Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   5  0.6628  0.006  0.148  0.624  0.597  0.60
Anderszewski 2003   34  0.5216  0.0124  0.0830  0.2826  0.3030  0.29
Ashkenazy 1981   48  0.4881  0.0048  0.0655  0.0672  0.0465  0.05
Bacha 2000   77  0.3868  0.0074  0.0380  0.0346  0.0762  0.05
Badura 1965   40  0.5278  0.0039  0.0637  0.2121  0.3831  0.28
Barbosa 1983   64  0.4575  0.0068  0.0472  0.0468  0.0476  0.04
Biret 1990   28  0.5629  0.0031  0.0729  0.2930  0.2534  0.27
Blet 2003   57  0.4652  0.0070  0.0558  0.0552  0.0564  0.05
Block 1995   76  0.3873  0.0080  0.0381  0.0384  0.0289  0.02
Blumental 1952   49  0.4823  0.0027  0.0833  0.268  0.3928  0.32
Boshniakovich 1969   31  0.5369  0.0052  0.0846  0.0847  0.0757  0.07
Brailowsky 1960   72  0.4040  0.0082  0.0382  0.0377  0.0384  0.03
Bunin 1987   29  0.5553  0.0025  0.0725  0.379  0.5123  0.43
Bunin 1987b   30  0.5430  0.0026  0.0826  0.369  0.5121  0.43
Chiu 1999   75  0.3860  0.0077  0.0386  0.0352  0.0569  0.04
Cohen 1997   87  0.2454  0.0087  0.0467  0.0475  0.0479  0.04
Cortot 1951   19  0.586  0.0314  0.1118  0.461  0.758  0.59
Csalog 1996   84  0.3286  0.0085  0.0287  0.0283  0.0388  0.02
Czerny 1949   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1990   1  0.741  0.481  0.471  0.841  0.811  0.82
Duchoud 2007   65  0.4461  0.0064  0.0476  0.0452  0.0578  0.04
Ezaki 2006   3  0.677  0.023  0.145  0.665  0.625  0.64
Falvay 1989   51  0.4734  0.0067  0.0466  0.0449  0.0663  0.05
Farrell 1958   33  0.5213  0.0137  0.0734  0.256  0.5026  0.35
Ferenczy 1958   41  0.5135  0.0033  0.0640  0.1519  0.3837  0.24
Fliere 1977   24  0.5687  0.0038  0.0535  0.2358  0.0546  0.11
Fou 1978   61  0.4562  0.0059  0.0556  0.0569  0.0472  0.04
Francois 1956   7  0.6522  0.0011  0.166  0.661  0.744  0.70
Friedman 1923   78  0.3788  0.0053  0.0945  0.0914  0.4639  0.20
Friedman 1923b   79  0.3789  0.0050  0.0747  0.0716  0.4541  0.18
Friedman 1930   46  0.4833  0.0045  0.0749  0.0714  0.4740  0.18
Garcia 2007   86  0.3164  0.0076  0.0378  0.0362  0.0486  0.03
Garcia 2007b   85  0.3165  0.0075  0.0383  0.0352  0.0487  0.03
Gierzod 1998   10  0.645  0.047  0.194  0.682  0.596  0.63
Gornostaeva 1994   8  0.649  0.0216  0.1212  0.5610  0.5712  0.56
Groot 1988   53  0.4738  0.0058  0.0461  0.0463  0.0482  0.04
Harasiewicz 1955   11  0.6218  0.019  0.247  0.648  0.529  0.58
Hatto 1993   69  0.4276  0.0049  0.0750  0.0765  0.0561  0.06
Hatto 1997   44  0.4917  0.0129  0.1022  0.4324  0.2827  0.35
Horowitz 1949   52  0.4784  0.0063  0.0377  0.0354  0.0574  0.04
Indjic 1988   67  0.4346  0.0047  0.0652  0.0656  0.0659  0.06
Kapell 1951   13  0.613  0.084  0.1513  0.556  0.5115  0.53
Kissin 1993   32  0.5379  0.0044  0.0644  0.1236  0.1843  0.15
Kushner 1989   18  0.5856  0.0030  0.0932  0.2833  0.2435  0.26
Luisada 1991   60  0.4685  0.0071  0.0463  0.0462  0.0567  0.04
Lushtak 2004   45  0.4982  0.0043  0.0641  0.1352  0.0556  0.08
