Team Stats vs. Order of Finish

Submitted by Kilgore Trout on

After someone linked to the bigten.org team stas from the 2009 football season, I got the idea to try to correlate the final standings to the teams ranks in each category.  All I did was copy the final standings into one column, teams ranks in each category in the other, and let excel calculate the correlation with the "correl" function.  So basically, the closer the value is to 1, the closer that stat is in predicting your finish in the final standings. 

 

 

Rush Defense 0.908295
Scoring Defense 0.908295
Opp 1st Downs 0.876184
Opp 3rd Down% 0.867009
Pass Defense Efficiency 0.683515
Time of Possession 0.67434
Red Zone Score% 0.591768
Turnover Margin 0.532407
Sacks Against 0.469845
Scoring Offense 0.458735
Pass Defense 0.453317
Red Zone Def% 0.44956
Sacks By 0.428576
Pass Efficiency 0.408274
First Downs 0.394512
Opp Penalty Yardage 0.333341
Opp 4th Down Conversions 0.306311
Rush Offense 0.296227
Total Offense 0.266066
Penalty Yardage 0.197256
3rd Down Conversions 0.165145
4th Down Conversions 0.142859
Punt Returns -0.00917
Pass Offense -0.21207
Kickoff Returns -0.25611
Punting -0.42204

 

I don't really like how this looks for UM going into next year.  The stats that best correlate with final standings are certainly not our perceived strengths.  I didn't take the time to go back to previous years to get a better sample size, so it could just be a fluke driven by Iowa and Ohio State's success in 2009 and the philosophy they used to get there.  Either way, I thought it was interesting. 

West Texas Blue

May 5th, 2010 at 5:36 PM ^

Surprise, surprise.  Defense rules the day.  Explains why Nebraska  has been able to turn it around so quickly under the Pelini brothers.  Ditto with Alabama.  Just pray to God that Michigan's D is competent this year and becomes good in 2011; all eyes on Greg Robinson now.