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
1090 35.2 -0.3 10 19 34.5 The Capitals are 10-19-2 AGAINST since Feb 24, 2008 as a home dog.
5500 13.0 0.3 210 176 54.4 The Capitals are 210-176-37 ON since Dec 30, 2015.
4940 12.0 0.4 204 175 53.8 The Capitals are 204-175-31 ON since Apr 20, 2011 on the road.
1920 16.6 0.1 62 49 55.9 The Capitals are 62-49-5 ON since Nov 30, 2017 at home.
1700 15.0 0.1 60 49 55.0 The Capitals are 60-49-4 ON since Nov 22, 2017 as a home favorite.
1390 14.8 0.6 49 40 55.1 The Capitals are 49-40-5 ON since Mar 09, 2016 as a road dog.
1270 28.2 1.1 27 17 61.4 The Capitals are 27-17-1 ON since May 24, 2018 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).