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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
732 43.1 3 11 21.4 The Lightning are 3-11 AGAINST since Nov 29, 2013 as a home dog
3359 6.7 211 132 61.5 The Lightning are 211-132 ON since Dec 26, 2009 at home
3349 9.4 148 76 66.1 The Lightning are 148-76 ON since Mar 13, 2014 as a favorite
2873 9.6 122 60 67.0 The Lightning are 122-60 ON since Oct 10, 2013 as a home favorite
2467 4.5 230 173 57.1 The Lightning are 230-173 ON since Oct 05, 2013
1228 21.2 30 14 68.2 The Lightning are 30-14 ON since Apr 23, 2015 as a road favorite
1091 39.9 17 8 68.0 The Lightning are 17-8 ON since Feb 11, 2017 on the road
701 53.7 9 4 69.2 The Lightning are 9-4 ON since Mar 13, 2017 as a road dog
599 37.2 10 6 62.5 The Lightning are 10-6 ON since Mar 09, 2017 as a 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).