Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   3  0.606  0.044  0.154  0.5810  0.534  0.55
Anderszewski 2003   45  0.4856  0.0059  0.0552  0.0558  0.0474  0.04
Ashkenazy 1981   25  0.523  0.087  0.1310  0.4818  0.4315  0.45
Bacha 2000   84  0.3172  0.0084  0.0383  0.0364  0.0570  0.04
Badura 1965   54  0.4647  0.0062  0.0464  0.0446  0.0768  0.05
Barbosa 1983   66  0.4435  0.0070  0.0469  0.0467  0.0573  0.04
Biret 1990   21  0.5225  0.0032  0.0731  0.2027  0.2734  0.23
Blet 2003   61  0.4575  0.0071  0.0479  0.0460  0.0575  0.04
Block 1995   68  0.4467  0.0068  0.0472  0.0449  0.0578  0.04
Blumental 1952   64  0.4439  0.0045  0.0555  0.0529  0.2346  0.11
Boshniakovich 1969   70  0.4264  0.0072  0.0473  0.0467  0.0579  0.04
Brailowsky 1960   33  0.5116  0.0156  0.0561  0.0528  0.3742  0.14
Bunin 1987   18  0.5224  0.0023  0.0823  0.328  0.5120  0.40
Bunin 1987b   29  0.5183  0.0029  0.1224  0.3110  0.5023  0.39
Chiu 1999   46  0.4845  0.0034  0.0535  0.1522  0.3931  0.24
Cohen 1997   87  0.1684  0.0087  0.0478  0.0473  0.0480  0.04
Cortot 1951   67  0.4480  0.0066  0.0474  0.0421  0.3744  0.12
Csalog 1996   86  0.2566  0.0086  0.0467  0.0474  0.0385  0.03
Czerny 1949   8  0.5778  0.0011  0.087  0.5221  0.4511  0.48
Czerny 1990   2  0.611  0.341  0.341  0.697  0.662  0.67
Duchoud 2007   47  0.4776  0.0043  0.0543  0.1024  0.3738  0.19
Ezaki 2006   7  0.575  0.066  0.1318  0.4328  0.3621  0.39
Falvay 1989   65  0.4457  0.0065  0.0463  0.0454  0.0661  0.05
Farrell 1958   28  0.5113  0.0131  0.0729  0.247  0.5025  0.35
Ferenczy 1958   80  0.3342  0.0081  0.0286  0.0285  0.0288  0.02
Fliere 1977   1  0.622  0.112  0.182  0.6422  0.465  0.54
Fou 1978   37  0.4918  0.0148  0.0647  0.0658  0.0562  0.05
Francois 1956   22  0.5237  0.0038  0.0536  0.1327  0.3835  0.22
Friedman 1923   36  0.507  0.0326  0.1028  0.283  0.6619  0.43
Friedman 1923b   35  0.5026  0.0025  0.0725  0.303  0.6816  0.45
Friedman 1930   19  0.5231  0.0020  0.0921  0.376  0.5814  0.46
Garcia 2007   73  0.3981  0.0074  0.0477  0.0432  0.2152  0.09
Garcia 2007b   77  0.3655  0.0075  0.0470  0.0456  0.0482  0.04
Gierzod 1998   63  0.4451  0.0050  0.0648  0.0650  0.0567  0.05
Gornostaeva 1994   34  0.5038  0.0040  0.0537  0.1334  0.2440  0.18
Groot 1988   11  0.558  0.039  0.119  0.5014  0.4513  0.47
Harasiewicz 1955   10  0.5521  0.0115  0.1013  0.4738  0.2127  0.31
Hatto 1993   69  0.4389  0.0060  0.0549  0.0549  0.0759  0.06
Hatto 1997   49  0.4758  0.0053  0.0557  0.0547  0.0666  0.05
Horowitz 1949   5  0.5819  0.018  0.136  0.531  0.713  0.61
Indjic 1988   59  0.4574  0.0057  0.0468  0.0457  0.0665  0.05
Kapell 1951   39  0.4930  0.0041  0.0540  0.1144  0.0949  0.10
Kissin 1993   48  0.4753  0.0047  0.0553  0.0563  0.0564  0.05
Kushner 1989   38  0.4946  0.0046  0.0466  0.0455  0.0663  0.05
Luisada 1991   24  0.5228  0.0039  0.0441  0.1044  0.1245  0.11
Lushtak 2004   50  0.4768  0.0055  0.0550  0.0550  0.0669  0.05
