Zak 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   63  0.3953  0.0077  0.0650  0.0646  0.0768  0.06
Anderszewski 2003   41  0.4554  0.0056  0.0465  0.0455  0.0670  0.05
Ashkenazy 1981   40  0.4638  0.0065  0.0552  0.0531  0.2655  0.11
Bacha 2000   73  0.3655  0.0079  0.0472  0.0472  0.0382  0.03
Badura 1965   67  0.3856  0.0036  0.0535  0.1736  0.1935  0.18
Barbosa 1983   13  0.5557  0.0021  0.1517  0.5338  0.2122  0.33
Biret 1990   4  0.6339  0.003  0.305  0.744  0.634  0.68
Blet 2003   65  0.3958  0.0063  0.0648  0.0642  0.1361  0.09
Block 1995   45  0.4359  0.0054  0.0556  0.0538  0.2057  0.10
Blumental 1952   29  0.5023  0.0034  0.0537  0.1547  0.0854  0.11
Boshniakovich 1969   27  0.5040  0.0011  0.1115  0.5819  0.3918  0.48
Brailowsky 1960   66  0.3910  0.0074  0.0466  0.0467  0.0576  0.04
Bunin 1987   51  0.4241  0.0048  0.0469  0.0429  0.2558  0.10
Bunin 1987b   55  0.4160  0.0049  0.0464  0.0426  0.3151  0.11
Chiu 1999   35  0.4861  0.0035  0.0536  0.1610  0.4526  0.27
Cohen 1997   77  0.3342  0.0072  0.0467  0.0432  0.1763  0.08
Cortot 1951   88  0.2162  0.0088  0.0387  0.0366  0.0388  0.03
Csalog 1996   17  0.544  0.0017  0.1216  0.5512  0.5113  0.53
Czerny 1949   34  0.487  0.0028  0.0930  0.2940  0.3224  0.30
Czerny 1990   14  0.5520  0.0020  0.1514  0.5838  0.4019  0.48
Duchoud 2007   78  0.3243  0.0067  0.0381  0.0324  0.4548  0.12
Ezaki 2006   6  0.6244  0.006  0.176  0.7116  0.538  0.61
Falvay 1989   5  0.633  0.005  0.274  0.748  0.662  0.70
Farrell 1958   50  0.4219  0.0038  0.0538  0.1140  0.2437  0.16
Ferenczy 1958   39  0.4663  0.0043  0.0440  0.1032  0.3434  0.18
Fliere 1977   16  0.5424  0.0027  0.1126  0.3666  0.0543  0.13
Fou 1978   20  0.5214  0.0030  0.1028  0.3439  0.1728  0.24
Francois 1956   69  0.3864  0.0045  0.0445  0.0719  0.3839  0.16
Friedman 1923   64  0.3913  0.0042  0.0439  0.1018  0.5130  0.23
Friedman 1923b   60  0.4065  0.0044  0.0541  0.1013  0.5329  0.23
Friedman 1930   23  0.5125  0.0014  0.1611  0.613  0.745  0.67
Garcia 2007   79  0.3266  0.0075  0.0555  0.0547  0.0672  0.05
Garcia 2007b   62  0.3945  0.0060  0.0553  0.0558  0.0574  0.05
Gierzod 1998   7  0.6032  0.007  0.158  0.6722  0.479  0.56
Gornostaeva 1994   15  0.5433  0.0016  0.1220  0.5117  0.4915  0.50
Groot 1988   54  0.4267  0.0052  0.0560  0.0556  0.0573  0.05
Harasiewicz 1955   12  0.5546  0.0019  0.1612  0.5933  0.4117  0.49
Hatto 1993   30  0.5034  0.0033  0.0633  0.2749  0.0549  0.12
Hatto 1997   22  0.5126  0.0031  0.1027  0.3447  0.0642  0.14
Horowitz 1949   85  0.2547  0.0087  0.0383  0.0377  0.0384  0.03
Indjic 1988   28  0.5068  0.0032  0.0731  0.2948  0.0547  0.12
Kapell 1951   25  0.5169  0.0018  0.1225  0.4033  0.3821  0.39
Kissin 1993   31  0.4970  0.0053  0.0557  0.0543  0.2353  0.11
Kushner 1989   9  0.5827  0.008  0.167  0.6723  0.4311  0.54
Luisada 1991   44  0.4371  0.0061  0.0551  0.0542  0.1859  0.09
Lushtak 2004   26  0.5172  0.0013  0.1518  0.5323  0.4616  0.49
