Ferenczy 1958

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   12  0.6734  0.0021  0.0613  0.3855  0.0522  0.14
Anderszewski 2003   22  0.6412  0.0239  0.0436  0.1160  0.0441  0.07
Ashkenazy 1981   65  0.5060  0.0060  0.0460  0.0460  0.0468  0.04
Bacha 2000   37  0.6118  0.0110  0.1011  0.4014  0.357  0.37
Badura 1965   32  0.616  0.0434  0.0542  0.0857  0.0547  0.06
Barbosa 1983   60  0.5316  0.0125  0.0829  0.1831  0.1716  0.17
Biret 1990   56  0.5576  0.0050  0.0648  0.0671  0.0458  0.05
Blet 2003   10  0.6831  0.0027  0.0724  0.2832  0.1913  0.23
Block 1995   52  0.589  0.0237  0.0540  0.1060  0.0449  0.06
Blumental 1952   44  0.605  0.047  0.1312  0.3919  0.2112  0.29
Boshniakovich 1969   19  0.6445  0.0051  0.0746  0.0751  0.0650  0.06
Brailowsky 1960   40  0.6130  0.0059  0.0462  0.0458  0.0460  0.04
Bunin 1987   62  0.5244  0.0058  0.0554  0.0534  0.2333  0.11
Bunin 1987b   64  0.5158  0.0057  0.0556  0.0534  0.2331  0.11
Chiu 1999   50  0.5936  0.0038  0.0438  0.1050  0.0444  0.06
Cohen 1997   75  0.4528  0.0061  0.0559  0.0521  0.3128  0.12
Cortot 1951   31  0.6269  0.0048  0.0549  0.0561  0.0471  0.04
Csalog 1996   29  0.6211  0.022  0.115  0.507  0.443  0.47
Czerny 1949   41  0.6067  0.0045  0.0467  0.0451  0.0654  0.05
Czerny 1990   21  0.6433  0.0046  0.0470  0.0476  0.0385  0.03
Duchoud 2007   81  0.3789  0.0079  0.0286  0.0284  0.0288  0.02
Ezaki 2006   18  0.6459  0.0052  0.0745  0.0760  0.0451  0.05
Falvay 1989   70  0.4861  0.0083  0.0381  0.0370  0.0475  0.03
Farrell 1958   72  0.4685  0.0074  0.0382  0.0368  0.0477  0.03
Ferenczy 1958   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fliere 1977   8  0.6950  0.0017  0.0918  0.3451  0.0525  0.13
Fou 1978   39  0.6162  0.0040  0.0443  0.0865  0.0446  0.06
Francois 1956   43  0.6035  0.0033  0.0539  0.1036  0.1529  0.12
Friedman 1923   25  0.6272  0.0029  0.0732  0.1443  0.1619  0.15
Friedman 1923b   33  0.6186  0.0030  0.0633  0.1243  0.1526  0.13
Friedman 1930   23  0.6326  0.0044  0.0444  0.0854  0.0643  0.07
Garcia 2007   47  0.6073  0.0049  0.0557  0.0560  0.0556  0.05
Garcia 2007b   16  0.6620  0.014  0.117  0.4726  0.345  0.40
Gierzod 1998   46  0.6078  0.0047  0.0550  0.0559  0.0555  0.05
Gornostaeva 1994   48  0.6039  0.0053  0.0463  0.0446  0.0657  0.05
Groot 1988   66  0.5047  0.0071  0.0558  0.0571  0.0470  0.04
Harasiewicz 1955   6  0.6914  0.0124  0.1019  0.3359  0.0527  0.13
Hatto 1993   42  0.6013  0.0113  0.0823  0.3152  0.0623  0.14
Hatto 1997   26  0.6243  0.0014  0.0820  0.3147  0.0621  0.14
Horowitz 1949   61  0.5280  0.0069  0.0466  0.0462  0.0565  0.04
Indjic 1988   27  0.6232  0.0015  0.1022  0.3147  0.0620  0.14
Kapell 1951   2  0.711  0.411  0.401  0.639  0.361  0.48
Kissin 1993   51  0.5951  0.0056  0.0551  0.0579  0.0366  0.04
Kushner 1989   49  0.5979  0.0055  0.0461  0.0471  0.0464  0.04
Luisada 1991   15  0.6617  0.0118  0.0816  0.3658  0.0524  0.13
Lushtak 2004   35  0.6157  0.0043  0.0441  0.0965  0.0448  0.06
