"Virtually no correlation between payroll and win%" - wrong

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Re: "Virtually no correlation between payroll and win%" - wr 

Post#61 » by jambalaya » Thu Oct 13, 2011 3:47 am

HartfordWhalers wrote:
Everything I have seen shows a correlation, typically in that .2-.3 range between straight money spent and team winning percentage. I'm guessing if you want that correlation gone, it can be easily done by controlling for last seasons success. In effect running the correlation of change in money spent on change in winning percentage, that way you capture enough teams paying players after success, as you do teams getting a new (successful) free agent.


I was interested in knowing the correlation of change in money spent on change in winning percentage. Using shawngoat23's data and his caution about normalizing salary within seasons, I took a stab at it. I converted salary into % of league average then computed the year to year change in that ratio and then ran a simple correlation of that salary change ratio to change in win % and SRS. Would a z-score have been better? Anything else you'd change? The correlations I found were +.104 for salary change and win % and +.136 for salary change and SRS. I was surprised they were so low but maybe there is a another way to look at salary that would have a higher correlation? I am stretching here, so feedback is welcome.
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Re: "Virtually no correlation between payroll and win%" - wr 

Post#62 » by shawngoat23 » Thu Oct 13, 2011 4:19 am

I went ahead and plotted the data, and Zimbalist is full of ****:

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Re: "Virtually no correlation between payroll and win%" - wr 

Post#63 » by Wizenheimer » Thu Oct 13, 2011 4:38 am

shawngoat23 wrote:I went ahead and plotted the data, and Zimbalist is full of ****:



wow...good work, thanks

I mentioned this in an earlier post, but there are simply gong to be a lot of 'exceptions' to any prevailing correlation

two examples:

OKC has had a ton of players on cheap rookie scale contracts so they have been getting a lot of wins over the last couple of seasons at a bargain basement price. That will skew data. That will begin to change over the next 2-3 seasons as Durant, Westbrook, Harden, & Ibaka get their extensions

Portland had a very high salary level at the beginning of the century. But when that team started to break up, the losses began to pile up. For several seasons, they had some of the lowest win totals in the league, yet remained with a high salary. The year before they drafted Greg Oden, they had 30 wins but over 70 million in salary, The following season they won 41 games but still had over 70 million in salary. They weren't trying to win as much as they were trying to dig themselves out of a salary hole. That skews the data as well
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Re: "Virtually no correlation between payroll and win%" - wr 

Post#64 » by Elden Payton » Thu Oct 13, 2011 4:59 am

Wizenheimer wrote:
shawngoat23 wrote:I went ahead and plotted the data, and Zimbalist is full of ****:



wow...good work, thanks

I mentioned this in an earlier post, but there are simply gong to be a lot of 'exceptions' to any prevailing correlation

two examples:

OKC has had a ton of players on cheap rookie scale contracts so they have been getting a lot of wins over the last couple of seasons at a bargain basement price. That will skew data. That will begin to change over the next 2-3 seasons as Durant, Westbrook, Harden, & Ibaka get their extensions

Portland had a very high salary level at the beginning of the century. But when that team started to break up, the losses began to pile up. For several seasons, they had some of the lowest win totals in the league, yet remained with a high salary. The year before they drafted Greg Oden, they had 30 wins but over 70 million in salary, The following season they won 41 games but still had over 70 million in salary. They weren't trying to win as much as they were trying to dig themselves out of a salary hole. That skews the data as well


Good Post..

Thanks to Shawngoat for the data.
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Re: "Virtually no correlation between payroll and win%" - wr 

Post#65 » by Iman Shumpert » Thu Oct 13, 2011 5:15 am

I don't need to plot it out to tell me that...

Good players cost a lot of money.
Good teams need good players.
Good teams will cost a lot of money.

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Re: "Virtually no correlation between payroll and win%" - wr 

Post#66 » by ibraheim718 » Thu Oct 13, 2011 5:22 am

Blame Rasho wrote:You realize it is over years... and not just one year....

