Ashkenazy 1981

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   43  0.6084  0.0036  0.0537  0.1942  0.1742  0.18
Anderszewski 2003   15  0.7015  0.0115  0.0915  0.465  0.5212  0.49
Ashkenazy 1981   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bacha 2000   32  0.6364  0.0051  0.0553  0.0513  0.4246  0.14
Badura 1965   44  0.6030  0.0040  0.0536  0.2012  0.4431  0.30
Barbosa 1983   72  0.4961  0.0062  0.0375  0.0351  0.0676  0.04
Biret 1990   21  0.6878  0.0029  0.1026  0.3512  0.4125  0.38
Blet 2003   61  0.5569  0.0061  0.0370  0.0353  0.0578  0.04
Block 1995   76  0.4813  0.0169  0.0465  0.0433  0.2060  0.09
Blumental 1952   29  0.6444  0.0042  0.0642  0.1212  0.3340  0.20
Boshniakovich 1969   36  0.6253  0.0046  0.0458  0.0432  0.2355  0.10
Brailowsky 1960   54  0.5874  0.0068  0.0462  0.0442  0.1763  0.08
Bunin 1987   49  0.5882  0.0052  0.0463  0.0422  0.3852  0.12
Bunin 1987b   53  0.5890  0.0053  0.0646  0.0620  0.4044  0.15
Chiu 1999   37  0.6246  0.0034  0.0640  0.1812  0.4832  0.29
Cohen 1997   73  0.4916  0.0181  0.0461  0.0424  0.2456  0.10
Cortot 1951   31  0.6323  0.0127  0.0927  0.3112  0.4626  0.38
Csalog 1996   87  0.3586  0.0079  0.0371  0.0370  0.0487  0.03
Czerny 1949   51  0.5865  0.0031  0.0634  0.2231  0.2835  0.25
Czerny 1990   27  0.6433  0.0032  0.0533  0.2235  0.1841  0.20
Duchoud 2007   8  0.7258  0.0012  0.097  0.512  0.664  0.58
Ezaki 2006   3  0.7421  0.0116  0.0721  0.4013  0.4121  0.40
Falvay 1989   68  0.509  0.0270  0.0377  0.0357  0.0672  0.04
Farrell 1958   35  0.6257  0.0067  0.0367  0.0356  0.0573  0.04
Ferenczy 1958   65  0.5222  0.0143  0.0543  0.1132  0.2045  0.15
Fliere 1977   13  0.7043  0.0022  0.1112  0.4823  0.3619  0.42
Fou 1978   22  0.662  0.086  0.0835  0.2132  0.2437  0.22
Francois 1956   74  0.4939  0.0059  0.0457  0.0447  0.0585  0.04
Friedman 1923   75  0.4951  0.0075  0.0373  0.0320  0.3658  0.10
Friedman 1923b   71  0.4955  0.0074  0.0384  0.0320  0.3657  0.10
Friedman 1930   56  0.5777  0.0048  0.0547  0.0516  0.4248  0.14
Garcia 2007   50  0.5887  0.0047  0.0552  0.0519  0.3749  0.14
Garcia 2007b   70  0.5091  0.0076  0.0368  0.0336  0.1367  0.06
Gierzod 1998   10  0.7235  0.0013  0.118  0.519  0.528  0.51
Gornostaeva 1994   62  0.5570  0.0064  0.0376  0.0347  0.0581  0.04
Groot 1988   59  0.5676  0.0058  0.0554  0.0568  0.0483  0.04
Harasiewicz 1955   28  0.6429  0.0018  0.0814  0.4613  0.4417  0.45
Hatto 1993   7  0.7319  0.0110  0.085  0.547  0.615  0.57
Hatto 1997   5  0.7336  0.0011  0.106  0.524  0.587  0.55
Horowitz 1949   38  0.6147  0.0055  0.0455  0.0415  0.4847  0.14
Indjic 1988   6  0.7334  0.009  0.084  0.545  0.633  0.58
Kapell 1951   30  0.637  0.0314  0.0718  0.4415  0.4020  0.42
Kissin 1993   24  0.6520  0.0133  0.0731  0.2628  0.2434  0.25
Kushner 1989   19  0.6924  0.0017  0.0716  0.458  0.5411  0.49
Luisada 1991   4  0.7331  0.0019  0.0910  0.486  0.519  0.49
Lushtak 2004   11  0.7262  0.0023  0.1317  0.457  0.4516  0.45
