Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   24  0.5712  0.0128  0.0833  0.2946  0.0745  0.14
Anderszewski 2003   57  0.4737  0.0053  0.0846  0.0850  0.0557  0.06
Ashkenazy 1981   45  0.4942  0.0052  0.0656  0.0650  0.0564  0.05
Bacha 2000   37  0.5219  0.0148  0.0567  0.0531  0.3446  0.13
Badura 1965   73  0.4030  0.0074  0.0471  0.0470  0.0473  0.04
Barbosa 1983   40  0.5148  0.0026  0.0931  0.3222  0.3727  0.34
Biret 1990   28  0.5522  0.0025  0.1024  0.4030  0.2528  0.32
Blet 2003   58  0.4691  0.0070  0.0475  0.0474  0.0471  0.04
Block 1995   39  0.5163  0.0044  0.0643  0.1429  0.2635  0.19
Blumental 1952   56  0.4711  0.0236  0.0837  0.1844  0.0847  0.12
Boshniakovich 1969   59  0.4688  0.0065  0.0569  0.0574  0.0474  0.04
Brailowsky 1960   16  0.6016  0.0123  0.1020  0.464  0.707  0.57
Bunin 1987   70  0.4154  0.0077  0.0382  0.0364  0.0487  0.03
Bunin 1987b   74  0.4069  0.0078  0.0473  0.0463  0.0468  0.04
Chiu 1999   26  0.5570  0.0032  0.1225  0.4019  0.4322  0.41
Cohen 1997   52  0.4734  0.0040  0.0641  0.154  0.5429  0.28
Cortot 1951   82  0.3559  0.0083  0.0479  0.0476  0.0475  0.04
Csalog 1996   22  0.596  0.0312  0.1117  0.523  0.685  0.59
Czerny 1949   53  0.4736  0.0063  0.0650  0.0667  0.0463  0.05
Czerny 1990   10  0.629  0.0214  0.1413  0.5530  0.2824  0.39
Duchoud 2007   75  0.4071  0.0069  0.0476  0.0479  0.0472  0.04
Ezaki 2006   11  0.6214  0.0119  0.099  0.5830  0.3418  0.44
Falvay 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Farrell 1958   33  0.5428  0.0030  0.0928  0.3513  0.4523  0.40
Ferenczy 1958   41  0.5129  0.0047  0.0563  0.0521  0.3744  0.14
Fliere 1977   30  0.5579  0.0038  0.0639  0.1660  0.0450  0.08
Fou 1978   3  0.6725  0.005  0.223  0.729  0.543  0.62
Francois 1956   27  0.5517  0.0124  0.0922  0.4311  0.5614  0.49
Friedman 1923   87  0.1467  0.0088  0.0384  0.0387  0.0389  0.03
Friedman 1923b   88  0.1461  0.0087  0.0386  0.0387  0.0388  0.03
Friedman 1930   85  0.2676  0.0085  0.0380  0.0386  0.0383  0.03
Garcia 2007   84  0.3175  0.0080  0.0472  0.0483  0.0385  0.03
Garcia 2007b   83  0.3272  0.0079  0.0477  0.0463  0.0476  0.04
Gierzod 1998   34  0.5443  0.0041  0.0836  0.2155  0.0549  0.10
Gornostaeva 1994   23  0.588  0.0217  0.0921  0.4526  0.3921  0.42
Groot 1988   8  0.637  0.026  0.207  0.606  0.548  0.57
Harasiewicz 1955   35  0.5341  0.0033  0.1032  0.3063  0.0448  0.11
Hatto 1993   78  0.3785  0.0068  0.0559  0.0570  0.0566  0.05
Hatto 1997   69  0.4139  0.0062  0.0653  0.0674  0.0462  0.05
Horowitz 1949   66  0.4282  0.0073  0.0478  0.0485  0.0378  0.03
Indjic 1988   77  0.3987  0.0067  0.0654  0.0679  0.0461  0.05
Kapell 1951   36  0.5326  0.0042  0.0742  0.1476  0.0453  0.07
Kissin 1993   7  0.634  0.057  0.1723  0.4230  0.2826  0.34
Kushner 1989   6  0.6410  0.029  0.126  0.6221  0.4112  0.50
Luisada 1991   29  0.5552  0.0018  0.0927  0.3734  0.3125  0.34
Lushtak 2004   21  0.5918  0.0110  0.138  0.5922  0.4610  0.52