The Spurs were always among the lowest payroll teams in the 2000s and were an elite team, so before you think you are smarter than a guy with a PHD that surely put more time into his thoughts instead of going to hoophype and comparing it to just this past years playoff team and going ahh ha....And you also fail to realize some teams are also missing half their player salaries with unknown salaries and free agents.


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Re: "Virtually no correlation between payroll and win%" - wr 

Post#67 » by Don Draper » Thu Oct 13, 2011 5:31 am

Wizenheimer wrote:
Don Draper wrote:
Wizenheimer wrote:why don't you just count a couple that aren't simply anecdotal assertions from union reps


....edited out the superfluous.....

Parity isn't the problem.


I tossed out the opinion columns you posted. We've had enough of ESPN writers and such trying to protect their access to players by writing favorable opinion pieces

you only had one 'study' of data there, the one by Dave Berri

and even though I know you will ignore it, I'll point out that Dave Berri is talking about a correlation between market size and competitive balance (not parity) while this thread is talking about a correlation between payroll and winning percentage

there's a fundamental difference between those two correlations. And it's very evident there is a correlation between spending on payroll and winning percentage. How big of an impact payroll level has to winning is open for debate as the other factors are introduced. But there is no debate that the correlation is real.

Finally, Dave Berri is a pretty good statistical analyst. Sometimes however, his conclusions are debatable. What he did state in that article is that the NBA has by far the worst competitive balance of any major professional sport in this country

anyway, if you can focus on the topic of this thread instead of your crusade in favor of the players you can read the article I link below, here's an excerpt:

So, in conclusion, there is a clear and unquestionable positive correlation between spending and winning in the NBA. However, the correlation isn’t that strong, and there are plenty of outliers every (not just the Knicks). Furthermore, it seems like the correlation may be increasing in recent years, but there isn’t really enough data to be sure.


http://www.jeremyscheff.com/2011/07/the-correlation-between-spending-and-winning-in-the-nba-trends-by-year-and-by-team/

my opinion is that the correlation is even bigger then the data shows because teams who draft well in the lottery get 4 years of cheap talent due to the rookie scale. That adds a skew to data that isn't recognized by any models I've seen

For example, OKC has been a high win team with a low payroll because Durant, Westbrook, Harden, & Ibaka have all been playing under rookie salaries. That ended last season as Durant will be in his first year of his extension next season, Westbrook the following year, with Harden & Ibaka next. In other words, they bought their wins cheap the last couple of years but those wins are going to significantly increase in price going forward.

The same was true of the Blazers till last season, and has been true for other teams as well.

The rookie scale artificially introduces inexpensive wins into the data. But teams can't keep flushing veterans and drafting rookies while expecting their wins to remain high


I was addressing the parity myth not necessarily the correlation between payroll and win%. I already read the Jeremy Scheff article earlier in the thread and he basically says while positive, the correlation isn't strong so it doesn't really prove that much. I have yet to see one substantive article that illustrates how parity is a problem in the NBA. Not one. Crazy.
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Re: "Virtually no correlation between payroll and win%" - wr 

Post#68 » by Doormatt » Thu Oct 13, 2011 5:39 am

It's not really that complicated. Good teams have to play their good players more money to keep them, otherwise they wouldn't have good players, and wouldn't be good teams.
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Re: "Virtually no correlation between payroll and win%" - wr 

Post#69 » by Wizenheimer » Thu Oct 13, 2011 5:45 am

Don Draper wrote:I was addressing the parity myth not necessarily the correlation between payroll and win%. I already read the Jeremy Scheff article earlier in the thread and he basically says while positive, the correlation isn't strong so it doesn't really prove that much. I have yet to see one substantive article that illustrates how parity is a problem in the NBA. Not one. Crazy.


