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SDQL Trend Mart
the sdql makes the market
Buy sports trends with your web debt account
Use the trends page to view your trends. learn more
Learn about buying and selling sports trends.
  Charlies Hustle   learn more
MLB-U010, (2018-TD, 224-63 +11,091 SU, 19.7% RoI)Um (...more)
  
  
MLB-022, (2017-TD 193-163, +14% RoI - avg odds +107 )    
MLB-023, (2015-TD 208-142 (RL), +14% RoI +$6.495)    
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  DatabaseSportsPicks1   learn more
MLB15: UNDER: 899-706-53 (56%) for (+126.6 Units) a (...more)
  
  
MLB16: SU: 418-367 (53.2%) for (+95.8 Units) and ( (...more)
  
  
MLB17: SU: 719-248 (74.4%) for (+171.1 Units) and (...more)
  
  
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  MrEast   learn more
MLB 235-361-33 O/U lots of plays 14.7 ROI    
MLB 4-50 team trend     
MLB 14-83 and +25.8% ROI    
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  SBB   learn more
MLB: 415-129 SU Pitcher System (+15.6% ROI, +$16,5 (...more)
  
  
  Pick60   learn more
MLB 006: 1,300+ plays, Consistent Returns    
MLB 012: Stable Starters, 90% Winning Season (...more)
  
  
  StreakCoolers   learn more
#Easy8 MLB Trend {Team Specific} - ML: 97-74 (...more)
  
  
MLB Daytime Dogs - RL: 60-34 (63.8%); O/U 57 (...more)
  
  
FREE MLB TREND - Follow @StreakCoolers on Twitter    
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  Auz3000   learn more
NFL-ATS (59.2% ATS Record Since 2017)    
NBA-O/U 144-96-7 (3.76, 60%) since 2015     
NFL 47-23-3 ATS (5.26, 67.1% since 2015). 66-7-0 (1 (...more)
  
  
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  PCG   learn more
ALL NFL SYSTEMS (Full Access)    
ALL NCAAF SYSTEMS (Full Access)    
ALL MLB SYSTEMS (Full Access)    
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  Cajun   learn more
ALL ACTIVE NCAAFB SYSTEMS for a week    
ALL ACTIVE NFL SYSTEMS for a week    
ALL ACTIVE MLB SYSTEMS for a week     
  KS   learn more
Daily All MLB and NBA KillerSports Actives    
One Week of All MLB and NBA KillerSports Actives    
One Month of All MLB and NBA KillerSports Actives    
  AWang_HTX   learn more
  Rooktiss   learn more
  John Ryan Sports   learn more
  SDQG   learn more
  systemofawin   learn less
Hello...you can find me @systemofawin on twitter.

After spending more than 15 years in corporate America, I decided to apply my experience in performance measurement to sports and then found a gold mine when I discovered SDQL. My background has been primarily spent in training and performance development, that includes measurement of growth and analysis of our programs.

The systems and queries that I like to utilize rest on "keeping it simple". The possibilities of SDQL are endless, there are many ways to be successful, but I prefer a simplistic approach to the process. It allows me to better understand/explain the query and I feel it can be proof to those new to SDQL that even simple queries can be very successful.

 

 


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