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 ou against,SDB's sample ou on,SDB's sample ou against,SDB's sample ou on
$ ROI Margin wins losses % link
1180 42.1 -0.6 8 18 30.8 The Panthers are 8-18-2 AGAINST since Feb 15, 2020 as a home favorite.
4640 16.1 0.4 144 112 56.2 The Panthers are 144-112-33 ON since Jan 20, 2014 as a dog.
2820 13.5 0.4 102 84 54.8 The Panthers are 102-84-23 ON since Jan 20, 2014 as a road dog.
2020 25.9 0.5 42 26 61.8 The Panthers are 42-26-10 ON since Mar 09, 2014 as a home dog.
1020 28.3 0.9 22 14 61.1 The Panthers are 22-14 ON since Oct 23, 2018 as a road favorite.
710 39.4 1.1 11 5 68.8 The Panthers are 11-5-2 ON since Apr 17, 2021.

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).