more strike
outs than hits allowed.
starter=Jose Fernandez and H and s:SSO>s:SHA
and date>=20130413
2015 MLB Bible • 21
NEW YORK METS
TREND ID
TREND DESCRIPTIONS
SDQL TEXT
NYM001
The Mets are 10-0 (+$1,095) since May 27, 2006 with a
total over seven after a game against an NL team when
they had just two hits.
team=Mets and date>=20060527 and p:hits<=2
and total>7 and po:conference==conference
NYM002
The Mets are 7-0 (+$700) since August 2013 as a home
favorite of more than -120 in the last game of a series.
team=Mets and H and line<-120 and LGS and
date>=20130801
NYM003
The Mets are 0-7 (+$700) since September 2013 as an underdog of more than +110 after a win where they scored
no more than three runs and it is not the last game of the
series.
team=Mets and line>110 and
po:runs<p:runs<=3 and SG!=SGS and
date>=20130901
NYM004
The Mets are 6-0 (+$1,160) since May 16, 2013 as a 175+
dog it is the last game of the series.
team=Mets and 175<=line and SG=SGS and
date>=20130516
NYM005
The Mets are 13-0 OU since September 8, 2011 as a dog
after scoring 3 runs or less and winning as a favorite.
team=Mets and D and po:runs<p:runs<=3 and
p:F and date>=20110908
STARTER TREND
STR015
Jon Niese has produced a team record of 0-9 (+$1,067)
since April 20, 2012 after he had a WHIP of less than
one his last start and they won by less than nine runs.
starter=Jon Niese and s:SWHIP<1 and
9>s:margin>0 and season>=2012
WASHINGTON NATIONALS
TREND ID
TREND DESCRIPTIONS
SDQL TEXT
WAS001
The Nationals are 21-0 (+$2,100) in team history as a road
favorite in the regular season after a win where they allowed
6 or fewer hits, which did not end a 3+ game losing streak.
team=Nationals and AF and po:hits<=6 and p:W
and p:streak>-3 and playoffs=0
WAS002
The Nationals are 0-13 ($+1,300) since September 14, 2012 as
a road dog after a win in which they used 5+ pitchers.
team=Nationals and AD and 5<=p:PU and p:W
and date>=20120914
WAS003
The Nationals are 10-0 ($+1,020) since June 10, 2014 coming off a 5+ run win against this opponent.
team=Nationals and p:margin>=5 and SG>1 and
date>=20140610
WAS004
The Nationals are 7-0 (+$1,380) since September 26, 2007
as a 170+ dog after a one run win and it is not the first
game of a series.
team=Nationals and 170<=line and p:margin=1
and SG>1 and date>=20070926
WAS005
The Nationals are 0-15-1 OU since August 24, 2011 when
they were shutout last game with 3-6 hits while allowing
less than nine runs and less than 10 team left on base.
team=Nationals and date>=20110824 and
p:runs=0 and po:runs<9 and 6>=p:hits>=3 and
po:TLOB<10
STARTER TREND
STR016
Jordan Zimmermann has produced a team record of
10-0 (+$1,000) since September 24, 2012 at home in
the regular seasonafter winning as a home favorite in
his last start.
22 • KillerSports.com
starter=Jordan Zimmermann and H and playoffs=0 and s:HFW and date>=20120924
BALTIMORE ORIOLES
TREND ID
TREND DESCRIPTIONS
SDQL TEXT
BAL001
The Orioles are 0-18 (+$1,940) since August 2006 after an
extra inning loss and it is the last game of a series.
team=Orioles and p:XL and LGS and
date>=20060801
BAL002
The Orioles are 10-0 (+$1,000) since September 26, 2012
as a favorite after being shutout.
team=Orioles and F and p:runs=0 and
date>=20120901
BAL003
The Orioles are 8-0 (+$1,158) since 2009 as a dog of +105
or more with a total of at least nine after a game where
they benefited from at least three unearned runs.
team=Orioles and season>=2009 and line>=105
and p:runs-p:earned runs>=3 and total>=9
BAL004
The Orioles are 0-8 (+$855) since May 2007 after a loss
where they led by at least three runs after seven innings.
team=Orioles and date>=20070501 and
p:M7>=3 and p:L
BAL005
The Orioles are 0-12 OU since 2008 against AL teams when
coming off a win where they had at least eight hits and they
trailed by at least two runs after seven innings and at least
a run after eight innings.
