Zak 1937

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   26  0.5252  0.0029  0.1029  0.2937  0.1333  0.19
Anderszewski 2003   79  0.3027  0.0063  0.0465  0.0449  0.0466  0.04
Ashkenazy 1981   34  0.5053  0.0021  0.0922  0.3638  0.1532  0.23
Bacha 2000   41  0.4828  0.0055  0.0646  0.0613  0.4736  0.17
Badura 1965   65  0.3754  0.0053  0.0553  0.0548  0.0560  0.05
Barbosa 1983   18  0.5655  0.0014  0.0914  0.4510  0.5112  0.48
Biret 1990   27  0.5229  0.0023  0.1018  0.3917  0.4616  0.42
Blet 2003   20  0.5456  0.0035  0.0636  0.2233  0.2431  0.23
Block 1995   61  0.4015  0.0068  0.0470  0.0448  0.0468  0.04
Blumental 1952   62  0.3857  0.0064  0.0467  0.0436  0.1751  0.08
Boshniakovich 1969   15  0.562  0.0013  0.1011  0.4710  0.578  0.52
Brailowsky 1960   30  0.5158  0.0034  0.0732  0.2412  0.4423  0.32
Bunin 1987   28  0.5159  0.0036  0.0534  0.2245  0.0743  0.12
Bunin 1987b   29  0.519  0.0037  0.0635  0.2246  0.0742  0.12
Chiu 1999   6  0.5930  0.004  0.203  0.639  0.613  0.62
Cohen 1997   83  0.225  0.0078  0.0473  0.0452  0.0570  0.04
Cortot 1951   71  0.3560  0.0082  0.0381  0.0372  0.0385  0.03
Csalog 1996   25  0.5331  0.0019  0.0827  0.324  0.5815  0.43
Czerny 1949   59  0.4161  0.0062  0.0647  0.0645  0.0753  0.06
Czerny 1990   49  0.4732  0.0046  0.0464  0.0471  0.0473  0.04
Duchoud 2007   39  0.4933  0.0043  0.0444  0.0854  0.0554  0.06
Ezaki 2006   44  0.4810  0.0039  0.0538  0.1957  0.0546  0.10
Falvay 1989   5  0.6334  0.007  0.144  0.5910  0.486  0.53
Farrell 1958   46  0.4762  0.0051  0.0648  0.0616  0.3739  0.15
Ferenczy 1958   78  0.3063  0.0085  0.0382  0.0384  0.0288  0.02
Fliere 1977   9  0.5816  0.0016  0.0813  0.4530  0.2322  0.32
Fou 1978   10  0.5764  0.0011  0.128  0.5318  0.439  0.48
Francois 1956   24  0.5335  0.0018  0.0819  0.3924  0.3221  0.35
Friedman 1923   86  0.1636  0.0086  0.0472  0.0469  0.0476  0.04
Friedman 1923b   85  0.1837  0.0084  0.0378  0.0355  0.0571  0.04
Friedman 1930   81  0.2338  0.0075  0.0383  0.0376  0.0382  0.03
Garcia 2007   69  0.3517  0.0069  0.0549  0.0519  0.4141  0.14
Garcia 2007b   84  0.2139  0.0077  0.0475  0.0430  0.2548  0.10
Gierzod 1998   40  0.4918  0.0038  0.0540  0.1455  0.0550  0.08
Gornostaeva 1994   57  0.4365  0.0066  0.0466  0.0466  0.0472  0.04
Groot 1988   13  0.5766  0.0012  0.1216  0.4123  0.3420  0.37
Harasiewicz 1955   45  0.4719  0.009  0.1020  0.3838  0.1729  0.25
Hatto 1993   72  0.3411  0.0059  0.0843  0.0860  0.0455  0.06
Hatto 1997   66  0.3667  0.0058  0.0563  0.0560  0.0467  0.04
Horowitz 1949   3  0.6468  0.002  0.286  0.573  0.554  0.56
Indjic 1988   64  0.3769  0.0031  0.0737  0.2141  0.1337  0.17
Kapell 1951   37  0.5040  0.0054  0.0560  0.0570  0.0463  0.04
Kissin 1993   12  0.573  0.0010  0.109  0.5115  0.4511  0.48
Kushner 1989   38  0.4912  0.0052  0.0561  0.0551  0.0462  0.04
Luisada 1991   21  0.5470  0.005  0.1812  0.4711  0.4514  0.46
Lushtak 2004   8  0.5841  0.008  0.115  0.5811  0.525  0.55
