Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   15  0.5235  0.0023  0.0728  0.3246  0.0639  0.14
Anderszewski 2003   54  0.4355  0.0040  0.0937  0.2038  0.1333  0.16
Ashkenazy 1981   51  0.4453  0.0061  0.0563  0.0554  0.0566  0.05
Bacha 2000   55  0.4348  0.0047  0.0649  0.0624  0.3735  0.15
Badura 1965   53  0.4367  0.0058  0.0469  0.0451  0.0665  0.05
Barbosa 1983   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Biret 1990   20  0.506  0.0513  0.149  0.5317  0.408  0.46
Blet 2003   7  0.5622  0.017  0.1215  0.446  0.527  0.48
Block 1995   68  0.3714  0.0154  0.0476  0.0451  0.0575  0.04
Blumental 1952   62  0.4123  0.0164  0.0566  0.0561  0.0476  0.04
Boshniakovich 1969   58  0.4352  0.0056  0.0478  0.0455  0.0577  0.04
Brailowsky 1960   31  0.4717  0.0118  0.0640  0.1924  0.3821  0.27
Bunin 1987   47  0.4550  0.0050  0.0653  0.0638  0.1549  0.09
Bunin 1987b   49  0.4468  0.0051  0.0747  0.0738  0.1645  0.11
Chiu 1999   2  0.602  0.142  0.271  0.703  0.691  0.69
Cohen 1997   71  0.3684  0.0073  0.0556  0.0529  0.2547  0.11
Cortot 1951   69  0.3773  0.0071  0.0475  0.0473  0.0479  0.04
Csalog 1996   63  0.4066  0.0041  0.0741  0.1426  0.3525  0.22
Czerny 1949   48  0.4513  0.0159  0.0468  0.0472  0.0473  0.04
Czerny 1990   13  0.5316  0.0115  0.0912  0.4747  0.0730  0.18
Duchoud 2007   61  0.4280  0.0062  0.0652  0.0649  0.0657  0.06
Ezaki 2006   3  0.598  0.045  0.153  0.6517  0.444  0.53
Falvay 1989   17  0.5128  0.0019  0.0821  0.3730  0.3216  0.34
Farrell 1958   33  0.4726  0.0045  0.0472  0.0443  0.1152  0.07
Ferenczy 1958   44  0.4585  0.0053  0.0650  0.0624  0.3338  0.14
Fliere 1977   10  0.5410  0.0212  0.1310  0.5355  0.0532  0.16
Fou 1978   19  0.507  0.0514  0.1216  0.4436  0.2219  0.31
Francois 1956   35  0.4777  0.0044  0.0444  0.0945  0.0654  0.07
Friedman 1923   77  0.3124  0.0080  0.0471  0.0456  0.0581  0.04
Friedman 1923b   76  0.3157  0.0079  0.0473  0.0476  0.0478  0.04
Friedman 1930   73  0.3532  0.0068  0.0746  0.0759  0.0556  0.06
Garcia 2007   75  0.3278  0.0077  0.0560  0.0568  0.0474  0.04
Garcia 2007b   79  0.2986  0.0076  0.0480  0.0476  0.0480  0.04
Gierzod 1998   38  0.4654  0.0048  0.0470  0.0474  0.0386  0.03
Gornostaeva 1994   39  0.4630  0.0037  0.0735  0.2439  0.1626  0.20
Groot 1988   11  0.549  0.0210  0.155  0.5918  0.436  0.50
Harasiewicz 1955   12  0.5318  0.0117  0.0623  0.3747  0.0734  0.16
Hatto 1993   41  0.4621  0.0135  0.1032  0.2542  0.1231  0.17
Hatto 1997   34  0.4747  0.0033  0.0829  0.2941  0.1129  0.18
Horowitz 1949   72  0.3558  0.0074  0.0474  0.0485  0.0383  0.03
Indjic 1988   37  0.4611  0.0234  0.1130  0.2841  0.1327  0.19
Kapell 1951   18  0.5120  0.0111  0.126  0.5831  0.289  0.40
Kissin 1993   45  0.4525  0.0057  0.0562  0.0556  0.0663  0.05
Kushner 1989   26  0.4887  0.0043  0.0543  0.1065  0.0553  0.07
Luisada 1991   9  0.5440  0.0020  0.1117  0.4334  0.3112  0.37
Lushtak 2004   1  0.601  0.191  0.184  0.637  0.553  0.59
