Kapell 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   43  0.5459  0.0056  0.0652  0.0650  0.0679  0.06
Anderszewski 2003   24  0.6120  0.0112  0.116  0.4911  0.558  0.52
Ashkenazy 1981   69  0.4972  0.0063  0.0468  0.0446  0.0780  0.05
Bacha 2000   77  0.4677  0.0065  0.0556  0.0514  0.3749  0.14
Badura 1965   80  0.4429  0.0058  0.0473  0.0437  0.2669  0.10
Barbosa 1983   66  0.5014  0.0121  0.1122  0.358  0.5817  0.45
Biret 1990   34  0.5845  0.0032  0.0435  0.2226  0.2937  0.25
Blet 2003   60  0.5134  0.0068  0.0474  0.0427  0.2861  0.11
Block 1995   54  0.529  0.0320  0.0928  0.268  0.5426  0.37
Blumental 1952   30  0.5921  0.0127  0.0724  0.308  0.4627  0.37
Boshniakovich 1969   28  0.5954  0.0038  0.0536  0.2131  0.3335  0.26
Brailowsky 1960   70  0.4856  0.0078  0.0478  0.0441  0.2174  0.09
Bunin 1987   62  0.5173  0.0069  0.0554  0.0523  0.4053  0.14
Bunin 1987b   59  0.5278  0.0066  0.0466  0.0415  0.4650  0.14
Chiu 1999   73  0.4771  0.0049  0.0748  0.0714  0.3646  0.16
Cohen 1997   87  0.3231  0.0087  0.0471  0.0447  0.0681  0.05
Cortot 1951   56  0.5282  0.0045  0.0649  0.066  0.6145  0.19
Csalog 1996   6  0.654  0.067  0.1012  0.432  0.715  0.55
Czerny 1949   19  0.6332  0.009  0.099  0.4719  0.5313  0.50
Czerny 1990   4  0.665  0.066  0.107  0.4911  0.606  0.54
Duchoud 2007   79  0.4465  0.0072  0.0379  0.0319  0.3268  0.10
Ezaki 2006   17  0.637  0.038  0.1410  0.477  0.644  0.55
Falvay 1989   46  0.5446  0.0062  0.0650  0.0635  0.2755  0.13
Farrell 1958   65  0.5026  0.0044  0.0643  0.1226  0.4139  0.22
Ferenczy 1958   41  0.5568  0.0053  0.0464  0.045  0.5748  0.15
Fliere 1977   2  0.6810  0.033  0.163  0.6118  0.467  0.53
Fou 1978   20  0.6217  0.0116  0.1114  0.439  0.5414  0.48
Francois 1956   71  0.4883  0.0076  0.0477  0.0446  0.0683  0.05
Friedman 1923   86  0.4181  0.0081  0.0385  0.0358  0.0588  0.04
Friedman 1923b   85  0.4179  0.0079  0.0475  0.0452  0.0682  0.05
Friedman 1930   84  0.4364  0.0082  0.0382  0.0349  0.0686  0.04
Garcia 2007   36  0.5748  0.0034  0.0430  0.243  0.6025  0.38
Garcia 2007b   16  0.6318  0.0110  0.1111  0.452  0.619  0.52
Gierzod 1998   9  0.6537  0.0024  0.1121  0.3633  0.3628  0.36
Gornostaeva 1994   32  0.5819  0.0143  0.0641  0.1515  0.5134  0.28
Groot 1988   61  0.5125  0.0150  0.0747  0.0735  0.1572  0.10
Harasiewicz 1955   12  0.642  0.132  0.212  0.6414  0.592  0.61
Hatto 1993   57  0.5260  0.0041  0.1038  0.2034  0.2243  0.21
Hatto 1997   48  0.5361  0.0030  0.0534  0.2332  0.2042  0.21
Horowitz 1949   83  0.4357  0.0086  0.0383  0.0354  0.0685  0.04
Indjic 1988   53  0.5369  0.0040  0.0637  0.2035  0.2241  0.21
Kapell 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kissin 1993   23  0.6140  0.0033  0.0533  0.2432  0.3733  0.30
Kushner 1989   3  0.6713  0.024  0.104  0.5719  0.553  0.56
Luisada 1991   51  0.5370  0.0060  0.0467  0.0462  0.0584  0.04
Lushtak 2004   37  0.5743  0.0028  0.0927  0.2717  0.4929  0.36
