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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
1099 42.2 9 17 34.6 The Jets are 9-17 AGAINST since Dec 11, 2014 as a road favorite
764 45.1 3 11 21.4 The Jets are 3-11 AGAINST since Nov 25, 2017 on the road
1752 49.1 22 4 84.6 The Jets are 22-4 ON since Mar 19, 2017 at home
1736 12.2 65 37 63.7 The Jets are 65-37 ON since Oct 21, 2014 as a home favorite
1212 29.0 22 8 73.3 The Jets are 22-8 ON since Mar 21, 2017 as a 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).