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


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
0.000656 16 2 88.9 The Packers are 16-2 OU (6.92 ppg) since Oct 30, 2016 on the road
0.000937 27 8 77.1 The Packers are 27-8 OU (2.81 ppg) since Oct 30, 2016
0.001953 9 0 100.0 The Packers are 9-0 OU (6.61 ppg) since Jan 15, 2017 as a road dog
0.008317 25 10 71.4 The Packers are 25-10 OU (5.73 ppg) since Jan 15, 2011 as a dog
0.024521 13 4 76.5 The Packers are 13-4 OU (2.47 ppg) since Nov 06, 2016 as a favorite
0.032715 9 2 81.8 The Packers are 9-2 OU (5.45 ppg) since Nov 08, 2015 as a road favorite
0.089844 7 2 77.8 The Packers are 7-2 OU (0.61 ppg) since Dec 24, 2016 as a home favorite
0.048126 13 5 72.2 team = Packers and site = home and season > 2010
0.598190 8 8 50.0 team = Packers and site = away 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@SportsDataBase.com    Support@SportsDataBase.com   
Content for this site is generated using the Sports Data Query Language (SDQL).