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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 Margin wins losses % link
732 43.1 -0.9 3 11 21.4 The Lightning are 3-11 AGAINST since Nov 29, 2013 as a home dog
4944 9.0 0.7 222 109 67.1 The Lightning are 222-109 ON since Mar 13, 2014 as a favorite
4407 5.9 0.5 311 211 59.6 The Lightning are 311-211 ON since Oct 05, 2013
3846 6.2 0.6 253 150 62.8 The Lightning are 253-150 ON since Dec 26, 2009 at home
3360 8.0 0.8 164 78 67.8 The Lightning are 164-78 ON since Oct 10, 2013 as a home favorite
2544 23.6 0.7 56 28 66.7 The Lightning are 56-28 ON since Feb 11, 2017 on the road
2336 18.5 0.8 62 29 68.1 The Lightning are 62-29 ON since Apr 23, 2015 as a road favorite
1151 47.8 0.8 16 8 66.7 The Lightning are 16-8 ON since Mar 13, 2017 as a road dog
1049 38.7 0.7 17 10 63.0 The Lightning are 17-10 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).