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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
910 60.7 3 11 21.4 The Avalanche are 3-11-1 AGAINST since Dec 27, 2015 as a favorite
800 57.1 3 10 23.1 The Avalanche are 3-10-1 AGAINST since Dec 27, 2015 as a home favorite
540 21.6 10 14 41.7 The Avalanche are 10-14-1 AGAINST since Jan 08, 2010 as a road favorite
4780 8.0 288 269 51.7 The Avalanche are 288-269-43 ON since Feb 02, 2010
4780 11.0 218 192 53.2 The Avalanche are 218-192-26 ON since Dec 27, 2006 at home
3570 8.2 207 192 51.9 The Avalanche are 207-192-34 ON since Nov 18, 2009 as a dog
2400 34.8 40 20 66.7 The Avalanche are 40-20-9 ON since Mar 10, 2015 as a home dog
950 13.6 35 29 54.7 The Avalanche are 35-29-6 ON since Dec 28, 2015 as a road dog
870 29.0 17 10 63.0 The Avalanche are 17-10-3 ON since Jan 31, 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).