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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
1812 18.6 -0.8 32 48 40.0 The Rangers are 32-48 AGAINST since May 29, 2017 at home
1355 39.0 -3.7 4 19 17.4 The Rangers are 4-19 AGAINST since Sep 09, 2017 as a home dog
1028 23.3 0.3 20 24 45.5 The Rangers are 20-24 AGAINST since May 29, 2017 as a favorite
6339 9.2 -0.3 318 373 46.0 The Rangers are 318-373 ON since Sep 23, 2005 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).