Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   31  0.4935  0.0055  0.0946  0.0979  0.0358  0.05
Anderszewski 2003   12  0.5518  0.0123  0.1415  0.5537  0.1517  0.29
Ashkenazy 1981   53  0.4436  0.0054  0.0847  0.0861  0.0449  0.06
Bacha 2000   16  0.5358  0.0021  0.1222  0.4221  0.4113  0.41
Badura 1965   77  0.3628  0.0077  0.0474  0.0477  0.0471  0.04
Barbosa 1983   44  0.4732  0.0015  0.0925  0.3841  0.1919  0.27
Biret 1990   19  0.5246  0.0030  0.0727  0.3767  0.0531  0.14
Blet 2003   60  0.4250  0.0069  0.0384  0.0387  0.0380  0.03
Block 1995   13  0.552  0.133  0.1719  0.4815  0.4410  0.46
Blumental 1952   48  0.469  0.0228  0.0635  0.3165  0.0440  0.11
Boshniakovich 1969   28  0.5062  0.0040  0.0938  0.2376  0.0442  0.10
Brailowsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bunin 1987   70  0.4087  0.0074  0.0477  0.0467  0.0472  0.04
Bunin 1987b   72  0.3990  0.0075  0.0554  0.0570  0.0464  0.04
Chiu 1999   45  0.4757  0.0034  0.0831  0.3451  0.0533  0.13
Cohen 1997   63  0.4126  0.0048  0.0653  0.0616  0.4327  0.16
Cortot 1951   73  0.3848  0.0072  0.0383  0.0384  0.0388  0.03
Csalog 1996   69  0.4071  0.0062  0.0564  0.0556  0.0557  0.05
Czerny 1949   68  0.4045  0.0071  0.0378  0.0383  0.0382  0.03
Czerny 1990   37  0.4964  0.0051  0.0557  0.0579  0.0373  0.04
Duchoud 2007   81  0.3289  0.0083  0.0472  0.0486  0.0383  0.03
Ezaki 2006   5  0.6010  0.0210  0.1610  0.6244  0.1218  0.27
Falvay 1989   4  0.606  0.045  0.164  0.7020  0.464  0.57
Farrell 1958   39  0.4883  0.0050  0.0566  0.0562  0.0551  0.05
Ferenczy 1958   30  0.5016  0.0145  0.0545  0.1027  0.2925  0.17
Fliere 1977   6  0.6014  0.017  0.122  0.7548  0.0720  0.23
Fou 1978   10  0.578  0.0211  0.145  0.6844  0.1316  0.30
Francois 1956   62  0.4275  0.0068  0.0382  0.0381  0.0389  0.03
Friedman 1923   87  0.2386  0.0087  0.0387  0.0382  0.0390  0.03
Friedman 1923b   88  0.2381  0.0086  0.0388  0.0378  0.0486  0.03
Friedman 1930   85  0.2967  0.0082  0.0475  0.0478  0.0469  0.04
Garcia 2007   80  0.3259  0.0079  0.0381  0.0370  0.0484  0.03
Garcia 2007b   79  0.3255  0.0076  0.0470  0.0451  0.0574  0.04
Gierzod 1998   24  0.5120  0.0026  0.0924  0.3969  0.0438  0.12
Gornostaeva 1994   14  0.5577  0.0037  0.0732  0.3346  0.0535  0.13
Groot 1988   9  0.587  0.036  0.157  0.6832  0.3111  0.46
Harasiewicz 1955   21  0.5221  0.0016  0.0912  0.5762  0.0526  0.17
Hatto 1993   75  0.3784  0.0061  0.0468  0.0482  0.0387  0.03
Hatto 1997   66  0.4073  0.0059  0.0559  0.0573  0.0470  0.04
Horowitz 1949   25  0.513  0.0913  0.1413  0.5717  0.536  0.55
Indjic 1988   74  0.3778  0.0064  0.0560  0.0567  0.0556  0.05
Kapell 1951   52  0.4482  0.0057  0.0749  0.0766  0.0452  0.05
Kissin 1993   51  0.4543  0.0044  0.0544  0.1072  0.0448  0.06
Kushner 1989   20  0.5251  0.0038  0.0834  0.3172  0.0439  0.11
Luisada 1991   7  0.5913  0.019  0.169  0.6630  0.348  0.47
Lushtak 2004   29  0.5015  0.0117  0.0923  0.3941  0.1421  0.23
