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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 wins losses % link
10880 10.9 417 478 46.6 The Sharks are 417-478-105 AGAINST since Oct 07, 2006
8550 11.3 316 365 46.4 The Sharks are 316-365-74 AGAINST since Oct 07, 2006 as a favorite
5680 11.5 205 238 46.3 The Sharks are 205-238-52 AGAINST since Oct 23, 2006 on the road
5290 10.5 210 239 46.8 The Sharks are 210-239-53 AGAINST since Oct 07, 2006 at home
4790 9.9 204 229 47.1 The Sharks are 204-229-52 AGAINST since Oct 07, 2006 as a home favorite
3760 13.9 112 136 45.2 The Sharks are 112-136-22 AGAINST since Oct 23, 2006 as a road favorite
780 20.0 12 18 40.0 The Sharks are 12-18-9 AGAINST since Jan 12, 2016 as a road dog
690 53.1 3 9 25.0 The Sharks are 3-9-1 AGAINST since Oct 09, 2010 as a home dog

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).