Kapell 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   26  0.5648  0.0038  0.0737  0.2251  0.0544  0.10
Anderszewski 2003   21  0.572  0.107  0.119  0.524  0.574  0.54
Ashkenazy 1981   17  0.6125  0.0116  0.1010  0.4913  0.4617  0.47
Bacha 2000   59  0.4533  0.0060  0.0466  0.0443  0.1249  0.07
Badura 1965   76  0.3581  0.0062  0.0459  0.0446  0.0656  0.05
Barbosa 1983   40  0.5253  0.0031  0.0834  0.2919  0.4430  0.36
Biret 1990   15  0.6164  0.0028  0.1023  0.439  0.5314  0.48
Blet 2003   19  0.6028  0.0025  0.1220  0.445  0.4722  0.45
Block 1995   66  0.4173  0.0072  0.0378  0.0378  0.0382  0.03
Blumental 1952   72  0.389  0.0315  0.1031  0.318  0.4529  0.37
Boshniakovich 1969   71  0.4072  0.0077  0.0377  0.0363  0.0383  0.03
Brailowsky 1960   69  0.4062  0.0080  0.0469  0.0461  0.0458  0.04
Bunin 1987   8  0.6516  0.0112  0.105  0.536  0.536  0.53
Bunin 1987b   7  0.6544  0.0013  0.124  0.536  0.535  0.53
Chiu 1999   73  0.3827  0.0058  0.0460  0.0456  0.0459  0.04
Cohen 1997   79  0.3077  0.0078  0.0375  0.0360  0.0484  0.03
Cortot 1951   23  0.5674  0.0023  0.1121  0.438  0.5021  0.46
Csalog 1996   60  0.4530  0.0076  0.0467  0.0439  0.1748  0.08
Czerny 1949   18  0.6042  0.0022  0.1013  0.4713  0.5610  0.51
Czerny 1990   2  0.7011  0.026  0.142  0.556  0.583  0.56
Duchoud 2007   5  0.6635  0.0021  0.1214  0.4612  0.4719  0.46
Ezaki 2006   30  0.5537  0.0037  0.0635  0.2755  0.0541  0.12
Falvay 1989   44  0.5169  0.0051  0.0465  0.0449  0.0560  0.04
Farrell 1958   38  0.5257  0.0048  0.0746  0.0722  0.3338  0.15
Ferenczy 1958   4  0.6722  0.014  0.1212  0.482  0.578  0.52
Fliere 1977   24  0.5641  0.0046  0.0647  0.0651  0.0651  0.06
Fou 1978   75  0.3754  0.0081  0.0456  0.0475  0.0463  0.04
Francois 1956   9  0.6423  0.0127  0.1124  0.4215  0.4224  0.42
Friedman 1923   85  0.2160  0.0043  0.0643  0.1230  0.2237  0.16
Friedman 1923b   84  0.2265  0.0042  0.0640  0.1329  0.2535  0.18
Friedman 1930   64  0.4318  0.0129  0.1027  0.3912  0.5223  0.45
Garcia 2007   78  0.3055  0.0064  0.0471  0.0434  0.1947  0.09
Garcia 2007b   86  0.2078  0.0070  0.0374  0.0341  0.1253  0.06
Gierzod 1998   36  0.5375  0.0036  0.0833  0.2942  0.1036  0.17
Gornostaeva 1994   43  0.5170  0.0068  0.0554  0.0564  0.0474  0.04
Groot 1988   22  0.5786  0.0055  0.0555  0.0573  0.0376  0.04
Harasiewicz 1955   57  0.476  0.069  0.1211  0.4933  0.2334  0.34
Hatto 1993   58  0.4715  0.0118  0.1226  0.408  0.5320  0.46
Hatto 1997   37  0.5310  0.0310  0.1216  0.457  0.5213  0.48
Horowitz 1949   47  0.517  0.0534  0.0742  0.1232  0.1939  0.15
Indjic 1988   53  0.4939  0.0017  0.1025  0.417  0.5315  0.47
Kapell 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kissin 1993   62  0.4445  0.0071  0.0380  0.0361  0.0481  0.03
Kushner 1989   33  0.5487  0.0056  0.0468  0.0461  0.0464  0.04
Luisada 1991   48  0.5034  0.0040  0.0641  0.1245  0.0745  0.09
Lushtak 2004   25  0.5632  0.0020  0.1115  0.4616  0.4816  0.47
