Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   77  -0.0653  0.0059  0.0367  0.0390  0.0268  0.02
Anderszewski 2003   7  0.027  0.054  0.135  0.4989  0.027  0.10
Ashkenazy 1981   3  0.0322  0.0110  0.114  0.5088  0.033  0.12
Bacha 2000   10  0.0131  0.0023  0.0623  0.2790  0.0219  0.07
Badura 1965   57  -0.044  0.0722  0.0926  0.2690  0.0130  0.05
Barbosa 1983   54  -0.0441  0.0019  0.0717  0.3690  0.0127  0.06
Biret 1990   33  -0.0240  0.0063  0.0449  0.0490  0.0174  0.02
Blet 2003   39  -0.0236  0.0067  0.0448  0.0490  0.0162  0.02
Block 1995   23  -0.0121  0.0131  0.0532  0.1590  0.0231  0.05
Blumental 1952   60  -0.0474  0.0043  0.0345  0.0790  0.0236  0.04
Boshniakovich 1969   43  -0.0328  0.0066  0.0456  0.0490  0.0171  0.02
Brailowsky 1960   56  -0.0448  0.0065  0.0450  0.0489  0.0238  0.03
Bunin 1987   47  -0.0360  0.0069  0.0452  0.0491  0.0172  0.02
Bunin 1987b   41  -0.0344  0.0068  0.0546  0.0591  0.0155  0.02
Chiu 1999   25  -0.0126  0.0030  0.0727  0.2589  0.0221  0.07
Cohen 1997   4  0.0310  0.036  0.119  0.4389  0.0214  0.09
Cortot 1951   9  0.025  0.065  0.121  0.5889  0.026  0.11
Csalog 1996   52  -0.0349  0.0070  0.0372  0.0390  0.0161  0.02
Czerny 1949   29  -0.0212  0.0311  0.096  0.4690  0.028  0.10
Czerny 1990   53  -0.0482  0.0060  0.0369  0.0390  0.0273  0.02
Duchoud 2007   1  0.0613  0.037  0.123  0.5589  0.029  0.10
Ezaki 2006   32  -0.0234  0.0020  0.0916  0.3689  0.0216  0.08
Falvay 1989   81  -0.0718  0.0137  0.0438  0.1090  0.0140  0.03
Farrell 1958   59  -0.0451  0.0073  0.0378  0.0391  0.0152  0.02
Ferenczy 1958   76  -0.0637  0.0047  0.0361  0.0389  0.0266  0.02
Fliere 1977   69  -0.0572  0.0081  0.0281  0.0291  0.0180  0.01
Fou 1978   20  0.0023  0.0125  0.0629  0.2389  0.0222  0.07
Francois 1956   27  -0.026  0.0512  0.1011  0.4290  0.0215  0.09
Friedman 1923   73  -0.0557  0.0086  0.0282  0.0291  0.0191  0.01
Friedman 1923b   71  -0.0576  0.0087  0.0284  0.0291  0.0188  0.01
Friedman 1930   36  -0.0252  0.0058  0.0366  0.0390  0.0265  0.02
Garcia 2007   83  -0.0763  0.0057  0.0365  0.0391  0.0169  0.02
Garcia 2007b   24  -0.0130  0.0036  0.0537  0.1190  0.0149  0.03
Gierzod 1998   12  0.0054  0.0018  0.0915  0.3789  0.0213  0.09
Gornostaeva 1994   21  -0.0177  0.0029  0.0730  0.2289  0.0224  0.07
Groot 1988   44  -0.0325  0.0141  0.0442  0.0789  0.0147  0.03
Harasiewicz 1955   84  -0.0778  0.0062  0.0364  0.0389  0.0177  0.02
Hatto 1993   34  -0.0279  0.0054  0.0359  0.0390  0.0176  0.02
Hatto 1997   28  -0.0288  0.0055  0.0451  0.0490  0.0245  0.03
Horowitz 1949   79  -0.0647  0.0085  0.0285  0.0291  0.0184  0.01
Indjic 1988   31  -0.0271  0.0056  0.0360  0.0390  0.0160  0.02
Kapell 1951   30  -0.029  0.0313  0.1013  0.4189  0.0212  0.09
Kissin 1993   75  -0.0683  0.0074  0.0376  0.0391  0.0158  0.02
Kushner 1989   22  -0.0135  0.0034  0.0434  0.1389  0.0134  0.04
Luisada 1991   50  -0.0332  0.0053  0.0455  0.0490  0.0237  0.03
Lushtak 2004   46  -0.0381  0.0052  0.0358  0.0390  0.0270  0.02
Malcuzynski 1961   15  0.0080  0.0028  0.0720  0.3189  0.0126  0.06
Magaloff 1978   42  -0.0365  0.0040  0.0439  0.0990  0.0139  0.03
Magin 1975   5  0.0215  0.028  0.117  0.4589  0.0211  0.09
Michalowski 1933   18  0.0058  0.0017  0.0924  0.2791  0.0129  0.05
Milkina 1970   45  -0.0367  0.0064  0.0547  0.0591  0.0154  0.02
Mohovich 1999   49  -0.0339  0.0032  0.0631  0.1690  0.0228  0.06
Moravec 1969   72  -0.0589  0.0075  0.0280  0.0291  0.0179  0.01
Morozova 2008   63  -0.0442  0.0050  0.0454  0.0490  0.0244  0.03
Neighaus 1950   48  -0.0386  0.0071  0.0374  0.0390  0.0275  0.02
Niedzielski 1931   90  -0.0766  0.0088  0.0288  0.0291  0.0183  0.01
Ohlsson 1999   2  0.041  0.141  0.142  0.5889  0.025  0.11
Osinska 1989   68  -0.0569  0.0046  0.0363  0.0390  0.0250  0.02
Pachmann 1927   88  -0.0717  0.0176  0.0279  0.0291  0.0185  0.01
Paderewski 1930   40  -0.0387  0.0035  0.0436  0.1190  0.0143  0.03
Perlemuter 1992   58  -0.0411  0.0321  0.0822  0.2889  0.0220  0.07
Pierdomenico 2008   17  0.008  0.0415  0.0914  0.3988  0.0210  0.09
Poblocka 1999   70  -0.0545  0.0061  0.0368  0.0390  0.0251  0.02
Rabcewiczowa 1932   51  -0.0327  0.0045  0.0344  0.0790  0.0233  0.04
Rachmaninoff 1923   78  -0.0646  0.0080  0.0283  0.0291  0.0181  0.01
Rangell 2001   14  0.0070  0.0024  0.0725  0.2789  0.0132  0.05
Richter 1976   55  -0.0419  0.0144  0.0343  0.0790  0.0142  0.03
Rosen 1989   16  0.0050  0.0026  0.0628  0.2489  0.0223  0.07
Rosenthal 1930   38  -0.0216  0.0133  0.0533  0.1490  0.0135  0.04
Rosenthal 1931   91  -0.0959  0.0091  0.0191  0.0191  0.0186  0.01
Rosenthal 1931b   85  -0.0784  0.0089  0.0189  0.0191  0.0190  0.01
Rosenthal 1931c   66  -0.0420  0.0139  0.0440  0.0991  0.0148  0.03
Rosenthal 1931d   86  -0.0773  0.0090  0.0190  0.0191  0.0189  0.01
Rossi 2007   61  -0.0414  0.0214  0.1119  0.3289  0.0218  0.08
Rubinstein 1939   82  -0.0790  0.0083  0.0286  0.0291  0.0182  0.01
Rubinstein 1952   62  -0.0455  0.0072  0.0370  0.0390  0.0178  0.02
Rubinstein 1966   74  -0.0564  0.0077  0.0377  0.0390  0.0263  0.02
Schilhawsky 1960   89  -0.0762  0.0084  0.0287  0.0291  0.0187  0.01
Shebanova 2002   26  -0.0238  0.0051  0.0362  0.0390  0.0167  0.02
Smith 1975   13  0.0024  0.019  0.0912  0.4286  0.034  0.11
Sokolov 2002   19  0.0029  0.0016  0.0918  0.3291  0.0125  0.06
Sztompka 1959   35  -0.0275  0.0049  0.0453  0.0489  0.0157  0.02
Tomsic 1995   37  -0.0233  0.0038  0.0435  0.1290  0.0141  0.03
Uninsky 1932   65  -0.0443  0.0042  0.0341  0.0890  0.0146  0.03
Uninsky 1971   67  -0.0468  0.0048  0.0357  0.0391  0.0159  0.02
Wasowski 1980   11  0.0061  0.0027  0.0621  0.3089  0.0217  0.08
Zak 1937   87  -0.0785  0.0082  0.0375  0.0391  0.0153  0.02
Zak 1951   80  -0.0656  0.0078  0.0373  0.0390  0.0156  0.02
Average   64  -0.0491  0.0079  0.0371  0.0390  0.0164  0.02
Random 1   8  0.023  0.133  0.1710  0.432  0.501  0.46
Random 2   6  0.022  0.142  0.148  0.459  0.442  0.44
Random 3   target  targettarget  targettarget  targettarget  targettarget  targettarget  target

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).