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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 ou against,SDB's sample ou on,SDB's sample ou against,SDB's sample ou on
$ ROI wins losses % link
545 20.5 9 15 37.5 The Mets are 9-15 AGAINST since Jun 25, 2016 as a road favorite
880 48.9 12 3 80.0 The Mets are 12-3-1 ON since Aug 06, 2016 as a road dog
665 30.4 12 5 70.6 The Mets are 12-5-3 ON since Sep 19, 2016 at home
575 30.7 10 4 71.4 The Mets are 10-4-3 ON since Apr 06, 2017
565 30.2 10 4 71.4 The Mets are 10-4-3 ON since Sep 19, 2016 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).