Kapell 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   23  0.7059  0.0031  0.0728  0.3433  0.1735  0.24
Anderszewski 2003   28  0.673  0.115  0.158  0.517  0.546  0.52
Ashkenazy 1981   31  0.6641  0.0021  0.0817  0.4314  0.3920  0.41
Bacha 2000   60  0.5247  0.0068  0.0462  0.0446  0.0651  0.05
Badura 1965   70  0.4382  0.0057  0.0553  0.0553  0.0464  0.04
Barbosa 1983   43  0.5854  0.0037  0.0839  0.1829  0.3134  0.24
Biret 1990   9  0.7569  0.0018  0.0820  0.429  0.4318  0.42
Blet 2003   14  0.7330  0.0124  0.0818  0.4316  0.3821  0.40
Block 1995   68  0.4583  0.0078  0.0280  0.0272  0.0384  0.02
Blumental 1952   76  0.3819  0.0120  0.0930  0.2911  0.3431  0.31
Boshniakovich 1969   71  0.4379  0.0081  0.0282  0.0282  0.0386  0.02
Brailowsky 1960   62  0.4927  0.0177  0.0374  0.0367  0.0468  0.03
Bunin 1987   18  0.7131  0.0026  0.1216  0.4412  0.4315  0.43
Bunin 1987b   17  0.7149  0.0027  0.1615  0.4412  0.4314  0.43
Chiu 1999   81  0.3463  0.0067  0.0464  0.0476  0.0370  0.03
Cohen 1997   80  0.359  0.0372  0.0366  0.0337  0.1450  0.06
Cortot 1951   8  0.7612  0.016  0.1110  0.503  0.537  0.51
Csalog 1996   57  0.5357  0.0071  0.0465  0.0441  0.1845  0.08
Czerny 1949   11  0.7438  0.009  0.165  0.536  0.544  0.53
Czerny 1990   6  0.7713  0.0112  0.186  0.5210  0.4111  0.46
Duchoud 2007   4  0.7855  0.0017  0.0914  0.4415  0.4413  0.44
Ezaki 2006   19  0.7132  0.0029  0.0824  0.3850  0.0639  0.15
Falvay 1989   40  0.5936  0.0052  0.0647  0.0649  0.0552  0.05
Farrell 1958   27  0.6748  0.0041  0.0642  0.1426  0.2137  0.17
Ferenczy 1958   1  0.852  0.142  0.324  0.551  0.652  0.60
Fliere 1977   26  0.6828  0.0143  0.0643  0.1167  0.0447  0.07
Fou 1978   79  0.3651  0.0085  0.0287  0.0277  0.0380  0.02
Francois 1956   12  0.7310  0.0225  0.0922  0.4015  0.3325  0.36
Friedman 1923   85  0.1752  0.0045  0.0550  0.0529  0.2542  0.11
Friedman 1923b   84  0.1861  0.0044  0.0544  0.0928  0.2738  0.16
Friedman 1930   69  0.4429  0.0134  0.0833  0.2713  0.4127  0.33
Garcia 2007   75  0.3850  0.0049  0.0461  0.0428  0.2543  0.10
Garcia 2007b   87  0.1676  0.0070  0.0372  0.0350  0.0566  0.04
Gierzod 1998   13  0.7342  0.0022  0.0919  0.424  0.4317  0.42
Gornostaeva 1994   39  0.6064  0.0062  0.0376  0.0371  0.0377  0.03
Groot 1988   32  0.6566  0.0054  0.0646  0.0664  0.0454  0.05
Harasiewicz 1955   65  0.477  0.0316  0.0927  0.3557  0.0441  0.12
Hatto 1993   67  0.4534  0.0033  0.0836  0.2210  0.4232  0.30
Hatto 1997   49  0.5524  0.0113  0.1025  0.3610  0.4522  0.40
Horowitz 1949   61  0.4914  0.0160  0.0460  0.0463  0.0459  0.04
Indjic 1988   64  0.4845  0.0032  0.0735  0.239  0.4429  0.32
Kapell 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kissin 1993   66  0.4625  0.0179  0.0378  0.0384  0.0281  0.02
Kushner 1989   35  0.6377  0.0056  0.0549  0.0571  0.0357  0.04
Luisada 1991   54  0.5439  0.0051  0.0548  0.0564  0.0455  0.04
Lushtak 2004   29  0.6615  0.0111  0.1411  0.4719  0.3519  0.41
