Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.604  0.0218  0.0720  0.3627  0.3620  0.36
Anderszewski 2003   39  0.5238  0.0045  0.0748  0.0729  0.2450  0.13
Ashkenazy 1981   29  0.5525  0.0026  0.0731  0.2439  0.1933  0.21
Bacha 2000   36  0.5313  0.0159  0.0654  0.0618  0.4238  0.16
Badura 1965   82  0.3872  0.0078  0.0564  0.0571  0.0481  0.04
Barbosa 1983   51  0.5019  0.0014  0.1017  0.409  0.5314  0.46
Biret 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Blet 2003   43  0.5161  0.0040  0.0438  0.1618  0.4128  0.26
Block 1995   70  0.4440  0.0072  0.0558  0.0552  0.0573  0.05
Blumental 1952   53  0.5070  0.0048  0.0561  0.0513  0.3452  0.13
Boshniakovich 1969   48  0.5147  0.0061  0.0653  0.0654  0.0574  0.05
Brailowsky 1960   38  0.5249  0.0055  0.0566  0.0526  0.3746  0.14
Bunin 1987   72  0.4277  0.0076  0.0475  0.0456  0.0582  0.04
Bunin 1987b   73  0.4262  0.0077  0.0474  0.0449  0.0578  0.04
Chiu 1999   33  0.5434  0.0020  0.0722  0.3314  0.4817  0.40
Cohen 1997   65  0.4576  0.0067  0.0565  0.056  0.5240  0.16
Cortot 1951   54  0.4935  0.0057  0.0470  0.0414  0.4749  0.14
Csalog 1996   37  0.5336  0.0039  0.0443  0.1213  0.5129  0.25
Czerny 1949   24  0.5629  0.0031  0.0630  0.2529  0.2925  0.27
Czerny 1990   18  0.5739  0.0033  0.0528  0.2749  0.0748  0.14
Duchoud 2007   35  0.5442  0.0050  0.0946  0.0911  0.4732  0.21
Ezaki 2006   6  0.613  0.049  0.1212  0.5025  0.4015  0.45
Falvay 1989   30  0.5514  0.0029  0.0829  0.2523  0.4021  0.32
Farrell 1958   2  0.6316  0.006  0.172  0.641  0.692  0.66
Ferenczy 1958   63  0.4679  0.0053  0.0656  0.0627  0.2751  0.13
Fliere 1977   13  0.5833  0.0022  0.0721  0.3552  0.0645  0.14
Fou 1978   28  0.5527  0.0028  0.0724  0.3135  0.2227  0.26
Francois 1956   31  0.5515  0.0015  0.1114  0.448  0.617  0.52
Friedman 1923   87  0.3287  0.0084  0.0284  0.0268  0.0588  0.03
Friedman 1923b   86  0.3282  0.0081  0.0286  0.0255  0.0586  0.03
Friedman 1930   80  0.3945  0.0075  0.0655  0.0666  0.0570  0.05
Garcia 2007   75  0.4130  0.0070  0.0381  0.0325  0.2762  0.09
Garcia 2007b   69  0.4458  0.0066  0.0471  0.0420  0.3457  0.12
Gierzod 1998   42  0.5286  0.0049  0.0650  0.0652  0.0572  0.05
Gornostaeva 1994   15  0.5811  0.0135  0.0732  0.2428  0.3324  0.28
Groot 1988   34  0.5448  0.0052  0.1144  0.1143  0.1060  0.10
Harasiewicz 1955   58  0.4826  0.0021  0.0719  0.3646  0.0742  0.16
Hatto 1993   59  0.4889  0.0038  0.0441  0.1340  0.1256  0.12
Hatto 1997   22  0.565  0.0211  0.1211  0.519  0.4612  0.48
Horowitz 1949   64  0.4646  0.0074  0.0469  0.0442  0.1364  0.07
Indjic 1988   47  0.5171  0.0019  0.0734  0.1932  0.2034  0.19
Kapell 1951   9  0.6060  0.0012  0.128  0.5414  0.4113  0.47
Kissin 1993   55  0.4978  0.0054  0.0563  0.0555  0.0669  0.05
Kushner 1989   7  0.6121  0.0013  0.1213  0.4824  0.3418  0.40
Luisada 1991   14  0.5810  0.0116  0.1218  0.4018  0.4816  0.44
Lushtak 2004   32  0.5554  0.008  0.1510  0.5314  0.5010  0.51
