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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
1361 32.0 6 22 21.4 The Reds are 6-22 AGAINST since Apr 24, 2017 on the road
1302 24.3 11 26 29.7 The Reds are 11-26 AGAINST since May 12, 2017
1261 32.0 5 20 20.0 The Reds are 5-20 AGAINST since Apr 25, 2017 as a road dog
1034 22.8 8 21 27.6 The Reds are 8-21 AGAINST since May 12, 2017 as a dog
620 41.0 10 5 66.7 The Reds are 10-5 ON since Apr 23, 2017 as a home 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).