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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
11360 11.2 421 486 46.4 The Sharks are 421-486-105 AGAINST since Oct 07, 2006
8910 11.7 319 371 46.2 The Sharks are 319-371-74 AGAINST since Oct 07, 2006 as a favorite
5920 11.8 207 242 46.1 The Sharks are 207-242-52 AGAINST since Oct 23, 2006 on the road
5530 10.9 212 243 46.6 The Sharks are 212-243-53 AGAINST since Oct 07, 2006 at home
5030 10.2 206 233 46.9 The Sharks are 206-233-52 AGAINST since Oct 07, 2006 as a home favorite
3880 14.2 113 138 45.0 The Sharks are 113-138-22 AGAINST since Oct 23, 2006 as a road favorite
2570 12.8 81 97 45.5 The Sharks are 81-97-23 AGAINST since Feb 17, 2008 as a dog
1880 10.0 78 88 47.0 The Sharks are 78-88-22 AGAINST since Feb 17, 2008 as a road dog
690 53.1 3 9 25.0 The Sharks are 3-9-1 AGAINST since Oct 09, 2010 as a home dog

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).