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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
3040 8.8 142 74 65.7 The Lightning are 142-74 ON since Mar 13, 2014 as a favorite
2544 8.8 117 59 66.5 The Lightning are 117-59 ON since Oct 10, 2013 as a home favorite
2360 4.4 224 169 57.0 The Lightning are 224-169 ON since Oct 05, 2013
1313 58.3 16 5 76.2 The Lightning are 16-5 ON since Feb 11, 2017 on the road
1248 22.6 29 13 69.0 The Lightning are 29-13 ON since Apr 23, 2015 as a road favorite
903 81.8 9 2 81.8 The Lightning are 9-2 ON since Mar 13, 2017 as a road dog
801 56.9 10 4 71.4 The Lightning are 10-4 ON since Mar 09, 2017 as a dog
788 34.6 12 3 80.0 The Lightning are 12-3 ON since Mar 27, 2017 at home

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).