Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   23  0.5251  0.0041  0.0839  0.2364  0.0442  0.10
Anderszewski 2003   34  0.4940  0.0020  0.0923  0.3941  0.1322  0.23
Ashkenazy 1981   22  0.5315  0.0114  0.0714  0.4741  0.1818  0.29
Bacha 2000   80  0.3083  0.0078  0.0373  0.0380  0.0372  0.03
Badura 1965   38  0.4826  0.0033  0.0630  0.3237  0.2717  0.29
Barbosa 1983   66  0.4069  0.0065  0.0470  0.0484  0.0466  0.04
Biret 1990   74  0.3684  0.0074  0.0472  0.0489  0.0284  0.03
Blet 2003   32  0.5057  0.0055  0.0747  0.0766  0.0455  0.05
Block 1995   13  0.5525  0.0021  0.1228  0.3526  0.2715  0.31
Blumental 1952   88  0.2482  0.0084  0.0286  0.0278  0.0389  0.02
Boshniakovich 1969   7  0.5814  0.018  0.147  0.5817  0.465  0.52
Brailowsky 1960   57  0.4264  0.0069  0.0651  0.0669  0.0453  0.05
Bunin 1987   21  0.5318  0.0110  0.1213  0.4813  0.499  0.48
Bunin 1987b   24  0.5249  0.009  0.1112  0.4813  0.498  0.48
Chiu 1999   60  0.4143  0.0049  0.0648  0.0645  0.1047  0.08
Cohen 1997   87  0.2553  0.0082  0.0383  0.0377  0.0482  0.03
Cortot 1951   54  0.4460  0.0054  0.0649  0.0673  0.0458  0.05
Csalog 1996   64  0.4029  0.0048  0.0555  0.0543  0.1448  0.08
Czerny 1949   42  0.4772  0.0037  0.0643  0.1655  0.0641  0.10
Czerny 1990   20  0.5322  0.0036  0.0638  0.2366  0.0444  0.10
Duchoud 2007   51  0.4486  0.0044  0.0842  0.1642  0.1530  0.15
Ezaki 2006   30  0.5079  0.0045  0.0844  0.1578  0.0446  0.08
Falvay 1989   59  0.4239  0.0073  0.0467  0.0485  0.0376  0.03
Farrell 1958   72  0.3666  0.0075  0.0466  0.0471  0.0462  0.04
Ferenczy 1958   62  0.4190  0.0071  0.0652  0.0653  0.0456  0.05
Fliere 1977   2  0.645  0.074  0.202  0.7031  0.394  0.52
Fou 1978   27  0.5247  0.0038  0.0637  0.2557  0.0537  0.11
Francois 1956   75  0.3489  0.0083  0.0382  0.0361  0.0486  0.03
Friedman 1923   81  0.3028  0.0077  0.0374  0.0350  0.0671  0.04
Friedman 1923b   78  0.3020  0.0076  0.0561  0.0552  0.0557  0.05
Friedman 1930   71  0.3734  0.0061  0.0378  0.0374  0.0479  0.03
Garcia 2007   65  0.4030  0.0051  0.0556  0.0531  0.2143  0.10
Garcia 2007b   77  0.3036  0.0062  0.0468  0.0480  0.0387  0.03
Gierzod 1998   41  0.4765  0.0043  0.0741  0.1780  0.0351  0.07
Gornostaeva 1994   53  0.4476  0.0067  0.0377  0.0361  0.0483  0.03
Groot 1988   28  0.5131  0.0032  0.0732  0.3045  0.1027  0.17
Harasiewicz 1955   5  0.622  0.182  0.266  0.5921  0.446  0.51
Hatto 1993   52  0.4417  0.0116  0.0716  0.4561  0.0531  0.15
Hatto 1997   63  0.4163  0.0029  0.0835  0.2751  0.0636  0.13
Horowitz 1949   15  0.5559  0.0011  0.1311  0.5012  0.583  0.54
Indjic 1988   55  0.4419  0.0017  0.0919  0.4269  0.0534  0.14
Kapell 1951   14  0.558  0.057  0.138  0.5539  0.1914  0.32
Kissin 1993   3  0.634  0.086  0.214  0.6225  0.407  0.50
Kushner 1989   9  0.5613  0.0122  0.0927  0.3664  0.0535  0.13
Luisada 1991   43  0.4752  0.0059  0.0563  0.0583  0.0359  0.04
Lushtak 2004   31  0.5021  0.0040  0.0833  0.2975  0.0438  0.11
Malcuzynski 1961   12  0.5561  0.0019  0.0821  0.4040  0.1720  0.26
