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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
11230 10.8 0.1 441 503 46.7 The Ducks are 441-503-94 AGAINST since Nov 21, 2006
7970 15.8 0.1 203 257 44.1 The Ducks are 203-257-43 AGAINST since Jan 18, 2007 on the road
6520 15.8 0.1 168 212 44.2 The Ducks are 168-212-32 AGAINST since Jan 19, 2007 as a dog
5770 16.9 0.1 137 177 43.6 The Ducks are 137-177-28 AGAINST since Jan 19, 2007 as a road dog
1190 37.2 -0.3 9 19 32.1 The Ducks are 9-19-4 AGAINST since Mar 28, 2016 as a road favorite
530 23.0 0.4 13 9 59.1 The Ducks are 13-9-1 ON since Dec 31, 2017 at home
530 23.0 0.4 13 9 59.1 The Ducks are 13-9-1 ON since Dec 31, 2017 as a home 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).