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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 ou against,SDB's sample ou on,SDB's sample ou against,SDB's sample ou on
$ ROI wins losses % link
500 50.9 2 7 22.2 The Athletics are 2-7 AGAINST since Jun 10, 2016 as a road favorite
1225 16.9 38 24 61.3 The Athletics are 38-24-4 ON since Apr 23, 2017 at home
885 64.1 11 2 84.6 The Athletics are 11-2 ON since Aug 12, 2017 as a home dog
750 33.0 14 6 70.0 The Athletics are 14-6-1 ON since Aug 23, 2017 as a 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).