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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
6460 14.0 184 226 44.9 The Bruins are 184-226-50 AGAINST since Feb 13, 2007 at home
6050 17.2 132 175 43.0 The Bruins are 132-175-44 AGAINST since Mar 14, 2009 as a home favorite
1920 36.9 16 32 33.3 The Bruins are 16-32-4 AGAINST since Oct 26, 2006 as a home dog
700 43.8 4 10 28.6 The Bruins are 4-10-2 AGAINST since Mar 21, 2017
690 49.3 3 9 25.0 The Bruins are 3-9-2 AGAINST since Mar 21, 2017 as a favorite
1380 9.1 68 61 52.7 The Bruins are 68-61-23 ON since Mar 08, 2009 as a road dog
1340 8.0 74 68 52.1 The Bruins are 74-68-26 ON since Mar 08, 2009 as a dog
970 32.3 17 9 65.4 The Bruins are 17-9-4 ON since Dec 07, 2016 on the road
570 51.8 7 2 77.8 The Bruins are 7-2-2 ON since Jan 18, 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).