Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   18  0.5959  0.0026  0.0724  0.2930  0.3330  0.31
Anderszewski 2003   7  0.6246  0.0013  0.0912  0.4810  0.517  0.49
Ashkenazy 1981   23  0.5720  0.0121  0.1016  0.4330  0.3423  0.38
Bacha 2000   77  0.4389  0.0076  0.0456  0.0433  0.2760  0.10
Badura 1965   67  0.4637  0.0077  0.0553  0.0549  0.0769  0.06
Barbosa 1983   46  0.5234  0.0027  0.0731  0.2513  0.4726  0.34
Biret 1990   20  0.5810  0.0210  0.0910  0.499  0.545  0.51
Blet 2003   35  0.5558  0.0045  0.0749  0.079  0.4841  0.18
Block 1995   53  0.5060  0.0052  0.0555  0.0524  0.2955  0.12
Blumental 1952   55  0.4929  0.0012  0.1027  0.2810  0.3728  0.32
Boshniakovich 1969   33  0.5636  0.0040  0.0636  0.2038  0.1839  0.19
Brailowsky 1960   19  0.5913  0.0131  0.0825  0.295  0.6814  0.44
Bunin 1987   73  0.4490  0.0072  0.0459  0.0448  0.0672  0.05
Bunin 1987b   76  0.4478  0.0073  0.0466  0.0455  0.0578  0.04
Chiu 1999   65  0.4776  0.0074  0.0463  0.0453  0.0575  0.04
Cohen 1997   78  0.4163  0.0075  0.0461  0.0410  0.4852  0.14
Cortot 1951   50  0.5142  0.0041  0.0642  0.1510  0.5632  0.29
Csalog 1996   86  0.3552  0.0086  0.0378  0.0364  0.0486  0.03
Czerny 1949   9  0.618  0.027  0.106  0.5314  0.553  0.54
Czerny 1990   8  0.6119  0.0114  0.0911  0.4824  0.3321  0.40
Duchoud 2007   59  0.4861  0.0063  0.0457  0.0429  0.2958  0.11
Ezaki 2006   1  0.692  0.212  0.322  0.714  0.662  0.68
Falvay 1989   12  0.609  0.0224  0.0921  0.3717  0.5216  0.44
Farrell 1958   43  0.5340  0.0042  0.0741  0.159  0.4733  0.27
Ferenczy 1958   30  0.563  0.0619  0.0822  0.362  0.6310  0.48
Fliere 1977   3  0.6525  0.008  0.107  0.5233  0.3617  0.43
Fou 1978   38  0.5448  0.0035  0.0635  0.2142  0.1342  0.17
Francois 1956   34  0.5647  0.0025  0.0826  0.2919  0.4824  0.37
Friedman 1923   85  0.3670  0.0079  0.0467  0.0441  0.1365  0.07
Friedman 1923b   84  0.3677  0.0078  0.0373  0.0341  0.1073  0.05
Friedman 1930   61  0.4745  0.0055  0.0377  0.0322  0.3957  0.11
Garcia 2007   87  0.3267  0.0087  0.0462  0.0471  0.0483  0.04
Garcia 2007b   83  0.3883  0.0080  0.0374  0.0361  0.0487  0.03
Gierzod 1998   6  0.6238  0.009  0.134  0.5428  0.4111  0.47
Gornostaeva 1994   2  0.681  0.331  0.331  0.752  0.761  0.75
Groot 1988   27  0.5726  0.0016  0.0918  0.4019  0.4320  0.41
Harasiewicz 1955   5  0.645  0.033  0.163  0.6123  0.426  0.51
Hatto 1993   71  0.4585  0.0056  0.0379  0.0355  0.0684  0.04
Hatto 1997   51  0.5039  0.0043  0.0744  0.1423  0.3037  0.20
Horowitz 1949   79  0.4080  0.0083  0.0288  0.0282  0.0388  0.02
Indjic 1988   69  0.4674  0.0057  0.0380  0.0361  0.0580  0.04
Kapell 1951   29  0.5714  0.0123  0.1020  0.3924  0.3722  0.38
Kissin 1993   22  0.5849  0.0037  0.0738  0.1839  0.1546  0.16
Kushner 1989   17  0.5927  0.0032  0.0533  0.2342  0.1440  0.18
Luisada 1991   10  0.6150  0.0020  0.0914  0.4520  0.4812  0.46
Lushtak 2004   26  0.5730  0.0017  0.129  0.5017  0.488  0.49
