Sokolov 2002

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   11  0.5911  0.0112  0.099  0.5139  0.2013  0.32
Anderszewski 2003   20  0.5558  0.0014  0.0914  0.4331  0.3611  0.39
Ashkenazy 1981   10  0.597  0.0216  0.0912  0.4720  0.395  0.43
Bacha 2000   47  0.4821  0.0063  0.0467  0.0439  0.1358  0.07
Badura 1965   45  0.4944  0.0028  0.0534  0.2332  0.3318  0.28
Barbosa 1983   70  0.4342  0.0059  0.0459  0.0460  0.0575  0.04
Biret 1990   9  0.6023  0.0018  0.0816  0.4241  0.1423  0.24
Blet 2003   71  0.4339  0.0066  0.0466  0.0440  0.1556  0.08
Block 1995   84  0.3860  0.0071  0.0372  0.0356  0.0578  0.04
Blumental 1952   28  0.5227  0.0036  0.0638  0.1664  0.0457  0.08
Boshniakovich 1969   5  0.624  0.024  0.335  0.5919  0.522  0.55
Brailowsky 1960   81  0.4084  0.0086  0.0464  0.0475  0.0471  0.04
Bunin 1987   67  0.4372  0.0038  0.0543  0.1023  0.4027  0.20
Bunin 1987b   75  0.4282  0.0045  0.0445  0.0828  0.3828  0.17
Chiu 1999   77  0.4185  0.0074  0.0369  0.0374  0.0385  0.03
Cohen 1997   87  0.3461  0.0087  0.0381  0.0370  0.0389  0.03
Cortot 1951   82  0.3862  0.0068  0.0377  0.0354  0.0580  0.04
Csalog 1996   60  0.4522  0.0048  0.0549  0.0550  0.0566  0.05
Czerny 1949   33  0.5174  0.0035  0.0633  0.2350  0.0641  0.12
Czerny 1990   36  0.5148  0.0050  0.0647  0.0666  0.0470  0.05
Duchoud 2007   23  0.5437  0.0033  0.0735  0.217  0.4914  0.32
Ezaki 2006   21  0.556  0.0211  0.0911  0.4727  0.386  0.42
Falvay 1989   64  0.4410  0.0156  0.0553  0.0546  0.0959  0.07
Farrell 1958   26  0.5329  0.0039  0.0544  0.0965  0.0560  0.07
Ferenczy 1958   85  0.3769  0.0076  0.0383  0.0354  0.0488  0.03
Fliere 1977   19  0.5545  0.0015  0.1217  0.4264  0.0432  0.13
Fou 1978   17  0.5641  0.0023  0.1022  0.3355  0.0533  0.13
Francois 1956   52  0.4716  0.0062  0.0550  0.0536  0.2742  0.12
Friedman 1923   74  0.4275  0.0075  0.0460  0.0461  0.0582  0.04
Friedman 1923b   76  0.4226  0.0073  0.0376  0.0355  0.0679  0.04
Friedman 1930   83  0.3889  0.0085  0.0379  0.0365  0.0576  0.04
Garcia 2007   65  0.4335  0.0072  0.0378  0.0352  0.0577  0.04
Garcia 2007b   62  0.4490  0.0065  0.0375  0.0370  0.0491  0.03
Gierzod 1998   3  0.653  0.073  0.232  0.6628  0.424  0.53
Gornostaeva 1994   25  0.535  0.0221  0.0824  0.3222  0.3712  0.34
Groot 1988   59  0.4567  0.0070  0.0374  0.0370  0.0490  0.03
Harasiewicz 1955   18  0.5579  0.006  0.1710  0.5032  0.339  0.41
Hatto 1993   29  0.5263  0.0031  0.0928  0.2849  0.0637  0.13
Hatto 1997   32  0.5249  0.0029  0.0526  0.2960  0.0540  0.12
Horowitz 1949   79  0.4091  0.0077  0.0382  0.0346  0.0865  0.05
Indjic 1988   31  0.5255  0.0030  0.0627  0.2853  0.0539  0.12
Kapell 1951   24  0.5350  0.0025  0.0623  0.3364  0.0443  0.11
Kissin 1993   4  0.628  0.025  0.164  0.6026  0.483  0.54
Kushner 1989   13  0.5919  0.0022  0.0820  0.4052  0.0631  0.15
Luisada 1991   22  0.5525  0.0020  0.1019  0.4138  0.1720  0.26
Lushtak 2004   44  0.4965  0.0046  0.0557  0.0551  0.0668  0.05