Malcuzynski 1961   14  0.6263  0.0039  0.0639  0.1346  0.0646  0.09
Magaloff 1978   46  0.5149  0.0067  0.0457  0.0463  0.0378  0.03
Magin 1975   74  0.3724  0.0169  0.0373  0.0356  0.0479  0.03
Michalowski 1933   51  0.4956  0.0011  0.1018  0.455  0.4718  0.46
Milkina 1970   49  0.5079  0.0074  0.0383  0.0360  0.0480  0.03
Mohovich 1999   34  0.5471  0.0052  0.0463  0.0464  0.0473  0.04
Moravec 1969   12  0.6359  0.0032  0.0728  0.3717  0.3827  0.37
Morozova 2008   63  0.4443  0.0045  0.0549  0.0566  0.0470  0.04
Neighaus 1950   35  0.5438  0.0047  0.0945  0.0958  0.0550  0.07
Niedzielski 1931   42  0.5219  0.0149  0.0551  0.0513  0.3940  0.14
Ohlsson 1999   10  0.6429  0.0026  0.1117  0.4523  0.2732  0.35
Osinska 1989   27  0.5668  0.0044  0.0644  0.1136  0.1442  0.12
Pachmann 1927   77  0.3413  0.0279  0.0376  0.0350  0.0568  0.04
Paderewski 1930   13  0.6220  0.0130  0.1022  0.431  0.5512  0.49
Perlemuter 1992   70  0.4066  0.0059  0.0550  0.0566  0.0457  0.04
Pierdomenico 2008   65  0.4383  0.0065  0.0472  0.0454  0.0561  0.04
Poblocka 1999   1  0.711  0.191  0.181  0.571  0.661  0.61
Rabcewiczowa 1932   32  0.5484  0.0035  0.0630  0.3218  0.4626  0.38
Rachmaninoff 1923   56  0.4731  0.0041  0.0638  0.1544  0.0943  0.12
Rangell 2001   41  0.5217  0.0161  0.0462  0.0454  0.0475  0.04
Richter 1976   29  0.5512  0.0214  0.1032  0.309  0.4131  0.35
Rosen 1989   55  0.4861  0.0063  0.0548  0.0550  0.0472  0.04
Rosenthal 1930   61  0.4558  0.0066  0.0461  0.0447  0.0571  0.04
Rosenthal 1931   82  0.2482  0.0086  0.0285  0.0265  0.0387  0.02
Rosenthal 1931b   83  0.2385  0.0085  0.0289  0.0271  0.0389  0.02
Rosenthal 1931c   67  0.4188  0.0075  0.0379  0.0361  0.0485  0.03
Rosenthal 1931d   80  0.2889  0.0084  0.0284  0.0271  0.0388  0.02
Rossi 2007   87  0.1190  0.0087  0.0286  0.0267  0.0386  0.02
Rubinstein 1939   81  0.2814  0.0183  0.0382  0.0347  0.0562  0.04
Rubinstein 1952   68  0.418  0.0482  0.0464  0.0468  0.0477  0.04
Rubinstein 1966   54  0.4851  0.0073  0.0381  0.0355  0.0669  0.04
Schilhawsky 1960   11  0.6436  0.005  0.127  0.531  0.652  0.59
Shebanova 2002   45  0.5150  0.0050  0.0458  0.0455  0.0654  0.05
Smith 1975   20  0.5940  0.0024  0.0919  0.4521  0.3425  0.39
Sokolov 2002   3  0.685  0.088  0.133  0.535  0.509  0.51
Sztompka 1959   6  0.664  0.093  0.126  0.534  0.517  0.52
Tomsic 1995   31  0.5547  0.0054  0.0552  0.0569  0.0467  0.04
Uninsky 1932   39  0.5221  0.0119  0.1029  0.3616  0.3928  0.37
Uninsky 1971   16  0.613  0.092  0.128  0.5212  0.4911  0.50
Wasowski 1980   28  0.5626  0.0033  0.0836  0.2711  0.4233  0.34
Zak 1937   50  0.5076  0.0057  0.0470  0.0460  0.0565  0.04
Zak 1951   52  0.4967  0.0053  0.0553  0.0564  0.0466  0.04
Random 1   90  -0.1580  0.0090  0.0190  0.0190  0.0190  0.01
Random 2   89  -0.0146  0.0089  0.0288  0.0237  0.1355  0.05
Random 3   88  0.0252  0.0088  0.0287  0.0235  0.2052  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).