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NCAAFB Trends SDB Home    NCAAFB Trends    NCAAFB Query
Include trends from SDB's sample ats SDB's sample ou SDB's sample su guest's web all active on filter on
Trends from SDB's sample su,SDB's sample su
p val wins losses % link
0.000004 18 0 100.0 ALA is 18-0 since Sep 26, 2015 at home
0.000008 17 0 100.0 ALA is 17-0 since Oct 10, 2015 at home off a win
0.000015 16 0 100.0 ALA is 16-0 since Sep 21, 2013 off a road game off a win
0.000061 14 0 100.0 ALA is 14-0 since Oct 11, 2014 off a road game
0.000122 13 0 100.0 ALA is 13-0 since Sep 21, 2013 at home off a road game off a win
0.000122 13 0 100.0 ALA is 13-0 since Sep 21, 2013 at home off a road game
0.000977 10 0 100.0 ALA is 10-0 since Sep 02, 2017
0.001953 9 0 100.0 ALA is 9-0 since Sep 09, 2017 off a win

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).