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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
5900 13.1 183 220 45.4 The Panthers are 183-220-46 AGAINST since Oct 07, 2006 on the road
1460 30.4 14 26 35.0 The Panthers are 14-26-8 AGAINST since Mar 08, 2007 as a road favorite
550 19.6 11 15 42.3 The Panthers are 11-15-2 AGAINST since Dec 16, 2016 as a road dog
2130 8.2 113 103 52.3 The Panthers are 113-103-43 ON since Nov 08, 2014
2020 15.5 62 48 56.4 The Panthers are 62-48-20 ON since Mar 19, 2011 as a home favorite
1930 14.7 63 50 55.8 The Panthers are 63-50-18 ON since Nov 08, 2014 at home
1870 11.1 77 66 53.8 The Panthers are 77-66-25 ON since Jan 20, 2014 as a dog
1000 27.0 20 12 62.5 The Panthers are 20-12-5 ON since Nov 14, 2014 as a home dog
730 33.2 13 7 65.0 The Panthers are 13-7-2 ON since Jan 13, 2017 as a favorite

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).