I wish people would quit using the term "parity". Nobody wants every team to win 41 games. That isn't the goal

the 'goal', at least the stated goal, is competitive balance

and while you decided to talk about parity, that wasn't the topic being discussed. It was about the definite correlation between payroll spending and winning percentage


Scheff also didn't say what you claim he said. he never said the correlation "didn't prove much". he said it wasn't a strong correlation. But he also made a point of noting that the correlation seems to be increasing over recent years, but he doesn't have enough data to confirm that trend.

so a pretty logical extrapolation is that since spending has a positive effect on winning percentage, large market teams would at least have a consistent capacity to spend more then small market teams. That would give them an inherent competitive advantage, even if it was of smaller significance.

Obviously, the NBA will never be able to completely level the field for every team, but to constantly claim there is no advantage inherent in being in a larger market is simply not realistic
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Re: "Virtually no correlation between payroll and win%" - wr 

Post#70 » by Don Draper » Thu Oct 13, 2011 6:13 am

Wizenheimer wrote:
Don Draper wrote:I was addressing the parity myth not necessarily the correlation between payroll and win%. I already read the Jeremy Scheff article earlier in the thread and he basically says while positive, the correlation isn't strong so it doesn't really prove that much. I have yet to see one substantive article that illustrates how parity is a problem in the NBA. Not one. Crazy.


I wish people would quit using the term "parity". Nobody wants every team to win 41 games. That isn't the goal

the 'goal', at least the stated goal, is competitive balance

and while you decided to talk about parity, that wasn't the topic being discussed. It was about the definite correlation between payroll spending and winning percentage


Scheff also didn't say what you claim he said. he never said the correlation "didn't prove much". he said it wasn't a strong correlation. But he also made a point of noting that the correlation seems to be increasing over recent years, but he doesn't have enough data to confirm that trend.

so a pretty logical extrapolation is that since spending has a positive effect on winning percentage, large market teams would at least have a consistent capacity to spend more then small market teams. That would give them an inherent competitive advantage, even if it was of smaller significance.

Obviously, the NBA will never be able to completely level the field for every team, but to constantly claim there is no advantage inherent in being in a larger market is simply not realistic

I never claimed he said it doesn't mean much. That's obviously what I said. Geeze, try actually reading what I wrote. Regardless he tells us not to read too much into it.

This figure shows that the Knicks were horribly managed in the 00s, which of course is no surprise. Besides that, it looks like there is a fairly noisy and weak correlation between wins and payroll. Probably about the kind of relationship you’d expect, given all the other sources of variability.


Another apparent trend is that, in the past few seasons, the correlation between wins and payroll is much higher than it was previously...But I wouldn’t read too much into this increased correlation trend, as it’s a pretty small sample size. If the pattern continues for a few more seasons, that will be interesting.


Of course there is an inherent advantage in market size, but the NBA has done everything in its power to negate that advantage. Salary caps, max salaries, the draft, trades, bird rights, luxury tax, etc have effectively leveled the playing field.
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Re: "Virtually no correlation between payroll and win%" - wr 

Post#71 » by Elden Payton » Thu Oct 13, 2011 6:36 am

Don Draper wrote:
Wizenheimer wrote:
Don Draper wrote:I was addressing the parity myth not necessarily the correlation between payroll and win%. I already read the Jeremy Scheff article earlier in the thread and he basically says while positive, the correlation isn't strong so it doesn't really prove that much. I have yet to see one substantive article that illustrates how parity is a problem in the NBA. Not one. Crazy.


I wish people would quit using the term "parity". Nobody wants every team to win 41 games. That isn't the goal

the 'goal', at least the stated goal, is competitive balance

and while you decided to talk about parity, that wasn't the topic being discussed. It was about the definite correlation between payroll spending and winning percentage


Scheff also didn't say what you claim he said. he never said the correlation "didn't prove much". he said it wasn't a strong correlation. But he also made a point of noting that the correlation seems to be increasing over recent years, but he doesn't have enough data to confirm that trend.

so a pretty logical extrapolation is that since spending has a positive effect on winning percentage, large market teams would at least have a consistent capacity to spend more then small market teams. That would give them an inherent competitive advantage, even if it was of smaller significance.