Malcuzynski 1961   9  0.642  0.132  0.203  0.741  0.752  0.74
Magaloff 1978   43  0.5024  0.0057  0.0462  0.0464  0.0470  0.04
Magin 1975   56  0.4650  0.0035  0.0643  0.1338  0.1544  0.14
Michalowski 1933   62  0.4536  0.0032  0.0738  0.1712  0.4432  0.27
Milkina 1970   25  0.5610  0.0219  0.1117  0.4727  0.3824  0.42
Mohovich 1999   38  0.5249  0.0042  0.0639  0.1649  0.0747  0.11
Moravec 1969   22  0.578  0.0220  0.1324  0.413  0.6617  0.52
Morozova 2008   27  0.5644  0.0021  0.1219  0.4513  0.4222  0.43
Neighaus 1950   14  0.6111  0.0112  0.159  0.6013  0.4814  0.54
Niedzielski 1931   55  0.4667  0.0055  0.0459  0.0446  0.0571  0.04
Ohlsson 1999   26  0.5643  0.0036  0.0728  0.3035  0.2336  0.26
Osinska 1989   2  0.674  0.0510  0.232  0.744  0.683  0.71
Pachmann 1927   82  0.3377  0.0086  0.0384  0.0379  0.0385  0.03
Paderewski 1930   63  0.4583  0.0069  0.0474  0.0453  0.0575  0.04
Perlemuter 1992   59  0.4666  0.0072  0.0475  0.0468  0.0468  0.04
Pierdomenico 2008   74  0.3939  0.0078  0.0473  0.0446  0.0858  0.06
Poblocka 1999   23  0.5690  0.0028  0.0927  0.3531  0.2729  0.31
Rabcewiczowa 1932   16  0.6012  0.0122  0.1116  0.496  0.5218  0.50
Rachmaninoff 1923   20  0.5771  0.0018  0.1121  0.457  0.5219  0.48
Rangell 2001   70  0.4020  0.0065  0.0470  0.0451  0.0580  0.04
Richter 1976   54  0.4763  0.0060  0.0654  0.0642  0.1648  0.10
Rosen 1989   42  0.5045  0.0046  0.0748  0.0743  0.1153  0.09
Rosenthal 1930   39  0.5221  0.0041  0.0642  0.1312  0.5833  0.27
Rosenthal 1931   80  0.3572  0.0081  0.0465  0.0440  0.1951  0.09
Rosenthal 1931b   83  0.3255  0.0083  0.0385  0.0343  0.1066  0.05
Rosenthal 1931c   58  0.4637  0.0054  0.0651  0.0618  0.4742  0.17
Rosenthal 1931d   81  0.3442  0.0084  0.0468  0.0452  0.0581  0.04
Rossi 2007   68  0.4247  0.0079  0.0379  0.0329  0.2154  0.08
Rubinstein 1939   71  0.4015  0.0166  0.0469  0.0438  0.1655  0.08
Rubinstein 1952   73  0.4014  0.0162  0.0471  0.0465  0.0583  0.04
Rubinstein 1966   47  0.4827  0.0056  0.0464  0.0449  0.0860  0.06
Schilhawsky 1960   15  0.6131  0.0015  0.1520  0.4515  0.5120  0.48
Shebanova 2002   50  0.4741  0.0061  0.0557  0.0579  0.0477  0.04
Smith 1975   12  0.6126  0.0017  0.1314  0.556  0.5313  0.54
Sokolov 2002   21  0.5759  0.0023  0.1123  0.4118  0.4225  0.41
Sztompka 1959   4  0.6658  0.005  0.1210  0.605  0.5510  0.57
Tomsic 1995   66  0.4457  0.0073  0.0460  0.0478  0.0473  0.04
Uninsky 1932   17  0.6025  0.0013  0.1515  0.506  0.5716  0.53
Uninsky 1971   6  0.6519  0.018  0.2111  0.584  0.5511  0.56
Wasowski 1980   36  0.5232  0.0051  0.0653  0.0631  0.2245  0.11
Zak 1937   37  0.5274  0.0040  0.0736  0.2165  0.0450  0.09
Zak 1951   35  0.5251  0.0034  0.0631  0.2844  0.1438  0.20
Random 1   90  -0.0470  0.0090  0.0190  0.0147  0.0490  0.02
Random 2   88  0.0180  0.0088  0.0288  0.028  0.4452  0.09
Random 3   89  -0.0248  0.0089  0.0289  0.026  0.4649  0.10

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).