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 SDB's sample su,SDB's sample su
p val wins losses % link
0.000015 16 0 100.0 The Patriots are 16-0 since Oct 22, 2017 at home
0.000122 13 0 100.0 The Patriots are 13-0 since Oct 22, 2017 at home off a win
0.000977 10 0 100.0 The Patriots are 10-0 since Dec 04, 2016 at home off a road game
0.003906 8 0 100.0 The Patriots are 8-0 since Dec 04, 2016 at home off a road game off a win
0.003906 8 0 100.0 The Patriots are 8-0 since Oct 29, 2017 at home off a home game off a win
0.003906 8 0 100.0 The Patriots are 8-0 since Oct 29, 2017 at home off a home game
0.007813 7 0 100.0 The Patriots are 7-0 since Dec 23, 2012 off a home game off a loss
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).