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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
868 20.6 16 22 42.1 The Angels are 16-22 AGAINST since Aug 21, 2017
601 45.7 3 8 27.3 The Angels are 3-8 AGAINST since Sep 06, 2017 on the road
549 78.4 2 5 28.6 The Angels are 2-5 AGAINST since Sep 17, 2017 as a favorite
506 16.9 14 16 46.7 The Angels are 14-16 AGAINST since Sep 14, 2015 as a road favorite
1408 34.3 22 19 53.7 The Angels are 22-19 ON since Jun 06, 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).