Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.5319  0.0121  0.119  0.4847  0.0624  0.17
Anderszewski 2003   29  0.477  0.0218  0.0922  0.3832  0.1915  0.27
Ashkenazy 1981   3  0.604  0.032  0.342  0.7017  0.443  0.55
Bacha 2000   51  0.4441  0.0064  0.0470  0.0447  0.0653  0.05
Badura 1965   53  0.4352  0.0026  0.0925  0.3620  0.398  0.37
Barbosa 1983   57  0.4270  0.0045  0.0649  0.0652  0.0650  0.06
Biret 1990   8  0.5446  0.0019  0.1011  0.4746  0.0921  0.21
Blet 2003   43  0.4558  0.0035  0.0630  0.2750  0.0533  0.12
Block 1995   75  0.3590  0.0071  0.0383  0.0381  0.0384  0.03
Blumental 1952   80  0.3448  0.0078  0.0476  0.0480  0.0385  0.03
Boshniakovich 1969   54  0.4362  0.0066  0.0468  0.0472  0.0471  0.04
Brailowsky 1960   82  0.3281  0.0085  0.0385  0.0371  0.0478  0.03
Bunin 1987   36  0.4759  0.0033  0.0528  0.3131  0.2614  0.28
Bunin 1987b   37  0.4634  0.0030  0.0727  0.3229  0.3113  0.31
Chiu 1999   23  0.495  0.027  0.164  0.6210  0.532  0.57
Cohen 1997   83  0.3224  0.0080  0.0462  0.0457  0.0573  0.04
Cortot 1951   60  0.4182  0.0068  0.0845  0.0853  0.0552  0.06
Csalog 1996   62  0.4133  0.0044  0.0644  0.1148  0.0640  0.08
Czerny 1949   44  0.4442  0.0053  0.0552  0.0576  0.0468  0.04
Czerny 1990   24  0.4945  0.0041  0.0742  0.1473  0.0446  0.07
Duchoud 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ezaki 2006   33  0.4776  0.0040  0.0639  0.1748  0.0638  0.10
Falvay 1989   66  0.4064  0.0072  0.0478  0.0475  0.0461  0.04
Farrell 1958   21  0.4915  0.0127  0.0735  0.2049  0.0635  0.11
Ferenczy 1958   81  0.3371  0.0070  0.0380  0.0380  0.0290  0.02
Fliere 1977   5  0.5536  0.005  0.175  0.5745  0.0819  0.21
Fou 1978   48  0.4443  0.0059  0.0379  0.0371  0.0482  0.03
Francois 1956   55  0.4335  0.0058  0.0473  0.0461  0.0475  0.04
Friedman 1923   76  0.3568  0.0065  0.0466  0.0442  0.1348  0.07
Friedman 1923b   74  0.3527  0.0063  0.0471  0.0443  0.0951  0.06
Friedman 1930   67  0.3917  0.0148  0.0551  0.0556  0.0558  0.05
Garcia 2007   64  0.4044  0.0056  0.0459  0.0436  0.1841  0.08
Garcia 2007b   73  0.3660  0.0062  0.0474  0.0466  0.0476  0.04
Gierzod 1998   32  0.4777  0.0038  0.0638  0.1773  0.0345  0.07
Gornostaeva 1994   27  0.4816  0.0132  0.0532  0.2349  0.0537  0.11
Groot 1988   35  0.4723  0.0029  0.0737  0.1881  0.0347  0.07
Harasiewicz 1955   59  0.4186  0.0036  0.0633  0.2173  0.0342  0.08
Hatto 1993   19  0.5061  0.0012  0.0916  0.4519  0.2711  0.35
Hatto 1997   12  0.5239  0.0010  0.1314  0.4521  0.327  0.38
Horowitz 1949   69  0.3872  0.0073  0.0457  0.0462  0.0465  0.04
Indjic 1988   16  0.5067  0.0013  0.1617  0.4521  0.2810  0.35
Kapell 1951   4  0.5537  0.009  0.1213  0.4634  0.2412  0.33
Kissin 1993   49  0.4473  0.0054  0.0648  0.0667  0.0557  0.05
Kushner 1989   6  0.5511  0.0120  0.1015  0.4560  0.0526  0.15
Luisada 1991   38  0.4654  0.0055  0.0746  0.0776  0.0454  0.05
Lushtak 2004   22  0.498  0.018  0.108  0.4941  0.1416  0.26
