Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   20  0.5026  0.0014  0.0914  0.5856  0.0421  0.15
Anderszewski 2003   33  0.4557  0.0042  0.0545  0.1281  0.0345  0.06
Ashkenazy 1981   40  0.4314  0.0034  0.1129  0.3184  0.0334  0.10
Bacha 2000   81  0.2971  0.0085  0.0287  0.0276  0.0475  0.03
Badura 1965   56  0.3942  0.0032  0.0634  0.2356  0.0532  0.11
Barbosa 1983   84  0.2755  0.0078  0.0375  0.0380  0.0484  0.03
Biret 1990   34  0.4552  0.0050  0.0748  0.0761  0.0546  0.06
Blet 2003   57  0.3932  0.0066  0.0558  0.0586  0.0366  0.04
Block 1995   70  0.3580  0.0068  0.0468  0.0464  0.0469  0.04
Blumental 1952   55  0.399  0.0127  0.0831  0.3074  0.0433  0.11
Boshniakovich 1969   54  0.3924  0.0064  0.0567  0.0578  0.0470  0.04
Brailowsky 1960   24  0.4713  0.0022  0.0926  0.3436  0.299  0.31
Bunin 1987   36  0.4468  0.0030  0.0628  0.3147  0.0625  0.14
Bunin 1987b   39  0.4370  0.0029  0.0627  0.3347  0.0623  0.14
Chiu 1999   87  0.2577  0.0075  0.0374  0.0364  0.0478  0.03
Cohen 1997   85  0.2637  0.0071  0.0376  0.0357  0.0572  0.04
Cortot 1951   28  0.4641  0.0033  0.0835  0.2245  0.1116  0.16
Csalog 1996   75  0.3321  0.0080  0.0382  0.0367  0.0485  0.03
Czerny 1949   15  0.5220  0.0018  0.1113  0.5843  0.1310  0.27
Czerny 1990   14  0.5225  0.0016  0.1315  0.5864  0.0422  0.15
Duchoud 2007   65  0.3672  0.0060  0.0563  0.0583  0.0367  0.04
Ezaki 2006   17  0.5144  0.0012  0.1511  0.6074  0.0417  0.15
Falvay 1989   48  0.4135  0.0043  0.0542  0.1474  0.0443  0.07
Farrell 1958   53  0.4027  0.0058  0.0561  0.0579  0.0360  0.04
Ferenczy 1958   44  0.4249  0.0057  0.0656  0.0667  0.0453  0.05
Fliere 1977   11  0.5350  0.0019  0.1216  0.5371  0.0418  0.15
Fou 1978   50  0.417  0.0141  0.0640  0.1664  0.0536  0.09
Francois 1956   27  0.4666  0.0045  0.0643  0.1369  0.0347  0.06
Friedman 1923   80  0.3151  0.0063  0.0655  0.0661  0.0557  0.05
Friedman 1923b   77  0.3167  0.0062  0.0557  0.0562  0.0556  0.05
Friedman 1930   52  0.4136  0.0026  0.0824  0.3464  0.0527  0.13
Garcia 2007   83  0.2853  0.0087  0.0380  0.0380  0.0388  0.03
Garcia 2007b   86  0.2547  0.0086  0.0285  0.0287  0.0391  0.02
Gierzod 1998   13  0.5317  0.0020  0.1417  0.5064  0.0424  0.14
Gornostaeva 1994   8  0.5615  0.0011  0.157  0.6336  0.227  0.37
Groot 1988   29  0.4619  0.009  0.1621  0.4668  0.0426  0.14
Harasiewicz 1955   51  0.4130  0.0021  0.1322  0.3673  0.0335  0.10
Hatto 1993   71  0.3588  0.0059  0.0559  0.0589  0.0374  0.04
Hatto 1997   60  0.3845  0.0051  0.0747  0.0779  0.0452  0.05
Horowitz 1949   31  0.4543  0.0031  0.0725  0.3441  0.1812  0.25
Indjic 1988   72  0.3586  0.0065  0.0652  0.0678  0.0451  0.05
Kapell 1951   22  0.4975  0.0046  0.0653  0.0650  0.0550  0.05
Kissin 1993   45  0.4283  0.0047  0.0651  0.0677  0.0365  0.04
Kushner 1989   21  0.4928  0.0048  0.0746  0.0775  0.0449  0.05
Luisada 1991   66  0.3660  0.0074  0.0371  0.0384  0.0376  0.03
Lushtak 2004   67  0.3685  0.0049  0.0649  0.0684  0.0368  0.04