team=Orioles and season>=2008 and p:M8<=1 and p:M7<=-2 and p:W and p:hits>=8 and
conference=o:conference
STARTER TREND
STR017
Chris Tillman has produced a team record of 8-0 (+$1,028)
since July 31, 2012 on the road after walking at least four
batters.
starter=Chris Tillman and A and s:SWA>=4 and
date>=20120731
SAN DIEGO PADRES
TREND ID
TREND DESCRIPTIONS
SDQL TEXT
SD001
The Padres are 0-16 (+$1,600) since May 8, 2009 on the
road after a win in which they allowed 5+ walks and it is
the first game of a series.
team=Padres and A and 5<=po:walks and p:W
and SG=1 and date>=20090508
SD002
The Padres are 0-13 (+$1,300) since September 19, 2013
on the road against a team on a 2-5 game losing streak.
team=Padres and A and -5<=o:streak<=-2 and
date>=20130919
SD003
The Padres are 11-0 (+$1,210) in database history when
they allowed 13+ runs last game and scored between 2
and 11.
team=Padres and po:runs>=13 and
11>=p:runs>=2
SD004
The Padres are 0-8 (+$1,495) since 2005 as a 200+ favorite
when they are off a loss in which they never led, as long as
they were not a 150+ dog in that loss.
team=Padres and season>=2005 and line<=-200
and p:BL=0 and p:line<150
SD005
The Padres are 0-11-2 OU since September 16, 2013 when
the total is over 6 after they struck out at least 13 batters
last game.
team = Padres and date>=20130916 and
po:strike outs>=13 and total>6
STARTER TREND
STR018
Ian Kennedy has produced a team record of 11-0 (+$1,173)
since May 5, 2011 after he had a WHIP of less than one his
last start at home that was not a multi-run loss.
starter=Ian Kennedy and s:SWHIP<1 and s:H and
s:margin>-2 and date>=20110505
2015 MLB Bible • 23
PHILADELPHIA PHILLIES
TREND ID
TREND DESCRIPTIONS
SDQL TEXT
PHL001
The Phillies are 13-0 (+$1,300) since September 2004 as
a favorite of 130+ when they are off a win in which they
scored first and did not score after the third inning but
had 3-7 runs.
team=Phillies and 20040901<=date and line<=130 and p:runs-p:S3=0 and p:scored first=1 and
p:W and 7>=p:runs>=3
PHL002
The Phillies are 0-12 (+$1,200) since July 15, 2010 as a dog
after a win in which they had six or fewer hits and allowed
at least four hits.
team=Phillies and D and p:hits<=6 and
po:hits>=4 and p:W and date>=20100715
PHL003
The Phillies are 0-10 (+$1,052) since 2005 after a game
where they struck out at least 15 times but did not lose
by three or more.
team=Phillies and season>=2005 and p:SO>=15
and p:margin>-3
PHL004
The Phillies are 0-8 (+$925) since August 2005 on the road
after being shutout in a game where they were not favored
by more than -110 and it is the last game of a series.
team=Phillies and A and p:runs=0 and LGS and
p:line>=-110 and date>=20050801
PHL005
The Phillies are 0-14 OU since May 9, 2013 when they are
not playing the Mets, after forcing their opponent to strand
at least 12 men on base as a team last game.
team = Phillies and date>=20130509 and
po:TLOB>=12 and o:team!=Mets
STARTER TREND
STR019
Cole Hamels has produced a team record of 11-0 (+$1,200)
since July 2010 vs a team that has won at least their last
three games and by more than a run last game.
starter=Cole Hamels and 3<=o:streak and
date>=20100701 and op:margin>1
PITTSBURGH PIRATES
TREND ID
TREND DESCRIPTIONS
SDQL TEXT
PIT001
The Pirates are 0-22 (+$2,210) since August 2005 in the last
game of a road series coming off a 5+ run loss where their
starter faced 10+ batters and had a WHIP of more than 1.50.
team=Pirates and 20050801<=date and 10>=total>=7.7 and A and p:margin<=-5 and LGS and
p:SWHIP>1.5 and p:SHF>=10
PIT002
The Pirates are 13-0 (+$2,075) since September 2008 as a
130+ home dog when they are off a loss which they never
led and had more than three times as many hits as runs.
team=Pirates and 20080901<=date and H and
line>=130 and p:hits*1.0/p:runs*1.0>3 and
p:BL=0
PIT003
The Pirates are 12-0 (+$1,200) in database history as a
140+ favorite after a one run loss where they scored no
more than five runs and it is not the last game of a series.
team=Pirates and line<=-140 and p:margin=-1
and SG!=SGS and p:runs<=5
PIT004
The Pirates are 0-9 (+$900) since 2012 as a road dog after
a loss at home.
team=Pirates and AD and p:HL and season>=2012
PIT005
The Pirates are 0-9 OU since August 2012 after forcing their
opponent to strand at least 13 runners as a team last game.
team = Pirates and date>=20120801 and
po:TLOB>= 13
STARTER TREND
STR020
Vance Worley has produced a team record of 10-0 (+$1,000)
as a favorite following a start where he allowed four or
fewer hits.
