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Another thread got me thinking of different philosophies vis a vis the salary cap, which led me to compare some scatter plots derived from the numbers on Miguel's page, to scatter plots derived from ColtsCap, to which he links.
My eyes were opened. I do not say either approach is superior. We are looking at the two premier franchises in football. The Colts are the reigning champs, and the Pats have won 3 times in 6 years (but we're 2 removed from making a showing.)
I do say that, whether taking full rosters, full rosters down to # 53, or full rosters down to 53 at the bottom and kicking out the #1 salary at the top, these two teams' cap hits arrange themselves very differently.
This is a different discussion from "The top 3 players eat up X%." This goes to the top-to-bottom structure.
It is also a one-season (offseason at that), quick and dirty study.
But what you see if you plot them in excel, is a curve for the Pats - gentler if you remove Brady and some JAGS (the "2-53" method,) somewhat more bowed otherwise.
The Colts show a very sharp bow, almost a right angle, occuring somewhere south of the $2M mark. Where the Pats have a smoother progression, the Colts start having a smaller number of higher salaries.
By the way, their chart-topper by present counts is Freeney, followed by Harrison, and only then, Manning. Ours is far and away Tom Brady.
The comparison is striking, and I would urge anybody making statements about structures pursued by the teams to repeat the experiment, and look at the shape of the scatters. I am not saying one is better, or one is worse.
I am only saying, if we are able to collect data for, say, 5 years, and these curves bear out over time, it will make sense to talk about a Pioli Curve and a Polian Curve, or at least to think of them as having distinct philosophies with distinct implications.
I may come back to this when I don't have quite as much on my plate, but Miguel, I think throwing those scatterplots up using Top 53 players, would be cool for you and your capologist buddies... you'd be able to compare structures at a glance. Hopefully with a little coaxing, Excel will layer them on one single chart.
PFnV
My eyes were opened. I do not say either approach is superior. We are looking at the two premier franchises in football. The Colts are the reigning champs, and the Pats have won 3 times in 6 years (but we're 2 removed from making a showing.)
I do say that, whether taking full rosters, full rosters down to # 53, or full rosters down to 53 at the bottom and kicking out the #1 salary at the top, these two teams' cap hits arrange themselves very differently.
This is a different discussion from "The top 3 players eat up X%." This goes to the top-to-bottom structure.
It is also a one-season (offseason at that), quick and dirty study.
But what you see if you plot them in excel, is a curve for the Pats - gentler if you remove Brady and some JAGS (the "2-53" method,) somewhat more bowed otherwise.
The Colts show a very sharp bow, almost a right angle, occuring somewhere south of the $2M mark. Where the Pats have a smoother progression, the Colts start having a smaller number of higher salaries.
By the way, their chart-topper by present counts is Freeney, followed by Harrison, and only then, Manning. Ours is far and away Tom Brady.
The comparison is striking, and I would urge anybody making statements about structures pursued by the teams to repeat the experiment, and look at the shape of the scatters. I am not saying one is better, or one is worse.
I am only saying, if we are able to collect data for, say, 5 years, and these curves bear out over time, it will make sense to talk about a Pioli Curve and a Polian Curve, or at least to think of them as having distinct philosophies with distinct implications.
I may come back to this when I don't have quite as much on my plate, but Miguel, I think throwing those scatterplots up using Top 53 players, would be cool for you and your capologist buddies... you'd be able to compare structures at a glance. Hopefully with a little coaxing, Excel will layer them on one single chart.
PFnV
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