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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 on,SDB's sample ou against,SDB's sample ou on
$ ROI Margin wins losses % link
1100 33.3 -0.6 11 20 35.5 The Knights are 11-20-2 AGAINST since Dec 27, 2017 as a road dog
1010 28.1 -0.6 13 21 38.2 The Knights are 13-21-2 AGAINST since Dec 14, 2017 as a dog
990 19.0 -0.0 22 29 43.1 The Knights are 22-29-1 AGAINST since Nov 28, 2017 as a home favorite
900 16.4 -0.0 24 30 44.4 The Knights are 24-30-1 AGAINST since Nov 28, 2017 at home
920 57.5 1.1 12 4 75.0 The Knights are 12-4 ON since Apr 03, 2018 as a road favorite
830 20.2 0.5 23 17 57.5 The Knights are 23-17-1 ON since Mar 30, 2018 as a favorite
600 37.5 0.5 10 5 66.7 The Knights are 10-5-1 ON since Nov 18, 2018
500 31.2 0.9 10 6 62.5 The Knights are 10-6 ON since Nov 01, 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).