Kapell 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   69  0.1935  0.0068  0.0749  0.0760  0.0466  0.05
Anderszewski 2003   67  0.2172  0.0063  0.0564  0.0540  0.1451  0.08
Ashkenazy 1981   8  0.5040  0.0010  0.138  0.6226  0.5810  0.60
Bacha 2000   38  0.3517  0.0124  0.0730  0.2817  0.5023  0.37
Badura 1965   73  0.1673  0.0071  0.0661  0.0680  0.0377  0.04
Barbosa 1983   15  0.4329  0.0013  0.1111  0.498  0.6411  0.56
Biret 1990   48  0.3139  0.0056  0.0573  0.0526  0.5043  0.16
Blet 2003   19  0.4025  0.0015  0.1014  0.4720  0.5612  0.51
Block 1995   52  0.3043  0.0061  0.0748  0.0757  0.0560  0.06
Blumental 1952   35  0.3712  0.0225  0.0922  0.3914  0.5620  0.47
Boshniakovich 1969   40  0.3410  0.0218  0.0824  0.3432  0.3328  0.33
Brailowsky 1960   76  0.1454  0.0073  0.0567  0.0561  0.0563  0.05
Bunin 1987   21  0.4022  0.0122  0.0918  0.4412  0.5615  0.50
Bunin 1987b   20  0.4024  0.0023  0.1419  0.4413  0.5613  0.50
Chiu 1999   7  0.524  0.094  0.185  0.6314  0.655  0.64
Cohen 1997   75  0.1486  0.0076  0.0478  0.0482  0.0280  0.03
Cortot 1951   77  0.1259  0.0077  0.0477  0.0470  0.0382  0.03
Csalog 1996   64  0.2241  0.0065  0.0752  0.0759  0.0559  0.06
Czerny 1949   78  0.1174  0.0078  0.0379  0.0356  0.0576  0.04
Czerny 1990   4  0.5313  0.027  0.244  0.669  0.794  0.72
Duchoud 2007   14  0.4315  0.0117  0.1015  0.4612  0.5514  0.50
Ezaki 2006   82  0.0265  0.0084  0.0282  0.0286  0.0283  0.02
Falvay 1989   42  0.3468  0.0050  0.0750  0.0727  0.2946  0.14
Farrell 1958   59  0.2847  0.0027  0.0742  0.1236  0.2540  0.17
Ferenczy 1958   84  0.0252  0.0082  0.0283  0.0245  0.0875  0.04
Fliere 1977   26  0.3834  0.0033  0.0625  0.3444  0.1936  0.25
Fou 1978   31  0.3720  0.0126  0.0923  0.3626  0.3924  0.37
Francois 1956   66  0.2128  0.0067  0.0570  0.0552  0.0670  0.05
Friedman 1923   33  0.3755  0.0035  0.0633  0.2338  0.3633  0.29
Friedman 1923b   29  0.3860  0.0032  0.0631  0.2738  0.4129  0.33
Friedman 1930   10  0.4830  0.009  0.127  0.6311  0.666  0.64
Garcia 2007   22  0.4027  0.0019  0.0927  0.3231  0.3727  0.34
Garcia 2007b   44  0.3356  0.0048  0.0845  0.0837  0.2844  0.15
Gierzod 1998   86  0.0087  0.0079  0.0476  0.0485  0.0279  0.03
Gornostaeva 1994   74  0.1561  0.0072  0.0569  0.0578  0.0378  0.04
Groot 1988   37  0.3688  0.0049  0.0658  0.0662  0.0661  0.06
Harasiewicz 1955   16  0.425  0.048  0.1221  0.4022  0.4222  0.41
Hatto 1993   3  0.551  0.211  0.211  0.779  0.692  0.73
Hatto 1997   11  0.4814  0.0211  0.1410  0.594  0.648  0.61
Horowitz 1949   1  0.562  0.173  0.203  0.711  0.791  0.75
Indjic 1988   2  0.563  0.122  0.262  0.758  0.703  0.72
Kapell 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kissin 1993   28  0.3837  0.0029  0.0932  0.2724  0.5226  0.37
Kushner 1989   27  0.3869  0.0037  0.0637  0.1636  0.2439  0.20
Luisada 1991   17  0.4223  0.0120  0.1017  0.4524  0.5116  0.48
Lushtak 2004   57  0.2880  0.0058  0.0663  0.0659  0.0568  0.05