Malcuzynski 1961   60  0.5528  0.0060  0.0456  0.0442  0.1164  0.07
Magaloff 1978   45  0.5942  0.0057  0.0466  0.0452  0.0668  0.05
Magin 1975   9  0.7212  0.013  0.113  0.553  0.586  0.56
Michalowski 1933   41  0.6127  0.0026  0.1123  0.383  0.5515  0.46
Milkina 1970   42  0.6145  0.0056  0.0549  0.0550  0.0669  0.05
Mohovich 1999   34  0.6367  0.0050  0.0460  0.0459  0.0580  0.04
Moravec 1969   78  0.4860  0.0073  0.0369  0.0336  0.2462  0.08
Morozova 2008   20  0.698  0.0224  0.1124  0.368  0.4223  0.39
Neighaus 1950   17  0.694  0.057  0.109  0.5112  0.4314  0.47
Niedzielski 1931   80  0.4518  0.0144  0.0544  0.1028  0.2843  0.17
Ohlsson 1999   2  0.775  0.042  0.302  0.595  0.572  0.58
Osinska 1989   39  0.6179  0.0045  0.0445  0.0841  0.1453  0.11
Pachmann 1927   86  0.3985  0.0086  0.0387  0.0361  0.0575  0.04
Paderewski 1930   47  0.5988  0.0066  0.0378  0.0332  0.1865  0.07
Perlemuter 1992   48  0.5973  0.0054  0.0459  0.0463  0.0470  0.04
Pierdomenico 2008   63  0.5450  0.0063  0.0383  0.0327  0.3654  0.10
Poblocka 1999   33  0.636  0.034  0.0920  0.4217  0.3622  0.39
Rabcewiczowa 1932   64  0.5471  0.0072  0.0374  0.0365  0.0486  0.03
Rachmaninoff 1923   55  0.5810  0.0137  0.0639  0.1822  0.3136  0.24
Rangell 2001   69  0.5059  0.0065  0.0381  0.0326  0.2961  0.09
Richter 1976   67  0.5226  0.0049  0.0551  0.0523  0.3151  0.12
Rosen 1989   26  0.6540  0.0035  0.0738  0.1932  0.2439  0.21
Rosenthal 1930   77  0.4868  0.0077  0.0550  0.0539  0.1759  0.09
Rosenthal 1931   84  0.4148  0.0083  0.0388  0.0346  0.0577  0.04
Rosenthal 1931b   82  0.4154  0.0084  0.0379  0.0358  0.0488  0.03
Rosenthal 1931c   79  0.4766  0.0080  0.0464  0.0452  0.0484  0.04
Rosenthal 1931d   83  0.4183  0.0085  0.0385  0.0358  0.0582  0.04
Rossi 2007   88  0.3463  0.0088  0.0372  0.0351  0.0671  0.04
Rubinstein 1939   85  0.4117  0.0187  0.0289  0.0275  0.0390  0.02
Rubinstein 1952   81  0.4238  0.0082  0.0380  0.0366  0.0489  0.03
Rubinstein 1966   58  0.5637  0.0071  0.0382  0.0356  0.0579  0.04
Schilhawsky 1960   40  0.6132  0.0030  0.0729  0.2924  0.4029  0.34
Shebanova 2002   14  0.7052  0.0021  0.0913  0.4712  0.5113  0.49
Smith 1975   16  0.703  0.075  0.0811  0.4810  0.5110  0.49
Sokolov 2002   18  0.6925  0.0028  0.0728  0.3014  0.4427  0.36
Sztompka 1959   12  0.7111  0.0125  0.1319  0.4416  0.4418  0.44
Tomsic 1995   66  0.5280  0.0078  0.0548  0.0570  0.0474  0.04
Uninsky 1932   52  0.5849  0.0039  0.0730  0.2622  0.4130  0.33
Uninsky 1971   57  0.5772  0.0038  0.0532  0.2530  0.3433  0.29
Wasowski 1980   46  0.5941  0.0041  0.0541  0.1824  0.2438  0.21
Zak 1937   23  0.6656  0.0020  0.0825  0.3620  0.4024  0.38
Zak 1951   25  0.6514  0.018  0.0922  0.4022  0.3328  0.36
Average   1  0.811  0.461  0.461  0.7510  0.511  0.62
Random 1   91  -0.1581  0.0091  0.0191  0.0147  0.0591  0.02
Random 2   90  -0.0289  0.0090  0.0290  0.0226  0.2066  0.06
Random 3   89  0.1475  0.0089  0.0386  0.032  0.6550  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).