Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   34  0.5578  0.0037  0.0640  0.1750  0.0655  0.10
Anderszewski 2003   17  0.592  0.134  0.213  0.543  0.603  0.57
Ashkenazy 1981   40  0.5563  0.0023  0.0622  0.3723  0.4124  0.39
Bacha 2000   71  0.4650  0.0059  0.0473  0.0428  0.3548  0.12
Badura 1965   80  0.3947  0.0060  0.0476  0.0467  0.0479  0.04
Barbosa 1983   55  0.5128  0.0032  0.0831  0.286  0.5822  0.40
Biret 1990   15  0.6059  0.0019  0.0914  0.418  0.5414  0.47
Blet 2003   30  0.5621  0.0038  0.0637  0.215  0.5232  0.33
Block 1995   70  0.4738  0.0065  0.0469  0.0431  0.2157  0.09
Blumental 1952   65  0.4814  0.0111  0.1129  0.315  0.4626  0.38
Boshniakovich 1969   59  0.5069  0.0072  0.0556  0.0556  0.0574  0.05
Brailowsky 1960   72  0.4467  0.0081  0.0465  0.0448  0.0767  0.05
Bunin 1987   22  0.5840  0.0033  0.1126  0.346  0.5517  0.43
Bunin 1987b   21  0.5848  0.0024  0.0619  0.396  0.5612  0.47
Chiu 1999   76  0.4258  0.0067  0.0459  0.0435  0.2451  0.10
Cohen 1997   85  0.3181  0.0084  0.0464  0.0460  0.0481  0.04
Cortot 1951   44  0.5466  0.0017  0.1127  0.327  0.5918  0.43
Csalog 1996   33  0.559  0.0253  0.0462  0.048  0.6242  0.16
Czerny 1949   6  0.6124  0.007  0.126  0.5113  0.557  0.53
Czerny 1990   2  0.684  0.073  0.201  0.612  0.751  0.68
Duchoud 2007   32  0.5556  0.0034  0.0834  0.2413  0.4633  0.33
Ezaki 2006   19  0.5951  0.0026  0.0715  0.4018  0.4321  0.41
Falvay 1989   49  0.5355  0.0064  0.0475  0.0441  0.1462  0.07
Farrell 1958   54  0.5118  0.0145  0.0460  0.0413  0.4347  0.13
Ferenczy 1958   7  0.6183  0.0013  0.0811  0.441  0.664  0.54
Fliere 1977   5  0.6211  0.0212  0.1020  0.3938  0.2634  0.32
Fou 1978   60  0.4917  0.0156  0.0458  0.0464  0.0577  0.04
Francois 1956   29  0.5665  0.0049  0.0461  0.0429  0.3750  0.12
Friedman 1923   86  0.3168  0.0076  0.0480  0.0463  0.0587  0.04
Friedman 1923b   84  0.3175  0.0075  0.0477  0.0471  0.0482  0.04
Friedman 1930   75  0.4327  0.0061  0.0468  0.0424  0.3649  0.12
Garcia 2007   73  0.4445  0.0058  0.0471  0.044  0.6243  0.16
Garcia 2007b   78  0.4177  0.0043  0.0543  0.109  0.4941  0.22
Gierzod 1998   18  0.5984  0.0028  0.0818  0.3929  0.3923  0.39
Gornostaeva 1994   39  0.5542  0.0066  0.0552  0.0542  0.1260  0.08
Groot 1988   45  0.5432  0.0063  0.0470  0.0458  0.0484  0.04
Harasiewicz 1955   35  0.555  0.055  0.185  0.5314  0.4710  0.50
Hatto 1993   63  0.4915  0.0115  0.0930  0.3014  0.3930  0.34
Hatto 1997   46  0.5310  0.029  0.1417  0.397  0.4916  0.44
Horowitz 1949   68  0.4771  0.0077  0.0463  0.0447  0.0670  0.05
Indjic 1988   56  0.5174  0.0014  0.0928  0.3214  0.4128  0.36
Kapell 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kissin 1993   48  0.5353  0.0068  0.0382  0.0347  0.0771  0.05
Kushner 1989   9  0.6146  0.0030  0.0821  0.3830  0.2831  0.33
Luisada 1991   51  0.5144  0.0057  0.0474  0.0446  0.0863  0.06
Lushtak 2004   25  0.5716  0.0110  0.158  0.483  0.598  0.53