Obviously, the NBA will never be able to completely level the field for every team, but to constantly claim there is no advantage inherent in being in a larger market is simply not realistic

I never claimed he said it doesn't mean much. That's obviously what I said. Geeze, try actually reading what I wrote. Regardless he tells us not to read too much into it.

This figure shows that the Knicks were horribly managed in the 00s, which of course is no surprise. Besides that, it looks like there is a fairly noisy and weak correlation between wins and payroll. Probably about the kind of relationship you’d expect, given all the other sources of variability.


Another apparent trend is that, in the past few seasons, the correlation between wins and payroll is much higher than it was previously...But I wouldn’t read too much into this increased correlation trend, as it’s a pretty small sample size. If the pattern continues for a few more seasons, that will be interesting.


Of course there is an inherent advantage in market size, but the NBA has done everything in its power to negate that advantage. Salary caps, max salaries, the draft, trades, bird rights, luxury tax, etc have effectively leveled the playing field.


Agreed.

I would rather have a good front office than a big market.
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Re: "Virtually no correlation between payroll and win%" - wr 

Post#72 » by qianlong » Thu Oct 13, 2011 8:00 am

I am not an expert in statistics but i would go over a simple correlation. Add some other variables like a measure for the draft picks in previous years, number of all star selctions in the previous year, just the first two ideas that come to mind. Maybe a dummy variable for over the luxury tax teams. This allows to distinguish better between paying more and other factors like talent or cheap draft picks.
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Re: "Virtually no correlation between payroll and win%" - wr 

Post#73 » by HartfordWhalers » Thu Oct 13, 2011 11:27 am

jambalaya wrote:
HartfordWhalers wrote:
Everything I have seen shows a correlation, typically in that .2-.3 range between straight money spent and team winning percentage. I'm guessing if you want that correlation gone, it can be easily done by controlling for last seasons success. In effect running the correlation of change in money spent on change in winning percentage, that way you capture enough teams paying players after success, as you do teams getting a new (successful) free agent.


I was interested in knowing the correlation of change in money spent on change in winning percentage. Using shawngoat23's data and his caution about normalizing salary within seasons, I took a stab at it. I converted salary into % of league average then computed the year to year change in that ratio and then ran a simple correlation of that salary change ratio to change in win % and SRS. Would a z-score have been better? Anything else you'd change? The correlations I found were +.104 for salary change and win % and +.136 for salary change and SRS. I was surprised they were so low but maybe there is a another way to look at salary that would have a higher correlation? I am stretching here, so feedback is welcome.


Nice work. I would stick with the correlations, which basically are cut in half by this approach.

Seeing as this wasn't enough to eliminate the correlation to practically non-existant, anyone want to guess what was done was no controlling for year over year increase?
As in, through in one data pool the 3000 team payroll and winning % numbers, and ignore that:
Payroll has increased each year on average.
Average team winning % has stayed at 50% each year.

Viola! No correlation at all.

{There is a separate debate as to whether explaining 6% or 15% or whatever of the winning percentage variance is economically meaningful, but this wasn't what the original article argued.}


Edit:

Nope:

Throwing them all together and not even controlling for year still gets a .21 correlation, using shawngoat23 's data. (thanks shawngoat23!)

See:

. correlate Year Salary WinPercentage SRS
(obs=384)

| Year Salary WinPer~e SRS
-------------+------------------------------------
Year | 1.0000
Salary | 0.5990 1.0000
WinPercent~e | 0.0000 0.2140 1.0000
SRS | -0.0000 0.2108 0.9697 1.0000
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Re: "Virtually no correlation between payroll and win%" - wr 

Post#74 » by EvanZ » Thu Oct 13, 2011 11:57 am

That was my point all along. The dude said the correlation between salary and wins is "practically nonexistent". No, it's not. I don't care whether he is a "professional" statistician or a dog catcher, that description of the data is erroneous at best, intentionally misleading and deceitful at worst.
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Re: "Virtually no correlation between payroll and win%" - wr 

Post#75 » by Dominator83 » Thu Oct 13, 2011 12:15 pm

Its not the size that counts its how you use it...............payroll that is :D

The Miami Heat for example are paying Superstar money to 3 guys that happen to be actual superstars. Same with the Lakers with Kobe and Gasol. Dallas also had Dirk making the big bucks and the rest of the team for most the part being paid accordingly. Thr Thunder did get a huge discount by having those guys on rookie deals, but guys like Durant and Westbrook will more than earn their money when they do get paid.

