Schnoodler
Ice Cream Abuser
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Well it's time. The Big Ten season is over, the final records are in. Now it's time to compare the teams performance against the strength of their rosters. Why do I do this? Because it's useful when analyzing how a coach is doing. Is he taking average recruits and winning, or is he taking great recruits and losing. Just how have they faired given the talent on their rosters?
For those not following along, I have (and others too) created a formula using rivals rr values and four classes to develop a strength of roster number. It does not factor in such things as transfers, or departures, just using straight reported recruits on the rivals site. For instance some highly ranked recruits never show, and some redshirt thus throwing off the accuracy of the numbers. However, the numbers continue to be quite predictive and so usefull. I weight the classes by seniority, thus the senior class is weighted more highly than a freshman class as the senior class will impact on field results more. Hopefully we all know that.
The degree to which each class should be weighted could be argued but to be honest when I played around with it it made little difference as long as they were weighted. If the sample size were increased say to the entire FBS a more precise weighting would be more critical. So far in my Big Ten analysis it hasn't created a situation that would change the ranking order so I'm sticking with it the way it is. Feel free to come up with your own. I don't use the rivals team rankings as it creates too much disparity, although that would probably work as well and be simpler. Using number tricks to creat a tighter number range would probably work just as well. I create my own using their rr values instead.
so here they are:
OSU.....86......E
Mich.....83......-7
PSU......76.....E
Ill.........69.....-5
Wisc.....62.....E
MSU.....60.....E
Iowa.....58.....+5
Minn......57....E
Purd......51.....+2
NW.......44.....+6
Ind.......39.....E
So from this the coaching winners are Iowa, northwestern and to a smaller extent Purdue.
The coaching losers are Illinois and Michigan. All other teams finished right where expected.
For those not following along, I have (and others too) created a formula using rivals rr values and four classes to develop a strength of roster number. It does not factor in such things as transfers, or departures, just using straight reported recruits on the rivals site. For instance some highly ranked recruits never show, and some redshirt thus throwing off the accuracy of the numbers. However, the numbers continue to be quite predictive and so usefull. I weight the classes by seniority, thus the senior class is weighted more highly than a freshman class as the senior class will impact on field results more. Hopefully we all know that.
The degree to which each class should be weighted could be argued but to be honest when I played around with it it made little difference as long as they were weighted. If the sample size were increased say to the entire FBS a more precise weighting would be more critical. So far in my Big Ten analysis it hasn't created a situation that would change the ranking order so I'm sticking with it the way it is. Feel free to come up with your own. I don't use the rivals team rankings as it creates too much disparity, although that would probably work as well and be simpler. Using number tricks to creat a tighter number range would probably work just as well. I create my own using their rr values instead.
so here they are:
OSU.....86......E
Mich.....83......-7
PSU......76.....E
Ill.........69.....-5
Wisc.....62.....E
MSU.....60.....E
Iowa.....58.....+5
Minn......57....E
Purd......51.....+2
NW.......44.....+6
Ind.......39.....E
So from this the coaching winners are Iowa, northwestern and to a smaller extent Purdue.
The coaching losers are Illinois and Michigan. All other teams finished right where expected.