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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
7050 13.2 0.1 210 255 45.2 The Wild are 210-255-71 AGAINST since Oct 05, 2006 as a favorite
5820 11.1 0.1 208 242 46.2 The Wild are 208-242-76 AGAINST since Oct 05, 2006 at home
4730 11.4 0.1 165 193 46.1 The Wild are 165-193-56 AGAINST since Oct 05, 2006 as a home favorite
1660 12.8 0.0 56 66 45.9 The Wild are 56-66-8 AGAINST since Oct 24, 2017
850 32.7 -0.5 8 15 34.8 The Wild are 8-15-3 AGAINST since Mar 24, 2018 as a dog
790 22.6 -0.3 13 19 40.6 The Wild are 13-19-3 AGAINST since Dec 17, 2017 as a road dog
830 39.5 0.7 13 6 68.4 The Wild are 13-6-2 ON since Apr 08, 2014 as a home dog
620 31.0 1.0 12 7 63.2 The Wild are 12-7-1 ON since Oct 05, 2017 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).