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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 ml against,SDB's sample ml on,SDB's sample ml against,SDB's sample ml on
$ ROI wins losses % link
4160 8.2 144 220 39.6 The Devils are 144-220 AGAINST since Feb 12, 2013
3812 9.4 89 172 34.1 The Devils are 89-172 AGAINST since Jun 11, 2012 as a dog
1842 11.2 48 79 37.8 The Devils are 48-79 AGAINST since Apr 08, 2007 as a home dog
1522 7.2 83 99 45.6 The Devils are 83-99 AGAINST since Feb 12, 2013 at home
1180 23.5 22 28 44.0 The Devils are 22-28 AGAINST since Jan 14, 2010 as a road favorite
1100 53.1 0 11 0.0 The Devils are 0-11 AGAINST since Feb 19, 2017 on the road
1000 50.7 0 10 0.0 The Devils are 0-10 AGAINST since Feb 19, 2017 as a road dog
1018 16.5 30 15 66.7 The Devils are 30-15 ON since Jan 03, 2015 as a favorite
726 13.1 26 14 65.0 The Devils are 26-14 ON since Jan 03, 2015 as a home 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).