Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   13  0.6278  0.0023  0.1318  0.4815  0.5018  0.49
Anderszewski 2003   69  0.4580  0.0069  0.0383  0.0364  0.0485  0.03
Ashkenazy 1981   5  0.664  0.045  0.255  0.691  0.705  0.69
Bacha 2000   46  0.5382  0.0052  0.0654  0.066  0.5442  0.18
Badura 1965   64  0.4973  0.0051  0.0652  0.0617  0.4049  0.15
Barbosa 1983   59  0.5050  0.0042  0.0543  0.1024  0.3741  0.19
Biret 1990   33  0.5559  0.0039  0.0637  0.1735  0.1846  0.17
Blet 2003   50  0.5258  0.0067  0.0747  0.0740  0.1259  0.09
Block 1995   43  0.5425  0.0047  0.0568  0.0516  0.4252  0.14
Blumental 1952   58  0.5068  0.0044  0.0544  0.1014  0.3443  0.18
Boshniakovich 1969   14  0.6254  0.0026  0.0927  0.3915  0.4727  0.43
Brailowsky 1960   63  0.4921  0.0070  0.0480  0.0439  0.2258  0.09
Bunin 1987   74  0.4217  0.0175  0.0571  0.0561  0.0573  0.05
Bunin 1987b   75  0.4152  0.0076  0.0572  0.0558  0.0570  0.05
Chiu 1999   15  0.6110  0.0111  0.156  0.601  0.776  0.68
Cohen 1997   79  0.4081  0.0078  0.0563  0.0530  0.2557  0.11
Cortot 1951   67  0.4643  0.0077  0.0477  0.0437  0.1662  0.08
Csalog 1996   44  0.5441  0.0032  0.1032  0.276  0.6328  0.41
Czerny 1949   66  0.4770  0.0061  0.0479  0.0457  0.0577  0.04
Czerny 1990   9  0.6414  0.0115  0.0812  0.5319  0.4023  0.46
Duchoud 2007   40  0.5435  0.0031  0.0931  0.293  0.6326  0.43
Ezaki 2006   36  0.5534  0.0055  0.0746  0.0764  0.0466  0.05
Falvay 1989   22  0.5960  0.0037  0.0635  0.1929  0.3437  0.25
Farrell 1958   62  0.4963  0.0071  0.0481  0.0453  0.0668  0.05
Ferenczy 1958   76  0.4186  0.0081  0.0653  0.0659  0.0472  0.05
Fliere 1977   3  0.703  0.063  0.293  0.721  0.702  0.71
Fou 1978   21  0.6048  0.0021  0.0916  0.4814  0.4521  0.46
Francois 1956   60  0.4961  0.0063  0.0385  0.0348  0.0582  0.04
Friedman 1923   83  0.3529  0.0080  0.0567  0.0572  0.0483  0.04
Friedman 1923b   82  0.3547  0.0079  0.0559  0.0545  0.0963  0.07
Friedman 1930   73  0.4246  0.0073  0.0649  0.0671  0.0471  0.05
Garcia 2007   72  0.4469  0.0068  0.0651  0.0611  0.4945  0.17
Garcia 2007b   71  0.4457  0.0056  0.0561  0.055  0.5647  0.17
Gierzod 1998   6  0.6518  0.006  0.177  0.591  0.607  0.59
Gornostaeva 1994   47  0.5366  0.0064  0.0475  0.0455  0.0479  0.04
Groot 1988   25  0.5838  0.0030  0.1129  0.3426  0.3731  0.35
Harasiewicz 1955   53  0.5145  0.0045  0.0476  0.0464  0.0480  0.04
Hatto 1993   41  0.5411  0.018  0.1511  0.557  0.589  0.56
Hatto 1997   57  0.5067  0.0019  0.0830  0.3225  0.2834  0.30
Horowitz 1949   56  0.5033  0.0058  0.0558  0.0514  0.5544  0.17
Indjic 1988   38  0.549  0.019  0.2113  0.537  0.5810  0.55
Kapell 1951   37  0.5539  0.0050  0.0555  0.0545  0.0669  0.05
Kissin 1993   1  0.741  0.511  0.501  0.821  0.831  0.82
Kushner 1989   2  0.7112  0.014  0.162  0.721  0.713  0.71
Luisada 1991   20  0.6032  0.0010  0.2015  0.5012  0.5314  0.51
Lushtak 2004   18  0.6027  0.0025  0.0923  0.4612  0.5119  0.48
