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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 ou against,SDB's sample ou on,SDB's sample ou against,SDB's sample ou on
$ ROI Margin wins losses % link
690 53.1 -0.9 3 9 25.0 The Sharks are 3-9-1 AGAINST since Oct 09, 2010 as a home dog
1210 35.6 0.7 21 11 65.6 The Sharks are 21-11-2 ON since Feb 18, 2018
1130 30.5 0.8 23 14 62.2 The Sharks are 23-14 ON since Dec 07, 2017 as a favorite
1000 31.2 0.8 20 12 62.5 The Sharks are 20-12 ON since Dec 07, 2017 at home
670 23.1 0.6 17 12 58.6 The Sharks are 17-12 ON since Dec 07, 2017 as a home favorite
580 48.3 1.3 8 3 72.7 The Sharks are 8-3-1 ON since Mar 14, 2018 on the road

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).