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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 guest's web all active on filter on
Trends from SDB's sample ml on,SDB's sample ml on
$ ROI Margin wins losses % link
861 15.2 1.2 25 11 69.4 The Blue Jays are 25-11 ON since Sep 24, 2017 as a home favorite
636 34.7 0.2 10 6 62.5 The Blue Jays are 10-6 ON since Aug 12, 2018 at home
508 65.4 0.1 5 2 71.4 The Blue Jays are 5-2 ON since Sep 15, 2018

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).