Malcuzynski 1961   12  0.6019  0.0129  0.0835  0.2322  0.3238  0.27
Magaloff 1978   58  0.5041  0.0073  0.0546  0.0558  0.0568  0.05
Magin 1975   61  0.4960  0.0071  0.0554  0.0565  0.0476  0.04
Michalowski 1933   66  0.4770  0.0021  0.1032  0.2810  0.4727  0.36
Milkina 1970   24  0.5736  0.0052  0.0547  0.0547  0.0765  0.06
Mohovich 1999   20  0.5957  0.0035  0.0633  0.2528  0.3536  0.30
Moravec 1969   14  0.6012  0.0142  0.0642  0.127  0.6037  0.27
Morozova 2008   57  0.5122  0.0039  0.0639  0.1843  0.1245  0.15
Neighaus 1950   50  0.5286  0.0048  0.0457  0.0456  0.0585  0.04
Niedzielski 1931   53  0.5120  0.0162  0.0478  0.0418  0.4546  0.13
Ohlsson 1999   23  0.5861  0.0020  0.0823  0.3728  0.3429  0.35
Osinska 1989   10  0.6125  0.0025  0.0616  0.3921  0.4619  0.42
Pachmann 1927   79  0.4064  0.0083  0.0383  0.0352  0.0678  0.04
Paderewski 1930   42  0.5485  0.0046  0.0553  0.055  0.4744  0.15
Perlemuter 1992   67  0.4790  0.0070  0.0550  0.0556  0.0566  0.05
Pierdomenico 2008   74  0.4343  0.0074  0.0381  0.0350  0.0769  0.05
Poblocka 1999   1  0.711  0.321  0.312  0.592  0.662  0.62
Rabcewiczowa 1932   16  0.5962  0.0022  0.0813  0.424  0.5611  0.48
Rachmaninoff 1923   62  0.4926  0.0044  0.0544  0.0940  0.1152  0.10
Rangell 2001   47  0.537  0.0351  0.0551  0.0537  0.1956  0.10
Richter 1976   37  0.5537  0.0040  0.0638  0.197  0.5535  0.32
Rosen 1989   43  0.5452  0.0050  0.0467  0.0460  0.0580  0.04
Rosenthal 1930   64  0.4972  0.0078  0.0549  0.0552  0.0673  0.05
Rosenthal 1931   82  0.3787  0.0085  0.0386  0.0354  0.0488  0.03
Rosenthal 1931b   83  0.3589  0.0087  0.0472  0.0460  0.0486  0.04
Rosenthal 1931c   69  0.4780  0.0079  0.0479  0.0442  0.1661  0.08
Rosenthal 1931d   81  0.3773  0.0086  0.0387  0.0351  0.0583  0.04
Rossi 2007   87  0.2729  0.0082  0.0385  0.0330  0.2159  0.08
Rubinstein 1939   77  0.4230  0.0080  0.0384  0.0341  0.1264  0.06
Rubinstein 1952   52  0.516  0.0555  0.0548  0.0558  0.0575  0.05
Rubinstein 1966   41  0.548  0.0254  0.0466  0.0435  0.2654  0.10
Schilhawsky 1960   8  0.6134  0.008  0.149  0.475  0.589  0.52
Shebanova 2002   38  0.5535  0.0047  0.0645  0.0655  0.0572  0.05
Smith 1975   26  0.5779  0.0031  0.0824  0.3720  0.3925  0.38
Sokolov 2002   11  0.6154  0.0027  0.0810  0.459  0.4715  0.46
Sztompka 1959   3  0.643  0.102  0.214  0.548  0.536  0.53
Tomsic 1995   36  0.5539  0.0069  0.0555  0.0537  0.2053  0.10
Uninsky 1932   31  0.5531  0.0016  0.0825  0.3613  0.5020  0.42
Uninsky 1971   4  0.6333  0.006  0.167  0.4810  0.4713  0.47
Wasowski 1980   13  0.6013  0.0118  0.1012  0.441  0.635  0.53
Zak 1937   27  0.5723  0.0041  0.0641  0.1631  0.2940  0.22
Zak 1951   28  0.5649  0.0036  0.0636  0.2131  0.2839  0.24
Random 1   90  -0.0982  0.0089  0.0189  0.0168  0.0390  0.02
Random 2   89  -0.0476  0.0090  0.0190  0.0152  0.0589  0.02
Random 3   88  -0.0288  0.0088  0.0288  0.0213  0.4158  0.09

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).