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
12750 11.5 0.1 461 535 46.3 The Canadiens are 461-535-117 AGAINST since Oct 07, 2006.
7170 13.8 0.0 211 257 45.1 The Canadiens are 211-257-53 AGAINST since Mar 17, 2007 at home.
6660 12.7 0.1 215 256 45.6 The Canadiens are 215-256-54 AGAINST since Oct 07, 2006 as a dog.
6190 14.6 0.1 168 209 44.6 The Canadiens are 168-209-47 AGAINST since Oct 10, 2009 on the road.
6070 10.9 0.1 233 267 46.6 The Canadiens are 233-267-56 AGAINST since Dec 27, 2006 as a favorite.
4980 15.8 0.1 124 158 44.0 The Canadiens are 124-158-34 AGAINST since Oct 10, 2009 as a road dog.
4970 12.4 0.1 167 197 45.9 The Canadiens are 167-197-36 AGAINST since Mar 20, 2007 as a home favorite.
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).