Kapell 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   14  0.7041  0.0021  0.0719  0.3727  0.3328  0.35
Anderszewski 2003   43  0.626  0.039  0.1011  0.448  0.4910  0.46
Ashkenazy 1981   41  0.6335  0.0017  0.0815  0.4018  0.4417  0.42
Bacha 2000   66  0.5383  0.0059  0.0475  0.0430  0.2258  0.09
Badura 1965   80  0.4640  0.0065  0.0474  0.0453  0.0580  0.04
Barbosa 1983   77  0.4736  0.0055  0.0466  0.0421  0.2953  0.11
Biret 1990   12  0.7069  0.0012  0.1112  0.435  0.4912  0.46
Blet 2003   18  0.6943  0.0032  0.0925  0.308  0.4625  0.37
Block 1995   79  0.4742  0.0074  0.0379  0.0356  0.0485  0.03
Blumental 1952   69  0.5224  0.0020  0.0932  0.273  0.4727  0.36
Boshniakovich 1969   62  0.5479  0.0071  0.0382  0.0371  0.0486  0.03
Brailowsky 1960   68  0.5259  0.0080  0.0555  0.0545  0.1063  0.07
Bunin 1987   28  0.6567  0.0036  0.0833  0.2710  0.5026  0.37
Bunin 1987b   29  0.6587  0.0035  0.0830  0.289  0.5120  0.38
Chiu 1999   84  0.4168  0.0069  0.0468  0.0449  0.0669  0.05
Cohen 1997   87  0.3189  0.0083  0.0384  0.0333  0.1565  0.07
Cortot 1951   5  0.7537  0.006  0.157  0.472  0.693  0.57
Csalog 1996   26  0.6518  0.0147  0.0464  0.043  0.5643  0.15
Czerny 1949   13  0.7021  0.0110  0.106  0.479  0.537  0.50
Czerny 1990   7  0.7316  0.0111  0.108  0.4713  0.509  0.48
Duchoud 2007   31  0.6547  0.0038  0.0735  0.209  0.4233  0.29
Ezaki 2006   24  0.6719  0.0128  0.0621  0.3523  0.3329  0.34
Falvay 1989   67  0.5250  0.0081  0.0547  0.0564  0.0570  0.05
Farrell 1958   53  0.5753  0.0060  0.0476  0.0446  0.0771  0.05
Ferenczy 1958   3  0.784  0.093  0.315  0.501  0.731  0.60
Fliere 1977   8  0.7234  0.0029  0.0724  0.3039  0.1835  0.23
Fou 1978   73  0.5065  0.0075  0.0383  0.0371  0.0484  0.03
Francois 1956   25  0.6629  0.0045  0.0445  0.0828  0.3141  0.16
Friedman 1923   86  0.3681  0.0067  0.0551  0.0524  0.3152  0.12
Friedman 1923b   85  0.3784  0.0066  0.0549  0.0522  0.3449  0.13
Friedman 1930   70  0.5164  0.0049  0.0467  0.0414  0.4447  0.13
Garcia 2007   64  0.5454  0.0057  0.0746  0.0711  0.4638  0.18
Garcia 2007b   81  0.4558  0.0056  0.0554  0.0512  0.3151  0.12
Gierzod 1998   10  0.7185  0.0022  0.0820  0.3716  0.4218  0.39
Gornostaeva 1994   47  0.6055  0.0072  0.0462  0.0451  0.0581  0.04
Groot 1988   45  0.6166  0.0058  0.0460  0.0444  0.1068  0.06
Harasiewicz 1955   58  0.5511  0.0113  0.0814  0.4020  0.3722  0.38
Hatto 1993   71  0.5173  0.0034  0.0739  0.1519  0.2936  0.21
Hatto 1997   55  0.5757  0.0016  0.0728  0.2814  0.4030  0.33
Horowitz 1949   60  0.5570  0.0070  0.0470  0.0456  0.0478  0.04
Indjic 1988   65  0.5382  0.0033  0.0737  0.1617  0.3634  0.24
Kapell 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kissin 1993   50  0.5878  0.0073  0.0458  0.0464  0.0479  0.04
Kushner 1989   21  0.6862  0.0041  0.0636  0.1738  0.1739  0.17
Luisada 1991   49  0.5852  0.0050  0.0463  0.0440  0.1362  0.07
Lushtak 2004   42  0.6315  0.018  0.109  0.465  0.4611  0.46