Malcuzynski 1961   38  0.5020  0.0043  0.0640  0.1235  0.1534  0.13
Magaloff 1978   37  0.5132  0.0054  0.0462  0.0461  0.0473  0.04
Magin 1975   16  0.5624  0.0010  0.1013  0.4439  0.2215  0.31
Michalowski 1933   58  0.4580  0.0041  0.0541  0.1221  0.3826  0.21
Milkina 1970   6  0.6118  0.009  0.146  0.5738  0.298  0.41
Mohovich 1999   30  0.5283  0.0027  0.0530  0.2661  0.0546  0.11
Moravec 1969   78  0.4043  0.0082  0.0287  0.0252  0.0583  0.03
Morozova 2008   35  0.5151  0.0032  0.0631  0.2454  0.0544  0.11
Neighaus 1950   15  0.5654  0.0024  0.0825  0.3128  0.3016  0.30
Niedzielski 1931   72  0.4234  0.0053  0.0555  0.0549  0.0564  0.05
Ohlsson 1999   2  0.672  0.122  0.373  0.656  0.621  0.63
Osinska 1989   41  0.4966  0.0052  0.0556  0.0566  0.0563  0.05
Pachmann 1927   86  0.3746  0.0083  0.0286  0.0216  0.4249  0.09
Paderewski 1930   80  0.4057  0.0084  0.0371  0.0383  0.0387  0.03
Perlemuter 1992   53  0.4770  0.0047  0.0552  0.0544  0.1253  0.08
Pierdomenico 2008   73  0.4252  0.0078  0.0384  0.0341  0.2155  0.08
Poblocka 1999   40  0.5047  0.0037  0.0537  0.1851  0.0547  0.09
Rabcewiczowa 1932   56  0.4631  0.0058  0.0554  0.0561  0.0474  0.04
Rachmaninoff 1923   27  0.5338  0.0017  0.0921  0.3641  0.1622  0.24
Rangell 2001   39  0.5033  0.0051  0.0548  0.0530  0.3436  0.13
Richter 1976   55  0.4628  0.0044  0.0442  0.1133  0.4125  0.21
Rosen 1989   34  0.5140  0.0040  0.0539  0.1555  0.0551  0.09
Rosenthal 1930   49  0.4876  0.0060  0.0463  0.0423  0.4535  0.13
Rosenthal 1931   61  0.4486  0.0079  0.0385  0.0332  0.2650  0.09
Rosenthal 1931b   66  0.4387  0.0080  0.0288  0.0228  0.2861  0.07
Rosenthal 1931c   46  0.4981  0.0057  0.0646  0.0619  0.4729  0.17
Rosenthal 1931d   69  0.4371  0.0081  0.0373  0.0333  0.3052  0.09
Rossi 2007   88  0.3336  0.0088  0.0465  0.0474  0.0472  0.04
Rubinstein 1939   51  0.4856  0.0064  0.0368  0.0369  0.0486  0.03
Rubinstein 1952   43  0.4915  0.0055  0.0461  0.0456  0.0581  0.04
Rubinstein 1966   42  0.4959  0.0061  0.0458  0.0459  0.0667  0.05
Schilhawsky 1960   50  0.4812  0.0142  0.0636  0.2041  0.1330  0.16
Shebanova 2002   12  0.5964  0.0013  0.0815  0.4342  0.1521  0.25
Smith 1975   48  0.4873  0.0049  0.0551  0.0545  0.1354  0.08
Sokolov 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sztompka 1959   14  0.5813  0.0119  0.1018  0.4241  0.1917  0.28
Tomsic 1995   68  0.4317  0.0069  0.0380  0.0336  0.2848  0.09
Uninsky 1932   54  0.4614  0.0126  0.0632  0.2441  0.2224  0.23
Uninsky 1971   63  0.4430  0.0034  0.0829  0.2767  0.0538  0.12
Wasowski 1980   57  0.4677  0.0067  0.0370  0.0375  0.0484  0.03
Zak 1937   8  0.609  0.017  0.167  0.5329  0.347  0.42
Zak 1951   7  0.6053  0.008  0.208  0.5331  0.3010  0.40
Average   1  0.701  0.551  0.541  0.8346  0.0919  0.27
Random 1   90  -0.0688  0.0090  0.0190  0.0114  0.4162  0.06
Random 2   89  0.0668  0.0089  0.0289  0.022  0.5645  0.11
Random 3   91  -0.0778  0.0091  0.0191  0.0121  0.2669  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).