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SDQL3 access will continue with user input data at http://s3.sportsdatabase.com.

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tools for the objective handicapper


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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
9850 18.2 -0.1 215 285 43.0 The Flames are 215-285-41 AGAINST since Jan 13, 2008 on the road.
8540 20.4 -0.1 161 224 41.8 The Flames are 161-224-34 AGAINST since Dec 18, 2007 as a road dog.
8110 15.2 0.0 217 271 44.5 The Flames are 217-271-44 AGAINST since Dec 18, 2007 as a dog.
1360 19.4 -0.1 26 36 41.9 The Flames are 26-36-8 AGAINST since Mar 01, 2020.
6980 16.4 0.6 218 170 56.2 The Flames are 218-170-38 ON since Oct 16, 2010 at home.
5280 17.2 0.5 158 121 56.6 The Flames are 158-121-28 ON since Oct 16, 2010 as a home favorite.
5160 13.1 0.4 196 164 54.4 The Flames are 196-164-33 ON since Oct 16, 2010 as a favorite.
1560 13.9 0.6 56 46 54.9 The Flames are 56-46-10 ON since Apr 13, 2008 as a home 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).