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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 against
$ ROI wins losses % link
10520 10.5 425 482 46.9 The Ducks are 425-482-93 AGAINST since Nov 21, 2006
7140 14.8 197 244 44.7 The Ducks are 197-244-43 AGAINST since Jan 18, 2007 on the road
6160 15.3 165 206 44.5 The Ducks are 165-206-32 AGAINST since Jan 19, 2007 as a dog
5410 16.2 134 171 43.9 The Ducks are 134-171-28 AGAINST since Jan 19, 2007 as a road dog
4640 8.2 244 264 48.0 The Ducks are 244-264-57 AGAINST since Dec 18, 2006 as a favorite
3760 14.4 101 126 44.5 The Ducks are 101-126-34 AGAINST since Jan 21, 2012 at home
3760 15.9 90 116 43.7 The Ducks are 90-116-30 AGAINST since Jan 21, 2012 as a home favorite
720 32.7 6 12 33.3 The Ducks are 6-12-4 AGAINST since Mar 28, 2016 as a road 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).