Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   50  0.3739  0.0045  0.0557  0.0575  0.0362  0.04
Anderszewski 2003   20  0.4184  0.0016  0.0812  0.4677  0.0317  0.12
Ashkenazy 1981   16  0.4177  0.0027  0.0733  0.2180  0.0337  0.08
Bacha 2000   58  0.3528  0.0064  0.0375  0.0371  0.0466  0.03
Badura 1965   86  0.2555  0.0079  0.0380  0.0384  0.0379  0.03
Barbosa 1983   69  0.3233  0.0060  0.0468  0.0460  0.0558  0.04
Biret 1990   22  0.4152  0.0028  0.0725  0.2781  0.0330  0.09
Blet 2003   48  0.3714  0.0050  0.0653  0.0675  0.0450  0.05
Block 1995   13  0.436  0.014  0.1510  0.5155  0.0414  0.14
Blumental 1952   37  0.398  0.0130  0.0729  0.2176  0.0336  0.08
Boshniakovich 1969   3  0.492  0.052  0.293  0.7136  0.232  0.40
Brailowsky 1960   68  0.3275  0.0080  0.0469  0.0480  0.0368  0.03
Bunin 1987   66  0.3351  0.0071  0.0466  0.0481  0.0382  0.03
Bunin 1987b   65  0.3462  0.0070  0.0378  0.0381  0.0372  0.03
Chiu 1999   44  0.3811  0.0038  0.0640  0.1478  0.0344  0.06
Cohen 1997   83  0.2724  0.0078  0.0384  0.0362  0.0481  0.03
Cortot 1951   51  0.3783  0.0056  0.0648  0.0667  0.0454  0.05
Csalog 1996   78  0.2817  0.0058  0.0558  0.0580  0.0360  0.04
Czerny 1949   75  0.3171  0.0072  0.0462  0.0478  0.0377  0.03
Czerny 1990   35  0.3981  0.0049  0.0649  0.0670  0.0453  0.05
Duchoud 2007   29  0.4056  0.0041  0.0636  0.1859  0.0435  0.08
Ezaki 2006   64  0.3486  0.0075  0.0374  0.0370  0.0465  0.03
Falvay 1989   73  0.3173  0.0069  0.0382  0.0371  0.0470  0.03
Farrell 1958   23  0.4118  0.0015  0.0813  0.4342  0.136  0.24
Ferenczy 1958   72  0.3166  0.0077  0.0459  0.0478  0.0276  0.03
Fliere 1977   2  0.5113  0.003  0.272  0.7454  0.058  0.19
Fou 1978   24  0.4047  0.0042  0.0541  0.1372  0.0442  0.07
Francois 1956   80  0.2879  0.0073  0.0461  0.0479  0.0387  0.03
Friedman 1923   60  0.3516  0.0063  0.0377  0.0351  0.0664  0.04
Friedman 1923b   57  0.3543  0.0062  0.0376  0.0364  0.0563  0.04
Friedman 1930   61  0.3529  0.0066  0.0373  0.0361  0.0561  0.04
Garcia 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Garcia 2007b   1  0.621  0.821  0.811  0.901  0.871  0.88
Gierzod 1998   27  0.4046  0.0017  0.0716  0.3675  0.0327  0.10
Gornostaeva 1994   43  0.3858  0.0054  0.0654  0.0687  0.0283  0.03
Groot 1988   55  0.3645  0.0018  0.0731  0.2175  0.0339  0.08
Harasiewicz 1955   9  0.445  0.018  0.219  0.5668  0.0413  0.15
Hatto 1993   28  0.4031  0.0031  0.0624  0.2753  0.0616  0.13
Hatto 1997   54  0.3678  0.0052  0.0647  0.0675  0.0451  0.05
Horowitz 1949   56  0.3582  0.0065  0.0464  0.0474  0.0373  0.03
Indjic 1988   34  0.3967  0.0032  0.0828  0.2559  0.0523  0.11
Kapell 1951   8  0.4412  0.0011  0.224  0.6271  0.0412  0.16
Kissin 1993   53  0.3663  0.0061  0.0463  0.0484  0.0375  0.03
Kushner 1989   7  0.4420  0.007  0.158  0.5966  0.0510  0.17
Luisada 1991   15  0.4187  0.0039  0.0539  0.1580  0.0340  0.07
Lushtak 2004   30  0.4072  0.0044  0.0544  0.0979  0.0352  0.05
