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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 Margin wins losses % link
601 42.1 -1.4 2 9 18.2 The Jets are 2-9 AGAINST since May 16, 2018 as a dog
601 42.1 -1.4 2 9 18.2 The Jets are 2-9 AGAINST since May 16, 2018 as a road dog
3670 16.6 0.7 102 57 64.2 The Jets are 102-57 ON since Mar 16, 2017
3191 19.2 1.0 75 29 72.1 The Jets are 75-29 ON since Mar 21, 2017 as a favorite
1155 39.0 0.9 17 4 81.0 The Jets are 17-4 ON since Jan 09, 2018 as a road favorite
1088 7.5 -0.0 66 67 49.6 The Jets are 66-67 ON since Jan 02, 2016 on the road
588 30.9 1.7 9 2 81.8 The Jets are 9-2 ON since Dec 09, 2018 at home
500 59.1 2.6 5 0 100.0 The Jets are 5-0 ON since Jan 06, 2019 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).