Sokolov 2002

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   12  0.6832  0.0025  0.0817  0.4240  0.2030  0.29
Anderszewski 2003   15  0.6624  0.0111  0.0815  0.4410  0.468  0.45
Ashkenazy 1981   8  0.6919  0.0115  0.0814  0.4428  0.3022  0.36
Bacha 2000   72  0.4852  0.0080  0.0286  0.0277  0.0391  0.02
Badura 1965   54  0.5613  0.0220  0.0632  0.3418  0.3821  0.36
Barbosa 1983   77  0.4429  0.0061  0.0454  0.0448  0.0759  0.05
Biret 1990   7  0.6923  0.0130  0.0826  0.3724  0.2828  0.32
Blet 2003   50  0.5769  0.0044  0.0444  0.0846  0.0650  0.07
Block 1995   76  0.4570  0.0068  0.0377  0.0377  0.0385  0.03
Blumental 1952   74  0.4525  0.0160  0.0453  0.0469  0.0386  0.03
Boshniakovich 1969   44  0.5974  0.0053  0.0548  0.0565  0.0471  0.04
Brailowsky 1960   68  0.5072  0.0078  0.0382  0.0373  0.0477  0.03
Bunin 1987   19  0.655  0.048  0.097  0.488  0.524  0.50
Bunin 1987b   22  0.6540  0.009  0.099  0.488  0.522  0.50
Chiu 1999   80  0.4284  0.0073  0.0375  0.0370  0.0378  0.03
Cohen 1997   88  0.3251  0.0087  0.0379  0.0375  0.0387  0.03
Cortot 1951   29  0.6378  0.0036  0.0937  0.2918  0.3826  0.33
Csalog 1996   78  0.4436  0.0066  0.0367  0.0368  0.0483  0.03
Czerny 1949   27  0.6312  0.0323  0.0723  0.3929  0.3025  0.34
Czerny 1990   14  0.6762  0.0029  0.0824  0.3838  0.1534  0.24
Duchoud 2007   2  0.763  0.062  0.162  0.574  0.551  0.56
Ezaki 2006   10  0.699  0.036  0.124  0.5011  0.456  0.47
Falvay 1989   64  0.5242  0.0047  0.0549  0.0554  0.0656  0.05
Farrell 1958   48  0.5827  0.0045  0.0445  0.0866  0.0454  0.06
Ferenczy 1958   59  0.5455  0.0059  0.0462  0.0437  0.1451  0.07
Fliere 1977   9  0.6954  0.0026  0.0733  0.3444  0.1235  0.20
Fou 1978   60  0.5467  0.0065  0.0456  0.0461  0.0464  0.04
Francois 1956   45  0.5837  0.0042  0.0742  0.1445  0.1143  0.12
Friedman 1923   85  0.3665  0.0077  0.0371  0.0358  0.0675  0.04
Friedman 1923b   84  0.3675  0.0076  0.0288  0.0249  0.0772  0.04
Friedman 1930   79  0.4483  0.0064  0.0461  0.0454  0.0568  0.04
Garcia 2007   58  0.5480  0.0055  0.0463  0.0430  0.3044  0.11
Garcia 2007b   81  0.4191  0.0074  0.0368  0.0360  0.0490  0.03
Gierzod 1998   11  0.688  0.0328  0.0725  0.3837  0.2031  0.28
Gornostaeva 1994   20  0.6517  0.0122  0.0720  0.4019  0.3816  0.39
Groot 1988   42  0.5946  0.0041  0.0740  0.2055  0.0447  0.09
Harasiewicz 1955   43  0.594  0.044  0.215  0.4915  0.429  0.45
Hatto 1993   67  0.5179  0.0058  0.0452  0.0464  0.0474  0.04
Hatto 1997   55  0.5468  0.0054  0.0466  0.0434  0.1649  0.08
Horowitz 1949   65  0.5277  0.0069  0.0378  0.0353  0.0565  0.04
Indjic 1988   63  0.5285  0.0057  0.0646  0.0641  0.1346  0.09
Kapell 1951   6  0.7014  0.027  0.108  0.4818  0.3711  0.42
Kissin 1993   37  0.6044  0.0050  0.0459  0.0471  0.0382  0.03
Kushner 1989   5  0.7015  0.0221  0.0716  0.4324  0.3514  0.39
Luisada 1991   52  0.5718  0.0146  0.0455  0.0462  0.0462  0.04
Lushtak 2004   28  0.6360  0.0016  0.0713  0.4428  0.2427  0.32
