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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
2710 11.7 95 111 46.1 The Red Wings are 95-111-25 AGAINST since Oct 07, 2006 as a road favorite
1030 22.9 15 23 39.5 The Red Wings are 15-23-7 AGAINST since Mar 30, 2014 as a home dog
590 45.4 4 9 30.8 The Red Wings are 4-9 AGAINST since Oct 24, 2017 as a dog
570 63.3 2 7 22.2 The Red Wings are 2-7 AGAINST since Oct 24, 2017 as a road dog
570 63.3 2 7 22.2 The Red Wings are 2-7 AGAINST since Oct 24, 2017 on the road
1310 7.2 81 76 51.6 The Red Wings are 81-76-24 ON since Nov 16, 2015
720 37.9 12 6 66.7 The Red Wings are 12-6-1 ON since Apr 01, 2017 at home
600 37.5 10 5 66.7 The Red Wings are 10-5-1 ON since Dec 27, 2016 as a home favorite
500 29.4 10 6 62.5 The Red Wings are 10-6-1 ON since Dec 27, 2016 as a 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).