Sokolov 2002

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.5917  0.0111  0.098  0.5138  0.2013  0.32
Anderszewski 2003   19  0.5561  0.0013  0.1013  0.4330  0.3611  0.39
Ashkenazy 1981   9  0.595  0.0415  0.0911  0.4719  0.395  0.43
Bacha 2000   46  0.4827  0.0062  0.0466  0.0438  0.1357  0.07
Badura 1965   44  0.4942  0.0027  0.0533  0.2331  0.3318  0.28
Barbosa 1983   69  0.4345  0.0058  0.0458  0.0459  0.0574  0.04
Biret 1990   8  0.6019  0.0117  0.0815  0.4240  0.1422  0.24
Blet 2003   70  0.4344  0.0065  0.0465  0.0439  0.1555  0.08
Block 1995   83  0.3863  0.0070  0.0371  0.0355  0.0577  0.04
Blumental 1952   27  0.5224  0.0035  0.0637  0.1663  0.0456  0.08
Boshniakovich 1969   4  0.623  0.073  0.334  0.5918  0.522  0.55
Brailowsky 1960   80  0.4084  0.0085  0.0463  0.0474  0.0470  0.04
Bunin 1987   66  0.4374  0.0037  0.0542  0.1022  0.4026  0.20
Bunin 1987b   74  0.4282  0.0044  0.0444  0.0827  0.3827  0.17
Chiu 1999   76  0.4185  0.0073  0.0368  0.0373  0.0484  0.03
Cohen 1997   86  0.3464  0.0086  0.0380  0.0369  0.0488  0.03
Cortot 1951   81  0.3865  0.0067  0.0376  0.0353  0.0579  0.04
Csalog 1996   59  0.4525  0.0047  0.0548  0.0549  0.0565  0.05
Czerny 1949   32  0.5155  0.0034  0.0632  0.2349  0.0640  0.12
Czerny 1990   35  0.5147  0.0049  0.0646  0.0665  0.0469  0.05
Duchoud 2007   22  0.5440  0.0032  0.0734  0.216  0.4914  0.32
Ezaki 2006   20  0.557  0.0310  0.0910  0.4726  0.386  0.42
Falvay 1989   63  0.4411  0.0255  0.0552  0.0545  0.0958  0.07
Farrell 1958   25  0.5323  0.0038  0.0543  0.0964  0.0559  0.07
Ferenczy 1958   84  0.3772  0.0075  0.0382  0.0353  0.0487  0.03
Fliere 1977   18  0.5541  0.0014  0.1216  0.4263  0.0431  0.13
Fou 1978   16  0.5638  0.0022  0.1021  0.3354  0.0532  0.13
Francois 1956   51  0.4721  0.0161  0.0549  0.0535  0.2741  0.12
Friedman 1923   73  0.4276  0.0074  0.0459  0.0460  0.0581  0.04
Friedman 1923b   75  0.4230  0.0072  0.0375  0.0354  0.0678  0.04
Friedman 1930   82  0.3888  0.0084  0.0378  0.0364  0.0575  0.04
Garcia 2007   64  0.4339  0.0071  0.0377  0.0351  0.0576  0.04
Garcia 2007b   61  0.4489  0.0064  0.0374  0.0369  0.0490  0.03
Gierzod 1998   2  0.652  0.102  0.231  0.6627  0.424  0.53
Gornostaeva 1994   24  0.5310  0.0320  0.0923  0.3221  0.3712  0.34
Groot 1988   58  0.4569  0.0069  0.0373  0.0369  0.0489  0.03
Harasiewicz 1955   17  0.5529  0.005  0.179  0.5031  0.339  0.41
Hatto 1993   28  0.5256  0.0030  0.1027  0.2848  0.0636  0.13
Hatto 1997   31  0.5252  0.0028  0.0525  0.2959  0.0539  0.12
Horowitz 1949   78  0.4090  0.0076  0.0381  0.0345  0.0864  0.05
Indjic 1988   30  0.5259  0.0029  0.0626  0.2852  0.0538  0.12
Kapell 1951   23  0.5350  0.0024  0.0622  0.3363  0.0442  0.11
Kissin 1993   3  0.6212  0.024  0.163  0.6025  0.483  0.54
Kushner 1989   12  0.5913  0.0121  0.0819  0.4051  0.0630  0.15
Luisada 1991   21  0.5515  0.0119  0.1018  0.4137  0.1719  0.26
Lushtak 2004   43  0.4968  0.0045  0.0556  0.0550  0.0667  0.05