Malcuzynski 1961   27  0.593  0.0813  0.0923  0.334  0.6216  0.45
Magaloff 1978   67  0.5022  0.0177  0.0381  0.0373  0.0489  0.03
Magin 1975   22  0.6184  0.0036  0.0539  0.2039  0.2044  0.20
Michalowski 1933   78  0.4585  0.0067  0.0465  0.0430  0.2766  0.10
Milkina 1970   10  0.6415  0.0123  0.1019  0.3820  0.4919  0.43
Mohovich 1999   13  0.6324  0.0122  0.0926  0.3017  0.5424  0.40
Moravec 1969   38  0.5742  0.0029  0.0744  0.1115  0.5438  0.24
Morozova 2008   35  0.5730  0.0031  0.0431  0.2415  0.4432  0.32
Neighaus 1950   64  0.5174  0.0064  0.0462  0.0466  0.0487  0.04
Niedzielski 1931   63  0.5163  0.0057  0.0470  0.0429  0.2763  0.10
Ohlsson 1999   55  0.5238  0.0046  0.0746  0.0742  0.1365  0.10
Osinska 1989   5  0.6611  0.0211  0.165  0.4921  0.5111  0.50
Pachmann 1927   76  0.4655  0.0080  0.0286  0.0210  0.4964  0.10
Paderewski 1930   74  0.4689  0.0074  0.0469  0.0422  0.3857  0.12
Perlemuter 1992   47  0.5347  0.0059  0.0380  0.0324  0.3462  0.10
Pierdomenico 2008   81  0.4427  0.0073  0.0558  0.0537  0.2560  0.11
Poblocka 1999   1  0.711  0.281  0.281  0.673  0.641  0.65
Rabcewiczowa 1932   7  0.6562  0.0015  0.0815  0.412  0.6212  0.50
Rachmaninoff 1923   58  0.5286  0.0048  0.0651  0.0649  0.0678  0.06
Rangell 2001   45  0.548  0.0352  0.0555  0.0511  0.5047  0.16
Richter 1976   44  0.5439  0.0047  0.0845  0.0811  0.5740  0.21
Rosen 1989   25  0.6180  0.0035  0.0440  0.1823  0.3536  0.25
Rosenthal 1930   49  0.5387  0.0070  0.0461  0.0421  0.4652  0.14
Rosenthal 1931   68  0.5033  0.0083  0.0384  0.0323  0.3367  0.10
Rosenthal 1931b   72  0.4749  0.0085  0.0476  0.0434  0.2573  0.10
Rosenthal 1931c   52  0.5336  0.0071  0.0557  0.0524  0.4054  0.14
Rosenthal 1931d   75  0.4675  0.0084  0.0287  0.0228  0.3577  0.08
Rossi 2007   82  0.4344  0.0075  0.0472  0.0426  0.3359  0.11
Rubinstein 1939   39  0.5658  0.0051  0.0553  0.0529  0.3356  0.13
Rubinstein 1952   21  0.6235  0.0026  0.0825  0.3013  0.5523  0.41
Rubinstein 1966   26  0.606  0.0419  0.1018  0.3916  0.5118  0.45
Schilhawsky 1960   33  0.5853  0.0037  0.0529  0.2424  0.4431  0.32
Shebanova 2002   31  0.5850  0.0042  0.0642  0.1447  0.0676  0.09
Smith 1975   42  0.5428  0.0055  0.0559  0.0541  0.1675  0.09
Sokolov 2002   50  0.5366  0.0054  0.0463  0.0422  0.3358  0.11
Sztompka 1959   18  0.6316  0.015  0.138  0.4729  0.4815  0.47
Tomsic 1995   40  0.5551  0.0061  0.0460  0.0416  0.5151  0.14
Uninsky 1932   29  0.5952  0.0039  0.0532  0.2421  0.4630  0.33
Uninsky 1971   8  0.6541  0.0025  0.0820  0.3620  0.4921  0.42
Wasowski 1980   11  0.6423  0.0114  0.0813  0.434  0.6110  0.51
Zak 1937   14  0.6312  0.0218  0.1017  0.4016  0.4520  0.42
Zak 1951   15  0.6376  0.0017  0.0916  0.4021  0.4322  0.41
Random 1   88  -0.0367  0.0088  0.0289  0.025  0.4970  0.10
Random 2   90  -0.0890  0.0090  0.0190  0.0180  0.0290  0.01
Random 3   89  -0.0788  0.0089  0.0288  0.025  0.4671  0.10

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).