Sokolov 2002

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   19  0.6151  0.0032  0.0732  0.2824  0.2137  0.24
Anderszewski 2003   24  0.5963  0.0022  0.0914  0.4113  0.5012  0.45
Ashkenazy 1981   21  0.6016  0.0121  0.0921  0.3832  0.2333  0.30
Bacha 2000   73  0.3779  0.0082  0.0381  0.0380  0.0374  0.03
Badura 1965   61  0.4661  0.0037  0.0640  0.1919  0.3834  0.27
Barbosa 1983   67  0.4281  0.0057  0.0746  0.0744  0.1053  0.08
Biret 1990   22  0.6019  0.0139  0.0836  0.2620  0.4530  0.34
Blet 2003   34  0.5687  0.0043  0.0941  0.1732  0.2538  0.21
Block 1995   58  0.4624  0.0051  0.0463  0.0437  0.1654  0.08
Blumental 1952   76  0.3639  0.0052  0.0464  0.0451  0.0573  0.04
Boshniakovich 1969   59  0.4648  0.0070  0.0371  0.0365  0.0382  0.03
Brailowsky 1960   64  0.4457  0.0075  0.0285  0.0250  0.0575  0.03
Bunin 1987   4  0.6820  0.013  0.246  0.507  0.537  0.51
Bunin 1987b   5  0.6828  0.004  0.277  0.507  0.536  0.51
Chiu 1999   77  0.3649  0.0067  0.0366  0.0350  0.0566  0.04
Cohen 1997   82  0.2625  0.0084  0.0384  0.0372  0.0383  0.03
Cortot 1951   26  0.5969  0.0035  0.0730  0.315  0.5718  0.42
Csalog 1996   70  0.3927  0.0068  0.0367  0.0349  0.0669  0.04
Czerny 1949   13  0.6310  0.0213  0.118  0.4811  0.642  0.55
Czerny 1990   11  0.6436  0.0015  0.0722  0.3717  0.3627  0.36
Duchoud 2007   7  0.6637  0.007  0.1010  0.477  0.509  0.48
Ezaki 2006   9  0.6618  0.019  0.1211  0.4619  0.3816  0.42
Falvay 1989   43  0.5335  0.0049  0.0552  0.0542  0.0857  0.06
Farrell 1958   66  0.4388  0.0080  0.0378  0.0365  0.0376  0.03
Ferenczy 1958   44  0.5344  0.0047  0.0650  0.0619  0.3944  0.15
Fliere 1977   15  0.6126  0.0042  0.0742  0.1745  0.0847  0.12
Fou 1978   69  0.4238  0.0071  0.0369  0.0377  0.0377  0.03
Francois 1956   16  0.6145  0.0014  0.0820  0.3816  0.4221  0.40
Friedman 1923   86  0.2262  0.0073  0.0370  0.0342  0.1258  0.06
Friedman 1923b   84  0.2350  0.0072  0.0374  0.0342  0.1065  0.05
Friedman 1930   74  0.3747  0.0055  0.0556  0.0534  0.2749  0.12
Garcia 2007   83  0.2570  0.0078  0.0380  0.0356  0.0571  0.04
Garcia 2007b   87  0.1780  0.0086  0.0382  0.0381  0.0290  0.02
Gierzod 1998   37  0.5630  0.0044  0.0644  0.1333  0.1745  0.15
Gornostaeva 1994   8  0.665  0.0412  0.0912  0.4216  0.4217  0.42
Groot 1988   25  0.5973  0.0036  0.0637  0.2240  0.1541  0.18
Harasiewicz 1955   40  0.552  0.132  0.202  0.564  0.494  0.52
Hatto 1993   62  0.4564  0.0038  0.0738  0.2121  0.3136  0.26
Hatto 1997   45  0.5313  0.0119  0.0828  0.3516  0.4423  0.39
Horowitz 1949   60  0.4678  0.0062  0.0553  0.0569  0.0468  0.04
Indjic 1988   50  0.4831  0.0025  0.0933  0.2720  0.3432  0.30
Kapell 1951   3  0.683  0.0511  0.125  0.503  0.535  0.51
Kissin 1993   47  0.5152  0.0059  0.0559  0.0555  0.0562  0.05
Kushner 1989   12  0.6321  0.0134  0.0734  0.2718  0.3631  0.31
Luisada 1991   53  0.4872  0.0064  0.0560  0.0558  0.0559  0.05
Lushtak 2004   42  0.5483  0.0018  0.0726  0.3525  0.3529  0.35
