Pachmann 1927

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   69  0.2153  0.0077  0.0375  0.0386  0.0368  0.03
Anderszewski 2003   58  0.2480  0.0040  0.0541  0.1381  0.0347  0.06
Ashkenazy 1981   22  0.3522  0.0136  0.1035  0.2562  0.0337  0.09
Bacha 2000   54  0.2535  0.0061  0.0371  0.0383  0.0361  0.03
Badura 1965   67  0.2226  0.0149  0.0459  0.0483  0.0270  0.03
Barbosa 1983   62  0.2387  0.0059  0.0555  0.0583  0.0355  0.04
Biret 1990   49  0.2588  0.0056  0.0554  0.0571  0.0459  0.04
Blet 2003   84  0.1128  0.0185  0.0188  0.0187  0.0289  0.01
Block 1995   78  0.1761  0.0055  0.0556  0.0570  0.0458  0.04
Blumental 1952   66  0.2271  0.0073  0.0362  0.0377  0.0471  0.03
Boshniakovich 1969   1  0.442  0.132  0.171  0.6653  0.0610  0.20
Brailowsky 1960   83  0.1172  0.0086  0.0189  0.0185  0.0288  0.01
Bunin 1987   47  0.2747  0.0048  0.0649  0.0672  0.0450  0.05
Bunin 1987b   48  0.2654  0.0047  0.0551  0.0577  0.0353  0.04
Chiu 1999   59  0.2450  0.0068  0.0461  0.0469  0.0452  0.04
Cohen 1997   77  0.1782  0.0078  0.0379  0.0385  0.0372  0.03
Cortot 1951   87  0.0867  0.0079  0.0281  0.0289  0.0190  0.01
Csalog 1996   34  0.3236  0.0032  0.0927  0.3679  0.0335  0.10
Czerny 1949   11  0.387  0.0510  0.1412  0.5251  0.0711  0.19
Czerny 1990   30  0.3232  0.0021  0.0821  0.4475  0.0334  0.11
Duchoud 2007   18  0.3641  0.0026  0.0720  0.4425  0.441  0.44
Ezaki 2006   23  0.358  0.0312  0.1611  0.5459  0.0514  0.16
Falvay 1989   24  0.3570  0.0024  0.0725  0.3760  0.0518  0.14
Farrell 1958   28  0.3355  0.0015  0.1010  0.5555  0.0513  0.17
Ferenczy 1958   60  0.2452  0.0063  0.0372  0.0385  0.0366  0.03
Fliere 1977   38  0.3065  0.0044  0.0644  0.1282  0.0346  0.06
Fou 1978   16  0.3720  0.0123  0.0819  0.4677  0.0328  0.12
Francois 1956   55  0.2462  0.0054  0.0650  0.0674  0.0360  0.04
Friedman 1923   76  0.1943  0.0072  0.0377  0.0379  0.0477  0.03
Friedman 1923b   64  0.2331  0.0062  0.0364  0.0370  0.0473  0.03
Friedman 1930   70  0.2140  0.0074  0.0365  0.0374  0.0464  0.03
Garcia 2007   43  0.2949  0.0042  0.0543  0.1367  0.0443  0.07
Garcia 2007b   33  0.3223  0.0128  0.0924  0.3839  0.186  0.26
Gierzod 1998   5  0.4227  0.0122  0.0817  0.4781  0.0330  0.12
Gornostaeva 1994   2  0.435  0.063  0.133  0.6544  0.087  0.23
Groot 1988   81  0.1573  0.0075  0.0373  0.0386  0.0374  0.03
Harasiewicz 1955   29  0.3368  0.0043  0.0640  0.1470  0.0445  0.07
Hatto 1993   74  0.2074  0.0071  0.0367  0.0387  0.0375  0.03
Hatto 1997   71  0.2183  0.0060  0.0366  0.0384  0.0365  0.03
Horowitz 1949   85  0.1044  0.0089  0.0285  0.0286  0.0281  0.02
Indjic 1988   75  0.1989  0.0070  0.0374  0.0388  0.0283  0.02
Kapell 1951   3  0.431  0.191  0.192  0.6654  0.068  0.20
Kissin 1993   19  0.3630  0.0020  0.0714  0.4756  0.0517  0.15
Kushner 1989   8  0.4011  0.0211  0.145  0.6279  0.0319  0.14
Luisada 1991   68  0.2284  0.0080  0.0376  0.0383  0.0362  0.03
Lushtak 2004   40  0.3064  0.0019  0.0723  0.4052  0.0521  0.14
