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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 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
3430 13.0 0.1 137 127 51.9 The Senators are 137-127 AGAINST since Nov 08, 2007 as a home favorite
1103 29.8 -0.3 16 21 43.2 The Senators are 16-21 AGAINST since Nov 05, 2016 as a favorite
551 26.3 -0.9 4 11 26.7 The Senators are 4-11 AGAINST since Feb 22, 2018 at home
530 29.9 0.8 10 4 71.4 The Senators are 10-4 ON since Apr 09, 2015 as a road 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).