Ferenczy 1958

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   55  0.3556  0.0067  0.0747  0.0751  0.0551  0.06
Anderszewski 2003   31  0.4150  0.0034  0.1030  0.3969  0.0439  0.12
Ashkenazy 1981   77  0.2764  0.0084  0.0374  0.0385  0.0288  0.02
Bacha 2000   80  0.2457  0.0083  0.0379  0.0387  0.0282  0.02
Badura 1965   36  0.4014  0.0140  0.0640  0.1756  0.0544  0.09
Barbosa 1983   24  0.4461  0.0033  0.1031  0.3549  0.0830  0.17
Biret 1990   37  0.4058  0.0027  0.0737  0.2471  0.0441  0.10
Blet 2003   49  0.379  0.0226  0.0736  0.2733  0.1922  0.23
Block 1995   25  0.443  0.115  0.1814  0.5716  0.495  0.53
Blumental 1952   4  0.554  0.083  0.234  0.7414  0.603  0.67
Boshniakovich 1969   41  0.3977  0.0035  0.1135  0.2874  0.0345  0.09
Brailowsky 1960   7  0.525  0.056  0.175  0.6919  0.534  0.60
Bunin 1987   47  0.3762  0.0047  0.0657  0.0660  0.0558  0.05
Bunin 1987b   54  0.3544  0.0059  0.0562  0.0575  0.0463  0.04
Chiu 1999   30  0.4113  0.0120  0.0717  0.5413  0.437  0.48
Cohen 1997   83  0.2363  0.0070  0.0380  0.0381  0.0379  0.03
Cortot 1951   81  0.2471  0.0081  0.0381  0.0361  0.0569  0.04
Csalog 1996   2  0.611  0.351  0.342  0.783  0.691  0.73
Czerny 1949   63  0.3278  0.0069  0.0566  0.0580  0.0366  0.04
Czerny 1990   17  0.4831  0.0014  0.1313  0.5952  0.0626  0.19
Duchoud 2007   87  0.1065  0.0086  0.0377  0.0381  0.0286  0.02
Ezaki 2006   23  0.4555  0.0036  0.1134  0.3067  0.0538  0.12
Falvay 1989   1  0.612  0.202  0.451  0.7916  0.602  0.69
Farrell 1958   84  0.2259  0.0079  0.0387  0.0384  0.0371  0.03
Ferenczy 1958   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fliere 1977   6  0.5323  0.009  0.137  0.6769  0.0527  0.18
Fou 1978   22  0.4530  0.0017  0.0719  0.5244  0.1121  0.24
Francois 1956   86  0.1253  0.0087  0.0384  0.0388  0.0289  0.02
Friedman 1923   69  0.3040  0.0056  0.0561  0.0539  0.1547  0.09
Friedman 1923b   68  0.3137  0.0055  0.0656  0.0643  0.1546  0.09
Friedman 1930   65  0.3229  0.0057  0.0748  0.0752  0.0650  0.06
Garcia 2007   78  0.2772  0.0075  0.0471  0.0448  0.0567  0.04
Garcia 2007b   71  0.2873  0.0072  0.0382  0.0372  0.0481  0.03
Gierzod 1998   12  0.5018  0.0021  0.0816  0.5467  0.0435  0.15
Gornostaeva 1994   15  0.4888  0.0018  0.1018  0.5338  0.2313  0.35
Groot 1988   34  0.418  0.0224  0.0722  0.5140  0.1420  0.27
Harasiewicz 1955   16  0.4843  0.0019  0.1324  0.4851  0.0633  0.17
Hatto 1993   11  0.5011  0.0110  0.139  0.6339  0.2014  0.35
Hatto 1997   9  0.5146  0.0011  0.1010  0.6341  0.1516  0.31
Horowitz 1949   60  0.3419  0.0038  0.0839  0.1916  0.4319  0.29
Indjic 1988   8  0.5128  0.0012  0.1211  0.6346  0.0824  0.22
Kapell 1951   50  0.3689  0.0052  0.0468  0.0477  0.0372  0.03
Kissin 1993   51  0.3682  0.0053  0.0560  0.0554  0.0656  0.05
Kushner 1989   52  0.3690  0.0061  0.0750  0.0784  0.0354  0.05
Luisada 1991   21  0.466  0.0316  0.0923  0.4924  0.389  0.43
Lushtak 2004   35  0.4116  0.0043  0.0642  0.1587  0.0348  0.07
