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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 SDB's sample su 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 Margin wins losses % link
1342 40.7 -1.1 8 19 29.6 The Angels are 8-19 AGAINST since May 27, 2018 on the road
1216 19.8 -1.5 13 30 30.2 The Angels are 13-30 AGAINST since Aug 27, 2017 as a dog
870 53.5 -2.9 1 10 9.1 The Angels are 1-10 AGAINST since Jun 10, 2018 as a road dog
562 25.2 -1.8 5 12 29.4 The Angels are 5-12 AGAINST since Aug 27, 2017 as a home dog
563 19.8 1.3 13 6 68.4 The Angels are 13-6 ON since May 20, 2018 at home

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).