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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
780 118.2 -2.5 0 6 0.0 The Capitals are 0-6 AGAINST since Jan 12, 2019
700 77.8 -1.4 2 7 22.2 The Capitals are 2-7 AGAINST since Dec 31, 2018 as a favorite
594 29.1 -0.4 5 12 29.4 The Capitals are 5-12 AGAINST since Dec 23, 2013 as a home dog
579 15.2 0.4 19 19 50.0 The Capitals are 19-19 AGAINST since Mar 30, 2018 as a home favorite
555 92.5 -1.3 1 5 16.7 The Capitals are 1-5 AGAINST since Dec 31, 2018 at home
3140 11.1 0.2 134 103 56.5 The Capitals are 134-103 ON since Jan 25, 2014 on the road
2243 13.1 0.5 81 43 65.3 The Capitals are 81-43 ON since Mar 30, 2013 as a road favorite
1794 21.8 0.1 45 37 54.9 The Capitals are 45-37 ON since Feb 15, 2015 as a road dog
1709 31.6 0.2 32 22 59.3 The Capitals are 32-22 ON since Apr 08, 2017 as a dog

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).