No, not a political post. I was having a discussion at Extreme Skins and found myself compiling data on coaches who joined the league over the past three years and remain. What I gathered:
Coach in City, Tenure, Record, Improved record Y/N +/-, Postseasons
And then I ranked those coaches in a completely subjective and fairly uncritical manner based on the data immediately in front of my face. I would appreciate reader(s) input on my organization as well as whether the data is relevant to anything in general. See below:
Lovie Smith in Chicago, three years, 29-19, Yes +6, 2
Sean Payton in NO, one year, 10-6, Yes +7, 1
Eric Mangini in NYJ, one year, 10-6, Yes +6, 1
Tom Coughlin in NYG, three years, 25-23, Yes +4, 2
Joe Gibbs in Wash, three years, 21-27, No +0, 1
Mike McCarthy in GB, one year, 8-8, Yes +4, 0
Herman Edwards in KC, one year, 9-7, No -1, 1
Scott Linehan in St. Louis, one year, 8-8, Yes +2, 0
Mike Nolan in San Fran, two years, 11-21, Yes +5, 0
Gary Kubiak in Houston, one year, 6-10, Yes +4, 0
Dick Jauron in Buffalo, one year, 7-9, Yes +2, 0
Romeo Crennel in Cleveland, two years, 10-22, No +0, 0
Rod Marinelli in Detroit, one year, 3-13, No -2, 0
Brad Childress in Minn, one year, 6-10, No -3, 0
Per an Extreme Skin poster's request, here is the same list organized thus:
Coach in City record (winning %) [previous coach's winning %] <difference>
Lovie Smith in Chicago 29-19 (.604) [.438] <166>
Sean Payton in NO 10-6 (.625) [.469] <156>
Eric Mangini in NYJ 10-6 (.625) [.488] <137>
Gary Kubiak in Houston 6-10 (.375) [.281] <94>
Joe Gibbs, 21-27 (.438) [.375] <63>
Mike Nolan in San Fran 11-21 (.344) [.281] <63>
Herman Edwards in KC 9-7 (.563) [.550] <13>
Tom Coughlin in NYG 25-23 (.520) [.518] <2>
Dick Jauron in Buffalo 7-9 (.438) [.438] <0>
Romeo Crennel in Cleveland 10-22 (.313) [.391] <-78>
Mike McCarthy in GB 8-8 (.500) [.594] <-94>
Scott Linehan in St. Louis 8-8 (.500) [.594] <-94>
Brad Childress in Minn 6-10 (.375) [.500] <-125>
Rod Marinelli in Detroit 3-13 (.188) [.333] <-145>
I invite any reader(s) inferences from the above data. I'm not ready to jump towards conclusions just yet, though let me know if anything leaps off the page at you.