Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   54  0.3171  0.0066  0.0554  0.0560  0.0465  0.04
Anderszewski 2003   36  0.3510  0.0319  0.0735  0.2480  0.0342  0.08
Ashkenazy 1981   13  0.4216  0.0131  0.0641  0.1968  0.0438  0.09
Bacha 2000   3  0.4748  0.008  0.106  0.5228  0.364  0.43
Badura 1965   72  0.2572  0.0070  0.0464  0.0486  0.0386  0.03
Barbosa 1983   30  0.3683  0.0036  0.0630  0.2557  0.0525  0.11
Biret 1990   7  0.4532  0.0010  0.117  0.5266  0.0513  0.16
Blet 2003   64  0.2944  0.0060  0.0466  0.0478  0.0381  0.03
Block 1995   71  0.2625  0.0058  0.0468  0.0468  0.0468  0.04
Blumental 1952   32  0.3660  0.0044  0.0444  0.1084  0.0349  0.05
Boshniakovich 1969   65  0.2985  0.0057  0.0471  0.0485  0.0387  0.03
Brailowsky 1960   18  0.4129  0.0018  0.1316  0.4353  0.0611  0.16
Bunin 1987   78  0.2287  0.0080  0.0386  0.0374  0.0488  0.03
Bunin 1987b   80  0.2280  0.0081  0.0470  0.0474  0.0375  0.03
Chiu 1999   11  0.4323  0.0030  0.0526  0.2982  0.0333  0.09
Cohen 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cortot 1951   49  0.3226  0.0063  0.0648  0.0666  0.0450  0.05
Csalog 1996   17  0.4112  0.024  0.145  0.5422  0.442  0.49
Czerny 1949   74  0.2461  0.0073  0.0476  0.0468  0.0464  0.04
Czerny 1990   66  0.2976  0.0071  0.0469  0.0462  0.0469  0.04
Duchoud 2007   50  0.3264  0.0065  0.0458  0.0463  0.0466  0.04
Ezaki 2006   23  0.3914  0.0121  0.0734  0.2483  0.0340  0.08
Falvay 1989   4  0.472  0.133  0.194  0.5441  0.157  0.28
Farrell 1958   15  0.4251  0.0027  0.0620  0.3370  0.0422  0.11
Ferenczy 1958   34  0.3521  0.0041  0.0738  0.2259  0.0435  0.09
Fliere 1977   38  0.3428  0.0048  0.0473  0.0465  0.0452  0.04
Fou 1978   5  0.4688  0.0016  0.119  0.5179  0.0417  0.14
Francois 1956   42  0.338  0.0320  0.0723  0.3186  0.0332  0.10
Friedman 1923   88  0.1189  0.0088  0.0288  0.0286  0.0391  0.02
Friedman 1923b   87  0.1191  0.0087  0.0287  0.0286  0.0390  0.02
Friedman 1930   81  0.2086  0.0083  0.0381  0.0385  0.0383  0.03
Garcia 2007   68  0.2765  0.0068  0.0463  0.0485  0.0385  0.03
Garcia 2007b   52  0.3142  0.0050  0.0551  0.0578  0.0371  0.04
Gierzod 1998   26  0.3830  0.0029  0.0627  0.2782  0.0336  0.09
Gornostaeva 1994   43  0.3333  0.0026  0.0740  0.2087  0.0245  0.06
Groot 1988   31  0.3624  0.0035  0.0521  0.3362  0.0428  0.11
Harasiewicz 1955   39  0.3411  0.0347  0.0472  0.0467  0.0470  0.04
Hatto 1993   25  0.3850  0.0033  0.0633  0.2586  0.0339  0.09
Hatto 1997   21  0.4018  0.0113  0.0918  0.4177  0.0419  0.13
Horowitz 1949   83  0.1881  0.0084  0.0385  0.0369  0.0377  0.03
Indjic 1988   27  0.3841  0.0034  0.0639  0.2277  0.0434  0.09
Kapell 1951   53  0.3168  0.0049  0.0461  0.0465  0.0457  0.04
Kissin 1993   56  0.3190  0.0064  0.0647  0.0682  0.0361  0.04
Kushner 1989   24  0.3831  0.0024  0.0637  0.2381  0.0341  0.08
Luisada 1991   29  0.3774  0.0045  0.0445  0.0775  0.0447  0.05
Lushtak 2004   6  0.4654  0.009  0.1110  0.4954  0.0512  0.16
