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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 ou against,SDB's sample ou on,SDB's sample ou against,SDB's sample ou on
$ ROI wins losses % link
1194 16.2 25 39 39.1 The Pirates are 25-39-3 AGAINST since May 28, 2016 on the road
780 59.8 2 10 16.7 The Pirates are 2-10 AGAINST since Sep 30, 2016 as a road dog
680 48.4 3 10 23.1 The Pirates are 3-10 AGAINST since Sep 30, 2016 as a dog
2657 18.8 78 47 62.4 The Pirates are 78-47-2 ON since Jul 10, 2015 at home
1448 41.2 23 8 74.2 The Pirates are 23-8-1 ON since Jun 17, 2014 as a home 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).