Malcuzynski 1961   37  0.6449  0.0054  0.0552  0.0540  0.1261  0.08
Magaloff 1978   59  0.5580  0.0079  0.0461  0.0474  0.0474  0.04
Magin 1975   61  0.5556  0.0068  0.0378  0.0360  0.0483  0.03
Michalowski 1933   44  0.6277  0.0018  0.0713  0.4111  0.4814  0.44
Milkina 1970   40  0.6317  0.0163  0.0473  0.0470  0.0476  0.04
Mohovich 1999   19  0.6920  0.0127  0.0627  0.2825  0.3632  0.32
Moravec 1969   33  0.648  0.0253  0.0553  0.057  0.5040  0.16
Morozova 2008   56  0.5671  0.0051  0.0472  0.0445  0.0773  0.05
Neighaus 1950   39  0.6346  0.0037  0.0734  0.2060  0.0557  0.10
Niedzielski 1931   34  0.6430  0.0048  0.0459  0.048  0.4744  0.14
Ohlsson 1999   22  0.6844  0.0023  0.0722  0.3416  0.4024  0.37
Osinska 1989   17  0.6933  0.0031  0.0631  0.2822  0.3731  0.32
Pachmann 1927   82  0.4474  0.0088  0.0471  0.0446  0.0672  0.05
Paderewski 1930   16  0.7013  0.0130  0.0629  0.283  0.4923  0.37
Perlemuter 1992   48  0.5961  0.0039  0.0738  0.1525  0.2737  0.20
Pierdomenico 2008   76  0.4860  0.0078  0.0380  0.0360  0.0575  0.04
Poblocka 1999   2  0.802  0.132  0.212  0.532  0.584  0.55
Rabcewiczowa 1932   11  0.7127  0.0014  0.0816  0.394  0.588  0.48
Rachmaninoff 1923   51  0.5726  0.0052  0.0457  0.0437  0.1660  0.08
Rangell 2001   57  0.567  0.0264  0.0469  0.0450  0.0582  0.04
Richter 1976   52  0.5732  0.0062  0.0556  0.0516  0.4342  0.15
Rosen 1989   32  0.6525  0.0046  0.0550  0.0545  0.0964  0.07
Rosenthal 1930   35  0.6445  0.0061  0.0465  0.0420  0.3650  0.12
Rosenthal 1931   74  0.5088  0.0084  0.0385  0.0339  0.1467  0.06
Rosenthal 1931b   78  0.4776  0.0087  0.0381  0.0356  0.0489  0.03
Rosenthal 1931c   46  0.6048  0.0076  0.0477  0.0430  0.2854  0.11
Rosenthal 1931d   75  0.4991  0.0086  0.0287  0.0252  0.0588  0.03
Rossi 2007   88  0.2963  0.0082  0.0386  0.0331  0.2159  0.08
Rubinstein 1939   83  0.4210  0.0185  0.0288  0.0242  0.1666  0.06
Rubinstein 1952   72  0.515  0.0715  0.0842  0.1144  0.1155  0.11
Rubinstein 1966   63  0.5423  0.0044  0.0444  0.0845  0.1256  0.10
Schilhawsky 1960   6  0.7438  0.005  0.134  0.518  0.516  0.51
Shebanova 2002   30  0.6539  0.0043  0.0641  0.1343  0.1348  0.13
Smith 1975   20  0.6812  0.0126  0.0717  0.3711  0.5015  0.43
Sokolov 2002   15  0.7014  0.0124  0.0718  0.378  0.4816  0.42
Sztompka 1959   4  0.753  0.104  0.283  0.515  0.565  0.53
Tomsic 1995   54  0.5728  0.0077  0.0548  0.0559  0.0477  0.04
Uninsky 1932   38  0.6431  0.0019  0.0723  0.3117  0.4721  0.38
Uninsky 1971   9  0.7222  0.007  0.1610  0.4413  0.4713  0.45
Wasowski 1980   23  0.679  0.0125  0.0526  0.292  0.5119  0.38
Zak 1937   27  0.6572  0.0042  0.0543  0.1138  0.1745  0.14
Zak 1951   36  0.6451  0.0040  0.0640  0.1440  0.1346  0.13
Average   1  0.811  0.331  0.331  0.7214  0.472  0.58
Random 1   91  -0.2290  0.0091  0.0191  0.0189  0.0191  0.01
Random 2   90  -0.1286  0.0090  0.0290  0.0266  0.0390  0.02
Random 3   89  -0.0575  0.0089  0.0289  0.0254  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).