Kapell 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   27  0.5647  0.0039  0.0738  0.2252  0.0545  0.10
Anderszewski 2003   22  0.575  0.088  0.1110  0.525  0.574  0.54
Ashkenazy 1981   18  0.6126  0.0117  0.1011  0.4914  0.4617  0.47
Bacha 2000   60  0.4533  0.0061  0.0467  0.0444  0.1250  0.07
Badura 1965   77  0.3582  0.0063  0.0460  0.0447  0.0657  0.05
Barbosa 1983   41  0.5253  0.0032  0.0835  0.2920  0.4431  0.36
Biret 1990   16  0.6164  0.0029  0.1024  0.4310  0.5314  0.48
Blet 2003   20  0.6029  0.0026  0.1221  0.446  0.4723  0.45
Block 1995   67  0.4172  0.0073  0.0379  0.0379  0.0383  0.03
Blumental 1952   73  0.389  0.0316  0.0932  0.319  0.4530  0.37
Boshniakovich 1969   72  0.4070  0.0078  0.0378  0.0364  0.0384  0.03
Brailowsky 1960   70  0.4062  0.0081  0.0470  0.0462  0.0459  0.04
Bunin 1987   9  0.6523  0.0113  0.106  0.537  0.536  0.53
Bunin 1987b   8  0.6544  0.0014  0.115  0.537  0.535  0.53
Chiu 1999   74  0.3828  0.0059  0.0461  0.0457  0.0460  0.04
Cohen 1997   80  0.3079  0.0079  0.0376  0.0361  0.0485  0.03
Cortot 1951   24  0.5673  0.0024  0.1122  0.439  0.5022  0.46
Csalog 1996   61  0.4530  0.0077  0.0468  0.0440  0.1749  0.08
Czerny 1949   19  0.6041  0.0023  0.1014  0.4714  0.5610  0.51
Czerny 1990   3  0.7016  0.017  0.133  0.557  0.583  0.56
Duchoud 2007   6  0.6634  0.0022  0.1215  0.4613  0.4720  0.46
Ezaki 2006   31  0.5536  0.0038  0.0636  0.2756  0.0542  0.12
Falvay 1989   45  0.5169  0.0052  0.0466  0.0450  0.0561  0.04
Farrell 1958   39  0.5256  0.0049  0.0747  0.0723  0.3339  0.15
Ferenczy 1958   5  0.6721  0.015  0.1113  0.482  0.578  0.52
Fliere 1977   25  0.5639  0.0047  0.0648  0.0652  0.0652  0.06
Fou 1978   76  0.3752  0.0082  0.0457  0.0476  0.0464  0.04
Francois 1956   10  0.6425  0.0128  0.1125  0.4216  0.4225  0.42
Friedman 1923   86  0.2160  0.0044  0.0644  0.1231  0.2238  0.16
Friedman 1923b   85  0.2265  0.0043  0.0641  0.1330  0.2536  0.18
Friedman 1930   65  0.4318  0.0130  0.1028  0.3913  0.5224  0.45
Garcia 2007   79  0.3054  0.0065  0.0472  0.0435  0.1948  0.09
Garcia 2007b   87  0.2078  0.0071  0.0375  0.0342  0.1254  0.06
Gierzod 1998   37  0.5374  0.0037  0.0834  0.2943  0.1037  0.17
Gornostaeva 1994   44  0.5175  0.0069  0.0555  0.0565  0.0475  0.04
Groot 1988   23  0.5787  0.0056  0.0556  0.0574  0.0377  0.04
Harasiewicz 1955   58  0.478  0.0310  0.1212  0.4934  0.2335  0.34
Hatto 1993   59  0.4715  0.0119  0.1227  0.409  0.5321  0.46
Hatto 1997   38  0.5310  0.0211  0.1117  0.458  0.5213  0.48
Horowitz 1949   48  0.517  0.0435  0.0743  0.1233  0.1940  0.15
Indjic 1988   54  0.4940  0.0018  0.1026  0.418  0.5315  0.47
Kapell 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kissin 1993   63  0.4445  0.0072  0.0381  0.0362  0.0482  0.03
Kushner 1989   34  0.5488  0.0057  0.0469  0.0462  0.0465  0.04
Luisada 1991   49  0.5035  0.0041  0.0642  0.1246  0.0746  0.09
Lushtak 2004   26  0.5632  0.0021  0.1116  0.4617  0.4816  0.47
