Richter 1976

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   11  0.6219  0.0016  0.1025  0.4844  0.1220  0.24
Anderszewski 2003   22  0.5428  0.0032  0.1128  0.4354  0.0438  0.13
Ashkenazy 1981   28  0.5213  0.0125  0.1127  0.4539  0.1819  0.28
Bacha 2000   80  0.2776  0.0078  0.0471  0.0464  0.0457  0.04
Badura 1965   12  0.6066  0.0017  0.1123  0.4916  0.4713  0.48
Barbosa 1983   64  0.3838  0.0067  0.0560  0.0571  0.0464  0.04
Biret 1990   63  0.3972  0.0060  0.0470  0.0449  0.0571  0.04
Blet 2003   47  0.4729  0.0055  0.0555  0.0557  0.0553  0.05
Block 1995   27  0.5278  0.0035  0.0838  0.2544  0.0836  0.14
Blumental 1952   77  0.3059  0.0069  0.0474  0.0486  0.0383  0.03
Boshniakovich 1969   4  0.695  0.065  0.343  0.6715  0.564  0.61
Brailowsky 1960   65  0.3877  0.0071  0.0472  0.0450  0.0649  0.05
Bunin 1987   19  0.5586  0.0010  0.1316  0.536  0.5311  0.53
Bunin 1987b   23  0.5464  0.009  0.1315  0.534  0.539  0.53
Chiu 1999   70  0.3754  0.0066  0.0475  0.0478  0.0378  0.03
Cohen 1997   87  0.1487  0.0087  0.0382  0.0374  0.0385  0.03
Cortot 1951   38  0.5018  0.0022  0.0934  0.3519  0.4714  0.41
Csalog 1996   74  0.3343  0.0073  0.0466  0.0463  0.0465  0.04
Czerny 1949   8  0.6422  0.006  0.229  0.6022  0.498  0.54
Czerny 1990   46  0.4737  0.0054  0.0647  0.0679  0.0369  0.04
Duchoud 2007   62  0.4050  0.0041  0.0841  0.2030  0.2125  0.20
Ezaki 2006   18  0.5724  0.0031  0.0933  0.3755  0.0633  0.15
Falvay 1989   79  0.2935  0.0082  0.0283  0.0274  0.0388  0.02
Farrell 1958   61  0.4144  0.0065  0.0649  0.0672  0.0451  0.05
Ferenczy 1958   54  0.4539  0.0062  0.0477  0.0473  0.0382  0.03
Fliere 1977   7  0.6416  0.018  0.238  0.6145  0.0822  0.22
Fou 1978   33  0.5053  0.0040  0.0840  0.2266  0.0444  0.09
Francois 1956   76  0.3173  0.0079  0.0467  0.0469  0.0474  0.04
Friedman 1923   41  0.4941  0.0043  0.0642  0.1844  0.1137  0.14
Friedman 1923b   39  0.499  0.0239  0.1235  0.3339  0.1721  0.24
Friedman 1930   44  0.4721  0.0044  0.0744  0.1448  0.0645  0.09
Garcia 2007   56  0.4469  0.0051  0.0652  0.0672  0.0455  0.05
Garcia 2007b   51  0.4565  0.0045  0.1045  0.1080  0.0356  0.05
Gierzod 1998   15  0.5940  0.0019  0.1219  0.5149  0.0629  0.17
Gornostaeva 1994   55  0.4470  0.0053  0.0553  0.0561  0.0368  0.04
Groot 1988   59  0.4132  0.0050  0.0557  0.0571  0.0472  0.04
Harasiewicz 1955   5  0.684  0.064  0.234  0.6724  0.505  0.58
Hatto 1993   35  0.5088  0.0026  0.1312  0.5561  0.0530  0.17
Hatto 1997   30  0.5184  0.0028  0.1314  0.5461  0.0532  0.16
Horowitz 1949   14  0.6079  0.0013  0.1417  0.528  0.5410  0.53
Indjic 1988   31  0.5145  0.0027  0.0913  0.5451  0.0531  0.16
Kapell 1951   24  0.5411  0.0114  0.1211  0.5745  0.0824  0.21
Kissin 1993   6  0.676  0.047  0.227  0.6326  0.477  0.54
Kushner 1989   29  0.5236  0.0037  0.0839  0.2375  0.0347  0.08
Luisada 1991   37  0.5031  0.0046  0.0648  0.0667  0.0448  0.05
Lushtak 2004   43  0.4720  0.0042  0.0843  0.1664  0.0546  0.09
