Ashkenazy 1981

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   69  0.4360  0.0066  0.0465  0.0455  0.0583  0.04
Anderszewski 2003   22  0.5980  0.0018  0.1118  0.446  0.5616  0.50
Ashkenazy 1981   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bacha 2000   45  0.5361  0.0064  0.0471  0.047  0.5744  0.15
Badura 1965   58  0.4818  0.0047  0.0458  0.0411  0.4649  0.14
Barbosa 1983   74  0.3973  0.0062  0.0379  0.0342  0.1572  0.07
Biret 1990   48  0.5264  0.0054  0.0550  0.0529  0.3653  0.13
Blet 2003   35  0.5551  0.0040  0.0640  0.1418  0.4140  0.24
Block 1995   57  0.4823  0.0061  0.0557  0.0525  0.2959  0.12
Blumental 1952   34  0.5528  0.0026  0.0834  0.223  0.6027  0.36
Boshniakovich 1969   41  0.5340  0.0059  0.0469  0.0428  0.3263  0.11
Brailowsky 1960   67  0.4438  0.0081  0.0381  0.0360  0.0489  0.03
Bunin 1987   32  0.5626  0.0052  0.0646  0.0631  0.2852  0.13
Bunin 1987b   31  0.5652  0.0051  0.0551  0.0531  0.2856  0.12
Chiu 1999   44  0.5331  0.0031  0.0728  0.3116  0.5124  0.40
Cohen 1997   68  0.449  0.0174  0.0378  0.0324  0.3365  0.10
Cortot 1951   59  0.4774  0.0055  0.0554  0.0522  0.3454  0.13
Csalog 1996   79  0.3775  0.0076  0.0376  0.0330  0.2968  0.09
Czerny 1949   73  0.4169  0.0070  0.0472  0.0454  0.0582  0.04
Czerny 1990   12  0.6414  0.0113  0.1011  0.502  0.6611  0.57
Duchoud 2007   21  0.6076  0.0019  0.1119  0.425  0.5517  0.48
Ezaki 2006   28  0.5743  0.0038  0.0643  0.1140  0.1161  0.11
Falvay 1989   37  0.5447  0.0033  0.0732  0.2522  0.2936  0.27
Farrell 1958   66  0.4432  0.0082  0.0468  0.0461  0.0480  0.04
Ferenczy 1958   75  0.3962  0.0056  0.0552  0.0529  0.2757  0.12
Fliere 1977   9  0.6566  0.0020  0.1015  0.4610  0.5813  0.52
Fou 1978   26  0.5713  0.0115  0.1126  0.3424  0.4026  0.37
Francois 1956   76  0.3981  0.0063  0.0555  0.0563  0.0488  0.04
Friedman 1923   85  0.3384  0.0078  0.0385  0.0322  0.3367  0.10
Friedman 1923b   84  0.3334  0.0077  0.0383  0.0319  0.3666  0.10
Friedman 1930   63  0.4637  0.0044  0.0641  0.1311  0.5238  0.26
Garcia 2007   82  0.3667  0.0079  0.0382  0.0313  0.4858  0.12
Garcia 2007b   77  0.3933  0.0080  0.0473  0.044  0.5946  0.15
Gierzod 1998   13  0.6256  0.0016  0.1113  0.483  0.6212  0.55
Gornostaeva 1994   64  0.4677  0.0067  0.0474  0.0455  0.0485  0.04
Groot 1988   43  0.5339  0.0043  0.0442  0.1257  0.0474  0.07
Harasiewicz 1955   46  0.5335  0.0022  0.1020  0.4011  0.4025  0.40
Hatto 1993   7  0.666  0.035  0.172  0.673  0.822  0.74
Hatto 1997   16  0.6168  0.0010  0.139  0.544  0.6410  0.59
Horowitz 1949   47  0.5211  0.0145  0.0545  0.0919  0.3542  0.18
Indjic 1988   6  0.663  0.054  0.153  0.663  0.813  0.73
Kapell 1951   18  0.6119  0.0021  0.0914  0.4611  0.4920  0.47
Kissin 1993   11  0.642  0.122  0.168  0.566  0.649  0.60
Kushner 1989   4  0.695  0.043  0.165  0.621  0.824  0.71
Luisada 1991   5  0.6821  0.008  0.157  0.582  0.736  0.65
Lushtak 2004   17  0.6150  0.0023  0.1123  0.369  0.5422  0.44
