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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
2750 8.3 136 72 65.4 The Lightning are 136-72 ON since Mar 13, 2014 as a favorite
2454 8.7 113 57 66.5 The Lightning are 113-57 ON since Oct 10, 2013 as a home favorite
1322 27.1 26 12 68.4 The Lightning are 26-12 ON since Feb 04, 2017
1048 19.9 27 13 67.5 The Lightning are 27-13 ON since Apr 23, 2015 as a road favorite
783 46.0 11 5 68.8 The Lightning are 11-5 ON since Feb 11, 2017 on the road
698 52.6 8 1 88.9 The Lightning are 8-1 ON since Mar 27, 2017 at home
573 71.3 6 2 75.0 The Lightning are 6-2 ON since Mar 13, 2017 as a road 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).