Magaloff 1978   39  0.4738  0.0047  0.0650  0.0677  0.0454  0.05
Magin 1975   8  0.5710  0.0213  0.1310  0.5324  0.3510  0.43
Michalowski 1933   67  0.4054  0.0046  0.0746  0.0747  0.0850  0.07
Milkina 1970   47  0.4648  0.0056  0.0562  0.0577  0.0463  0.04
Mohovich 1999   40  0.4737  0.0052  0.0653  0.0678  0.0368  0.04
Moravec 1969   73  0.3670  0.0081  0.0385  0.0370  0.0473  0.03
Morozova 2008   16  0.5555  0.0024  0.0926  0.3745  0.1024  0.19
Neighaus 1950   35  0.4945  0.0042  0.0934  0.2870  0.0439  0.11
Niedzielski 1931   44  0.4624  0.0034  0.0636  0.2629  0.3119  0.28
Ohlsson 1999   36  0.4823  0.0030  0.0825  0.3746  0.0825  0.17
Osinska 1989   46  0.4650  0.0060  0.0376  0.0387  0.0374  0.03
Pachmann 1927   37  0.4833  0.0050  0.0557  0.0517  0.4629  0.15
Paderewski 1930   56  0.4367  0.0064  0.0471  0.0471  0.0465  0.04
Perlemuter 1992   25  0.5287  0.0039  0.0631  0.3137  0.2021  0.25
Pierdomenico 2008   61  0.4135  0.0070  0.0554  0.0570  0.0461  0.04
Poblocka 1999   4  0.633  0.105  0.273  0.659  0.502  0.57
Rabcewiczowa 1932   82  0.2944  0.0085  0.0288  0.0269  0.0477  0.03
Rachmaninoff 1923   48  0.4574  0.0035  0.0640  0.1959  0.0540  0.10
Rangell 2001   69  0.3978  0.0063  0.0469  0.0468  0.0469  0.04
Richter 1976   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosen 1989   49  0.4427  0.0066  0.0375  0.0376  0.0380  0.03
Rosenthal 1930   58  0.4273  0.0053  0.0559  0.0544  0.1349  0.08
Rosenthal 1931   83  0.2980  0.0080  0.0381  0.0375  0.0378  0.03
Rosenthal 1931b   85  0.2791  0.0086  0.0287  0.0267  0.0391  0.02
Rosenthal 1931c   76  0.3368  0.0079  0.0380  0.0370  0.0485  0.03
Rosenthal 1931d   86  0.2681  0.0087  0.0384  0.0389  0.0290  0.02
Rossi 2007   84  0.2788  0.0088  0.0379  0.0365  0.0475  0.03
Rubinstein 1939   79  0.3011  0.0115  0.0745  0.1279  0.0352  0.06
Rubinstein 1952   70  0.3812  0.0157  0.0464  0.0457  0.0570  0.04
Rubinstein 1966   68  0.4056  0.0072  0.0465  0.0480  0.0467  0.04
Schilhawsky 1960   6  0.601  0.221  0.225  0.627  0.581  0.60
Shebanova 2002   18  0.547  0.0527  0.1117  0.4343  0.1223  0.23
Smith 1975   50  0.4477  0.0068  0.0560  0.0585  0.0360  0.04
Sokolov 2002   26  0.5216  0.0118  0.0722  0.4035  0.2116  0.29
Sztompka 1959   11  0.569  0.0226  0.0820  0.4155  0.0628  0.16
Tomsic 1995   45  0.4641  0.0058  0.0558  0.0576  0.0464  0.04
Uninsky 1932   19  0.5342  0.0025  0.0918  0.4332  0.2613  0.33
Uninsky 1971   10  0.5658  0.0012  0.189  0.5427  0.3411  0.43
Wasowski 1980   17  0.5432  0.0023  0.0815  0.4525  0.3012  0.37
Zak 1937   33  0.4962  0.0031  0.0629  0.3550  0.0632  0.14
Zak 1951   29  0.5175  0.0028  0.0924  0.3961  0.0533  0.14
Average   1  0.666  0.063  0.161  0.7173  0.0426  0.17
Random 1   90  -0.0446  0.0089  0.0289  0.0210  0.3845  0.09
Random 2   91  -0.0785  0.0091  0.0191  0.0150  0.0588  0.02
Random 3   89  -0.0471  0.0090  0.0190  0.0143  0.0781  0.03

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).