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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 against,SDB's sample ml on,SDB's sample ml against,SDB's sample ml on
$ ROI Margin wins losses % link
709 41.7 -0.5 8 9 47.1 The Predators are 8-9 AGAINST since Mar 22, 2018 as a favorite
597 42.6 -0.5 7 7 50.0 The Predators are 7-7 AGAINST since Mar 10, 2018 at home
597 42.6 -0.5 7 7 50.0 The Predators are 7-7 AGAINST since Mar 10, 2018 as a home favorite
1563 16.4 0.4 48 36 57.1 The Predators are 48-36 ON since Dec 19, 2016 on the road
951 16.1 0.1 31 28 52.5 The Predators are 31-28 ON since Dec 20, 2016 as a dog
883 36.8 0.5 15 9 62.5 The Predators are 15-9 ON since Oct 19, 2017 as a road dog
812 21.3 1.0 19 8 70.4 The Predators are 19-8 ON since Dec 19, 2016 as a road favorite
639 63.3 0.6 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).