Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   29  0.3938  0.0037  0.0535  0.2082  0.0337  0.08
Anderszewski 2003   27  0.3914  0.0028  0.1127  0.3079  0.0333  0.09
Ashkenazy 1981   44  0.3648  0.0043  0.0741  0.1687  0.0343  0.07
Bacha 2000   33  0.3835  0.0040  0.0737  0.1987  0.0335  0.08
Badura 1965   84  0.2288  0.0081  0.0286  0.0287  0.0390  0.02
Barbosa 1983   88  0.1877  0.0076  0.0288  0.0287  0.0387  0.02
Biret 1990   24  0.4116  0.0031  0.0732  0.2478  0.0432  0.10
Blet 2003   65  0.3113  0.0054  0.0748  0.0782  0.0351  0.05
Block 1995   40  0.3752  0.0038  0.0539  0.1879  0.0342  0.07
Blumental 1952   52  0.348  0.0030  0.0729  0.2856  0.0426  0.11
Boshniakovich 1969   49  0.3524  0.0058  0.0461  0.0487  0.0379  0.03
Brailowsky 1960   7  0.5336  0.005  0.288  0.6811  0.575  0.62
Bunin 1987   58  0.3258  0.0067  0.0368  0.0377  0.0380  0.03
Bunin 1987b   62  0.3249  0.0066  0.0365  0.0375  0.0366  0.03
Chiu 1999   77  0.2581  0.0047  0.0649  0.0668  0.0449  0.05
Cohen 1997   66  0.3078  0.0035  0.0533  0.2328  0.278  0.25
Cortot 1951   60  0.3239  0.0082  0.0374  0.0377  0.0483  0.03
Csalog 1996   61  0.3259  0.0069  0.0380  0.0368  0.0474  0.03
Czerny 1949   51  0.346  0.0055  0.0553  0.0569  0.0458  0.04
Czerny 1990   36  0.3837  0.0034  0.0534  0.2388  0.0338  0.08
Duchoud 2007   74  0.2712  0.0085  0.0375  0.0373  0.0477  0.03
Ezaki 2006   17  0.4415  0.0017  0.1112  0.6047  0.0710  0.20
Falvay 1989   14  0.4527  0.0011  0.1213  0.5757  0.0612  0.18
Farrell 1958   48  0.3521  0.0046  0.0550  0.0588  0.0265  0.03
Ferenczy 1958   56  0.3331  0.0075  0.0367  0.0387  0.0288  0.02
Fliere 1977   22  0.4382  0.0026  0.0921  0.4087  0.0323  0.11
Fou 1978   18  0.4350  0.0015  0.1010  0.6263  0.0513  0.18
Francois 1956   30  0.3965  0.0032  0.0631  0.2477  0.0340  0.08
Friedman 1923   87  0.2051  0.0087  0.0462  0.0459  0.0562  0.04
Friedman 1923b   85  0.2070  0.0086  0.0463  0.0482  0.0381  0.03
Friedman 1930   79  0.2566  0.0063  0.0370  0.0377  0.0475  0.03
Garcia 2007   73  0.2720  0.0083  0.0377  0.0387  0.0378  0.03
Garcia 2007b   81  0.2471  0.0061  0.0558  0.0575  0.0461  0.04
Gierzod 1998   16  0.4525  0.0024  0.0823  0.3763  0.0421  0.12
Gornostaeva 1994   8  0.5053  0.0013  0.1414  0.5666  0.0418  0.15
Groot 1988   23  0.4222  0.0016  0.1116  0.4781  0.0322  0.12
Harasiewicz 1955   53  0.3489  0.0027  0.0924  0.3685  0.0239  0.08
Hatto 1993   78  0.2590  0.0071  0.0383  0.0372  0.0482  0.03
Hatto 1997   71  0.2828  0.0057  0.0746  0.0784  0.0352  0.05
Horowitz 1949   37  0.3867  0.0042  0.0838  0.1980  0.0336  0.08
Indjic 1988   76  0.2579  0.0073  0.0378  0.0383  0.0373  0.03
Kapell 1951   38  0.3783  0.0056  0.0552  0.0588  0.0355  0.04
Kissin 1993   32  0.3932  0.0033  0.0640  0.1788  0.0245  0.06
Kushner 1989   15  0.4542  0.0022  0.0825  0.3285  0.0329  0.10
Luisada 1991   35  0.3884  0.0045  0.0644  0.1276  0.0441  0.07
Lushtak 2004   70  0.2929  0.0052  0.0555  0.0570  0.0459  0.04
