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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 against
$ ROI wins losses % link
2783 9.5 70 122 36.5 The Phillies are 70-122 AGAINST since May 20, 2016
2685 10.3 52 106 32.9 The Phillies are 52-106 AGAINST since May 04, 2016 as a dog
2224 28.0 10 37 21.3 The Phillies are 10-37 AGAINST since Sep 09, 2016 on the road
2117 27.8 9 35 20.5 The Phillies are 9-35 AGAINST since Sep 09, 2016 as a road dog
669 22.9 7 16 30.4 The Phillies are 7-16 AGAINST since May 05, 2017 at home

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).