When teams are paying Joe Johnson more money then Lebron, and my Bulls shelling out 15.2 million a year to Carlos Loozer, 12 a year to Joakim Noah, and an average of 13.5 mill over the next 3 years to Luol Deng (whos a pretty good player but nowhere near that kind of money good), thats where they are at a distinct disadvantage that they put themselves in by not spending wisely.

Orlando has a ginormus payroll and Howard is the only all-star caliber guy on that team that features guys like Arenas and Turtledoo Making 8 figure salarys. They also gave out the contract that had Rashard Lewis making nearly 20 million a year on average :o

The list can go on and on. Point is that teams that spend smart will have the most consistant success. Teams that dont might have a big season here and there, but wont be consistant year in and year out
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Re: "Virtually no correlation between payroll and win%" - wr 

Post#76 » by HartfordWhalers » Thu Oct 13, 2011 1:51 pm

Okay, so here is my best stab at the data, keeping in mind I'm on 1 cup of coffee.

Using that basketballreference data. Focusing on winning %, and salary%.

Quick note: Salary Percentage is measured off the average salary per team per year. It is constructed as such to be less time sensitive then a straight salary or a straight monetary gap between the team salary and the average salary that year, as an extra 5 million in 2000 means way more then in 2010.

Correlation:
A 25.8% correlation between winning % and salary %. Hard to deny that existing (used from 2000 to get the lags in there).

. correlate WinPercentage SalaryPercentage LagWinPercentage LagSalaryPercentage if Yea
> r >= 2000
(obs=354)

| WinPer~e Salary~e LagWin~e LagSal~e
-------------+------------------------------------
WinPercent~e | 1.0000
SalaryPerc~e | 0.2581 1.0000
LagWinPerc~e | 0.6250 0.3407 1.0000
LagSalaryP~e | 0.1762 0.7951 0.2710 1.0000

Regression:
So what coeficient would you put on increasing payroll 1% or 20% above the average team payroll? This is the real question of is its significant.
Details: Panel data, random effects, and using 2000 on.

Result: A .21 coefficient. Statistically significant at any level. So if a team spend 25% more then an average team and would be expected to go from a 41 win team to about 46 win team.

. xtreg WinPercentage SalaryPercentage if Year >=2000, re

Random-effects GLS regression Number of obs = 355
Group variable: Team Number of groups = 30

R-sq: within = 0.0613 Obs per group: min = 7
between = 0.1141 avg = 11.8
overall = 0.0723 max = 12

Wald chi2(1) = 24.57
corr(u_i, X) = 0 (assumed) Prob > chi2 = 0.0000

------------------------------------------------------------------------------
WinPercent~e | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
SalaryPerc~e | .210787 .0425218 4.96 0.000 .1274459 .2941282
_cons | .2886398 .0449382 6.42 0.000 .2005625 .3767171
-------------+----------------------------------------------------------------
sigma_u | .07253631
sigma_e | .12667152
rho | .24693618 (fraction of variance due to u_i)
------------------------------------------------------------------------------

.
However...Once you include the most obvious variable possible (last years winning percentage), this year's salary still has a positive coefficient, but it becomes not statistically significant. This holds if you include lags on salary, and even if you first difference the data to show only the change in salary and the change in winning percentage.

Examples that follow:
1) Including just lag winning%
2) Including Lags of both salary and winning
3) Including differenced variables

Conclusion:
There is indeed a sizable correlation between winning % and salary. It persists year over year, as demonstrated beautifully several posts above. However, the confounding factor is that the same teams tend to be both winning and spending money year over year, raising the question as to whether increasing salary is significant on it own. Team salary is more closely correlated with last years winning percentage then this years, and last year's winning percentage is highly significant on this year's winning percentage. The end result is that while a positive coefficient is found on this year's salary, it isn't statistically significant.

