Ferenczy 1958

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   27  0.5381  0.0030  0.0628  0.3568  0.0432  0.12
Anderszewski 2003   25  0.5341  0.0024  0.0929  0.3453  0.0431  0.12
Ashkenazy 1981   73  0.3969  0.0066  0.0371  0.0375  0.0384  0.03
Bacha 2000   61  0.4277  0.0042  0.0645  0.1168  0.0448  0.07
Badura 1965   37  0.507  0.0341  0.0940  0.2058  0.0537  0.10
Barbosa 1983   39  0.4925  0.0019  0.0820  0.4155  0.0524  0.14
Biret 1990   52  0.4678  0.0048  0.0747  0.0782  0.0355  0.05
Blet 2003   36  0.5133  0.0039  0.0735  0.2733  0.2011  0.23
Block 1995   31  0.522  0.145  0.1716  0.4942  0.1310  0.25
Blumental 1952   13  0.563  0.094  0.257  0.5725  0.284  0.40
Boshniakovich 1969   29  0.5266  0.0037  0.0836  0.2652  0.0633  0.12
Brailowsky 1960   15  0.555  0.0520  0.0824  0.3921  0.463  0.42
Bunin 1987   57  0.4447  0.0051  0.0552  0.0542  0.1938  0.10
Bunin 1987b   59  0.4344  0.0053  0.0456  0.0441  0.1746  0.08
Chiu 1999   33  0.5115  0.0123  0.0827  0.3639  0.1412  0.22
Cohen 1997   83  0.3656  0.0067  0.0385  0.0344  0.1054  0.05
Cortot 1951   65  0.4184  0.0065  0.0365  0.0348  0.0662  0.04
Csalog 1996   5  0.611  0.331  0.331  0.754  0.651  0.70
Czerny 1949   47  0.4752  0.0060  0.0453  0.0484  0.0381  0.03
Czerny 1990   17  0.5540  0.0026  0.0932  0.3483  0.0339  0.10
Duchoud 2007   88  0.2573  0.0087  0.0386  0.0387  0.0289  0.02
Ezaki 2006   21  0.5459  0.0038  0.0741  0.1769  0.0444  0.08
Falvay 1989   16  0.5511  0.0121  0.0922  0.4043  0.169  0.25
Farrell 1958   82  0.3664  0.0082  0.0381  0.0388  0.0372  0.03
Ferenczy 1958   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fliere 1977   2  0.6218  0.009  0.114  0.6149  0.0713  0.21
Fou 1978   26  0.5324  0.0031  0.0533  0.3173  0.0434  0.11
Francois 1956   79  0.3748  0.0084  0.0378  0.0379  0.0387  0.03
Friedman 1923   48  0.4661  0.0046  0.0846  0.0870  0.0549  0.06
Friedman 1923b   50  0.4660  0.0045  0.0843  0.1559  0.0542  0.09
Friedman 1930   44  0.4829  0.0047  0.0748  0.0771  0.0452  0.05
Garcia 2007   62  0.4262  0.0063  0.0375  0.0385  0.0382  0.03
Garcia 2007b   43  0.4870  0.0032  0.0731  0.3443  0.1018  0.18
Gierzod 1998   20  0.5453  0.0028  0.0626  0.3783  0.0336  0.11
Gornostaeva 1994   23  0.5471  0.0022  0.0823  0.3947  0.0528  0.14
Groot 1988   49  0.4617  0.0143  0.0742  0.1660  0.0543  0.09
Harasiewicz 1955   6  0.6013  0.0117  0.1110  0.5352  0.0521  0.16
Hatto 1993   14  0.556  0.046  0.1413  0.5047  0.0717  0.19
Hatto 1997   10  0.5635  0.0012  0.1014  0.5051  0.0620  0.17
Horowitz 1949   63  0.4232  0.0061  0.0459  0.0456  0.0650  0.05
Indjic 1988   11  0.5620  0.0013  0.1515  0.5048  0.0619  0.17
Kapell 1951   18  0.5526  0.0011  0.106  0.5765  0.0422  0.15
Kissin 1993   45  0.4874  0.0057  0.0367  0.0379  0.0379  0.03
Kushner 1989   46  0.4787  0.0058  0.0362  0.0370  0.0473  0.03
Luisada 1991   8  0.589  0.0314  0.1311  0.5237  0.186  0.31
Lushtak 2004   38  0.5034  0.0044  0.0744  0.1569  0.0447  0.08
