Ashkenazy 1981

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   42  0.6072  0.0035  0.0536  0.1941  0.1741  0.18
Anderszewski 2003   14  0.7012  0.0214  0.0914  0.464  0.5211  0.49
Ashkenazy 1981   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bacha 2000   31  0.6364  0.0050  0.0552  0.0512  0.4246  0.14
Badura 1965   43  0.6038  0.0039  0.0535  0.2011  0.4430  0.30
Barbosa 1983   71  0.4961  0.0061  0.0374  0.0350  0.0675  0.04
Biret 1990   20  0.6879  0.0028  0.1025  0.3511  0.4124  0.38
Blet 2003   60  0.5569  0.0060  0.0369  0.0352  0.0577  0.04
Block 1995   75  0.4817  0.0168  0.0464  0.0432  0.2059  0.09
Blumental 1952   28  0.6430  0.0041  0.0641  0.1211  0.3339  0.20
Boshniakovich 1969   35  0.6255  0.0045  0.0457  0.0431  0.2354  0.10
Brailowsky 1960   53  0.5874  0.0067  0.0461  0.0441  0.1762  0.08
Bunin 1987   48  0.5883  0.0051  0.0462  0.0421  0.3851  0.12
Bunin 1987b   52  0.5889  0.0052  0.0645  0.0619  0.4043  0.15
Chiu 1999   36  0.6248  0.0033  0.0639  0.1811  0.4831  0.29
Cohen 1997   72  0.4920  0.0180  0.0460  0.0423  0.2455  0.10
Cortot 1951   30  0.6327  0.0126  0.0926  0.3111  0.4625  0.38
Csalog 1996   86  0.3586  0.0078  0.0370  0.0369  0.0487  0.03
Czerny 1949   50  0.5847  0.0030  0.0633  0.2230  0.2834  0.25
Czerny 1990   26  0.6434  0.0031  0.0532  0.2234  0.1840  0.20
Duchoud 2007   7  0.7254  0.0011  0.096  0.512  0.663  0.58
Ezaki 2006   2  0.7416  0.0115  0.0720  0.4012  0.4120  0.40
Falvay 1989   67  0.5011  0.0269  0.0376  0.0356  0.0671  0.04
Farrell 1958   34  0.6260  0.0066  0.0366  0.0355  0.0572  0.04
Ferenczy 1958   64  0.5229  0.0142  0.0542  0.1131  0.2045  0.15
Fliere 1977   12  0.7045  0.0021  0.1111  0.4822  0.3618  0.42
Fou 1978   21  0.662  0.095  0.0834  0.2131  0.2436  0.22
Francois 1956   73  0.4931  0.0058  0.0456  0.0446  0.0584  0.04
Friedman 1923   74  0.4953  0.0074  0.0372  0.0319  0.3657  0.10
Friedman 1923b   70  0.4957  0.0073  0.0383  0.0319  0.3656  0.10
Friedman 1930   55  0.5777  0.0047  0.0546  0.0515  0.4247  0.14
Garcia 2007   49  0.5887  0.0046  0.0551  0.0518  0.3748  0.14
Garcia 2007b   69  0.5090  0.0075  0.0367  0.0335  0.1366  0.06
Gierzod 1998   9  0.7237  0.0012  0.117  0.518  0.527  0.51
Gornostaeva 1994   61  0.5567  0.0063  0.0375  0.0346  0.0580  0.04
Groot 1988   58  0.5676  0.0057  0.0553  0.0567  0.0482  0.04
Harasiewicz 1955   27  0.6415  0.0117  0.0813  0.4612  0.4416  0.45
Hatto 1993   6  0.7319  0.019  0.084  0.546  0.614  0.57
Hatto 1997   4  0.7336  0.0010  0.115  0.523  0.586  0.55
Horowitz 1949   37  0.6149  0.0054  0.0554  0.0514  0.4844  0.15
Indjic 1988   5  0.7314  0.028  0.083  0.544  0.632  0.58
Kapell 1951   29  0.637  0.0313  0.0817  0.4414  0.4019  0.42
Kissin 1993   23  0.6523  0.0132  0.0730  0.2627  0.2433  0.25
Kushner 1989   18  0.6918  0.0116  0.0715  0.457  0.5410  0.49
Luisada 1991   3  0.7328  0.0118  0.099  0.485  0.518  0.49
Lushtak 2004   10  0.7263  0.0022  0.1316  0.456  0.4515  0.45
