Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   34  0.5548  0.0036  0.0934  0.2838  0.2840  0.28
Anderszewski 2003   23  0.5866  0.0024  0.0722  0.4214  0.4922  0.45
Ashkenazy 1981   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bacha 2000   30  0.5550  0.0050  0.0553  0.053  0.6645  0.18
Badura 1965   48  0.5112  0.0140  0.0636  0.2412  0.5132  0.35
Barbosa 1983   73  0.4475  0.0070  0.0555  0.0564  0.0576  0.05
Biret 1990   28  0.5565  0.0043  0.0640  0.1932  0.2442  0.21
Blet 2003   56  0.4973  0.0067  0.0554  0.0532  0.1959  0.10
Block 1995   68  0.4578  0.0069  0.0551  0.0535  0.1961  0.10
Blumental 1952   22  0.5831  0.0027  0.0735  0.265  0.4733  0.35
Boshniakovich 1969   31  0.5557  0.0044  0.0645  0.1433  0.2744  0.19
Brailowsky 1960   71  0.4433  0.0081  0.0461  0.0447  0.0869  0.06
Bunin 1987   44  0.5285  0.0051  0.0647  0.0616  0.4546  0.16
Bunin 1987b   51  0.5176  0.0052  0.0467  0.0417  0.4349  0.13
Chiu 1999   37  0.5437  0.0039  0.0738  0.2216  0.4837  0.32
Cohen 1997   79  0.4220  0.0082  0.0468  0.0441  0.1964  0.09
Cortot 1951   64  0.4684  0.0068  0.0458  0.0420  0.4050  0.13
Csalog 1996   87  0.3591  0.0079  0.0382  0.0363  0.0488  0.03
Czerny 1949   62  0.4888  0.0055  0.0473  0.0456  0.0585  0.04
Czerny 1990   20  0.5834  0.0026  0.0729  0.3728  0.2936  0.33
Duchoud 2007   18  0.6025  0.0018  0.0818  0.443  0.7011  0.55
Ezaki 2006   19  0.5929  0.0033  0.0737  0.2340  0.1941  0.21
Falvay 1989   58  0.495  0.0149  0.0550  0.0556  0.0675  0.05
Farrell 1958   60  0.4826  0.0075  0.0469  0.0464  0.0584  0.04
Ferenczy 1958   82  0.3962  0.0071  0.0379  0.0344  0.1373  0.06
Fliere 1977   11  0.6356  0.0016  0.1515  0.5120  0.4717  0.49
Fou 1978   14  0.627  0.017  0.1117  0.4811  0.4818  0.48
Francois 1956   77  0.4352  0.0057  0.0462  0.0438  0.2362  0.10
Friedman 1923   67  0.4544  0.0065  0.0474  0.0416  0.4151  0.13
Friedman 1923b   65  0.4619  0.0054  0.0464  0.0413  0.4748  0.14
Friedman 1930   53  0.5146  0.0042  0.0642  0.178  0.5538  0.31
Garcia 2007   80  0.4167  0.0078  0.0381  0.0334  0.2167  0.08
Garcia 2007b   72  0.4439  0.0072  0.0472  0.0423  0.3254  0.11
Gierzod 1998   13  0.6247  0.0012  0.1113  0.5313  0.5214  0.52
Gornostaeva 1994   61  0.4872  0.0061  0.0380  0.0360  0.0489  0.03
Groot 1988   52  0.5132  0.0046  0.0552  0.0548  0.0678  0.05
Harasiewicz 1955   26  0.5749  0.0017  0.1414  0.5225  0.4020  0.46
Hatto 1993   8  0.652  0.035  0.185  0.644  0.655  0.64
Hatto 1997   12  0.6336  0.009  0.119  0.554  0.5413  0.54
Horowitz 1949   32  0.5515  0.0137  0.0833  0.287  0.6325  0.42
Indjic 1988   5  0.6521  0.006  0.243  0.654  0.664  0.65
Kapell 1951   33  0.5513  0.0129  0.0724  0.4123  0.3730  0.39
Kissin 1993   10  0.643  0.028  0.157  0.6213  0.598  0.60
Kushner 1989   9  0.6442  0.0015  0.138  0.586  0.637  0.60
Luisada 1991   6  0.6522  0.0013  0.1110  0.554  0.639  0.59
Lushtak 2004   27  0.5738  0.0030  0.0626  0.3921  0.4626  0.42
