Richter 1976

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   31  0.5788  0.0063  0.0461  0.0480  0.0374  0.03
Anderszewski 2003   34  0.5323  0.015  0.1015  0.3425  0.2912  0.31
Ashkenazy 1981   43  0.5224  0.0145  0.0444  0.0779  0.0352  0.05
Bacha 2000   73  0.4189  0.0080  0.0385  0.0375  0.0362  0.03
Badura 1965   66  0.4410  0.0214  0.0636  0.1139  0.1630  0.13
Barbosa 1983   61  0.4645  0.0070  0.0547  0.0556  0.0459  0.04
Biret 1990   63  0.4562  0.0072  0.0459  0.0466  0.0380  0.03
Blet 2003   19  0.6243  0.0049  0.0646  0.0648  0.0551  0.05
Block 1995   15  0.6321  0.0133  0.0528  0.1727  0.2524  0.21
Blumental 1952   84  0.1166  0.0086  0.0383  0.0388  0.0287  0.02
Boshniakovich 1969   54  0.4938  0.0065  0.0454  0.0466  0.0377  0.03
Brailowsky 1960   11  0.6449  0.0023  0.0711  0.3924  0.339  0.36
Bunin 1987   21  0.6271  0.0020  0.138  0.4224  0.357  0.38
Bunin 1987b   22  0.6176  0.0019  0.077  0.4224  0.355  0.38
Chiu 1999   75  0.3828  0.0066  0.0375  0.0369  0.0465  0.03
Cohen 1997   70  0.4252  0.0025  0.0733  0.1422  0.3225  0.21
Cortot 1951   57  0.4887  0.0073  0.0370  0.0355  0.0561  0.04
Csalog 1996   51  0.5011  0.0230  0.0729  0.1613  0.4717  0.27
Czerny 1949   67  0.4373  0.0076  0.0377  0.0367  0.0373  0.03
Czerny 1990   23  0.6132  0.0037  0.0437  0.1170  0.0443  0.07
Duchoud 2007   45  0.5157  0.0060  0.0379  0.0377  0.0376  0.03
Ezaki 2006   26  0.6072  0.0047  0.0462  0.0461  0.0454  0.04
Falvay 1989   1  0.726  0.048  0.099  0.4025  0.2710  0.33
Farrell 1958   72  0.4277  0.0081  0.0463  0.0482  0.0367  0.03
Ferenczy 1958   27  0.5915  0.019  0.0825  0.2113  0.4114  0.29
Fliere 1977   12  0.6442  0.0028  0.0723  0.2351  0.0532  0.11
Fou 1978   29  0.5835  0.0039  0.0430  0.1543  0.1329  0.14
Francois 1956   50  0.5155  0.0062  0.0382  0.0359  0.0483  0.03
Friedman 1923   90  -0.1548  0.0091  0.0191  0.0187  0.0291  0.01
Friedman 1923b   89  -0.1567  0.0090  0.0190  0.0181  0.0389  0.02
Friedman 1930   85  0.1029  0.0083  0.0380  0.0379  0.0371  0.03
Garcia 2007   76  0.3830  0.0059  0.0460  0.0427  0.2636  0.10
Garcia 2007b   86  0.0044  0.0085  0.0378  0.0384  0.0290  0.02
Gierzod 1998   69  0.4374  0.0079  0.0384  0.0378  0.0375  0.03
Gornostaeva 1994   39  0.5336  0.0061  0.0371  0.0374  0.0378  0.03
Groot 1988   4  0.7064  0.0016  0.0716  0.3331  0.2119  0.26
Harasiewicz 1955   18  0.621  0.201  0.202  0.5013  0.402  0.45
Hatto 1993   81  0.2822  0.0157  0.0374  0.0355  0.0382  0.03
Hatto 1997   79  0.3258  0.0055  0.0457  0.0462  0.0372  0.03
Horowitz 1949   35  0.5318  0.0122  0.0827  0.1825  0.2822  0.22
Indjic 1988   80  0.3054  0.0058  0.0369  0.0351  0.0468  0.03
Kapell 1951   20  0.622  0.172  0.1714  0.3635  0.2611  0.31
Kissin 1993   8  0.669  0.0313  0.0819  0.2631  0.2420  0.25
Kushner 1989   13  0.648  0.0329  0.0624  0.2346  0.0631  0.12
Luisada 1991   60  0.4781  0.0074  0.0372  0.0379  0.0364  0.03
Lushtak 2004   17  0.6251  0.0012  0.085  0.4841  0.1321  0.25
