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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
6270 14.5 -0.0 187 227 45.2 The Blue Jackets are 187-227-19 AGAINST since Feb 18, 2007 as a favorite.
5240 8.8 0.1 271 294 48.0 The Blue Jackets are 271-294-33 AGAINST since Oct 14, 2006 on the road.
3940 7.9 0.1 229 244 48.4 The Blue Jackets are 229-244-27 AGAINST since Oct 14, 2006 as a road dog.
1900 26.8 -0.1 25 40 38.5 The Blue Jackets are 25-40-6 AGAINST since Mar 23, 2014 as a road favorite.
1540 42.8 0.9 24 11 68.6 The Blue Jackets are 24-11-1 ON since Feb 20, 2020 at home.
1150 54.8 1.0 15 5 75.0 The Blue Jackets are 15-5-1 ON since Aug 06, 2020 as a home dog.
1030 57.2 0.6 13 4 76.5 The Blue Jackets are 13-4-1 ON since Apr 03, 2021.
910 60.7 0.5 11 3 78.6 The Blue Jackets are 11-3-1 ON since Apr 03, 2021 as a 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).