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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
6680 10.2 283 318 47.1 The Red Wings are 283-318-53 AGAINST since Oct 05, 2006 as a favorite
4380 10.3 185 208 47.1 The Red Wings are 185-208-33 AGAINST since Dec 31, 2007 at home
3980 11.2 156 178 46.7 The Red Wings are 156-178-22 AGAINST since Dec 31, 2007 as a home favorite
2710 11.7 95 111 46.1 The Red Wings are 95-111-25 AGAINST since Oct 07, 2006 as a road favorite
1010 24.6 13 21 38.2 The Red Wings are 13-21-7 AGAINST since Mar 30, 2014 as a home dog
1740 20.7 44 31 58.7 The Red Wings are 44-31-9 ON since Jan 11, 2016 as a dog
1620 27.5 32 19 62.7 The Red Wings are 32-19-8 ON since Jan 11, 2016 as a road dog
1520 24.9 32 20 61.5 The Red Wings are 32-20-9 ON since Feb 27, 2016 on the road
1310 8.2 71 65 52.2 The Red Wings are 71-65-24 ON since Nov 16, 2015

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).