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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 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 Margin wins losses % link
630 31.7 -1.6 3 10 23.1 The Flyers are 3-10 AGAINST since Mar 14, 2019.
691 23.8 0.6 16 7 69.6 The Flyers are 16-7 ON since Apr 10, 2016 as a road favorite.
503 17.7 0.4 13 6 68.4 The Flyers are 13-6 ON since Dec 18, 2018 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).