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  0.6518  0.0121  0.1011  0.3845  0.0629  0.15
Anderszewski 2003   22  0.6127  0.0112  0.1212  0.3833  0.2312  0.30
Ashkenazy 1981   8  0.6813  0.0114  0.0714  0.3532  0.2114  0.27
Bacha 2000   44  0.5419  0.0161  0.0360  0.0375  0.0377  0.03
Badura 1965   42  0.5441  0.0040  0.0733  0.1836  0.3019  0.23
Barbosa 1983   85  0.3652  0.0059  0.0371  0.0355  0.0571  0.04
Biret 1990   9  0.6629  0.0123  0.0426  0.2252  0.0539  0.10
Blet 2003   78  0.4354  0.0073  0.0381  0.0366  0.0482  0.03
Block 1995   83  0.4083  0.0054  0.0375  0.0359  0.0486  0.03
Blumental 1952   52  0.5234  0.0066  0.0364  0.0382  0.0387  0.03
Boshniakovich 1969   15  0.6430  0.018  0.148  0.4127  0.353  0.38
Brailowsky 1960   65  0.4989  0.0065  0.0454  0.0446  0.0660  0.05
Bunin 1987   46  0.5361  0.0027  0.0435  0.1617  0.4515  0.27
Bunin 1987b   56  0.5267  0.0028  0.0736  0.1617  0.4513  0.27
Chiu 1999   72  0.4674  0.0037  0.0544  0.1167  0.0357  0.06
Cohen 1997   84  0.3776  0.0085  0.0382  0.0344  0.1064  0.05
Cortot 1951   45  0.5379  0.0044  0.0642  0.1238  0.1433  0.13
Csalog 1996   74  0.4645  0.0057  0.0374  0.0362  0.0481  0.03
Czerny 1949   37  0.5656  0.0035  0.0432  0.1945  0.0734  0.12
Czerny 1990   48  0.5371  0.0051  0.0548  0.0585  0.0375  0.04
Duchoud 2007   2  0.7017  0.015  0.117  0.424  0.532  0.47
Ezaki 2006   30  0.585  0.0413  0.0715  0.3536  0.1916  0.26
Falvay 1989   80  0.4310  0.0252  0.0457  0.0453  0.0761  0.05
Farrell 1958   34  0.5723  0.0142  0.0643  0.1152  0.0644  0.08
Ferenczy 1958   81  0.4268  0.0070  0.0380  0.0355  0.0572  0.04
Fliere 1977   18  0.6335  0.0020  0.0718  0.3354  0.0531  0.13
Fou 1978   25  0.6024  0.0138  0.0439  0.1462  0.0447  0.07
Francois 1956   63  0.5147  0.0076  0.0369  0.0361  0.0489  0.03
Friedman 1923   69  0.4846  0.0071  0.0455  0.0471  0.0476  0.04
Friedman 1923b   70  0.4758  0.0072  0.0376  0.0353  0.0574  0.04
Friedman 1930   73  0.4677  0.0074  0.0379  0.0380  0.0384  0.03
Garcia 2007   20  0.6264  0.0033  0.0531  0.2052  0.0636  0.11
Garcia 2007b   21  0.6172  0.0036  0.0630  0.2157  0.0540  0.10
Gierzod 1998   5  0.693  0.077  0.142  0.5030  0.267  0.36
Gornostaeva 1994   24  0.608  0.0218  0.0620  0.3112  0.358  0.33
Groot 1988   47  0.5386  0.0045  0.0549  0.0547  0.0758  0.06
Harasiewicz 1955   26  0.606  0.032  0.165  0.4828  0.286  0.37
Hatto 1993   58  0.5284  0.0064  0.0547  0.0551  0.0665  0.05
Hatto 1997   59  0.5280  0.0062  0.0363  0.0370  0.0485  0.03
Horowitz 1949   61  0.5188  0.0058  0.0365  0.0349  0.0862  0.05
Indjic 1988   55  0.5285  0.0063  0.0552  0.0570  0.0470  0.04
Kapell 1951   19  0.6336  0.0011  0.0913  0.3740  0.1024  0.19
Kissin 1993   16  0.6421  0.0122  0.0516  0.3446  0.0532  0.13
Kushner 1989   13  0.6422  0.0124  0.0521  0.2839  0.1420  0.20
Luisada 1991   32  0.5825  0.0141  0.0638  0.1555  0.0541  0.09
Lushtak 2004   36  0.5614  0.0139  0.0537  0.1650  0.0543  0.09
