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
840 52.3 -0.6 6 10 37.5 The Stars are 6-10 AGAINST since Dec 13, 2019 as a home favorite.
807 43.1 -0.7 7 11 38.9 The Stars are 7-11 AGAINST since Dec 13, 2019 at home.
775 68.5 -1.4 1 8 11.1 The Stars are 1-8 AGAINST since Feb 27, 2020.
758 47.1 -0.9 6 10 37.5 The Stars are 6-10 AGAINST since Jan 11, 2020 as a favorite.
1243 23.4 0.0 29 24 54.7 The Stars are 29-24 ON since Dec 18, 2018 as a dog.
1187 32.9 0.3 21 15 58.3 The Stars are 21-15 ON since Mar 02, 2019 as a road dog.
674 15.0 0.1 24 21 53.3 The Stars are 24-21 ON since Feb 23, 2013 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).