Biret 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   19  0.5524  0.0032  0.0730  0.2458  0.0542  0.11
Anderszewski 2003   62  0.4267  0.0047  0.0549  0.0545  0.0462  0.04
Ashkenazy 1981   28  0.5244  0.0028  0.0828  0.3649  0.0537  0.13
Bacha 2000   34  0.5140  0.0048  0.0745  0.0719  0.4536  0.18
Badura 1965   80  0.2868  0.0073  0.0471  0.0470  0.0467  0.04
Barbosa 1983   48  0.4651  0.0023  0.1024  0.3923  0.4220  0.40
Biret 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Blet 2003   36  0.5045  0.0038  0.0742  0.1553  0.0545  0.09
Block 1995   69  0.3673  0.0080  0.0381  0.0356  0.0481  0.03
Blumental 1952   76  0.3274  0.0066  0.0473  0.0458  0.0468  0.04
Boshniakovich 1969   53  0.4441  0.0071  0.0466  0.0482  0.0382  0.03
Brailowsky 1960   43  0.4760  0.0065  0.0647  0.0670  0.0451  0.05
Bunin 1987   32  0.5177  0.0040  0.0833  0.2354  0.0640  0.12
Bunin 1987b   30  0.5259  0.0039  0.0632  0.2453  0.0639  0.12
Chiu 1999   38  0.492  0.067  0.127  0.5616  0.486  0.52
Cohen 1997   59  0.4214  0.0142  0.0640  0.1510  0.4828  0.27
Cortot 1951   40  0.4849  0.0043  0.0741  0.1532  0.2535  0.19
Csalog 1996   17  0.5512  0.0122  0.1126  0.3810  0.5314  0.45
Czerny 1949   11  0.5929  0.0021  0.1111  0.5116  0.537  0.52
Czerny 1990   33  0.5150  0.0056  0.0474  0.0473  0.0470  0.04
Duchoud 2007   3  0.6617  0.013  0.262  0.691  0.652  0.67
Ezaki 2006   15  0.577  0.039  0.1019  0.4635  0.1529  0.26
Falvay 1989   29  0.5220  0.0114  0.0827  0.3628  0.2127  0.27
Farrell 1958   4  0.6416  0.018  0.1113  0.502  0.684  0.58
Ferenczy 1958   50  0.4666  0.0044  0.0744  0.1326  0.2934  0.19
Fliere 1977   26  0.5275  0.0051  0.0460  0.0472  0.0455  0.04
Fou 1978   57  0.4278  0.0054  0.0464  0.0466  0.0457  0.04
Francois 1956   16  0.5611  0.0117  0.125  0.5718  0.3812  0.47
Friedman 1923   87  0.1679  0.0086  0.0380  0.0358  0.0673  0.04
Friedman 1923b   86  0.1747  0.0084  0.0377  0.0350  0.0669  0.04
Friedman 1930   81  0.2871  0.0070  0.0457  0.0466  0.0464  0.04
Garcia 2007   82  0.2743  0.0078  0.0287  0.0253  0.0580  0.03
Garcia 2007b   78  0.3215  0.0172  0.0469  0.0426  0.2643  0.10
Gierzod 1998   61  0.4283  0.0059  0.0454  0.0472  0.0379  0.03
Gornostaeva 1994   5  0.634  0.0520  0.1122  0.4220  0.3522  0.38
Groot 1988   44  0.4780  0.0068  0.0552  0.0578  0.0372  0.04
Harasiewicz 1955   70  0.3636  0.0036  0.0631  0.2473  0.0347  0.08
Hatto 1993   67  0.3942  0.0033  0.0639  0.1624  0.2932  0.22
Hatto 1997   21  0.556  0.044  0.164  0.639  0.495  0.56
Horowitz 1949   55  0.4346  0.0060  0.0456  0.0459  0.0459  0.04
Indjic 1988   54  0.4352  0.0026  0.0835  0.2217  0.3626  0.28
Kapell 1951   7  0.6153  0.0018  0.099  0.5323  0.4311  0.48
Kissin 1993   63  0.4284  0.0058  0.0459  0.0454  0.0561  0.04
Kushner 1989   23  0.5355  0.0053  0.0462  0.0452  0.0458  0.04
Luisada 1991   13  0.588  0.0312  0.1010  0.5220  0.3416  0.42
Lushtak 2004   37  0.5019  0.0110  0.1112  0.5028  0.3318  0.41