Malcuzynski 1961   41  0.526  0.0138  0.0844  0.1527  0.2843  0.20
Magaloff 1978   43  0.5269  0.0047  0.0746  0.0750  0.0570  0.06
Magin 1975   4  0.6623  0.003  0.194  0.652  0.713  0.68
Michalowski 1933   42  0.5227  0.0019  0.0825  0.412  0.7012  0.54
Milkina 1970   39  0.5345  0.0048  0.0649  0.0655  0.0671  0.06
Mohovich 1999   49  0.5160  0.0058  0.0648  0.0657  0.0674  0.06
Moravec 1969   63  0.4780  0.0056  0.0476  0.0423  0.3353  0.11
Morozova 2008   15  0.6228  0.0014  0.1316  0.507  0.5116  0.50
Neighaus 1950   16  0.6153  0.0011  0.1211  0.5410  0.5115  0.52
Niedzielski 1931   70  0.458  0.0128  0.0639  0.2211  0.5234  0.34
Ohlsson 1999   2  0.6810  0.012  0.186  0.633  0.646  0.63
Osinska 1989   55  0.4970  0.0066  0.0463  0.0479  0.0480  0.04
Pachmann 1927   86  0.3682  0.0086  0.0289  0.0256  0.0587  0.03
Paderewski 1930   57  0.4968  0.0064  0.0383  0.0316  0.3257  0.10
Perlemuter 1992   50  0.5164  0.0053  0.0460  0.0430  0.2555  0.10
Pierdomenico 2008   66  0.4654  0.0073  0.0377  0.0324  0.3256  0.10
Poblocka 1999   29  0.5579  0.0020  0.0820  0.4217  0.4127  0.41
Rabcewiczowa 1932   74  0.4386  0.0074  0.0471  0.0456  0.0583  0.04
Rachmaninoff 1923   45  0.524  0.0222  0.0719  0.4311  0.4821  0.45
Rangell 2001   69  0.4581  0.0076  0.0457  0.0448  0.0677  0.05
Richter 1976   40  0.5317  0.0141  0.0741  0.1814  0.4739  0.29
Rosen 1989   35  0.5458  0.0045  0.0843  0.1741  0.1447  0.15
Rosenthal 1930   76  0.4359  0.0077  0.0384  0.0329  0.3160  0.10
Rosenthal 1931   84  0.3674  0.0084  0.0386  0.0333  0.3158  0.10
Rosenthal 1931b   83  0.3751  0.0083  0.0378  0.0332  0.3065  0.09
Rosenthal 1931c   75  0.4355  0.0080  0.0465  0.0439  0.2066  0.09
Rosenthal 1931d   85  0.3687  0.0085  0.0387  0.0341  0.1668  0.07
Rossi 2007   88  0.2983  0.0088  0.0466  0.0470  0.0481  0.04
Rubinstein 1939   81  0.3940  0.0087  0.0470  0.0452  0.0582  0.04
Rubinstein 1952   78  0.4314  0.0159  0.0475  0.0455  0.0586  0.04
Rubinstein 1966   46  0.5241  0.0060  0.0459  0.0451  0.0872  0.06
Schilhawsky 1960   38  0.5324  0.0034  0.0728  0.3822  0.4824  0.43
Shebanova 2002   3  0.6618  0.004  0.202  0.706  0.692  0.69
Smith 1975   25  0.5771  0.0031  0.0831  0.3417  0.4331  0.38
Sokolov 2002   17  0.6016  0.0123  0.0630  0.369  0.4728  0.41
Sztompka 1959   7  0.659  0.0110  0.1212  0.545  0.5610  0.55
Tomsic 1995   59  0.4863  0.0062  0.0556  0.0540  0.1563  0.09
Uninsky 1932   36  0.5411  0.0125  0.0823  0.4212  0.5119  0.46
Uninsky 1971   47  0.5230  0.0035  0.0832  0.3426  0.3435  0.34
Wasowski 1980   54  0.4943  0.0063  0.0385  0.0353  0.0579  0.04
Zak 1937   21  0.5861  0.0032  0.0827  0.3820  0.4429  0.41
Zak 1951   24  0.5735  0.0021  0.0721  0.4220  0.4523  0.43
Average   1  0.771  0.761  0.761  0.886  0.571  0.71
Random 1   91  -0.0777  0.0091  0.0191  0.0170  0.0391  0.02
Random 2   90  -0.0489  0.0090  0.0190  0.0161  0.0490  0.02
Random 3   89  0.0390  0.0089  0.0388  0.034  0.5052  0.12

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).