Malcuzynski 1961   48  0.3738  0.0051  0.0469  0.0467  0.0464  0.04
Magaloff 1978   43  0.3960  0.0054  0.0564  0.0566  0.0460  0.04
Magin 1975   46  0.3769  0.0062  0.0659  0.0658  0.0453  0.05
Michalowski 1933   88  0.0879  0.0088  0.0288  0.0290  0.0190  0.01
Milkina 1970   62  0.3283  0.0074  0.0375  0.0386  0.0284  0.02
Mohovich 1999   18  0.4641  0.0015  0.0915  0.5756  0.0532  0.17
Moravec 1969   14  0.4915  0.0113  0.1112  0.6032  0.2410  0.38
Morozova 2008   74  0.2712  0.0180  0.0378  0.0387  0.0378  0.03
Neighaus 1950   73  0.2851  0.0065  0.0654  0.0654  0.0559  0.05
Niedzielski 1931   56  0.3435  0.0029  0.0733  0.3312  0.4311  0.38
Ohlsson 1999   72  0.2884  0.0073  0.0376  0.0375  0.0376  0.03
Osinska 1989   5  0.5510  0.028  0.198  0.6657  0.0625  0.20
Pachmann 1927   82  0.2452  0.0078  0.0386  0.0373  0.0375  0.03
Paderewski 1930   85  0.1454  0.0085  0.0472  0.0478  0.0374  0.03
Perlemuter 1992   67  0.3221  0.0042  0.0645  0.1145  0.1040  0.10
Pierdomenico 2008   76  0.2742  0.0050  0.0467  0.0466  0.0461  0.04
Poblocka 1999   10  0.5122  0.007  0.196  0.6832  0.318  0.46
Rabcewiczowa 1932   61  0.3339  0.0058  0.0652  0.0673  0.0362  0.04
Rachmaninoff 1923   38  0.4020  0.0044  0.0643  0.1347  0.0642  0.09
Rangell 2001   79  0.2432  0.0082  0.0473  0.0474  0.0468  0.04
Richter 1976   58  0.3466  0.0068  0.0565  0.0587  0.0273  0.03
Rosen 1989   26  0.437  0.0223  0.0920  0.5145  0.1917  0.31
Rosenthal 1930   29  0.4245  0.0046  0.0658  0.0626  0.3936  0.15
Rosenthal 1931   39  0.3949  0.0039  0.0738  0.2220  0.4218  0.30
Rosenthal 1931b   44  0.3975  0.0045  0.0644  0.1219  0.4523  0.23
Rosenthal 1931c   33  0.4117  0.0030  0.0728  0.3921  0.3812  0.38
Rosenthal 1931d   27  0.4336  0.0032  0.0926  0.4312  0.566  0.49
Rossi 2007   75  0.2734  0.0076  0.0470  0.0477  0.0370  0.03
Rubinstein 1939   70  0.2967  0.0077  0.0385  0.0388  0.0283  0.02
Rubinstein 1952   53  0.3670  0.0064  0.0651  0.0688  0.0280  0.03
Rubinstein 1966   42  0.3980  0.0049  0.0563  0.0579  0.0365  0.04
Schilhawsky 1960   59  0.3485  0.0071  0.0383  0.0376  0.0377  0.03
Shebanova 2002   32  0.4176  0.0025  0.0827  0.4266  0.0437  0.13
Smith 1975   40  0.3933  0.0041  0.0541  0.1556  0.0543  0.09
Sokolov 2002   66  0.3286  0.0060  0.0749  0.0763  0.0352  0.05
Sztompka 1959   57  0.3468  0.0066  0.0846  0.0849  0.0549  0.06
Tomsic 1995   45  0.3981  0.0048  0.0653  0.0665  0.0555  0.05
Uninsky 1932   64  0.3247  0.0063  0.0655  0.0665  0.0457  0.05
Uninsky 1971   20  0.4627  0.0031  0.0725  0.4448  0.0729  0.18
Wasowski 1980   28  0.4224  0.0037  0.1329  0.3957  0.0634  0.15
Zak 1937   13  0.4926  0.0022  0.0921  0.5138  0.2315  0.34
Zak 1951   19  0.4674  0.0028  0.0932  0.3440  0.1028  0.18
Average   3  0.5825  0.004  0.263  0.7574  0.0431  0.17
Random 1   90  -0.0948  0.0090  0.0190  0.0161  0.0387  0.02
Random 2   89  -0.0587  0.0089  0.0189  0.0175  0.0385  0.02
Random 3   91  -0.1491  0.0091  0.0191  0.0187  0.0291  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).