Afanassiev 2001

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Anderszewski 2003   46  0.5988  0.0058  0.0561  0.0560  0.0482  0.04
Ashkenazy 1981   23  0.6635  0.0021  0.1223  0.448  0.5217  0.48
Bacha 2000   65  0.5132  0.0062  0.0552  0.0526  0.2659  0.11
Badura 1965   29  0.649  0.0234  0.0736  0.257  0.5833  0.38
Barbosa 1983   82  0.4419  0.0170  0.0470  0.0463  0.0580  0.04
Biret 1990   31  0.6413  0.0230  0.0926  0.4222  0.3831  0.40
Blet 2003   51  0.5759  0.0053  0.0555  0.0513  0.4151  0.14
Block 1995   71  0.4966  0.0063  0.0556  0.0570  0.0485  0.04
Blumental 1952   32  0.646  0.0412  0.0924  0.4210  0.4624  0.44
Boshniakovich 1969   16  0.677  0.0322  0.1527  0.4023  0.4725  0.43
Brailowsky 1960   67  0.5176  0.0077  0.0379  0.0345  0.1075  0.05
Bunin 1987   84  0.4285  0.0084  0.0288  0.0234  0.2373  0.07
Bunin 1987b   85  0.4186  0.0085  0.0375  0.0336  0.2565  0.09
Chiu 1999   48  0.5843  0.0057  0.0557  0.0521  0.2956  0.12
Cohen 1997   86  0.3969  0.0087  0.0468  0.0454  0.0586  0.04
Cortot 1951   73  0.4841  0.0076  0.0384  0.0335  0.2569  0.09
Csalog 1996   78  0.4547  0.0071  0.0465  0.0464  0.0481  0.04
Czerny 1949   25  0.6654  0.0018  0.1016  0.4823  0.4916  0.48
Czerny 1990   21  0.6663  0.0025  0.0725  0.4226  0.3930  0.40
Duchoud 2007   70  0.5030  0.0060  0.0551  0.057  0.4947  0.16
Ezaki 2006   24  0.6636  0.0033  0.0637  0.2123  0.3938  0.29
Falvay 1989   69  0.5039  0.0078  0.0381  0.0349  0.0876  0.05
Farrell 1958   54  0.5617  0.0150  0.0564  0.0540  0.2262  0.10
Ferenczy 1958   62  0.5348  0.0061  0.0467  0.0427  0.3557  0.12
Fliere 1977   3  0.7421  0.016  0.167  0.5815  0.4812  0.53
Fou 1978   19  0.6724  0.0127  0.1029  0.3816  0.4727  0.42
Francois 1956   55  0.5564  0.0056  0.0558  0.0521  0.4749  0.15
Friedman 1923   34  0.6344  0.0037  0.0635  0.269  0.5434  0.37
Friedman 1923b   30  0.6460  0.0031  0.0731  0.358  0.5822  0.45
Friedman 1930   38  0.6265  0.0040  0.0739  0.1913  0.5237  0.31
Garcia 2007   57  0.5587  0.0059  0.0746  0.0726  0.4146  0.17
Garcia 2007b   49  0.5877  0.0046  0.0747  0.0725  0.3848  0.16
Gierzod 1998   2  0.741  0.411  0.411  0.698  0.651  0.67
Gornostaeva 1994   56  0.5579  0.0055  0.0563  0.0536  0.1668  0.09
Groot 1988   53  0.5622  0.0148  0.0553  0.0516  0.3853  0.14
Harasiewicz 1955   9  0.6923  0.0120  0.1017  0.4826  0.4818  0.48
Hatto 1993   18  0.6734  0.0015  0.1615  0.4817  0.3926  0.43
Hatto 1997   14  0.6873  0.0017  0.1119  0.4618  0.3929  0.42
Horowitz 1949   43  0.5933  0.0045  0.0748  0.072  0.6043  0.20
Indjic 1988   10  0.6861  0.0014  0.1214  0.4915  0.4319  0.46
Kapell 1951   58  0.5483  0.0054  0.0650  0.0652  0.0674  0.06
Kissin 1993   1  0.752  0.072  0.262  0.635  0.692  0.66
Kushner 1989   35  0.6270  0.0047  0.0845  0.0854  0.0672  0.07
Luisada 1991   5  0.7214  0.0111  0.209  0.573  0.693  0.63
Lushtak 2004   63  0.5389  0.0068  0.0466  0.0470  0.0484  0.04
