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- Sep 15, 2003
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Saw some posts about bye weeks and how we don't do well coming off of them, and how it's the offense and time to prepare. I took a look at all college teams that played more than 100 games in FBS since 2003 and grabbed their record after a bye week and for all other games. Sheet is below, along with a scatterplot to show the relationship.
The regression line is Record After Bye = .7031*(Record in all other games) + .1131. R2 is about .48.
I included a "Predicted Bye Week" using the equation, and also put a "Residual" column in there to show the difference between actual performance and predicted. Positive numbers mean you're doing much better. We do perform pretty badly compared to our winning % in other games. But, so does Oklahoma and LSU.
I'm sure there are issues with the strength of schedule as well as whether you're in a Big 6 conference or not. No time to delve into that.
The regression line is Record After Bye = .7031*(Record in all other games) + .1131. R2 is about .48.
I included a "Predicted Bye Week" using the equation, and also put a "Residual" column in there to show the difference between actual performance and predicted. Positive numbers mean you're doing much better. We do perform pretty badly compared to our winning % in other games. But, so does Oklahoma and LSU.
I'm sure there are issues with the strength of schedule as well as whether you're in a Big 6 conference or not. No time to delve into that.
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