Ashkenazy 1981

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   68  0.4364  0.0065  0.0464  0.0454  0.0582  0.04
Anderszewski 2003   21  0.5940  0.0017  0.1117  0.445  0.5615  0.50
Ashkenazy 1981   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bacha 2000   44  0.5360  0.0063  0.0470  0.046  0.5745  0.15
Badura 1965   57  0.4824  0.0046  0.0457  0.0410  0.4648  0.14
Barbosa 1983   73  0.3975  0.0061  0.0378  0.0341  0.1571  0.07
Biret 1990   47  0.5266  0.0053  0.0549  0.0528  0.3652  0.13
Blet 2003   34  0.5553  0.0039  0.0639  0.1417  0.4139  0.24
Block 1995   56  0.4827  0.0060  0.0556  0.0524  0.2958  0.12
Blumental 1952   33  0.5525  0.0025  0.0833  0.222  0.6026  0.36
Boshniakovich 1969   40  0.5345  0.0058  0.0468  0.0427  0.3262  0.11
Brailowsky 1960   66  0.4443  0.0080  0.0380  0.0359  0.0488  0.03
Bunin 1987   31  0.5629  0.0051  0.0645  0.0630  0.2851  0.13
Bunin 1987b   30  0.5655  0.0050  0.0550  0.0530  0.2855  0.12
Chiu 1999   43  0.5336  0.0030  0.0727  0.3115  0.5123  0.40
Cohen 1997   67  0.4412  0.0273  0.0377  0.0323  0.3364  0.10
Cortot 1951   58  0.4776  0.0054  0.0553  0.0521  0.3453  0.13
Csalog 1996   78  0.3777  0.0075  0.0375  0.0329  0.2967  0.09
Czerny 1949   72  0.4165  0.0069  0.0471  0.0453  0.0581  0.04
Czerny 1990   11  0.6418  0.0112  0.1110  0.501  0.6610  0.57
Duchoud 2007   20  0.6078  0.0018  0.1118  0.424  0.5516  0.48
Ezaki 2006   27  0.5748  0.0037  0.0642  0.1139  0.1160  0.11
Falvay 1989   36  0.5444  0.0032  0.0731  0.2521  0.2935  0.27
Farrell 1958   65  0.4437  0.0081  0.0467  0.0460  0.0479  0.04
Ferenczy 1958   74  0.3954  0.0055  0.0551  0.0528  0.2756  0.12
Fliere 1977   8  0.6558  0.0019  0.1014  0.469  0.5812  0.52
Fou 1978   25  0.5711  0.0214  0.1125  0.3423  0.4025  0.37
Francois 1956   75  0.3980  0.0062  0.0554  0.0562  0.0487  0.04
Friedman 1923   84  0.3383  0.0077  0.0384  0.0321  0.3366  0.10
Friedman 1923b   83  0.3339  0.0076  0.0382  0.0318  0.3665  0.10
Friedman 1930   62  0.4641  0.0043  0.0640  0.1310  0.5237  0.26
Garcia 2007   81  0.3669  0.0078  0.0381  0.0312  0.4857  0.12
Garcia 2007b   76  0.3938  0.0079  0.0472  0.044  0.5946  0.15
Gierzod 1998   12  0.6259  0.0015  0.1112  0.482  0.6211  0.55
Gornostaeva 1994   63  0.4671  0.0066  0.0473  0.0454  0.0484  0.04
Groot 1988   42  0.5335  0.0042  0.0441  0.1256  0.0473  0.07
Harasiewicz 1955   45  0.5321  0.0121  0.1119  0.4010  0.4024  0.40
Hatto 1993   6  0.667  0.054  0.171  0.673  0.821  0.74
Hatto 1997   15  0.6167  0.009  0.148  0.543  0.649  0.59
Horowitz 1949   46  0.5215  0.0144  0.0544  0.0918  0.3541  0.18
Indjic 1988   5  0.663  0.143  0.152  0.663  0.812  0.73
Kapell 1951   17  0.6120  0.0120  0.0913  0.4610  0.4919  0.47
Kissin 1993   10  0.641  0.171  0.177  0.565  0.648  0.60
Kushner 1989   3  0.692  0.162  0.164  0.621  0.823  0.71
Luisada 1991   4  0.688  0.047  0.156  0.581  0.735  0.65
Lushtak 2004   16  0.6150  0.0022  0.1122  0.368  0.5421  0.44
