Zak 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   24  0.5345  0.0020  0.0824  0.3327  0.1933  0.25
Anderszewski 2003   75  0.325  0.0059  0.0746  0.0742  0.1251  0.09
Ashkenazy 1981   36  0.5025  0.0021  0.0721  0.3835  0.1932  0.27
Bacha 2000   48  0.4646  0.0058  0.0647  0.0611  0.4941  0.17
Badura 1965   61  0.4147  0.0049  0.0561  0.0538  0.1552  0.09
Barbosa 1983   13  0.5648  0.0017  0.0913  0.477  0.568  0.51
Biret 1990   43  0.487  0.0027  0.0825  0.3316  0.4620  0.39
Blet 2003   27  0.5314  0.0037  0.0837  0.2131  0.2534  0.23
Block 1995   58  0.4215  0.0067  0.0551  0.0550  0.0474  0.04
Blumental 1952   66  0.3549  0.0071  0.0468  0.0442  0.1059  0.06
Boshniakovich 1969   19  0.5426  0.0018  0.0920  0.3912  0.5513  0.46
Brailowsky 1960   34  0.5150  0.0040  0.0838  0.2111  0.4427  0.30
Bunin 1987   25  0.5351  0.0035  0.0633  0.2639  0.1737  0.21
Bunin 1987b   26  0.5327  0.0036  0.0734  0.2639  0.1736  0.21
Chiu 1999   12  0.5752  0.0011  0.116  0.5711  0.566  0.56
Cohen 1997   83  0.2253  0.0083  0.0381  0.0356  0.0484  0.03
Cortot 1951   69  0.3554  0.0078  0.0287  0.0262  0.0485  0.03
Csalog 1996   38  0.4916  0.0028  0.0736  0.215  0.5723  0.35
Czerny 1949   57  0.4355  0.0060  0.0463  0.0455  0.0572  0.04
Czerny 1990   51  0.4656  0.0046  0.0555  0.0565  0.0476  0.04
Duchoud 2007   46  0.4757  0.0056  0.0550  0.0566  0.0473  0.04
Ezaki 2006   30  0.5228  0.0034  0.0830  0.3037  0.1238  0.19
Falvay 1989   3  0.658  0.005  0.174  0.647  0.545  0.59
Farrell 1958   59  0.4258  0.0054  0.0467  0.0424  0.3246  0.11
Ferenczy 1958   74  0.3259  0.0077  0.0286  0.0268  0.0387  0.02
Fliere 1977   15  0.569  0.0024  0.0722  0.3833  0.2130  0.28
Fou 1978   8  0.5929  0.009  0.107  0.5616  0.449  0.50
Francois 1956   14  0.5660  0.0015  0.1116  0.4317  0.3919  0.41
Friedman 1923   87  0.1461  0.0086  0.0380  0.0370  0.0486  0.03
Friedman 1923b   85  0.1617  0.0085  0.0473  0.0469  0.0475  0.04
Friedman 1930   81  0.242  0.0076  0.0383  0.0371  0.0381  0.03
Garcia 2007   79  0.313  0.0074  0.0382  0.0322  0.3449  0.10
Garcia 2007b   84  0.1830  0.0084  0.0474  0.0433  0.2450  0.10
Gierzod 1998   41  0.4862  0.0041  0.0840  0.1936  0.1543  0.17
Gornostaeva 1994   55  0.446  0.0066  0.0845  0.0857  0.0460  0.06
Groot 1988   11  0.5863  0.0012  0.0814  0.4520  0.3718  0.41
Harasiewicz 1955   23  0.5431  0.007  0.149  0.5212  0.3814  0.44
Hatto 1993   78  0.3164  0.0057  0.0648  0.0656  0.0565  0.05
Hatto 1997   71  0.3365  0.0044  0.0644  0.1246  0.0655  0.08
Horowitz 1949   5  0.6366  0.002  0.288  0.546  0.517  0.52
Indjic 1988   70  0.3418  0.0042  0.1039  0.1940  0.1542  0.17
Kapell 1951   37  0.4932  0.0053  0.0464  0.0453  0.0569  0.04
Kissin 1993   10  0.5967  0.0010  0.1111  0.5113  0.4710  0.49
Kushner 1989   35  0.5010  0.0050  0.0552  0.0547  0.0662  0.05
Luisada 1991   31  0.5168  0.008  0.1215  0.4316  0.4116  0.42
Lushtak 2004   6  0.6033  0.006  0.123  0.654  0.603  0.62
