Cortot 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   16  0.6949  0.0028  0.0828  0.2854  0.0535  0.12
Anderszewski 2003   35  0.6251  0.0053  0.0546  0.0565  0.0468  0.04
Ashkenazy 1981   37  0.6218  0.0117  0.0915  0.4538  0.1517  0.26
Bacha 2000   63  0.5547  0.0060  0.0473  0.0470  0.0453  0.04
Badura 1965   65  0.5532  0.0069  0.0462  0.0462  0.0575  0.04
Barbosa 1983   77  0.4769  0.0074  0.0551  0.0560  0.0465  0.04
Biret 1990   24  0.6641  0.0012  0.1018  0.4135  0.1815  0.27
Blet 2003   28  0.6576  0.0049  0.0458  0.0463  0.0569  0.04
Block 1995   60  0.5643  0.0041  0.0542  0.0952  0.0547  0.07
Blumental 1952   46  0.6046  0.0048  0.0455  0.0447  0.0651  0.05
Boshniakovich 1969   22  0.6727  0.0029  0.0826  0.3045  0.0727  0.14
Brailowsky 1960   52  0.5961  0.0059  0.0377  0.0349  0.0555  0.04
Bunin 1987   70  0.5267  0.0067  0.0552  0.0524  0.3332  0.13
Bunin 1987b   72  0.5084  0.0066  0.0379  0.0324  0.3241  0.10
Chiu 1999   62  0.5531  0.0055  0.0469  0.0447  0.0456  0.04
Cohen 1997   87  0.2965  0.0085  0.0287  0.0272  0.0390  0.02
Cortot 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Csalog 1996   79  0.4623  0.0171  0.0472  0.0448  0.0567  0.04
Czerny 1949   11  0.7125  0.0122  0.1017  0.4240  0.2413  0.32
Czerny 1990   29  0.6583  0.0047  0.0457  0.0482  0.0388  0.03
Duchoud 2007   56  0.5830  0.0039  0.0539  0.1210  0.3819  0.21
Ezaki 2006   13  0.7015  0.0121  0.0922  0.4052  0.0428  0.13
Falvay 1989   86  0.3687  0.0087  0.0286  0.0252  0.0757  0.04
Farrell 1958   41  0.619  0.0234  0.0832  0.2259  0.0540  0.10
Ferenczy 1958   39  0.6240  0.0056  0.0461  0.0449  0.0573  0.04
Fliere 1977   4  0.7470  0.0013  0.1010  0.4753  0.0525  0.15
Fou 1978   45  0.6042  0.0051  0.0549  0.0556  0.0462  0.04
Francois 1956   75  0.4879  0.0082  0.0383  0.0364  0.0489  0.03
Friedman 1923   32  0.6474  0.0044  0.0444  0.0855  0.0549  0.06
Friedman 1923b   33  0.6488  0.0038  0.0537  0.1449  0.0643  0.09
Friedman 1930   31  0.6434  0.0046  0.0454  0.0457  0.0572  0.04
Garcia 2007   1  0.7512  0.017  0.137  0.5116  0.454  0.48
Garcia 2007b   19  0.6926  0.0116  0.1011  0.4627  0.3210  0.38
Gierzod 1998   34  0.6386  0.0052  0.0550  0.0565  0.0474  0.04
Gornostaeva 1994   57  0.586  0.0273  0.0460  0.0471  0.0387  0.03
Groot 1988   44  0.6154  0.0035  0.0736  0.1540  0.1921  0.17
Harasiewicz 1955   6  0.733  0.082  0.292  0.6124  0.326  0.44
Hatto 1993   51  0.5944  0.0033  0.0933  0.2246  0.0639  0.11
Hatto 1997   40  0.6119  0.0131  0.1029  0.2461  0.0538  0.11
Horowitz 1949   7  0.7221  0.018  0.134  0.559  0.521  0.53
Indjic 1988   43  0.6162  0.0032  0.0830  0.2246  0.0734  0.12
Kapell 1951   2  0.741  0.341  0.331  0.6310  0.345  0.46
Kissin 1993   23  0.6637  0.0030  0.0827  0.2948  0.0437  0.11
Kushner 1989   55  0.5835  0.0068  0.0382  0.0355  0.0563  0.04
Luisada 1991   54  0.5955  0.0062  0.0459  0.0466  0.0454  0.04
Lushtak 2004   48  0.6020  0.0127  0.0834  0.1736  0.1524  0.16
