Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   28  0.3938  0.0036  0.0534  0.2081  0.0336  0.08
Anderszewski 2003   26  0.3914  0.0027  0.1126  0.3078  0.0332  0.09
Ashkenazy 1981   43  0.3647  0.0042  0.0740  0.1686  0.0342  0.07
Bacha 2000   32  0.3831  0.0039  0.0736  0.1986  0.0334  0.08
Badura 1965   83  0.2287  0.0080  0.0285  0.0286  0.0389  0.02
Barbosa 1983   87  0.1876  0.0075  0.0287  0.0286  0.0387  0.02
Biret 1990   23  0.4116  0.0030  0.0831  0.2477  0.0431  0.10
Blet 2003   64  0.3113  0.0053  0.0747  0.0781  0.0351  0.05
Block 1995   39  0.3752  0.0037  0.0538  0.1878  0.0341  0.07
Blumental 1952   51  0.348  0.0029  0.0728  0.2855  0.0424  0.11
Boshniakovich 1969   48  0.3517  0.0057  0.0460  0.0486  0.0380  0.03
Brailowsky 1960   6  0.5336  0.005  0.327  0.6810  0.575  0.62
Bunin 1987   57  0.3257  0.0066  0.0367  0.0376  0.0381  0.03
Bunin 1987b   61  0.3248  0.0065  0.0464  0.0474  0.0365  0.03
Chiu 1999   76  0.2580  0.0046  0.0648  0.0667  0.0449  0.05
Cohen 1997   65  0.3077  0.0034  0.0632  0.2327  0.278  0.25
Cortot 1951   59  0.3239  0.0081  0.0373  0.0376  0.0484  0.03
Csalog 1996   60  0.3258  0.0068  0.0379  0.0367  0.0474  0.03
Czerny 1949   50  0.346  0.0054  0.0552  0.0568  0.0457  0.04
Czerny 1990   35  0.3837  0.0033  0.0533  0.2387  0.0337  0.08
Duchoud 2007   73  0.2712  0.0084  0.0374  0.0372  0.0478  0.03
Ezaki 2006   16  0.4415  0.0016  0.1111  0.6046  0.0710  0.20
Falvay 1989   13  0.4527  0.0010  0.1212  0.5756  0.0612  0.18
Farrell 1958   47  0.3522  0.0045  0.0649  0.0687  0.0264  0.03
Ferenczy 1958   55  0.3332  0.0074  0.0366  0.0386  0.0288  0.02
Fliere 1977   21  0.4381  0.0025  0.0920  0.4086  0.0322  0.11
Fou 1978   17  0.4349  0.0014  0.109  0.6262  0.0513  0.18
Francois 1956   29  0.3964  0.0031  0.0630  0.2476  0.0339  0.08
Friedman 1923   86  0.2050  0.0086  0.0461  0.0458  0.0561  0.04
Friedman 1923b   84  0.2069  0.0085  0.0462  0.0481  0.0382  0.03
Friedman 1930   78  0.2565  0.0062  0.0369  0.0376  0.0475  0.03
Garcia 2007   72  0.2721  0.0082  0.0376  0.0386  0.0379  0.03
Garcia 2007b   80  0.2470  0.0060  0.0557  0.0574  0.0460  0.04
Gierzod 1998   15  0.4525  0.0023  0.0822  0.3762  0.0420  0.12
Gornostaeva 1994   7  0.5053  0.0012  0.1513  0.5665  0.0417  0.15
Groot 1988   22  0.4223  0.0015  0.1115  0.4780  0.0321  0.12
Harasiewicz 1955   52  0.3488  0.0026  0.0923  0.3684  0.0238  0.08
Hatto 1993   77  0.2589  0.0070  0.0382  0.0371  0.0483  0.03
Hatto 1997   70  0.2828  0.0056  0.0745  0.0783  0.0352  0.05
Horowitz 1949   36  0.3866  0.0041  0.0837  0.1979  0.0335  0.08
Indjic 1988   75  0.2578  0.0072  0.0377  0.0382  0.0373  0.03
Kapell 1951   37  0.3782  0.0055  0.0551  0.0587  0.0354  0.04
Kissin 1993   31  0.3933  0.0032  0.0639  0.1787  0.0244  0.06
Kushner 1989   14  0.4542  0.0021  0.0824  0.3284  0.0327  0.10
