Winning picks from SDQL masters. 		S p o r t s D a t a b a s e . c o m
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 ml against,SDB's sample ml on,SDB's sample ml against,SDB's sample ml on
$ ROI Margin wins losses % link
1041 65.1 -0.8 5 11 31.2 The Capitals are 5-11 AGAINST since Jan 29, 2020 as a favorite.
880 44.1 -0.5 7 12 36.8 The Capitals are 7-12 AGAINST since Jan 29, 2020.
632 25.3 -0.0 13 12 52.0 The Capitals are 13-12 AGAINST since Nov 11, 2019 as a home favorite.
632 25.3 -0.0 13 12 52.0 The Capitals are 13-12 AGAINST since Nov 11, 2019 at home.
566 94.3 -1.2 1 5 16.7 The Capitals are 1-5 AGAINST since Feb 15, 2020 as a road favorite.
535 61.8 -0.6 2 6 25.0 The Capitals are 2-6 AGAINST since Feb 15, 2020 on the road.
2597 21.6 0.1 65 55 54.2 The Capitals are 65-55 ON since Feb 11, 2015 as a road dog.
2307 17.9 0.0 68 61 52.7 The Capitals are 68-61 ON since Feb 11, 2015 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).