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Updated College Prospect Ratings
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Bonn1997
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3/15/2015  7:16 AM
http://www.basketballanalyticsbook.com/2015/03/13/updated-college-prospect-ratings-cpr/
Russell: 10.9
Okafor: 9.2
Looney: 8.2
Turner: 7.1
Towns: 5.8
Jones: 5.6
Wood: 5.6
Portis: 5.5
Johnson: 5.1
Hunter: 4.7

A player above 10.0 has never been a bust since these stats were recorded (other than Oden who played well but was always injured). Towns has rapidly climbed throughout the year.

AUTOADVERT
yellowboy90
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3/15/2015  10:14 AM
Box score analytics?
VCoug
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3/15/2015  10:18 AM
Nice to see Towns moving up their board. I wish they had a historical database so we could compare previous drafts and players.
Now the joy of my world is in Zion How beautiful if nothing more Than to wait at Zion's door I've never been in love like this before Now let me pray to keep you from The perils that will surely come
Bonn1997
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3/15/2015  10:22 AM    LAST EDITED: 3/15/2015  10:23 AM
VCoug wrote:Nice to see Towns moving up their board. I wish they had a historical database so we could compare previous drafts and players.

So do I. Stephen Shea is doing the calculating himself and apparently it takes a long time to go back to get all the data from players.
He does discuss previous players' data here and in many other articles though:
http://www.basketballanalyticsbook.com/2014/12/11/midseason-college-prospect-rating-cpr-for-2015-draft-class/
Towns is moving up but he's still way behind Okafor and Russell. In the end, it's just one more source, not the definitive source.
yellowboy90
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3/15/2015  10:35 AM
Anthony Davis ranked below everyone on that list or am I missing something. Also how does minutes played impact his calculations. He says he uses full game data but how does that hurt a player like Towns who only plays 20+ minutes?
Bonn1997
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3/15/2015  10:44 AM
Anthony Davis was one of the highest ever. Note that he's in the 10+ group. Shea describes the full formula in his book, though. He has a PhD and I can't imagine that he would forget that the data need to be adjusted for playing time. He has written that it's hard to interpret Towns' #s for the reasons you described.
yellowboy90
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3/15/2015  11:01 AM
Bonn1997 wrote:Anthony Davis was one of the highest ever. Note that he's in the 10+ group. Shea describes the full formula in his book, though. He has a PhD and I can't imagine that he would forget that the data need to be adjusted for playing time. He has written that it's hard to interpret Towns' #s for the reasons you described.

Maybe I am not reading it right or he adjusted it. I'm just trying to get a better understanding.


As suggested above, CPR downplays inconsistency and focuses on elite potential as captured through elite college performance.

CPR uses the following inputs: projected NBA position, age, class (freshman, sophomore, etc.), 3PA, 3PM, FTA, FTM, ORB, DRB, AST, STL, BLK, and PTS. For the performance stats (3PA, 3PM, etc.), full game-log data is used.

This is why I asked about if less minutes impact his rating.

Bonn1997
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3/15/2015  11:05 AM
yellowboy90 wrote:
Bonn1997 wrote:Anthony Davis was one of the highest ever. Note that he's in the 10+ group. Shea describes the full formula in his book, though. He has a PhD and I can't imagine that he would forget that the data need to be adjusted for playing time. He has written that it's hard to interpret Towns' #s for the reasons you described.

Maybe I am not reading it right or he adjusted it. I'm just trying to get a better understanding.


As suggested above, CPR downplays inconsistency and focuses on elite potential as captured through elite college performance.

CPR uses the following inputs: projected NBA position, age, class (freshman, sophomore, etc.), 3PA, 3PM, FTA, FTM, ORB, DRB, AST, STL, BLK, and PTS. For the performance stats (3PA, 3PM, etc.), full game-log data is used.

This is why I asked about if less minutes impact his rating.


OK - then I don't know the answer to your questions. Where did you get that table from? Was that at the end of the season? Something doesn't look right. Maybe there's an adjustment. He's listed AD as 10+ in all the examples I've seen.
yellowboy90
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3/15/2015  11:09 AM
Bonn1997 wrote:
yellowboy90 wrote:
Bonn1997 wrote:Anthony Davis was one of the highest ever. Note that he's in the 10+ group. Shea describes the full formula in his book, though. He has a PhD and I can't imagine that he would forget that the data need to be adjusted for playing time. He has written that it's hard to interpret Towns' #s for the reasons you described.

Maybe I am not reading it right or he adjusted it. I'm just trying to get a better understanding.


As suggested above, CPR downplays inconsistency and focuses on elite potential as captured through elite college performance.

CPR uses the following inputs: projected NBA position, age, class (freshman, sophomore, etc.), 3PA, 3PM, FTA, FTM, ORB, DRB, AST, STL, BLK, and PTS. For the performance stats (3PA, 3PM, etc.), full game-log data is used.

This is why I asked about if less minutes impact his rating.


OK - then I don't know the answer to your questions. Where did you get that table from? Was that at the end of the season? Something doesn't look right. Maybe there's an adjustment. He's listed AD as 10+ in all the examples I've seen.

