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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 ou against,SDB's sample ou on,SDB's sample ou against,SDB's sample ou on
$ ROI wins losses % link
675 25.5 8 15 34.8 The Brewers are 8-15-1 AGAINST since Jun 18, 2017
585 43.3 3 9 25.0 The Brewers are 3-9 AGAINST since Jun 21, 2017 as a favorite
585 51.3 2 8 20.0 The Brewers are 2-8 AGAINST since Jun 21, 2017 as a home favorite
585 37.5 4 10 28.6 The Brewers are 4-10 AGAINST since Jun 18, 2017 at home
2088 14.3 75 50 60.0 The Brewers are 75-50-9 ON since May 18, 2011 as a road 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).