Note: This site will be discontinued as of September 1, 2021.
SDQL3 access will continue with user input data at

Winning picks from SDQL masters.
S p o r t s D a t a b a s e . c o m
tools for the objective handicapper


NFL Trends SDB Home    NFL Trends    NFL Query
Include trends from SDB's sample ats SDB's sample ou SDB's sample su guest's web all guest's web ou active on filter on
Trends from guest's web ou,SDB's sample ou,guest's web ou,SDB's sample ou
p val wins losses % link
0.000254 7 28 20.0 The Steelers are 7-28-2 OU (-6.23 ppg) since Oct 13, 2013 as a road favorite.
0.062500 4 0 100.0 The Steelers are 4-0 OU (12.12 ppg) since Dec 21, 2020.
0.062500 1 6 14.3 The Steelers are 1-6 OU (-7.36 ppg) since Oct 01, 2015 as a home dog.
0.089783 4 10 28.6 The Steelers are 4-10-1 OU (-3.50 ppg) since Jan 17, 2016 as a road dog.
0.071732 5 12 29.4 team = Steelers and site = away and season > 2010
0.500000 8 7 53.3 team = Steelers and site = home and season > 2010

Trend Parameters: active, english, losses, margin, pushes, pval, 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 for this site is generated using the Sports Data Query Language (SDQL).