Malcuzynski 1961   39  0.3834  0.0035  0.0734  0.2182  0.0332  0.08
Magaloff 1978   62  0.3454  0.0067  0.0470  0.0482  0.0369  0.03
Magin 1975   32  0.3988  0.0040  0.0537  0.1686  0.0341  0.07
Michalowski 1933   52  0.3640  0.0048  0.0556  0.0552  0.0648  0.05
Milkina 1970   67  0.3364  0.0057  0.0651  0.0686  0.0357  0.04
Mohovich 1999   5  0.4532  0.0010  0.197  0.6154  0.077  0.21
Moravec 1969   74  0.3141  0.0068  0.0385  0.0384  0.0367  0.03
Morozova 2008   25  0.4019  0.0025  0.1020  0.3278  0.0424  0.11
Neighaus 1950   17  0.4123  0.0043  0.0542  0.1276  0.0443  0.07
Niedzielski 1931   33  0.394  0.015  0.1614  0.4225  0.333  0.37
Ohlsson 1999   41  0.3865  0.0023  0.0735  0.2084  0.0333  0.08
Osinska 1989   19  0.4138  0.0022  0.0727  0.2657  0.0520  0.11
Pachmann 1927   76  0.2925  0.0083  0.0383  0.0380  0.0374  0.03
Paderewski 1930   45  0.3826  0.0047  0.0655  0.0647  0.0547  0.05
Perlemuter 1992   6  0.4535  0.009  0.185  0.6141  0.144  0.29
Pierdomenico 2008   14  0.423  0.0113  0.0717  0.3631  0.245  0.29
Poblocka 1999   18  0.4127  0.0024  0.0919  0.3365  0.0515  0.13
Rabcewiczowa 1932   47  0.3748  0.0051  0.0652  0.0670  0.0445  0.05
Rachmaninoff 1923   38  0.3976  0.0034  0.0632  0.2177  0.0429  0.09
Rangell 2001   49  0.3759  0.0037  0.0643  0.1145  0.0638  0.08
Richter 1976   26  0.4010  0.0033  0.0630  0.2155  0.0526  0.10
Rosen 1989   10  0.447  0.0120  0.0718  0.3379  0.0328  0.10
Rosenthal 1930   77  0.2836  0.0086  0.0379  0.0379  0.0378  0.03
Rosenthal 1931   87  0.2389  0.0087  0.0467  0.0453  0.0459  0.04
Rosenthal 1931b   79  0.2880  0.0082  0.0381  0.0386  0.0289  0.02
Rosenthal 1931c   84  0.2737  0.0085  0.0387  0.0386  0.0385  0.03
Rosenthal 1931d   81  0.2770  0.0084  0.0386  0.0376  0.0384  0.03
Rossi 2007   70  0.3249  0.0055  0.0845  0.0845  0.0831  0.08
Rubinstein 1939   85  0.2660  0.0081  0.0465  0.0484  0.0371  0.03
Rubinstein 1952   82  0.2768  0.0074  0.0372  0.0374  0.0486  0.03
Rubinstein 1966   40  0.389  0.0136  0.0738  0.1678  0.0434  0.08
Schilhawsky 1960   42  0.3821  0.0029  0.0626  0.2760  0.0518  0.12
Shebanova 2002   11  0.4422  0.0012  0.1311  0.4951  0.0611  0.17
Smith 1975   71  0.3261  0.0076  0.0471  0.0462  0.0456  0.04
Sokolov 2002   63  0.3469  0.0059  0.0460  0.0464  0.0455  0.04
Sztompka 1959   4  0.4642  0.006  0.196  0.6153  0.069  0.19
Tomsic 1995   59  0.3553  0.0053  0.0650  0.0670  0.0446  0.05
Uninsky 1932   12  0.4350  0.0026  0.0815  0.3874  0.0419  0.12
Uninsky 1971   46  0.3730  0.0046  0.0746  0.0773  0.0449  0.05
Wasowski 1980   36  0.3944  0.0021  0.0623  0.2781  0.0425  0.10
Zak 1937   21  0.4115  0.0014  0.0921  0.3177  0.0421  0.11
Zak 1951   31  0.3957  0.0019  0.0722  0.2973  0.0422  0.11
Random 1   90  -0.1074  0.0088  0.0288  0.0252  0.0480  0.03
Random 2   89  -0.0790  0.0089  0.0189  0.0178  0.0290  0.01
Random 3   88  -0.0785  0.0090  0.0190  0.0164  0.0388  0.02

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).