Malcuzynski 1961   60  0.5410  0.0252  0.0554  0.0530  0.1866  0.09
Magaloff 1978   52  0.5725  0.0049  0.0649  0.0620  0.3450  0.14
Magin 1975   7  0.718  0.023  0.114  0.624  0.616  0.61
Michalowski 1933   41  0.6046  0.0036  0.0734  0.272  0.6628  0.42
Milkina 1970   17  0.6720  0.0119  0.1013  0.5023  0.4715  0.48
Mohovich 1999   42  0.5927  0.0043  0.0643  0.1331  0.3741  0.22
Moravec 1969   76  0.4751  0.0079  0.0376  0.0345  0.0677  0.04
Morozova 2008   33  0.6442  0.0028  0.1030  0.3519  0.4232  0.38
Neighaus 1950   26  0.6655  0.0026  0.0820  0.4513  0.5413  0.49
Niedzielski 1931   40  0.6071  0.0035  0.0732  0.278  0.4935  0.36
Ohlsson 1999   15  0.6712  0.029  0.168  0.584  0.628  0.60
Osinska 1989   36  0.6229  0.0032  0.0733  0.2741  0.1444  0.19
Pachmann 1927   74  0.4875  0.0086  0.0378  0.0334  0.2471  0.08
Paderewski 1930   64  0.5167  0.0073  0.0474  0.0421  0.4055  0.13
Perlemuter 1992   37  0.6249  0.0041  0.0740  0.157  0.5739  0.29
Pierdomenico 2008   75  0.4857  0.0065  0.0473  0.0423  0.4054  0.13
Poblocka 1999   20  0.6631  0.0016  0.0918  0.4715  0.5014  0.48
Rabcewiczowa 1932   50  0.5778  0.0042  0.0741  0.1426  0.2842  0.20
Rachmaninoff 1923   13  0.683  0.067  0.156  0.591  0.654  0.62
Rangell 2001   87  0.3880  0.0083  0.0285  0.0268  0.0488  0.03
Richter 1976   39  0.6250  0.0044  0.0644  0.1225  0.4840  0.24
Rosen 1989   11  0.6818  0.0113  0.1012  0.536  0.6110  0.57
Rosenthal 1930   68  0.5068  0.0066  0.0469  0.0415  0.5252  0.14
Rosenthal 1931   81  0.4458  0.0081  0.0471  0.0428  0.2763  0.10
Rosenthal 1931b   79  0.4481  0.0080  0.0383  0.0322  0.3664  0.10
Rosenthal 1931c   77  0.4684  0.0072  0.0377  0.0327  0.3761  0.11
Rosenthal 1931d   80  0.4456  0.0075  0.0382  0.0320  0.4758  0.12
Rossi 2007   66  0.5145  0.0074  0.0380  0.0336  0.2470  0.08
Rubinstein 1939   59  0.5437  0.0067  0.0559  0.0561  0.0478  0.04
Rubinstein 1952   72  0.4916  0.0164  0.0472  0.0460  0.0587  0.04
Rubinstein 1966   61  0.5462  0.0069  0.0562  0.0574  0.0483  0.04
Schilhawsky 1960   4  0.7215  0.014  0.155  0.614  0.617  0.61
Shebanova 2002   6  0.715  0.045  0.173  0.636  0.615  0.62
Smith 1975   47  0.5826  0.0051  0.0560  0.0533  0.2360  0.11
Sokolov 2002   44  0.5928  0.0039  0.0638  0.208  0.5136  0.32
Sztompka 1959   8  0.7011  0.0210  0.1810  0.5714  0.579  0.57
Tomsic 1995   83  0.4353  0.0082  0.0286  0.0249  0.0879  0.04
Uninsky 1932   28  0.6572  0.0029  0.1028  0.3912  0.5221  0.45
Uninsky 1971   12  0.684  0.068  0.1611  0.5415  0.5811  0.56
Wasowski 1980   45  0.5952  0.0038  0.0642  0.1334  0.2645  0.18
Zak 1937   22  0.6640  0.0024  0.0822  0.4520  0.4423  0.44
Zak 1951   27  0.6538  0.0023  0.0621  0.4516  0.4620  0.45
Random 1   90  -0.1374  0.0090  0.0190  0.0170  0.0389  0.02
Random 2   88  -0.0182  0.0088  0.0287  0.0211  0.4367  0.09
Random 3   89  -0.1090  0.0089  0.0189  0.0170  0.0490  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).