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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 on,SDB's sample ml against,SDB's sample ml on
$ ROI wins losses % link
947 11.4 39 44 47.0 The Orioles are 39-44 against since Sep 23, 2012 as a road favorite
880 31.4 16 12 57.1 The Orioles are 16-12 on since Jul 05, 2016 as a road dog
832 31.5 15 10 60.0 The Orioles are 15-10 on since Aug 11, 2016 on the road
754 18.8 21 19 52.5 The Orioles are 21-19 on since Jul 05, 2016 as a dog
608 12.9 22 18 55.0 The Orioles are 22-18 on since Aug 22, 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).