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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 against
$ ROI wins losses % link
10090 10.2 415 469 46.9 The Blues are 415-469-106 AGAINST since Oct 07, 2006
6130 11.4 217 253 46.2 The Blues are 217-253-69 AGAINST since Nov 10, 2006 as a favorite
5850 11.8 200 235 46.0 The Blues are 200-235-60 AGAINST since Oct 20, 2006 at home
4930 13.6 141 173 44.9 The Blues are 141-173-49 AGAINST since Feb 28, 2008 as a home favorite
4900 12.8 160 190 45.7 The Blues are 160-190-34 AGAINST since Feb 19, 2009 on the road
3960 13.8 121 146 45.3 The Blues are 121-146-21 AGAINST since Jan 11, 2009 as a dog
3540 14.6 101 124 44.9 The Blues are 101-124-17 AGAINST since Feb 19, 2009 as a road dog
920 48.4 4 12 25.0 The Blues are 4-12-3 AGAINST since Dec 01, 2010 as a home dog
610 32.1 6 11 35.3 The Blues are 6-11-2 AGAINST since Dec 08, 2016 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).