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  0.6518  0.0122  0.1012  0.3846  0.0629  0.15
Anderszewski 2003   23  0.6127  0.0113  0.1213  0.3834  0.2312  0.30
Ashkenazy 1981   9  0.6814  0.0115  0.0715  0.3533  0.2114  0.27
Bacha 2000   45  0.5420  0.0162  0.0361  0.0376  0.0378  0.03
Badura 1965   43  0.5446  0.0041  0.0734  0.1837  0.3019  0.23
Barbosa 1983   86  0.3654  0.0060  0.0372  0.0356  0.0572  0.04
Biret 1990   10  0.6632  0.0024  0.0427  0.2253  0.0540  0.10
Blet 2003   79  0.4355  0.0074  0.0382  0.0367  0.0483  0.03
Block 1995   84  0.4084  0.0055  0.0376  0.0360  0.0487  0.03
Blumental 1952   53  0.5235  0.0067  0.0365  0.0383  0.0388  0.03
Boshniakovich 1969   16  0.6431  0.009  0.139  0.4128  0.353  0.38
Brailowsky 1960   66  0.4990  0.0066  0.0455  0.0447  0.0660  0.05
Bunin 1987   47  0.5361  0.0028  0.0436  0.1617  0.4515  0.27
Bunin 1987b   57  0.5267  0.0029  0.0737  0.1617  0.4513  0.27
Chiu 1999   73  0.4673  0.0038  0.0545  0.1168  0.0358  0.06
Cohen 1997   85  0.3776  0.0086  0.0383  0.0345  0.1064  0.05
Cortot 1951   46  0.5379  0.0045  0.0643  0.1239  0.1434  0.13
Csalog 1996   75  0.4649  0.0058  0.0375  0.0363  0.0482  0.03
Czerny 1949   38  0.5657  0.0036  0.0433  0.1946  0.0735  0.12
Czerny 1990   49  0.5374  0.0052  0.0549  0.0586  0.0376  0.04
Duchoud 2007   3  0.7017  0.016  0.108  0.424  0.532  0.47
Ezaki 2006   31  0.586  0.0414  0.0716  0.3537  0.1916  0.26
Falvay 1989   81  0.4311  0.0253  0.0358  0.0354  0.0761  0.05
Farrell 1958   35  0.5723  0.0143  0.0544  0.1153  0.0645  0.08
Ferenczy 1958   82  0.4270  0.0071  0.0381  0.0356  0.0573  0.04
Fliere 1977   19  0.6337  0.0021  0.0719  0.3355  0.0532  0.13
Fou 1978   26  0.6024  0.0139  0.0440  0.1463  0.0448  0.07
Francois 1956   64  0.5147  0.0077  0.0370  0.0362  0.0490  0.03
Friedman 1923   70  0.4845  0.0072  0.0456  0.0472  0.0477  0.04
Friedman 1923b   71  0.4759  0.0073  0.0377  0.0354  0.0575  0.04
Friedman 1930   74  0.4677  0.0075  0.0380  0.0381  0.0385  0.03
Garcia 2007   21  0.6265  0.0034  0.0532  0.2053  0.0637  0.11
Garcia 2007b   22  0.6172  0.0037  0.0631  0.2158  0.0541  0.10
Gierzod 1998   6  0.693  0.068  0.143  0.5031  0.267  0.36
Gornostaeva 1994   25  0.609  0.0219  0.0621  0.3113  0.358  0.33
Groot 1988   48  0.5387  0.0046  0.0550  0.0548  0.0759  0.06
Harasiewicz 1955   27  0.607  0.033  0.166  0.4829  0.286  0.37
Hatto 1993   59  0.5285  0.0065  0.0548  0.0552  0.0665  0.05
Hatto 1997   60  0.5280  0.0063  0.0364  0.0371  0.0486  0.03
Horowitz 1949   62  0.5189  0.0059  0.0366  0.0350  0.0862  0.05
Indjic 1988   56  0.5286  0.0064  0.0453  0.0471  0.0471  0.04
Kapell 1951   20  0.6336  0.0012  0.0914  0.3741  0.1024  0.19
Kissin 1993   17  0.6421  0.0123  0.0517  0.3447  0.0533  0.13
Kushner 1989   14  0.6422  0.0125  0.0522  0.2840  0.1420  0.20
Luisada 1991   33  0.5825  0.0142  0.0639  0.1556  0.0542  0.09
Lushtak 2004   37  0.5615  0.0140  0.0538  0.1651  0.0544  0.09
