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
5500 17.5 0.0 121 160 43.1 The Canucks are 121-160-34 AGAINST since Oct 17, 2009 as a home favorite.
1230 32.4 0.2 13 23 36.1 The Canucks are 13-23-2 AGAINST since Feb 21, 2019 at home.
580 52.7 -0.6 3 8 27.3 The Canucks are 3-8 AGAINST since Feb 23, 2019 as a home dog.
560 70.0 -0.5 1 6 14.3 The Canucks are 1-6-1 AGAINST since Dec 17, 2019 as a favorite.
1900 11.2 0.2 80 69 53.7 The Canucks are 80-69-21 ON since Mar 08, 2007 as a road favorite.
830 41.5 0.8 13 6 68.4 The Canucks are 13-6-1 ON since Oct 22, 2019 on the road.
620 31.0 0.7 12 7 63.2 The Canucks are 12-7-1 ON since Nov 02, 2019 as a dog.
600 37.5 1.0 10 5 66.7 The Canucks are 10-5-1 ON since Nov 02, 2019 as a road 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).