Ferenczy 1958

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   54  0.3556  0.0066  0.0746  0.0750  0.0551  0.06
Anderszewski 2003   30  0.4149  0.0033  0.1029  0.3968  0.0438  0.12
Ashkenazy 1981   76  0.2763  0.0083  0.0473  0.0484  0.0278  0.03
Bacha 2000   79  0.2457  0.0082  0.0378  0.0386  0.0282  0.02
Badura 1965   35  0.4014  0.0139  0.0639  0.1755  0.0543  0.09
Barbosa 1983   23  0.4460  0.0032  0.1130  0.3548  0.0830  0.17
Biret 1990   36  0.4058  0.0026  0.0736  0.2470  0.0440  0.10
Blet 2003   48  0.379  0.0225  0.0735  0.2732  0.1922  0.23
Block 1995   24  0.443  0.114  0.1813  0.5715  0.495  0.53
Blumental 1952   3  0.554  0.083  0.343  0.7413  0.603  0.67
Boshniakovich 1969   40  0.3976  0.0034  0.1134  0.2873  0.0344  0.09
Brailowsky 1960   6  0.525  0.055  0.174  0.6918  0.534  0.60
Bunin 1987   46  0.3761  0.0046  0.0656  0.0659  0.0558  0.05
Bunin 1987b   53  0.3543  0.0058  0.0561  0.0574  0.0463  0.04
Chiu 1999   29  0.4113  0.0119  0.0716  0.5412  0.437  0.48
Cohen 1997   82  0.2362  0.0069  0.0379  0.0380  0.0379  0.03
Cortot 1951   80  0.2470  0.0080  0.0380  0.0360  0.0568  0.04
Csalog 1996   2  0.611  0.351  0.352  0.782  0.691  0.73
Czerny 1949   62  0.3277  0.0068  0.0565  0.0579  0.0366  0.04
Czerny 1990   16  0.4830  0.0013  0.1312  0.5951  0.0626  0.19
Duchoud 2007   86  0.1064  0.0085  0.0376  0.0380  0.0286  0.02
Ezaki 2006   22  0.4554  0.0035  0.1133  0.3066  0.0537  0.12
Falvay 1989   1  0.612  0.202  0.461  0.7915  0.602  0.69
Farrell 1958   83  0.2259  0.0078  0.0386  0.0383  0.0370  0.03
Ferenczy 1958   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fliere 1977   5  0.5323  0.008  0.136  0.6768  0.0527  0.18
Fou 1978   21  0.4529  0.0016  0.0818  0.5243  0.1121  0.24
Francois 1956   85  0.1252  0.0086  0.0383  0.0387  0.0287  0.02
Friedman 1923   68  0.3039  0.0055  0.0560  0.0538  0.1546  0.09
Friedman 1923b   67  0.3136  0.0054  0.0655  0.0642  0.1545  0.09
Friedman 1930   64  0.3228  0.0056  0.0747  0.0751  0.0650  0.06
Garcia 2007   77  0.2771  0.0074  0.0470  0.0447  0.0657  0.05
Garcia 2007b   70  0.2872  0.0071  0.0381  0.0371  0.0481  0.03
Gierzod 1998   11  0.5018  0.0020  0.0815  0.5466  0.0434  0.15
Gornostaeva 1994   14  0.4887  0.0017  0.1117  0.5337  0.2313  0.35
Groot 1988   33  0.418  0.0223  0.0721  0.5139  0.1420  0.27
Harasiewicz 1955   15  0.4842  0.0018  0.1323  0.4850  0.0632  0.17
Hatto 1993   10  0.5011  0.019  0.138  0.6338  0.2014  0.35
Hatto 1997   8  0.5144  0.0010  0.109  0.6340  0.1516  0.31
Horowitz 1949   59  0.3419  0.0037  0.0838  0.1915  0.4319  0.29
Indjic 1988   7  0.5127  0.0011  0.1210  0.6345  0.0824  0.22
Kapell 1951   49  0.3688  0.0051  0.0467  0.0476  0.0371  0.03
Kissin 1993   50  0.3681  0.0052  0.0559  0.0553  0.0749  0.06
Kushner 1989   51  0.3689  0.0060  0.0749  0.0783  0.0354  0.05
Luisada 1991   20  0.466  0.0315  0.0922  0.4923  0.389  0.43
Lushtak 2004   34  0.4116  0.0042  0.0641  0.1586  0.0348  0.07