Malcuzynski 1961   23  0.6431  0.0039  0.1036  0.3022  0.2829  0.29
Magaloff 1978   34  0.627  0.0314  0.0941  0.1842  0.1438  0.16
Magin 1975   21  0.6522  0.0134  0.1022  0.3917  0.3123  0.35
Michalowski 1933   53  0.5630  0.0032  0.0629  0.3514  0.4217  0.38
Milkina 1970   33  0.6249  0.0049  0.0547  0.0561  0.0558  0.05
Mohovich 1999   25  0.6328  0.0038  0.0830  0.3550  0.0639  0.14
Moravec 1969   75  0.4539  0.0083  0.0385  0.0382  0.0376  0.03
Morozova 2008   32  0.6243  0.0035  0.1131  0.3533  0.2032  0.26
Neighaus 1950   16  0.6633  0.0033  0.0728  0.3544  0.1036  0.19
Niedzielski 1931   73  0.4786  0.0072  0.0383  0.0374  0.0380  0.03
Ohlsson 1999   3  0.762  0.093  0.223  0.559  0.453  0.50
Osinska 1989   46  0.5850  0.0048  0.0460  0.0461  0.0463  0.04
Pachmann 1927   83  0.3971  0.0084  0.0376  0.0362  0.0566  0.04
Paderewski 1930   61  0.5461  0.0075  0.0384  0.0375  0.0381  0.03
Perlemuter 1992   31  0.6281  0.0018  0.1119  0.4121  0.3419  0.37
Pierdomenico 2008   57  0.5459  0.0067  0.0372  0.0349  0.0757  0.05
Poblocka 1999   26  0.6345  0.0037  0.1138  0.2945  0.0937  0.16
Rabcewiczowa 1932   41  0.5947  0.0043  0.0543  0.1038  0.1641  0.13
Rachmaninoff 1923   18  0.6610  0.035  0.1110  0.488  0.495  0.48
Rangell 2001   62  0.5364  0.0070  0.0381  0.0366  0.0388  0.03
Richter 1976   39  0.6020  0.0131  0.0635  0.3114  0.4420  0.37
Rosen 1989   49  0.5766  0.0063  0.0464  0.0456  0.0470  0.04
Rosenthal 1930   13  0.6757  0.0027  0.0927  0.368  0.617  0.47
Rosenthal 1931   66  0.5282  0.0071  0.0380  0.0331  0.2048  0.08
Rosenthal 1931b   69  0.4963  0.0079  0.0373  0.0340  0.0961  0.05
Rosenthal 1931c   38  0.6076  0.0052  0.0457  0.0415  0.4740  0.14
Rosenthal 1931d   70  0.4987  0.0082  0.0374  0.0348  0.0673  0.04
Rossi 2007   86  0.3641  0.0081  0.0287  0.0235  0.1853  0.06
Rubinstein 1939   87  0.3573  0.0088  0.0370  0.0385  0.0379  0.03
Rubinstein 1952   82  0.4138  0.0086  0.0369  0.0380  0.0389  0.03
Rubinstein 1966   71  0.4848  0.0085  0.0465  0.0458  0.0567  0.04
Schilhawsky 1960   24  0.6489  0.0017  0.0912  0.4625  0.3912  0.42
Shebanova 2002   36  0.6158  0.0051  0.0458  0.0474  0.0469  0.04
Smith 1975   17  0.666  0.0313  0.0811  0.4721  0.3513  0.41
Sokolov 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sztompka 1959   4  0.7111  0.0312  0.096  0.4920  0.4010  0.44
Tomsic 1995   56  0.5426  0.0162  0.0551  0.0537  0.1945  0.10
Uninsky 1932   51  0.5753  0.0019  0.0734  0.3229  0.3624  0.34
Uninsky 1971   40  0.6016  0.0210  0.1018  0.4224  0.3615  0.39
Wasowski 1980   47  0.5835  0.0056  0.0550  0.0559  0.0555  0.05
Zak 1937   35  0.6134  0.0040  0.1039  0.2758  0.0642  0.13
Zak 1951   30  0.6221  0.0124  0.0821  0.3938  0.1533  0.24
Average   1  0.791  0.311  0.311  0.7434  0.2018  0.38
Random 1   91  -0.0956  0.0091  0.0191  0.018  0.4852  0.07
Random 2   90  -0.0188  0.0090  0.0190  0.0144  0.0884  0.03
Random 3   89  0.0190  0.0089  0.0189  0.0118  0.2960  0.05

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).