Malcuzynski 1961   10  0.6512  0.0114  0.0912  0.506  0.5315  0.51
Magaloff 1978   23  0.5925  0.0027  0.0727  0.3128  0.2534  0.28
Magin 1975   8  0.664  0.049  0.1110  0.531  0.727  0.62
Michalowski 1933   29  0.5610  0.0112  0.1016  0.462  0.5814  0.52
Milkina 1970   49  0.5165  0.0058  0.0467  0.0431  0.2564  0.10
Mohovich 1999   56  0.4970  0.0065  0.0470  0.0464  0.0484  0.04
Moravec 1969   36  0.5524  0.0017  0.1222  0.364  0.6218  0.47
Morozova 2008   27  0.5754  0.0029  0.0830  0.2714  0.3730  0.32
Neighaus 1950   20  0.6041  0.0032  0.0724  0.3530  0.2831  0.31
Niedzielski 1931   71  0.4230  0.0049  0.0547  0.059  0.4345  0.15
Ohlsson 1999   3  0.7027  0.007  0.206  0.612  0.638  0.62
Osinska 1989   65  0.4585  0.0071  0.0466  0.0461  0.0578  0.04
Pachmann 1927   86  0.3258  0.0075  0.0380  0.0349  0.0681  0.04
Paderewski 1930   24  0.5922  0.0037  0.0735  0.207  0.5328  0.33
Perlemuter 1992   52  0.5042  0.0048  0.0553  0.0526  0.3350  0.13
Pierdomenico 2008   61  0.4782  0.0057  0.0462  0.0412  0.4351  0.13
Poblocka 1999   14  0.6257  0.0011  0.1017  0.458  0.5019  0.47
Rabcewiczowa 1932   78  0.3753  0.0083  0.0377  0.0356  0.0579  0.04
Rachmaninoff 1923   70  0.4220  0.0046  0.0556  0.0525  0.3055  0.12
Rangell 2001   53  0.5071  0.0060  0.0460  0.0439  0.1871  0.08
Richter 1976   42  0.5315  0.0153  0.0549  0.0514  0.3948  0.14
Rosen 1989   39  0.5479  0.0042  0.0444  0.1025  0.3343  0.18
Rosenthal 1930   62  0.4646  0.0073  0.0459  0.0433  0.3162  0.11
Rosenthal 1931   83  0.3483  0.0086  0.0463  0.0443  0.1273  0.07
Rosenthal 1931b   81  0.3655  0.0085  0.0387  0.0334  0.1875  0.07
Rosenthal 1931c   55  0.4986  0.0072  0.0464  0.0422  0.3660  0.12
Rosenthal 1931d   80  0.3678  0.0084  0.0289  0.0241  0.1086  0.04
Rossi 2007   88  0.1587  0.0088  0.0386  0.0374  0.0390  0.03
Rubinstein 1939   87  0.2717  0.0087  0.0384  0.0342  0.1176  0.06
Rubinstein 1952   72  0.4136  0.0068  0.0375  0.0361  0.0587  0.04
Rubinstein 1966   60  0.4759  0.0069  0.0461  0.0438  0.2069  0.09
Schilhawsky 1960   40  0.5445  0.0035  0.0638  0.1714  0.4735  0.28
Shebanova 2002   2  0.727  0.026  0.164  0.623  0.715  0.66
Smith 1975   30  0.5688  0.0028  0.0629  0.2724  0.3433  0.30
Sokolov 2002   19  0.6049  0.0036  0.0633  0.2322  0.3832  0.30
Sztompka 1959   15  0.628  0.0224  0.1025  0.359  0.4923  0.41
Tomsic 1995   25  0.5863  0.0039  0.0537  0.1920  0.3039  0.24
Uninsky 1932   33  0.5616  0.0025  0.1121  0.388  0.5021  0.44
Uninsky 1971   38  0.5429  0.0030  0.0731  0.2626  0.4129  0.33
Wasowski 1980   54  0.4948  0.0050  0.0548  0.0511  0.4247  0.14
Zak 1937   51  0.5072  0.0041  0.0539  0.1523  0.3641  0.23
Zak 1951   50  0.5044  0.0034  0.0936  0.1922  0.3837  0.27
Average   1  0.781  0.551  0.541  0.841  0.711  0.77
Random 1   90  0.0389  0.0090  0.0190  0.0125  0.2377  0.05
Random 2   91  0.0090  0.0091  0.0191  0.0166  0.0391  0.02
Random 3   89  0.1391  0.0089  0.0288  0.029  0.4170  0.09

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).