Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   22  0.4529  0.0029  0.0730  0.3173  0.0334  0.10
Anderszewski 2003   75  0.2930  0.0065  0.0559  0.0584  0.0360  0.04
Ashkenazy 1981   59  0.3662  0.0059  0.0556  0.0589  0.0281  0.03
Bacha 2000   47  0.3834  0.0064  0.0560  0.0586  0.0354  0.04
Badura 1965   58  0.3633  0.0036  0.0637  0.2079  0.0339  0.08
Barbosa 1983   43  0.4070  0.0025  0.0821  0.3959  0.0523  0.14
Biret 1990   49  0.3882  0.0061  0.0557  0.0586  0.0282  0.03
Blet 2003   48  0.3837  0.0066  0.0654  0.0683  0.0361  0.04
Block 1995   46  0.3966  0.0047  0.0748  0.0780  0.0352  0.05
Blumental 1952   88  0.2190  0.0087  0.0383  0.0372  0.0480  0.03
Boshniakovich 1969   4  0.541  0.231  0.236  0.6345  0.113  0.26
Brailowsky 1960   40  0.4142  0.0062  0.0651  0.0685  0.0355  0.04
Bunin 1987   21  0.4514  0.0216  0.1315  0.4851  0.0615  0.17
Bunin 1987b   25  0.4518  0.0115  0.1214  0.4944  0.106  0.22
Chiu 1999   12  0.4815  0.015  0.157  0.5641  0.171  0.31
Cohen 1997   71  0.3126  0.0063  0.0468  0.0456  0.0565  0.04
Cortot 1951   87  0.2185  0.0088  0.0288  0.0288  0.0290  0.02
Csalog 1996   34  0.4225  0.0126  0.0820  0.4040  0.144  0.24
Czerny 1949   64  0.3383  0.0072  0.0380  0.0385  0.0377  0.03
Czerny 1990   45  0.4056  0.0049  0.0564  0.0569  0.0467  0.04
Duchoud 2007   63  0.3463  0.0067  0.0652  0.0666  0.0451  0.05
Ezaki 2006   33  0.4389  0.0044  0.0642  0.1485  0.0344  0.06
Falvay 1989   11  0.4943  0.0017  0.1416  0.4751  0.0611  0.17
Farrell 1958   44  0.4044  0.0038  0.0636  0.2069  0.0436  0.09
Ferenczy 1958   72  0.3091  0.0084  0.0384  0.0382  0.0289  0.02
Fliere 1977   3  0.544  0.083  0.213  0.6962  0.0410  0.17
Fou 1978   2  0.542  0.162  0.191  0.7262  0.058  0.19
Francois 1956   37  0.4152  0.0052  0.0747  0.0784  0.0353  0.05
Friedman 1923   84  0.2467  0.0085  0.0382  0.0371  0.0487  0.03
Friedman 1923b   83  0.2648  0.0082  0.0478  0.0479  0.0466  0.04
Friedman 1930   79  0.2923  0.0177  0.0475  0.0484  0.0376  0.03
Garcia 2007   78  0.2979  0.0079  0.0381  0.0384  0.0378  0.03
Garcia 2007b   85  0.2478  0.0081  0.0471  0.0479  0.0386  0.03
Gierzod 1998   35  0.4250  0.0033  0.0639  0.1872  0.0342  0.07
Gornostaeva 1994   23  0.4532  0.0034  0.0633  0.2385  0.0243  0.07
Groot 1988   24  0.4541  0.0022  0.0725  0.3569  0.0425  0.12
Harasiewicz 1955   28  0.4428  0.0021  0.0923  0.3880  0.0328  0.11
Hatto 1993   74  0.2986  0.0058  0.0562  0.0575  0.0468  0.04
Hatto 1997   68  0.3127  0.0056  0.0561  0.0583  0.0363  0.04
Horowitz 1949   51  0.3745  0.0048  0.0846  0.0884  0.0348  0.05
Indjic 1988   67  0.3180  0.0057  0.0467  0.0472  0.0459  0.04
Kapell 1951   41  0.4024  0.0151  0.0653  0.0684  0.0358  0.04
Kissin 1993   8  0.4919  0.0112  0.0912  0.5067  0.0518  0.16
Kushner 1989   31  0.4346  0.0040  0.0634  0.2282  0.0338  0.08
Luisada 1991   54  0.3777  0.0055  0.0470  0.0486  0.0370  0.03
Lushtak 2004   15  0.473  0.099  0.1513  0.5045  0.125  0.24
