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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 against
$ ROI wins losses % link
9180 11.2 346 398 46.5 The Coyotes are 346-398-72 AGAINST since Apr 05, 2007
7440 12.1 260 304 46.1 The Coyotes are 260-304-51 AGAINST since Nov 22, 2006 as a dog
2990 7.9 167 179 48.3 The Coyotes are 167-179-34 AGAINST since Feb 19, 2008 at home
2110 14.8 57 71 44.5 The Coyotes are 57-71-15 AGAINST since Feb 05, 2011 as a favorite
1780 11.0 68 78 46.6 The Coyotes are 68-78-16 AGAINST since Feb 16, 2009 as a home dog
1460 34.8 14 26 35.0 The Coyotes are 14-26-2 AGAINST since Jan 16, 2014 as a home favorite
830 37.7 6 13 31.6 The Coyotes are 6-13-3 AGAINST since Mar 17, 2011 as a road favorite
560 80.0 1 6 14.3 The Coyotes are 1-6 AGAINST since Mar 20, 2017 on the road
560 80.0 1 6 14.3 The Coyotes are 1-6 AGAINST since Mar 20, 2017 as a road dog

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).