Malcuzynski 1961   36  0.5487  0.0048  0.0846  0.0856  0.0566  0.06
Magaloff 1978   14  0.594  0.065  0.1315  0.449  0.4713  0.45
Magin 1975   13  0.6023  0.0015  0.1123  0.3025  0.3229  0.31
Michalowski 1933   66  0.4753  0.0068  0.0469  0.0439  0.2262  0.09
Milkina 1970   28  0.5733  0.0033  0.0729  0.2638  0.2135  0.23
Mohovich 1999   21  0.5835  0.0034  0.0630  0.2631  0.3231  0.29
Moravec 1969   56  0.4918  0.0153  0.0460  0.0421  0.3454  0.12
Morozova 2008   39  0.5369  0.0046  0.0751  0.0745  0.0668  0.06
Neighaus 1950   16  0.5922  0.016  0.105  0.5415  0.449  0.49
Niedzielski 1931   80  0.3956  0.0084  0.0387  0.0377  0.0385  0.03
Ohlsson 1999   25  0.5755  0.0036  0.0634  0.2142  0.1343  0.17
Osinska 1989   4  0.646  0.034  0.148  0.5010  0.524  0.51
Pachmann 1927   82  0.3886  0.0085  0.0386  0.0348  0.0770  0.05
Paderewski 1930   62  0.4731  0.0065  0.0465  0.0416  0.3256  0.11
Perlemuter 1992   41  0.5351  0.0047  0.0750  0.0723  0.3645  0.16
Pierdomenico 2008   63  0.4771  0.0060  0.0381  0.0337  0.1863  0.07
Poblocka 1999   31  0.5672  0.0039  0.0632  0.2439  0.2036  0.22
Rabcewiczowa 1932   37  0.5417  0.0128  0.0728  0.278  0.4925  0.36
Rachmaninoff 1923   58  0.4944  0.0049  0.0748  0.0738  0.1361  0.10
Rangell 2001   75  0.4454  0.0066  0.0468  0.0443  0.1164  0.07
Richter 1976   74  0.4465  0.0082  0.0384  0.0359  0.0579  0.04
Rosen 1989   11  0.617  0.0311  0.1019  0.3918  0.4319  0.41
Rosenthal 1930   49  0.5132  0.0054  0.0554  0.059  0.6044  0.17
Rosenthal 1931   64  0.4757  0.0069  0.0371  0.0310  0.6551  0.14
Rosenthal 1931b   72  0.4582  0.0071  0.0652  0.068  0.6438  0.20
Rosenthal 1931c   45  0.5243  0.0038  0.0639  0.167  0.6727  0.33
Rosenthal 1931d   70  0.4579  0.0070  0.0370  0.038  0.6553  0.14
Rossi 2007   68  0.4621  0.0164  0.0464  0.044  0.5549  0.15
Rubinstein 1939   81  0.3975  0.0081  0.0382  0.0350  0.0576  0.04
Rubinstein 1952   54  0.5011  0.0230  0.0640  0.1641  0.1648  0.16
Rubinstein 1966   40  0.5341  0.0050  0.0845  0.0830  0.3147  0.16
Schilhawsky 1960   44  0.5215  0.0159  0.0458  0.0450  0.0671  0.05
Shebanova 2002   48  0.5188  0.0067  0.0375  0.0356  0.0582  0.04
Smith 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sokolov 2002   24  0.5712  0.0122  0.1217  0.4211  0.4615  0.44
Sztompka 1959   15  0.5924  0.0018  0.0913  0.4619  0.3718  0.41
Tomsic 1995   42  0.5316  0.0129  0.0537  0.1817  0.3434  0.25
Uninsky 1932   57  0.4962  0.0062  0.0372  0.0357  0.0681  0.04
Uninsky 1971   32  0.5628  0.0044  0.0743  0.1437  0.1750  0.15
Wasowski 1980   60  0.4866  0.0061  0.0383  0.0355  0.0574  0.04
Zak 1937   52  0.5081  0.0058  0.0376  0.0364  0.0577  0.04
Zak 1951   47  0.5164  0.0051  0.0747  0.0757  0.0567  0.06
Random 1   89  -0.0768  0.0089  0.0189  0.0173  0.0290  0.01
Random 2   90  -0.0973  0.0090  0.0190  0.0187  0.0289  0.01
Random 3   88  0.0084  0.0088  0.0385  0.0311  0.4259  0.11

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).