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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 active on filter on
Trends from SDB's sample ou against,SDB's sample ou against
$ ROI Margin wins losses % link
4530 15.0 -0.0 123 153 44.6 The Penguins are 123-153-26 AGAINST since Feb 25, 2007 as a dog
3100 15.9 -0.0 79 100 44.1 The Penguins are 79-100-16 AGAINST since May 30, 2009 as a road dog
2240 67.9 -1.3 4 24 14.3 The Penguins are 4-24-5 AGAINST since Oct 05, 2006 as a home dog
1510 15.0 -0.0 41 51 44.6 The Penguins are 41-51-9 AGAINST since Apr 01, 2018
1070 41.2 -0.8 8 17 32.0 The Penguins are 8-17-1 AGAINST since Feb 05, 2019 as a favorite
1060 20.8 -0.2 18 26 40.9 The Penguins are 18-26-7 AGAINST since Apr 01, 2018 at home
950 19.0 -0.2 18 25 41.9 The Penguins are 18-25-7 AGAINST since Apr 01, 2018 as a home favorite
680 68.0 -0.8 2 8 20.0 The Penguins are 2-8 AGAINST since Mar 02, 2019 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).