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
760 29.2 -0.8 10 16 38.5 The Flyers are 10-16 AGAINST since Nov 10, 2018 as a favorite.
630 30.0 -0.8 8 13 38.1 The Flyers are 8-13 AGAINST since Nov 10, 2018 as a home favorite.
8450 7.6 0.3 535 504 51.5 The Flyers are 535-504-71 ON since Oct 28, 2006.
4770 8.6 0.3 267 246 52.0 The Flyers are 267-246-42 ON since Oct 28, 2006 at home.
1520 19.7 0.5 42 31 57.5 The Flyers are 42-31-4 ON since Nov 22, 2017 as a dog.
1240 12.0 0.4 54 47 53.5 The Flyers are 54-47-2 ON since Feb 13, 2010 as a road favorite.
1020 8.0 0.3 62 58 51.7 The Flyers are 62-58-8 ON since Dec 01, 2015 as a road dog.
810 50.6 1.1 11 4 73.3 The Flyers are 11-4-1 ON since Jan 25, 2018 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).