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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 wins losses % link
9400 10.1 401 450 47.1 The Hurricanes are 401-450-84 AGAINST since Nov 02, 2006
5800 12.9 184 220 45.5 The Hurricanes are 184-220-45 AGAINST since Jan 30, 2007 at home
4010 17.3 93 121 43.5 The Hurricanes are 93-121-18 AGAINST since Nov 26, 2008 as a home favorite
3930 8.5 206 223 48.0 The Hurricanes are 206-223-36 AGAINST since Nov 04, 2006 on the road
3900 14.2 115 140 45.1 The Hurricanes are 115-140-20 AGAINST since Nov 14, 2008 as a favorite
630 27.4 8 13 38.1 The Hurricanes are 8-13-2 AGAINST since Mar 27, 2012 as a road favorite
610 33.9 6 11 35.3 The Hurricanes are 6-11-1 AGAINST since Nov 10, 2017 as a road dog
520 24.8 8 12 40.0 The Hurricanes are 8-12-1 AGAINST since Nov 10, 2017 as a dog
620 32.6 12 7 63.2 The Hurricanes are 12-7 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).