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 against
$ ROI Margin wins losses % link
9800 8.0 0.2 540 580 48.2 The Red Wings are 540-580-109 AGAINST since Oct 05, 2006.
6330 9.2 0.2 303 333 47.6 The Red Wings are 303-333-55 AGAINST since Oct 05, 2006 as a favorite.
5070 9.3 0.2 243 267 47.6 The Red Wings are 243-267-36 AGAINST since Dec 31, 2007 at home.
3740 7.8 0.1 209 224 48.3 The Red Wings are 209-224-48 AGAINST since Jun 09, 2009 as a dog.
3430 15.2 0.2 90 113 44.3 The Red Wings are 90-113-23 AGAINST since Oct 07, 2006 as a road favorite.
2910 7.3 0.2 181 191 48.7 The Red Wings are 181-191-26 AGAINST since Dec 31, 2007 as a home favorite.
2240 18.7 -0.2 48 64 42.9 The Red Wings are 48-64-8 AGAINST since Mar 30, 2014 as a home dog.
1060 20.4 -0.0 18 26 40.9 The Red Wings are 18-26-8 AGAINST since Jan 20, 2019 as a road dog.
1060 20.4 -0.0 18 26 40.9 The Red Wings are 18-26-8 AGAINST since Jan 20, 2019 on the road.
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).