Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   2  0.705  0.022  0.214  0.662  0.704  0.68
Anderszewski 2003   29  0.6042  0.0030  0.0732  0.3021  0.4232  0.35
Ashkenazy 1981   35  0.5938  0.0038  0.0640  0.1937  0.2343  0.21
Bacha 2000   52  0.5358  0.0063  0.0468  0.044  0.6051  0.15
Badura 1965   42  0.5764  0.0044  0.0643  0.139  0.5639  0.27
Barbosa 1983   34  0.5917  0.0018  0.0718  0.444  0.6512  0.53
Biret 1990   25  0.6122  0.0029  0.0826  0.4013  0.5017  0.45
Blet 2003   51  0.5461  0.0061  0.0464  0.0426  0.2863  0.11
Block 1995   59  0.5229  0.0068  0.0560  0.0531  0.2364  0.11
Blumental 1952   58  0.5215  0.0025  0.0738  0.2118  0.3240  0.26
Boshniakovich 1969   50  0.5474  0.0066  0.0559  0.0567  0.0485  0.04
Brailowsky 1960   30  0.6011  0.0145  0.0644  0.1210  0.6238  0.27
Bunin 1987   53  0.5371  0.0057  0.0472  0.0419  0.4158  0.13
Bunin 1987b   54  0.5366  0.0054  0.0467  0.0415  0.4557  0.13
Chiu 1999   55  0.5379  0.0062  0.0561  0.0530  0.3456  0.13
Cohen 1997   83  0.3947  0.0082  0.0383  0.0334  0.2471  0.08
Cortot 1951   62  0.5130  0.0067  0.0652  0.0625  0.3455  0.14
Csalog 1996   79  0.4180  0.0078  0.0380  0.0354  0.0584  0.04
Czerny 1949   5  0.672  0.023  0.196  0.626  0.666  0.64
Czerny 1990   6  0.679  0.016  0.148  0.5911  0.617  0.60
Duchoud 2007   69  0.4778  0.0070  0.0649  0.0640  0.1766  0.10
Ezaki 2006   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Falvay 1989   21  0.626  0.0123  0.0730  0.349  0.5818  0.44
Farrell 1958   56  0.5337  0.0055  0.0470  0.0431  0.2565  0.10
Ferenczy 1958   40  0.5850  0.0051  0.0654  0.066  0.5748  0.18
Fliere 1977   7  0.6635  0.0015  0.0914  0.4933  0.3620  0.42
Fou 1978   16  0.634  0.0210  0.1117  0.4524  0.3921  0.42
Francois 1956   46  0.5639  0.0031  0.0737  0.2317  0.4934  0.34
Friedman 1923   85  0.3889  0.0081  0.0381  0.0344  0.1175  0.06
Friedman 1923b   84  0.3885  0.0080  0.0475  0.0457  0.0586  0.04
Friedman 1930   73  0.4686  0.0069  0.0562  0.0531  0.2761  0.12
Garcia 2007   87  0.3490  0.0088  0.0471  0.0475  0.0389  0.03
Garcia 2007b   88  0.3369  0.0087  0.0386  0.0386  0.0390  0.03
Gierzod 1998   11  0.6421  0.0013  0.1112  0.5024  0.4415  0.47
Gornostaeva 1994   10  0.6514  0.0011  0.1110  0.516  0.678  0.58
Groot 1988   37  0.5927  0.0035  0.0833  0.2823  0.3935  0.33
Harasiewicz 1955   8  0.6641  0.004  0.167  0.6013  0.4811  0.54
Hatto 1993   67  0.5057  0.0059  0.0653  0.0667  0.0579  0.05
Hatto 1997   45  0.5631  0.0037  0.1034  0.2416  0.3536  0.29
Horowitz 1949   74  0.4562  0.0077  0.0476  0.0451  0.0582  0.04
Indjic 1988   65  0.5172  0.0058  0.0466  0.0456  0.0677  0.05
Kapell 1951   36  0.5954  0.0020  0.0719  0.4316  0.4023  0.41
Kissin 1993   12  0.6420  0.0021  0.0823  0.4123  0.4519  0.43
Kushner 1989   27  0.6152  0.0040  0.0739  0.2036  0.2044  0.20
Luisada 1991   20  0.6244  0.0039  0.0936  0.2332  0.3137  0.27
Lushtak 2004   23  0.6155  0.0027  0.0728  0.3819  0.4722  0.42
