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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 ml against,SDB's sample ml on,SDB's sample ml against,SDB's sample ml on
$ ROI wins losses % link
3022 11.5 122 121 50.2 The Kings are 122-121 AGAINST since Oct 28, 2014
2839 12.7 121 102 54.3 The Kings are 121-102 AGAINST since Dec 23, 2013 as a favorite
2379 9.5 94 120 43.9 The Kings are 94-120 AGAINST since Jun 09, 2012 on the road
1744 15.9 61 49 55.5 The Kings are 61-49 AGAINST since Nov 29, 2014 as a home favorite
1395 12.3 64 49 56.6 The Kings are 64-49 AGAINST since Nov 29, 2014 at home
935 21.4 10 23 30.3 The Kings are 10-23 AGAINST since Mar 21, 2016 as a road dog
701 15.2 12 23 34.3 The Kings are 12-23 AGAINST since Mar 21, 2016 as a dog
557 61.9 7 2 77.8 The Kings are 7-2 ON since Nov 28, 2011 as a home dog
500 68.7 5 0 100.0 The Kings are 5-0 ON since Jan 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).