Malcuzynski 1961   14  0.5514  0.0114  0.0812  0.4814  0.4017  0.44
Magaloff 1978   12  0.5515  0.0117  0.0915  0.4516  0.4118  0.43
Magin 1975   32  0.5154  0.0018  0.1119  0.4020  0.3922  0.39
Michalowski 1933   74  0.3879  0.0069  0.0471  0.0445  0.0857  0.06
Milkina 1970   51  0.4770  0.0064  0.0551  0.0551  0.0756  0.06
Mohovich 1999   42  0.4849  0.0036  0.0539  0.1244  0.1147  0.11
Moravec 1969   26  0.5211  0.0210  0.0920  0.409  0.598  0.49
Morozova 2008   6  0.5822  0.015  0.135  0.555  0.527  0.53
Neighaus 1950   23  0.5220  0.0127  0.0926  0.3032  0.2130  0.25
Niedzielski 1931   17  0.5312  0.0119  0.0916  0.452  0.666  0.54
Ohlsson 1999   31  0.5144  0.0033  0.0532  0.2050  0.0551  0.10
Osinska 1989   55  0.4633  0.0063  0.0560  0.0552  0.0660  0.05
Pachmann 1927   81  0.3382  0.0085  0.0382  0.0362  0.0572  0.04
Paderewski 1930   79  0.3450  0.0082  0.0287  0.0278  0.0387  0.02
Perlemuter 1992   41  0.4962  0.0030  0.0830  0.2227  0.3329  0.27
Pierdomenico 2008   78  0.3560  0.0073  0.0475  0.0440  0.1553  0.08
Poblocka 1999   58  0.4565  0.0058  0.0465  0.0456  0.0571  0.04
Rabcewiczowa 1932   43  0.4848  0.0024  0.0733  0.1922  0.3032  0.24
Rachmaninoff 1923   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rangell 2001   85  0.3190  0.0083  0.0385  0.0373  0.0386  0.03
Richter 1976   57  0.4573  0.0061  0.0558  0.0539  0.1950  0.10
Rosen 1989   56  0.4627  0.0044  0.0444  0.0850  0.0655  0.07
Rosenthal 1930   4  0.584  0.073  0.143  0.625  0.741  0.68
Rosenthal 1931   62  0.4423  0.0054  0.0556  0.057  0.6639  0.18
Rosenthal 1931b   60  0.4517  0.0151  0.0645  0.066  0.6637  0.20
Rosenthal 1931c   44  0.4861  0.0035  0.0534  0.169  0.6326  0.32
Rosenthal 1931d   53  0.4663  0.0052  0.0646  0.065  0.7036  0.20
Rossi 2007   76  0.3785  0.0076  0.0559  0.0522  0.3143  0.12
Rubinstein 1939   75  0.3829  0.0078  0.0380  0.0370  0.0483  0.03
Rubinstein 1952   83  0.3259  0.0079  0.0476  0.0467  0.0481  0.04
Rubinstein 1966   71  0.4132  0.0077  0.0462  0.0472  0.0476  0.04
Schilhawsky 1960   13  0.5536  0.0016  0.1014  0.4620  0.4812  0.47
Shebanova 2002   72  0.4171  0.0067  0.0381  0.0357  0.0577  0.04
Smith 1975   40  0.4952  0.0037  0.0538  0.1348  0.0748  0.10
Sokolov 2002   16  0.5441  0.0013  0.078  0.505  0.489  0.49
Sztompka 1959   15  0.5434  0.0022  0.0917  0.4421  0.3124  0.37
Tomsic 1995   82  0.3340  0.0080  0.0384  0.0384  0.0384  0.03
Uninsky 1932   9  0.5610  0.0212  0.0811  0.4810  0.5110  0.49
Uninsky 1971   52  0.4686  0.0049  0.0554  0.0547  0.0758  0.06
Wasowski 1980   30  0.519  0.0242  0.0542  0.1026  0.2841  0.17
Zak 1937   27  0.5143  0.0028  0.0927  0.2938  0.1933  0.23
Zak 1951   20  0.5288  0.0021  0.0822  0.3537  0.2228  0.28
Random 1   90  -0.0787  0.0089  0.0189  0.0159  0.0489  0.02
Random 2   88  0.0069  0.0088  0.0288  0.0222  0.3054  0.08
Random 3   89  -0.0677  0.0090  0.0190  0.0182  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).