SDQL Baccalaureates


JRTheGambler believes that profitable sports betting is achieved at the intersection of psychological, statistical, and situational analyses. He uses the SDQL to find trends and data supporting these three pillars. He tweets at @JRTheGambler.


@AKing4Life focuses on the use of SDQL to find league-wide queries with consistent ROI over multiple years in the continuously evolving sports betting market.


@postronabets is a data scientist, sports enthusiast, and sometimes +ev bettor that loves using sports analytics and the SDQL.

Ralph Michaels

Ralph is the founder of California Sports and tweets SDQL under @CalSportsLV.

Charlie’s Hustle

Charlie’s Hustle tweets SDQL in multiple sports under the handle @CharliesHustle2.

Jason Ripps

Jason, aka ‘Jay1’, is a frequent SDQL contributor to many fine publications.

Mr Pickem

Mr Pickem loves numbers and tweets SDQL under the handle @mrpickem.

Dwayne Bryant

Dwayne Bryant is the owner/handicapper of You can find DB on Twitter @DB_BettingPicks.


Dean is a firm believer in empirical evidence and loves applying data from the SDQL to pick his spots. Tweets under the handle @deanerr.

Devon Pack

Tech geek and diehard sports fan who looks for the logic to match the data. Tweets SDQL under the handle @The5Pack

Dr. Neil Laccone

Dr Laccone is a technical handicapper and helps maintain the sports database. He tweets under @NL3290

John Ryan

Founder of John Ryan Sports, who loves to use the SDQL to generate money-making database queries. You can find John on his Twitter handle @JohnRyanSports1

Juannell Jefferson

Mr Jefferson is a CPA from Chicago and graduate of an SDQL seminar held in his hometown. He tweets under @juannellcpa

Jim Dandy

The SDQL has helped @Jim_Dandy succeed in capping hockey and baseball over the past several years.


$treakCooler has been finding and following SDQL trends since 2013. Free Picks available on Twitter under the handle @StreakCoolers.

Database Sports Picks

Database Sports Picks is always on the daily search for winning trends in MLB, NHL, NBA and NFL. Tweets SDQL info frequently @DatabasePicks.

Joe Oxford

Joe Oxford loves using the data the SDQL generates for his daily handicapping. Joe tweets @ousooner.

The Rooktiss

The Rooktiss combines his professional sports background and his degree in Psychology with the SDQL to formulate spot and box systems for high ROI plays. Feel free to follow him on Twitter at @Rooktiss.

Mr Watts

Your average sports fan with an above-average craving for data interrogation. Found on Twitter @PHatwatts.


A data analyst who has been sports betting since 2007. He started using the SDQL in 2012 to increase his ROI and win percentage. Follow him on Twitter @you_capper!

The Real Degenerate

TheRealDegen’s love for analytics and professional sports combine into a passion for sports betting. He tweets daily picks and SDQL under the handle @TheRealDegen

Nate Bianco

Nate is an avid sports fan who uses the SDQL daily to discover trends in all sports. Tweets under the handle @SDQLKid

A. E. Gupko

a.k.a “Roughing the Picker,” Tweets under @rewgupko and enjoys the challenge of beating the linesmakers with the SDQL. His favorite league to exploit lines is the NFL and loves playing totals in baseball and basketball.

M. C. Betts

M. C. Betts tweets under the name @808Betts. He love stats and data analytics in all sports and never makes a betting decision without the SDQL.

System of a Win

System of a Win uses SDQL daily for analysis and digging up profitable trends. An educator by trade, he appreciates being able to help others become successful learning and using SDQL. He tweets under @systemofawin.


Ex-Finance received his Ph.D. in nonlinear physics from the University of Illinois, where his focus was making predictions on high dimensional systems. After spending 20 years honing his prediction expertise in the finance world, he is now applying his skills to Sports Handicapping using the Sports Data Query Language. Twitter handle is @Ex__Finance.

A. Wang

  1. Wang is a CPA that loves utilizing SQDL to bolster his handicapping skills and enhance sports betting from an entertaining hobby into a profitable investment. His Twitter handle is @awang_htx.


