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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 guest's web all active on filter on
Trends from SDB's sample ml against,SDB's sample ml against
$ ROI Margin wins losses % link
2794 19.4 -1.8 26 64 28.9 The Orioles are 26-64 AGAINST since Aug 16, 2016 as a home dog
1916 18.2 -0.0 46 59 43.8 The Orioles are 46-59 AGAINST since Sep 23, 2012 as a road favorite
1078 33.7 -1.4 12 20 37.5 The Orioles are 12-20 AGAINST since Aug 31, 2017 as a favorite
523 20.9 -1.0 11 14 44.0 The Orioles are 11-14 AGAINST since Aug 31, 2017 as a home 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).