Malcuzynski 1961   63  0.5134  0.0056  0.0360  0.0334  0.1749  0.07
Magaloff 1978   40  0.5512  0.0218  0.0542  0.1245  0.1630  0.14
Magin 1975   15  0.6419  0.0110  0.1411  0.3928  0.269  0.32
Michalowski 1933   29  0.6030  0.0133  0.0428  0.2232  0.2618  0.24
Milkina 1970   13  0.6433  0.0026  0.0624  0.2643  0.1521  0.20
Mohovich 1999   24  0.6158  0.0035  0.0525  0.2452  0.0636  0.12
Moravec 1969   87  0.3638  0.0087  0.0363  0.0372  0.0479  0.03
Morozova 2008   36  0.5651  0.0044  0.0641  0.1368  0.0452  0.07
Neighaus 1950   12  0.6581  0.0020  0.0520  0.3239  0.1322  0.20
Niedzielski 1931   80  0.4364  0.0070  0.0287  0.0256  0.0480  0.03
Ohlsson 1999   1  0.771  0.381  0.382  0.6110  0.511  0.56
Osinska 1989   42  0.5468  0.0048  0.0454  0.0453  0.0567  0.04
Pachmann 1927   77  0.4428  0.0154  0.0368  0.0320  0.3438  0.10
Paderewski 1930   55  0.5269  0.0069  0.0285  0.0274  0.0391  0.02
Perlemuter 1992   32  0.5842  0.0027  0.0629  0.2165  0.0443  0.09
Pierdomenico 2008   67  0.4975  0.0081  0.0379  0.0363  0.0569  0.04
Poblocka 1999   39  0.5552  0.0030  0.0523  0.2844  0.1226  0.18
Rabcewiczowa 1932   61  0.5262  0.0076  0.0362  0.0373  0.0481  0.03
Rachmaninoff 1923   18  0.6326  0.0116  0.0618  0.3330  0.2017  0.26
Rangell 2001   41  0.5539  0.0057  0.0367  0.0325  0.3339  0.10
Richter 1976   69  0.4816  0.0151  0.0547  0.0532  0.3731  0.14
Rosen 1989   30  0.5948  0.0047  0.0551  0.0577  0.0474  0.04
Rosenthal 1930   28  0.6040  0.0031  0.0526  0.249  0.4411  0.32
Rosenthal 1931   54  0.5291  0.0078  0.0373  0.0335  0.1751  0.07
Rosenthal 1931b   52  0.5282  0.0079  0.0371  0.0336  0.1656  0.07
Rosenthal 1931c   51  0.5343  0.0068  0.0286  0.0228  0.2357  0.07
Rosenthal 1931d   58  0.5241  0.0080  0.0359  0.0330  0.2147  0.08
Rossi 2007   88  0.3466  0.0088  0.0378  0.0362  0.0568  0.04
Rubinstein 1939   72  0.4760  0.0084  0.0369  0.0356  0.0570  0.04
Rubinstein 1952   76  0.4513  0.0183  0.0384  0.0374  0.0489  0.03
Rubinstein 1966   68  0.4856  0.0082  0.0288  0.0263  0.0484  0.03
Schilhawsky 1960   44  0.5429  0.0132  0.0535  0.1841  0.1827  0.18
Shebanova 2002   4  0.6971  0.007  0.137  0.4537  0.2310  0.32
Smith 1975   34  0.575  0.0517  0.0630  0.2133  0.1723  0.19
Sokolov 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sztompka 1959   5  0.698  0.0211  0.1010  0.3954  0.0628  0.15
Tomsic 1995   83  0.4044  0.0085  0.0457  0.0444  0.1150  0.07
Uninsky 1932   65  0.4950  0.0049  0.0552  0.0556  0.0663  0.05
Uninsky 1971   78  0.4453  0.0050  0.0646  0.0644  0.1246  0.08
Wasowski 1980   50  0.5383  0.0061  0.0374  0.0363  0.0566  0.04
Zak 1937   8  0.682  0.074  0.124  0.5021  0.274  0.37
Zak 1951   7  0.6810  0.025  0.165  0.5021  0.285  0.37
Average   2  0.734  0.052  0.231  0.6347  0.0625  0.19
Random 1   91  -0.1863  0.0091  0.0191  0.017  0.5054  0.07
Random 2   89  0.0888  0.0089  0.0189  0.015  0.4853  0.07
Random 3   90  -0.0378  0.0090  0.0190  0.0110  0.4855  0.07

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).