Malcuzynski 1961   29  0.5719  0.0038  0.0640  0.1247  0.0660  0.08
Magaloff 1978   26  0.588  0.0133  0.0833  0.2426  0.2736  0.25
Magin 1975   30  0.5736  0.0020  0.0819  0.4810  0.5117  0.49
Michalowski 1933   70  0.4574  0.0057  0.0562  0.0520  0.3751  0.14
Milkina 1970   16  0.6155  0.0022  0.1120  0.4717  0.4424  0.45
Mohovich 1999   31  0.5726  0.0046  0.0473  0.0440  0.1661  0.08
Moravec 1969   54  0.5149  0.0059  0.0570  0.0519  0.3653  0.13
Morozova 2008   27  0.586  0.0313  0.0922  0.4610  0.4525  0.45
Neighaus 1950   8  0.6440  0.0016  0.079  0.567  0.5411  0.55
Niedzielski 1931   55  0.5022  0.0034  0.0834  0.207  0.5532  0.33
Ohlsson 1999   4  0.682  0.132  0.244  0.711  0.714  0.71
Osinska 1989   19  0.6042  0.0028  0.1025  0.4228  0.3929  0.40
Pachmann 1927   61  0.4930  0.0074  0.0560  0.0517  0.4648  0.15
Paderewski 1930   65  0.4776  0.0054  0.0748  0.0723  0.2850  0.14
Perlemuter 1992   34  0.5551  0.0043  0.0641  0.1213  0.4638  0.23
Pierdomenico 2008   42  0.5462  0.0040  0.0638  0.162  0.6333  0.32
Poblocka 1999   7  0.655  0.037  0.168  0.565  0.5312  0.54
Rabcewiczowa 1932   68  0.4687  0.0072  0.0564  0.0561  0.0567  0.05
Rachmaninoff 1923   78  0.4183  0.0062  0.0557  0.0581  0.0374  0.04
Rangell 2001   35  0.5516  0.0135  0.0836  0.1814  0.4335  0.28
Richter 1976   39  0.5423  0.0036  0.0642  0.1216  0.4339  0.23
Rosen 1989   10  0.6344  0.0017  0.1117  0.4810  0.5515  0.51
Rosenthal 1930   81  0.3684  0.0083  0.0478  0.0471  0.0386  0.03
Rosenthal 1931   86  0.3088  0.0087  0.0482  0.0459  0.0476  0.04
Rosenthal 1931b   85  0.3179  0.0085  0.0384  0.0376  0.0388  0.03
Rosenthal 1931c   80  0.3872  0.0082  0.0569  0.0578  0.0381  0.04
Rosenthal 1931d   84  0.3190  0.0086  0.0387  0.0375  0.0387  0.03
Rossi 2007   87  0.2956  0.0084  0.0386  0.0381  0.0384  0.03
Rubinstein 1939   77  0.4177  0.0060  0.0474  0.0420  0.3455  0.12
Rubinstein 1952   24  0.5931  0.0029  0.1521  0.478  0.6013  0.53
Rubinstein 1966   23  0.5928  0.0024  0.0924  0.4218  0.5022  0.46
Schilhawsky 1960   49  0.5215  0.0141  0.0439  0.1530  0.3340  0.22
Shebanova 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Smith 1975   52  0.5185  0.0065  0.0556  0.0575  0.0375  0.04
Sokolov 2002   51  0.5253  0.0066  0.0745  0.0753  0.0664  0.06
Sztompka 1959   12  0.627  0.0214  0.0728  0.3817  0.3930  0.38
Tomsic 1995   32  0.5620  0.0048  0.0565  0.0520  0.3354  0.13
Uninsky 1932   48  0.5365  0.0049  0.0566  0.0528  0.2956  0.12
Uninsky 1971   45  0.5437  0.0053  0.0650  0.0652  0.0665  0.06
Wasowski 1980   28  0.5813  0.0127  0.1126  0.408  0.5220  0.46
Zak 1937   11  0.6324  0.0012  0.1410  0.556  0.628  0.58
Zak 1951   17  0.6064  0.0018  0.0814  0.5111  0.4916  0.50
Random 1   89  -0.0489  0.0088  0.0188  0.0135  0.1578  0.04
Random 2   90  -0.0571  0.0090  0.0190  0.0173  0.0290  0.01
Random 3   88  -0.0275  0.0089  0.0189  0.0162  0.0389  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).