Malcuzynski 1961   79  0.2282  0.0082  0.0475  0.0468  0.0459  0.04
Magaloff 1978   14  0.4240  0.0017  0.1215  0.4461  0.0418  0.13
Magin 1975   77  0.2358  0.0076  0.0384  0.0380  0.0374  0.03
Michalowski 1933   84  0.1819  0.0177  0.0383  0.0388  0.0380  0.03
Milkina 1970   10  0.433  0.126  0.183  0.5941  0.166  0.31
Mohovich 1999   28  0.3736  0.0037  0.0629  0.2661  0.0527  0.11
Moravec 1969   46  0.3322  0.0053  0.0646  0.0649  0.0546  0.05
Morozova 2008   67  0.2875  0.0072  0.0550  0.0572  0.0463  0.04
Neighaus 1950   44  0.3339  0.0059  0.0467  0.0487  0.0289  0.03
Niedzielski 1931   82  0.1978  0.0078  0.0382  0.0353  0.0473  0.03
Ohlsson 1999   20  0.4015  0.0123  0.0717  0.4287  0.0324  0.11
Osinska 1989   16  0.4117  0.0111  0.1012  0.4670  0.0415  0.14
Pachmann 1927   55  0.3166  0.0051  0.0556  0.0568  0.0460  0.04
Paderewski 1930   40  0.3445  0.0042  0.0643  0.1381  0.0343  0.06
Perlemuter 1992   37  0.3547  0.0061  0.0552  0.0574  0.0453  0.04
Pierdomenico 2008   60  0.3073  0.0054  0.0459  0.0473  0.0456  0.04
Poblocka 1999   47  0.3357  0.0043  0.0742  0.1747  0.0629  0.10
Rabcewiczowa 1932   33  0.3637  0.0032  0.0522  0.3278  0.0330  0.10
Rachmaninoff 1923   86  0.1679  0.0085  0.0474  0.0479  0.0455  0.04
Rangell 2001   41  0.3335  0.0014  0.0925  0.2961  0.0521  0.12
Richter 1976   73  0.2538  0.0075  0.0477  0.0483  0.0378  0.03
Rosen 1989   12  0.429  0.0312  0.1114  0.4678  0.0320  0.12
Rosenthal 1930   69  0.2634  0.0055  0.0557  0.0576  0.0367  0.04
Rosenthal 1931   62  0.3053  0.0028  0.0624  0.3138  0.258  0.28
Rosenthal 1931b   51  0.3120  0.0022  0.0719  0.3631  0.305  0.33
Rosenthal 1931c   48  0.3284  0.0040  0.0836  0.2358  0.0431  0.10
Rosenthal 1931d   59  0.3067  0.0039  0.0928  0.2733  0.2310  0.25
Rossi 2007   70  0.2663  0.0069  0.0379  0.0367  0.0472  0.03
Rubinstein 1939   9  0.444  0.082  0.168  0.5114  0.433  0.47
Rubinstein 1952   1  0.491  0.241  0.242  0.6518  0.511  0.58
Rubinstein 1966   8  0.446  0.045  0.1713  0.4643  0.159  0.26
Schilhawsky 1960   76  0.2369  0.0079  0.0380  0.0372  0.0482  0.03
Shebanova 2002   22  0.4055  0.0025  0.0631  0.2564  0.0526  0.11
Smith 1975   19  0.4127  0.0015  0.1011  0.4862  0.0416  0.14
Sokolov 2002   61  0.3043  0.0067  0.0553  0.0567  0.0454  0.04
Sztompka 1959   63  0.2952  0.0074  0.0378  0.0382  0.0379  0.03
Tomsic 1995   35  0.3549  0.0038  0.0632  0.2564  0.0523  0.11
Uninsky 1932   85  0.1670  0.0086  0.0460  0.0488  0.0284  0.03
Uninsky 1971   75  0.247  0.0462  0.0555  0.0581  0.0462  0.04
Wasowski 1980   45  0.3313  0.0156  0.0465  0.0462  0.0551  0.04
Zak 1937   58  0.3077  0.0052  0.0549  0.0587  0.0358  0.04
Zak 1951   57  0.3159  0.0046  0.0462  0.0487  0.0376  0.03
Average   2  0.495  0.067  0.221  0.7380  0.0314  0.15
Random 1   91  -0.0262  0.0091  0.0191  0.0116  0.3544  0.06
Random 2   90  0.0246  0.0090  0.0190  0.0126  0.2848  0.05
Random 3   89  0.0356  0.0089  0.0289  0.029  0.4337  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).