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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 ml against,SDB's sample ml against
$ ROI wins losses % link
5253 9.1 124 232 34.8 The Coyotes are 124-232 AGAINST since Nov 21, 2013
4256 7.5 107 222 32.5 The Coyotes are 107-222 AGAINST since May 13, 2012 as a dog
1688 25.1 30 37 44.8 The Coyotes are 30-37 AGAINST since Nov 21, 2013 as a favorite
1293 23.0 26 30 46.4 The Coyotes are 26-30 AGAINST since Nov 21, 2013 as a home favorite
1057 33.5 6 18 25.0 The Coyotes are 6-18 AGAINST since Apr 08, 2017 at home
806 40.3 7 13 35.0 The Coyotes are 7-13 AGAINST since Dec 01, 2011 as a road favorite
690 26.1 5 14 26.3 The Coyotes are 5-14 AGAINST since Apr 08, 2017 as a home dog
515 23.7 2 9 18.2 The Coyotes are 2-9 AGAINST since Nov 28, 2017 on the road
515 23.7 2 9 18.2 The Coyotes are 2-9 AGAINST since Nov 28, 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).