Luisada 1991   34  0.3883  0.0044  0.0643  0.1275  0.0440  0.07
Lushtak 2004   69  0.2929  0.0051  0.0554  0.0569  0.0458  0.04
Malcuzynski 1961   8  0.4810  0.0017  0.1618  0.4371  0.0323  0.11
Magaloff 1978   5  0.5343  0.006  0.256  0.6835  0.197  0.36
Magin 1975   18  0.4334  0.0019  0.0917  0.4672  0.0419  0.14
Michalowski 1933   82  0.237  0.0083  0.0383  0.0385  0.0371  0.03
Milkina 1970   10  0.4726  0.0013  0.1316  0.4667  0.0516  0.15
Mohovich 1999   19  0.4330  0.0020  0.1019  0.4286  0.0325  0.11
Moravec 1969   9  0.4811  0.008  0.1510  0.6025  0.306  0.42
Morozova 2008   53  0.3440  0.0043  0.0642  0.1485  0.0345  0.06
Neighaus 1950   49  0.3459  0.0061  0.0459  0.0477  0.0459  0.04
Niedzielski 1931   40  0.3760  0.0028  0.0727  0.2842  0.1014  0.17
Ohlsson 1999   54  0.3484  0.0063  0.0465  0.0487  0.0370  0.03
Osinska 1989   33  0.3844  0.0048  0.0650  0.0681  0.0447  0.05
Pachmann 1927   67  0.2935  0.0069  0.0370  0.0376  0.0468  0.03
Paderewski 1930   56  0.3290  0.0073  0.0380  0.0369  0.0467  0.03
Perlemuter 1992   58  0.325  0.0052  0.0553  0.0569  0.0453  0.04
Pierdomenico 2008   66  0.3018  0.0059  0.0463  0.0480  0.0363  0.03
Poblocka 1999   44  0.3679  0.0064  0.0368  0.0387  0.0362  0.03
Rabcewiczowa 1932   25  0.409  0.009  0.1921  0.4046  0.0715  0.17
Rachmaninoff 1923   11  0.4654  0.007  0.205  0.7046  0.0611  0.20
Rangell 2001   30  0.3967  0.0038  0.0541  0.1477  0.0346  0.06
Richter 1976   74  0.2661  0.0079  0.0288  0.0283  0.0386  0.02
Rosen 1989   20  0.4319  0.0022  0.0925  0.3185  0.0330  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   81  0.2468  0.0058  0.0558  0.0557  0.0548  0.05
Rubinstein 1939   38  0.3745  0.0040  0.0735  0.2053  0.0526  0.10
Rubinstein 1952   24  0.4071  0.0018  0.0914  0.4745  0.099  0.21
Rubinstein 1966   42  0.3651  0.0049  0.0556  0.0570  0.0456  0.04
Schilhawsky 1960   46  0.3520  0.0024  0.0729  0.2470  0.0428  0.10
Shebanova 2002   62  0.3172  0.0071  0.0375  0.0387  0.0377  0.03
Smith 1975   12  0.4555  0.0011  0.138  0.6570  0.0318  0.14
Sokolov 2002   27  0.3924  0.0035  0.0544  0.1176  0.0343  0.06
Sztompka 1959   71  0.2862  0.0077  0.0378  0.0380  0.0469  0.03
Tomsic 1995   63  0.3173  0.0067  0.0381  0.0381  0.0466  0.03
Uninsky 1932   79  0.2574  0.0078  0.0384  0.0379  0.0476  0.03
Uninsky 1971   68  0.2941  0.0076  0.0372  0.0378  0.0472  0.03
Wasowski 1980   85  0.2085  0.0087  0.0371  0.0387  0.0285  0.02
Zak 1937   45  0.3663  0.0050  0.0555  0.0581  0.0355  0.04
Zak 1951   41  0.3646  0.0047  0.0746  0.0785  0.0350  0.05
Random 1   89  -0.0275  0.0089  0.0289  0.028  0.3933  0.09
Random 2   88  0.0286  0.0088  0.0286  0.022  0.5529  0.10
Random 3   90  -0.0756  0.0090  0.0190  0.0189  0.0190  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).