Malcuzynski 1961   40  0.4841  0.0053  0.0748  0.0780  0.0353  0.05
Magaloff 1978   3  0.624  0.072  0.168  0.6722  0.397  0.51
Magin 1975   49  0.4676  0.0042  0.0642  0.1774  0.0345  0.07
Michalowski 1933   86  0.2779  0.0084  0.0467  0.0487  0.0379  0.03
Milkina 1970   11  0.5761  0.0022  0.1518  0.5146  0.0822  0.20
Mohovich 1999   2  0.635  0.054  0.183  0.7425  0.435  0.56
Moravec 1969   38  0.4825  0.0029  0.0639  0.2345  0.1028  0.15
Morozova 2008   41  0.4834  0.0035  0.0926  0.3871  0.0437  0.12
Neighaus 1950   43  0.4856  0.0052  0.0651  0.0668  0.0559  0.05
Niedzielski 1931   67  0.4024  0.0049  0.0556  0.0582  0.0363  0.04
Ohlsson 1999   35  0.4968  0.0046  0.0562  0.0575  0.0467  0.04
Osinska 1989   23  0.5147  0.0041  0.0641  0.2271  0.0443  0.09
Pachmann 1927   65  0.4172  0.0073  0.0385  0.0351  0.0666  0.04
Paderewski 1930   83  0.2965  0.0088  0.0476  0.0474  0.0377  0.03
Perlemuter 1992   54  0.4437  0.0058  0.0652  0.0679  0.0360  0.04
Pierdomenico 2008   82  0.3291  0.0078  0.0471  0.0476  0.0462  0.04
Poblocka 1999   18  0.5319  0.0124  0.0921  0.4471  0.0432  0.13
Rabcewiczowa 1932   64  0.4169  0.0070  0.0380  0.0383  0.0376  0.03
Rachmaninoff 1923   27  0.5123  0.0033  0.0929  0.3762  0.0436  0.12
Rangell 2001   61  0.4266  0.0043  0.0643  0.1370  0.0447  0.07
Richter 1976   57  0.4263  0.0060  0.0469  0.0451  0.0654  0.05
Rosen 1989   15  0.5431  0.0014  0.1020  0.4747  0.0823  0.19
Rosenthal 1930   46  0.4712  0.0127  0.0636  0.2926  0.3415  0.31
Rosenthal 1931   33  0.4953  0.0019  0.0817  0.529  0.653  0.58
Rosenthal 1931b   32  0.4942  0.0020  0.1216  0.528  0.662  0.59
Rosenthal 1931c   55  0.4429  0.0047  0.0558  0.0536  0.2541  0.11
Rosenthal 1931d   17  0.5330  0.0012  0.1311  0.578  0.681  0.62
Rossi 2007   84  0.2974  0.0085  0.0386  0.0377  0.0375  0.03
Rubinstein 1939   47  0.4617  0.0125  0.0733  0.3218  0.4014  0.36
Rubinstein 1952   22  0.5227  0.0018  0.0914  0.5624  0.399  0.47
Rubinstein 1966   26  0.5140  0.0036  0.0937  0.2349  0.0830  0.14
Schilhawsky 1960   71  0.3922  0.0066  0.0563  0.0578  0.0468  0.04
Shebanova 2002   36  0.4944  0.0039  0.0840  0.2281  0.0444  0.09
Smith 1975   8  0.5911  0.018  0.146  0.6826  0.2912  0.44
Sokolov 2002   56  0.4285  0.0065  0.0565  0.0579  0.0361  0.04
Sztompka 1959   76  0.3749  0.0081  0.0473  0.0488  0.0278  0.03
Tomsic 1995   50  0.4652  0.0056  0.0555  0.0575  0.0465  0.04
Uninsky 1932   78  0.3670  0.0080  0.0379  0.0384  0.0381  0.03
Uninsky 1971   58  0.4238  0.0067  0.0650  0.0666  0.0555  0.05
Wasowski 1980   59  0.4233  0.0063  0.0561  0.0561  0.0550  0.05
Zak 1937   34  0.4939  0.0031  0.0730  0.3663  0.0534  0.13
Zak 1951   42  0.4854  0.0032  0.1228  0.3762  0.0529  0.14
Average   1  0.671  0.401  0.401  0.8372  0.0424  0.18
Random 1   91  -0.1288  0.0091  0.0191  0.0191  0.0191  0.01
Random 2   89  -0.0460  0.0089  0.0290  0.0230  0.2446  0.07
Random 3   90  -0.0480  0.0090  0.0289  0.0250  0.0485  0.03

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).