Sokolov 2002

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   53  0.3776  0.0054  0.0554  0.0556  0.0469  0.04
Anderszewski 2003   29  0.4329  0.0014  0.0915  0.5051  0.0725  0.19
Ashkenazy 1981   18  0.4538  0.0043  0.0542  0.1420  0.3719  0.23
Bacha 2000   44  0.3935  0.0053  0.0652  0.0634  0.2538  0.12
Badura 1965   56  0.3612  0.0240  0.0644  0.1158  0.0550  0.07
Barbosa 1983   6  0.4925  0.0013  0.1213  0.5151  0.0823  0.20
Biret 1990   10  0.4817  0.0119  0.0911  0.5247  0.0626  0.18
Blet 2003   33  0.4214  0.0116  0.0827  0.405  0.494  0.44
Block 1995   72  0.2942  0.0063  0.0371  0.0367  0.0483  0.03
Blumental 1952   16  0.4621  0.0120  0.1016  0.5038  0.1715  0.29
Boshniakovich 1969   2  0.542  0.192  0.264  0.6723  0.333  0.47
Brailowsky 1960   64  0.3277  0.0066  0.0364  0.0370  0.0475  0.03
Bunin 1987   62  0.3378  0.0067  0.0363  0.0375  0.0385  0.03
Bunin 1987b   68  0.3089  0.0072  0.0377  0.0349  0.0665  0.04
Chiu 1999   78  0.2531  0.0085  0.0286  0.0279  0.0389  0.02
Cohen 1997   86  0.2151  0.0087  0.0365  0.0375  0.0384  0.03
Cortot 1951   81  0.2456  0.0082  0.0287  0.0258  0.0586  0.03
Csalog 1996   31  0.439  0.0228  0.0731  0.3350  0.0535  0.13
Czerny 1949   37  0.4274  0.0045  0.0746  0.0749  0.0749  0.07
Czerny 1990   27  0.4465  0.0036  0.0933  0.3357  0.0537  0.13
Duchoud 2007   70  0.2986  0.0083  0.0278  0.0250  0.0681  0.03
Ezaki 2006   5  0.497  0.055  0.165  0.6535  0.238  0.39
Falvay 1989   40  0.4011  0.0238  0.0839  0.2364  0.0442  0.10
Farrell 1958   25  0.4426  0.0044  0.0643  0.1251  0.0644  0.08
Ferenczy 1958   66  0.3275  0.0069  0.0362  0.0348  0.0757  0.05
Fliere 1977   32  0.4232  0.0025  0.0823  0.4366  0.0530  0.15
Fou 1978   12  0.483  0.086  0.146  0.5730  0.269  0.38
Francois 1956   46  0.3916  0.0122  0.0730  0.3414  0.4310  0.38
Friedman 1923   76  0.2785  0.0071  0.0375  0.0346  0.0673  0.04
Friedman 1923b   77  0.2736  0.0070  0.0376  0.0362  0.0571  0.04
Friedman 1930   84  0.2379  0.0086  0.0370  0.0364  0.0480  0.03
Garcia 2007   85  0.2223  0.0080  0.0373  0.0357  0.0570  0.04
Garcia 2007b   80  0.2487  0.0073  0.0279  0.0261  0.0588  0.03
Gierzod 1998   4  0.536  0.053  0.143  0.6951  0.0624  0.20
Gornostaeva 1994   36  0.4230  0.0029  0.0634  0.3257  0.0536  0.13
Groot 1988   57  0.3657  0.0055  0.0555  0.0561  0.0559  0.05
Harasiewicz 1955   15  0.4718  0.0117  0.0812  0.5157  0.0529  0.16
Hatto 1993   7  0.4920  0.0112  0.1318  0.4939  0.2013  0.31
Hatto 1997   11  0.4827  0.008  0.1510  0.5438  0.2111  0.34
Horowitz 1949   79  0.2490  0.0084  0.0281  0.0255  0.0578  0.03
Indjic 1988   13  0.4753  0.0011  0.1014  0.5039  0.1912  0.31
Kapell 1951   38  0.4110  0.0239  0.1236  0.2652  0.0639  0.12
Kissin 1993   1  0.554  0.064  0.181  0.6912  0.581  0.63
Kushner 1989   9  0.4955  0.0018  0.089  0.5460  0.0527  0.16
Luisada 1991   14  0.478  0.027  0.138  0.5612  0.532  0.54
Lushtak 2004   42  0.4058  0.0033  0.0932  0.3375  0.0441  0.11
