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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 wins losses % link
3494 8.5 93 174 34.8 The Devils are 93-174 AGAINST since Jun 11, 2012 as a dog
1905 17.9 26 53 32.9 The Devils are 26-53 AGAINST since Jan 26, 2014 as a home dog
1344 6.2 85 100 45.9 The Devils are 85-100 AGAINST since Feb 12, 2013 at home
1180 23.5 22 28 44.0 The Devils are 22-28 AGAINST since Jan 14, 2010 as a road favorite
621 24.3 3 11 21.4 The Devils are 3-11 AGAINST since Feb 19, 2017 on the road
521 21.3 3 10 23.1 The Devils are 3-10 AGAINST since Feb 19, 2017 as a road dog
1248 20.3 31 14 68.9 The Devils are 31-14 ON since Jan 03, 2015 as a favorite
1050 12.0 41 23 64.1 The Devils are 41-23 ON since Jan 09, 2014 as a home favorite
544 85.8 5 1 83.3 The Devils are 5-1 ON since Oct 07, 2017

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).