Information you need to win
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 on,SDB's sample ou against,SDB's sample ou on
$ ROI Margin wins losses % link
15070 16.9 -0.1 330 437 43.0 The Kings are 330-437-126 AGAINST since Mar 02, 2008
9080 18.0 -0.1 182 248 42.3 The Kings are 182-248-74 AGAINST since Jan 15, 2007 on the road
6850 19.1 -0.1 135 185 42.2 The Kings are 135-185-38 AGAINST since Jan 15, 2007 as a road dog
6780 15.7 -0.0 172 218 44.1 The Kings are 172-218-41 AGAINST since Jan 15, 2007 as a dog
6720 15.6 -0.1 166 212 43.9 The Kings are 166-212-53 AGAINST since Oct 30, 2008 at home
1030 54.2 1.6 13 4 76.5 The Kings are 13-4-2 ON since Jan 19, 2010 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).