Malcuzynski 1961   9  0.6610  0.015  0.163  0.674  0.675  0.67
Magaloff 1978   22  0.6224  0.0036  0.1031  0.3216  0.4231  0.37
Magin 1975   43  0.5767  0.0041  0.0741  0.1931  0.2642  0.22
Michalowski 1933   86  0.3875  0.0079  0.0379  0.0352  0.0683  0.04
Milkina 1970   19  0.6213  0.0026  0.0722  0.4223  0.4124  0.41
Mohovich 1999   4  0.6819  0.007  0.182  0.683  0.751  0.71
Moravec 1969   57  0.5336  0.0050  0.0748  0.0713  0.4546  0.18
Morozova 2008   15  0.6340  0.0014  0.0821  0.4215  0.4025  0.41
Neighaus 1950   38  0.5856  0.0043  0.0642  0.1442  0.1359  0.13
Niedzielski 1931   80  0.4053  0.0085  0.0382  0.0368  0.0387  0.03
Ohlsson 1999   26  0.6133  0.0028  0.0920  0.4225  0.3628  0.39
Osinska 1989   13  0.6443  0.0019  0.0813  0.5015  0.5014  0.50
Pachmann 1927   78  0.4382  0.0083  0.0385  0.0342  0.1473  0.06
Paderewski 1930   81  0.4087  0.0086  0.0388  0.0382  0.0388  0.03
Perlemuter 1992   60  0.5249  0.0064  0.0563  0.0546  0.0676  0.05
Pierdomenico 2008   76  0.4476  0.0075  0.0384  0.0344  0.1172  0.06
Poblocka 1999   17  0.6312  0.0022  0.1024  0.4123  0.3726  0.39
Rabcewiczowa 1932   44  0.5628  0.0048  0.0746  0.0719  0.3750  0.16
Rachmaninoff 1923   41  0.5718  0.0034  0.1029  0.3619  0.4327  0.39
Rangell 2001   61  0.528  0.0142  0.0645  0.125  0.5641  0.26
Richter 1976   68  0.5081  0.0073  0.0478  0.0444  0.1567  0.08
Rosen 1989   14  0.6416  0.009  0.119  0.547  0.599  0.56
Rosenthal 1930   64  0.5163  0.0056  0.0474  0.0411  0.6053  0.15
Rosenthal 1931   72  0.4646  0.0053  0.0557  0.057  0.6747  0.18
Rosenthal 1931b   77  0.4359  0.0071  0.0469  0.0412  0.5954  0.15
Rosenthal 1931c   63  0.5123  0.0052  0.0558  0.059  0.6449  0.18
Rosenthal 1931d   75  0.4425  0.0072  0.0747  0.0712  0.6045  0.20
Rossi 2007   71  0.4734  0.0074  0.0473  0.046  0.5452  0.15
Rubinstein 1939   82  0.4088  0.0084  0.0387  0.0350  0.0581  0.04
Rubinstein 1952   66  0.5045  0.0049  0.0656  0.0649  0.0774  0.06
Rubinstein 1966   33  0.5951  0.0024  0.0935  0.2318  0.5233  0.35
Schilhawsky 1960   47  0.5591  0.0060  0.0650  0.0640  0.2360  0.12
Shebanova 2002   48  0.5526  0.0065  0.0465  0.0447  0.0778  0.05
Smith 1975   3  0.693  0.028  0.235  0.663  0.713  0.68
Sokolov 2002   28  0.617  0.0117  0.0811  0.514  0.5213  0.51
Sztompka 1959   39  0.5868  0.0047  0.0655  0.0642  0.1168  0.08
Tomsic 1995   18  0.6232  0.0012  0.0916  0.465  0.6310  0.54
Uninsky 1932   49  0.5565  0.0046  0.0651  0.0631  0.2662  0.12
Uninsky 1971   31  0.6060  0.0032  0.0725  0.4023  0.3730  0.38
Wasowski 1980   70  0.4784  0.0076  0.0477  0.0466  0.0480  0.04
Zak 1937   32  0.6077  0.0033  0.0727  0.3825  0.3929  0.38
Zak 1951   24  0.6148  0.0016  0.0815  0.4718  0.4516  0.46
Average   1  0.801  0.791  0.781  0.9111  0.522  0.69
Random 1   91  -0.0683  0.0091  0.0191  0.0154  0.0491  0.02
Random 2   89  -0.0173  0.0089  0.0290  0.0219  0.3469  0.08
Random 3   90  -0.0270  0.0090  0.0289  0.0216  0.3670  0.08

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).