Malcuzynski 1961   14  0.6347  0.0032  0.0526  0.2049  0.0535  0.10
Magaloff 1978   7  0.6739  0.0017  0.1317  0.3229  0.2713  0.29
Magin 1975   32  0.567  0.0327  0.0820  0.2613  0.2916  0.27
Michalowski 1933   83  0.2133  0.0078  0.0376  0.0359  0.0558  0.04
Milkina 1970   24  0.6182  0.0042  0.0432  0.1446  0.0639  0.09
Mohovich 1999   9  0.6653  0.0018  0.0818  0.3034  0.1326  0.20
Moravec 1969   52  0.5019  0.0177  0.0453  0.0472  0.0363  0.03
Morozova 2008   44  0.5260  0.0050  0.0373  0.0367  0.0470  0.03
Neighaus 1950   65  0.4465  0.0068  0.0456  0.0488  0.0281  0.03
Niedzielski 1931   68  0.4370  0.0056  0.0367  0.0316  0.3134  0.10
Ohlsson 1999   64  0.4513  0.0269  0.0549  0.0570  0.0357  0.04
Osinska 1989   41  0.5214  0.0138  0.0445  0.0771  0.0448  0.05
Pachmann 1927   49  0.5125  0.0135  0.0535  0.1226  0.3127  0.19
Paderewski 1930   46  0.5131  0.0031  0.0634  0.1373  0.0250  0.05
Perlemuter 1992   5  0.704  0.104  0.153  0.4817  0.403  0.44
Pierdomenico 2008   33  0.5578  0.0043  0.0442  0.0842  0.1037  0.09
Poblocka 1999   10  0.6441  0.0011  0.0713  0.3634  0.2115  0.27
Rabcewiczowa 1932   78  0.3537  0.0082  0.0286  0.0278  0.0384  0.02
Rachmaninoff 1923   56  0.4990  0.0034  0.0539  0.1073  0.0349  0.05
Rangell 2001   55  0.4969  0.0064  0.0458  0.0467  0.0379  0.03
Richter 1976   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosen 1989   71  0.4234  0.0084  0.0368  0.0387  0.0286  0.02
Rosenthal 1930   37  0.5363  0.0036  0.0438  0.1134  0.2228  0.16
Rosenthal 1931   36  0.5340  0.0026  0.0821  0.2431  0.2818  0.26
Rosenthal 1931b   59  0.4775  0.0053  0.0455  0.0434  0.1741  0.08
Rosenthal 1931c   38  0.5361  0.0052  0.0366  0.0344  0.1053  0.05
Rosenthal 1931d   47  0.5179  0.0054  0.0548  0.0530  0.1840  0.09
Rossi 2007   77  0.3784  0.0051  0.0365  0.0327  0.1742  0.07
Rubinstein 1939   82  0.225  0.0410  0.1031  0.1552  0.0538  0.09
Rubinstein 1952   42  0.5256  0.0044  0.0443  0.0758  0.0547  0.06
Rubinstein 1966   62  0.4568  0.0075  0.0381  0.0371  0.0369  0.03
Schilhawsky 1960   25  0.6117  0.016  0.124  0.4826  0.288  0.37
Shebanova 2002   53  0.5016  0.0141  0.0440  0.0966  0.0445  0.06
Smith 1975   28  0.5883  0.0048  0.0450  0.0475  0.0366  0.03
Sokolov 2002   2  0.713  0.103  0.161  0.5310  0.461  0.49
Sztompka 1959   58  0.4827  0.0171  0.0452  0.0464  0.0456  0.04
Tomsic 1995   6  0.6912  0.027  0.086  0.4725  0.306  0.38
Uninsky 1932   74  0.3859  0.0067  0.0464  0.0455  0.0560  0.04
Uninsky 1971   40  0.5350  0.0040  0.0441  0.0858  0.0544  0.06
Wasowski 1980   16  0.6320  0.0121  0.0712  0.392  0.434  0.41
Zak 1937   48  0.5185  0.0046  0.0451  0.0456  0.0555  0.04
Zak 1951   30  0.5746  0.0024  0.0822  0.2439  0.1823  0.21
Average   3  0.7026  0.0115  0.0610  0.4075  0.0333  0.11
Random 1   88  -0.0991  0.0087  0.0287  0.0230  0.2146  0.06
Random 2   91  -0.1786  0.0088  0.0288  0.0287  0.0285  0.02
Random 3   87  -0.0780  0.0089  0.0289  0.0274  0.0388  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).