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Re: Major Potential Shift In NCAA Transfer Rules

PostPosted: Thu Sep 21, 2017 2:11 am
by UMaine
Bob Walsh‏Verified account @CoachBobWalsh
Bob Walsh Retweeted AthleticDirectorU
So much of what we think is happening with transfers isn't true.



AthleticDirectorU‏ @AD_University
AthleticDirectorU presents the most comprehensive analysis of college basketball transfers ever. http://athleticdirectoru.com/articles/i ... -movement/


Investigating College Basketball’s Transfer Movement
...Nearly 60% of transfers, instead of joining other D-I teams, have left D-I basketball completely since the 2012 offseason. Then comes Conference USA, which has added 92 players. The ACC leads all power conference teams with 83 players transferring into the conference over the last six years. Only three players have transferred to Ivy schools.

The idea that college basketball players tend to transfer to better teams is almost entirely a myth. When plotting team’s net players lost and gained via transfer along with each team’s SRS rating over the same period, the R-squared linear correlation was just 0.10765. This means just over 10% of the data can be explained by the linear regression. Or, in simple terms, there is almost no correlation between the amount of players lost or gained via transfer and team strength whatsoever. The same can be said for both players transferring from programs (R-squared of 0.05429) and players transferring to programs (R-squared of 0.02242). This also supports the previous pie chart, which showed that nearly three in five transfers leave D-I basketball entirely.

http://athleticdirectoru.com/articles/i ... -movement/

Re: Major Potential Shift In NCAA Transfer Rules

PostPosted: Fri Sep 22, 2017 9:23 am
by TAL1957
UMaine wrote:Investigating College Basketball’s Transfer Movement
...Nearly 60% of transfers, instead of joining other D-I teams, have left D-I basketball completely since the 2012 offseason. ......
The idea that college basketball players tend to transfer to better teams is almost entirely a myth. When plotting team’s net players lost and gained via transfer along with each team’s SRS rating over the same period, the R-squared linear correlation was just 0.10765. This means just over 10% of the data can be explained by the linear regression. Or, in simple terms, there is almost no correlation between the amount of players lost or gained via transfer and team strength whatsoever. The same can be said for both players transferring from programs (R-squared of 0.05429) and players transferring to programs (R-squared of 0.02242). This also supports the previous pie chart, which showed that nearly three in five transfers leave D-I basketball entirely.

http://athleticdirectoru.com/articles/i ... -movement/
Well there it is !! Pretty Hard to argue with this kind of R-squared linear correlation analyses !! :o :lol: :lol: