Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   38  -0.0219  0.0115  0.0713  0.4089  0.0215  0.09
Anderszewski 2003   62  -0.0542  0.0066  0.0366  0.0391  0.0162  0.02
Ashkenazy 1981   50  -0.0482  0.0062  0.0461  0.0490  0.0168  0.02
Bacha 2000   42  -0.0263  0.0036  0.0539  0.1589  0.0230  0.05
Badura 1965   47  -0.0464  0.0043  0.0640  0.1391  0.0143  0.04
Barbosa 1983   14  0.0012  0.0312  0.0827  0.2789  0.0134  0.05
Biret 1990   13  0.0125  0.0021  0.0718  0.3588  0.0224  0.08
Blet 2003   88  -0.0987  0.0087  0.0277  0.0291  0.0183  0.01
Block 1995   85  -0.0852  0.0085  0.0281  0.0291  0.0186  0.01
Blumental 1952   24  0.0059  0.0035  0.0735  0.2089  0.0228  0.06
Boshniakovich 1969   80  -0.0846  0.0070  0.0368  0.0391  0.0166  0.02
Brailowsky 1960   49  -0.0413  0.0316  0.0730  0.2490  0.0225  0.07
Bunin 1987   37  -0.0218  0.0132  0.0729  0.2489  0.0136  0.05
Bunin 1987b   34  -0.0167  0.0031  0.0528  0.2689  0.0132  0.05
Chiu 1999   48  -0.0473  0.0058  0.0549  0.0590  0.0156  0.02
Cohen 1997   7  0.0223  0.0130  0.0626  0.2890  0.0135  0.05
Cortot 1951   15  0.0027  0.0034  0.0633  0.2291  0.0137  0.05
Csalog 1996   87  -0.0966  0.0081  0.0284  0.0291  0.0182  0.01
Czerny 1949   12  0.0111  0.037  0.098  0.4589  0.0214  0.09
Czerny 1990   32  -0.0143  0.0051  0.0556  0.0589  0.0253  0.03
Duchoud 2007   53  -0.0414  0.0239  0.0637  0.1890  0.0142  0.04
Ezaki 2006   30  -0.0124  0.0124  0.0719  0.3490  0.0218  0.08
Falvay 1989   71  -0.0771  0.0075  0.0275  0.0289  0.0174  0.01
Farrell 1958   9  0.0116  0.0113  0.1120  0.3489  0.0221  0.08
Ferenczy 1958   84  -0.0880  0.0061  0.0363  0.0390  0.0164  0.02
Fliere 1977   83  -0.0870  0.0086  0.0283  0.0290  0.0172  0.01
Fou 1978   74  -0.0781  0.0084  0.0285  0.0291  0.0177  0.01
Francois 1956   36  -0.0236  0.0037  0.0638  0.1789  0.0229  0.06
Friedman 1923   69  -0.0683  0.0077  0.0280  0.0290  0.0191  0.01
Friedman 1923b   67  -0.0688  0.0078  0.0278  0.0290  0.0187  0.01
Friedman 1930   39  -0.0249  0.0050  0.0547  0.0589  0.0251  0.03
Garcia 2007   77  -0.0758  0.0082  0.0279  0.0290  0.0185  0.01
Garcia 2007b   65  -0.0633  0.0060  0.0362  0.0391  0.0170  0.02
Gierzod 1998   17  0.0044  0.0027  0.0714  0.4090  0.0216  0.09
Gornostaeva 1994   72  -0.0726  0.0055  0.0459  0.0491  0.0169  0.02
Groot 1988   78  -0.0777  0.0089  0.0287  0.0291  0.0188  0.01
Harasiewicz 1955   68  -0.0661  0.0068  0.0276  0.0290  0.0190  0.01
Hatto 1993   1  0.0353  0.009  0.136  0.4788  0.035  0.12
Hatto 1997   2  0.031  0.171  0.171  0.5789  0.033  0.13
Horowitz 1949   11  0.0135  0.0019  0.0717  0.3587  0.038  0.10
Indjic 1988   3  0.0350  0.008  0.085  0.4889  0.034  0.12
Kapell 1951   56  -0.0431  0.0059  0.0553  0.0591  0.0158  0.02
Kissin 1993   59  -0.0556  0.0048  0.0546  0.0590  0.0249  0.03
Kushner 1989   70  -0.0765  0.0076  0.0282  0.0291  0.0178  0.01
Luisada 1991   46  -0.0451  0.0045  0.0445  0.0889  0.0239  0.04
Lushtak 2004   52  -0.0420  0.0153  0.0555  0.0589  0.0252  0.03
Malcuzynski 1961   64  -0.0547  0.0074  0.0367  0.0391  0.0159  0.02
Magaloff 1978   23  0.0017  0.0129  0.0632  0.2389  0.0226  0.07
Magin 1975   63  -0.0590  0.0056  0.0554  0.0590  0.0157  0.02
Michalowski 1933   31  -0.0168  0.0041  0.0441  0.1389  0.0140  0.04
Milkina 1970   19  0.0040  0.0033  0.0523  0.3089  0.0222  0.08
Mohovich 1999   61  -0.0555  0.0071  0.0271  0.0289  0.0267  0.02
Moravec 1969   16  0.004  0.064  0.083  0.5089  0.027  0.10
Morozova 2008   21  0.0029  0.0023  0.0712  0.4189  0.0212  0.09
Neighaus 1950   82  -0.0889  0.0088  0.0190  0.0191  0.0189  0.01
Niedzielski 1931   45  -0.0354  0.0049  0.0457  0.0489  0.0247  0.03
Ohlsson 1999   51  -0.0479  0.0063  0.0460  0.0490  0.0161  0.02
Osinska 1989   43  -0.0328  0.0042  0.0543  0.1289  0.0231  0.05
Pachmann 1927   58  -0.0521  0.0128  0.0631  0.2389  0.0133  0.05
Paderewski 1930   33  -0.018  0.0517  0.0724  0.3089  0.0223  0.08
Perlemuter 1992   91  -0.1141  0.0090  0.0189  0.0191  0.0173  0.01
Pierdomenico 2008   79  -0.0862  0.0069  0.0274  0.0290  0.0176  0.01
Poblocka 1999   54  -0.0457  0.0052  0.0552  0.0589  0.0245  0.03
Rabcewiczowa 1932   4  0.027  0.0514  0.0721  0.3489  0.0220  0.08
Rachmaninoff 1923   20  0.0039  0.0025  0.0722  0.3189  0.0219  0.08
Rangell 2001   25  0.006  0.0526  0.0636  0.1990  0.0144  0.04
Richter 1976   76  -0.0774  0.0054  0.0550  0.0591  0.0160  0.02
Rosen 1989   66  -0.0684  0.0064  0.0364  0.0390  0.0165  0.02
Rosenthal 1930   8  0.015  0.065  0.0810  0.4389  0.0217  0.09
Rosenthal 1931   22  0.0045  0.0018  0.077  0.4587  0.0210  0.09
Rosenthal 1931b   18  0.0015  0.0211  0.114  0.4881  0.029  0.10
Rosenthal 1931c   29  -0.0178  0.0040  0.0542  0.1389  0.0238  0.05
Rosenthal 1931d   6  0.029  0.043  0.092  0.5687  0.026  0.11
Rossi 2007   90  -0.1060  0.0065  0.0365  0.0391  0.0155  0.02
Rubinstein 1939   41  -0.0238  0.0057  0.0458  0.0490  0.0246  0.03
Rubinstein 1952   35  -0.0176  0.0046  0.0548  0.0589  0.0254  0.03
Rubinstein 1966   40  -0.0248  0.0047  0.0551  0.0589  0.0250  0.03
Schilhawsky 1960   27  -0.0134  0.0020  0.0715  0.3988  0.0211  0.09
Shebanova 2002   57  -0.0572  0.0073  0.0269  0.0291  0.0184  0.01
Smith 1975   89  -0.0969  0.0083  0.0288  0.0291  0.0175  0.01
Sokolov 2002   10  0.0132  0.0022  0.0716  0.3990  0.0127  0.06
Sztompka 1959   55  -0.0485  0.0067  0.0270  0.0291  0.0181  0.01
Tomsic 1995   75  -0.0722  0.0144  0.0544  0.1091  0.0148  0.03
Uninsky 1932   28  -0.013  0.0610  0.0811  0.4189  0.0213  0.09
Uninsky 1971   44  -0.0337  0.0038  0.0634  0.2089  0.0141  0.04
Wasowski 1980   86  -0.0830  0.0091  0.0191  0.0191  0.0171  0.01
Zak 1937   81  -0.0886  0.0079  0.0286  0.0289  0.0179  0.01
Zak 1951   73  -0.0775  0.0080  0.0273  0.0289  0.0180  0.01
Average   60  -0.0591  0.0072  0.0272  0.0289  0.0263  0.02
Random 1   26  -0.0110  0.036  0.0925  0.299  0.392  0.34
Random 2   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 3   5  0.022  0.102  0.109  0.448  0.451  0.44

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).