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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 against
$ ROI wins losses % link
1467 14.7 31 48 39.2 The Flyers are 31-48 AGAINST since Dec 17, 2016
1058 87.3 2 10 16.7 The Flyers are 2-10 AGAINST since Oct 19, 2017 at home
1028 68.4 4 11 26.7 The Flyers are 4-11 AGAINST since Apr 04, 2017 as a favorite
958 86.9 2 9 18.2 The Flyers are 2-9 AGAINST since Oct 19, 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).