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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
735 34.9 8 13 38.1 The Jets are 8-13 AGAINST since Dec 11, 2014 as a road favorite
1486 42.0 22 9 71.0 The Jets are 22-9 ON since Mar 16, 2017
1051 36.2 17 12 58.6 The Jets are 17-12 ON since Dec 03, 2016 as a road dog
977 49.5 13 3 81.2 The Jets are 13-3 ON since Mar 19, 2017 at home
971 28.5 19 15 55.9 The Jets are 19-15 ON since Dec 03, 2016 as a dog
841 43.7 12 3 80.0 The Jets are 12-3 ON since Mar 21, 2017 as a favorite
806 11.0 34 37 47.9 The Jets are 34-37 ON since Jan 02, 2016 on the road
762 48.8 10 2 83.3 The Jets are 10-2 ON since Mar 21, 2017 as a home 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).