Malcuzynski 1961   63  0.2448  0.0066  0.0660  0.0674  0.0464  0.05
Magaloff 1978   70  0.1845  0.0069  0.0571  0.0584  0.0373  0.04
Magin 1975   43  0.3342  0.0036  0.0638  0.1528  0.4834  0.27
Michalowski 1933   25  0.3932  0.0034  0.0629  0.2831  0.3630  0.32
Milkina 1970   54  0.2966  0.0040  0.0539  0.1423  0.4437  0.25
Mohovich 1999   60  0.2746  0.0060  0.0655  0.0648  0.0855  0.07
Moravec 1969   45  0.3375  0.0055  0.0566  0.0550  0.0562  0.05
Morozova 2008   46  0.3270  0.0044  0.0544  0.0946  0.0752  0.08
Neighaus 1950   50  0.3049  0.0057  0.0657  0.0659  0.0569  0.05
Niedzielski 1931   13  0.4416  0.0116  0.1013  0.4719  0.4819  0.47
Ohlsson 1999   51  0.3044  0.0052  0.0847  0.0862  0.0458  0.06
Osinska 1989   65  0.2262  0.0064  0.0475  0.0455  0.0572  0.04
Pachmann 1927   56  0.2876  0.0062  0.0654  0.0653  0.0757  0.06
Paderewski 1930   49  0.3157  0.0054  0.0751  0.0740  0.2448  0.13
Perlemuter 1992   71  0.1863  0.0070  0.0565  0.0572  0.0471  0.04
Pierdomenico 2008   36  0.3681  0.0046  0.0572  0.0530  0.2649  0.11
Poblocka 1999   47  0.3271  0.0045  0.0568  0.0529  0.3247  0.13
Rabcewiczowa 1932   72  0.1782  0.0075  0.0574  0.0565  0.0474  0.04
Rachmaninoff 1923   30  0.3726  0.0043  0.0541  0.1229  0.3638  0.21
Rangell 2001   24  0.4036  0.0038  0.0734  0.2015  0.4332  0.29
Richter 1976   12  0.4719  0.0114  0.1216  0.4535  0.5117  0.48
Rosen 1989   41  0.349  0.0241  0.0540  0.1347  0.0553  0.08
Rosenthal 1930   68  0.2077  0.0074  0.0659  0.0670  0.0467  0.05
Rosenthal 1931   87  -0.0278  0.0086  0.0288  0.0274  0.0386  0.02
Rosenthal 1931b   85  0.0083  0.0087  0.0285  0.0285  0.0288  0.02
Rosenthal 1931c   80  0.0564  0.0088  0.0281  0.0290  0.0190  0.01
Rosenthal 1931d   83  0.0284  0.0080  0.0380  0.0379  0.0381  0.03
Rossi 2007   89  -0.0689  0.0081  0.0286  0.0285  0.0284  0.02
Rubinstein 1939   61  0.2631  0.0059  0.0662  0.0644  0.1050  0.08
Rubinstein 1952   32  0.377  0.0321  0.1220  0.4315  0.5318  0.48
Rubinstein 1966   23  0.4038  0.0030  0.0626  0.3323  0.3231  0.32
Schilhawsky 1960   55  0.2967  0.0051  0.0653  0.0624  0.4242  0.16
Shebanova 2002   5  0.536  0.045  0.166  0.6322  0.627  0.62
Smith 1975   79  0.0785  0.0085  0.0284  0.0281  0.0385  0.02
Sokolov 2002   58  0.2853  0.0042  0.0543  0.1040  0.2045  0.14
Sztompka 1959   39  0.3451  0.0047  0.0656  0.0647  0.0854  0.07
Tomsic 1995   62  0.2579  0.0053  0.0846  0.0859  0.0556  0.06
Uninsky 1932   9  0.4833  0.0012  0.1612  0.4927  0.4021  0.44
Uninsky 1971   53  0.3011  0.0228  0.0936  0.1739  0.1641  0.16
Wasowski 1980   6  0.528  0.036  0.179  0.5914  0.619  0.60
Zak 1937   18  0.4021  0.0131  0.0728  0.3124  0.4425  0.37
Zak 1951   34  0.3750  0.0039  0.0735  0.1825  0.4235  0.27
Random 1   90  -0.1090  0.0089  0.0189  0.0188  0.0289  0.01
Random 2   81  0.0418  0.0183  0.0287  0.0239  0.1465  0.05
Random 3   88  -0.0558  0.0090  0.0190  0.0169  0.0387  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).