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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
2116 25.5 40 43 48.2 The Giants are 40-43 AGAINST since Jun 25, 2016 as a favorite
1997 10.2 68 90 43.0 The Giants are 68-90 AGAINST since Jun 21, 2015 on the road
1321 48.9 10 17 37.0 The Giants are 10-17 AGAINST since Jul 02, 2016 as a road favorite
508 27.3 10 7 58.8 The Giants are 10-7 ON since May 10, 2017

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).