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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 active on filter on
Trends from SDB's sample ou against,SDB's sample ou against
$ ROI Margin wins losses % link
10880 9.8 0.1 472 528 47.2 The Predators are 472-528-106 AGAINST since Dec 04, 2006.
7000 12.4 0.1 238 280 45.9 The Predators are 238-280-46 AGAINST since Oct 12, 2006 on the road.
6360 12.7 0.1 207 246 45.7 The Predators are 207-246-46 AGAINST since Nov 10, 2006 as a dog.
5010 12.3 0.1 171 201 46.0 The Predators are 171-201-36 AGAINST since Nov 10, 2006 as a road dog.
4690 7.8 0.2 260 279 48.2 The Predators are 260-279-59 AGAINST since Dec 04, 2006 as a favorite.
3490 8.5 0.1 173 189 47.8 The Predators are 173-189-48 AGAINST since Jan 13, 2008 as a home favorite.
1560 14.3 0.0 46 56 45.1 The Predators are 46-56-7 AGAINST since Mar 20, 2017 at home.
570 63.3 -0.5 2 7 22.2 The Predators are 2-7 AGAINST since Jan 21, 2019 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).