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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
4640 17.4 -0.0 101 134 43.0 The Canucks are 101-134-32 AGAINST since Oct 17, 2009 as a home favorite
3760 7.4 0.1 222 236 48.5 The Canucks are 222-236-52 AGAINST since Oct 05, 2006 on the road
2780 8.2 0.1 146 158 48.0 The Canucks are 146-158-33 AGAINST since Oct 05, 2006 as a road dog
1290 12.5 0.0 41 49 45.6 The Canucks are 41-49-13 AGAINST since Dec 12, 2010 as a road favorite
510 28.3 -0.3 7 11 38.9 The Canucks are 7-11 AGAINST since Feb 25, 2018 as a dog
500 31.2 -0.3 6 10 37.5 The Canucks are 6-10 AGAINST since Mar 07, 2018
2050 18.6 0.3 55 40 57.9 The Canucks are 55-40-15 ON since Jan 10, 2009 as a home dog
1770 45.4 0.8 27 12 69.2 The Canucks are 27-12 ON since Oct 12, 2017 at home

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).