Pachmann 1927

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.595  0.069  0.0919  0.3351  0.0423  0.11
Anderszewski 2003   64  0.4032  0.0063  0.0470  0.0488  0.0272  0.03
Ashkenazy 1981   72  0.3984  0.0069  0.0560  0.0586  0.0361  0.04
Bacha 2000   40  0.4950  0.0062  0.0556  0.0568  0.0451  0.04
Badura 1965   47  0.4753  0.0034  0.0537  0.1365  0.0440  0.07
Barbosa 1983   46  0.4744  0.0027  0.0725  0.2152  0.0622  0.11
Biret 1990   42  0.4870  0.0064  0.0474  0.0484  0.0384  0.03
Blet 2003   19  0.5625  0.0136  0.0432  0.1777  0.0338  0.07
Block 1995   45  0.4780  0.0059  0.0548  0.0560  0.0460  0.04
Blumental 1952   83  0.2590  0.0084  0.0380  0.0370  0.0381  0.03
Boshniakovich 1969   5  0.606  0.054  0.186  0.5135  0.173  0.29
Brailowsky 1960   13  0.5922  0.0138  0.0436  0.1352  0.0531  0.08
Bunin 1987   27  0.529  0.0320  0.0714  0.3538  0.195  0.26
Bunin 1987b   31  0.5115  0.0121  0.1116  0.3540  0.168  0.24
Chiu 1999   17  0.582  0.123  0.195  0.5324  0.301  0.40
Cohen 1997   76  0.3610  0.0240  0.0442  0.1027  0.2115  0.14
Cortot 1951   80  0.3075  0.0085  0.0287  0.0286  0.0287  0.02
Csalog 1996   48  0.4621  0.0150  0.0555  0.0552  0.0549  0.05
Czerny 1949   56  0.4389  0.0072  0.0465  0.0486  0.0377  0.03
Czerny 1990   33  0.5074  0.0055  0.0549  0.0581  0.0362  0.04
Duchoud 2007   75  0.3781  0.0073  0.0467  0.0483  0.0378  0.03
Ezaki 2006   25  0.5388  0.0053  0.0553  0.0586  0.0350  0.04
Falvay 1989   3  0.6142  0.0015  0.078  0.4243  0.129  0.22
Farrell 1958   39  0.4954  0.0042  0.0441  0.1079  0.0347  0.05
Ferenczy 1958   58  0.4382  0.0078  0.0383  0.0377  0.0375  0.03
Fliere 1977   2  0.644  0.092  0.242  0.6655  0.0414  0.16
Fou 1978   1  0.661  0.221  0.221  0.6732  0.212  0.38
Francois 1956   20  0.5519  0.0126  0.0723  0.2766  0.0329  0.09
Friedman 1923   87  0.2086  0.0088  0.0286  0.0282  0.0389  0.02
Friedman 1923b   86  0.2085  0.0087  0.0378  0.0381  0.0382  0.03
Friedman 1930   81  0.3033  0.0081  0.0376  0.0382  0.0374  0.03
Garcia 2007   78  0.3577  0.0079  0.0381  0.0367  0.0479  0.03
Garcia 2007b   84  0.2436  0.0080  0.0384  0.0387  0.0288  0.02
Gierzod 1998   35  0.5037  0.0032  0.0534  0.1377  0.0345  0.06
Gornostaeva 1994   23  0.5435  0.0047  0.0468  0.0480  0.0383  0.03
Groot 1988   14  0.5876  0.0011  0.0912  0.3842  0.1010  0.19
Harasiewicz 1955   30  0.5138  0.0023  0.0621  0.2986  0.0235  0.08
Hatto 1993   79  0.3487  0.0030  0.0630  0.1872  0.0434  0.08
Hatto 1997   63  0.4011  0.0214  0.0824  0.2365  0.0425  0.10
Horowitz 1949   36  0.4924  0.0133  0.0539  0.1153  0.0537  0.07
Indjic 1988   70  0.3979  0.0029  0.0628  0.2170  0.0428  0.09
Kapell 1951   54  0.4466  0.0070  0.0645  0.0670  0.0448  0.05
Kissin 1993   11  0.5929  0.008  0.119  0.4071  0.0321  0.11
Kushner 1989   26  0.5260  0.0045  0.0469  0.0471  0.0455  0.04
Luisada 1991   49  0.4651  0.0031  0.0731  0.1779  0.0336  0.07
Lushtak 2004   8  0.603  0.117  0.217  0.5038  0.144  0.26
