Zak 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   18  0.6622  0.0012  0.1019  0.3626  0.2625  0.31
Anderszewski 2003   77  0.3423  0.0065  0.0468  0.0444  0.0764  0.05
Ashkenazy 1981   53  0.5365  0.0016  0.0637  0.1931  0.2137  0.20
Bacha 2000   54  0.5324  0.0048  0.0552  0.0511  0.4742  0.15
Badura 1965   58  0.5166  0.0049  0.0559  0.0544  0.0959  0.07
Barbosa 1983   20  0.6567  0.0031  0.0723  0.3317  0.3919  0.36
Biret 1990   42  0.573  0.0038  0.0642  0.1522  0.2638  0.20
Blet 2003   29  0.6237  0.0040  0.0739  0.1746  0.0649  0.10
Block 1995   69  0.4468  0.0074  0.0376  0.0349  0.0483  0.03
Blumental 1952   75  0.3669  0.0077  0.0471  0.0441  0.1060  0.06
Boshniakovich 1969   44  0.5610  0.0051  0.0550  0.0529  0.2150  0.10
Brailowsky 1960   32  0.6038  0.0041  0.0843  0.1420  0.3531  0.22
Bunin 1987   25  0.6339  0.0034  0.0730  0.2539  0.1540  0.19
Bunin 1987b   27  0.6370  0.0035  0.0831  0.2539  0.1539  0.19
Chiu 1999   17  0.6740  0.0017  0.0613  0.428  0.529  0.47
Cohen 1997   81  0.2341  0.0081  0.0386  0.0350  0.0575  0.04
Cortot 1951   68  0.4547  0.0076  0.0465  0.0468  0.0476  0.04
Csalog 1996   49  0.5431  0.0044  0.0544  0.098  0.5233  0.22
Czerny 1949   37  0.5848  0.0039  0.0734  0.2143  0.0945  0.14
Czerny 1990   23  0.6342  0.0026  0.0620  0.3441  0.1141  0.19
Duchoud 2007   52  0.5343  0.0055  0.0645  0.0647  0.0565  0.05
Ezaki 2006   14  0.6825  0.0023  0.0714  0.4130  0.1830  0.27
Falvay 1989   2  0.816  0.002  0.242  0.622  0.632  0.62
Farrell 1958   51  0.5432  0.0061  0.0558  0.0522  0.2346  0.11
Ferenczy 1958   72  0.414  0.0075  0.0381  0.0375  0.0381  0.03
Fliere 1977   8  0.7149  0.009  0.1310  0.4715  0.3513  0.41
Fou 1978   9  0.715  0.0010  0.104  0.5113  0.457  0.48
Francois 1956   11  0.7033  0.008  0.1212  0.4412  0.3717  0.40
Friedman 1923   87  -0.0171  0.0087  0.0287  0.0264  0.0586  0.03
Friedman 1923b   86  0.0072  0.0086  0.0383  0.0375  0.0485  0.03
Friedman 1930   83  0.1820  0.0083  0.0382  0.0365  0.0480  0.03
Garcia 2007   79  0.3126  0.0079  0.0373  0.0322  0.2952  0.09
Garcia 2007b   85  0.1073  0.0085  0.0374  0.0335  0.1161  0.06
Gierzod 1998   35  0.6044  0.0013  0.0633  0.2225  0.2135  0.21
Gornostaeva 1994   45  0.5550  0.0059  0.0647  0.0653  0.0467  0.05
Groot 1988   7  0.7451  0.006  0.188  0.4811  0.4610  0.47
Harasiewicz 1955   33  0.608  0.0018  0.0616  0.4022  0.3220  0.36
Hatto 1993   80  0.3027  0.0053  0.0464  0.0427  0.2153  0.09
Hatto 1997   74  0.3674  0.0054  0.0553  0.0537  0.1256  0.08
Horowitz 1949   4  0.7552  0.003  0.277  0.502  0.564  0.53
Indjic 1988   78  0.3353  0.0052  0.0462  0.0427  0.2548  0.10
Kapell 1951   47  0.5411  0.0067  0.0466  0.0451  0.0572  0.04
Kissin 1993   12  0.7075  0.0011  0.1011  0.468  0.526  0.49
Kushner 1989   36  0.599  0.0046  0.0548  0.0546  0.0663  0.05
Luisada 1991   50  0.5418  0.0015  0.0629  0.2619  0.3327  0.29