Malcuzynski 1961   47  0.3738  0.0050  0.0468  0.0466  0.0464  0.04
Magaloff 1978   42  0.3955  0.0053  0.0563  0.0565  0.0460  0.04
Magin 1975   45  0.3768  0.0061  0.0658  0.0657  0.0453  0.05
Michalowski 1933   87  0.0878  0.0087  0.0287  0.0289  0.0188  0.01
Milkina 1970   61  0.3282  0.0073  0.0374  0.0385  0.0284  0.02
Mohovich 1999   17  0.4640  0.0014  0.0914  0.5755  0.0531  0.17
Moravec 1969   13  0.4915  0.0112  0.1111  0.6031  0.2410  0.38
Morozova 2008   73  0.2712  0.0179  0.0377  0.0386  0.0377  0.03
Neighaus 1950   72  0.2850  0.0064  0.0653  0.0653  0.0559  0.05
Niedzielski 1931   55  0.3434  0.0028  0.0732  0.3311  0.4311  0.38
Ohlsson 1999   71  0.2883  0.0072  0.0375  0.0374  0.0375  0.03
Osinska 1989   4  0.5510  0.027  0.197  0.6656  0.0625  0.20
Pachmann 1927   81  0.2451  0.0077  0.0385  0.0372  0.0374  0.03
Paderewski 1930   84  0.1453  0.0084  0.0471  0.0477  0.0373  0.03
Perlemuter 1992   66  0.3221  0.0041  0.0644  0.1144  0.1039  0.10
Pierdomenico 2008   75  0.2741  0.0049  0.0566  0.0565  0.0461  0.04
Poblocka 1999   9  0.5122  0.006  0.195  0.6831  0.318  0.46
Rabcewiczowa 1932   60  0.3335  0.0057  0.0651  0.0672  0.0362  0.04
Rachmaninoff 1923   37  0.4020  0.0043  0.0642  0.1346  0.0641  0.09
Rangell 2001   78  0.2431  0.0081  0.0472  0.0473  0.0467  0.04
Richter 1976   57  0.3465  0.0067  0.0564  0.0586  0.0272  0.03
Rosen 1989   25  0.437  0.0222  0.0919  0.5144  0.1917  0.31
Rosenthal 1930   28  0.4245  0.0045  0.0657  0.0625  0.3935  0.15
Rosenthal 1931   38  0.3948  0.0038  0.0737  0.2219  0.4218  0.30
Rosenthal 1931b   43  0.3974  0.0044  0.0643  0.1218  0.4523  0.23
Rosenthal 1931c   32  0.4117  0.0029  0.0727  0.3920  0.3812  0.38
Rosenthal 1931d   26  0.4337  0.0031  0.0925  0.4311  0.566  0.49
Rossi 2007   74  0.2733  0.0075  0.0469  0.0476  0.0369  0.03
Rubinstein 1939   69  0.2966  0.0076  0.0384  0.0387  0.0283  0.02
Rubinstein 1952   52  0.3669  0.0063  0.0650  0.0687  0.0280  0.03
Rubinstein 1966   41  0.3979  0.0048  0.0562  0.0578  0.0465  0.04
Schilhawsky 1960   58  0.3484  0.0070  0.0382  0.0375  0.0376  0.03
Shebanova 2002   31  0.4175  0.0024  0.0826  0.4265  0.0436  0.13
Smith 1975   39  0.3932  0.0040  0.0540  0.1555  0.0542  0.09
Sokolov 2002   65  0.3285  0.0059  0.0748  0.0762  0.0352  0.05
Sztompka 1959   56  0.3467  0.0065  0.0945  0.0948  0.0547  0.07
Tomsic 1995   44  0.3980  0.0047  0.0652  0.0664  0.0555  0.05
Uninsky 1932   63  0.3246  0.0062  0.0654  0.0664  0.0456  0.05
Uninsky 1971   19  0.4626  0.0030  0.0724  0.4447  0.0729  0.18
Wasowski 1980   27  0.4224  0.0036  0.1328  0.3956  0.0633  0.15
Zak 1937   12  0.4925  0.0021  0.0920  0.5137  0.2315  0.34
Zak 1951   18  0.4673  0.0027  0.0931  0.3439  0.1028  0.18
Random 1   89  -0.0947  0.0089  0.0189  0.0173  0.0289  0.01
Random 2   88  -0.0586  0.0088  0.0188  0.0174  0.0385  0.02
Random 3   90  -0.1490  0.0090  0.0190  0.0186  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).