Malcuzynski 1961   37  0.5026  0.0042  0.0639  0.1234  0.1533  0.13
Magaloff 1978   36  0.5134  0.0053  0.0461  0.0460  0.0472  0.04
Magin 1975   15  0.5628  0.009  0.1012  0.4438  0.2215  0.31
Michalowski 1933   57  0.4580  0.0040  0.0540  0.1220  0.3825  0.21
Milkina 1970   5  0.6116  0.018  0.145  0.5737  0.298  0.41
Mohovich 1999   29  0.5279  0.0026  0.0529  0.2660  0.0546  0.11
Moravec 1969   77  0.4046  0.0081  0.0286  0.0251  0.0582  0.03
Morozova 2008   34  0.5153  0.0031  0.0630  0.2453  0.0544  0.11
Neighaus 1950   14  0.5657  0.0023  0.0824  0.3127  0.3016  0.30
Niedzielski 1931   71  0.4237  0.0052  0.0554  0.0548  0.0663  0.05
Ohlsson 1999   1  0.671  0.381  0.382  0.655  0.621  0.63
Osinska 1989   40  0.4966  0.0051  0.0555  0.0565  0.0562  0.05
Pachmann 1927   85  0.3748  0.0082  0.0385  0.0315  0.4243  0.11
Paderewski 1930   79  0.4060  0.0083  0.0370  0.0382  0.0386  0.03
Perlemuter 1992   52  0.4770  0.0046  0.0551  0.0543  0.1252  0.08
Pierdomenico 2008   72  0.4254  0.0077  0.0383  0.0340  0.2154  0.08
Poblocka 1999   39  0.5049  0.0036  0.0536  0.1850  0.0647  0.10
Rabcewiczowa 1932   55  0.4633  0.0057  0.0553  0.0560  0.0473  0.04
Rachmaninoff 1923   26  0.538  0.0316  0.0920  0.3640  0.1621  0.24
Rangell 2001   38  0.5035  0.0050  0.0547  0.0529  0.3435  0.13
Richter 1976   54  0.4631  0.0043  0.0441  0.1132  0.4124  0.21
Rosen 1989   33  0.5143  0.0039  0.0538  0.1554  0.0550  0.09
Rosenthal 1930   48  0.4877  0.0059  0.0462  0.0422  0.4534  0.13
Rosenthal 1931   60  0.4486  0.0078  0.0384  0.0331  0.2649  0.09
Rosenthal 1931b   65  0.4383  0.0079  0.0287  0.0227  0.2860  0.07
Rosenthal 1931c   45  0.4981  0.0056  0.0645  0.0618  0.4728  0.17
Rosenthal 1931d   68  0.4373  0.0080  0.0372  0.0332  0.3051  0.09
Rossi 2007   87  0.3336  0.0087  0.0464  0.0473  0.0471  0.04
Rubinstein 1939   50  0.4851  0.0063  0.0367  0.0368  0.0485  0.03
Rubinstein 1952   42  0.496  0.0354  0.0460  0.0455  0.0580  0.04
Rubinstein 1966   41  0.4962  0.0060  0.0457  0.0458  0.0666  0.05
Schilhawsky 1960   49  0.4818  0.0141  0.0635  0.2040  0.1329  0.16
Shebanova 2002   11  0.5967  0.0012  0.0814  0.4341  0.1520  0.25
Smith 1975   47  0.4858  0.0048  0.0550  0.0544  0.1353  0.08
Sokolov 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sztompka 1959   13  0.5814  0.0118  0.1017  0.4240  0.1917  0.28
Tomsic 1995   67  0.4322  0.0068  0.0379  0.0335  0.2848  0.09
Uninsky 1932   53  0.4620  0.0125  0.0631  0.2440  0.2223  0.23
Uninsky 1971   62  0.4432  0.0033  0.0828  0.2766  0.0537  0.12
Wasowski 1980   56  0.4675  0.0066  0.0369  0.0374  0.0483  0.03
Zak 1937   7  0.604  0.066  0.166  0.5328  0.347  0.42
Zak 1951   6  0.609  0.037  0.207  0.5330  0.3010  0.40
Random 1   89  -0.0687  0.0089  0.0189  0.0114  0.4061  0.06
Random 2   88  0.0671  0.0088  0.0288  0.022  0.5645  0.11
Random 3   90  -0.0778  0.0090  0.0190  0.0121  0.2568  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).