Malcuzynski 1961   2  0.704  0.048  0.114  0.5215  0.4011  0.46
Magaloff 1978   14  0.6214  0.0129  0.0731  0.3142  0.1240  0.19
Magin 1975   17  0.6111  0.0127  0.0825  0.3610  0.4420  0.40
Michalowski 1933   55  0.4722  0.0126  0.0816  0.412  0.578  0.48
Milkina 1970   46  0.5315  0.0153  0.0462  0.0457  0.0467  0.04
Mohovich 1999   38  0.5646  0.0048  0.0648  0.0656  0.0563  0.05
Moravec 1969   54  0.4712  0.0150  0.0557  0.0536  0.1352  0.08
Morozova 2008   28  0.5823  0.0120  0.0717  0.3915  0.3626  0.37
Neighaus 1950   20  0.6043  0.0028  0.1029  0.3443  0.1239  0.20
Niedzielski 1931   68  0.4267  0.0066  0.0368  0.0330  0.1755  0.07
Ohlsson 1999   6  0.679  0.026  0.109  0.4817  0.3519  0.41
Osinska 1989   39  0.566  0.0430  0.0643  0.1327  0.2242  0.17
Pachmann 1927   81  0.3265  0.0077  0.0377  0.0374  0.0379  0.03
Paderewski 1930   51  0.4875  0.0065  0.0465  0.0471  0.0378  0.03
Perlemuter 1992   35  0.568  0.0323  0.0823  0.3712  0.4914  0.43
Pierdomenico 2008   56  0.4777  0.0060  0.0649  0.0627  0.2348  0.12
Poblocka 1999   29  0.5890  0.0045  0.0647  0.0645  0.0656  0.06
Rabcewiczowa 1932   32  0.5759  0.0041  0.0639  0.2110  0.5828  0.35
Rachmaninoff 1923   36  0.5633  0.0016  0.0913  0.418  0.5210  0.46
Rangell 2001   65  0.4440  0.0083  0.0373  0.0373  0.0384  0.03
Richter 1976   30  0.5841  0.0017  0.0718  0.3910  0.4022  0.39
Rosen 1989   52  0.4854  0.0063  0.0551  0.0560  0.0472  0.04
Rosenthal 1930   27  0.5866  0.0040  0.1035  0.2610  0.5625  0.38
Rosenthal 1931   75  0.3789  0.0076  0.0383  0.0352  0.0480  0.03
Rosenthal 1931b   79  0.3476  0.0079  0.0286  0.0262  0.0486  0.03
Rosenthal 1931c   41  0.5442  0.0046  0.0745  0.0716  0.4343  0.17
Rosenthal 1931d   78  0.3671  0.0081  0.0375  0.0364  0.0485  0.03
Rossi 2007   80  0.3382  0.0058  0.0555  0.058  0.4246  0.14
Rubinstein 1939   85  0.2274  0.0088  0.0188  0.0176  0.0388  0.02
Rubinstein 1952   72  0.3817  0.0174  0.0379  0.0367  0.0487  0.03
Rubinstein 1966   71  0.3955  0.0085  0.0376  0.0376  0.0481  0.03
Schilhawsky 1960   31  0.5760  0.0024  0.1015  0.4111  0.4913  0.45
Shebanova 2002   63  0.4529  0.0069  0.0372  0.0366  0.0570  0.04
Smith 1975   10  0.667  0.035  0.143  0.558  0.503  0.52
Sokolov 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sztompka 1959   18  0.6184  0.0033  0.0824  0.3621  0.4124  0.38
Tomsic 1995   23  0.6034  0.0031  0.0627  0.3529  0.2035  0.26
Uninsky 1932   33  0.5758  0.0010  0.1219  0.3913  0.4715  0.43
Uninsky 1971   1  0.711  0.401  0.391  0.624  0.621  0.62
Wasowski 1980   48  0.5032  0.0054  0.0461  0.0437  0.1950  0.09
Zak 1937   57  0.4785  0.0061  0.0558  0.0551  0.0560  0.05
Zak 1951   49  0.4986  0.0056  0.0554  0.0559  0.0561  0.05
Random 1   89  0.0368  0.0087  0.0287  0.028  0.4551  0.09
Random 2   90  -0.0256  0.0090  0.0190  0.0165  0.0389  0.02
Random 3   88  0.0653  0.0089  0.0189  0.0125  0.2864  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).