Winning Picks, Guaranteed
S p o r t s D a t a b a s e . c o m
tools    for    the    objective    handicapper


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 SDB's sample su active on filter on
Trends from SDB's sample ou against,SDB's sample ou against
$ ROI wins losses % link
8250 8.7 396 435 47.7 The Canucks are 396-435-116 AGAINST since Oct 05, 2006
5440 10.0 225 254 47.0 The Canucks are 225-254-65 AGAINST since Oct 20, 2006 as a favorite
5210 10.9 191 221 46.4 The Canucks are 191-221-64 AGAINST since Oct 16, 2006 at home
4590 17.9 96 129 42.7 The Canucks are 96-129-32 AGAINST since Oct 17, 2009 as a home favorite
1290 12.5 41 49 45.6 The Canucks are 41-49-13 AGAINST since Dec 12, 2010 as a road favorite
610 13.6 17 21 44.7 The Canucks are 17-21-7 AGAINST since Dec 22, 2016 as a 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).