1). xtreg WinPercentage SalaryPercentage LagWinPercentage if Year >=2000, re

Random-effects GLS regression Number of obs = 354
Group variable: Team Number of groups = 30

R-sq: within = 0.2179 Obs per group: min = 6
between = 0.9458 avg = 11.8
overall = 0.3929 max = 12

Wald chi2(2) = 227.14
corr(u_i, X) = 0 (assumed) Prob > chi2 = 0.0000

------------------------------------------------------------------------------
WinPercent~e | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
SalaryPerc~e | .0371012 .0320936 1.16 0.248 -.0258011 .1000034
LagWinPerc~e | .6059751 .0441232 13.73 0.000 .5194952 .6924549
_cons | .1606412 .0327956 4.90 0.000 .0963631 .2249194
-------------+----------------------------------------------------------------
sigma_u | 0
sigma_e | .11551055
rho | 0 (fraction of variance due to u_i)
------------------------------------------------------------------------------


2). xtreg WinPercentage SalaryPercentage LagWinPercentage LagSalaryPercentage if Year >=
> 2000, re

Random-effects GLS regression Number of obs = 354
Group variable: Team Number of groups = 30

R-sq: within = 0.2213 Obs per group: min = 6
between = 0.9563 avg = 11.8
overall = 0.3952 max = 12

Wald chi2(3) = 228.68
corr(u_i, X) = 0 (assumed) Prob > chi2 = 0.0000

------------------------------------------------------------------------------
WinPercent~e | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
SalaryPerc~e | .0826921 .0509142 1.62 0.104 -.0170979 .1824821
LagWinPerc~e | .605985 .0441025 13.74 0.000 .5195457 .6924243
LagSalaryP~e | -.0555721 .0481936 -1.15 0.249 -.1500298 .0388856
_cons | .1705408 .0338858 5.03 0.000 .1041259 .2369557
-------------+----------------------------------------------------------------
sigma_u | 0
sigma_e | .11549829
rho | 0 (fraction of variance due to u_i)
------------------------------------------------------------------------------

3). xtreg WinningPChange SalaryPChange if Year >=2000, re

Random-effects GLS regression Number of obs = 354
Group variable: Team Number of groups = 30

R-sq: within = 0.0003 Obs per group: min = 6
between = 0.2036 avg = 11.8
overall = 0.0007 max = 12

Wald chi2(1) = 0.25
corr(u_i, X) = 0 (assumed) Prob > chi2 = 0.6167

------------------------------------------------------------------------------
WinningPCh~e | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
SalaryPCha~e | .025772 .0514894 0.50 0.617 -.0751454 .1266895
_cons | .000749 .0069079 0.11 0.914 -.0127902 .0142882
-------------+----------------------------------------------------------------
sigma_u | 0
sigma_e | .13444388
rho | 0 (fraction of variance due to u_i)
------------------------------------------------------------------------------

.
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Re: "Virtually no correlation between payroll and win%" - wr 

Post#77 » by Sun Scorched » Thu Oct 13, 2011 3:31 pm

EvanZ wrote:
Sun Scorched wrote:There won't be a strong correllation between win% and payroll because of teams like the Knicks of yore, etc.



There *is* a strong correlation. I just showed that. The Knicks were a crazy outlier.

Also, folks need to understand that just because there is a correlation between salary and wins doesn't mean you can win simply by paying your current players more. The reason there is a correlation is because good teams have to pay a lot to keep their good players.


I didn't say that there wouldn't be a correlation, just that there wouldn't be a strong correlation. Obviously, if you go and exclude the outliers we all know to have skewed the results (e.g. the Knicks) then there will be a stronger correlation.

