Sokolov 2002

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   50  0.3330  0.0045  0.0445  0.0951  0.0553  0.07
Anderszewski 2003   70  0.2789  0.0070  0.0469  0.0484  0.0380  0.03
Ashkenazy 1981   27  0.3861  0.0043  0.0841  0.1551  0.0845  0.11
Bacha 2000   49  0.3448  0.0062  0.0746  0.0736  0.2039  0.12
Badura 1965   79  0.2463  0.0078  0.0381  0.0373  0.0384  0.03
Barbosa 1983   39  0.3539  0.0047  0.0465  0.0463  0.0660  0.05
Biret 1990   14  0.4111  0.0118  0.0920  0.4528  0.4111  0.43
Blet 2003   28  0.3842  0.0026  0.0923  0.4327  0.3912  0.41
Block 1995   43  0.3431  0.0036  0.0836  0.2756  0.0637  0.13
Blumental 1952   48  0.3464  0.0044  0.0544  0.1050  0.0651  0.08
Boshniakovich 1969   25  0.3917  0.0032  0.1029  0.4045  0.1124  0.21
Brailowsky 1960   78  0.2582  0.0077  0.0378  0.0383  0.0378  0.03
Bunin 1987   63  0.2980  0.0058  0.0556  0.0558  0.0562  0.05
Bunin 1987b   67  0.2891  0.0059  0.0552  0.0563  0.0469  0.04
Chiu 1999   58  0.3023  0.0075  0.0374  0.0370  0.0479  0.03
Cohen 1997   83  0.2138  0.0068  0.0372  0.0372  0.0386  0.03
Cortot 1951   64  0.2951  0.0039  0.0742  0.1542  0.1533  0.15
Csalog 1996   37  0.3646  0.0040  0.0643  0.1449  0.0749  0.10
Czerny 1949   20  0.4065  0.0011  0.1019  0.4628  0.507  0.48
Czerny 1990   62  0.2932  0.0053  0.0467  0.0473  0.0475  0.04
Duchoud 2007   65  0.2852  0.0069  0.0464  0.0483  0.0383  0.03
Ezaki 2006   35  0.3613  0.0120  0.1024  0.4249  0.0825  0.18
Falvay 1989   29  0.3762  0.0038  0.0938  0.2766  0.0541  0.12
Farrell 1958   71  0.2778  0.0067  0.0371  0.0384  0.0289  0.02
Ferenczy 1958   80  0.2350  0.0076  0.0284  0.0256  0.0682  0.03
Fliere 1977   21  0.4058  0.0031  0.1022  0.4371  0.0434  0.13
Fou 1978   45  0.3457  0.0050  0.0551  0.0573  0.0468  0.04
Francois 1956   18  0.4020  0.009  0.129  0.569  0.702  0.63
Friedman 1923   76  0.2559  0.0074  0.0379  0.0367  0.0577  0.04
Friedman 1923b   75  0.2660  0.0072  0.0470  0.0470  0.0474  0.04
Friedman 1930   73  0.2669  0.0079  0.0287  0.0286  0.0391  0.02
Garcia 2007   88  0.1767  0.0066  0.0468  0.0475  0.0472  0.04
Garcia 2007b   84  0.2085  0.0082  0.0285  0.0270  0.0488  0.03
Gierzod 1998   32  0.3716  0.0029  0.0926  0.4154  0.0630  0.16
Gornostaeva 1994   2  0.487  0.025  0.244  0.7011  0.621  0.66
Groot 1988   16  0.4041  0.0027  0.1316  0.4956  0.0531  0.16
Harasiewicz 1955   3  0.473  0.042  0.183  0.7232  0.328  0.48
Hatto 1993   11  0.4274  0.0016  0.1617  0.4852  0.0727  0.18
Hatto 1997   7  0.444  0.036  0.1613  0.5130  0.2814  0.38
Horowitz 1949   81  0.2384  0.0087  0.0283  0.0273  0.0390  0.02
Indjic 1988   9  0.4386  0.008  0.1115  0.5040  0.1919  0.31
Kapell 1951   40  0.3444  0.0035  0.0737  0.2741  0.1029  0.16
Kissin 1993   22  0.4047  0.0034  0.0934  0.3342  0.2620  0.29
Kushner 1989   17  0.4026  0.0022  0.0828  0.4173  0.0435  0.13
Luisada 1991   15  0.4043  0.0024  0.0810  0.5332  0.2515  0.36
Lushtak 2004   77  0.2576  0.0073  0.0377  0.0384  0.0385  0.03
