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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 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
1680 25.1 -0.3 25 38 39.7 The Avalanche are 25-38-4 AGAINST since Dec 27, 2015 as a home favorite
1240 31.0 -0.7 14 24 36.8 The Avalanche are 14-24-2 AGAINST since Feb 10, 2019
1230 15.0 -0.1 35 43 44.9 The Avalanche are 35-43-4 AGAINST since Nov 22, 2017 at home
1020 12.3 -0.0 36 42 46.2 The Avalanche are 36-42-5 AGAINST since Dec 27, 2015 as a favorite
960 20.9 -0.4 19 26 42.2 The Avalanche are 19-26-1 AGAINST since Apr 18, 2018 as a dog
930 48.9 -1.0 5 13 27.8 The Avalanche are 5-13-1 AGAINST since Feb 10, 2019 on the road
920 54.1 -1.1 4 12 25.0 The Avalanche are 4-12-1 AGAINST since Feb 10, 2019 as a road dog
1870 30.2 0.7 37 22 62.7 The Avalanche are 37-22-3 ON since Feb 24, 2007 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).