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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 against
$ ROI wins losses % link
1205 27.2 17 24 41.5 The Sharks are 17-24 AGAINST since Feb 04, 2017
766 25.5 14 16 46.7 The Sharks are 14-16 AGAINST since Feb 04, 2017 as a favorite
675 31.8 6 12 33.3 The Sharks are 6-12 AGAINST since Feb 07, 2017 on the road
664 27.7 11 13 45.8 The Sharks are 11-13 AGAINST since Jan 26, 2017 as a home favorite
622 37.0 3 10 23.1 The Sharks are 3-10 AGAINST since Dec 31, 2016 as a road dog
555 22.1 12 13 48.0 The Sharks are 12-13 AGAINST since Jan 26, 2017 at home
513 28.7 4 10 28.6 The Sharks are 4-10 AGAINST since Dec 31, 2016 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).