Malcuzynski 1961   62  0.5133  0.0055  0.0359  0.0333  0.1748  0.07
Magaloff 1978   39  0.5511  0.0217  0.0541  0.1244  0.1630  0.14
Magin 1975   14  0.6420  0.019  0.1410  0.3927  0.269  0.32
Michalowski 1933   28  0.6031  0.0132  0.0427  0.2231  0.2618  0.24
Milkina 1970   12  0.6432  0.0025  0.0623  0.2642  0.1521  0.20
Mohovich 1999   23  0.6155  0.0034  0.0524  0.2451  0.0635  0.12
Moravec 1969   86  0.3637  0.0086  0.0362  0.0371  0.0478  0.03
Morozova 2008   35  0.5649  0.0043  0.0640  0.1367  0.0451  0.07
Neighaus 1950   11  0.6581  0.0019  0.0619  0.3238  0.1322  0.20
Niedzielski 1931   79  0.4360  0.0069  0.0286  0.0255  0.0479  0.03
Ohlsson 1999   1  0.771  0.401  0.401  0.619  0.511  0.56
Osinska 1989   41  0.5469  0.0047  0.0553  0.0552  0.0559  0.05
Pachmann 1927   76  0.4428  0.0153  0.0367  0.0319  0.3437  0.10
Paderewski 1930   54  0.5270  0.0068  0.0284  0.0273  0.0390  0.02
Perlemuter 1992   31  0.5842  0.0026  0.0628  0.2164  0.0442  0.09
Pierdomenico 2008   66  0.4975  0.0080  0.0378  0.0362  0.0568  0.04
Poblocka 1999   38  0.5550  0.0029  0.0522  0.2843  0.1225  0.18
Rabcewiczowa 1932   60  0.5262  0.0075  0.0361  0.0372  0.0480  0.03
Rachmaninoff 1923   17  0.6316  0.0115  0.0617  0.3329  0.2017  0.26
Rangell 2001   40  0.5539  0.0056  0.0366  0.0324  0.3338  0.10
Richter 1976   68  0.4815  0.0150  0.0646  0.0631  0.3727  0.15
Rosen 1989   29  0.5948  0.0046  0.0550  0.0576  0.0473  0.04
Rosenthal 1930   27  0.6040  0.0030  0.0525  0.248  0.4411  0.32
Rosenthal 1931   53  0.5290  0.0077  0.0372  0.0334  0.1750  0.07
Rosenthal 1931b   51  0.5282  0.0078  0.0370  0.0335  0.1655  0.07
Rosenthal 1931c   50  0.5343  0.0067  0.0285  0.0227  0.2356  0.07
Rosenthal 1931d   57  0.5238  0.0079  0.0358  0.0329  0.2146  0.08
Rossi 2007   87  0.3465  0.0087  0.0377  0.0361  0.0567  0.04
Rubinstein 1939   71  0.4759  0.0083  0.0368  0.0355  0.0569  0.04
Rubinstein 1952   75  0.4512  0.0182  0.0383  0.0373  0.0488  0.03
Rubinstein 1966   67  0.4857  0.0081  0.0287  0.0262  0.0483  0.03
Schilhawsky 1960   43  0.5426  0.0131  0.0534  0.1840  0.1826  0.18
Shebanova 2002   3  0.6966  0.006  0.136  0.4536  0.2310  0.32
Smith 1975   33  0.574  0.0516  0.0629  0.2132  0.1723  0.19
Sokolov 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sztompka 1959   4  0.697  0.0210  0.109  0.3953  0.0628  0.15
Tomsic 1995   82  0.4044  0.0084  0.0456  0.0443  0.1149  0.07
Uninsky 1932   64  0.4951  0.0048  0.0551  0.0555  0.0663  0.05
Uninsky 1971   77  0.4453  0.0049  0.0645  0.0643  0.1245  0.08
Wasowski 1980   49  0.5373  0.0060  0.0373  0.0362  0.0566  0.04
Zak 1937   7  0.682  0.083  0.123  0.5020  0.274  0.37
Zak 1951   6  0.689  0.024  0.164  0.5020  0.285  0.37
Random 1   90  -0.1863  0.0090  0.0190  0.017  0.5053  0.07
Random 2   88  0.0887  0.0088  0.0188  0.015  0.4852  0.07
Random 3   89  -0.0378  0.0089  0.0189  0.0110  0.4754  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).