Note: This site will be discontinued as of September 1, 2021.
SDQL3 access will continue with user input data at http://s3.sportsdatabase.com.

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
824 81.5 -1.2 2 8 20.0 The Jets are 2-8 AGAINST since Apr 12, 2021 as a favorite.
649 46.0 -0.6 5 9 35.7 The Jets are 5-9 AGAINST since Jan 30, 2021 as a home favorite.
648 28.6 -0.8 7 13 35.0 The Jets are 7-13 AGAINST since Mar 01, 2021 at home.
3917 9.9 -0.1 182 185 49.6 The Jets are 182-185 ON since Jan 31, 2012 on the road.
3512 12.1 -0.2 136 154 46.9 The Jets are 136-154 ON since Jan 07, 2012 as a road dog.
1275 22.5 0.8 29 11 72.5 The Jets are 29-11 ON since Jan 09, 2018 as a road favorite.
826 24.3 0.2 19 15 55.9 The Jets are 19-15 ON since Feb 02, 2021 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).