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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
1190 7.2 42 69 37.8 The Marlins are 42-69 AGAINST since Sep 02, 2016 as a dog
853 39.2 3 12 20.0 The Marlins are 3-12 AGAINST since Aug 23, 2017 on the road
675 21.5 5 14 26.3 The Marlins are 5-14 AGAINST since Aug 04, 2017 as a road dog
503 45.7 4 7 36.4 The Marlins are 4-7 AGAINST since Aug 31, 2017 as a favorite
1345 30.3 24 7 77.4 The Marlins are 24-7 ON since May 14, 2017 as a home 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).