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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 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
1788 26.2 30 38 44.1 The Coyotes are 30-38 AGAINST since Nov 21, 2013 as a favorite
1393 24.3 26 31 45.6 The Coyotes are 26-31 AGAINST since Nov 21, 2013 as a home favorite
806 40.3 7 13 35.0 The Coyotes are 7-13 AGAINST since Dec 01, 2011 as a road favorite
766 109.1 6 1 85.7 The Coyotes are 6-1 ON since Feb 08, 2018 as a dog
658 81.2 6 2 75.0 The Coyotes are 6-2 ON since Feb 08, 2018

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).