I got that from the older posts. I belive this is from his introductory post of CPR.

http://www.basketballanalyticsbook.com/2014/06/04/college-prospect-ratings-cpr/

Also, I did a little more research and...

http://www.basketballanalyticsbook.com/2015/02/20/updated-midseason-college-prospect-ratings-cpr-russell-and-okafor-on-top/

While we’re on Towns, the remarkable collection of talent in Kentucky diminishes all of their players’ CPR scores. CPR looks for transcendent performances, instances where players have taken over college games. Kentucky doesn’t need any 1 of their players to ever do that. (I’m currently working on possible revisions to CPR that would better account for a situation like Kentucky’s.)
Bonn1997
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3/15/2015  11:10 AM
yellowboy90 wrote:
Bonn1997 wrote:
yellowboy90 wrote:
Bonn1997 wrote:Anthony Davis was one of the highest ever. Note that he's in the 10+ group. Shea describes the full formula in his book, though. He has a PhD and I can't imagine that he would forget that the data need to be adjusted for playing time. He has written that it's hard to interpret Towns' #s for the reasons you described.

Maybe I am not reading it right or he adjusted it. I'm just trying to get a better understanding.


As suggested above, CPR downplays inconsistency and focuses on elite potential as captured through elite college performance.

CPR uses the following inputs: projected NBA position, age, class (freshman, sophomore, etc.), 3PA, 3PM, FTA, FTM, ORB, DRB, AST, STL, BLK, and PTS. For the performance stats (3PA, 3PM, etc.), full game-log data is used.

This is why I asked about if less minutes impact his rating.


OK - then I don't know the answer to your questions. Where did you get that table from? Was that at the end of the season? Something doesn't look right. Maybe there's an adjustment. He's listed AD as 10+ in all the examples I've seen.

I got that from the older posts. I belive this is from his introductory post of CPR.

http://www.basketballanalyticsbook.com/2014/06/04/college-prospect-ratings-cpr/

Also, I did a little more research and...

http://www.basketballanalyticsbook.com/2015/02/20/updated-midseason-college-prospect-ratings-cpr-russell-and-okafor-on-top/

While we’re on Towns, the remarkable collection of talent in Kentucky diminishes all of their players’ CPR scores. CPR looks for transcendent performances, instances where players have taken over college games. Kentucky doesn’t need any 1 of their players to ever do that. (I’m currently working on possible revisions to CPR that would better account for a situation like Kentucky’s.)

Yeah, I noticed that too. Shea readily discusses the strengths and limitations of all his methods.
yellowboy90
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3/15/2015  11:14 AM
okay Bonn. I see he adjusted his data
http://www.basketballanalyticsbook.com/2014/12/11/midseason-college-prospect-rating-cpr-for-2015-draft-class/
The new book, Basketball Analytics: Spatial Tracking, presents a slightly revised version. The book also contains the full methodology for the calculations of CPR.

For the book (among other revisions), the players’ CPR scores were rescaled so that it is integer differences in scores that matter (as opposed to decimal differences). For this post, I will use the book’s formula. Thus, the CPR scores presented here will be much larger than those that appeared in previous blog entries. To help with the interpretation, I will present examples from past draft classes.


I was wondering what I was missing. I'll keep reading his post though.

FistOfOakley
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3/15/2015  3:52 PM
i'm not a big fan of his methodology... it certainly is interesting... i'm of the opinion that bad games do matter and a gunner who shoots a ton but has high variance is going to look really good according to this .. which is why rj hunter ranks so high...

an elite player is pretty obvious to suss out even by casual observation... the box score will always reflect this of course so it's not something that proves it one way or another...

Bonn1997
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3/15/2015  4:09 PM
FistOfOakley wrote:i'm not a big fan of his methodology... it certainly is interesting... i'm of the opinion that bad games do matter and a gunner who shoots a ton but has high variance is going to look really good according to this .. which is why rj hunter ranks so high...

an elite player is pretty obvious to suss out even by casual observation... the box score will always reflect this of course so it's not something that proves it one way or another...

Fair point in the first part of your message.
I don't think there would be so many draft busts if the second part was true though.

FistOfOakley
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3/15/2015  4:38 PM    LAST EDITED: 3/15/2015  4:39 PM
players bust for all sorts of reasons... adjusting for class is probably the best part of his methodology.... as a freshman, everyone you play against is older than you... as a senior.. everyone is younger... but you also need to go a bit further and adjust for age and a lot of it isn't readily available unless you're closely following a prospect... oj mayo was actually 20 as a freshman... tim duncan was 16... that's a HUGE difference...

i like weiland since he also does positional adjustments and i think that's the blind spot for all these other draft projections... shea's projections and you can include pelton's in there also... use the same stats weighted the same across positions... this tells you how good they are now but doesn't do well in how they will translate to the pros at their position... assist to TO means one thing for a center and means something else for a pg for example... that's the major reason why his projections are very accurate and he's been doing this for over 10 years...

i've been trying to run my own analysis using a part of weiland's methodology but accounting for age and strength of schedule... the most difficult part is getting accurate data from colleges since there isn't reliable data in one spot.. especially minutes played data... so i definitely sympathize with shea and his issues...

Updated College Prospect Ratings

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