Ferenczy 1958

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.6531  0.0018  0.0716  0.3244  0.1022  0.18
Anderszewski 2003   23  0.5926  0.0015  0.0914  0.3640  0.0921  0.18
Ashkenazy 1981   48  0.5241  0.0033  0.0632  0.2043  0.1127  0.15
Bacha 2000   37  0.5452  0.0041  0.0442  0.0834  0.1834  0.12
Badura 1965   63  0.4919  0.0145  0.0446  0.0767  0.0451  0.05
Barbosa 1983   45  0.5312  0.0131  0.0730  0.2123  0.2817  0.24
Biret 1990   26  0.5873  0.0034  0.0728  0.2243  0.1324  0.17
Blet 2003   5  0.6843  0.0014  0.0912  0.3723  0.319  0.34
Block 1995   58  0.5067  0.0070  0.0460  0.0462  0.0465  0.04
Blumental 1952   64  0.4935  0.0010  0.1323  0.2817  0.2815  0.28
Boshniakovich 1969   56  0.5169  0.0077  0.0383  0.0383  0.0288  0.02
Brailowsky 1960   44  0.5411  0.0169  0.0471  0.0478  0.0455  0.04
Bunin 1987   25  0.5914  0.0129  0.0718  0.3228  0.3212  0.32
Bunin 1987b   27  0.5816  0.0130  0.0919  0.3129  0.3311  0.32
Chiu 1999   78  0.4046  0.0076  0.0386  0.0379  0.0371  0.03
Cohen 1997   76  0.4010  0.0140  0.0539  0.1127  0.2128  0.15
Cortot 1951   7  0.6630  0.008  0.117  0.4511  0.465  0.45
Csalog 1996   38  0.549  0.0236  0.0529  0.2217  0.4014  0.30
Czerny 1949   18  0.6138  0.0023  0.0615  0.3537  0.1718  0.24
Czerny 1990   13  0.6336  0.0026  0.0626  0.2656  0.0537  0.11
Duchoud 2007   62  0.4974  0.0060  0.0461  0.0452  0.0564  0.04
Ezaki 2006   9  0.665  0.0317  0.1010  0.4071  0.0432  0.13
Falvay 1989   52  0.5118  0.0144  0.0444  0.0771  0.0446  0.05
Farrell 1958   49  0.5270  0.0064  0.0466  0.0486  0.0374  0.03
Ferenczy 1958   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fliere 1977   19  0.6185  0.0048  0.0458  0.0486  0.0370  0.03
Fou 1978   66  0.4878  0.0074  0.0385  0.0375  0.0475  0.03
Francois 1956   24  0.5915  0.0139  0.0638  0.1239  0.1533  0.13
Friedman 1923   83  0.3566  0.0056  0.0555  0.0544  0.1442  0.08
Friedman 1923b   85  0.3577  0.0055  0.0557  0.0544  0.1241  0.08
Friedman 1930   69  0.4557  0.0050  0.0647  0.0641  0.1539  0.09
Garcia 2007   61  0.5064  0.0052  0.0650  0.0661  0.0450  0.05
Garcia 2007b   74  0.4117  0.0132  0.0635  0.1633  0.1429  0.15
Gierzod 1998   28  0.5772  0.0049  0.0649  0.0661  0.0449  0.05
Gornostaeva 1994   39  0.5425  0.0066  0.0472  0.0486  0.0281  0.03
Groot 1988   32  0.5537  0.0058  0.0556  0.0553  0.0469  0.04
Harasiewicz 1955   50  0.5221  0.0138  0.0736  0.1486  0.0252  0.05
Hatto 1993   67  0.4880  0.0022  0.0834  0.2056  0.0538  0.10
Hatto 1997   34  0.5524  0.0112  0.1320  0.3036  0.1420  0.20
Horowitz 1949   73  0.4242  0.0082  0.0374  0.0375  0.0377  0.03
Indjic 1988   54  0.5175  0.0021  0.0731  0.2145  0.0931  0.14
Kapell 1951   1  0.781  0.561  0.561  0.735  0.501  0.60
Kissin 1993   60  0.5079  0.0078  0.0384  0.0381  0.0379  0.03
Kushner 1989   35  0.5559  0.0061  0.0554  0.0573  0.0358  0.04
Luisada 1991   29  0.5722  0.0146  0.0375  0.0351  0.0554  0.04
Lushtak 2004   17  0.6247  0.0016  0.1113  0.3660  0.0435  0.12