24 • KillerSports.com
starter= Vance Worley and date>=20110601 and
s:SHA<=4
KILLERSPORTS.COM MLB BONUS STARTER TRENDS
BONUS STARTER TRENDS
TREND ID
TREND DESCRIPTIONS
SDQL TEXT
BON016
Zack Greinke has produced a team record of 26-0 (+$2,600)
since 2011 as a home favorite of more than -140, if they
are on a multi-game winning or losing streak.
starter=Zack Greinke and season>=2011 and H
and line<-140 and (streak>1 or streak<-1)
BON017
Max Scherzer has produced a team record of 23-0 (+$2,300)
since 2013 as a favorite of more than -160 and less than
-340 if his team is not on a multi-game losing streak.
starter=Max Scherzer and -340<line<-160 and
streak>=-1 and season>=2013
BON018
Clayton Kershaw produced a team record of 10-0 (+$1,010)
since October 03, 2009 at home after the team lost his last
two starts.
starter=Clayton Kershaw and H and s:L and ss:L
and date>=20091003
BON019
Gerrit Cole has produced a team record of 10-0 (+$1,000)
since September 2013 as a favorite with a total over seven
when his team is not on a multi-game winning streak.
starter=Gerrit Cole and date>=20130901 and F
and total>7 and streak<2
BON020
CJ Wilson has produced a team record of 10-0 (+$1,000)
since May 17, 2014 as a home favorite of at least -108.
starter=CJ Wilson and H and line<=-108 and
date>=20140517
BON021
Edwin Jackson has produced a team record of 0-14
(+$1,768) since July 2009 when not a favorite of -185 or
more, if he did not allow a walk last start.
starter=Edwin Jackson and date>=20090701
and line>-185 and s:SWA=0
BON022
Charlie Morton has produced a team record of 0-12
(+$1,220) since 2010 when the total is at least 8 following
a start where he went less than five innings.
starter=Charlie Morton and season>=2010 and
s:SIP<5 and total>=8
BON023
Doug Fister has produced a team record of 0-11 (+$1,100)
since July 2010 as an underdog of more than 110 in series
opening games prior to September.
starter=Doug Fister and 20100701<=date and
line>110 and month<9 and series game=1
BON024
Juan Nicasio has produced a team record of 0-10 (+$1,040)
since July 7, 2011 in a conference game after having more
strike outs than hits allowed last start.
starter=Juan Nicasio and s:SSO>s:SHA and
conference=o:conference and date>=20110707
BON025
Matt Cain has produced a team record of 0-9 (+$1,126)
when coming off a start where they lost despite him allowing no walks.
starter=Matt Cain and s:SWA=0 and s:L and
date>=20110828
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2015 MLB Bible • 25
TEXAS RANGERS
TREND ID
TREND DESCRIPTIONS
SDQL TEXT
TEX001
The Rangers are 0-18 (+$1,800) since 2005 as a 150-plus
dog when they are seeking immediate revenge for a loss
in which they allowed at least five walks and at least one
home run, as long as they were not a 170-plus dogs.
team=Rangers and season>=2005 and
line>=150 and po:walks>=5 and p:L and SG>1
and po:HR>0 and p:line<170
TEX002
The Rangers are 14-0 (+$1,400) since May 11, 2013 as a
road favorite with a total of at least seven vs a team that
has lost at least their last two games.
team=Rangers and AF and total>=7 and
o:streak<=-2 and date>=20130511
TEX003
The Rangers are 0-13 (+$1,472) since August 2008 when
facing a team which has scored more than 8.5 runs per
game over their past 4 games and at least 8 runs last game.
team=Rangers and date>=20080801 and
oA(runs, N=4)>8.5 and op:runs>=8
TEX004
The Rangers are 11-0 (+$1,100) since 2010 as a favorite
after a 5+ run loss where they scored less than five runs in
the last game of a series yesterday.
