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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 wins losses % link
4060 7.3 241 256 48.5 The Ducks are 241-256-56 AGAINST since Dec 18, 2006 as a favorite
3400 15.0 87 110 44.2 The Ducks are 87-110-29 AGAINST since Jan 21, 2012 as a home favorite
3180 12.8 98 118 45.4 The Ducks are 98-118-33 AGAINST since Jan 21, 2012 at home
500 25.0 6 10 37.5 The Ducks are 6-10-4 AGAINST since Mar 28, 2016 as a road favorite
900 9.8 40 35 53.3 The Ducks are 40-35-17 ON since Nov 29, 2014 as a dog
680 20.0 18 13 58.1 The Ducks are 18-13-3 ON since Mar 20, 2011 as a home dog
640 8.1 34 31 52.3 The Ducks are 34-31-14 ON since Nov 29, 2014 as a road dog
630 24.2 13 8 61.9 The Ducks are 13-8-5 ON since Feb 09, 2017 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).