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 on,SDB's sample ou against,SDB's sample ou on
$ ROI Margin wins losses % link
15310 16.6 -0.1 343 451 43.2 The Kings are 343-451-126 AGAINST since Mar 02, 2008
9660 18.8 -0.1 185 256 42.0 The Kings are 185-256-74 AGAINST since Jan 15, 2007 on the road
7320 19.9 -0.2 138 192 41.8 The Kings are 138-192-38 AGAINST since Jan 15, 2007 as a road dog
6970 15.6 -0.0 180 227 44.2 The Kings are 180-227-41 AGAINST since Jan 15, 2007 as a dog
1800 19.4 0.5 50 37 57.5 The Kings are 50-37-6 ON since Nov 01, 2006 as a home dog
950 21.1 0.2 25 18 58.1 The Kings are 25-18-2 ON since Dec 05, 2017 as a favorite
930 9.8 0.1 43 38 53.1 The Kings are 43-38-14 ON since Nov 17, 2016 at home
580 17.6 0.0 18 14 56.2 The Kings are 18-14-1 ON since Jan 06, 2018 as a home 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
e-mail links:   Content@SportsDataBase.com    Support@SportsDataBase.com   
Content for this site is generated using the Sports Data Query Language (SDQL).