Malcuzynski 1961   27  0.5285  0.0052  0.0461  0.0478  0.0377  0.03
Magaloff 1978   24  0.5269  0.0035  0.0643  0.1379  0.0350  0.06
Magin 1975   73  0.3556  0.0062  0.0475  0.0471  0.0376  0.03
Michalowski 1933   68  0.3762  0.0041  0.0636  0.1835  0.2631  0.22
Milkina 1970   18  0.555  0.0413  0.1014  0.4711  0.4413  0.45
Mohovich 1999   51  0.4586  0.0067  0.0465  0.0479  0.0383  0.03
Moravec 1969   46  0.4781  0.0034  0.0538  0.1650  0.0544  0.09
Morozova 2008   47  0.4687  0.0037  0.0637  0.1872  0.0348  0.07
Neighaus 1950   6  0.6222  0.006  0.146  0.5627  0.3615  0.45
Niedzielski 1931   72  0.3532  0.0081  0.0378  0.0368  0.0375  0.03
Ohlsson 1999   2  0.673  0.052  0.183  0.663  0.533  0.59
Osinska 1989   1  0.691  0.501  0.501  0.783  0.771  0.77
Pachmann 1927   71  0.3638  0.0064  0.0550  0.0558  0.0553  0.05
Paderewski 1930   65  0.4037  0.0069  0.0458  0.0470  0.0378  0.03
Perlemuter 1992   79  0.3088  0.0076  0.0286  0.0282  0.0386  0.02
Pierdomenico 2008   45  0.4731  0.0046  0.0648  0.0629  0.2241  0.11
Poblocka 1999   8  0.6163  0.0019  0.1018  0.4619  0.3419  0.40
Rabcewiczowa 1932   12  0.5810  0.0211  0.1015  0.4713  0.568  0.51
Rachmaninoff 1923   58  0.4225  0.0049  0.0455  0.0448  0.0556  0.04
Rangell 2001   22  0.5430  0.0031  0.0734  0.2339  0.1833  0.20
Richter 1976   77  0.3254  0.0077  0.0379  0.0387  0.0287  0.02
Rosen 1989   14  0.5733  0.0030  0.1023  0.4127  0.3123  0.36
Rosenthal 1930   66  0.4057  0.0075  0.0476  0.0464  0.0466  0.04
Rosenthal 1931   85  0.2189  0.0087  0.0285  0.0286  0.0288  0.02
Rosenthal 1931b   84  0.2464  0.0085  0.0383  0.0364  0.0484  0.03
Rosenthal 1931c   74  0.3365  0.0083  0.0382  0.0372  0.0385  0.03
Rosenthal 1931d   75  0.3376  0.0082  0.0472  0.0458  0.0471  0.04
Rossi 2007   83  0.2539  0.0079  0.0384  0.0359  0.0374  0.03
Rubinstein 1939   64  0.4034  0.0063  0.0470  0.0421  0.3838  0.12
Rubinstein 1952   52  0.4523  0.0055  0.0463  0.0443  0.1249  0.07
Rubinstein 1966   42  0.4872  0.0057  0.0468  0.0464  0.0563  0.04
Schilhawsky 1960   49  0.4658  0.0029  0.0929  0.2631  0.2430  0.25
Shebanova 2002   39  0.4926  0.0050  0.0551  0.0549  0.0654  0.05
Smith 1975   10  0.599  0.025  0.138  0.5413  0.4310  0.48
Sokolov 2002   9  0.6048  0.0027  0.0820  0.4536  0.2624  0.34
Sztompka 1959   60  0.4282  0.0074  0.0553  0.0575  0.0460  0.04
Tomsic 1995   35  0.5061  0.0045  0.0646  0.0670  0.0452  0.05
Uninsky 1932   56  0.4321  0.0161  0.0467  0.0448  0.0565  0.04
Uninsky 1971   20  0.5518  0.0124  0.1025  0.3834  0.2825  0.33
Wasowski 1980   25  0.5228  0.0025  0.0921  0.444  0.529  0.48
Zak 1937   31  0.5227  0.0016  0.1117  0.4618  0.3917  0.42
Zak 1951   41  0.4813  0.0115  0.1016  0.4625  0.3321  0.39
Random 1   89  0.0035  0.0090  0.0190  0.0153  0.0489  0.02
Random 2   90  0.0070  0.0088  0.0288  0.0212  0.3646  0.08
Random 3   88  0.0290  0.0089  0.0189  0.0149  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).