Sokolov 2002

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   54  0.3786  0.0055  0.0555  0.0557  0.0470  0.04
Anderszewski 2003   30  0.4355  0.0015  0.0916  0.5052  0.0726  0.19
Ashkenazy 1981   19  0.4538  0.0044  0.0543  0.1421  0.3720  0.23
Bacha 2000   45  0.3931  0.0054  0.0653  0.0635  0.2539  0.12
Badura 1965   57  0.368  0.0141  0.0645  0.1159  0.0551  0.07
Barbosa 1983   7  0.4919  0.0014  0.1214  0.5152  0.0824  0.20
Biret 1990   11  0.4834  0.0020  0.0912  0.5248  0.0627  0.18
Blet 2003   34  0.429  0.0117  0.0828  0.406  0.494  0.44
Block 1995   73  0.2939  0.0064  0.0372  0.0368  0.0484  0.03
Blumental 1952   17  0.4617  0.0121  0.1017  0.5039  0.1715  0.29
Boshniakovich 1969   3  0.542  0.053  0.255  0.6724  0.333  0.47
Brailowsky 1960   65  0.3276  0.0067  0.0365  0.0371  0.0476  0.03
Bunin 1987   63  0.3377  0.0068  0.0364  0.0376  0.0386  0.03
Bunin 1987b   69  0.3090  0.0073  0.0378  0.0350  0.0666  0.04
Chiu 1999   79  0.2528  0.0086  0.0287  0.0280  0.0390  0.02
Cohen 1997   87  0.2146  0.0088  0.0366  0.0376  0.0385  0.03
Cortot 1951   82  0.2456  0.0083  0.0288  0.0259  0.0587  0.03
Csalog 1996   32  0.437  0.0129  0.0732  0.3351  0.0536  0.13
Czerny 1949   38  0.4274  0.0046  0.0747  0.0750  0.0750  0.07
Czerny 1990   28  0.4478  0.0037  0.0934  0.3358  0.0538  0.13
Duchoud 2007   71  0.2987  0.0084  0.0279  0.0251  0.0682  0.03
Ezaki 2006   6  0.4921  0.006  0.156  0.6536  0.238  0.39
Falvay 1989   41  0.4026  0.0039  0.0840  0.2365  0.0443  0.10
Farrell 1958   26  0.4423  0.0045  0.0644  0.1252  0.0646  0.08
Ferenczy 1958   67  0.3275  0.0070  0.0363  0.0349  0.0758  0.05
Fliere 1977   33  0.4237  0.0026  0.0824  0.4367  0.0531  0.15
Fou 1978   13  0.4825  0.007  0.147  0.5731  0.269  0.38
Francois 1956   47  0.3911  0.0123  0.0731  0.3415  0.4310  0.38
Friedman 1923   77  0.2785  0.0072  0.0376  0.0347  0.0674  0.04
Friedman 1923b   78  0.2732  0.0071  0.0377  0.0363  0.0572  0.04
Friedman 1930   85  0.2379  0.0087  0.0371  0.0365  0.0481  0.03
Garcia 2007   86  0.2218  0.0081  0.0374  0.0358  0.0571  0.04
Garcia 2007b   81  0.2488  0.0074  0.0280  0.0262  0.0589  0.03
Gierzod 1998   5  0.535  0.034  0.134  0.6952  0.0625  0.20
Gornostaeva 1994   37  0.4227  0.0030  0.0635  0.3258  0.0537  0.13
Groot 1988   58  0.3657  0.0056  0.0556  0.0562  0.0560  0.05
Harasiewicz 1955   16  0.4715  0.0118  0.0813  0.5158  0.0530  0.16
Hatto 1993   8  0.4929  0.0013  0.1319  0.4940  0.2013  0.31
Hatto 1997   12  0.4835  0.009  0.1511  0.5439  0.2111  0.34
Horowitz 1949   80  0.2491  0.0085  0.0282  0.0256  0.0579  0.03
Indjic 1988   14  0.4752  0.0012  0.1015  0.5040  0.1912  0.31
Kapell 1951   39  0.4116  0.0140  0.1237  0.2653  0.0640  0.12
Kissin 1993   2  0.556  0.025  0.182  0.6913  0.581  0.63
Kushner 1989   10  0.4963  0.0019  0.0810  0.5461  0.0528  0.16
Luisada 1991   15  0.4710  0.018  0.139  0.5613  0.532  0.54
Lushtak 2004   43  0.4058  0.0034  0.0933  0.3376  0.0442  0.11