Malcuzynski 1961   20  0.4547  0.0024  0.0828  0.3479  0.0331  0.10
Magaloff 1978   16  0.478  0.038  0.218  0.5566  0.0419  0.15
Magin 1975   56  0.3636  0.0037  0.0643  0.1384  0.0345  0.06
Michalowski 1933   76  0.2931  0.0073  0.0385  0.0380  0.0374  0.03
Milkina 1970   26  0.4440  0.0032  0.0726  0.3585  0.0330  0.10
Mohovich 1999   13  0.4857  0.0020  0.0822  0.3881  0.0327  0.11
Moravec 1969   73  0.3059  0.0083  0.0287  0.0271  0.0469  0.03
Morozova 2008   52  0.3761  0.0046  0.0655  0.0685  0.0362  0.04
Neighaus 1950   6  0.5010  0.0310  0.119  0.5558  0.0516  0.17
Niedzielski 1931   69  0.3171  0.0080  0.0479  0.0481  0.0372  0.03
Ohlsson 1999   30  0.4320  0.0127  0.0829  0.3386  0.0332  0.10
Osinska 1989   29  0.4339  0.0042  0.0540  0.1785  0.0340  0.07
Pachmann 1927   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Paderewski 1930   19  0.459  0.0311  0.1019  0.4336  0.182  0.28
Perlemuter 1992   18  0.4638  0.0030  0.0631  0.2765  0.0429  0.10
Pierdomenico 2008   38  0.4122  0.0131  0.0635  0.2242  0.1312  0.17
Poblocka 1999   32  0.4335  0.0041  0.0638  0.2074  0.0435  0.09
Rabcewiczowa 1932   55  0.3768  0.0053  0.0558  0.0574  0.0357  0.04
Rachmaninoff 1923   65  0.3387  0.0069  0.0563  0.0583  0.0356  0.04
Rangell 2001   42  0.4064  0.0028  0.0727  0.3450  0.0624  0.14
Richter 1976   14  0.4811  0.0319  0.1217  0.4657  0.0520  0.15
Rosen 1989   17  0.4717  0.0123  0.0924  0.3777  0.0326  0.11
Rosenthal 1930   80  0.2884  0.0078  0.0472  0.0488  0.0279  0.03
Rosenthal 1931   81  0.2765  0.0076  0.0476  0.0483  0.0375  0.03
Rosenthal 1931b   82  0.2775  0.0075  0.0465  0.0483  0.0284  0.03
Rosenthal 1931c   70  0.3174  0.0074  0.0473  0.0478  0.0385  0.03
Rosenthal 1931d   77  0.2954  0.0071  0.0477  0.0471  0.0383  0.03
Rossi 2007   86  0.2355  0.0086  0.0386  0.0387  0.0288  0.02
Rubinstein 1939   62  0.3513  0.0235  0.0741  0.1743  0.1122  0.14
Rubinstein 1952   27  0.4412  0.0214  0.1110  0.5147  0.087  0.20
Rubinstein 1966   36  0.4272  0.0045  0.0645  0.1265  0.0441  0.07
Schilhawsky 1960   39  0.4158  0.0039  0.0632  0.2474  0.0433  0.10
Shebanova 2002   10  0.4921  0.0118  0.1018  0.4661  0.0521  0.15
Smith 1975   50  0.3853  0.0060  0.0749  0.0787  0.0347  0.05
Sokolov 2002   61  0.3551  0.0054  0.0469  0.0475  0.0371  0.03
Sztompka 1959   57  0.3649  0.0068  0.0466  0.0487  0.0273  0.03
Tomsic 1995   9  0.4916  0.0113  0.1011  0.5152  0.0613  0.17
Uninsky 1932   66  0.3376  0.0070  0.0474  0.0472  0.0464  0.04
Uninsky 1971   53  0.3769  0.0050  0.0650  0.0670  0.0449  0.05
Wasowski 1980   60  0.3560  0.0043  0.0644  0.1359  0.0537  0.08
Zak 1937   5  0.517  0.047  0.254  0.6473  0.0417  0.16
Zak 1951   7  0.505  0.056  0.185  0.6465  0.059  0.18
Average   1  0.576  0.044  0.212  0.7074  0.0414  0.17
Random 1   90  -0.0573  0.0090  0.0190  0.0118  0.3446  0.06
Random 2   89  -0.0581  0.0089  0.0189  0.0131  0.2350  0.05
Random 3   91  -0.0788  0.0091  0.0191  0.0179  0.0291  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).