Malcuzynski 1961   27  0.652  0.243  0.2413  0.454  0.513  0.48
Magaloff 1978   73  0.5056  0.0078  0.0378  0.0386  0.0380  0.03
Magin 1975   47  0.6058  0.0054  0.0547  0.0575  0.0360  0.04
Michalowski 1933   53  0.5971  0.0064  0.0476  0.0456  0.0564  0.04
Milkina 1970   30  0.6459  0.0045  0.0453  0.0477  0.0382  0.03
Mohovich 1999   38  0.6289  0.0040  0.0541  0.1156  0.0645  0.08
Moravec 1969   58  0.5833  0.0043  0.0443  0.0929  0.2822  0.16
Morozova 2008   42  0.6139  0.0050  0.0548  0.0554  0.0471  0.04
Neighaus 1950   14  0.6913  0.0114  0.0914  0.4536  0.1616  0.27
Niedzielski 1931   8  0.7216  0.0110  0.139  0.4830  0.317  0.39
Ohlsson 1999   59  0.5890  0.0036  0.0535  0.1661  0.0444  0.08
Osinska 1989   12  0.7163  0.0024  0.1120  0.4148  0.0623  0.16
Pachmann 1927   74  0.4850  0.0086  0.0385  0.0360  0.0484  0.03
Paderewski 1930   49  0.5917  0.0163  0.0465  0.0461  0.0383  0.03
Perlemuter 1992   18  0.6938  0.0019  0.0723  0.3938  0.1418  0.23
Pierdomenico 2008   85  0.3711  0.0183  0.0463  0.0474  0.0458  0.04
Poblocka 1999   25  0.665  0.0311  0.1119  0.4133  0.2314  0.31
Rabcewiczowa 1932   67  0.5552  0.0075  0.0645  0.0681  0.0361  0.04
Rachmaninoff 1923   21  0.6829  0.0026  0.1025  0.3558  0.0433  0.12
Rangell 2001   82  0.4424  0.0170  0.0468  0.0439  0.1546  0.08
Richter 1976   36  0.627  0.0225  0.1031  0.2212  0.5312  0.34
Rosen 1989   64  0.5577  0.0072  0.0471  0.0487  0.0286  0.03
Rosenthal 1930   66  0.5548  0.0065  0.0466  0.0437  0.1048  0.06
Rosenthal 1931   76  0.4880  0.0077  0.0467  0.0472  0.0466  0.04
Rosenthal 1931b   78  0.4781  0.0079  0.0464  0.0450  0.0652  0.05
Rosenthal 1931c   81  0.4682  0.0081  0.0456  0.0466  0.0478  0.04
Rosenthal 1931d   80  0.4685  0.0080  0.0384  0.0359  0.0577  0.04
Rossi 2007   71  0.5114  0.0142  0.0440  0.1143  0.1136  0.11
Rubinstein 1939   68  0.5457  0.0058  0.0475  0.0470  0.0459  0.04
Rubinstein 1952   84  0.4075  0.0076  0.0474  0.0470  0.0479  0.04
Rubinstein 1966   61  0.5568  0.0057  0.0380  0.0345  0.0670  0.04
Schilhawsky 1960   5  0.738  0.025  0.133  0.5619  0.472  0.51
Shebanova 2002   15  0.6953  0.0023  0.0916  0.4357  0.0431  0.13
Smith 1975   50  0.5972  0.0061  0.0470  0.0483  0.0381  0.03
Sokolov 2002   69  0.5360  0.0037  0.0538  0.1442  0.1229  0.13
Sztompka 1959   10  0.714  0.036  0.146  0.5149  0.0720  0.19
Tomsic 1995   83  0.4236  0.0084  0.0381  0.0351  0.0750  0.05
Uninsky 1932   3  0.7410  0.019  0.185  0.5331  0.288  0.39
Uninsky 1971   17  0.6928  0.0015  0.0812  0.4636  0.329  0.38
Wasowski 1980   9  0.7122  0.014  0.148  0.5120  0.2411  0.35
Zak 1937   20  0.6866  0.0018  0.0921  0.4057  0.0430  0.13
Zak 1951   26  0.6678  0.0020  0.0824  0.3854  0.0526  0.14
Random 1   88  -0.0773  0.0088  0.0288  0.026  0.5342  0.10
Random 2   90  -0.1664  0.0090  0.0190  0.0144  0.0785  0.03
Random 3   89  -0.1145  0.0089  0.0189  0.0139  0.1576  0.04

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).