Malcuzynski 1961   15  0.6263  0.0040  0.0640  0.1347  0.0647  0.09
Magaloff 1978   47  0.5148  0.0068  0.0458  0.0464  0.0379  0.03
Magin 1975   75  0.3724  0.0170  0.0374  0.0357  0.0480  0.03
Michalowski 1933   52  0.4955  0.0012  0.1019  0.456  0.4718  0.46
Milkina 1970   50  0.5080  0.0075  0.0384  0.0361  0.0481  0.03
Mohovich 1999   35  0.5476  0.0053  0.0464  0.0465  0.0474  0.04
Moravec 1969   13  0.6366  0.0033  0.0729  0.3718  0.3828  0.37
Morozova 2008   64  0.4450  0.0046  0.0550  0.0567  0.0471  0.04
Neighaus 1950   36  0.5457  0.0048  0.0946  0.0959  0.0551  0.07
Niedzielski 1931   43  0.5219  0.0150  0.0552  0.0514  0.3941  0.14
Ohlsson 1999   11  0.6437  0.0027  0.1118  0.4524  0.2733  0.35
Osinska 1989   28  0.5668  0.0045  0.0645  0.1137  0.1443  0.12
Pachmann 1927   78  0.3411  0.0280  0.0377  0.0351  0.0569  0.04
Paderewski 1930   14  0.6222  0.0131  0.1023  0.432  0.5512  0.49
Perlemuter 1992   71  0.4071  0.0060  0.0551  0.0567  0.0458  0.04
Pierdomenico 2008   66  0.4384  0.0066  0.0373  0.0355  0.0562  0.04
Poblocka 1999   2  0.712  0.122  0.182  0.572  0.661  0.61
Rabcewiczowa 1932   33  0.5485  0.0036  0.0631  0.3219  0.4627  0.38
Rachmaninoff 1923   57  0.4731  0.0042  0.0539  0.1545  0.0944  0.12
Rangell 2001   42  0.5217  0.0162  0.0463  0.0455  0.0476  0.04
Richter 1976   30  0.5512  0.0115  0.1033  0.3010  0.4132  0.35
Rosen 1989   56  0.4861  0.0064  0.0549  0.0551  0.0473  0.04
Rosenthal 1930   62  0.4559  0.0067  0.0462  0.0448  0.0572  0.04
Rosenthal 1931   83  0.2483  0.0087  0.0286  0.0266  0.0388  0.02
Rosenthal 1931b   84  0.2386  0.0086  0.0290  0.0272  0.0390  0.02
Rosenthal 1931c   68  0.4189  0.0076  0.0380  0.0362  0.0486  0.03
Rosenthal 1931d   81  0.2890  0.0085  0.0285  0.0272  0.0389  0.02
Rossi 2007   88  0.1191  0.0088  0.0287  0.0268  0.0387  0.02
Rubinstein 1939   82  0.2814  0.0184  0.0383  0.0348  0.0563  0.04
Rubinstein 1952   69  0.4113  0.0183  0.0465  0.0469  0.0478  0.04
Rubinstein 1966   55  0.4858  0.0074  0.0382  0.0356  0.0670  0.04
Schilhawsky 1960   12  0.6438  0.006  0.128  0.532  0.652  0.59
Shebanova 2002   46  0.5149  0.0051  0.0459  0.0456  0.0655  0.05
Smith 1975   21  0.5943  0.0025  0.0920  0.4522  0.3426  0.39
Sokolov 2002   4  0.686  0.079  0.134  0.536  0.509  0.51
Sztompka 1959   7  0.664  0.094  0.127  0.535  0.517  0.52
Tomsic 1995   32  0.5546  0.0055  0.0553  0.0570  0.0468  0.04
Uninsky 1932   40  0.5220  0.0120  0.1030  0.3617  0.3929  0.37
Uninsky 1971   17  0.613  0.093  0.129  0.5213  0.4911  0.50
Wasowski 1980   29  0.5627  0.0034  0.0837  0.2712  0.4234  0.34
Zak 1937   51  0.5077  0.0058  0.0471  0.0461  0.0566  0.04
Zak 1951   53  0.4967  0.0054  0.0554  0.0565  0.0467  0.04
Average   1  0.761  0.201  0.201  0.7328  0.2919  0.46
Random 1   91  -0.1581  0.0091  0.0191  0.0191  0.0191  0.01
Random 2   90  -0.0142  0.0090  0.0289  0.0239  0.1356  0.05
Random 3   89  0.0251  0.0089  0.0288  0.0234  0.2153  0.06

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).