Pachmann 1927

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   70  0.2154  0.0078  0.0376  0.0387  0.0369  0.03
Anderszewski 2003   59  0.2481  0.0041  0.0542  0.1382  0.0348  0.06
Ashkenazy 1981   23  0.3522  0.0137  0.1036  0.2563  0.0338  0.09
Bacha 2000   55  0.2536  0.0062  0.0372  0.0384  0.0362  0.03
Badura 1965   68  0.2226  0.0150  0.0460  0.0484  0.0271  0.03
Barbosa 1983   63  0.2388  0.0060  0.0556  0.0584  0.0356  0.04
Biret 1990   50  0.2589  0.0057  0.0555  0.0572  0.0460  0.04
Blet 2003   85  0.1128  0.0186  0.0189  0.0188  0.0290  0.01
Block 1995   79  0.1762  0.0056  0.0557  0.0571  0.0459  0.04
Blumental 1952   67  0.2272  0.0074  0.0363  0.0378  0.0472  0.03
Boshniakovich 1969   2  0.442  0.132  0.171  0.6654  0.069  0.20
Brailowsky 1960   84  0.1173  0.0087  0.0190  0.0186  0.0289  0.01
Bunin 1987   48  0.2748  0.0049  0.0650  0.0673  0.0451  0.05
Bunin 1987b   49  0.2655  0.0048  0.0552  0.0578  0.0354  0.04
Chiu 1999   60  0.2451  0.0069  0.0462  0.0470  0.0453  0.04
Cohen 1997   78  0.1783  0.0079  0.0380  0.0386  0.0373  0.03
Cortot 1951   88  0.0868  0.0080  0.0282  0.0290  0.0191  0.01
Csalog 1996   35  0.3237  0.0033  0.0928  0.3680  0.0336  0.10
Czerny 1949   12  0.387  0.0510  0.1313  0.5252  0.0710  0.19
Czerny 1990   31  0.3232  0.0022  0.0822  0.4476  0.0335  0.11
Duchoud 2007   19  0.3642  0.0027  0.0721  0.4426  0.441  0.44
Ezaki 2006   24  0.358  0.0311  0.1212  0.5460  0.0514  0.16
Falvay 1989   25  0.3571  0.0025  0.0726  0.3761  0.0428  0.12
Farrell 1958   29  0.3356  0.0016  0.1011  0.5556  0.0513  0.17
Ferenczy 1958   61  0.2453  0.0064  0.0373  0.0386  0.0367  0.03
Fliere 1977   39  0.3066  0.0045  0.0645  0.1283  0.0347  0.06
Fou 1978   17  0.3720  0.0124  0.0820  0.4678  0.0329  0.12
Francois 1956   56  0.2463  0.0055  0.0651  0.0675  0.0361  0.04
Friedman 1923   77  0.1944  0.0073  0.0378  0.0380  0.0478  0.03
Friedman 1923b   65  0.2331  0.0063  0.0365  0.0371  0.0474  0.03
Friedman 1930   71  0.2141  0.0075  0.0366  0.0375  0.0465  0.03
Garcia 2007   44  0.2950  0.0043  0.0544  0.1368  0.0445  0.07
Garcia 2007b   34  0.3223  0.0129  0.0925  0.3840  0.186  0.26
Gierzod 1998   6  0.4227  0.0123  0.0818  0.4782  0.0331  0.12
Gornostaeva 1994   3  0.435  0.063  0.133  0.6545  0.087  0.23
Groot 1988   82  0.1574  0.0076  0.0374  0.0387  0.0375  0.03
Harasiewicz 1955   30  0.3369  0.0044  0.0641  0.1471  0.0446  0.07
Hatto 1993   75  0.2075  0.0072  0.0368  0.0388  0.0376  0.03
Hatto 1997   72  0.2184  0.0061  0.0367  0.0385  0.0366  0.03
Horowitz 1949   86  0.1045  0.0090  0.0286  0.0287  0.0282  0.02
Indjic 1988   76  0.1990  0.0071  0.0375  0.0389  0.0284  0.02
Kapell 1951   4  0.431  0.191  0.192  0.6655  0.068  0.20
Kissin 1993   20  0.3630  0.0021  0.0715  0.4757  0.0518  0.15
Kushner 1989   9  0.4011  0.0212  0.126  0.6280  0.0319  0.14
Luisada 1991   69  0.2285  0.0081  0.0377  0.0384  0.0363  0.03
Lushtak 2004   41  0.3065  0.0020  0.0724  0.4053  0.0521  0.14
