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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 wins losses % link
627 24.2 10 14 41.7 The Angels are 10-14 AGAINST since Aug 05, 2017 at home
626 18.0 13 18 41.9 The Angels are 13-18 AGAINST since Aug 21, 2017
623 42.6 2 9 18.2 The Angels are 2-9 AGAINST since Aug 27, 2017 as a dog
500 77.2 0 5 0.0 The Angels are 0-5 AGAINST since Aug 27, 2017 as a home dog
1408 34.3 22 19 53.7 The Angels are 22-19 ON since Jun 06, 2017 as a road 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).