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

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


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
1760 13.3 0.0 55 66 45.5 The Lightning are 55-66-11 AGAINST since Dec 29, 2019.
1210 14.9 -0.2 33 41 44.6 The Lightning are 33-41-7 AGAINST since Oct 12, 2019 on the road.
780 78.0 -1.6 1 8 11.1 The Lightning are 1-8-1 AGAINST since Dec 21, 2019 as a dog.
780 78.0 -1.6 1 8 11.1 The Lightning are 1-8-1 AGAINST since Dec 21, 2019 as a road dog.
2570 32.9 0.8 47 26 64.4 The Lightning are 47-26-5 ON since Jan 19, 2009 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).