Zak 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   19  0.6631  0.0013  0.1020  0.3627  0.2626  0.31
Anderszewski 2003   78  0.3423  0.0066  0.0469  0.0445  0.0764  0.05
Ashkenazy 1981   54  0.5365  0.0017  0.0638  0.1932  0.2138  0.20
Bacha 2000   55  0.5324  0.0049  0.0553  0.0511  0.4743  0.15
Badura 1965   59  0.5166  0.0050  0.0560  0.0545  0.0960  0.07
Barbosa 1983   21  0.6567  0.0032  0.0724  0.3318  0.3920  0.36
Biret 1990   43  0.574  0.0039  0.0643  0.1523  0.2639  0.20
Blet 2003   30  0.6238  0.0041  0.0740  0.1747  0.0650  0.10
Block 1995   70  0.4468  0.0075  0.0377  0.0350  0.0483  0.03
Blumental 1952   76  0.3669  0.0078  0.0472  0.0442  0.1061  0.06
Boshniakovich 1969   45  0.5610  0.0052  0.0551  0.0530  0.2151  0.10
Brailowsky 1960   33  0.6039  0.0042  0.0844  0.1421  0.3532  0.22
Bunin 1987   26  0.6340  0.0035  0.0731  0.2540  0.1541  0.19
Bunin 1987b   28  0.6370  0.0036  0.0832  0.2540  0.1540  0.19
Chiu 1999   18  0.6747  0.0018  0.0614  0.429  0.529  0.47
Cohen 1997   82  0.2341  0.0082  0.0387  0.0351  0.0576  0.04
Cortot 1951   69  0.4548  0.0077  0.0466  0.0469  0.0386  0.03
Csalog 1996   50  0.5432  0.0045  0.0545  0.098  0.5234  0.22
Czerny 1949   38  0.5849  0.0040  0.0735  0.2144  0.0946  0.14
Czerny 1990   24  0.6342  0.0027  0.0621  0.3442  0.1142  0.19
Duchoud 2007   53  0.5343  0.0056  0.0646  0.0648  0.0565  0.05
Ezaki 2006   15  0.6825  0.0024  0.0715  0.4131  0.1831  0.27
Falvay 1989   2  0.816  0.002  0.222  0.622  0.632  0.62
Farrell 1958   52  0.5433  0.0062  0.0559  0.0523  0.2347  0.11
Ferenczy 1958   73  0.415  0.0076  0.0382  0.0376  0.0381  0.03
Fliere 1977   9  0.7150  0.0010  0.1311  0.4716  0.3514  0.41
Fou 1978   10  0.7113  0.0011  0.105  0.5114  0.457  0.48
Francois 1956   12  0.7034  0.009  0.1213  0.4413  0.3718  0.40
Friedman 1923   88  -0.0171  0.0088  0.0288  0.0265  0.0587  0.03
Friedman 1923b   87  0.0072  0.0087  0.0384  0.0376  0.0485  0.03
Friedman 1930   84  0.1821  0.0084  0.0383  0.0366  0.0480  0.03
Garcia 2007   80  0.3126  0.0080  0.0374  0.0323  0.2953  0.09
Garcia 2007b   86  0.1073  0.0086  0.0375  0.0336  0.1162  0.06
Gierzod 1998   36  0.6044  0.0014  0.0634  0.2226  0.2136  0.21
Gornostaeva 1994   46  0.5574  0.0060  0.0648  0.0654  0.0467  0.05
Groot 1988   8  0.7451  0.007  0.179  0.4812  0.4611  0.47
Harasiewicz 1955   34  0.608  0.0019  0.0617  0.4023  0.3221  0.36
Hatto 1993   81  0.3027  0.0054  0.0465  0.0428  0.2154  0.09
Hatto 1997   75  0.3675  0.0055  0.0554  0.0538  0.1257  0.08
Horowitz 1949   5  0.7552  0.003  0.268  0.502  0.564  0.53
Indjic 1988   79  0.3353  0.0053  0.0463  0.0428  0.2549  0.10
Kapell 1951   48  0.5411  0.0068  0.0467  0.0452  0.0573  0.04
Kissin 1993   13  0.7076  0.0012  0.0912  0.468  0.526  0.49
Kushner 1989   37  0.599  0.0047  0.0549  0.0547  0.0663  0.05
Luisada 1991   51  0.5418  0.0016  0.0630  0.2620  0.3328  0.29
Lushtak 2004   16  0.6735  0.0021  0.0710  0.4822  0.3515  0.41
