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  0.6831  0.0024  0.0816  0.4239  0.2029  0.29
Anderszewski 2003   14  0.6623  0.0110  0.0914  0.449  0.468  0.45
Ashkenazy 1981   7  0.6918  0.0114  0.0813  0.4427  0.3021  0.36
Bacha 2000   71  0.4852  0.0079  0.0285  0.0276  0.0390  0.02
Badura 1965   53  0.5612  0.0219  0.0731  0.3417  0.3820  0.36
Barbosa 1983   76  0.4428  0.0060  0.0453  0.0447  0.0758  0.05
Biret 1990   6  0.6922  0.0129  0.0825  0.3723  0.2827  0.32
Blet 2003   49  0.5768  0.0043  0.0443  0.0845  0.0649  0.07
Block 1995   75  0.4569  0.0067  0.0376  0.0376  0.0384  0.03
Blumental 1952   73  0.4524  0.0159  0.0452  0.0468  0.0385  0.03
Boshniakovich 1969   43  0.5973  0.0052  0.0547  0.0564  0.0470  0.04
Brailowsky 1960   67  0.5071  0.0077  0.0381  0.0372  0.0476  0.03
Bunin 1987   18  0.656  0.057  0.096  0.487  0.524  0.50
Bunin 1987b   21  0.6542  0.008  0.098  0.487  0.522  0.50
Chiu 1999   79  0.4283  0.0072  0.0374  0.0369  0.0377  0.03
Cohen 1997   87  0.3250  0.0086  0.0378  0.0374  0.0386  0.03
Cortot 1951   28  0.6377  0.0035  0.0936  0.2917  0.3825  0.33
Csalog 1996   77  0.4436  0.0065  0.0366  0.0367  0.0482  0.03
Czerny 1949   26  0.6311  0.0322  0.0722  0.3928  0.3024  0.34
Czerny 1990   13  0.6758  0.0028  0.0823  0.3837  0.1533  0.24
Duchoud 2007   1  0.761  0.171  0.171  0.573  0.551  0.56
Ezaki 2006   9  0.699  0.035  0.123  0.5010  0.456  0.47
Falvay 1989   63  0.5239  0.0046  0.0548  0.0553  0.0655  0.05
Farrell 1958   47  0.5826  0.0144  0.0444  0.0865  0.0453  0.06
Ferenczy 1958   58  0.5454  0.0058  0.0461  0.0436  0.1450  0.07
Fliere 1977   8  0.6951  0.0025  0.0732  0.3443  0.1234  0.20
Fou 1978   59  0.5466  0.0064  0.0455  0.0460  0.0463  0.04
Francois 1956   44  0.5837  0.0041  0.0741  0.1444  0.1142  0.12
Friedman 1923   84  0.3664  0.0076  0.0370  0.0357  0.0674  0.04
Friedman 1923b   83  0.3674  0.0075  0.0287  0.0248  0.0771  0.04
Friedman 1930   78  0.4482  0.0063  0.0460  0.0453  0.0567  0.04
Garcia 2007   57  0.5480  0.0054  0.0462  0.0429  0.3043  0.11
Garcia 2007b   80  0.4190  0.0073  0.0367  0.0359  0.0489  0.03
Gierzod 1998   10  0.688  0.0327  0.0724  0.3836  0.2030  0.28
Gornostaeva 1994   19  0.6515  0.0221  0.0719  0.4018  0.3816  0.39
Groot 1988   41  0.5946  0.0040  0.0739  0.2054  0.0446  0.09
Harasiewicz 1955   42  0.593  0.083  0.214  0.4914  0.429  0.45
Hatto 1993   66  0.5178  0.0057  0.0551  0.0563  0.0473  0.04
Hatto 1997   54  0.5467  0.0053  0.0465  0.0433  0.1648  0.08
Horowitz 1949   64  0.5276  0.0068  0.0377  0.0352  0.0564  0.04
Indjic 1988   62  0.5284  0.0056  0.0645  0.0640  0.1345  0.09
Kapell 1951   5  0.7013  0.026  0.107  0.4817  0.3711  0.42
Kissin 1993   36  0.6044  0.0049  0.0458  0.0470  0.0381  0.03
Kushner 1989   4  0.7014  0.0220  0.0715  0.4323  0.3514  0.39
Luisada 1991   51  0.5717  0.0145  0.0454  0.0461  0.0461  0.04
Lushtak 2004   27  0.6361  0.0015  0.0712  0.4427  0.2426  0.32