Malcuzynski 1961   18  0.364  0.069  0.0910  0.5552  0.0612  0.18
Magaloff 1978   46  0.2847  0.0026  0.0735  0.2865  0.0434  0.11
Magin 1975   7  0.429  0.035  0.114  0.6456  0.0511  0.18
Michalowski 1933   58  0.2415  0.0154  0.0647  0.0625  0.2926  0.13
Milkina 1970   22  0.3682  0.0034  0.1129  0.3463  0.0525  0.13
Mohovich 1999   43  0.3076  0.0039  0.0738  0.2285  0.0342  0.08
Moravec 1969   37  0.3149  0.0035  0.0837  0.2363  0.0532  0.11
Morozova 2008   42  0.3059  0.0046  0.0646  0.0675  0.0450  0.05
Neighaus 1950   33  0.3229  0.0036  0.0831  0.3149  0.0623  0.14
Niedzielski 1931   83  0.1291  0.0082  0.0283  0.0283  0.0281  0.02
Ohlsson 1999   54  0.2570  0.0059  0.0554  0.0583  0.0355  0.04
Osinska 1989   16  0.3713  0.0228  0.0733  0.3075  0.0433  0.11
Pachmann 1927   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Paderewski 1930   26  0.3412  0.0230  0.0830  0.3424  0.343  0.34
Perlemuter 1992   36  0.3146  0.0053  0.0649  0.0659  0.0449  0.05
Pierdomenico 2008   5  0.4310  0.0217  0.1019  0.4735  0.292  0.37
Poblocka 1999   52  0.2514  0.0240  0.0643  0.1376  0.0444  0.07
Rabcewiczowa 1932   8  0.403  0.094  0.127  0.5939  0.154  0.30
Rachmaninoff 1923   87  0.1086  0.0085  0.0379  0.0388  0.0279  0.02
Rangell 2001   28  0.3340  0.0018  0.0827  0.3765  0.0522  0.14
Richter 1976   10  0.406  0.066  0.1014  0.5150  0.0515  0.16
Rosen 1989   13  0.3824  0.0132  0.0932  0.3181  0.0337  0.10
Rosenthal 1930   57  0.2434  0.0070  0.0461  0.0477  0.0370  0.03
Rosenthal 1931   74  0.2057  0.0077  0.0281  0.0280  0.0385  0.02
Rosenthal 1931b   81  0.1558  0.0088  0.0288  0.0289  0.0288  0.02
Rosenthal 1931c   64  0.2360  0.0067  0.0370  0.0380  0.0377  0.03
Rosenthal 1931d   80  0.1567  0.0089  0.0284  0.0287  0.0287  0.02
Rossi 2007   27  0.3421  0.0131  0.0934  0.3049  0.0624  0.13
Rubinstein 1939   11  0.3917  0.018  0.108  0.5865  0.0417  0.15
Rubinstein 1952   32  0.3219  0.017  0.1023  0.4164  0.0427  0.13
Rubinstein 1966   38  0.3064  0.0042  0.0740  0.1776  0.0440  0.08
Schilhawsky 1960   40  0.3038  0.0047  0.0558  0.0584  0.0357  0.04
Shebanova 2002   51  0.2543  0.0052  0.0559  0.0583  0.0358  0.04
Smith 1975   66  0.2277  0.0068  0.0371  0.0389  0.0280  0.02
Sokolov 2002   45  0.2978  0.0038  0.0639  0.2175  0.0339  0.08
Sztompka 1959   53  0.2533  0.0065  0.0364  0.0387  0.0283  0.02
Tomsic 1995   14  0.3816  0.0114  0.179  0.5645  0.125  0.26
Uninsky 1932   73  0.2087  0.0051  0.0553  0.0585  0.0268  0.03
Uninsky 1971   62  0.2379  0.0066  0.0369  0.0383  0.0364  0.03
Wasowski 1980   47  0.2880  0.0058  0.0648  0.0684  0.0352  0.04
Zak 1937   15  0.3718  0.0115  0.1016  0.4769  0.0420  0.14
Zak 1951   21  0.3625  0.0119  0.0817  0.4785  0.0330  0.12
Average   1  0.4435  0.0013  0.145  0.6271  0.0416  0.16
Random 1   89  -0.0161  0.0083  0.0287  0.0224  0.3441  0.08
Random 2   90  -0.0452  0.0091  0.0191  0.0181  0.0386  0.02
Random 3   91  -0.0839  0.0084  0.0285  0.0221  0.2943  0.08

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).