Malcuzynski 1961   9  0.5969  0.0014  0.1210  0.5127  0.3317  0.41
Magaloff 1978   29  0.5219  0.0025  0.0818  0.4028  0.2328  0.30
Magin 1975   63  0.3920  0.0029  0.0642  0.1540  0.1444  0.14
Michalowski 1933   82  0.2470  0.0072  0.0376  0.0356  0.0570  0.04
Milkina 1970   33  0.5171  0.0030  0.0627  0.3217  0.3625  0.34
Mohovich 1999   4  0.6434  0.004  0.125  0.607  0.604  0.60
Moravec 1969   28  0.5272  0.0026  0.0631  0.2623  0.3129  0.28
Morozova 2008   45  0.4735  0.0038  0.0835  0.2231  0.1540  0.18
Neighaus 1950   2  0.6511  0.003  0.302  0.706  0.582  0.64
Niedzielski 1931   62  0.4173  0.0051  0.0470  0.0411  0.3945  0.12
Ohlsson 1999   32  0.514  0.0022  0.0723  0.3529  0.2331  0.28
Osinska 1989   40  0.4921  0.0045  0.0649  0.0642  0.1253  0.08
Pachmann 1927   18  0.5512  0.0019  0.0817  0.4112  0.5412  0.47
Paderewski 1930   72  0.3374  0.0079  0.0384  0.0372  0.0379  0.03
Perlemuter 1992   21  0.5422  0.0032  0.0632  0.2623  0.3826  0.31
Pierdomenico 2008   54  0.4575  0.0065  0.0553  0.0531  0.2148  0.10
Poblocka 1999   47  0.4776  0.0047  0.0562  0.0575  0.0467  0.04
Rabcewiczowa 1932   73  0.3236  0.0080  0.0472  0.0470  0.0378  0.03
Rachmaninoff 1923   49  0.4677  0.0039  0.0841  0.1828  0.2735  0.22
Rangell 2001   44  0.4737  0.0052  0.0556  0.0530  0.2547  0.11
Richter 1976   42  0.4823  0.0043  0.0743  0.1327  0.2839  0.19
Rosen 1989   52  0.4613  0.0063  0.0466  0.0484  0.0383  0.03
Rosenthal 1930   77  0.3138  0.0081  0.0475  0.0473  0.0382  0.03
Rosenthal 1931   76  0.3278  0.0075  0.0378  0.0345  0.0671  0.04
Rosenthal 1931b   67  0.3539  0.0069  0.0471  0.0435  0.1856  0.08
Rosenthal 1931c   64  0.3879  0.0068  0.0554  0.0547  0.0566  0.05
Rosenthal 1931d   65  0.3780  0.0070  0.0469  0.0438  0.1158  0.07
Rossi 2007   86  0.1581  0.0087  0.0377  0.0366  0.0377  0.03
Rubinstein 1939   80  0.2882  0.0082  0.0385  0.0331  0.2454  0.08
Rubinstein 1952   16  0.5583  0.0023  0.0826  0.3316  0.4621  0.39
Rubinstein 1966   22  0.5440  0.0033  0.0829  0.3018  0.4124  0.35
Schilhawsky 1960   20  0.5441  0.0016  0.0919  0.394  0.5811  0.48
Shebanova 2002   17  0.5584  0.0031  0.0628  0.3118  0.4222  0.36
Smith 1975   56  0.4485  0.0062  0.0465  0.0461  0.0468  0.04
Sokolov 2002   39  0.4942  0.0055  0.0559  0.0554  0.0561  0.05
Sztompka 1959   68  0.3543  0.0073  0.0379  0.0378  0.0380  0.03
Tomsic 1995   7  0.6044  0.0013  0.1012  0.4914  0.3815  0.43
Uninsky 1932   53  0.4524  0.0061  0.0560  0.0553  0.0564  0.05
Uninsky 1971   50  0.4686  0.0064  0.0558  0.0552  0.0563  0.05
Wasowski 1980   60  0.4187  0.0048  0.0557  0.0545  0.0957  0.07
Zak 1937   1  0.981  1.001  0.991  1.001  1.001  1.00
Zak 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 1   88  -0.0388  0.0089  0.0188  0.0167  0.0388  0.02
Random 2   90  -0.1389  0.0088  0.0189  0.0185  0.0289  0.01
Random 3   89  -0.0890  0.0090  0.0190  0.0187  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).