Lushtak 2004   15  0.6734  0.0020  0.079  0.4821  0.3514  0.41
Malcuzynski 1961   13  0.6828  0.0021  0.0618  0.3921  0.3022  0.34
Magaloff 1978   30  0.6254  0.0028  0.0726  0.3127  0.2926  0.30
Magin 1975   70  0.4376  0.0045  0.0554  0.0542  0.1158  0.07
Michalowski 1933   84  0.1577  0.0082  0.0385  0.0373  0.0479  0.03
Milkina 1970   19  0.6555  0.0019  0.0715  0.4110  0.4411  0.42
Mohovich 1999   3  0.7735  0.004  0.165  0.507  0.478  0.48
Moravec 1969   21  0.6429  0.0014  0.0627  0.286  0.5118  0.38
Morozova 2008   40  0.5745  0.0025  0.0736  0.1917  0.2136  0.20
Neighaus 1950   6  0.7419  0.005  0.193  0.613  0.573  0.59
Niedzielski 1931   63  0.4836  0.0058  0.0556  0.056  0.4544  0.15
Ohlsson 1999   39  0.5756  0.0036  0.0741  0.1619  0.2932  0.22
Osinska 1989   48  0.5446  0.0050  0.0549  0.0565  0.0469  0.04
Pachmann 1927   26  0.6314  0.0029  0.0724  0.3210  0.5116  0.40
Paderewski 1930   73  0.3878  0.0078  0.0378  0.0381  0.0287  0.02
Perlemuter 1992   10  0.7057  0.0022  0.0717  0.4015  0.4015  0.40
Pierdomenico 2008   34  0.6079  0.0037  0.0735  0.209  0.3928  0.28
Poblocka 1999   46  0.5412  0.0057  0.0555  0.0565  0.0470  0.04
Rabcewiczowa 1932   71  0.4313  0.0073  0.0379  0.0369  0.0378  0.03
Rachmaninoff 1923   31  0.6158  0.0024  0.0622  0.3313  0.3621  0.34
Rangell 2001   57  0.522  0.0062  0.0463  0.0434  0.1857  0.08
Richter 1976   41  0.5759  0.0042  0.0638  0.1821  0.2434  0.21
Rosen 1989   55  0.527  0.0069  0.0380  0.0356  0.0484  0.03
Rosenthal 1930   66  0.4780  0.0071  0.0646  0.0652  0.0466  0.05
Rosenthal 1931   64  0.4860  0.0066  0.0470  0.0435  0.1855  0.08
Rosenthal 1931b   65  0.4861  0.0064  0.0557  0.0531  0.1854  0.09
Rosenthal 1931c   56  0.5281  0.0060  0.0561  0.0550  0.0568  0.05
Rosenthal 1931d   60  0.5182  0.0063  0.0472  0.0427  0.2451  0.10
Rossi 2007   82  0.2062  0.0084  0.0377  0.0362  0.0377  0.03
Rubinstein 1939   76  0.3483  0.0080  0.0384  0.0328  0.3247  0.10
Rubinstein 1952   16  0.6784  0.0030  0.0721  0.3411  0.5112  0.42
Rubinstein 1966   28  0.6285  0.0033  0.0828  0.2724  0.3923  0.32
Schilhawsky 1960   22  0.6486  0.0027  0.0625  0.3126  0.2629  0.28
Shebanova 2002   24  0.6330  0.0032  0.0732  0.2318  0.4324  0.31
Smith 1975   38  0.5815  0.0047  0.0560  0.0564  0.0471  0.04
Sokolov 2002   43  0.5687  0.0056  0.0551  0.0552  0.0562  0.05
Sztompka 1959   67  0.4516  0.0072  0.0467  0.0468  0.0473  0.04
Tomsic 1995   5  0.7563  0.007  0.176  0.509  0.515  0.50
Uninsky 1932   62  0.4917  0.0068  0.0375  0.0360  0.0482  0.03
Uninsky 1971   59  0.5188  0.0070  0.0469  0.0458  0.0574  0.04
Wasowski 1980   61  0.5121  0.0043  0.0840  0.1630  0.1443  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
Random 1   88  -0.0789  0.0089  0.0188  0.0156  0.0488  0.02
Random 2   89  -0.2090  0.0088  0.0189  0.0188  0.0289  0.01
Random 3   90  -0.2164  0.0090  0.0190  0.0188  0.0290  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).