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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
10620 9.7 0.1 468 522 47.3 The Predators are 468-522-104 AGAINST since Dec 04, 2006
6660 11.9 0.1 237 276 46.2 The Predators are 237-276-45 AGAINST since Oct 12, 2006 on the road
6240 12.6 0.1 206 244 45.8 The Predators are 206-244-45 AGAINST since Nov 10, 2006 as a dog
4890 12.1 0.1 170 199 46.1 The Predators are 170-199-35 AGAINST since Nov 10, 2006 as a road dog
4550 7.7 0.2 257 275 48.3 The Predators are 257-275-58 AGAINST since Dec 04, 2006 as a favorite
3570 8.8 0.1 170 187 47.6 The Predators are 170-187-47 AGAINST since Jan 13, 2008 as a home favorite
1640 15.9 0.0 43 54 44.3 The Predators are 43-54-6 AGAINST since Mar 20, 2017 at home

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).