Malcuzynski 1961   14  0.6828  0.0022  0.0619  0.3922  0.3023  0.34
Magaloff 1978   31  0.6254  0.0029  0.0727  0.3128  0.2927  0.30
Magin 1975   71  0.4377  0.0046  0.0555  0.0543  0.1159  0.07
Michalowski 1933   85  0.1578  0.0083  0.0386  0.0374  0.0479  0.03
Milkina 1970   20  0.6555  0.0020  0.0716  0.4111  0.4412  0.42
Mohovich 1999   3  0.7736  0.005  0.156  0.508  0.478  0.48
Moravec 1969   22  0.6429  0.0015  0.0628  0.286  0.5119  0.38
Morozova 2008   41  0.5745  0.0026  0.0637  0.1918  0.2137  0.20
Neighaus 1950   7  0.7419  0.006  0.184  0.614  0.573  0.59
Niedzielski 1931   64  0.4837  0.0059  0.0557  0.056  0.4545  0.15
Ohlsson 1999   40  0.5756  0.0037  0.0742  0.1620  0.2933  0.22
Osinska 1989   49  0.5446  0.0051  0.0550  0.0566  0.0469  0.04
Pachmann 1927   27  0.6314  0.0030  0.0725  0.3210  0.5117  0.40
Paderewski 1930   74  0.3879  0.0079  0.0379  0.0382  0.0288  0.02
Perlemuter 1992   11  0.7057  0.0023  0.0718  0.4016  0.4016  0.40
Pierdomenico 2008   35  0.6080  0.0038  0.0636  0.2010  0.3929  0.28
Poblocka 1999   47  0.5415  0.0058  0.0556  0.0566  0.0370  0.04
Rabcewiczowa 1932   72  0.4312  0.0074  0.0380  0.0370  0.0378  0.03
Rachmaninoff 1923   32  0.6158  0.0025  0.0623  0.3314  0.3622  0.34
Rangell 2001   58  0.522  0.0063  0.0464  0.0435  0.1858  0.08
Richter 1976   42  0.5759  0.0043  0.0639  0.1822  0.2435  0.21
Rosen 1989   56  0.527  0.0070  0.0381  0.0357  0.0484  0.03
Rosenthal 1930   67  0.4781  0.0072  0.0647  0.0653  0.0466  0.05
Rosenthal 1931   65  0.4860  0.0067  0.0471  0.0436  0.1856  0.08
Rosenthal 1931b   66  0.4861  0.0065  0.0558  0.0532  0.1855  0.09
Rosenthal 1931c   57  0.5282  0.0061  0.0562  0.0551  0.0568  0.05
Rosenthal 1931d   61  0.5183  0.0064  0.0473  0.0428  0.2452  0.10
Rossi 2007   83  0.2062  0.0085  0.0378  0.0363  0.0377  0.03
Rubinstein 1939   77  0.3484  0.0081  0.0385  0.0328  0.3248  0.10
Rubinstein 1952   17  0.6785  0.0031  0.0722  0.3411  0.5113  0.42
Rubinstein 1966   29  0.6286  0.0034  0.0829  0.2725  0.3924  0.32
Schilhawsky 1960   23  0.6487  0.0028  0.0626  0.3127  0.2630  0.28
Shebanova 2002   25  0.6330  0.0033  0.0733  0.2319  0.4325  0.31
Smith 1975   39  0.5816  0.0048  0.0561  0.0565  0.0472  0.04
Sokolov 2002   44  0.5688  0.0057  0.0552  0.0553  0.0471  0.04
Sztompka 1959   68  0.4520  0.0073  0.0468  0.0469  0.0474  0.04
Tomsic 1995   6  0.7563  0.008  0.177  0.5010  0.515  0.50
Uninsky 1932   63  0.4917  0.0069  0.0376  0.0361  0.0482  0.03
Uninsky 1971   60  0.5189  0.0071  0.0470  0.0459  0.0475  0.04
Wasowski 1980   62  0.5122  0.0044  0.0841  0.1631  0.1444  0.15
Zak 1937   1  0.981  0.991  0.981  0.991  0.991  0.99
Zak 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Average   4  0.773  0.004  0.183  0.6115  0.3610  0.47
Random 1   89  -0.0790  0.0090  0.0189  0.0157  0.0489  0.02
Random 2   90  -0.2091  0.0089  0.0190  0.0189  0.0290  0.01
Random 3   91  -0.2164  0.0091  0.0191  0.0189  0.0291  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).