I agreed with you before you posted stats, but again we can get back to sample size, etc. Broad strokes are that there clearly is a correlation.
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Re: "Virtually no correlation between payroll and win%" - wr 

Post#78 » by Wizenheimer » Thu Oct 13, 2011 3:37 pm

HartfordWhalers wrote:
Conclusion:
There is indeed a sizable correlation between winning % and salary. It persists year over year, as demonstrated beautifully several posts above. However, the confounding factor is that the same teams tend to be both winning and spending money year over year, raising the question as to whether increasing salary is significant on it own. Team salary is more closely correlated with last years winning percentage then this years, and last year's winning percentage is highly significant on this year's winning percentage. The end result is that while a positive coefficient is found on this year's salary, it isn't statistically significant.

.


holy guacamole!

if you could assign a coefficient for how much of your analysis I understood, it would not be statistically significant

anyway, I'm missing why the apparent fact that some teams that consistently spend also consistently win, really "calls into question" the significance of increasing spending. Actually, I understand that, I'm just not clear on the connection between the statistical certainly you outline and the question you raised. And when I re-read what I just wrote there, I'm not sure I'm making any sense.

Maybe the point is that there is an unarguable correlation between spending and winning, but there are so many variables it's difficult to identify any template you could apply to individual teams

* For instance, Toronto spent less money in the season they signed Hedo, then the season before, yet their wins went up from 33 to 40. But it's pretty clear the spending on Hedo did the franchise no good

* OKC has a bunch of players on rookie deals...a bunch of players good enough to secure a lot of wins. But because of those rookie deals, OKC has been getting wins at a bargain-basement price. Once all the rookie deals expire and the extensions kick in, the cost of OKC's wins will escalate significantly while their winning percentage probably won't. So any statistical model that accounts for OKC's cheap wins the last 2 years but not for their expensive wins the next 2 years is signiicantly skewed, no?

* Portland dug themselves a giant salary/luxury tax hole with the Scottie Pippen/Rasheed/Sabonis teams. It took years for them to reduce salary, but in several of those years, they had some of the worst records in the league, even while paying luxury tax. But their goal wasn't winning in those years, it was rather collecting lottery picks, and getting out of salary hell. And as the bad contracts expired, and Portland's rookie deal players improved, the Blazers winning increased even as their spending dropped. So effectively, Portland's presence in the statistical models skews the stats against the correlation in question.
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In other words, those anomalous examples I'm using significantly skew the data in the opposite direction then the correlation in question. And those are just 3 examples. But none of those examples are spending templates for long term success unless part of the template is getting incredibly lucky in the lottery (or in Portland's case, unlucky)

it seems we know there is an definite correlation between spending and winning but that variables make it difficult to judge the significance or land on a consistent template

But since spending can secure wins, and since big market teams do have inherent revenue-producing advantages over small market teams, it's pretty hard to deny the logic in at least trying to level the field between markets. Obviously, it's legitimate to debate which mechanisms can level that field, or if there are realistic mechanisms that would work considering the shortage of truly great players. But for some here to continue to deny that a correlation exists is just nonsense.
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Re: "Virtually no correlation between payroll and win%" - wr 

Post#79 » by HartfordWhalers » Thu Oct 13, 2011 3:51 pm

Wizenheimer wrote:
HartfordWhalers wrote:
Conclusion:
There is indeed a sizable correlation between winning % and salary. It persists year over year, as demonstrated beautifully several posts above. However, the confounding factor is that the same teams tend to be both winning and spending money year over year, raising the question as to whether increasing salary is significant on it own. Team salary is more closely correlated with last years winning percentage then this years, and last year's winning percentage is highly significant on this year's winning percentage. The end result is that while a positive coefficient is found on this year's salary, it isn't statistically significant.

.


holy guacamole!

if you could assign a coefficient for how much of your analysis I understood, it would not be statistically significant

anyway, I'm missing why the apparent fact that some teams that consistently spend also consistently win, really "calls into question" the significance of increasing spending. Actually, I understand that, I'm just not clear on the connection between the statistical certainly you outline and the question you raised. And when I re-read what I just wrote there, I'm not sure I'm making any sense.

