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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
2500 14.2 74 90 45.1 The Jets are 74-90-12 AGAINST since Mar 07, 2013 as a road dog
1060 46.1 7 16 30.4 The Jets are 7-16 AGAINST since Oct 26, 2017 as a dog
4940 10.6 234 208 52.9 The Jets are 234-208-25 ON since Feb 11, 2012
4310 21.3 111 79 58.4 The Jets are 111-79-12 ON since Apr 11, 2013 at home
2810 16.6 91 72 55.8 The Jets are 91-72-6 ON since Apr 11, 2013 as a favorite
2370 14.5 87 72 54.7 The Jets are 87-72-5 ON since Feb 19, 2012 as a home favorite
1810 34.2 31 16 66.0 The Jets are 31-16-6 ON since Oct 18, 2013 as a home dog
680 68.0 8 2 80.0 The Jets are 8-2 ON since Jan 13, 2017 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).