A crowd-sourced stats provider. 		S p o r t s D a t a b a s e . c o m
agile access to sports data


name
password

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 active on filter on
Trends from SDB's sample ou against,SDB's sample ou against
$ ROI Margin wins losses % link
16390 15.8 -0.1 407 519 44.0 The Kings are 407-519-113 AGAINST since Mar 02, 2008.
9350 19.0 -0.2 176 245 41.8 The Kings are 176-245-72 AGAINST since Jan 28, 2010 as a favorite.
7850 15.6 -0.1 202 255 44.2 The Kings are 202-255-47 AGAINST since Oct 30, 2008 at home.
7750 13.8 0.0 236 285 45.3 The Kings are 236-285-41 AGAINST since Jan 15, 2007 as a dog.
7680 21.3 -0.2 130 188 40.9 The Kings are 130-188-43 AGAINST since Feb 11, 2010 as a home favorite.
980 33.8 -0.4 10 18 35.7 The Kings are 10-18-1 AGAINST since Nov 05, 2019 on the road.
970 35.9 -0.4 9 17 34.6 The Kings are 9-17-1 AGAINST since Nov 05, 2019 as a road dog.
570 17.3 -0.1 13 17 43.3 The Kings are 13-17-3 AGAINST since Mar 05, 2019 as a home 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
e-mail links:   Content@SportsDataBase.com    Support@SportsDataBase.com   
Content for this site is generated using the Sports Data Query Language (SDQL).