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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 against,SDB's sample ml on,SDB's sample ml against,SDB's sample ml on
$ ROI Margin wins losses % link
1024 24.2 -2.2 8 22 26.7 The Blue Jays are 8-22 AGAINST since Sep 23, 2017 as a home dog
582 25.5 -1.8 7 12 36.8 The Blue Jays are 7-12 AGAINST since Jul 01, 2018 at home
671 13.3 1.2 22 10 68.8 The Blue Jays are 22-10 ON since Sep 24, 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).