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
10410 9.8 0.1 480 531 47.5 The Blue Jackets are 480-531-52 AGAINST since Oct 06, 2006.
6650 13.0 0.1 225 265 45.9 The Blue Jackets are 225-265-22 AGAINST since Dec 31, 2006 at home.
4190 11.2 0.1 166 189 46.8 The Blue Jackets are 166-189-19 AGAINST since Feb 18, 2007 as a favorite.
4090 7.7 0.1 244 259 48.5 The Blue Jackets are 244-259-28 AGAINST since Oct 14, 2006 on the road.
3110 10.4 0.1 135 151 47.2 The Blue Jackets are 135-151-13 AGAINST since Feb 18, 2007 as a home favorite.
1330 21.8 -0.0 23 33 41.1 The Blue Jackets are 23-33-5 AGAINST since Mar 23, 2014 as a road favorite.
1090 36.3 -0.5 10 19 34.5 The Blue Jackets are 10-19-1 AGAINST since Nov 01, 2018 as a dog.
1060 44.2 -0.8 7 16 30.4 The Blue Jackets are 7-16-1 AGAINST since Nov 01, 2018 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).