Malcuzynski 1961   20  0.4550  0.0031  0.0625  0.4254  0.0628  0.16
Magaloff 1978   35  0.4240  0.0046  0.0650  0.0661  0.0453  0.05
Magin 1975   41  0.4034  0.0049  0.0845  0.0866  0.0451  0.06
Michalowski 1933   87  0.2188  0.0081  0.0280  0.0226  0.2946  0.08
Milkina 1970   3  0.531  0.221  0.222  0.6939  0.245  0.41
Mohovich 1999   22  0.4422  0.019  0.137  0.5641  0.1217  0.26
Moravec 1969   26  0.4448  0.0023  0.0722  0.4447  0.0921  0.20
Morozova 2008   34  0.4245  0.0035  0.0735  0.3250  0.0733  0.15
Neighaus 1950   52  0.3766  0.0056  0.0556  0.0552  0.0560  0.05
Niedzielski 1931   54  0.3733  0.0047  0.0648  0.0631  0.2140  0.11
Ohlsson 1999   8  0.4919  0.0115  0.0924  0.4339  0.2114  0.30
Osinska 1989   30  0.4362  0.0042  0.0640  0.1661  0.0543  0.09
Pachmann 1927   74  0.2972  0.0078  0.0374  0.0338  0.2145  0.08
Paderewski 1930   83  0.2369  0.0074  0.0282  0.0230  0.2052  0.06
Perlemuter 1992   71  0.2980  0.0079  0.0283  0.0260  0.0474  0.03
Pierdomenico 2008   69  0.3067  0.0062  0.0369  0.0355  0.0563  0.04
Poblocka 1999   50  0.3747  0.0057  0.0458  0.0468  0.0562  0.04
Rabcewiczowa 1932   61  0.3337  0.0058  0.0557  0.0568  0.0464  0.04
Rachmaninoff 1923   60  0.3368  0.0052  0.0651  0.0667  0.0454  0.05
Rangell 2001   39  0.4113  0.0134  0.0938  0.2539  0.1920  0.22
Richter 1976   45  0.3960  0.0051  0.0653  0.0667  0.0366  0.04
Rosen 1989   43  0.3928  0.0041  0.0641  0.1671  0.0448  0.08
Rosenthal 1930   67  0.3163  0.0076  0.0366  0.0365  0.0482  0.03
Rosenthal 1931   65  0.3259  0.0068  0.0460  0.0460  0.0467  0.04
Rosenthal 1931b   75  0.2870  0.0075  0.0284  0.0258  0.0587  0.03
Rosenthal 1931c   48  0.3864  0.0037  0.0737  0.2626  0.3016  0.28
Rosenthal 1931d   73  0.2949  0.0064  0.0368  0.0350  0.0672  0.04
Rossi 2007   82  0.2381  0.0077  0.0285  0.0254  0.0576  0.03
Rubinstein 1939   28  0.4382  0.0030  0.0926  0.4042  0.1022  0.20
Rubinstein 1952   17  0.4639  0.0024  0.0720  0.4761  0.0434  0.14
Rubinstein 1966   23  0.4473  0.0026  0.0919  0.4763  0.0532  0.15
Schilhawsky 1960   58  0.3543  0.0061  0.0461  0.0471  0.0379  0.03
Shebanova 2002   51  0.3754  0.0060  0.0367  0.0361  0.0568  0.04
Smith 1975   63  0.3246  0.0065  0.0372  0.0372  0.0477  0.03
Sokolov 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sztompka 1959   47  0.3952  0.0050  0.0647  0.0658  0.0555  0.05
Tomsic 1995   24  0.4415  0.0121  0.0917  0.5023  0.346  0.41
Uninsky 1932   59  0.355  0.0610  0.1128  0.3927  0.427  0.40
Uninsky 1971   49  0.3841  0.0048  0.0649  0.0665  0.0556  0.05
Wasowski 1980   55  0.3644  0.0059  0.0459  0.0461  0.0561  0.04
Zak 1937   19  0.4524  0.0027  0.0721  0.4441  0.1418  0.25
Zak 1951   21  0.4561  0.0032  0.0729  0.3648  0.0631  0.15
Random 1   89  0.0071  0.0089  0.0189  0.0131  0.2158  0.05
Random 2   88  0.0783  0.0088  0.0288  0.0216  0.3647  0.08
Random 3   90  -0.1384  0.0090  0.0190  0.0158  0.0390  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).