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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 wins losses % link
9220 9.8 427 472 47.5 The Blue Jackets are 427-472-46 AGAINST since Oct 06, 2006
5530 12.2 201 233 46.3 The Blue Jackets are 201-233-19 AGAINST since Dec 31, 2006 at home
4020 8.5 215 232 48.1 The Blue Jackets are 215-232-25 AGAINST since Oct 14, 2006 on the road
3120 10.3 136 152 47.2 The Blue Jackets are 136-152-14 AGAINST since Feb 18, 2007 as a favorite
2240 9.0 114 124 47.9 The Blue Jackets are 114-124-10 AGAINST since Feb 18, 2007 as a home favorite
1130 28.2 14 23 37.8 The Blue Jackets are 14-23-3 AGAINST since Mar 23, 2014 as a road favorite
950 10.7 45 40 52.9 The Blue Jackets are 45-40-4 ON since Dec 15, 2015 as a dog
620 32.6 12 7 63.2 The Blue Jackets are 12-7 ON since Apr 20, 2017 as a road 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).