Malcuzynski 1961   70  0.4027  0.0055  0.0363  0.0382  0.0374  0.03
Magaloff 1978   68  0.4082  0.0075  0.0380  0.0381  0.0366  0.03
Magin 1975   53  0.4645  0.0059  0.0460  0.0479  0.0370  0.03
Michalowski 1933   78  0.3785  0.0056  0.0368  0.0368  0.0478  0.03
Milkina 1970   54  0.4591  0.0072  0.0457  0.0478  0.0457  0.04
Mohovich 1999   28  0.5388  0.0029  0.0821  0.4055  0.0527  0.14
Moravec 1969   51  0.4616  0.0150  0.0550  0.0542  0.1445  0.08
Morozova 2008   66  0.4112  0.0183  0.0382  0.0387  0.0288  0.02
Neighaus 1950   42  0.4854  0.0040  0.0938  0.2666  0.0440  0.10
Niedzielski 1931   35  0.5121  0.0018  0.1018  0.4433  0.218  0.30
Ohlsson 1999   69  0.4089  0.0064  0.0379  0.0384  0.0377  0.03
Osinska 1989   3  0.6114  0.0110  0.109  0.5548  0.0814  0.21
Pachmann 1927   75  0.3855  0.0088  0.0458  0.0483  0.0276  0.03
Paderewski 1930   77  0.3779  0.0071  0.0455  0.0447  0.0559  0.04
Perlemuter 1992   34  0.5119  0.0035  0.0634  0.2742  0.1516  0.20
Pierdomenico 2008   86  0.3151  0.0085  0.0288  0.0276  0.0468  0.03
Poblocka 1999   4  0.618  0.033  0.193  0.6431  0.412  0.51
Rabcewiczowa 1932   56  0.4436  0.0052  0.0461  0.0485  0.0371  0.03
Rachmaninoff 1923   67  0.4146  0.0078  0.0384  0.0385  0.0367  0.03
Rangell 2001   87  0.2965  0.0086  0.0372  0.0351  0.0561  0.04
Richter 1976   55  0.4557  0.0062  0.0374  0.0378  0.0475  0.03
Rosen 1989   9  0.5731  0.008  0.115  0.5739  0.177  0.31
Rosenthal 1930   64  0.4238  0.0073  0.0366  0.0364  0.0383  0.03
Rosenthal 1931   84  0.3563  0.0080  0.0287  0.0265  0.0480  0.03
Rosenthal 1931b   85  0.3572  0.0081  0.0373  0.0358  0.0563  0.04
Rosenthal 1931c   81  0.3649  0.0074  0.0376  0.0373  0.0386  0.03
Rosenthal 1931d   80  0.3758  0.0077  0.0370  0.0364  0.0485  0.03
Rossi 2007   60  0.4239  0.0070  0.0377  0.0353  0.0656  0.04
Rubinstein 1939   74  0.3975  0.0079  0.0369  0.0387  0.0369  0.03
Rubinstein 1952   72  0.3976  0.0069  0.0551  0.0580  0.0364  0.04
Rubinstein 1966   58  0.4390  0.0068  0.0383  0.0365  0.0560  0.04
Schilhawsky 1960   40  0.4967  0.0049  0.0649  0.0659  0.0451  0.05
Shebanova 2002   22  0.5483  0.0015  0.1217  0.4477  0.0429  0.13
Smith 1975   19  0.5428  0.0025  0.0919  0.4255  0.0523  0.14
Sokolov 2002   76  0.3780  0.0054  0.0454  0.0483  0.0365  0.03
Sztompka 1959   41  0.4822  0.0036  0.0639  0.2579  0.0341  0.09
Tomsic 1995   71  0.3950  0.0076  0.0364  0.0369  0.0558  0.04
Uninsky 1932   30  0.5242  0.0033  0.0930  0.3448  0.0626  0.14
Uninsky 1971   7  0.5930  0.007  0.108  0.5535  0.265  0.38
Wasowski 1980   12  0.5610  0.0316  0.1212  0.5247  0.0815  0.20
Zak 1937   24  0.5423  0.0027  0.1225  0.3974  0.0430  0.12
Zak 1951   32  0.5237  0.0034  0.0837  0.2668  0.0535  0.11
Average   1  0.664  0.092  0.232  0.6475  0.0325  0.14
Random 1   89  -0.1068  0.0089  0.0289  0.0235  0.1553  0.05
Random 2   90  -0.1286  0.0091  0.0191  0.0186  0.0291  0.01
Random 3   91  -0.1443  0.0090  0.0190  0.0159  0.0490  0.02

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).