Kapell 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   13  0.7044  0.0020  0.0718  0.3726  0.3327  0.35
Anderszewski 2003   42  0.625  0.068  0.1010  0.447  0.499  0.46
Ashkenazy 1981   40  0.6337  0.0016  0.0814  0.4017  0.4416  0.42
Bacha 2000   65  0.5384  0.0058  0.0474  0.0429  0.2257  0.09
Badura 1965   79  0.4645  0.0064  0.0473  0.0452  0.0580  0.04
Barbosa 1983   76  0.4740  0.0054  0.0465  0.0420  0.2952  0.11
Biret 1990   11  0.7025  0.0111  0.1111  0.434  0.4911  0.46
Blet 2003   17  0.6946  0.0031  0.0924  0.307  0.4624  0.37
Block 1995   78  0.4735  0.0073  0.0478  0.0455  0.0481  0.04
Blumental 1952   68  0.5228  0.0019  0.0931  0.273  0.4726  0.36
Boshniakovich 1969   61  0.5476  0.0070  0.0381  0.0370  0.0486  0.03
Brailowsky 1960   67  0.5262  0.0079  0.0554  0.0544  0.1062  0.07
Bunin 1987   27  0.6568  0.0035  0.0832  0.279  0.5025  0.37
Bunin 1987b   28  0.6587  0.0034  0.0829  0.288  0.5119  0.38
Chiu 1999   83  0.4169  0.0068  0.0467  0.0448  0.0668  0.05
Cohen 1997   86  0.3188  0.0082  0.0383  0.0332  0.1564  0.07
Cortot 1951   4  0.7541  0.005  0.156  0.472  0.692  0.57
Csalog 1996   25  0.6522  0.0146  0.0463  0.043  0.5642  0.15
Czerny 1949   12  0.7020  0.019  0.105  0.478  0.536  0.50
Czerny 1990   6  0.739  0.0210  0.107  0.4712  0.508  0.48
Duchoud 2007   30  0.6550  0.0037  0.0734  0.208  0.4232  0.29
Ezaki 2006   23  0.6718  0.0127  0.0620  0.3522  0.3328  0.34
Falvay 1989   66  0.5256  0.0080  0.0546  0.0563  0.0569  0.05
Farrell 1958   52  0.5757  0.0059  0.0475  0.0445  0.0770  0.05
Ferenczy 1958   2  0.782  0.192  0.314  0.501  0.731  0.60
Fliere 1977   7  0.7219  0.0128  0.0723  0.3038  0.1834  0.23
Fou 1978   72  0.5063  0.0074  0.0382  0.0370  0.0485  0.03
Francois 1956   24  0.6630  0.0044  0.0444  0.0827  0.3140  0.16
Friedman 1923   85  0.3680  0.0066  0.0550  0.0523  0.3151  0.12
Friedman 1923b   84  0.3785  0.0065  0.0548  0.0521  0.3448  0.13
Friedman 1930   69  0.5167  0.0048  0.0466  0.0413  0.4446  0.13
Garcia 2007   63  0.5458  0.0056  0.0745  0.0710  0.4637  0.18
Garcia 2007b   80  0.4559  0.0055  0.0553  0.0511  0.3150  0.12
Gierzod 1998   9  0.7181  0.0021  0.0819  0.3715  0.4217  0.39
Gornostaeva 1994   46  0.6053  0.0071  0.0461  0.0450  0.0582  0.04
Groot 1988   44  0.6134  0.0057  0.0459  0.0443  0.1067  0.06
Harasiewicz 1955   57  0.556  0.0412  0.0813  0.4019  0.3721  0.38
Hatto 1993   70  0.5172  0.0033  0.0738  0.1518  0.2935  0.21
Hatto 1997   54  0.5761  0.0015  0.0727  0.2813  0.4029  0.33
Horowitz 1949   59  0.5570  0.0069  0.0469  0.0455  0.0478  0.04
Indjic 1988   64  0.5382  0.0032  0.0736  0.1616  0.3633  0.24
Kapell 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kissin 1993   49  0.5878  0.0072  0.0457  0.0463  0.0479  0.04
Kushner 1989   20  0.6865  0.0040  0.0735  0.1737  0.1738  0.17
Luisada 1991   48  0.5852  0.0049  0.0462  0.0439  0.1361  0.07
Lushtak 2004   41  0.6310  0.027  0.108  0.464  0.4610  0.46
