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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
11120 11.0 430 492 46.6 The Ducks are 430-492-93 AGAINST since Nov 21, 2006
7610 15.4 200 251 44.3 The Ducks are 200-251-43 AGAINST since Jan 18, 2007 on the road
6390 15.7 166 209 44.3 The Ducks are 166-209-32 AGAINST since Jan 19, 2007 as a dog
5640 16.7 135 174 43.7 The Ducks are 135-174-28 AGAINST since Jan 19, 2007 as a road dog
5010 8.7 248 271 47.8 The Ducks are 248-271-57 AGAINST since Dec 18, 2006 as a favorite
3890 14.6 103 129 44.4 The Ducks are 103-129-34 AGAINST since Jan 21, 2012 at home
3890 16.1 92 119 43.6 The Ducks are 92-119-30 AGAINST since Jan 21, 2012 as a home favorite
960 34.3 8 16 33.3 The Ducks are 8-16-4 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).