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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
10310 9.8 448 501 47.2 The Red Wings are 448-501-102 AGAINST since Oct 05, 2006
6860 10.3 290 326 47.1 The Red Wings are 290-326-53 AGAINST since Oct 05, 2006 as a favorite
5270 11.5 197 227 46.5 The Red Wings are 197-227-33 AGAINST since Dec 31, 2007 at home
5060 10.1 209 236 47.0 The Red Wings are 209-236-56 AGAINST since Jan 19, 2007 on the road
4160 11.2 163 186 46.7 The Red Wings are 163-186-22 AGAINST since Dec 31, 2007 as a home favorite
3960 12.0 132 156 45.8 The Red Wings are 132-156-42 AGAINST since Jun 09, 2009 as a dog
2880 11.4 101 118 46.1 The Red Wings are 101-118-33 AGAINST since Jun 09, 2009 as a road dog
2710 11.7 95 111 46.1 The Red Wings are 95-111-25 AGAINST since Oct 07, 2006 as a road favorite
1710 31.1 17 31 35.4 The Red Wings are 17-31-7 AGAINST since Mar 30, 2014 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).