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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 Margin wins losses % link
1040 32.4 -1.5 8 19 29.6 The Tigers are 8-19-2 AGAINST since Aug 01, 2017 on the road
940 32.6 -1.6 7 17 29.2 The Tigers are 7-17-2 AGAINST since Aug 01, 2017 as a road dog
2018 20.6 1.6 53 30 63.9 The Tigers are 53-30-6 ON since Apr 26, 2015 as a home dog
500 63.3 5.5 6 1 85.7 The Tigers are 6-1 ON since Apr 12, 2018 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).