Malcuzynski 1961   43  0.5180  0.0045  0.0545  0.1066  0.0456  0.06
Magaloff 1978   19  0.5924  0.008  0.1414  0.538  0.4811  0.50
Magin 1975   54  0.4744  0.0056  0.0652  0.0671  0.0459  0.05
Michalowski 1933   86  0.2278  0.0086  0.0565  0.0576  0.0470  0.04
Milkina 1970   5  0.652  0.163  0.215  0.6711  0.534  0.60
Mohovich 1999   9  0.6240  0.0011  0.1211  0.5616  0.549  0.55
Moravec 1969   15  0.6113  0.0116  0.1015  0.537  0.616  0.57
Morozova 2008   42  0.5160  0.0043  0.0644  0.1366  0.0454  0.07
Neighaus 1950   46  0.4986  0.0061  0.0747  0.0779  0.0465  0.05
Niedzielski 1931   79  0.3774  0.0071  0.0387  0.0386  0.0377  0.03
Ohlsson 1999   50  0.4857  0.0051  0.0564  0.0567  0.0469  0.04
Osinska 1989   12  0.6121  0.0113  0.1012  0.5630  0.3816  0.46
Pachmann 1927   48  0.4990  0.0060  0.0651  0.0616  0.4739  0.17
Paderewski 1930   72  0.4089  0.0072  0.0388  0.0377  0.0380  0.03
Perlemuter 1992   31  0.5465  0.0034  0.0734  0.2238  0.1933  0.20
Pierdomenico 2008   38  0.5253  0.0029  0.0829  0.354  0.5620  0.44
Poblocka 1999   32  0.5447  0.0037  0.0540  0.1579  0.0451  0.08
Rabcewiczowa 1932   44  0.4927  0.0039  0.0535  0.2236  0.1834  0.20
Rachmaninoff 1923   63  0.4458  0.0055  0.0655  0.0664  0.0458  0.05
Rangell 2001   51  0.4866  0.0035  0.0838  0.1735  0.2037  0.18
Richter 1976   67  0.4231  0.0081  0.0385  0.0367  0.0479  0.03
Rosen 1989   25  0.5751  0.0031  0.0826  0.3936  0.1830  0.26
Rosenthal 1930   68  0.4149  0.0066  0.0474  0.0442  0.1455  0.07
Rosenthal 1931   64  0.4364  0.0058  0.0568  0.0517  0.5640  0.17
Rosenthal 1931b   65  0.4262  0.0059  0.0748  0.0716  0.5136  0.19
Rosenthal 1931c   55  0.4755  0.0050  0.0658  0.0617  0.5041  0.17
Rosenthal 1931d   61  0.4556  0.0054  0.0657  0.0613  0.5738  0.18
Rossi 2007   76  0.3933  0.0064  0.0560  0.0519  0.3843  0.14
Rubinstein 1939   60  0.4638  0.0057  0.0749  0.0720  0.3642  0.16
Rubinstein 1952   4  0.663  0.082  0.174  0.714  0.702  0.70
Rubinstein 1966   20  0.5932  0.0022  0.0919  0.4920  0.4715  0.48
Schilhawsky 1960   81  0.3546  0.0084  0.0470  0.0489  0.0282  0.03
Shebanova 2002   18  0.5935  0.0027  0.0830  0.3436  0.1931  0.25
Smith 1975   17  0.6023  0.0020  0.0818  0.5222  0.3719  0.44
Sokolov 2002   47  0.4968  0.0046  0.0562  0.0545  0.1252  0.08
Sztompka 1959   62  0.4573  0.0075  0.0566  0.0570  0.0560  0.05
Tomsic 1995   2  0.675  0.054  0.322  0.731  0.761  0.74
Uninsky 1932   80  0.3777  0.0082  0.0383  0.0385  0.0384  0.03
Uninsky 1971   71  0.4045  0.0076  0.0381  0.0383  0.0381  0.03
Wasowski 1980   49  0.4950  0.0049  0.0561  0.0575  0.0467  0.04
Zak 1937   14  0.6120  0.0121  0.0816  0.5324  0.3917  0.45
Zak 1951   13  0.6115  0.0115  0.1210  0.5822  0.4213  0.49
Average   1  0.721  0.411  0.401  0.8458  0.0632  0.22
Random 1   91  -0.0883  0.0091  0.0191  0.0158  0.0490  0.02
Random 2   90  -0.0784  0.0089  0.0189  0.0175  0.0291  0.01
Random 3   89  -0.0781  0.0090  0.0190  0.0138  0.1086  0.03

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).