Malcuzynski 1961   22  0.6430  0.0038  0.1035  0.3021  0.2828  0.29
Magaloff 1978   33  0.624  0.0713  0.0940  0.1841  0.1437  0.16
Magin 1975   20  0.6521  0.0133  0.1021  0.3916  0.3122  0.35
Michalowski 1933   52  0.5629  0.0031  0.0628  0.3513  0.4217  0.38
Milkina 1970   32  0.6249  0.0048  0.0546  0.0560  0.0557  0.05
Mohovich 1999   24  0.6327  0.0037  0.0829  0.3549  0.0638  0.14
Moravec 1969   74  0.4538  0.0082  0.0384  0.0381  0.0375  0.03
Morozova 2008   31  0.6240  0.0034  0.1130  0.3532  0.2031  0.26
Neighaus 1950   15  0.6633  0.0032  0.0727  0.3543  0.1035  0.19
Niedzielski 1931   72  0.4785  0.0071  0.0382  0.0373  0.0379  0.03
Ohlsson 1999   2  0.762  0.152  0.222  0.558  0.453  0.50
Osinska 1989   45  0.5843  0.0047  0.0459  0.0460  0.0462  0.04
Pachmann 1927   82  0.3970  0.0083  0.0375  0.0361  0.0565  0.04
Paderewski 1930   60  0.5462  0.0074  0.0383  0.0374  0.0380  0.03
Perlemuter 1992   30  0.6279  0.0017  0.1118  0.4120  0.3418  0.37
Pierdomenico 2008   56  0.5460  0.0066  0.0371  0.0348  0.0856  0.05
Poblocka 1999   25  0.6345  0.0036  0.1137  0.2944  0.0936  0.16
Rabcewiczowa 1932   40  0.5947  0.0042  0.0542  0.1037  0.1640  0.13
Rachmaninoff 1923   17  0.665  0.074  0.119  0.487  0.495  0.48
Rangell 2001   61  0.5359  0.0069  0.0380  0.0365  0.0387  0.03
Richter 1976   38  0.6019  0.0130  0.0634  0.3113  0.4419  0.37
Rosen 1989   48  0.5765  0.0062  0.0463  0.0455  0.0469  0.04
Rosenthal 1930   12  0.6756  0.0026  0.0926  0.367  0.617  0.47
Rosenthal 1931   65  0.5281  0.0070  0.0379  0.0330  0.2047  0.08
Rosenthal 1931b   68  0.4963  0.0078  0.0372  0.0339  0.0960  0.05
Rosenthal 1931c   37  0.6075  0.0051  0.0456  0.0414  0.4739  0.14
Rosenthal 1931d   69  0.4986  0.0081  0.0373  0.0347  0.0672  0.04
Rossi 2007   85  0.3641  0.0080  0.0286  0.0234  0.1852  0.06
Rubinstein 1939   86  0.3572  0.0087  0.0369  0.0384  0.0378  0.03
Rubinstein 1952   81  0.4132  0.0085  0.0368  0.0379  0.0488  0.03
Rubinstein 1966   70  0.4848  0.0084  0.0464  0.0457  0.0566  0.04
Schilhawsky 1960   23  0.6488  0.0016  0.0911  0.4624  0.3912  0.42
Shebanova 2002   35  0.6157  0.0050  0.0457  0.0473  0.0468  0.04
Smith 1975   16  0.667  0.0512  0.0810  0.4720  0.3513  0.41
Sokolov 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sztompka 1959   3  0.7110  0.0311  0.095  0.4919  0.4010  0.44
Tomsic 1995   55  0.5425  0.0161  0.0550  0.0536  0.1944  0.10
Uninsky 1932   50  0.5753  0.0018  0.0733  0.3228  0.3623  0.34
Uninsky 1971   39  0.6016  0.029  0.1017  0.4223  0.3615  0.39
Wasowski 1980   46  0.5835  0.0055  0.0549  0.0558  0.0554  0.05
Zak 1937   34  0.6134  0.0039  0.1038  0.2757  0.0641  0.13
Zak 1951   29  0.6220  0.0123  0.0820  0.3937  0.1532  0.24
Random 1   90  -0.0955  0.0090  0.0190  0.018  0.4851  0.07
Random 2   89  -0.0187  0.0089  0.0189  0.0144  0.0783  0.03
Random 3   88  0.0189  0.0088  0.0188  0.0119  0.2859  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).