Malcuzynski 1961   22  0.7043  0.0040  0.0641  0.1574  0.0348  0.07
Magaloff 1978   41  0.5958  0.0063  0.0373  0.0363  0.0371  0.03
Magin 1975   74  0.3818  0.0173  0.0370  0.0376  0.0279  0.02
Michalowski 1933   46  0.5611  0.028  0.149  0.517  0.468  0.48
Milkina 1970   44  0.5767  0.0074  0.0368  0.0368  0.0475  0.03
Mohovich 1999   30  0.6675  0.0042  0.0640  0.1650  0.0446  0.08
Moravec 1969   20  0.7053  0.0038  0.1131  0.2920  0.3528  0.32
Morozova 2008   63  0.4835  0.0050  0.0552  0.0565  0.0461  0.04
Neighaus 1950   34  0.6344  0.0039  0.0737  0.2058  0.0444  0.09
Niedzielski 1931   38  0.6037  0.0048  0.0455  0.049  0.3940  0.12
Ohlsson 1999   10  0.7433  0.0028  0.1023  0.4016  0.3224  0.36
Osinska 1989   24  0.6971  0.0035  0.0832  0.2730  0.2133  0.24
Pachmann 1927   78  0.3726  0.0180  0.0379  0.0346  0.0660  0.04
Paderewski 1930   16  0.7221  0.0130  0.1126  0.362  0.5016  0.42
Perlemuter 1992   58  0.5268  0.0047  0.0457  0.0466  0.0367  0.03
Pierdomenico 2008   59  0.5287  0.0064  0.0369  0.0368  0.0372  0.03
Poblocka 1999   2  0.841  0.231  0.221  0.581  0.641  0.61
Rabcewiczowa 1932   21  0.7072  0.0023  0.0821  0.419  0.4712  0.44
Rachmaninoff 1923   56  0.5365  0.0046  0.0454  0.0465  0.0456  0.04
Rangell 2001   47  0.5620  0.0169  0.0459  0.0467  0.0378  0.03
Richter 1976   37  0.626  0.0415  0.1034  0.2613  0.3630  0.31
Rosen 1989   48  0.5673  0.0065  0.0371  0.0383  0.0285  0.02
Rosenthal 1930   42  0.5962  0.0058  0.0458  0.0455  0.0463  0.04
Rosenthal 1931   77  0.3788  0.0083  0.0289  0.0274  0.0382  0.02
Rosenthal 1931b   82  0.3389  0.0084  0.0286  0.0275  0.0388  0.02
Rosenthal 1931c   45  0.5684  0.0066  0.0463  0.0453  0.0465  0.04
Rosenthal 1931d   73  0.3990  0.0086  0.0283  0.0278  0.0287  0.02
Rossi 2007   86  0.1780  0.0075  0.0375  0.0369  0.0369  0.03
Rubinstein 1939   83  0.308  0.0388  0.0284  0.0245  0.0673  0.03
Rubinstein 1952   72  0.4240  0.0087  0.0288  0.0273  0.0389  0.02
Rubinstein 1966   53  0.5470  0.0076  0.0281  0.0252  0.0576  0.03
Schilhawsky 1960   5  0.7823  0.013  0.162  0.561  0.593  0.57
Shebanova 2002   55  0.5478  0.0061  0.0367  0.0354  0.0562  0.04
Smith 1975   15  0.7322  0.0110  0.127  0.5214  0.2923  0.39
Sokolov 2002   7  0.775  0.0414  0.0813  0.4710  0.469  0.46
Sztompka 1959   3  0.794  0.064  0.203  0.559  0.505  0.52
Tomsic 1995   33  0.6474  0.0053  0.0645  0.0662  0.0453  0.05
Uninsky 1932   50  0.5517  0.0119  0.0829  0.3122  0.3726  0.34
Uninsky 1971   25  0.6816  0.017  0.1312  0.479  0.4610  0.46
Wasowski 1980   36  0.6346  0.0036  0.0738  0.1919  0.2536  0.22
Zak 1937   51  0.5581  0.0059  0.0456  0.0474  0.0374  0.03
Zak 1951   52  0.5456  0.0055  0.0551  0.0566  0.0458  0.04
Random 1   90  -0.2685  0.0090  0.0190  0.0189  0.0190  0.01
Random 2   89  -0.0986  0.0089  0.0285  0.0256  0.0383  0.02
Random 3   88  0.0860  0.0082  0.0377  0.0333  0.1549  0.07

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).