Malcuzynski 1961   20  0.557  0.0412  0.1220  0.5025  0.2815  0.37
Magaloff 1978   72  0.3580  0.0074  0.0465  0.0486  0.0279  0.03
Magin 1975   16  0.5923  0.0021  0.0924  0.4956  0.0434  0.14
Michalowski 1933   36  0.5074  0.0024  0.0822  0.4911  0.4812  0.48
Milkina 1970   45  0.4717  0.0149  0.0746  0.0784  0.0352  0.05
Mohovich 1999   60  0.4155  0.0061  0.0462  0.0485  0.0384  0.03
Moravec 1969   81  0.2760  0.0083  0.0287  0.0267  0.0475  0.03
Morozova 2008   13  0.6015  0.0118  0.1226  0.4638  0.2218  0.32
Neighaus 1950   17  0.5733  0.0020  0.1218  0.5230  0.2716  0.37
Niedzielski 1931   48  0.4681  0.0052  0.0651  0.0681  0.0360  0.04
Ohlsson 1999   32  0.5161  0.0023  0.1021  0.5047  0.0628  0.17
Osinska 1989   42  0.4849  0.0048  0.0650  0.0676  0.0358  0.04
Pachmann 1927   49  0.4662  0.0064  0.0561  0.0535  0.2242  0.10
Paderewski 1930   67  0.3757  0.0068  0.0478  0.0467  0.0463  0.04
Perlemuter 1992   57  0.4485  0.0063  0.0473  0.0485  0.0376  0.03
Pierdomenico 2008   75  0.3375  0.0077  0.0468  0.0453  0.0650  0.05
Poblocka 1999   2  0.702  0.132  0.231  0.688  0.573  0.62
Rabcewiczowa 1932   73  0.3446  0.0076  0.0476  0.0465  0.0461  0.04
Rachmaninoff 1923   40  0.4948  0.0036  0.0836  0.3263  0.0440  0.11
Rangell 2001   66  0.3730  0.0057  0.0559  0.0573  0.0470  0.04
Richter 1976   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosen 1989   53  0.4525  0.0058  0.0556  0.0581  0.0366  0.04
Rosenthal 1930   52  0.4563  0.0047  0.0558  0.0532  0.2641  0.11
Rosenthal 1931   83  0.2558  0.0081  0.0381  0.0387  0.0289  0.02
Rosenthal 1931b   84  0.2482  0.0084  0.0288  0.0271  0.0486  0.03
Rosenthal 1931c   82  0.2689  0.0080  0.0380  0.0373  0.0387  0.03
Rosenthal 1931d   86  0.2183  0.0085  0.0285  0.0278  0.0390  0.02
Rossi 2007   85  0.2371  0.0086  0.0284  0.0283  0.0477  0.03
Rubinstein 1939   68  0.3767  0.0072  0.0463  0.0479  0.0380  0.03
Rubinstein 1952   78  0.3014  0.0159  0.0469  0.0471  0.0473  0.04
Rubinstein 1966   69  0.3756  0.0070  0.0379  0.0378  0.0481  0.03
Schilhawsky 1960   1  0.721  0.401  0.395  0.663  0.622  0.64
Shebanova 2002   26  0.5368  0.0033  0.1130  0.4264  0.0535  0.14
Smith 1975   58  0.4310  0.0256  0.0554  0.0575  0.0459  0.04
Sokolov 2002   50  0.4626  0.0034  0.1432  0.4141  0.1123  0.21
Sztompka 1959   10  0.628  0.0315  0.136  0.6441  0.1817  0.34
Tomsic 1995   71  0.3612  0.0175  0.0464  0.0474  0.0562  0.04
Uninsky 1932   9  0.6442  0.0011  0.1310  0.5810  0.546  0.56
Uninsky 1971   3  0.703  0.073  0.192  0.683  0.641  0.66
Wasowski 1980   34  0.5047  0.0038  0.0937  0.3080  0.0439  0.11
Zak 1937   21  0.5551  0.0029  0.0831  0.4245  0.0826  0.18
Zak 1951   25  0.5427  0.0030  0.0929  0.4245  0.0827  0.18
Random 1   88  -0.0152  0.0088  0.0286  0.023  0.5443  0.10
Random 2   89  -0.0790  0.0090  0.0190  0.0124  0.2754  0.05
Random 3   90  -0.0734  0.0089  0.0189  0.0130  0.2067  0.04

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).