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
10930 11.4 0.1 400 463 46.3 The Panthers are 400-463-98 AGAINST since Oct 07, 2006
3340 11.0 0.1 125 144 46.5 The Panthers are 125-144-34 AGAINST since Mar 08, 2007 as a favorite
1700 31.5 -0.5 16 30 34.8 The Panthers are 16-30-8 AGAINST since Mar 08, 2007 as a road favorite
960 38.4 -0.6 8 16 33.3 The Panthers are 8-16-1 AGAINST since Dec 23, 2017 at home
790 13.9 0.1 24 29 45.3 The Panthers are 24-29-4 AGAINST since Apr 15, 2016 as a home favorite
1040 23.1 0.5 24 16 60.0 The Panthers are 24-16-5 ON since Nov 14, 2014 as a home dog
810 47.6 1.1 11 4 73.3 The Panthers are 11-4-2 ON since Dec 17, 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).