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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 on,SDB's sample ou against,SDB's sample ou on
$ ROI Margin wins losses % link
5720 12.2 0.1 209 242 46.3 The Blue Jackets are 209-242-19 AGAINST since Dec 31, 2006 at home
2320 8.8 0.1 122 132 48.0 The Blue Jackets are 122-132-10 AGAINST since Feb 18, 2007 as a home favorite
840 18.7 0.1 18 24 42.9 The Blue Jackets are 18-24-3 AGAINST since Mar 23, 2014 as a road favorite
500 29.4 0.4 6 10 37.5 The Blue Jackets are 6-10-1 AGAINST since Mar 11, 2016 as a home dog
3840 8.1 0.4 234 219 51.7 The Blue Jackets are 234-219-21 ON since Mar 05, 2009 as a dog
3630 9.4 0.3 193 176 52.3 The Blue Jackets are 193-176-19 ON since Jan 02, 2009 on the road
3230 9.9 0.3 163 147 52.6 The Blue Jackets are 163-147-15 ON since Jan 18, 2009 as a road dog
1530 46.4 1.3 23 10 69.7 The Blue Jackets are 23-10 ON since Feb 26, 2018

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).