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 on,SDB's sample ou on
$ ROI Margin wins losses % link
3320 8.9 0.3 182 167 52.1 The Wild are 182-167-24 ON since Nov 25, 2016.
2750 14.8 0.5 95 77 55.2 The Wild are 95-77-14 ON since Nov 26, 2016 on the road.
2300 5.3 0.1 190 186 50.5 The Wild are 190-186-61 ON since Nov 16, 2006 as a road dog.
1190 23.3 0.6 29 20 59.2 The Wild are 29-20-2 ON since Oct 05, 2017 as a road favorite.
810 50.6 0.9 11 4 73.3 The Wild are 11-4-1 ON since Mar 29, 2021 as a favorite.
810 54.0 1.5 11 4 73.3 The Wild are 11-4 ON since Apr 05, 2021 at home.
670 83.8 1.4 7 1 87.5 The Wild are 7-1 ON since Apr 14, 2021 as a home favorite.
570 63.3 1.7 7 2 77.8 The Wild are 7-2 ON since Mar 01, 2020 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).