Ferenczy 1958

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   7  0.3612  0.026  0.166  0.8321  0.4711  0.62
Anderszewski 2003   23  0.2723  0.0019  0.1522  0.7027  0.3419  0.49
Ashkenazy 1981   74  -0.0249  0.0076  0.0466  0.0488  0.0273  0.03
Bacha 2000   10  0.346  0.0414  0.1710  0.8025  0.3816  0.55
Badura 1965   32  0.2229  0.0027  0.1928  0.6138  0.1924  0.34
Barbosa 1983   39  0.1558  0.0040  0.1239  0.3374  0.0440  0.11
Biret 1990   44  0.1174  0.0045  0.0847  0.0859  0.0546  0.06
Blet 2003   76  -0.0362  0.0065  0.0381  0.0389  0.0182  0.02
Block 1995   36  0.1832  0.0034  0.0931  0.5678  0.0434  0.15
Blumental 1952   33  0.2024  0.0023  0.1326  0.6551  0.0626  0.20
Boshniakovich 1969   61  0.0075  0.0055  0.0659  0.0681  0.0357  0.04
Brailowsky 1960   9  0.3420  0.0016  0.159  0.8120  0.529  0.65
Bunin 1987   54  0.0676  0.0059  0.0656  0.0685  0.0358  0.04
Bunin 1987b   53  0.0742  0.0058  0.0653  0.0680  0.0355  0.04
Chiu 1999   49  0.0863  0.0072  0.0471  0.0488  0.0263  0.03
Cohen 1997   16  0.319  0.027  0.1516  0.7521  0.5112  0.62
Cortot 1951   5  0.3913  0.0211  0.187  0.8212  0.596  0.70
Csalog 1996   77  -0.0377  0.0080  0.0384  0.0389  0.0181  0.02
Czerny 1949   1  0.461  0.421  0.411  0.914  0.861  0.88
Czerny 1990   86  -0.1283  0.0084  0.0285  0.0290  0.0189  0.01
Duchoud 2007   67  0.0078  0.0078  0.0465  0.0487  0.0271  0.03
Ezaki 2006   2  0.445  0.062  0.232  0.8721  0.605  0.72
Falvay 1989   12  0.337  0.0315  0.1817  0.7524  0.3518  0.51
Farrell 1958   26  0.2457  0.0030  0.1129  0.5953  0.0627  0.19
Ferenczy 1958   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fliere 1977   83  -0.0967  0.0085  0.0377  0.0389  0.0177  0.02
Fou 1978   22  0.2827  0.0024  0.1519  0.7172  0.0332  0.15
Francois 1956   17  0.3140  0.0013  0.2320  0.7123  0.5213  0.61
Friedman 1923   87  -0.1279  0.0088  0.0286  0.0289  0.0190  0.01
Friedman 1923b   88  -0.1384  0.0089  0.0289  0.0290  0.0188  0.01
Friedman 1930   89  -0.1385  0.0087  0.0288  0.0290  0.0187  0.01
Garcia 2007   50  0.0864  0.0054  0.0749  0.0780  0.0350  0.05
Garcia 2007b   73  -0.0234  0.0063  0.0658  0.0683  0.0360  0.04
Gierzod 1998   21  0.2919  0.0025  0.1521  0.7136  0.2522  0.42
Gornostaeva 1994   18  0.3030  0.0022  0.1715  0.7528  0.4515  0.58
Groot 1988   75  -0.0386  0.0074  0.0374  0.0389  0.0284  0.02
Harasiewicz 1955   31  0.2280  0.0036  0.1533  0.5380  0.0338  0.13
Hatto 1993   56  0.0435  0.0062  0.0464  0.0487  0.0274  0.03
Hatto 1997   34  0.2037  0.0037  0.1834  0.5367  0.0433  0.15
Horowitz 1949   68  -0.0165  0.0052  0.0752  0.0781  0.0349  0.05
Indjic 1988   70  -0.0146  0.0075  0.0468  0.0486  0.0269  0.03
Kapell 1951   58  0.0247  0.0057  0.0845  0.0883  0.0254  0.04
Kissin 1993   82  -0.0841  0.0082  0.0375  0.0389  0.0180  0.02
Kushner 1989   52  0.0752  0.0049  0.0748  0.0784  0.0253  0.04
Luisada 1991   65  0.0068  0.0077  0.0562  0.0589  0.0175  0.02
Lushtak 2004   30  0.2314  0.0131  0.1332  0.5550  0.0629  0.18
