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NHL Trends SDB Home    NHL Trends    NHL Query
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 ou against,SDB's sample ou on,SDB's sample ou against,SDB's sample ou on
$ ROI Margin wins losses % link
2870 15.3 -0.0 78 97 44.6 The Jets are 78-97-12 AGAINST since Mar 07, 2013 as a road dog
2410 7.7 0.1 142 151 48.5 The Jets are 142-151-20 AGAINST since Oct 15, 2011 as a dog
1070 11.8 0.2 41 47 46.6 The Jets are 41-47-3 AGAINST since Oct 26, 2017
800 57.1 -0.2 3 10 23.1 The Jets are 3-10-1 AGAINST since Mar 20, 2018 at home
800 57.1 -0.2 3 10 23.1 The Jets are 3-10-1 AGAINST since Mar 20, 2018 as a home favorite
680 61.8 -0.4 2 8 20.0 The Jets are 2-8-1 AGAINST since Apr 05, 2018 as a favorite
1810 34.2 0.5 31 16 66.0 The Jets are 31-16-6 ON since Oct 18, 2013 as a home dog
820 48.2 1.3 12 5 70.6 The Jets are 12-5 ON since Jan 13, 2017 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).