Malcuzynski 1961   66  0.3819  0.0167  0.0745  0.0770  0.0461  0.05
Magaloff 1978   52  0.4441  0.0042  0.0642  0.1151  0.0551  0.07
Magin 1975   74  0.3472  0.0069  0.0651  0.0680  0.0370  0.04
Michalowski 1933   83  0.2479  0.0078  0.0477  0.0478  0.0384  0.03
Milkina 1970   36  0.4738  0.0032  0.0827  0.3439  0.1623  0.23
Mohovich 1999   5  0.564  0.084  0.138  0.5723  0.455  0.51
Moravec 1969   59  0.4361  0.0066  0.0554  0.0556  0.0467  0.04
Morozova 2008   14  0.5337  0.0024  0.0720  0.3836  0.1722  0.25
Neighaus 1950   42  0.4570  0.0031  0.0838  0.2046  0.0744  0.12
Niedzielski 1931   70  0.3639  0.0072  0.0555  0.0576  0.0369  0.04
Ohlsson 1999   30  0.4845  0.0025  0.0719  0.3940  0.1324  0.23
Osinska 1989   27  0.4860  0.0036  0.0731  0.2861  0.0541  0.12
Pachmann 1927   65  0.4064  0.0063  0.0558  0.0520  0.3937  0.14
Paderewski 1930   78  0.3089  0.0075  0.0384  0.0349  0.0572  0.04
Perlemuter 1992   29  0.4851  0.0049  0.0557  0.0547  0.0660  0.05
Pierdomenico 2008   82  0.2765  0.0081  0.0481  0.0481  0.0382  0.03
Poblocka 1999   28  0.4863  0.0027  0.0822  0.3755  0.0536  0.14
Rabcewiczowa 1932   56  0.4331  0.0030  0.0825  0.3717  0.3813  0.37
Rachmaninoff 1923   50  0.4434  0.0060  0.0567  0.0569  0.0468  0.04
Rangell 2001   67  0.3875  0.0055  0.0565  0.0527  0.3043  0.12
Richter 1976   64  0.4071  0.0070  0.0483  0.0469  0.0471  0.04
Rosen 1989   46  0.4556  0.0038  0.0736  0.2458  0.0546  0.11
Rosenthal 1930   81  0.2769  0.0083  0.0479  0.0474  0.0387  0.03
Rosenthal 1931   84  0.2281  0.0085  0.0482  0.0469  0.0385  0.03
Rosenthal 1931b   86  0.1990  0.0086  0.0287  0.0267  0.0390  0.02
Rosenthal 1931c   85  0.2182  0.0084  0.0385  0.0380  0.0388  0.03
Rosenthal 1931d   87  0.1883  0.0087  0.0386  0.0387  0.0289  0.02
Rossi 2007   80  0.2774  0.0082  0.0564  0.0540  0.1350  0.08
Rubinstein 1939   60  0.4262  0.0065  0.0561  0.0528  0.2842  0.12
Rubinstein 1952   22  0.4946  0.0022  0.0726  0.3421  0.4114  0.37
Rubinstein 1966   4  0.593  0.133  0.252  0.686  0.662  0.67
Schilhawsky 1960   32  0.4743  0.0026  0.0639  0.1954  0.0548  0.10
Shebanova 2002   21  0.5059  0.0028  0.1124  0.3743  0.1028  0.19
Smith 1975   16  0.5215  0.0121  0.0813  0.4731  0.2517  0.34
Sokolov 2002   57  0.4344  0.0052  0.0748  0.0755  0.0555  0.06
Sztompka 1959   43  0.4533  0.0046  0.0559  0.0556  0.0662  0.05
Tomsic 1995   40  0.4627  0.0039  0.0934  0.2523  0.3120  0.28
Uninsky 1932   25  0.4936  0.0029  0.0733  0.2550  0.0740  0.13
Uninsky 1971   24  0.4912  0.0216  0.1014  0.4533  0.2418  0.33
Wasowski 1980   23  0.495  0.056  0.1118  0.4121  0.3215  0.36
Zak 1937   8  0.5642  0.009  0.1211  0.5130  0.3011  0.39
Zak 1951   6  0.5649  0.008  0.127  0.5730  0.2810  0.40
Random 1   89  0.0076  0.0090  0.0190  0.0111  0.3758  0.06
Random 2   88  0.0029  0.0088  0.0188  0.0126  0.2764  0.05
Random 3   90  -0.0488  0.0089  0.0189  0.0117  0.3559  0.06

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).