team=Rangers and F and p:margin<=-5
and p:runs<5 and SG=1 and rest=0 and season>=2010
TEX005
The Rangers are 0-13 OU since 2013 when the total is between 7.5-9.5 when they went over the total by at least
7.5 runs against this team last game.
team = Rangers and season >= 2013 and p:ou
margin>=7.5 and SG > 1 and 9.5>=total>=7.5
STARTER TREND
STR021
Derek Holland has produced a team record of 14-0
(+$1,430) as road starter when not more than a +125 dog,
following a quality start at home.
starter=Derek Holland and 20110701<=date and
A and s:QS and s:H and line<=125
TAMPA BAY RAYS
TREND ID
TREND DESCRIPTIONS
SDQL TEXT
TB001
The Rays are 0-14 (+$1,400) since July 2004 as between a
+105 and a +140 dog, after a win in a night game where
they drew one or fewer walks.
team=Rays and 20040701<=date and
140>=line>=105 and p:walks<=1 and p:W and
p:NGT
TB002
The Rays are 12-0 (+$1,440) since 2006 following a game
where they had at least three runs on no more than four
hits, if they are not on a 7+ game winning streak.
team=Rays and season>=2006 and p:hits<=4
and p:runs>=3 and streak<7
TB003
The Rays are 0-10 (+$1,075) in database history if they have
five or fewer hits in each of the past three games.
team=Rays and p:hits<=5 and pp:hits<=5 and
ppp:hits<=5
TB004
The Rays are 9-0 (+$980) since 2007 after a win where
they trailed by at least three after six innings and scored
less than 10 runs.
team=Rays and season>=2007 and p:M6<=-3
and p:W and p:runs<10
TB005
The Rays are 0-9 OU since September 2009 when they are
off a walk off loss and it is the last game of a series.
team=Rays and po:WOW and LGS and
date>=20090901
STARTER TREND
STR022
Alex Cobb has produced a team record of 11-0 (+$1,100)
in his career vs a team that has won at least their last two
games but did not win by 5+ last game and scored more
than three runs.
26 • KillerSports.com
starter=Alex Cobb and 2<=o:streak and
op:margin<5 and op:runs>3
BOSTON RED SOX
TREND ID
TREND DESCRIPTIONS
SDQL TEXT
BOS001
The Red Sox are 14-0 (+$1,400) since 2004 as a home favorite of at least -140 in a day game which is not the first of
the series, after a win where they had between 7-9 walks.
team=Red Sox and DAY and H and line<=-140
and 7<=p:walks<=9 and p:W and SG>1
BOS002
The Red Sox are 12-0 (+$1,200) since August 2008 as a
favorite when facing a team which has allowed over 8.2
runs per game the past five games.
team=Red Sox and date>=20080801 and
oA(o:runs, N=5)>8.2 and F
BOS003
The Red Sox are 0-11 (+$1,353) since September 30, 2009 at
home when they are off two losses in which they never led.
team=Red Sox and H and p:BL=0 and p:L and
pp:BL=0 and pp:L and LGS and date>=20090930
BOS004
The Red Sox are 9-0 (+$1,030) since May 27, 2011 as a dog
after a 5+ run win when it is not the first game of a series
and they are not playing the Yankees.
team=Red Sox and D and p:margin>=5 and SG>1
and o:team!=Yankees and date>=20110527
BOS005
The Red Sox are 0-16-1 OU since May 19, 2013 vs a team
that has lost at least their last three games when it is not
the second game of the series.
team=Red Sox and o:streak<=-3 and SG!=2 and
date>=20130519
STARTER TREND
STR023
Justin Masterson has produced a team record of 10-0
(+$1,000) since June 15, 2012 as a favorite of -120 to -145
facing a team he defeated last meeting.
starter=Justin Masterson and -145<=line<=-120
and S:W and date>=20120615
CINCINNATI REDS
TREND ID
TREND DESCRIPTIONS
SDQL TEXT
CIN001
The Reds are 17-0 (+$1,895) since 2009 after a single-digit
win where they had at least 16 hits.
team=Reds and season>=2009 and p:hits>=16
and 9>=p:margin>=1
CIN002
The Reds are 0-13 (+$1,300) since May 17, 2009 as a road
dog after an extra inning loss.
team=Reds and AD and p:XL and
date>=20090517
CIN003
The Reds are 13-0 (+$1,300) since 2011 as a favorite after
a loss in which their starter pitched at least 8 innings.
team=Reds and HF and 8<=p:SIP and p:L and
season>=2011
CIN004
The Reds are 0-12 (+$1,200) since 2005 as a dog of more
than +160 after a loss where they held a multi-run lead.
