Winning picks from SDQL masters.
S p o r t s D a t a b a s e . c o m
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Include trends from SDB's sample ml against SDB's sample ml on SDB's sample ou against SDB's sample ou on guest's web all active on filter on
Trends from SDB's sample ml against,SDB's sample ml on,SDB's sample ml against,SDB's sample ml on
$ ROI Margin wins losses % link
2206 50.1 -0.2 16 28 36.4 The Diamondbacks are 16-28 AGAINST since Jun 16, 2018 as a home favorite
2007 22.0 0.5 43 48 47.3 The Diamondbacks are 43-48 AGAINST since May 02, 2018 as a favorite
693 33.0 0.6 12 9 57.1 The Diamondbacks are 12-9 ON since Sep 19, 2018 as a dog
500 55.6 1.7 6 3 66.7 The Diamondbacks are 6-3 ON since Apr 01, 2019 as a road dog
500 55.6 1.7 6 3 66.7 The Diamondbacks are 6-3 ON since Apr 01, 2019 on the road

Trend Parameters: active, english, invested, losses, margin, profit, pushes, sdql, start, team, wins

How To Use the Trends Page:
Use the Pythonic Query Language to explore a database of trends. The full PyQL format is: parameters @ conditions. More typical use just specifies the condition and takes a default output.

To see all trends with an average margin of at least 2 use the PyQL condition: margin > 2.

To see all perfect trends use the PyQL: wins * losses = 0
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Content for this site is generated using the Sports Data Query Language (SDQL).