Malcuzynski 1961   46  0.5180  0.0047  0.0562  0.0564  0.0479  0.04
Magaloff 1978   20  0.5628  0.0034  0.0633  0.2241  0.1435  0.18
Magin 1975   71  0.4353  0.0065  0.0568  0.0563  0.0477  0.04
Michalowski 1933   77  0.4064  0.0068  0.0651  0.0641  0.1958  0.11
Milkina 1970   3  0.632  0.192  0.323  0.647  0.623  0.63
Mohovich 1999   26  0.5656  0.0044  0.0742  0.1343  0.1453  0.13
Moravec 1969   50  0.5143  0.0036  0.0637  0.1615  0.4126  0.26
Morozova 2008   52  0.5073  0.0043  0.0740  0.1560  0.0561  0.09
Neighaus 1950   19  0.5720  0.0024  0.0726  0.2948  0.0654  0.13
Niedzielski 1931   74  0.4155  0.0073  0.0383  0.0372  0.0383  0.03
Ohlsson 1999   4  0.629  0.015  0.135  0.5916  0.449  0.51
Osinska 1989   1  0.691  0.571  0.561  0.822  0.741  0.78
Pachmann 1927   81  0.3851  0.0083  0.0285  0.0256  0.0585  0.03
Paderewski 1930   68  0.4457  0.0069  0.0480  0.0439  0.1365  0.07
Perlemuter 1992   66  0.4575  0.0064  0.0478  0.0454  0.0576  0.04
Pierdomenico 2008   62  0.4674  0.0060  0.0557  0.0513  0.4543  0.15
Poblocka 1999   25  0.5663  0.0025  0.1023  0.3235  0.2423  0.28
Rabcewiczowa 1932   5  0.616  0.014  0.136  0.572  0.604  0.58
Rachmaninoff 1923   40  0.5223  0.0030  0.0827  0.2731  0.2031  0.23
Rangell 2001   41  0.528  0.0137  0.0547  0.0819  0.3441  0.16
Richter 1976   84  0.3683  0.0082  0.0288  0.0271  0.0484  0.03
Rosen 1989   17  0.5766  0.0027  0.0725  0.3026  0.3322  0.31
Rosenthal 1930   67  0.4550  0.0079  0.0560  0.0547  0.0767  0.06
Rosenthal 1931   85  0.3488  0.0087  0.0476  0.0460  0.0480  0.04
Rosenthal 1931b   83  0.3767  0.0086  0.0473  0.0449  0.0675  0.05
Rosenthal 1931c   79  0.4084  0.0085  0.0382  0.0372  0.0487  0.03
Rosenthal 1931d   76  0.4168  0.0080  0.0477  0.0431  0.2459  0.10
Rossi 2007   78  0.4044  0.0071  0.0472  0.047  0.5147  0.14
Rubinstein 1939   56  0.4959  0.0056  0.0652  0.0612  0.4439  0.16
Rubinstein 1952   49  0.5132  0.0046  0.0749  0.0722  0.4037  0.17
Rubinstein 1966   21  0.5665  0.0041  0.0536  0.1726  0.3830  0.25
Schilhawsky 1960   60  0.4824  0.0051  0.0945  0.0942  0.1555  0.12
Shebanova 2002   27  0.5537  0.0042  0.0635  0.1837  0.1736  0.17
Smith 1975   12  0.587  0.0110  0.159  0.5410  0.498  0.51
Sokolov 2002   8  0.6012  0.0123  0.0916  0.4019  0.3919  0.39
Sztompka 1959   45  0.5169  0.0058  0.0559  0.0548  0.0766  0.06
Tomsic 1995   57  0.4952  0.0062  0.0567  0.0549  0.0668  0.05
Uninsky 1932   61  0.4741  0.0063  0.0479  0.0451  0.0671  0.05
Uninsky 1971   44  0.5117  0.0032  0.0639  0.1539  0.1544  0.15
Wasowski 1980   23  0.5631  0.0017  0.0815  0.433  0.5411  0.48
Zak 1937   11  0.5922  0.007  0.127  0.5710  0.545  0.55
Zak 1951   16  0.5718  0.003  0.134  0.6010  0.496  0.54
Random 1   90  -0.0581  0.0090  0.0190  0.0151  0.0489  0.02
Random 2   88  0.0185  0.0088  0.0287  0.0220  0.3363  0.08
Random 3   89  -0.0290  0.0089  0.0189  0.0148  0.0490  0.02

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).