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PER Correlate To Offense/Winning?

 
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KnickerBlogger



Joined: 30 Dec 2004
Posts: 180

PostPosted: Mon Jan 31, 2005 10:51 am    Post subject: PER Correlate To Offense/Winning? Reply with quote

Does anyone have a link to a study with how PER correlates to either offense or winning? I recall one being done, but I think it was on APBR_analysis, which is for all purposes non-searchable.

Thanks!
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Ed Küpfer



Joined: 30 Dec 2004
Posts: 785
Location: Toronto

PostPosted: Mon Jan 31, 2005 2:12 pm    Post subject: Re: PER Correlate To Offense/Winning? Reply with quote

KnickerBlogger wrote:
Does anyone have a link to a study with how PER correlates to either offense or winning? I recall one being done, but I think it was on APBR_analysis, which is for all purposes non-searchable.

I don't remember that, but I'll have a look in my inbox. Does PER even make sense at the team level?
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kjb



Joined: 03 Jan 2005
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PostPosted: Mon Jan 31, 2005 2:38 pm    Post subject: Reply with quote

I've used a linear weight measure at the team level, and I know KevinP has tried it as well. The one I used was very simple -- pts + reb + ast + stl + blk - missed FG - missed FT - TOV - PF. Just running the linear measure for the offensive or defensive side didn't correlate well with winning %. BUT, the differential did have a strong correlation with winning %, which makes a lot of sense.
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KnickerBlogger



Joined: 30 Dec 2004
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PostPosted: Mon Jan 31, 2005 3:45 pm    Post subject: Re: PER Correlate To Offense/Winning? Reply with quote

Ed Küpfer wrote:
KnickerBlogger wrote:
Does anyone have a link to a study with how PER correlates to either offense or winning? I recall one being done, but I think it was on APBR_analysis, which is for all purposes non-searchable.

I don't remember that, but I'll have a look in my inbox. Does PER even make sense at the team level?


Good question. I'm at work, so I don't have the equation in front of me. However I think most of the minutes/pace factor stuff would be cancelled out (a multiplier of 1). I vaguely remember someone doing a study like this.

Maybe doing a weighted PER (per minute) could give an approximation of the team's PER?
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jkubatko



Joined: 05 Jan 2005
Posts: 702
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PostPosted: Mon Jan 31, 2005 5:49 pm    Post subject: Re: PER Correlate To Offense/Winning? Reply with quote

KnickerBlogger wrote:
Maybe doing a weighted PER (per minute) could give an approximation of the team's PER?


As Ed said, I'm not sure PER even makes sense at the team level. Regardless, I found the team PER by taking a weighted average of the player PERs. Here are the results (all seasons since 1978):

Code:

  Pearson Correlation Coefficients, N = 698

             WPct         EWPct        offEff

PER       0.82461       0.84050       0.81163


Note that EWpct is expected (or Pythagorean) winning percentage and offEff is offensive efficiency.
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Justin Kubatko
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Last edited by jkubatko on Tue Feb 01, 2005 12:22 am; edited 1 time in total
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gabefarkas



Joined: 31 Dec 2004
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PostPosted: Mon Jan 31, 2005 6:18 pm    Post subject: Reply with quote

does Pearson go from -1 (completely inverse) to 1 (complete correlation)?
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Ed Küpfer



Joined: 30 Dec 2004
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Location: Toronto

PostPosted: Mon Jan 31, 2005 6:29 pm    Post subject: Reply with quote

gabefarkas wrote:
does Pearson go from -1 (completely inverse) to 1 (complete correlation)?

Yes.
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KnickerBlogger



Joined: 30 Dec 2004
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PostPosted: Mon Jan 31, 2005 10:29 pm    Post subject: Re: PER Correlate To Offense/Winning? Reply with quote

jkubatko wrote:
KnickerBlogger wrote:
Maybe doing a weighted PER (per minute) could give an approximation of the team's PER?


As Ed said, I'm not sure PER even makes sense at the team level. Regardless, I found the team PER by taking a weighted average of the player PERs. Here are the results (all seasons since 1978):

Code:

      Pearson Correlation Coefficients, N = 698

                 WPct         EWPct        offEff

    PER       0.82461       0.84050       0.81163


Note that EWpct is expected (or Pythagorean) winning percentage and offEff is offensive efficiency.


