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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 ml against,SDB's sample ml on,SDB's sample ml against,SDB's sample ml on
$ ROI wins losses % link
1485 21.3 17 37 31.5 The Jets are 17-37 AGAINST since Apr 25, 2013 as a home dog
978 48.6 13 5 72.2 The Jets are 13-5 ON since Mar 16, 2017
897 37.4 14 10 58.3 The Jets are 14-10 ON since Dec 03, 2016 as a road dog
773 11.5 31 34 47.7 The Jets are 31-34 ON since Jan 02, 2016 on the road
717 25.6 15 13 53.6 The Jets are 15-13 ON since Dec 03, 2016 as a dog
587 58.5 7 1 87.5 The Jets are 7-1 ON since Mar 21, 2017 as a favorite
502 46.9 7 2 77.8 The Jets are 7-2 ON since Mar 19, 2017 at home

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).