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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
3393 11.2 84 144 36.8 The Diamondbacks are 84-144 against since May 04, 2008 as a home dog
1081 16.0 13 30 30.2 The Diamondbacks are 13-30 against since Jun 25, 2016 on the road
561 16.6 5 14 26.3 The Diamondbacks are 5-14 against since Aug 12, 2016 as a road dog
728 59.9 8 2 80.0 The Diamondbacks are 8-2 on since Sep 12, 2016 at home
694 36.9 11 3 78.6 The Diamondbacks are 11-3 on since Aug 07, 2016 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).