team=Reds and line>160 and p:BL>1 and p:L
and season>=2005
CIN005
The Reds are 0-7 OU since October 2012 after committing
at least three errors last game.
team = Reds and date>=20121001 and
p:errors>= 3
STARTER TREND
STR024
Mike Leake has produced a team record of 12-0 (+$1,300)
since June 21, 2010 after he had a WHIP of at least 2 his
last start and they lost in his previous start.
starter=Mike Leake and s:SWHIP>=2 and
s:margin<-1 and date>=20100601
2015 MLB Bible • 27
COLORADO ROCKIES
TREND ID
TREND DESCRIPTIONS
SDQL TEXT
COL001
The Rockies are 0-16 (+$1,600) since 2004 as a dog of +125+200 in the second game of a series vs a NL opponent that
has won at least their last four games.
team=Rockies and 200>=line>=125 and
conference=o:conference and 4<=o:streak and
series game=2
COL002
The Rockies are 12-0 (+$1,200) in database history as a
130+ favorite vs a team that has won at least their last
four games.
team=Rockies and line<=-130 and 4<=o:streak
COL003
The Rockies are 11-0 (+$1,120) since August 21, 2011 at
home with a total of at least seven after an extra inning win.
team=Rockies and H and total>=7 and p:XW and
date>=20110821
COL004
The Rockies are 0-10 (+$1,000) since April 27, 2013 on the
road as a dog of more than +120 after a win in which they
allowed 6 or fewer hits and it is not the last game of a series.
team=Rockies and A and line>120 and
po:hits<=6 and p:W and SG!=SGS and
date>=20130427
COL005
The Rockies are 0-15 OU since 2005 with a total of at least
eight, after losing by double-digits last game while scoring
two or fewer runs.
team=Rockies and season>=2005 and
p:margin<=-10 and p:runs<=2 and total>=8
STARTER TREND
STR025
Jorge De La Rosa has produced a team record of 12-0
(+$1,210) since July 25, 2009 when the team is seeking
immediate revenge for a loss as a favorite.
starter=Jorge De La Rosa and p:FL and SG>1 and
date>=20090701
KANSAS CITY ROYALS
TREND ID
TREND DESCRIPTIONS
SDQL TEXT
KC001
The Royals are 0-17 ($+1,700) since August 2006 after a loss
where the teams combined for at least 20 runs.
team = Royals and date>= 20060801 and p:runs
+ po:runs>=20 and p:L
KC002
The Royals are 0-12 ($+1,200) since 2006 when facing a
team which has scored over 10 runs per game the past
three games and allowed no more than five runs last game.
team=Royals and season>=2006 and oA(runs,
N=3)>10 and opo:runs<=5
KC003
The Royals are 9-0 (+$1,085) since June 10, 2014 as a dog
of at least +100 coming off a win as a favorite.
team=Royals and line>=100 and p:FW and
date>=20140601
KC004
The Royals are 0-7 (+$705) since 2005 after a loss where
they scored more than three runs and led by at least two
runs after eight innings.
team=Royals and season>=2005 and p:M8>=2
and p:L and p:runs>=4
KC005
The Royals are 0-8 OU since June 2014 when they allowed
at least 10 runs last game.
team = Royals and date>=20140601 and po:runs
>= 10
STARTER TREND
STR026
Jeremy Guthrie has produced a team record of 0-11
(+$1,100) since May 28, 2008 as a home dog of less than
165 when he lost as an away dog in his last start.
28 • KillerSports.com
starter=Jeremy Guthrie and date>=20080528
and HD and line<165 and s:ADL
DETROIT TIGERS
TREND ID
TREND DESCRIPTIONS
SDQL TEXT
DET001
The Tigers are 0-18 (+$1,800) since July 2007 on the road
as a dog of at least +100 in the regular seaosn, after a loss
vs. this team where they allowed at least 13 hits.
team=Tigers and date>=20070701 and A and
line>=100 and po:hits>=13 and p:L and SG>1
and playoffs=0
DET002
The Tigers are 15-0 (+$1,500) since August 2005 as a road
140+ favorite vs a team that has lost at least their last four
games and scored 1-6 runs last game.
team=Tigers and A and line<=-140 and
o:streak<=-4 and 6>=op:runs>=1 and
date>=20050801
DET003
The Tigers are 0-10 (+1,030) since May 2005 on the road
after a loss as a home dog where they had no more than
eight hits.
