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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 SDB's sample su 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 wins losses % link
14040 16.9 304 404 42.9 The Kings are 304-404-124 AGAINST since Mar 02, 2008
9940 21.8 147 224 39.6 The Kings are 147-224-84 AGAINST since Jan 28, 2010 as a favorite
8290 17.6 169 229 42.5 The Kings are 169-229-73 AGAINST since Jan 15, 2007 on the road
7030 21.8 109 163 40.1 The Kings are 109-163-50 AGAINST since Feb 11, 2010 as a home favorite
5780 17.4 127 168 43.1 The Kings are 127-168-38 AGAINST since Jan 15, 2007 as a road dog
5600 13.8 164 200 45.1 The Kings are 164-200-41 AGAINST since Jan 15, 2007 as a dog
3000 23.1 36 60 37.5 The Kings are 36-60-34 AGAINST since Jan 28, 2010 as a road favorite
570 63.3 2 7 22.2 The Kings are 2-7 AGAINST since Nov 12, 2017 at home
1550 18.2 45 34 57.0 The Kings are 45-34-6 ON since Nov 01, 2006 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).