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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 Margin wins losses % link
2270 49.2 -1.0 16 30 34.8 The Giants are 16-30 AGAINST since Jul 02, 2016 as a road favorite
1046 16.8 1.3 31 15 67.4 The Giants are 31-15 ON since Jul 25, 2017 as a home favorite
574 47.8 0.8 7 5 58.3 The Giants are 7-5 ON since May 30, 2018 as a road dog
503 22.9 0.2 11 5 68.8 The Giants are 11-5 ON since Jun 19, 2018 as a favorite

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).