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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
650 40.5 6 10 37.5 The Mariners are 6-10 against since Aug 21, 2016 as a home favorite
504 23.2 9 12 42.9 The Mariners are 9-12 against since Aug 21, 2016 at home
3037 14.6 103 58 64.0 The Mariners are 103-58 on since Apr 11, 2009 as a road favorite
1001 45.3 15 7 68.2 The Mariners are 15-7 on since Sep 14, 2015 as a home dog
789 50.9 10 2 83.3 The Mariners are 10-2 on since Sep 09, 2016 on the road

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).