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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
10500 10.6 0.1 423 480 46.8 The Hurricanes are 423-480-84 AGAINST since Nov 02, 2006
6560 13.8 0.1 194 236 45.1 The Hurricanes are 194-236-45 AGAINST since Jan 30, 2007 at home
4790 15.7 0.0 127 159 44.4 The Hurricanes are 127-159-20 AGAINST since Nov 14, 2008 as a favorite
4640 18.3 -0.0 101 134 43.0 The Hurricanes are 101-134-18 AGAINST since Nov 26, 2008 as a home favorite
4270 8.7 0.1 218 237 47.9 The Hurricanes are 218-237-36 AGAINST since Nov 04, 2006 on the road
890 27.0 -0.2 12 19 38.7 The Hurricanes are 12-19-2 AGAINST since Mar 27, 2012 as a road favorite
830 20.2 0.5 17 23 42.5 The Hurricanes are 17-23-1 AGAINST since Nov 10, 2017 as a dog
790 23.9 0.5 13 19 40.6 The Hurricanes are 13-19-1 AGAINST since Nov 10, 2017 as a road dog
540 22.5 0.6 14 10 58.3 The Hurricanes are 14-10 ON since Feb 13, 2016 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).