Malcuzynski 1961   36  0.6448  0.0053  0.0551  0.0539  0.1260  0.08
Magaloff 1978   58  0.5579  0.0078  0.0460  0.0473  0.0473  0.04
Magin 1975   60  0.5554  0.0067  0.0477  0.0459  0.0475  0.04
Michalowski 1933   43  0.6277  0.0017  0.0812  0.4110  0.4813  0.44
Milkina 1970   39  0.6316  0.0162  0.0472  0.0469  0.0476  0.04
Mohovich 1999   18  0.6921  0.0126  0.0626  0.2824  0.3631  0.32
Moravec 1969   32  0.648  0.0252  0.0552  0.056  0.5039  0.16
Morozova 2008   55  0.5638  0.0050  0.0471  0.0444  0.0772  0.05
Neighaus 1950   38  0.6339  0.0036  0.0733  0.2059  0.0556  0.10
Niedzielski 1931   33  0.6431  0.0047  0.0458  0.047  0.4743  0.14
Ohlsson 1999   21  0.6847  0.0022  0.0721  0.3415  0.4023  0.37
Osinska 1989   16  0.6936  0.0030  0.0630  0.2821  0.3730  0.32
Pachmann 1927   81  0.4473  0.0087  0.0470  0.0445  0.0671  0.05
Paderewski 1930   15  0.7013  0.0129  0.0728  0.282  0.4922  0.37
Perlemuter 1992   47  0.5960  0.0038  0.0737  0.1524  0.2736  0.20
Pierdomenico 2008   75  0.4864  0.0077  0.0379  0.0359  0.0574  0.04
Poblocka 1999   1  0.801  0.211  0.211  0.531  0.583  0.55
Rabcewiczowa 1932   10  0.7123  0.0113  0.0815  0.393  0.587  0.48
Rachmaninoff 1923   50  0.5724  0.0151  0.0456  0.0436  0.1659  0.08
Rangell 2001   56  0.567  0.0363  0.0468  0.0449  0.0583  0.04
Richter 1976   51  0.5733  0.0061  0.0555  0.0515  0.4341  0.15
Rosen 1989   31  0.6526  0.0145  0.0549  0.0544  0.0963  0.07
Rosenthal 1930   34  0.6449  0.0060  0.0464  0.0419  0.3649  0.12
Rosenthal 1931   73  0.5083  0.0083  0.0384  0.0338  0.1466  0.06
Rosenthal 1931b   77  0.4775  0.0086  0.0380  0.0355  0.0584  0.04
Rosenthal 1931c   45  0.6051  0.0075  0.0476  0.0429  0.2853  0.11
Rosenthal 1931d   74  0.4990  0.0085  0.0286  0.0251  0.0588  0.03
Rossi 2007   87  0.2966  0.0081  0.0385  0.0330  0.2158  0.08
Rubinstein 1939   82  0.4212  0.0184  0.0287  0.0241  0.1665  0.06
Rubinstein 1952   71  0.514  0.0814  0.0841  0.1143  0.1154  0.11
Rubinstein 1966   62  0.5417  0.0143  0.0443  0.0844  0.1255  0.10
Schilhawsky 1960   5  0.7442  0.004  0.133  0.517  0.515  0.51
Shebanova 2002   29  0.6543  0.0042  0.0640  0.1342  0.1347  0.13
Smith 1975   19  0.6814  0.0125  0.0716  0.3710  0.5014  0.43
Sokolov 2002   14  0.7015  0.0123  0.0717  0.377  0.4815  0.42
Sztompka 1959   3  0.753  0.113  0.282  0.514  0.564  0.53
Tomsic 1995   53  0.5729  0.0076  0.0547  0.0558  0.0477  0.04
Uninsky 1932   37  0.6432  0.0018  0.0722  0.3116  0.4720  0.38
Uninsky 1971   8  0.7227  0.006  0.169  0.4412  0.4712  0.45
Wasowski 1980   22  0.6711  0.0224  0.0525  0.291  0.5118  0.38
Zak 1937   26  0.6571  0.0041  0.0542  0.1137  0.1744  0.14
Zak 1951   35  0.6455  0.0039  0.0639  0.1439  0.1345  0.13
Random 1   90  -0.2289  0.0090  0.0190  0.0188  0.0190  0.01
Random 2   89  -0.1286  0.0089  0.0289  0.0268  0.0389  0.02
Random 3   88  -0.0574  0.0088  0.0288  0.0253  0.0587  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).