Malcuzynski 1961   79  0.4225  0.0173  0.0380  0.0376  0.0379  0.03
Magaloff 1978   77  0.4384  0.0078  0.0379  0.0378  0.0473  0.03
Magin 1975   59  0.5346  0.0064  0.0552  0.0577  0.0362  0.04
Michalowski 1933   38  0.6137  0.0031  0.0630  0.1540  0.1517  0.15
Milkina 1970   54  0.5790  0.0068  0.0372  0.0356  0.0478  0.03
Mohovich 1999   28  0.6254  0.0032  0.0528  0.2063  0.0535  0.10
Moravec 1969   68  0.5056  0.0072  0.0553  0.0544  0.1237  0.08
Morozova 2008   55  0.5568  0.0065  0.0465  0.0451  0.0567  0.04
Neighaus 1950   20  0.6423  0.0119  0.0814  0.3842  0.0914  0.18
Niedzielski 1931   13  0.6766  0.0016  0.0815  0.3733  0.2610  0.31
Ohlsson 1999   67  0.5081  0.0063  0.0747  0.0779  0.0353  0.05
Osinska 1989   9  0.6841  0.0022  0.0621  0.3157  0.0430  0.11
Pachmann 1927   57  0.5424  0.0182  0.0285  0.0281  0.0287  0.02
Paderewski 1930   30  0.6275  0.0041  0.0534  0.1247  0.0440  0.07
Perlemuter 1992   3  0.7029  0.008  0.1210  0.4329  0.239  0.31
Pierdomenico 2008   87  0.3055  0.0081  0.0284  0.0268  0.0476  0.03
Poblocka 1999   5  0.707  0.043  0.112  0.5521  0.374  0.45
Rabcewiczowa 1932   53  0.5840  0.0054  0.0464  0.0463  0.0463  0.04
Rachmaninoff 1923   71  0.4774  0.0076  0.0376  0.0371  0.0474  0.03
Rangell 2001   86  0.3164  0.0080  0.0287  0.0277  0.0389  0.02
Richter 1976   63  0.513  0.0535  0.0631  0.1461  0.0538  0.08
Rosen 1989   11  0.6721  0.0111  0.138  0.4631  0.2011  0.30
Rosenthal 1930   74  0.4548  0.0067  0.0373  0.0365  0.0483  0.03
Rosenthal 1931   82  0.3565  0.0085  0.0374  0.0373  0.0481  0.03
Rosenthal 1931b   83  0.3587  0.0086  0.0377  0.0347  0.0672  0.04
Rosenthal 1931c   85  0.3570  0.0077  0.0378  0.0364  0.0486  0.03
Rosenthal 1931d   84  0.3582  0.0087  0.0375  0.0348  0.0669  0.04
Rossi 2007   58  0.5442  0.0070  0.0468  0.0448  0.0752  0.05
Rubinstein 1939   69  0.484  0.0536  0.0637  0.1075  0.0445  0.06
Rubinstein 1952   80  0.4052  0.0066  0.0469  0.0450  0.0759  0.05
Rubinstein 1966   73  0.4683  0.0075  0.0383  0.0379  0.0482  0.03
Schilhawsky 1960   36  0.6188  0.0042  0.0435  0.1156  0.0542  0.07
Shebanova 2002   14  0.6738  0.0012  0.099  0.4450  0.0518  0.15
Smith 1975   17  0.6619  0.0123  0.0917  0.3439  0.0915  0.17
Sokolov 2002   78  0.4263  0.0062  0.0555  0.0580  0.0361  0.04
Sztompka 1959   34  0.6171  0.0020  0.1027  0.2457  0.0532  0.11
Tomsic 1995   76  0.4422  0.0184  0.0371  0.0374  0.0480  0.03
Uninsky 1932   1  0.722  0.066  0.166  0.4827  0.316  0.39
Uninsky 1971   4  0.708  0.025  0.113  0.5418  0.432  0.48
Wasowski 1980   7  0.6910  0.029  0.144  0.5028  0.198  0.31
Zak 1937   24  0.6349  0.0026  0.0725  0.2772  0.0336  0.09
Zak 1951   45  0.6027  0.0028  0.0826  0.2570  0.0434  0.10
Random 1   89  -0.1715  0.0188  0.0289  0.0217  0.2939  0.08
Random 2   90  -0.2577  0.0090  0.0190  0.0184  0.0290  0.01
Random 3   88  -0.1553  0.0089  0.0288  0.0264  0.0484  0.03

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).