Malcuzynski 1961   9  0.4810  0.0018  0.1619  0.4372  0.0324  0.11
Magaloff 1978   6  0.5343  0.007  0.257  0.6836  0.197  0.36
Magin 1975   19  0.4333  0.0020  0.0918  0.4673  0.0320  0.12
Michalowski 1933   83  0.237  0.0084  0.0284  0.0286  0.0386  0.02
Milkina 1970   11  0.4726  0.0014  0.1317  0.4668  0.0516  0.15
Mohovich 1999   20  0.4330  0.0021  0.1020  0.4287  0.0327  0.11
Moravec 1969   10  0.4811  0.009  0.1511  0.6026  0.306  0.42
Morozova 2008   54  0.3440  0.0044  0.0643  0.1486  0.0346  0.06
Neighaus 1950   50  0.3460  0.0062  0.0460  0.0478  0.0460  0.04
Niedzielski 1931   41  0.3761  0.0029  0.0728  0.2843  0.1014  0.17
Ohlsson 1999   55  0.3485  0.0064  0.0366  0.0388  0.0371  0.03
Osinska 1989   34  0.3844  0.0049  0.0551  0.0582  0.0454  0.04
Pachmann 1927   68  0.2934  0.0070  0.0371  0.0377  0.0469  0.03
Paderewski 1930   57  0.3291  0.0074  0.0381  0.0370  0.0468  0.03
Perlemuter 1992   59  0.325  0.0053  0.0554  0.0570  0.0453  0.04
Pierdomenico 2008   67  0.3017  0.0060  0.0464  0.0481  0.0364  0.03
Poblocka 1999   45  0.3680  0.0065  0.0369  0.0388  0.0363  0.03
Rabcewiczowa 1932   26  0.409  0.0010  0.1822  0.4047  0.0715  0.17
Rachmaninoff 1923   12  0.4654  0.008  0.206  0.7047  0.0611  0.20
Rangell 2001   31  0.3968  0.0039  0.0542  0.1478  0.0347  0.06
Richter 1976   75  0.2662  0.0080  0.0289  0.0284  0.0385  0.02
Rosen 1989   21  0.4318  0.0023  0.0926  0.3186  0.0331  0.10
Rosenthal 1930   4  0.694  0.004  0.824  0.934  0.894  0.91
Rosenthal 1931   2  0.872  0.032  0.892  0.982  0.982  0.98
Rosenthal 1931b   1  0.921  0.941  0.931  0.992  0.991  0.99
Rosenthal 1931c   3  0.813  0.023  0.903  0.973  0.963  0.96
Rosenthal 1931d   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rossi 2007   82  0.2469  0.0059  0.0559  0.0558  0.0548  0.05
Rubinstein 1939   39  0.3745  0.0041  0.0736  0.2054  0.0528  0.10
Rubinstein 1952   25  0.4072  0.0019  0.0915  0.4746  0.099  0.21
Rubinstein 1966   43  0.3655  0.0050  0.0557  0.0571  0.0457  0.04
Schilhawsky 1960   47  0.3519  0.0025  0.0730  0.2471  0.0430  0.10
Shebanova 2002   63  0.3173  0.0072  0.0376  0.0388  0.0376  0.03
Smith 1975   13  0.4556  0.0012  0.139  0.6571  0.0319  0.14
Sokolov 2002   28  0.3923  0.0036  0.0545  0.1177  0.0344  0.06
Sztompka 1959   72  0.2863  0.0078  0.0379  0.0381  0.0470  0.03
Tomsic 1995   64  0.3174  0.0068  0.0382  0.0382  0.0367  0.03
Uninsky 1932   80  0.2575  0.0079  0.0285  0.0280  0.0389  0.02
Uninsky 1971   69  0.2941  0.0077  0.0373  0.0379  0.0472  0.03
Wasowski 1980   86  0.2086  0.0088  0.0372  0.0388  0.0284  0.02
Zak 1937   46  0.3664  0.0051  0.0556  0.0582  0.0356  0.04
Zak 1951   42  0.3646  0.0048  0.0747  0.0786  0.0350  0.05
Average   5  0.5547  0.006  0.325  0.7883  0.0317  0.15
Random 1   90  -0.0276  0.0090  0.0290  0.028  0.4134  0.09
Random 2   89  0.0287  0.0089  0.0287  0.022  0.5625  0.11
Random 3   91  -0.0757  0.0091  0.0191  0.0190  0.0191  0.01

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).