Malcuzynski 1961   11  0.5771  0.0024  0.0817  0.4037  0.2026  0.28
Magaloff 1978   32  0.5142  0.0030  0.0923  0.3538  0.1630  0.24
Magin 1975   63  0.3743  0.0042  0.0542  0.0955  0.0552  0.07
Michalowski 1933   82  0.2213  0.0072  0.0385  0.0370  0.0480  0.03
Milkina 1970   35  0.5072  0.0033  0.0631  0.2727  0.3125  0.29
Mohovich 1999   4  0.6320  0.006  0.127  0.5512  0.527  0.53
Moravec 1969   23  0.5373  0.0022  0.0830  0.2920  0.3324  0.31
Morozova 2008   51  0.467  0.0032  0.0633  0.2338  0.1435  0.18
Neighaus 1950   2  0.666  0.003  0.282  0.7010  0.572  0.63
Niedzielski 1931   53  0.4574  0.0048  0.0558  0.055  0.4738  0.15
Ohlsson 1999   22  0.5375  0.0020  0.0826  0.3232  0.2028  0.25
Osinska 1989   43  0.4844  0.0047  0.0552  0.0553  0.0656  0.05
Pachmann 1927   19  0.5576  0.0017  0.0915  0.4210  0.5510  0.48
Paderewski 1930   73  0.3377  0.0081  0.0387  0.0382  0.0287  0.02
Perlemuter 1992   33  0.5078  0.0041  0.0741  0.1436  0.1540  0.14
Pierdomenico 2008   50  0.4721  0.0056  0.0559  0.0525  0.2444  0.11
Poblocka 1999   42  0.488  0.0045  0.0562  0.0576  0.0461  0.04
Rabcewiczowa 1932   76  0.3179  0.0079  0.0380  0.0371  0.0379  0.03
Rachmaninoff 1923   54  0.4580  0.0040  0.0639  0.1632  0.2034  0.18
Rangell 2001   36  0.5045  0.0050  0.0556  0.0529  0.2545  0.11
Richter 1976   56  0.4481  0.0049  0.0555  0.0547  0.0658  0.05
Rosen 1989   48  0.4722  0.0060  0.0554  0.0576  0.0369  0.04
Rosenthal 1930   77  0.3146  0.0083  0.0377  0.0375  0.0383  0.03
Rosenthal 1931   80  0.2723  0.0080  0.0376  0.0353  0.0481  0.03
Rosenthal 1931b   74  0.3214  0.0073  0.0386  0.0353  0.0575  0.04
Rosenthal 1931c   68  0.3582  0.0070  0.0469  0.0471  0.0386  0.03
Rosenthal 1931d   70  0.3583  0.0074  0.0474  0.0456  0.0474  0.04
Rossi 2007   87  0.1084  0.0087  0.0379  0.0365  0.0377  0.03
Rubinstein 1939   75  0.3285  0.0076  0.0384  0.0327  0.3147  0.10
Rubinstein 1952   17  0.5686  0.0025  0.0724  0.3514  0.4717  0.41
Rubinstein 1966   16  0.5647  0.0028  0.0928  0.3217  0.4218  0.37
Schilhawsky 1960   31  0.5187  0.0027  0.0825  0.3315  0.4219  0.37
Shebanova 2002   7  0.5888  0.0015  0.0810  0.4913  0.4813  0.48
Smith 1975   60  0.4148  0.0065  0.0468  0.0481  0.0378  0.03
Sokolov 2002   47  0.4724  0.0061  0.0551  0.0558  0.0557  0.05
Sztompka 1959   67  0.3549  0.0071  0.0471  0.0466  0.0464  0.04
Tomsic 1995   14  0.5725  0.0026  0.1021  0.3836  0.1827  0.26
Uninsky 1932   52  0.4626  0.0057  0.0557  0.0558  0.0559  0.05
Uninsky 1971   55  0.4550  0.0067  0.0550  0.0570  0.0365  0.04
Wasowski 1980   58  0.4251  0.0044  0.0445  0.0744  0.1249  0.09
Zak 1937   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Zak 1951   1  0.981  1.001  0.981  1.001  1.001  1.00
Random 1   88  -0.0289  0.0089  0.0288  0.0255  0.0484  0.03
Random 2   90  -0.1390  0.0088  0.0189  0.0189  0.0189  0.01
Random 3   89  -0.094  0.0090  0.0190  0.0190  0.0190  0.01

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).