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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 ml on,SDB's sample ml on
$ ROI wins losses % link
1716 14.5 56 36 60.9 The Predators are 56-36 ON since Jan 10, 2017
1634 26.7 31 10 75.6 The Predators are 31-10 ON since Feb 23, 2017 as a favorite
1516 12.5 54 27 66.7 The Predators are 54-27 ON since Mar 17, 2016 at home
1351 24.5 27 9 75.0 The Predators are 27-9 ON since Feb 23, 2017 as a home favorite
639 63.3 8 2 80.0 The Predators are 8-2 ON since Mar 30, 2014 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).