Malcuzynski 1961   9  0.5423  0.0017  0.0918  0.4946  0.0713  0.19
Magaloff 1978   7  0.5629  0.007  0.139  0.6139  0.178  0.32
Magin 1975   38  0.4476  0.0055  0.0562  0.0582  0.0359  0.04
Michalowski 1933   68  0.3664  0.0061  0.0564  0.0572  0.0464  0.04
Milkina 1970   35  0.4531  0.0054  0.0650  0.0682  0.0361  0.04
Mohovich 1999   32  0.4539  0.0028  0.0633  0.2584  0.0338  0.09
Moravec 1969   10  0.546  0.0110  0.158  0.6215  0.426  0.51
Morozova 2008   41  0.4316  0.0023  0.1130  0.3177  0.0431  0.11
Neighaus 1950   43  0.4340  0.0038  0.0637  0.1774  0.0441  0.08
Niedzielski 1931   46  0.4233  0.0036  0.0738  0.1662  0.0344  0.07
Ohlsson 1999   42  0.4381  0.0052  0.0560  0.0573  0.0463  0.04
Osinska 1989   37  0.4489  0.0053  0.0565  0.0574  0.0458  0.04
Pachmann 1927   82  0.2884  0.0083  0.0288  0.0272  0.0483  0.03
Paderewski 1930   58  0.3873  0.0072  0.0373  0.0386  0.0382  0.03
Perlemuter 1992   59  0.3822  0.0044  0.0639  0.1687  0.0342  0.07
Pierdomenico 2008   76  0.3290  0.0082  0.0284  0.0286  0.0390  0.02
Poblocka 1999   19  0.5048  0.0035  0.0732  0.2972  0.0429  0.11
Rabcewiczowa 1932   18  0.5011  0.008  0.1519  0.4941  0.1311  0.25
Rachmaninoff 1923   6  0.584  0.035  0.466  0.744  0.625  0.68
Rangell 2001   69  0.3612  0.0069  0.0469  0.0471  0.0473  0.04
Richter 1976   47  0.4262  0.0037  0.0644  0.1359  0.0539  0.08
Rosen 1989   30  0.4638  0.0040  0.0636  0.1985  0.0340  0.08
Rosenthal 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931   3  0.695  0.023  0.493  0.894  0.914  0.90
Rosenthal 1931b   2  0.703  0.052  0.432  0.914  0.932  0.92
Rosenthal 1931c   1  0.781  0.731  0.721  0.944  0.931  0.93
Rosenthal 1931d   4  0.692  0.084  0.514  0.894  0.933  0.91
Rossi 2007   88  0.2279  0.0088  0.0370  0.0374  0.0477  0.03
Rubinstein 1939   78  0.3163  0.0084  0.0286  0.0269  0.0479  0.03
Rubinstein 1952   74  0.3387  0.0077  0.0378  0.0379  0.0489  0.03
Rubinstein 1966   61  0.3746  0.0076  0.0377  0.0387  0.0386  0.03
Schilhawsky 1960   25  0.4658  0.0024  0.0823  0.3567  0.0428  0.12
Shebanova 2002   63  0.3691  0.0073  0.0372  0.0379  0.0487  0.03
Smith 1975   16  0.5110  0.0015  0.1010  0.6055  0.0514  0.17
Sokolov 2002   12  0.5334  0.0013  0.1012  0.5964  0.0419  0.15
Sztompka 1959   23  0.4818  0.0025  0.0820  0.4753  0.0615  0.17
Tomsic 1995   79  0.3159  0.0079  0.0381  0.0369  0.0562  0.04
Uninsky 1932   49  0.4154  0.0056  0.0654  0.0676  0.0454  0.05
Uninsky 1971   26  0.4665  0.0039  0.0841  0.1649  0.0730  0.11
Wasowski 1980   73  0.3456  0.0081  0.0383  0.0347  0.0748  0.05
Zak 1937   62  0.3661  0.0070  0.0379  0.0386  0.0380  0.03
Zak 1951   64  0.3669  0.0067  0.0566  0.0588  0.0281  0.03
Average   5  0.638  0.016  0.425  0.8082  0.0320  0.15
Random 1   91  -0.0574  0.0091  0.0191  0.0126  0.2455  0.05
Random 2   89  0.0182  0.0089  0.0289  0.0210  0.4337  0.09
Random 3   90  -0.0278  0.0090  0.0190  0.0133  0.1471  0.04

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).