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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 SDB's sample su 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 wins losses % link
1385 29.4 18 29 38.3 The Rays are 18-29 AGAINST since Jul 08, 2015 as a road favorite
751 31.2 14 10 58.3 The Rays are 14-10 ON since Apr 22, 2017 as a dog
658 49.8 8 1 88.9 The Rays are 8-1 ON since Jun 07, 2017 as a favorite
591 35.8 9 2 81.8 The Rays are 9-2 ON since May 24, 2017 as a home favorite
530 26.4 11 9 55.0 The Rays are 11-9 ON since Apr 25, 2017 as a road dog

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).