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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 Margin wins losses % link
2290 26.0 -0.5 31 49 38.8 The Stars are 31-49-8 AGAINST since Jan 13, 2018
1470 32.7 -0.5 15 27 35.7 The Stars are 15-27-3 AGAINST since Jan 25, 2018 as a favorite
1280 17.8 -0.5 29 38 43.3 The Stars are 29-38-5 AGAINST since Jan 19, 2017 as a dog
1280 13.6 -0.3 40 48 45.5 The Stars are 40-48-6 AGAINST since Nov 29, 2016 on the road
1260 28.6 -0.4 16 26 38.1 The Stars are 16-26-2 AGAINST since Jan 13, 2018 at home
1120 18.7 -0.5 24 32 42.9 The Stars are 24-32-4 AGAINST since Jan 10, 2017 as a road dog
910 25.3 -0.3 14 21 40.0 The Stars are 14-21-1 AGAINST since Jan 13, 2018 as a home favorite
570 51.8 -0.7 2 7 22.2 The Stars are 2-7-2 AGAINST since Feb 01, 2018 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).