EVwagers is an IT professional by day and loves using the SDQL to discover new trends to share with the people and help everyone win. Twitter Handle: @evwagers.

Roscoe Pershall

Roscoe Pershall is an SDQL hobbyist with a Master of Applied Statistics from Penn State. He enjoys collaborating with others to refine SDQL queries. His Twitter handle is @AskRoscoe.


uno uses SDQL to gain profitable edges on bookmakers in NBA, MLB, and NFL mainly. Find his daily posts @ihateyourbookie on Twitter.

Joker Bets

Joker Bets is a handicapper who strongly believes betting can be profitable if taken seriously. You can find his picks on twitter @RealJokerBets


The SDQL is one of the primary tools juicebox uses to handicap sports across the leagues. Finding a profitable query is like finding a gold mine, it’s available to you through the SDQL. Follow on twitter at @juicebox_187


JB is a sports junkie that enjoys finding long-term profitable trends and busting commentator myths using SDQL. Find him on twitter at @JB21_SL


JR is an avid user of SDQL in his search for +EV plays across major sports leagues with a focus on MLB. Twitter handle is @JRHennyGod69

Shayne Trail

Shayne Trail is a Penn State Smeal College of Business graduate. His main focus is to provide guidance on making sound sports betting investments. In doing so, Shayne has created the @HallofFameFund where he has brought together other certified SDQL Bachelors to construct historically profitable trends to outperform the market.


SportsBetTrends is an iOS engineer who loves when data analytics meets sports. He is developing an iOS application that will allow users to do comprehensive historical betting research by clicking a few buttons. Keep on eye out on twitter @SportsBetTrends.

Brandon C.

One of the fellow hispanic SDQL enthusiasts, Brandon mixes his degree in Communication and Digital Media with his knowledge on SDQL to identify value plays based on Media Press Influence in the public eye. Find him on Twitter as @brandonn__21.


Founder of Biz Sports, I have developed hundreds of systems using the SDQL language, which assist me in finding profitable wagering situations. A sports fan of over 50+ years, and a serious handicapper for the past 15 years, I use my years of knowledge to find profitable wagering situations. I can be followed on Twitter @BizSportsVip


Everyone’s favorite Uncle! @UncleStrap is an avid sportbettor in MLB, NFL, NBA and NHL. He uses SDQL to identify historically profitable trends and shares those plays on twitter.

Anmol Bajaj

Using SDQL find multi year, big sample size trends to handicap sports and develop dashboards/websites that help with sports analysis. Focus is on NBA, MLB and NFL. Twitter handle is @anmolbajaj2806.

Mr. Ludomaniac

Mr. Ludomaniac is an actuarial science major who uses SDQL to understand the narrative and numbers of trends and hypotheses in sports betting. Tweets under @MrLudomaniac.

Owen Connolly

Owen has his masters in accounting and is passionate about data analytics. He uses SDQL to target profitable trends and angles to support his handicapping. Owen tweets under @oc2point0.

Patrick Gerhart

Patrick Gerhart: Co-founder of @YBBSportsData and frequent SDQLer studying and documenting long term profitable betting angles.


Tomcat uses the SDQL to find profitable trends and angles, primarily in MLB. Find Tomcat on twitter @Tomcat_Trends rapid firing random stats and trends that he finds interesting or helpful.


Griff combines SDQL research with various sportsbook promotions to find highly profitable +EV plays. He tweets at @boostmerchant.


Leverages the power of SDQL and the psychological nature of sports to formulate precise queries and extract relevant data. Morrissey has enabled himself to identify key performance indicators, evaluate player and team performances, and predict game outcomes with impressive accuracy. Morrissey tweets under @MorrisseyYBB.

Jackpot Joe

Architect by day, avid sports fan by night, Jackpot Joe is an analytical capper who studies sports data, creates computer betting models, and uses SDQL to gain an advantage on the books. Follow on Twitter @JackpotJoePicks.