Malcuzynski 1961   17  0.364  0.069  0.109  0.5551  0.079  0.20
Magaloff 1978   45  0.2846  0.0025  0.0734  0.2864  0.0433  0.11
Magin 1975   6  0.429  0.035  0.124  0.6455  0.0512  0.18
Michalowski 1933   57  0.2415  0.0153  0.0646  0.0624  0.2926  0.13
Milkina 1970   21  0.3681  0.0033  0.1128  0.3462  0.0525  0.13
Mohovich 1999   42  0.3075  0.0038  0.0737  0.2284  0.0341  0.08
Moravec 1969   36  0.3148  0.0034  0.0836  0.2362  0.0531  0.11
Morozova 2008   41  0.3058  0.0045  0.0645  0.0674  0.0449  0.05
Neighaus 1950   32  0.3229  0.0035  0.0830  0.3148  0.0623  0.14
Niedzielski 1931   82  0.1290  0.0081  0.0282  0.0282  0.0280  0.02
Ohlsson 1999   53  0.2569  0.0058  0.0553  0.0582  0.0354  0.04
Osinska 1989   15  0.3713  0.0227  0.0732  0.3074  0.0432  0.11
Pachmann 1927   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Paderewski 1930   25  0.3412  0.0229  0.0829  0.3423  0.343  0.34
Perlemuter 1992   35  0.3145  0.0052  0.0648  0.0658  0.0448  0.05
Pierdomenico 2008   4  0.4310  0.0216  0.1018  0.4734  0.292  0.37
Poblocka 1999   51  0.2514  0.0239  0.0642  0.1375  0.0442  0.07
Rabcewiczowa 1932   7  0.403  0.094  0.136  0.5938  0.154  0.30
Rachmaninoff 1923   86  0.1085  0.0084  0.0378  0.0387  0.0278  0.02
Rangell 2001   27  0.3339  0.0017  0.0926  0.3764  0.0522  0.14
Richter 1976   9  0.406  0.066  0.1213  0.5149  0.0515  0.16
Rosen 1989   12  0.3824  0.0131  0.0931  0.3180  0.0336  0.10
Rosenthal 1930   56  0.2434  0.0069  0.0460  0.0476  0.0369  0.03
Rosenthal 1931   73  0.2056  0.0076  0.0280  0.0279  0.0384  0.02
Rosenthal 1931b   80  0.1557  0.0087  0.0287  0.0288  0.0287  0.02
Rosenthal 1931c   63  0.2359  0.0066  0.0369  0.0379  0.0376  0.03
Rosenthal 1931d   79  0.1566  0.0088  0.0283  0.0286  0.0286  0.02
Rossi 2007   26  0.3421  0.0130  0.0933  0.3048  0.0624  0.13
Rubinstein 1939   10  0.3917  0.018  0.107  0.5864  0.0416  0.15
Rubinstein 1952   31  0.3219  0.017  0.1022  0.4163  0.0427  0.13
Rubinstein 1966   37  0.3063  0.0041  0.0739  0.1775  0.0439  0.08
Schilhawsky 1960   39  0.3037  0.0046  0.0557  0.0583  0.0356  0.04
Shebanova 2002   50  0.2542  0.0051  0.0558  0.0582  0.0357  0.04
Smith 1975   65  0.2276  0.0067  0.0370  0.0388  0.0279  0.02
Sokolov 2002   44  0.2977  0.0037  0.0638  0.2174  0.0338  0.08
Sztompka 1959   52  0.2533  0.0064  0.0363  0.0386  0.0282  0.02
Tomsic 1995   13  0.3816  0.0113  0.178  0.5644  0.125  0.26
Uninsky 1932   72  0.2086  0.0050  0.0552  0.0584  0.0267  0.03
Uninsky 1971   61  0.2378  0.0065  0.0368  0.0382  0.0363  0.03
Wasowski 1980   46  0.2879  0.0057  0.0647  0.0683  0.0351  0.04
Zak 1937   14  0.3718  0.0114  0.1015  0.4768  0.0420  0.14
Zak 1951   20  0.3625  0.0118  0.0816  0.4784  0.0329  0.12
Random 1   88  -0.0160  0.0082  0.0286  0.0224  0.3140  0.08
Random 2   89  -0.0451  0.0090  0.0190  0.0180  0.0385  0.02
Random 3   90  -0.0838  0.0083  0.0284  0.0222  0.2844  0.07

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).