tag:blogger.com,1999:blog-2893512317902577458.post4097847637668903222..comments2024-01-06T02:22:33.000-05:00Comments on Camden Depot: You are what your record says you are?Jon Shepherdhttp://www.blogger.com/profile/03521809778977098687noreply@blogger.comBlogger3125tag:blogger.com,1999:blog-2893512317902577458.post-17409456064813211972012-07-25T10:28:25.670-04:002012-07-25T10:28:25.670-04:00I did a similar calculation with all the teams sol...I did a similar calculation with all the teams solely for win percentage from 2000-2011. Getting the run data would simply take too long. <br /><br />Two differences: Instead of first half, I did a teams April, May and June record vs their July, August and September. I don't think this matters.<br /><br />I didn't get the number of games played per month so I have to assume each month has about the same number of games. This isn't ideal but probably won't matter.<br /><br />I got an r^2 of .2311 for win percentage which means that the correlation (r) is .48075. <br /><br />I also did a comparison of a team's record from the start of the season to July and the record in August and Sept. <br /><br />I got an r^2 of .2727 and an r of .5224. <br /><br />On the positive side, the correlation between a seasons record and their record at this point was .912 (r^2 of .83). That means that the wins the Os have should be considered in the book at this point.Matt Pnoreply@blogger.comtag:blogger.com,1999:blog-2893512317902577458.post-32175015261477163252012-07-24T13:23:14.124-04:002012-07-24T13:23:14.124-04:00Later...y-axis is 1st half metric and x-axis is 2n...Later...y-axis is 1st half metric and x-axis is 2nd half wins.Jon Shepherdhttps://www.blogger.com/profile/03521809778977098687noreply@blogger.comtag:blogger.com,1999:blog-2893512317902577458.post-9995111988695525612012-07-24T12:48:31.469-04:002012-07-24T12:48:31.469-04:00Can you label your axes? Not sure what exactly I&#...Can you label your axes? Not sure what exactly I'm looking at.Anonymousnoreply@blogger.com