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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 ml against,SDB's sample ml on,SDB's sample ml against,SDB's sample ml on
$ ROI Margin wins losses % link
5430 5.7 -0.4 280 391 41.7 The Red Wings are 280-391 AGAINST since Feb 21, 2012.
5029 25.4 -0.0 89 108 45.2 The Red Wings are 89-108 AGAINST since Feb 23, 2012 as a home favorite.
3009 11.9 0.1 127 123 50.8 The Red Wings are 127-123 AGAINST since Feb 23, 2012 as a favorite.
2786 4.4 -0.8 137 247 35.7 The Red Wings are 137-247 AGAINST since Oct 18, 2006 as a road dog.
2558 7.6 -1.1 54 122 30.7 The Red Wings are 54-122 AGAINST since Feb 03, 2016 on the road.
1961 22.2 -2.0 9 35 20.5 The Red Wings are 9-35 AGAINST since Oct 12, 2019 as a dog.
669 15.7 -1.4 7 18 28.0 The Red Wings are 7-18 AGAINST since Oct 08, 2019 at home.
569 13.7 -1.5 7 17 29.2 The Red Wings are 7-17 AGAINST since Oct 08, 2019 as a home dog.
3056 11.0 0.7 129 69 65.2 The Red Wings are 129-69 ON since Dec 04, 2007 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).