Maybe the point is that there is an unarguable correlation between spending and winning, but there are so many variables it's difficult to identify any template you could apply to individual teams

* For instance, Toronto spent less money in the season they signed Hedo, then the season before, yet their wins went up from 33 to 40. But it's pretty clear the spending on Hedo did the franchise no good

* OKC has a bunch of players on rookie deals...a bunch of players good enough to secure a lot of wins. But because of those rookie deals, OKC has been getting wins at a bargain-basement price. Once all the rookie deals expire and the extensions kick in, the cost of OKC's wins will escalate significantly while their winning percentage probably won't. So any statistical model that accounts for OKC's cheap wins the last 2 years but not for their expensive wins the next 2 years is signiicantly skewed, no?

* Portland dug themselves a giant salary/luxury tax hole with the Scottie Pippen/Rasheed/Sabonis teams. It took years for them to reduce salary, but in several of those years, they had some of the worst records in the league, even while paying luxury tax. But their goal wasn't winning in those years, it was rather collecting lottery picks, and getting out of salary hell. And as the bad contracts expired, and Portland's rookie deal players improved, the Blazers winning increased even as their spending dropped. So effectively, Portland's presence in the statistical models skews the stats against the correlation in question.
----------------------------------------------------------------------------------------
In other words, those anomalous examples I'm using significantly skew the data in the opposite direction then the correlation in question. And those are just 3 examples. But none of those examples are spending templates for long term success unless part of the template is getting incredibly lucky in the lottery (or in Portland's case, unlucky)

it seems we know there is an definite correlation between spending and winning but that variables make it difficult to judge the significance or land on a consistent template

But since spending can secure wins, and since big market teams do have inherent revenue-producing advantages over small market teams, it's pretty hard to deny the logic in at least trying to level the field between markets. Obviously, it's legitimate to debate which mechanisms can level that field, or if there are realistic mechanisms that would work considering the shortage of truly great players. But for some here to continue to deny that a correlation exists is just nonsense.


Oh, I definitely agree there cannot be fairness to a system where the Lakers can have double another team's payroll.

In short the data shows:
1) Salary - Winning Correlation is large -- oops (or maybe a reporter misquote)

But:
2) Last Year Winning - This Year Winning Correlation is Massive (and last year winning to this years salary is sizable)

So the teams that won last year win this year. And winning last year means you pay more this year typically. So paying more in salary is useful just a sign that you were good last year. Which is seen when you look at teams that increase spending (That last regression with a change variable) they typically don't increase winning that year.

Ideally to deal with the problem of your examples, we should have a dataset on new contracts signed. After all, most payroll is set by contracts several years old. Unfortunately, I don't have the savvy of the people that can write a script and collect that data. Anyone? Buehler? Buehler?

{Note: I didn't expect that result, and don't expect to get paid by the players for it :( }
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Re: "Virtually no correlation between payroll and win%" - wr 

Post#80 » by Agenda42 » Thu Oct 13, 2011 5:06 pm

HartfordWhalers wrote:So the teams that won last year win this year. And winning last year means you pay more this year typically. So paying more in salary is useful just a sign that you were good last year. Which is seen when you look at teams that increase spending (That last regression with a change variable) they typically don't increase winning that year.


This is pretty accurate. I think the biggest determinant of being a good team is landing a superstar. Most commonly you do this through the draft, occasionally there is a big time free agent signing, but the rookie scale and max contract rules make these players phenomenally efficient investments. Most of the big increases in payroll simply occur when you resign your own guys, so it should come as no surprise that doesn't make for a big increase in wins.

On the other hand, what happens if you are good, but you can't afford to pay more to resign your players? It seems to me like that's where the biggest component of economic advantage lies -- LA was able to retain Bryant, Gasol, and Bynum, even though that trio by itself puts you over the salary cap. Meanwhile, the Jazz were good, but they weren't able to retain Deron Williams and Wesley Matthews last year at least in part due to their inability to go up to the $85M payroll level.

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