Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   44  0.5286  0.0062  0.0467  0.0454  0.0579  0.04
Anderszewski 2003   43  0.5233  0.0032  0.1233  0.3117  0.4629  0.38
Ashkenazy 1981   21  0.5748  0.0031  0.1221  0.4626  0.3926  0.42
Bacha 2000   71  0.4389  0.0074  0.0381  0.0343  0.1564  0.07
Badura 1965   59  0.4754  0.0055  0.0476  0.0434  0.3256  0.11
Barbosa 1983   8  0.6019  0.0013  0.088  0.555  0.634  0.59
Biret 1990   32  0.5536  0.0011  0.0915  0.5011  0.5312  0.51
Blet 2003   35  0.5443  0.0045  0.0644  0.1211  0.4739  0.24
Block 1995   69  0.4457  0.0072  0.0747  0.0749  0.0568  0.06
Blumental 1952   56  0.4872  0.0065  0.0650  0.0650  0.0575  0.05
Boshniakovich 1969   30  0.558  0.0120  0.0934  0.2430  0.2837  0.26
Brailowsky 1960   47  0.5042  0.0037  0.0541  0.1423  0.3940  0.23
Bunin 1987   29  0.5565  0.0029  0.0926  0.413  0.5915  0.49
Bunin 1987b   31  0.5544  0.0028  0.1024  0.423  0.6013  0.50
Chiu 1999   27  0.5646  0.0049  0.0560  0.0526  0.3649  0.13
Cohen 1997   63  0.4647  0.0071  0.0554  0.0510  0.4945  0.16
Cortot 1951   64  0.4526  0.0057  0.0563  0.0528  0.3051  0.12
Csalog 1996   70  0.4431  0.0053  0.0557  0.0524  0.4147  0.14
Czerny 1949   54  0.4985  0.0063  0.0553  0.0542  0.1363  0.08
Czerny 1990   34  0.5481  0.0048  0.0468  0.0455  0.0676  0.05
Duchoud 2007   53  0.4982  0.0044  0.0642  0.149  0.4936  0.26
Ezaki 2006   3  0.6158  0.0018  0.0819  0.4728  0.3824  0.42
Falvay 1989   13  0.5912  0.0123  0.0922  0.468  0.598  0.52
Farrell 1958   19  0.576  0.0133  0.1032  0.335  0.5425  0.42
Ferenczy 1958   51  0.5014  0.0160  0.0465  0.0411  0.4450  0.13
Fliere 1977   4  0.6127  0.0010  0.096  0.5729  0.4016  0.48
Fou 1978   11  0.6034  0.0022  0.0717  0.4820  0.4322  0.45
Francois 1956   49  0.5051  0.0040  0.0636  0.2122  0.4633  0.31
Friedman 1923   80  0.3870  0.0083  0.0286  0.0248  0.0785  0.04
Friedman 1923b   79  0.3862  0.0082  0.0382  0.0361  0.0581  0.04
Friedman 1930   67  0.4556  0.0067  0.0472  0.0438  0.1862  0.08
Garcia 2007   76  0.4068  0.0076  0.0380  0.0345  0.0973  0.05
Garcia 2007b   78  0.3866  0.0075  0.0379  0.0349  0.0584  0.04
Gierzod 1998   15  0.587  0.0115  0.0712  0.5235  0.3623  0.43
Gornostaeva 1994   58  0.4864  0.0054  0.0474  0.0465  0.0482  0.04
Groot 1988   41  0.5245  0.0030  0.1031  0.3331  0.3132  0.32
Harasiewicz 1955   6  0.6022  0.0014  0.0710  0.5433  0.2631  0.37
Hatto 1993   42  0.5283  0.0042  0.0639  0.1435  0.1548  0.14
Hatto 1997   24  0.5630  0.0027  0.0823  0.4523  0.3030  0.37
Horowitz 1949   74  0.4174  0.0077  0.0473  0.0458  0.0578  0.04
Indjic 1988   39  0.5360  0.0038  0.0635  0.2126  0.2441  0.22
Kapell 1951   23  0.5725  0.009  0.114  0.599  0.487  0.53
Kissin 1993   18  0.5841  0.0034  0.0830  0.3532  0.2634  0.30
Kushner 1989   17  0.5818  0.0112  0.089  0.5515  0.4811  0.51
Luisada 1991   40  0.5352  0.0043  0.0640  0.1451  0.0658  0.09
Lushtak 2004   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Malcuzynski 1961   48  0.5016  0.0158  0.0562  0.0551  0.0572  0.05