team=Tigers and A and p:HDL and p:hits<=8 and
date>=20050506
DET004
The Tigers are 0-9 (+$1,289) since May 2014 as a favorite
after a loss in which they had fewer than five team-left-onbase and were not shutout.
team=Tigers and F and p:TLOB<5 and p:L and
p:runs>0 and date>=20140501
DET005
The Tigers are 0-14 OU since July 2007 as a dog of no more
than +150 after allowing 6+ runs in a win.
team=Tigers and 150>=line>=100 and
6<=po:runs and p:W and date>=20070701
STARTER TREND
STR027
Justin Verlander has produced a team record of 0-13
(+$2,176) since 2013 as a 130+ favorite after recording
more strike outs than hits allowed on the road last game.
starter=Justin Verlander and line<=-130 and
s:SSO>s:SHA and s:A and date>=20130407
MINNESOTA TWINS
TREND ID
TREND DESCRIPTIONS
SDQL TEXT
MIN001
The Twins are 20-0 ($+2,000) since 2004 as a favorite of
more than -110 in the third game of a three-game series in
which they lost the first two and were a favorite last game.
team=Twins and line<-110 and SG=3 and LGS
and p:F and streak<=-2
MIN002
The Twins are 0-12 (+$1,223) since 2011 following a game
where they trailed by at least four runs after the first inning
and score less than seven runs.
team=Twins and p:M1<=-4 and p:runs<7 and
season>=2011
MIN003
The Twins are 0-11 (+$1,100) since May 15, 2008 as a home
dog after a loss by more than a run in which they did not
draw a walk.
team=Twins and HD and p:walks=0 and
p:margin<-1 and date>=20080515
MIN004
The Twins are 7-0 (+$765) in database history when they’ve
won three straight games by at least four runs each.
team=Twins and season>=2008 and
p:margin>=4 and pp:margin>=4 and
ppp:margin>=4
MIN005
The Twins are 11-0 OU since April 25, 2005 as a favorite of
less than -170 when they are off a walk off loss and it did
not come yesterday against a different team.
team=Twins and -170<line<=-110 and po:WOW
and (rest>0 or SG>1) and date>=20050425
STARTER TREND
STR028
Phil Hughes has produced a team record of 19-0 (+$1,900)
since September 17, 2007 as a 200+ favorite pitching on
less than 10 days rest.
starter=Phil Hughes and line<=-200 and starter
rest<10 and date>=20070917
2015 MLB Bible • 29
CHICAGO WHITE SOX
TREND ID
TREND DESCRIPTIONS
SDQL TEXT
CWS001
The White Sox are 0-17 (+$2,015) since July 2006 in the
last game of a series vs an AL opponent when they are off
a win in which they scored in at least five separate innings
and they were not a dog of more than 150.
team=White Sox and p:SII>=5 and LGS and
p:W and p:conference = po:conference and
p:line<150 and 20060701<=date
CWS002
The White Sox are 13-0 (+$1,325) since October 2004 past
the first 15 games of the season when they’ve won two
straight games by at least six runs each.
team=White Sox and date>=20041001
and p:margin>=6 and pp:margin>=6 and
wins+losses>=15
CWS003
The White Sox are 11-0 (+$1,280) since September 2007
if not favored by -200 or more, when they are coming off
a win where they trailed by more than a run after seven
innings.
team=White Sox and date>=20070901 and
line>-140 and p:M7<=-2 and p:W
CWS004
The White Sox are 10-0 (+$1,000) since July 2005 as a road
favorite after a game as a home dog.
team=White Sox and AF and p:HD and
date>=20050725
CWS005
The White Sox are 9-0 OU since May 2014 vs a team that
has won at least their last two games and it is the first
game of a series.
team=White Sox and 2<=o:streak and SG=1 and
date>=20140501
STARTER TREND
STR029
John Danks has produced a team record of 0-8 (+$958) as
a favorite after winning as a road dog of more than +120
last game.
starter=John Danks and F and s:AW and
s:line>120
NEW YORK YANKEES
TREND ID
TREND DESCRIPTIONS
SDQL TEXT
NYY001
The Yankees are 12-0 (+$1,200) since 2005 as a favorite
after a game where their opponent stranded 14+ on base
as a team and had more than three walks.
team=Yankees and F and po:TLOB>=14 and
po:walks>3
NYY002
The Yankees are 0-11 (+$1,100) since September 2013 as
a home dog after a loss.
team=Yankees and HD and p:L and
date>=20130901
NYY003
The Yankees are 0-10 (+$1,415) in database history when
they scored 3+ runs but left 15-17 men on base as a team
last game while striking out more than five times.
