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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 against
$ ROI wins losses % link
2718 10.8 101 117 46.3 The Canucks are 101-117 AGAINST since Apr 11, 2012 at home
2252 30.7 31 42 42.5 The Canucks are 31-42 AGAINST since Dec 06, 2014 as a favorite
2142 17.0 63 63 50.0 The Canucks are 63-63 AGAINST since Apr 11, 2012 as a home favorite
703 27.0 4 13 23.5 The Canucks are 4-13 AGAINST since Dec 07, 2017
692 62.0 3 8 27.3 The Canucks are 3-8 AGAINST since Feb 26, 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).