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
17150 16.1 -0.1 406 525 43.6 The Kings are 406-525-133 AGAINST since Mar 02, 2008.
9390 17.5 -0.1 191 259 42.4 The Kings are 191-259-87 AGAINST since Jan 28, 2010 as a favorite.
7450 19.2 -0.2 140 195 41.8 The Kings are 140-195-53 AGAINST since Feb 11, 2010 as a home favorite.
7300 14.3 -0.0 202 250 44.7 The Kings are 202-250-57 AGAINST since Oct 30, 2008 at home.
1010 28.1 -0.5 13 21 38.2 The Kings are 13-21-2 AGAINST since Oct 15, 2019 as a dog.
630 30.0 -0.6 8 13 38.1 The Kings are 8-13 AGAINST since Nov 05, 2019 on the road.
620 32.6 -0.6 7 12 36.8 The Kings are 7-12 AGAINST since Nov 05, 2019 as a road dog.
530 22.1 -0.0 9 13 40.9 The Kings are 9-13-2 AGAINST since Mar 05, 2019 as a home 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).