Malcuzynski 1961   21  0.4554  0.0032  0.0626  0.4255  0.0629  0.16
Magaloff 1978   36  0.4233  0.0047  0.0651  0.0662  0.0454  0.05
Magin 1975   42  0.4053  0.0050  0.0846  0.0867  0.0452  0.06
Michalowski 1933   88  0.2189  0.0082  0.0281  0.0227  0.2948  0.08
Milkina 1970   4  0.533  0.052  0.223  0.6940  0.245  0.41
Mohovich 1999   23  0.4420  0.0010  0.138  0.5642  0.1217  0.26
Moravec 1969   27  0.4445  0.0024  0.0723  0.4448  0.0922  0.20
Morozova 2008   35  0.4249  0.0036  0.0736  0.3251  0.0734  0.15
Neighaus 1950   53  0.3764  0.0057  0.0557  0.0553  0.0561  0.05
Niedzielski 1931   55  0.3730  0.0048  0.0649  0.0632  0.2141  0.11
Ohlsson 1999   9  0.4913  0.0116  0.0925  0.4340  0.2114  0.30
Osinska 1989   31  0.4361  0.0043  0.0641  0.1662  0.0544  0.09
Pachmann 1927   75  0.2972  0.0079  0.0375  0.0339  0.2147  0.08
Paderewski 1930   84  0.2368  0.0075  0.0283  0.0231  0.2053  0.06
Perlemuter 1992   72  0.2980  0.0080  0.0284  0.0261  0.0475  0.03
Pierdomenico 2008   70  0.3065  0.0063  0.0370  0.0356  0.0564  0.04
Poblocka 1999   51  0.3744  0.0058  0.0459  0.0469  0.0563  0.04
Rabcewiczowa 1932   62  0.3336  0.0059  0.0558  0.0569  0.0465  0.04
Rachmaninoff 1923   61  0.3366  0.0053  0.0652  0.0668  0.0455  0.05
Rangell 2001   40  0.4114  0.0135  0.0939  0.2540  0.1921  0.22
Richter 1976   46  0.3967  0.0052  0.0654  0.0668  0.0367  0.04
Rosen 1989   44  0.3924  0.0042  0.0642  0.1672  0.0449  0.08
Rosenthal 1930   68  0.3162  0.0077  0.0367  0.0366  0.0483  0.03
Rosenthal 1931   66  0.3259  0.0069  0.0461  0.0461  0.0468  0.04
Rosenthal 1931b   76  0.2869  0.0076  0.0285  0.0259  0.0588  0.03
Rosenthal 1931c   49  0.3870  0.0038  0.0738  0.2627  0.3016  0.28
Rosenthal 1931d   74  0.2950  0.0065  0.0369  0.0351  0.0673  0.04
Rossi 2007   83  0.2381  0.0078  0.0286  0.0255  0.0577  0.03
Rubinstein 1939   29  0.4382  0.0031  0.0927  0.4043  0.1023  0.20
Rubinstein 1952   18  0.4640  0.0025  0.0721  0.4762  0.0435  0.14
Rubinstein 1966   24  0.4473  0.0027  0.0920  0.4764  0.0533  0.15
Schilhawsky 1960   59  0.3541  0.0062  0.0462  0.0472  0.0380  0.03
Shebanova 2002   52  0.3751  0.0061  0.0368  0.0362  0.0569  0.04
Smith 1975   64  0.3243  0.0066  0.0373  0.0373  0.0478  0.03
Sokolov 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sztompka 1959   48  0.3947  0.0051  0.0648  0.0659  0.0556  0.05
Tomsic 1995   25  0.4412  0.0122  0.0918  0.5024  0.346  0.41
Uninsky 1932   60  0.354  0.0311  0.1129  0.3928  0.427  0.40
Uninsky 1971   50  0.3842  0.0049  0.0650  0.0666  0.0557  0.05
Wasowski 1980   56  0.3648  0.0060  0.0460  0.0462  0.0562  0.04
Zak 1937   20  0.4522  0.0028  0.0722  0.4442  0.1418  0.25
Zak 1951   22  0.4560  0.0033  0.0730  0.3649  0.0632  0.15
Average   1  0.621  0.631  0.621  0.8554  0.0719  0.24
Random 1   90  0.0071  0.0090  0.0190  0.0131  0.2359  0.05
Random 2   89  0.0783  0.0089  0.0289  0.0215  0.3745  0.09
Random 3   91  -0.1384  0.0091  0.0191  0.0156  0.0491  0.02

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).