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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
4510 9.4 220 241 47.7 The Oilers are 220-241-19 AGAINST since Nov 11, 2009 as a dog
1630 5.9 130 133 49.4 The Oilers are 130-133-11 AGAINST since Nov 23, 2010 on the road
1130 18.2 25 33 43.1 The Oilers are 25-33-4 AGAINST since Apr 08, 2014 as a home dog
1080 40.0 9 18 33.3 The Oilers are 9-18 AGAINST since Jan 25, 2017 as a road dog
660 21.3 11 16 40.7 The Oilers are 11-16-4 AGAINST since Oct 16, 2006 as a road favorite
520 26.0 8 12 40.0 The Oilers are 8-12 AGAINST since May 10, 2017
1000 27.8 20 12 62.5 The Oilers are 20-12-4 ON since Jan 18, 2017 at home
990 29.1 19 11 63.3 The Oilers are 19-11-4 ON since Jan 18, 2017 as a home favorite
900 23.7 20 13 60.6 The Oilers are 20-13-5 ON since Jan 18, 2017 as a 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).