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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
3369 15.5 115 102 53.0 The Sharks are 115-102 AGAINST since Jan 27, 2014 as a favorite
1871 9.2 107 96 52.7 The Sharks are 107-96 AGAINST since Dec 17, 2008 as a road favorite
1043 26.5 15 21 41.7 The Sharks are 15-21 AGAINST since Feb 04, 2017
675 31.8 6 12 33.3 The Sharks are 6-12 AGAINST since Feb 07, 2017 on the road
622 37.0 3 10 23.1 The Sharks are 3-10 AGAINST since Dec 31, 2016 as a road dog
513 28.7 4 10 28.6 The Sharks are 4-10 AGAINST since Dec 31, 2016 as a dog
513 27.0 9 10 47.4 The Sharks are 9-10 AGAINST since Jan 26, 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).