Richter 1976

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   13  0.6826  0.0015  0.1320  0.4760  0.0429  0.14
Anderszewski 2003   33  0.5641  0.0040  0.1239  0.2876  0.0342  0.09
Ashkenazy 1981   46  0.5215  0.0121  0.0735  0.3655  0.0440  0.12
Bacha 2000   82  0.1774  0.0078  0.0380  0.0384  0.0367  0.03
Badura 1965   7  0.726  0.039  0.208  0.5914  0.535  0.56
Barbosa 1983   77  0.2425  0.0175  0.0371  0.0377  0.0375  0.03
Biret 1990   67  0.3280  0.0064  0.0467  0.0474  0.0466  0.04
Blet 2003   45  0.5245  0.0054  0.0652  0.0669  0.0454  0.05
Block 1995   24  0.6158  0.0034  0.0837  0.3144  0.0822  0.16
Blumental 1952   78  0.2283  0.0069  0.0376  0.0382  0.0377  0.03
Boshniakovich 1969   4  0.784  0.054  0.234  0.6219  0.477  0.54
Brailowsky 1960   66  0.3368  0.0070  0.0375  0.0384  0.0368  0.03
Bunin 1987   12  0.6878  0.008  0.2110  0.553  0.576  0.56
Bunin 1987b   14  0.688  0.027  0.229  0.553  0.574  0.56
Chiu 1999   64  0.3571  0.0061  0.0656  0.0653  0.0451  0.05
Cohen 1997   88  0.0265  0.0089  0.0286  0.0287  0.0288  0.02
Cortot 1951   19  0.6220  0.0118  0.1012  0.5332  0.2211  0.34
Csalog 1996   75  0.2532  0.0068  0.0468  0.0478  0.0376  0.03
Czerny 1949   11  0.6967  0.0010  0.1414  0.5135  0.3210  0.40
Czerny 1990   61  0.4081  0.0065  0.0466  0.0488  0.0380  0.03
Duchoud 2007   54  0.4738  0.0030  0.0738  0.2933  0.1818  0.23
Ezaki 2006   34  0.5660  0.0045  0.0646  0.1281  0.0347  0.06
Falvay 1989   86  0.1147  0.0083  0.0287  0.0284  0.0285  0.02
Farrell 1958   65  0.3452  0.0071  0.0370  0.0374  0.0473  0.03
Ferenczy 1958   47  0.5146  0.0050  0.0562  0.0532  0.1445  0.08
Fliere 1977   9  0.7014  0.0111  0.156  0.6047  0.0520  0.17
Fou 1978   51  0.4928  0.0051  0.0563  0.0578  0.0361  0.04
Francois 1956   73  0.2755  0.0079  0.0379  0.0375  0.0382  0.03
Friedman 1923   26  0.5936  0.0032  0.0825  0.4543  0.1816  0.28
Friedman 1923b   27  0.5919  0.0131  0.0624  0.4543  0.1913  0.29
Friedman 1930   32  0.5612  0.0233  0.0829  0.4045  0.1517  0.24
Garcia 2007   36  0.5550  0.0047  0.1245  0.1265  0.0446  0.07
Garcia 2007b   44  0.5256  0.0043  0.0640  0.2079  0.0443  0.09
Gierzod 1998   23  0.6161  0.0035  0.0934  0.3668  0.0439  0.12
Gornostaeva 1994   57  0.4275  0.0056  0.0657  0.0687  0.0279  0.03
Groot 1988   58  0.4176  0.0058  0.0655  0.0671  0.0457  0.05
Harasiewicz 1955   6  0.7513  0.015  0.245  0.6116  0.409  0.49
Hatto 1993   31  0.5618  0.0129  0.0917  0.5045  0.1019  0.22
Hatto 1997   29  0.5782  0.0024  0.0615  0.5165  0.0521  0.16
Horowitz 1949   2  0.802  0.192  0.317  0.593  0.562  0.57
Indjic 1988   30  0.5784  0.0028  0.0616  0.5167  0.0428  0.14
Kapell 1951   42  0.5323  0.0139  0.1233  0.3665  0.0435  0.12
Kissin 1993   10  0.707  0.0212  0.1013  0.5254  0.0427  0.14
Kushner 1989   49  0.4948  0.0055  0.0649  0.0688  0.0274  0.03
Luisada 1991   39  0.5385  0.0052  0.0561  0.0580  0.0358  0.04
Lushtak 2004   53  0.4835  0.0025  0.0544  0.1477  0.0349  0.06