Malcuzynski 1961   43  0.1143  0.0042  0.1142  0.2585  0.0245  0.07
Magaloff 1978   63  0.0059  0.0068  0.0472  0.0487  0.0264  0.03
Magin 1975   90  -0.1887  0.0086  0.0287  0.0290  0.0185  0.01
Michalowski 1933   69  -0.0153  0.0064  0.0473  0.0486  0.0268  0.03
Milkina 1970   8  0.3616  0.019  0.195  0.8315  0.548  0.67
Mohovich 1999   13  0.328  0.0212  0.1814  0.7630  0.2720  0.45
Moravec 1969   29  0.2348  0.0032  0.1330  0.5849  0.0530  0.17
Morozova 2008   38  0.1554  0.0048  0.0660  0.0684  0.0356  0.04
Neighaus 1950   37  0.1660  0.0035  0.1336  0.5279  0.0339  0.12
Niedzielski 1931   71  -0.0188  0.0073  0.0382  0.0388  0.0278  0.02
Ohlsson 1999   64  0.0089  0.0069  0.0467  0.0489  0.0267  0.03
Osinska 1989   35  0.1918  0.0138  0.1637  0.4562  0.0436  0.13
Pachmann 1927   60  0.0169  0.0071  0.0380  0.0388  0.0179  0.02
Paderewski 1930   78  -0.0339  0.0070  0.0470  0.0488  0.0265  0.03
Perlemuter 1992   62  0.0055  0.0060  0.0463  0.0485  0.0261  0.03
Pierdomenico 2008   46  0.0938  0.0051  0.0751  0.0782  0.0347  0.05
Poblocka 1999   59  0.0181  0.0056  0.0846  0.0888  0.0251  0.04
Rabcewiczowa 1932   6  0.3621  0.008  0.188  0.8213  0.714  0.76
Rachmaninoff 1923   51  0.0770  0.0050  0.0655  0.0684  0.0352  0.04
Rangell 2001   27  0.2417  0.0120  0.1223  0.7040  0.1325  0.30
Richter 1976   85  -0.1282  0.0090  0.0190  0.0190  0.0186  0.01
Rosen 1989   25  0.2515  0.0128  0.1327  0.6367  0.0431  0.16
Rosenthal 1930   24  0.2528  0.0021  0.1225  0.6827  0.4217  0.53
Rosenthal 1931   3  0.412  0.103  0.253  0.867  0.782  0.82
Rosenthal 1931b   4  0.4010  0.024  0.194  0.858  0.803  0.82
Rosenthal 1931c   14  0.3222  0.0018  0.2018  0.7326  0.4714  0.59
Rosenthal 1931d   20  0.2925  0.0017  0.1713  0.7713  0.5510  0.65
Rossi 2007   57  0.0261  0.0066  0.0379  0.0373  0.0362  0.03
Rubinstein 1939   28  0.2350  0.0033  0.1435  0.5267  0.0435  0.14
Rubinstein 1952   66  0.0051  0.0047  0.0654  0.0681  0.0359  0.04
Rubinstein 1966   11  0.344  0.0710  0.1711  0.7831  0.2521  0.44
Schilhawsky 1960   45  0.0931  0.0044  0.0844  0.1565  0.0443  0.08
Shebanova 2002   79  -0.0471  0.0081  0.0383  0.0387  0.0283  0.02
Smith 1975   15  0.313  0.085  0.1512  0.7811  0.617  0.69
Sokolov 2002   40  0.1433  0.0043  0.0743  0.1679  0.0344  0.07
Sztompka 1959   72  -0.0166  0.0061  0.0561  0.0587  0.0266  0.03
Tomsic 1995   41  0.1411  0.0229  0.1338  0.4467  0.0437  0.13
Uninsky 1932   48  0.0845  0.0053  0.0657  0.0687  0.0270  0.03
Uninsky 1971   19  0.3026  0.0026  0.2224  0.6959  0.0528  0.19
Wasowski 1980   84  -0.1090  0.0083  0.0376  0.0390  0.0176  0.02
Zak 1937   47  0.0972  0.0046  0.0750  0.0773  0.0348  0.05
Zak 1951   42  0.1356  0.0041  0.1141  0.2781  0.0342  0.09
Random 1   80  -0.0573  0.0079  0.0378  0.0375  0.0372  0.03
Random 2   55  0.0444  0.0039  0.1140  0.297  0.4923  0.38
Random 3   81  -0.0736  0.0067  0.0469  0.0427  0.2741  0.10

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).