Malcuzynski 1961   59  0.5533  0.0059  0.0555  0.0541  0.1163  0.07
Magaloff 1978   44  0.5926  0.0156  0.0465  0.0451  0.0667  0.05
Magin 1975   8  0.726  0.052  0.112  0.552  0.585  0.56
Michalowski 1933   40  0.6135  0.0025  0.1122  0.383  0.5514  0.46
Milkina 1970   41  0.6146  0.0055  0.0548  0.0549  0.0668  0.05
Mohovich 1999   33  0.6366  0.0049  0.0459  0.0458  0.0579  0.04
Moravec 1969   77  0.4839  0.0072  0.0368  0.0335  0.2461  0.08
Morozova 2008   19  0.698  0.0323  0.1123  0.367  0.4222  0.39
Neighaus 1950   16  0.695  0.056  0.108  0.5111  0.4313  0.47
Niedzielski 1931   79  0.4522  0.0143  0.0543  0.1027  0.2842  0.17
Ohlsson 1999   1  0.771  0.311  0.311  0.594  0.571  0.58
Osinska 1989   38  0.6180  0.0044  0.0444  0.0840  0.1452  0.11
Pachmann 1927   85  0.3985  0.0085  0.0386  0.0360  0.0574  0.04
Paderewski 1930   46  0.5978  0.0065  0.0377  0.0331  0.1864  0.07
Perlemuter 1992   47  0.5973  0.0053  0.0458  0.0462  0.0469  0.04
Pierdomenico 2008   62  0.5451  0.0062  0.0382  0.0326  0.3653  0.10
Poblocka 1999   32  0.634  0.053  0.0919  0.4216  0.3621  0.39
Rabcewiczowa 1932   63  0.5470  0.0071  0.0373  0.0364  0.0486  0.03
Rachmaninoff 1923   54  0.5813  0.0236  0.0638  0.1821  0.3135  0.24
Rangell 2001   68  0.5059  0.0064  0.0380  0.0325  0.2960  0.09
Richter 1976   66  0.5232  0.0048  0.0550  0.0522  0.3150  0.12
Rosen 1989   25  0.6524  0.0134  0.0737  0.1931  0.2438  0.21
Rosenthal 1930   76  0.4868  0.0076  0.0549  0.0538  0.1758  0.09
Rosenthal 1931   83  0.4150  0.0082  0.0387  0.0345  0.0576  0.04
Rosenthal 1931b   81  0.4156  0.0083  0.0378  0.0357  0.0488  0.03
Rosenthal 1931c   78  0.4765  0.0079  0.0463  0.0451  0.0483  0.04
Rosenthal 1931d   82  0.4184  0.0084  0.0384  0.0357  0.0581  0.04
Rossi 2007   87  0.3462  0.0087  0.0371  0.0350  0.0670  0.04
Rubinstein 1939   84  0.4121  0.0186  0.0288  0.0274  0.0485  0.03
Rubinstein 1952   80  0.4242  0.0081  0.0379  0.0365  0.0489  0.03
Rubinstein 1966   57  0.5641  0.0070  0.0381  0.0355  0.0578  0.04
Schilhawsky 1960   39  0.6140  0.0029  0.0728  0.2923  0.4028  0.34
Shebanova 2002   13  0.7043  0.0020  0.1012  0.4711  0.5112  0.49
Smith 1975   15  0.703  0.074  0.0810  0.489  0.519  0.49
Sokolov 2002   17  0.6925  0.0127  0.0727  0.3013  0.4426  0.36
Sztompka 1959   11  0.7110  0.0224  0.1318  0.4415  0.4417  0.44
Tomsic 1995   65  0.5281  0.0077  0.0547  0.0569  0.0473  0.04
Uninsky 1932   51  0.5852  0.0038  0.0729  0.2621  0.4129  0.33
Uninsky 1971   56  0.5771  0.0037  0.0531  0.2529  0.3432  0.29
Wasowski 1980   45  0.5944  0.0040  0.0540  0.1823  0.2437  0.21
Zak 1937   22  0.6658  0.0019  0.0924  0.3619  0.4023  0.38
Zak 1951   24  0.659  0.037  0.0921  0.4021  0.3327  0.36
Random 1   90  -0.1582  0.0090  0.0190  0.0147  0.0590  0.02
Random 2   89  -0.0288  0.0089  0.0289  0.0225  0.2065  0.06
Random 3   88  0.1475  0.0088  0.0385  0.032  0.6549  0.14

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).