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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
590 42.1 -0.8 4 9 30.8 The Sharks are 4-9-1 AGAINST since Oct 09, 2010 as a home dog
500 27.8 -0.5 6 10 37.5 The Sharks are 6-10-2 AGAINST since Feb 21, 2019 on the road
4080 4.8 0.2 388 386 50.1 The Sharks are 388-386-77 ON since Jan 16, 2010
3230 5.3 0.2 283 279 50.4 The Sharks are 283-279-51 ON since Jan 16, 2010 as a favorite
2720 5.1 0.2 242 239 50.3 The Sharks are 242-239-51 ON since Dec 08, 2007 at home
2620 5.1 0.2 232 229 50.3 The Sharks are 232-229-50 ON since Dec 08, 2007 as a home favorite
910 25.3 0.7 21 14 60.0 The Sharks are 21-14-1 ON since Nov 24, 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).