Malcuzynski 1961   38  0.4961  0.0054  0.0550  0.0585  0.0356  0.04
Magaloff 1978   22  0.5440  0.0010  0.0810  0.3866  0.0417  0.12
Magin 1975   71  0.3931  0.0061  0.0464  0.0480  0.0370  0.03
Michalowski 1933   82  0.2945  0.0077  0.0285  0.0279  0.0386  0.02
Milkina 1970   12  0.5918  0.0112  0.0911  0.3873  0.0418  0.12
Mohovich 1999   7  0.6068  0.0016  0.0815  0.3576  0.0326  0.10
Moravec 1969   77  0.3562  0.0082  0.0473  0.0487  0.0265  0.03
Morozova 2008   50  0.4557  0.0049  0.0471  0.0472  0.0373  0.03
Neighaus 1950   4  0.6117  0.0117  0.0913  0.3873  0.0420  0.12
Niedzielski 1931   73  0.3828  0.0075  0.0377  0.0380  0.0369  0.03
Ohlsson 1999   41  0.4839  0.0043  0.0443  0.1070  0.0443  0.06
Osinska 1989   34  0.5078  0.0058  0.0463  0.0474  0.0452  0.04
Pachmann 1927   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Paderewski 1930   21  0.557  0.0413  0.0918  0.3444  0.1012  0.18
Perlemuter 1992   18  0.5623  0.0125  0.0727  0.2180  0.0330  0.08
Pierdomenico 2008   62  0.4152  0.0048  0.0472  0.0455  0.0554  0.04
Poblocka 1999   24  0.5367  0.0028  0.0829  0.1974  0.0332  0.08
Rabcewiczowa 1932   55  0.4443  0.0067  0.0554  0.0584  0.0271  0.03
Rachmaninoff 1923   53  0.4430  0.0066  0.0462  0.0483  0.0367  0.03
Rangell 2001   57  0.4359  0.0052  0.0646  0.0670  0.0363  0.04
Richter 1976   29  0.5216  0.0122  0.0626  0.2155  0.0524  0.10
Rosen 1989   32  0.5149  0.0039  0.0535  0.1373  0.0346  0.06
Rosenthal 1930   67  0.3956  0.0071  0.0647  0.0684  0.0280  0.03
Rosenthal 1931   61  0.4146  0.0056  0.0559  0.0563  0.0459  0.04
Rosenthal 1931b   60  0.4271  0.0041  0.0540  0.1160  0.0442  0.07
Rosenthal 1931c   65  0.4069  0.0068  0.0552  0.0570  0.0364  0.04
Rosenthal 1931d   52  0.4541  0.0037  0.0533  0.1456  0.0533  0.08
Rossi 2007   85  0.2148  0.0086  0.0288  0.0286  0.0285  0.02
Rubinstein 1939   66  0.3914  0.0151  0.0557  0.0539  0.1727  0.09
Rubinstein 1952   44  0.4720  0.0124  0.0622  0.2838  0.246  0.26
Rubinstein 1966   28  0.5258  0.0044  0.0444  0.0858  0.0544  0.06
Schilhawsky 1960   37  0.4973  0.0035  0.0538  0.1274  0.0439  0.07
Shebanova 2002   16  0.5847  0.0019  0.0920  0.3152  0.0519  0.12
Smith 1975   43  0.4864  0.0046  0.0475  0.0486  0.0268  0.03
Sokolov 2002   68  0.3963  0.0065  0.0561  0.0575  0.0353  0.04
Sztompka 1959   59  0.4234  0.0074  0.0558  0.0587  0.0357  0.04
Tomsic 1995   9  0.6012  0.0218  0.1317  0.3540  0.187  0.25
Uninsky 1932   74  0.3772  0.0076  0.0379  0.0384  0.0376  0.03
Uninsky 1971   51  0.4526  0.0060  0.0551  0.0574  0.0458  0.04
Wasowski 1980   69  0.3955  0.0057  0.0466  0.0485  0.0366  0.03
Zak 1937   6  0.608  0.046  0.284  0.5653  0.0611  0.18
Zak 1951   15  0.5813  0.025  0.203  0.5759  0.0513  0.17
Random 1   89  -0.1065  0.0089  0.0189  0.017  0.4841  0.07
Random 2   88  -0.0683  0.0083  0.0382  0.032  0.5716  0.13
Random 3   90  -0.1327  0.0090  0.0190  0.0181  0.0290  0.01

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).