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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
0.000000 27 0 100.0 CLEM is 27-0 SU since Sep 01, 2018.
0.000000 25 0 100.0 CLEM is 25-0 SU since Nov 22, 2014 off a road game.
0.000000 25 0 100.0 CLEM is 25-0 SU since Sep 08, 2018 off a win.
0.000000 23 0 100.0 CLEM is 23-0 SU since Oct 03, 2015 off a road game 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).