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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
6240 13.7 184 224 45.1 The Panthers are 184-224-46 AGAINST since Oct 07, 2006 on the road
4750 11.9 167 195 46.1 The Panthers are 167-195-38 AGAINST since Oct 07, 2006 as a road dog
1460 30.4 14 26 35.0 The Panthers are 14-26-8 AGAINST since Mar 08, 2007 as a road favorite
710 44.4 5 11 31.2 The Panthers are 5-11 AGAINST since Nov 07, 2017
690 57.5 3 9 25.0 The Panthers are 3-9 AGAINST since Nov 07, 2017 as a dog
2030 15.4 63 49 56.2 The Panthers are 63-49-20 ON since Mar 19, 2011 as a home favorite
1960 14.3 66 53 55.5 The Panthers are 66-53-18 ON since Nov 08, 2014 at home
1120 28.0 22 13 62.9 The Panthers are 22-13-5 ON since Nov 14, 2014 as a home dog
740 30.8 14 8 63.6 The Panthers are 14-8-2 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).