Malcuzynski 1961   24  0.3918  0.0033  0.1030  0.4047  0.0728  0.17
Magaloff 1978   23  0.3925  0.0037  0.0835  0.3056  0.0540  0.12
Magin 1975   12  0.425  0.0212  0.098  0.6028  0.379  0.47
Michalowski 1933   59  0.3068  0.0048  0.0461  0.0421  0.4236  0.13
Milkina 1970   8  0.432  0.094  0.196  0.6527  0.475  0.55
Mohovich 1999   19  0.4021  0.0013  0.097  0.6134  0.3310  0.45
Moravec 1969   36  0.3629  0.0028  0.1025  0.4241  0.1522  0.25
Morozova 2008   38  0.3577  0.0030  0.0831  0.3775  0.0443  0.12
Neighaus 1950   10  0.4310  0.0115  0.1112  0.5216  0.466  0.49
Niedzielski 1931   55  0.3171  0.0046  0.0466  0.0456  0.0567  0.04
Ohlsson 1999   5  0.466  0.0210  0.0911  0.5236  0.2516  0.36
Osinska 1989   4  0.4624  0.007  0.205  0.6926  0.464  0.56
Pachmann 1927   60  0.3066  0.0064  0.0462  0.0443  0.1452  0.07
Paderewski 1930   66  0.2845  0.0057  0.0560  0.0538  0.2942  0.12
Perlemuter 1992   46  0.3434  0.0055  0.0554  0.0535  0.2047  0.10
Pierdomenico 2008   57  0.3037  0.0063  0.0650  0.0634  0.2044  0.11
Poblocka 1999   72  0.2672  0.0081  0.0380  0.0369  0.0565  0.04
Rabcewiczowa 1932   41  0.3479  0.0052  0.0553  0.0560  0.0657  0.05
Rachmaninoff 1923   61  0.2922  0.0054  0.0463  0.0455  0.0566  0.04
Rangell 2001   69  0.2728  0.0065  0.0558  0.0562  0.0476  0.04
Richter 1976   47  0.3440  0.0061  0.0649  0.0672  0.0558  0.05
Rosen 1989   33  0.3712  0.0123  0.0727  0.4163  0.0438  0.13
Rosenthal 1930   74  0.2683  0.0084  0.0373  0.0352  0.0573  0.04
Rosenthal 1931   86  0.1987  0.0085  0.0382  0.0358  0.0570  0.04
Rosenthal 1931b   87  0.1773  0.0088  0.0376  0.0381  0.0387  0.03
Rosenthal 1931c   56  0.3033  0.0060  0.0648  0.0637  0.2046  0.11
Rosenthal 1931d   85  0.2075  0.0080  0.0286  0.0244  0.1263  0.05
Rossi 2007   82  0.2290  0.0083  0.0375  0.0348  0.0756  0.05
Rubinstein 1939   44  0.3435  0.0025  0.0833  0.3442  0.1026  0.18
Rubinstein 1952   6  0.459  0.013  0.262  0.7321  0.533  0.62
Rubinstein 1966   53  0.3253  0.0049  0.0555  0.0586  0.0371  0.04
Schilhawsky 1960   68  0.2754  0.0086  0.0288  0.0273  0.0481  0.03
Shebanova 2002   54  0.3236  0.0071  0.0559  0.0572  0.0561  0.05
Smith 1975   30  0.3714  0.0121  0.0932  0.3636  0.2121  0.27
Sokolov 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sztompka 1959   52  0.3370  0.0056  0.0647  0.0670  0.0459  0.05
Tomsic 1995   26  0.398  0.0219  0.0918  0.4827  0.3013  0.38
Uninsky 1932   42  0.3419  0.0017  0.0921  0.4429  0.2717  0.34
Uninsky 1971   13  0.4215  0.0114  0.1014  0.5041  0.1918  0.31
Wasowski 1980   51  0.3327  0.0051  0.0557  0.0576  0.0464  0.04
Zak 1937   34  0.3655  0.0041  0.0639  0.1851  0.0648  0.10
Zak 1951   31  0.3749  0.0042  0.0740  0.1741  0.1332  0.15
Average   1  0.581  0.611  0.611  0.8664  0.0523  0.21
Random 1   90  0.0456  0.0090  0.0190  0.016  0.4954  0.07
Random 2   89  0.0581  0.0089  0.0289  0.0216  0.3950  0.09
Random 3   91  -0.0188  0.0091  0.0191  0.0114  0.3855  0.06

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).