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
6280 11.5 0.0 221 258 46.1 The Blues are 221-258-69 AGAINST since Nov 10, 2006 as a favorite
6100 12.1 -0.0 203 240 45.8 The Blues are 203-240-60 AGAINST since Oct 20, 2006 at home
5070 13.7 -0.0 144 177 44.9 The Blues are 144-177-49 AGAINST since Feb 28, 2008 as a home favorite
1030 51.5 -0.4 4 13 23.5 The Blues are 4-13-3 AGAINST since Dec 01, 2010 as a home dog
620 29.5 -0.3 7 12 36.8 The Blues are 7-12-2 AGAINST since Dec 08, 2016 as a road favorite
510 28.3 0.6 11 7 61.1 The Blues are 11-7 ON since Dec 29, 2017 as a road 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).