That is excellent! Now how good is .81-.84? Very Happy
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Kevin Pelton
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Joined: 30 Dec 2004
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PostPosted: Mon Jan 31, 2005 10:35 pm    Post subject: Reply with quote

Unless I'm confused about the calculations, I'm having a hard time believing those values that are being reported.

With no disrespect whatsoever to John, I don't think the PER correlation should be much different from the correlation of my efficiency, which was about .55 or so. (Manley credits aka the NBA's Efficiency scored a .62 -- I think that's basically what the other Kevin is reporting.)

What I really find unbelievable is that there would be no stronger correlation between PER and offensive ratings than PER and winning percentage, since obviously defensive statistics are so much more limited. I found much, much higher correlations between my efficiency and the NBA's Efficiency and offense, in the .9 area (mine scored better looking strictly at offense).
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jkubatko



Joined: 05 Jan 2005
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Location: Columbus, OH

PostPosted: Tue Feb 01, 2005 12:20 am    Post subject: Reply with quote

admin wrote:
Unless I'm confused about the calculations, I'm having a hard time believing those values that are being reported.

With no disrespect whatsoever to John, I don't think the PER correlation should be much different from the correlation of my efficiency, which was about .55 or so. (Manley credits aka the NBA's Efficiency scored a .62 -- I think that's basically what the other Kevin is reporting.)

What I really find unbelievable is that there would be no stronger correlation between PER and offensive ratings than PER and winning percentage, since obviously defensive statistics are so much more limited. I found much, much higher correlations between my efficiency and the NBA's Efficiency and offense, in the .9 area (mine scored better looking strictly at offense).


I re-did this and obtained the same results as before (once again, all seasons since 1978):

Code:

               Pearson Correlation Coefficients, N = 698

                PER       Pelton       offEff       defEff         WPct

PER         1.00000      0.69109      0.81163     -0.24626      0.82461

Pelton      0.69109      1.00000      0.86152      0.18596      0.54593

offEff      0.81163      0.86152      1.00000      0.18266      0.65023

defEff     -0.24626      0.18596      0.18266      1.00000     -0.58158

WPct        0.82461      0.54593      0.65023     -0.58158      1.00000


As you said, the correlation between your measure of efficiency (Pelton) and team winning percentage (WPct) is about 0.55. One thing that is interesting to note is that while the correlation between PER and defensive efficiency is negative (as PER increases, points allowed per 100 possessions tends to decrease), the correlation between Pelton and defensive efficiency is positive (as Pelton increases, points allowed per 100 possessions tends to increase). While neither linear relationship is particularly strong, the opposite signs are striking.
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Justin Kubatko
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jkubatko



Joined: 05 Jan 2005
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PostPosted: Tue Feb 01, 2005 12:28 am    Post subject: Reply with quote

gabefarkas wrote:
does Pearson go from -1 (completely inverse) to 1 (complete correlation)?


I would phrase it this way: -1 (perfect negative linear association) to 1 (perfect positive linear association). Correlation is on a scale from -1 to 1. A correlation of 0 means no linear association (note that I said no linear association, not no association). As you move to the extremes (-1 and 1), the strength of the linear association increases.
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Kevin Pelton
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PostPosted: Tue Feb 01, 2005 1:30 am    Post subject: Reply with quote

That is certainly both surprising and humbling. I figured any set of linear weights would be fairly highly correlated.

But it does neatly prove KB's argument.
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gabefarkas



Joined: 31 Dec 2004
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PostPosted: Tue Feb 01, 2005 7:32 am    Post subject: Reply with quote

jkubatko wrote:
gabefarkas wrote:
does Pearson go from -1 (completely inverse) to 1 (complete correlation)?


I would phrase it this way: -1 (perfect negative linear association) to 1 (perfect positive linear association). Correlation is on a scale from -1 to 1. A correlation of 0 means no linear association (note that I said no linear association, not no association). As you move to the extremes (-1 and 1), the strength of the linear association increases.


right. that's correlation in general. i just wasn't sure if Pearson was set up the same way.
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jkubatko



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PostPosted: Tue Feb 01, 2005 8:18 am    Post subject: Reply with quote

gabefarkas wrote:
right. that's correlation in general. i just wasn't sure if Pearson was set up the same way.


When people generically use the term "correlation", they are almost always referring to the Pearson Product Moment Correlation Coefficient.
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Justin Kubatko
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