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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 on,SDB's sample ml against,SDB's sample ml on
$ ROI wins losses % link
560 39.4 6 8 42.9 The Mets are 6-8 AGAINST since Sep 19, 2016 at home
500 72.8 0 5 0.0 The Mets are 0-5 AGAINST since Sep 12, 2016 as a dog
978 29.8 18 9 66.7 The Mets are 18-9 ON since Aug 20, 2016 on the road
767 26.5 15 6 71.4 The Mets are 15-6 ON since Jul 15, 2016 as a road favorite
504 45.8 7 4 63.6 The Mets are 7-4 ON since Aug 20, 2016 as a road dog

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).