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


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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
0.010635 13 3 81.2 The Buccaneers are 13-3-1 OU (8.06 ppg) since Dec 24, 2016 on the road
0.019287 10 2 83.3 The Buccaneers are 10-2 OU (7.50 ppg) since Nov 18, 2007 as a road favorite
0.035156 1 7 12.5 The Buccaneers are 1-7 OU (-14.69 ppg) since Dec 11, 2016 as a home favorite
0.046143 10 3 76.9 The Buccaneers are 10-3-1 OU (6.71 ppg) since Dec 24, 2016 as a road dog
0.046143 10 3 76.9 The Buccaneers are 10-3-1 OU (6.36 ppg) since Dec 31, 2017 as a dog
0.150879 5 10 33.3 team = Buccaneers and site = home and season > 2010
0.598190 8 8 50.0 team = Buccaneers 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
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Content for this site is generated using the Sports Data Query Language (SDQL).