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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 on,SDB's sample ml against,SDB's sample ml on
$ ROI Margin wins losses % link
1795 24.9 -0.3 32 40 44.4 The Coyotes are 32-40 AGAINST since Nov 21, 2013 as a favorite
1293 21.5 -0.2 28 32 46.7 The Coyotes are 28-32 AGAINST since Nov 21, 2013 as a home favorite
913 43.5 -0.5 7 14 33.3 The Coyotes are 7-14 AGAINST since Dec 01, 2011 as a road favorite
1196 49.8 0.8 15 9 62.5 The Coyotes are 15-9 ON since Feb 08, 2018 as a dog
1061 35.5 0.6 17 12 58.6 The Coyotes are 17-12 ON since Feb 08, 2018
661 60.0 1.5 8 3 72.7 The Coyotes are 8-3 ON since Feb 12, 2018 as a home dog
643 40.9 0.9 10 5 66.7 The Coyotes are 10-5 ON since Feb 12, 2018 at home
635 52.9 0.3 7 5 58.3 The Coyotes are 7-5 ON since Feb 08, 2018 as a road dog
518 39.3 0.2 7 6 53.8 The Coyotes are 7-6 ON since Feb 08, 2018 on the road

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).