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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
785 53.8 2 10 16.7 The Reds are 2-10-1 AGAINST since Jun 30, 2017
685 50.4 2 9 18.2 The Reds are 2-9-1 AGAINST since Jul 01, 2017 as a dog
600 75.0 0 6 0.0 The Reds are 0-6-1 AGAINST since Jul 03, 2017 on the road
600 75.0 0 6 0.0 The Reds are 0-6-1 AGAINST since Jul 03, 2017 as a road dog
560 30.5 11 5 68.8 The Reds are 11-5-1 ON since May 09, 2015 as a road 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).