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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
6920 12.1 230 272 45.8 The Bruins are 230-272-70 AGAINST since Mar 05, 2009 as a favorite
6720 14.3 188 232 44.8 The Bruins are 188-232-50 AGAINST since Feb 13, 2007 at home
6510 18.1 134 181 42.5 The Bruins are 134-181-44 AGAINST since Mar 14, 2009 as a home favorite
790 23.2 13 19 40.6 The Bruins are 13-19-2 AGAINST since Mar 21, 2017
3220 12.6 122 102 54.5 The Bruins are 122-102-32 ON since Oct 29, 2011 on the road
1690 9.7 79 70 53.0 The Bruins are 79-70-26 ON since Mar 08, 2009 as a dog
1400 9.0 70 63 52.6 The Bruins are 70-63-23 ON since Mar 08, 2009 as a road dog
700 43.8 10 4 71.4 The Bruins are 10-4-2 ON since Jan 10, 2017 as a road favorite
570 63.3 7 2 77.8 The Bruins are 7-2 ON since Mar 08, 2015 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).