team=Yankees and p:runs>=3 and
17>=p:TLOB>=15 and p:strike outs>5
NYY004
The Yankees are 9-0 (+$900) in database history if they’ve
lost by at least six runs in each of the last two games and
did not allow more than 12 points last game.
team=Yankees and p:margin<=-6 and
pp:margin<=-6 and po:runs<=12
NYY005
The Yankees are 0-12 OU since September 2011 when they
are not favored by -150 or more after a one run loss in the
last game of a series where they had more than five hits.
team = Yankees and date >= 20110901 and
p:margin=-1 and SG=1 and line>-150 and
p:hits>5
STARTER TREND
STR030
CC Sabathia has produced a team record of 13-0 (+$1,300)
since May 8, 2009 vs a team that has averaged fewer than
six strikeouts per game.
30 • KillerSports.com
starter=CC Sabathia and oA(SO)<6 and
date>=20090508
KILLERSPORTS.COM MLB BONUS TOTAL TRENDS
BONUS TOTAL TRENDS
TREND ID
TREND DESCRIPTIONS
SDQL TEXT
BON026
The Blue Jays are 16-0 OU since August 28, 2009 as a 140+
dog with a total under 10 after scoring 3 runs or less and
winning.
team=Blue Jays and total<10 and 140<=line and
po:runs<p:runs<=3 and date>=20090821
BON027
The Cardinals are 13-0-1 OU since 2014 when facing a
starter with an ERA under 1.80.
team = Cardinals and season >= 2014 and
o:STDSERA<1.80
BON028
The Phillies are 13-0 OU in since 2004 in day games as a
125+ dog in the first 150 games of the year, when won
while drawing at least five walks last game.
team=Phillies and DAY and line>=125 and
5<=p:walks and p:W and wins+losses<=150
BON029
The Athletics are 10-0 OU since April 17, 2012 as a dog of
at least +105 with a total of over six when they are off two
losses in which they never led.
team=Athletics and line>=105 and total>6 and
p:BL=0 and pp:BL=0 and date>=20120417
BON030
The Pirates are 0-14 OU since September 7, 2009 as a
home 135+ dog and it is the first game of the series.
team=Pirates and H and 135<=line and SG=1
and 20090907<=date
BON031
The Indians are 0-14 OU since April 9, 2006 as a home dog
when they are off two wins in which they never trailed and
it is not the first game of a series.
team=Indians and HD and po:BL=0 and
ppo:BL=0 and SG>1 and date>=20060409
BON032
The Rangers are 0-13 OU since September 20, 2008 with a
total of at least seven against AL teams if they allowed at
least 13 runs last game.
team=Rangers and date>=20080920 and
conference=o:conference and po:runs>=13 and
total>=7
BON033
The Diamondbacks are 0-12 OU since April 30, 2013 when
they had 3+ home runs last game and did not have 3+ home
runs two games ago.
team = Diamondbacks and date>=20130430
and p:home runs >= 3 and pp:home runs<3
BON034
The Royals are 0-11-1 OU since 2007 when they scored at
least 13 runs last game.
team=Royals and season>=2007 and p:runs>=13
BON035
The Mariners are 0-10 OU since August 4, 2013 when they
left at least 11 runners on base as a team and did not lose
by 4+ runs.
team = Mariners and date>=20130804 and
p:TLOB >= 11 and p:margin>-4
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2015 MLB Bible • 31
Daily MLB Newsletter Available
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SDQL text included), a daily schedule chart, and other valuable handicapping information for that day’s
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Today’s MLB Schedule
JULY 26, 2014
Featuring
the SDQL
DAILY MLB TIPSHEET
Presented By SportsBook Breakers
SBB’S SDQL SU TREND OF THE DAY: TODAY FROM SBB:
S
T
PORTSBOOK BREAKERS MLB passed
he Pirates are 11-0 since May 29, 2014 when they are off
Friday. SBB has two solid plays in the
a loss in which they never led and allowed more than two MLB Saturday starting in late afternoon
runs for a net profit of $1165.
action with a 4-STAR Side of the Day and
a 4-STAR Value Side. Get both for just $15 in web debit value or
SDQL TEXT: team=Pirates and p:BL=0 and p:L and po:runs>2 purchase individually.
and date>=20140529
PORTSBOOK BREAKERS has a strong track record of winning
football selections and has its season packages for both NFL
and NCAA now available at Killercappers.com
SBB’S SDQL PITCHER TREND OF THE DAY:
W
hen Clayton Kershaw starts the Dodgers are 10-0 since
July 02, 2013 as a road 140+ favorite after his team won
the last time he started for a net profit of $1000.
