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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
9610 9.8 411 461 47.1 The Blues are 411-461-105 AGAINST since Oct 07, 2006
5670 10.7 215 247 46.5 The Blues are 215-247-68 AGAINST since Nov 10, 2006 as a favorite
5500 11.3 198 230 46.3 The Blues are 198-230-59 AGAINST since Oct 20, 2006 at home
4770 12.6 158 187 45.8 The Blues are 158-187-34 AGAINST since Feb 19, 2009 on the road
4580 12.9 139 168 45.3 The Blues are 139-168-48 AGAINST since Feb 28, 2008 as a home favorite
3940 13.9 119 144 45.2 The Blues are 119-144-21 AGAINST since Jan 11, 2009 as a dog
3520 14.8 99 122 44.8 The Blues are 99-122-17 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
500 27.8 6 10 37.5 The Blues are 6-10-2 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).