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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 guest's web all active on filter on
Trends from SDB's sample ml against,SDB's sample ml against
$ ROI wins losses % link
3648 18.5 83 99 45.6 The Dodgers are 83-99 AGAINST since Sep 16, 2014 on the road
2599 10.9 67 113 37.2 The Dodgers are 67-113 AGAINST since Jun 13, 2012 as a dog
2353 15.3 39 75 34.2 The Dodgers are 39-75 AGAINST since Sep 09, 2012 as a road dog
1240 28.2 21 23 47.7 The Dodgers are 21-23 AGAINST since Jun 25, 2016 as a road favorite
972 34.4 10 15 40.0 The Dodgers are 10-15 AGAINST since Sep 27, 2016

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).