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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 ou against,SDB's sample ou on,SDB's sample ou against,SDB's sample ou on
$ ROI Margin wins losses % link
520 23.6 -0.4 8 12 40.0 The Lightning are 8-12-2 AGAINST since Jan 08, 2019 at home
520 23.6 -0.4 8 12 40.0 The Lightning are 8-12-2 AGAINST since Jan 08, 2019 as a home favorite
13130 11.8 0.3 563 488 53.6 The Lightning are 563-488-66 ON since Oct 21, 2006
7480 13.4 0.3 288 242 54.3 The Lightning are 288-242-29 ON since Oct 21, 2006 on the road
2500 29.8 0.8 50 30 62.5 The Lightning are 50-30-4 ON since Jan 19, 2009 as a home dog
2290 15.2 0.3 79 64 55.2 The Lightning are 79-64-8 ON since Oct 21, 2006 as a road favorite
1270 17.6 0.4 37 28 56.9 The Lightning are 37-28-7 ON since Dec 15, 2015 as a dog
910 14.4 0.3 31 25 55.4 The Lightning are 31-25-7 ON since Dec 15, 2015 as a road dog
540 20.8 0.2 14 10 58.3 The Lightning are 14-10-2 ON since Feb 09, 2019 as a 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).