S
KILLERSPORTS.COM ACTIVE TRENDS:
W
hen Julio Teheran starts the Braves are 13-1 since May 20,
SDQL TEXT: starter=Clayton Kershaw and A and line<=-140 and
2013 as a favorite after his team lost the last time he started
s:W and date>=20130702
for a net profit of $1170.
MLB BIBLE ACTIVE TREND :
T
he Marlins are 0-12 ($+1,350) since 2010 if their opponent
has allowed at least 11 hits in each of the last three games.
SUBMIT YOUR TRENDS:
K
Away
Home
Time
Away Starter
Home Starter
National
TV
Toronto
N.Y. Yankees
1:05 pm
Hutchison (6-9) - 4.54 ERA
Capuano (1-1) - 4.55 ERA
MLB
Washington
Cincinnati
4:05 pm
Gonzalez (6-5) - 3.74 ERA
Cueto (10-6) - 2.18 ERA
FOX Sports
1
St. Louis
Chi. Cubs
4:05 pm
Miller (7-8) - 4.25 ERA
Arrieta (5-2) - 2.12 ERA
Young (8-6) - 3.22 ERA
Baltimore
Seattle
4:10 pm
Norris (8-6) - 3.78 ERA
Arizona
Philadelphia
7:05 pm
Collmenter (8-5) - 3.64 ERA
Lee (4-5) - 3.67 ERA
Chi. White Sox
Minnesota
7:10 pm
Sale (9-1) - 2.03 ERA
Darnell (0-0) - 0.00 ERA
San Diego
Atlanta
7:10 pm
Despaigne (2-1) - 1.31 ERA
Teheran (9-6) - 2.64 ERA
Cleveland
Kansas City
7:10 pm
McAllister (3-5) - 5.28 ERA
Guthrie (5-9) - 4.56 ERA
Miami
Houston
7:10 pm
Koehler (6-7) - 3.85 ERA
Cosart (9-6) - 4.23 ERA
Boston
Tampa Bay
7:10 pm
Lackey (11-6) - 3.66 ERA
Hellickson (0-0) - 2.08 ERA
N.Y. Mets
Milwaukee
7:10 pm
Niese (5-5) - 3.13 ERA
Peralta (11-6) - 3.58 ERA
Oakland
Texas
8:05 pm
Gray (11-3) - 2.72 ERA
Tepesch (3-6) - 4.87 ERA
Pittsburgh
Colorado
8:10 pm
Locke (2-1) - 3.05 ERA
Matzek (1-4) - 4.91 ERA
L.A. Dodgers
San Francisco
9:05 pm
Kershaw (11-2) - 1.92 ERA
Vogelsong (5-7) - 3.99 ERA
Detroit
L.A. Angels
9:05 pm
Verlander (9-8) - 4.84 ERA
Shoemaker (7-3) - 4.54 ERA
illersports.com is a collected effort of smart, savvy individuals
looking to capitalize in the world of sports and those efforts
SDQL TEXT: team=Marlins and season>=2010 and opo:hits>=11
include you! This is a group effort and in this section we want
and oppo:hits>=11 and opppo:hits>=11
you to team up and provide each other with the best information possible! Submit your best and most interesting trends to
kyle@killersports.com and when they are active, will will publish
them in this section and credit you as the mastermind behind a
great MLB find.
he Orioles are 0-9 since August 10, 2013 after an extra inning
win and it is not the first game of a series for a net profit of USER Submitted: NONE
$1095 when playing against.
FOX Sports
1
MLB
Regional
MLB
Regional
SBB’S SDQL CHOICE TREND:
T
SportsBook Breakers
selections are found daily at
www.killercappers.com
SDQL TEXT: team=Orioles and p:XW and SG!=1 and
date>=20130810
2 | www.KillerSports.com
Note: It is not SportsBook Breakers recommendation to make plays based solely on one trend (our selections at
killercappers.com don’t). Weigh these trends along with other factors accordingly.
COPYRIGHT NOTICE All the material in this publication is copyrighted by the United States Government. No part of this periodical may be reproduced in any form by any means, electronic or mechanical, including photocopying, and electronic recording
without written consent from Killer Sports Publishing. All information is believed to be accurate as of March 2015. If the reader
has any questions or comments about this newsletter, please write us at:
Killer Sports Publishing
or e-mail us at:
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support@KillerSports.com
32 • KillerSports.com