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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
529 37.9 2 8 20.0 The Brewers are 2-8 AGAINST since May 24, 2017 as a home dog
520 45.8 2 7 22.2 The Brewers are 2-7 AGAINST since Jul 16, 2017
1285 10.0 61 38 61.6 The Brewers are 61-38 ON since Jun 23, 2015 as a favorite
1062 39.0 16 4 80.0 The Brewers are 16-4 ON since May 10, 2017 as a home favorite
808 16.4 25 16 61.0 The Brewers are 25-16 ON since Apr 24, 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).