Malcuzynski 1961   33  0.4816  0.0025  0.1122  0.4545  0.1527  0.26
Magaloff 1978   57  0.4028  0.0076  0.0461  0.0478  0.0383  0.03
Magin 1975   11  0.5635  0.0010  0.1110  0.649  0.616  0.62
Michalowski 1933   86  0.2373  0.0082  0.0384  0.0316  0.4452  0.11
Milkina 1970   18  0.5221  0.0022  0.1619  0.5264  0.0538  0.16
Mohovich 1999   19  0.5274  0.0024  0.1023  0.4236  0.2125  0.30
Moravec 1969   56  0.4175  0.0073  0.0378  0.0361  0.0575  0.04
Morozova 2008   71  0.378  0.0064  0.0647  0.0649  0.0767  0.06
Neighaus 1950   84  0.3076  0.0081  0.0288  0.0271  0.0487  0.03
Niedzielski 1931   74  0.3577  0.0066  0.0473  0.0426  0.3050  0.11
Ohlsson 1999   32  0.4948  0.0012  0.1221  0.5010  0.5612  0.53
Osinska 1989   3  0.642  0.004  0.423  0.7614  0.633  0.69
Pachmann 1927   72  0.3649  0.0070  0.0385  0.0317  0.4746  0.12
Paderewski 1930   87  0.2178  0.0080  0.0382  0.0354  0.0577  0.04
Perlemuter 1992   68  0.3879  0.0062  0.0559  0.0525  0.3544  0.13
Pierdomenico 2008   70  0.3780  0.0059  0.0554  0.0525  0.4441  0.15
Poblocka 1999   24  0.5181  0.0029  0.0932  0.2848  0.1133  0.18
Rabcewiczowa 1932   58  0.4050  0.0047  0.0463  0.0449  0.0669  0.05
Rachmaninoff 1923   47  0.4317  0.0051  0.0462  0.0432  0.2756  0.10
Rangell 2001   49  0.4318  0.0041  0.0444  0.0828  0.3736  0.17
Richter 1976   52  0.4211  0.0069  0.0471  0.0466  0.0385  0.03
Rosen 1989   21  0.5236  0.0026  0.1124  0.4120  0.4320  0.42
Rosenthal 1930   82  0.3182  0.0086  0.0380  0.0367  0.0486  0.03
Rosenthal 1931   80  0.326  0.0084  0.0475  0.0471  0.0479  0.04
Rosenthal 1931b   75  0.345  0.0083  0.0476  0.0469  0.0481  0.04
Rosenthal 1931c   81  0.319  0.0085  0.0379  0.0376  0.0389  0.03
Rosenthal 1931d   76  0.3383  0.0078  0.0470  0.0439  0.1764  0.08
Rossi 2007   59  0.4022  0.0040  0.0443  0.0916  0.4432  0.20
Rubinstein 1939   36  0.4751  0.0046  0.0474  0.0437  0.2260  0.09
Rubinstein 1952   10  0.5784  0.0015  0.1313  0.5926  0.4414  0.51
Rubinstein 1966   8  0.5885  0.009  0.189  0.6627  0.4610  0.55
Schilhawsky 1960   48  0.4329  0.0050  0.0468  0.0463  0.0480  0.04
Shebanova 2002   38  0.4686  0.0023  0.1129  0.3124  0.3423  0.32
Smith 1975   37  0.4752  0.0037  0.0734  0.1738  0.2531  0.21
Sokolov 2002   42  0.4587  0.0057  0.0649  0.0630  0.3640  0.15
Sztompka 1959   61  0.3988  0.0068  0.0386  0.0352  0.0578  0.04
Tomsic 1995   43  0.4430  0.0039  0.0442  0.0940  0.1745  0.12
Uninsky 1932   83  0.3089  0.0071  0.0377  0.0348  0.0771  0.05
Uninsky 1971   46  0.4315  0.0058  0.0646  0.0651  0.0666  0.06
Wasowski 1980   53  0.4231  0.0055  0.0558  0.0548  0.0765  0.06
Zak 1937   1  0.961  0.991  0.981  0.991  0.991  0.99
Zak 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Average   2  0.7212  0.002  0.572  0.8627  0.457  0.62
Random 1   91  -0.0937  0.0091  0.0191  0.0172  0.0291  0.01
Random 2   89  0.0090  0.0090  0.0190  0.0161  0.0390  0.02
Random 3   90  -0.0291  0.0089  0.0289  0.0215  0.3562  0.08

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).