Malcuzynski 1961   35  0.5511  0.0220  0.0736  0.3527  0.2314  0.28
Magaloff 1978   76  0.2486  0.0080  0.0374  0.0380  0.0469  0.03
Magin 1975   22  0.6144  0.0036  0.0830  0.3862  0.0434  0.12
Michalowski 1933   25  0.5987  0.0023  0.0723  0.4536  0.1815  0.28
Milkina 1970   56  0.4527  0.0057  0.0748  0.0754  0.0548  0.06
Mohovich 1999   63  0.3773  0.0063  0.0650  0.0688  0.0364  0.04
Moravec 1969   84  0.1472  0.0088  0.0285  0.0286  0.0283  0.02
Morozova 2008   15  0.6433  0.0019  0.1031  0.3863  0.0437  0.12
Neighaus 1950   17  0.6362  0.0014  0.1118  0.4879  0.0430  0.14
Niedzielski 1931   48  0.5088  0.0048  0.0651  0.0648  0.0552  0.05
Ohlsson 1999   41  0.5353  0.0022  0.0727  0.4150  0.0526  0.14
Osinska 1989   50  0.4979  0.0053  0.0560  0.0583  0.0359  0.04
Pachmann 1927   43  0.5369  0.0049  0.0654  0.0654  0.0453  0.05
Paderewski 1930   60  0.4163  0.0062  0.0559  0.0572  0.0362  0.04
Perlemuter 1992   38  0.5470  0.0046  0.0947  0.0981  0.0350  0.05
Pierdomenico 2008   70  0.3031  0.0072  0.0465  0.0487  0.0270  0.03
Poblocka 1999   3  0.793  0.103  0.191  0.6714  0.473  0.56
Rabcewiczowa 1932   69  0.3022  0.0174  0.0377  0.0375  0.0472  0.03
Rachmaninoff 1923   40  0.5334  0.0041  0.0741  0.2075  0.0344  0.08
Rangell 2001   68  0.3042  0.0059  0.0558  0.0580  0.0365  0.04
Richter 1976   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosen 1989   59  0.4130  0.0060  0.0653  0.0670  0.0456  0.05
Rosenthal 1930   55  0.4616  0.0142  0.0743  0.1534  0.1232  0.13
Rosenthal 1931   81  0.2089  0.0085  0.0284  0.0288  0.0387  0.02
Rosenthal 1931b   80  0.2057  0.0084  0.0188  0.0188  0.0390  0.02
Rosenthal 1931c   79  0.2149  0.0077  0.0378  0.0377  0.0381  0.03
Rosenthal 1931d   83  0.1790  0.0086  0.0282  0.0287  0.0289  0.02
Rossi 2007   85  0.1351  0.0087  0.0189  0.0182  0.0384  0.02
Rubinstein 1939   71  0.2924  0.0173  0.0372  0.0373  0.0471  0.03
Rubinstein 1952   87  0.1021  0.0182  0.0283  0.0286  0.0391  0.02
Rubinstein 1966   74  0.2559  0.0076  0.0469  0.0469  0.0463  0.04
Schilhawsky 1960   1  0.811  0.291  0.282  0.679  0.571  0.62
Shebanova 2002   28  0.5877  0.0038  0.0928  0.4057  0.0431  0.13
Smith 1975   62  0.3717  0.0166  0.0564  0.0586  0.0360  0.04
Sokolov 2002   52  0.4837  0.0037  0.0832  0.3747  0.0524  0.14
Sztompka 1959   20  0.6210  0.0227  0.0626  0.4361  0.0523  0.15
Tomsic 1995   72  0.2929  0.0081  0.0281  0.0284  0.0286  0.02
Uninsky 1932   8  0.7043  0.0013  0.1111  0.5343  0.1912  0.32
Uninsky 1971   5  0.755  0.046  0.253  0.6213  0.458  0.53
Wasowski 1980   37  0.5439  0.0044  0.0842  0.1851  0.0641  0.10
Zak 1937   18  0.6266  0.0016  0.0819  0.4768  0.0425  0.14
Zak 1951   21  0.6264  0.0017  0.0721  0.4772  0.0336  0.12
Average   16  0.639  0.0226  0.0522  0.4681  0.0338  0.12
Random 1   89  -0.0354  0.0067  0.0373  0.035  0.5533  0.13
Random 2   90  -0.1191  0.0090  0.0190  0.0116  0.3055  0.05
Random 3   91  -0.1740  0.0091  0.0191  0.0145  0.0778  0.03

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).