Malcuzynski 1961   42  0.4520  0.0151  0.0555  0.0572  0.0364  0.04
Magaloff 1978   56  0.4384  0.0061  0.0467  0.0479  0.0380  0.03
Magin 1975   11  0.5240  0.0011  0.1110  0.4832  0.259  0.35
Michalowski 1933   61  0.4113  0.0116  0.0920  0.4018  0.396  0.39
Milkina 1970   25  0.4851  0.0047  0.0647  0.0658  0.0649  0.06
Mohovich 1999   50  0.4438  0.0052  0.0556  0.0570  0.0472  0.04
Moravec 1969   65  0.4028  0.0075  0.0460  0.0465  0.0459  0.04
Morozova 2008   17  0.5032  0.0014  0.1112  0.4738  0.1317  0.25
Neighaus 1950   14  0.5121  0.0023  0.0823  0.3752  0.0529  0.14
Niedzielski 1931   70  0.3726  0.0076  0.0477  0.0482  0.0381  0.03
Ohlsson 1999   1  0.681  0.661  0.661  0.783  0.631  0.70
Osinska 1989   41  0.4512  0.0150  0.0458  0.0476  0.0460  0.04
Pachmann 1927   79  0.3469  0.0081  0.0465  0.0451  0.0656  0.05
Paderewski 1930   78  0.3475  0.0082  0.0463  0.0471  0.0466  0.04
Perlemuter 1992   63  0.4053  0.0057  0.0469  0.0484  0.0377  0.03
Pierdomenico 2008   45  0.4418  0.0149  0.0553  0.0525  0.2832  0.12
Poblocka 1999   15  0.5178  0.0017  0.1119  0.4348  0.0625  0.16
Rabcewiczowa 1932   58  0.4249  0.0067  0.0554  0.0578  0.0363  0.04
Rachmaninoff 1923   30  0.479  0.0122  0.0824  0.3743  0.1022  0.19
Rangell 2001   18  0.506  0.0231  0.0636  0.1828  0.2918  0.23
Richter 1976   47  0.4485  0.0043  0.0541  0.1541  0.1627  0.15
Rosen 1989   10  0.522  0.056  0.117  0.5353  0.0623  0.18
Rosenthal 1930   72  0.3687  0.0069  0.0382  0.0362  0.0570  0.04
Rosenthal 1931   85  0.2788  0.0086  0.0387  0.0375  0.0383  0.03
Rosenthal 1931b   86  0.2783  0.0083  0.0384  0.0377  0.0388  0.03
Rosenthal 1931c   77  0.3529  0.0077  0.0381  0.0375  0.0389  0.03
Rosenthal 1931d   84  0.2766  0.0087  0.0472  0.0474  0.0387  0.03
Rossi 2007   87  0.2480  0.0084  0.0386  0.0375  0.0379  0.03
Rubinstein 1939   68  0.3847  0.0079  0.0461  0.0462  0.0562  0.04
Rubinstein 1952   71  0.3750  0.0074  0.0475  0.0469  0.0474  0.04
Rubinstein 1966   39  0.4631  0.0060  0.0464  0.0465  0.0467  0.04
Schilhawsky 1960   52  0.4456  0.0034  0.0531  0.2645  0.0730  0.13
Shebanova 2002   7  0.543  0.034  0.123  0.6331  0.295  0.43
Smith 1975   28  0.4863  0.0025  0.0829  0.2957  0.0434  0.11
Sokolov 2002   2  0.6010  0.013  0.276  0.5616  0.434  0.49
Sztompka 1959   13  0.5165  0.0024  0.0921  0.4062  0.0528  0.14
Tomsic 1995   46  0.4414  0.0146  0.0550  0.0558  0.0555  0.05
Uninsky 1932   40  0.4625  0.0028  0.0726  0.3567  0.0531  0.13
Uninsky 1971   20  0.4930  0.0015  0.1218  0.4344  0.1020  0.21
Wasowski 1980   34  0.4722  0.0039  0.0540  0.1584  0.0343  0.07
Zak 1937   26  0.4855  0.0042  0.0643  0.1371  0.0444  0.07
Zak 1951   31  0.4789  0.0037  0.0734  0.2053  0.0636  0.11
Random 1   90  -0.0657  0.0090  0.0190  0.0141  0.1186  0.03
Random 2   89  -0.0474  0.0089  0.0189  0.0138  0.1669  0.04
Random 3   88  0.0679  0.0088  0.0288  0.023  0.5539  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).