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
7740 12.5 0.1 257 304 45.8 The Sharks are 257-304-58 AGAINST since Oct 23, 2006 on the road.
4640 15.3 0.1 123 154 44.4 The Sharks are 123-154-27 AGAINST since Feb 17, 2008 as a dog.
3310 12.3 0.2 111 131 45.9 The Sharks are 111-131-27 AGAINST since Feb 17, 2008 as a road dog.
1490 31.0 -0.5 17 29 37.0 The Sharks are 17-29-2 AGAINST since Nov 21, 2019.
580 48.3 -0.7 3 8 27.3 The Sharks are 3-8-1 AGAINST since Nov 27, 2019 as a favorite.
1140 28.5 0.6 24 15 61.5 The Sharks are 24-15-1 ON since Nov 24, 2017 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).