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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
1703 14.5 -0.0 50 58 46.3 The Flames are 50-58 AGAINST since Dec 29, 2015 at home
1580 14.2 -0.4 39 53 42.4 The Flames are 39-53 AGAINST since Mar 29, 2017
1542 38.5 -0.5 16 24 40.0 The Flames are 16-24 AGAINST since Mar 29, 2017 as a home favorite
1053 21.4 -0.2 23 26 46.9 The Flames are 23-26 AGAINST since Mar 29, 2017 as a favorite
900 28.9 -1.0 6 17 26.1 The Flames are 6-17 AGAINST since Feb 15, 2016 as a home dog
770 27.1 -1.4 5 14 26.3 The Flames are 5-14 AGAINST since Jan 25, 2018 as a dog
700 58.2 -2.6 0 7 0.0 The Flames are 0-7 AGAINST since Feb 27, 2018 as a road dog
610 40.6 -1.6 2 8 20.0 The Flames are 2-8 AGAINST since Feb 27, 2018 on the road
1223 31.7 1.3 22 8 73.3 The Flames are 22-8 ON since Jan 01, 2011 as a road 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).