Malcuzynski 1961   9  0.6513  0.0113  0.0911  0.505  0.5314  0.51
Magaloff 1978   22  0.5916  0.0126  0.0726  0.3127  0.2533  0.28
Magin 1975   7  0.666  0.058  0.129  0.531  0.726  0.62
Michalowski 1933   28  0.5610  0.0211  0.1015  0.461  0.5813  0.52
Milkina 1970   48  0.5168  0.0057  0.0466  0.0430  0.2563  0.10
Mohovich 1999   55  0.4972  0.0064  0.0469  0.0463  0.0483  0.04
Moravec 1969   35  0.5528  0.0016  0.1221  0.363  0.6217  0.47
Morozova 2008   26  0.5731  0.0028  0.0829  0.2713  0.3729  0.32
Neighaus 1950   19  0.6030  0.0031  0.0723  0.3529  0.2830  0.31
Niedzielski 1931   70  0.4234  0.0048  0.0646  0.068  0.4344  0.16
Ohlsson 1999   2  0.705  0.066  0.205  0.611  0.637  0.62
Osinska 1989   64  0.4584  0.0070  0.0465  0.0460  0.0577  0.04
Pachmann 1927   85  0.3261  0.0074  0.0379  0.0348  0.0680  0.04
Paderewski 1930   23  0.5926  0.0036  0.0734  0.206  0.5327  0.33
Perlemuter 1992   51  0.5046  0.0047  0.0552  0.0525  0.3349  0.13
Pierdomenico 2008   60  0.4781  0.0056  0.0461  0.0411  0.4350  0.13
Poblocka 1999   13  0.6214  0.0110  0.1116  0.457  0.5018  0.47
Rabcewiczowa 1932   77  0.3756  0.0082  0.0376  0.0355  0.0578  0.04
Rachmaninoff 1923   69  0.4222  0.0045  0.0555  0.0524  0.3054  0.12
Rangell 2001   52  0.5073  0.0059  0.0459  0.0438  0.1870  0.08
Richter 1976   41  0.5319  0.0152  0.0548  0.0513  0.3947  0.14
Rosen 1989   38  0.5474  0.0041  0.0443  0.1024  0.3342  0.18
Rosenthal 1930   61  0.4647  0.0072  0.0458  0.0432  0.3161  0.11
Rosenthal 1931   82  0.3482  0.0085  0.0462  0.0442  0.1272  0.07
Rosenthal 1931b   80  0.3657  0.0084  0.0386  0.0333  0.1874  0.07
Rosenthal 1931c   54  0.4985  0.0071  0.0463  0.0421  0.3659  0.12
Rosenthal 1931d   79  0.3679  0.0083  0.0288  0.0240  0.1085  0.04
Rossi 2007   87  0.1586  0.0087  0.0385  0.0373  0.0389  0.03
Rubinstein 1939   86  0.2723  0.0086  0.0383  0.0341  0.1175  0.06
Rubinstein 1952   71  0.4133  0.0067  0.0474  0.0460  0.0586  0.04
Rubinstein 1966   59  0.4762  0.0068  0.0460  0.0437  0.2068  0.09
Schilhawsky 1960   39  0.5449  0.0034  0.0637  0.1713  0.4734  0.28
Shebanova 2002   1  0.724  0.095  0.163  0.622  0.714  0.66
Smith 1975   29  0.5687  0.0027  0.0728  0.2723  0.3432  0.30
Sokolov 2002   18  0.6051  0.0035  0.0632  0.2321  0.3831  0.30
Sztompka 1959   14  0.629  0.0323  0.1024  0.358  0.4922  0.41
Tomsic 1995   24  0.5863  0.0038  0.0536  0.1919  0.3038  0.24
Uninsky 1932   32  0.5617  0.0124  0.1120  0.387  0.5020  0.44
Uninsky 1971   37  0.5432  0.0029  0.0730  0.2625  0.4128  0.33
Wasowski 1980   53  0.4952  0.0049  0.0647  0.0610  0.4243  0.16
Zak 1937   50  0.5070  0.0040  0.0638  0.1522  0.3640  0.23
Zak 1951   49  0.5042  0.0033  0.0935  0.1921  0.3836  0.27
Random 1   89  0.0388  0.0089  0.0189  0.0125  0.2376  0.05
Random 2   90  0.0089  0.0090  0.0190  0.0166  0.0390  0.02
Random 3   88  0.1390  0.0088  0.0287  0.029  0.4169  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).