Winning picks from SDQL masters.
S p o r t s D a t a b a s e . c o m
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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
8940 16.3 0.0 234 294 44.3 The Blue Jackets are 234-294-22 AGAINST since Dec 31, 2006 at home.
6880 10.2 0.1 303 338 47.3 The Blue Jackets are 303-338-33 AGAINST since Oct 14, 2006 as a dog.
5770 13.8 -0.0 181 217 45.5 The Blue Jackets are 181-217-19 AGAINST since Feb 18, 2007 as a favorite.
4780 14.1 -0.0 148 178 45.4 The Blue Jackets are 148-178-13 AGAINST since Feb 18, 2007 as a home favorite.
3940 6.9 0.1 262 274 48.9 The Blue Jackets are 262-274-31 AGAINST since Oct 14, 2006 on the road.
3840 20.4 0.0 76 104 42.2 The Blue Jackets are 76-104-8 AGAINST since Jan 13, 2007 as a home dog.
3300 6.9 0.1 220 230 48.9 The Blue Jackets are 220-230-25 AGAINST since Oct 14, 2006 as a road dog.
1240 19.1 -0.0 25 34 42.4 The Blue Jackets are 25-34-6 AGAINST since Mar 23, 2014 as a road 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).