Malcuzynski 1961   68  0.4860  0.0080  0.0373  0.0380  0.0376  0.03
Magaloff 1978   70  0.4476  0.0081  0.0467  0.0479  0.0372  0.03
Magin 1975   79  0.3986  0.0083  0.0387  0.0375  0.0373  0.03
Michalowski 1933   46  0.5383  0.0011  0.1211  0.4015  0.426  0.41
Milkina 1970   47  0.5228  0.0079  0.0464  0.0453  0.0560  0.04
Mohovich 1999   15  0.638  0.0228  0.0827  0.2352  0.0536  0.11
Moravec 1969   53  0.5123  0.0163  0.0553  0.0545  0.1440  0.08
Morozova 2008   59  0.5061  0.0059  0.0376  0.0385  0.0287  0.02
Neighaus 1950   30  0.5688  0.0035  0.0640  0.1170  0.0444  0.07
Niedzielski 1931   43  0.5458  0.0047  0.0459  0.0446  0.0557  0.04
Ohlsson 1999   40  0.5462  0.0051  0.0745  0.0770  0.0447  0.05
Osinska 1989   12  0.6434  0.0025  0.0624  0.2744  0.0925  0.16
Pachmann 1927   71  0.4353  0.0086  0.0378  0.0384  0.0378  0.03
Paderewski 1930   11  0.6471  0.0020  0.0722  0.2916  0.3313  0.31
Perlemuter 1992   16  0.6255  0.0024  0.0817  0.3248  0.0630  0.14
Pierdomenico 2008   84  0.3550  0.0084  0.0380  0.0384  0.0285  0.02
Poblocka 1999   2  0.752  0.062  0.342  0.6811  0.472  0.57
Rabcewiczowa 1932   21  0.6039  0.0027  0.0925  0.2729  0.2616  0.26
Rachmaninoff 1923   75  0.4144  0.0075  0.0381  0.0387  0.0284  0.02
Rangell 2001   82  0.3656  0.0085  0.0468  0.0457  0.0468  0.04
Richter 1976   33  0.554  0.036  0.1433  0.2037  0.1523  0.17
Rosen 1989   36  0.5532  0.0053  0.0551  0.0562  0.0466  0.04
Rosenthal 1930   65  0.4865  0.0065  0.0377  0.0359  0.0480  0.03
Rosenthal 1931   86  0.3363  0.0072  0.0379  0.0384  0.0286  0.02
Rosenthal 1931b   88  0.3084  0.0088  0.0469  0.0471  0.0382  0.03
Rosenthal 1931c   72  0.4249  0.0071  0.0470  0.0484  0.0283  0.03
Rosenthal 1931d   87  0.3381  0.0087  0.0289  0.0285  0.0289  0.02
Rossi 2007   80  0.3782  0.0073  0.0382  0.0357  0.0556  0.04
Rubinstein 1939   81  0.3751  0.0042  0.0441  0.0866  0.0445  0.06
Rubinstein 1952   77  0.4033  0.0043  0.0443  0.0884  0.0353  0.05
Rubinstein 1966   55  0.5148  0.0068  0.0465  0.0476  0.0463  0.04
Schilhawsky 1960   14  0.6354  0.0013  0.148  0.4435  0.298  0.36
Shebanova 2002   31  0.5687  0.0054  0.0648  0.0662  0.0448  0.05
Smith 1975   6  0.676  0.034  0.153  0.5829  0.257  0.38
Sokolov 2002   42  0.5440  0.0037  0.0637  0.1462  0.0443  0.07
Sztompka 1959   4  0.697  0.023  0.185  0.5019  0.404  0.45
Tomsic 1995   41  0.5429  0.0067  0.0463  0.0461  0.0462  0.04
Uninsky 1932   22  0.5913  0.019  0.129  0.4130  0.2910  0.34
Uninsky 1971   8  0.663  0.035  0.144  0.5218  0.403  0.46
Wasowski 1980   20  0.6027  0.0019  0.0721  0.3034  0.1319  0.20
Zak 1937   51  0.5291  0.0062  0.0552  0.0576  0.0459  0.04
Zak 1951   57  0.5089  0.0057  0.0462  0.0470  0.0461  0.04
Average   3  0.7220  0.017  0.126  0.4952  0.0526  0.16
Random 1   90  -0.1990  0.0091  0.0191  0.0180  0.0291  0.01
Random 2   91  -0.2168  0.0090  0.0190  0.0181  0.0290  0.01
Random 3   89  -0.0345  0.0089  0.0288  0.0243  0.0867  0.04

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).