Magaloff 1978   33  0.5410  0.014  0.1028  0.3913  0.4427  0.41
Magin 1975   65  0.4553  0.0069  0.0558  0.0565  0.0477  0.04
Michalowski 1933   87  0.3190  0.0085  0.0378  0.0374  0.0487  0.03
Milkina 1970   62  0.4649  0.0068  0.0559  0.0557  0.0671  0.05
Mohovich 1999   16  0.5815  0.0125  0.1314  0.5117  0.549  0.52
Moravec 1969   77  0.4038  0.0078  0.0285  0.0281  0.0389  0.02
Morozova 2008   20  0.5713  0.0135  0.0937  0.1832  0.2242  0.20
Neighaus 1950   7  0.6037  0.0016  0.0711  0.5320  0.4119  0.47
Niedzielski 1931   84  0.3473  0.0084  0.0383  0.0385  0.0386  0.03
Ohlsson 1999   12  0.5921  0.008  0.085  0.5910  0.525  0.55
Osinska 1989   28  0.5617  0.0117  0.0820  0.4723  0.4520  0.46
Pachmann 1927   60  0.4767  0.0039  0.0645  0.1213  0.5038  0.24
Paderewski 1930   68  0.4540  0.0066  0.0464  0.0425  0.2855  0.11
Perlemuter 1992   38  0.5369  0.0046  0.0749  0.0718  0.4144  0.17
Pierdomenico 2008   73  0.4278  0.0070  0.0552  0.0529  0.2552  0.11
Poblocka 1999   14  0.5924  0.005  0.107  0.5512  0.4810  0.51
Rabcewiczowa 1932   57  0.4820  0.0041  0.0538  0.1715  0.4235  0.27
Rachmaninoff 1923   61  0.4755  0.0064  0.0651  0.0651  0.0570  0.05
Rangell 2001   72  0.4311  0.0159  0.0466  0.0430  0.2757  0.10
Richter 1976   50  0.5023  0.0056  0.0475  0.0433  0.2954  0.11
Rosen 1989   46  0.5175  0.0052  0.0561  0.0553  0.0674  0.05
Rosenthal 1930   82  0.3676  0.0081  0.0384  0.0349  0.0680  0.04
Rosenthal 1931   85  0.3259  0.0086  0.0377  0.0336  0.2760  0.09
Rosenthal 1931b   86  0.3187  0.0087  0.0471  0.0438  0.2161  0.09
Rosenthal 1931c   81  0.3679  0.0080  0.0288  0.0237  0.2365  0.07
Rosenthal 1931d   88  0.2984  0.0088  0.0470  0.0455  0.0583  0.04
Rossi 2007   83  0.3550  0.0079  0.0287  0.0244  0.1269  0.05
Rubinstein 1939   75  0.4071  0.0073  0.0469  0.0428  0.2953  0.11
Rubinstein 1952   37  0.532  0.073  0.1325  0.4117  0.5221  0.46
Rubinstein 1966   9  0.6035  0.0021  0.0716  0.4913  0.616  0.55
Schilhawsky 1960   26  0.563  0.026  0.0829  0.3725  0.4528  0.41
Shebanova 2002   10  0.605  0.0219  0.1213  0.5124  0.4617  0.48
Smith 1975   22  0.5728  0.0026  0.0918  0.4810  0.5014  0.49
Sokolov 2002   45  0.5177  0.0047  0.0748  0.0731  0.2946  0.14
Sztompka 1959   36  0.5491  0.0050  0.0746  0.0764  0.0566  0.06
Tomsic 1995   25  0.564  0.0224  0.1027  0.4010  0.5618  0.47
Uninsky 1932   66  0.4561  0.0061  0.0556  0.0549  0.0767  0.06
Uninsky 1971   52  0.5032  0.0036  0.0743  0.1331  0.2743  0.19
Wasowski 1980   55  0.4839  0.0051  0.0555  0.0535  0.1859  0.09
Zak 1937   5  0.609  0.017  0.093  0.619  0.603  0.60
Zak 1951   2  0.6129  0.002  0.162  0.675  0.602  0.63
Average   1  0.741  0.691  0.681  0.8719  0.471  0.64
Random 1   91  -0.1163  0.0091  0.0191  0.0188  0.0191  0.01
Random 2   90  -0.0480  0.0090  0.0289  0.0255  0.0588  0.03
Random 3   89  -0.0388  0.0089  0.0290  0.0258  0.0390  0.02

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).