Ferenczy 1958

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   19  0.3517  0.0022  0.1217  0.6639  0.1617  0.32
Anderszewski 2003   23  0.3435  0.0015  0.1022  0.6243  0.1418  0.29
Ashkenazy 1981   79  0.1244  0.0084  0.0382  0.0385  0.0383  0.03
Bacha 2000   33  0.2925  0.0035  0.1037  0.3453  0.0533  0.13
Badura 1965   29  0.3126  0.0029  0.1229  0.5343  0.1119  0.24
Barbosa 1983   31  0.3076  0.0031  0.1233  0.4079  0.0338  0.11
Biret 1990   41  0.2559  0.0043  0.0942  0.1975  0.0342  0.08
Blet 2003   68  0.1624  0.0056  0.0657  0.0685  0.0277  0.03
Block 1995   30  0.315  0.0511  0.0927  0.5558  0.0528  0.17
Blumental 1952   11  0.373  0.093  0.197  0.7424  0.458  0.58
Boshniakovich 1969   59  0.2074  0.0046  0.0846  0.0881  0.0446  0.06
Brailowsky 1960   3  0.437  0.034  0.222  0.7916  0.633  0.71
Bunin 1987   51  0.2284  0.0060  0.0471  0.0468  0.0462  0.04
Bunin 1987b   57  0.2168  0.0061  0.0474  0.0473  0.0373  0.03
Chiu 1999   42  0.2549  0.0044  0.0944  0.1880  0.0345  0.07
Cohen 1997   37  0.2766  0.0032  0.1330  0.5136  0.2816  0.38
Cortot 1951   28  0.3222  0.0033  0.1331  0.5027  0.3115  0.39
Csalog 1996   35  0.2870  0.0039  0.1138  0.3468  0.0437  0.12
Czerny 1949   9  0.3913  0.0114  0.118  0.7326  0.536  0.62
Czerny 1990   66  0.1785  0.0071  0.0559  0.0585  0.0364  0.04
Duchoud 2007   86  0.0471  0.0086  0.0287  0.0287  0.0288  0.02
Ezaki 2006   2  0.454  0.072  0.184  0.7727  0.457  0.59
Falvay 1989   1  0.471  0.451  0.441  0.829  0.475  0.62
Farrell 1958   47  0.2352  0.0051  0.0750  0.0782  0.0257  0.04
Ferenczy 1958   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fliere 1977   52  0.2280  0.0063  0.0658  0.0680  0.0449  0.05
Fou 1978   12  0.3730  0.0018  0.1210  0.7163  0.0426  0.17
Francois 1956   55  0.2140  0.0048  0.0653  0.0678  0.0366  0.04
Friedman 1923   84  0.0878  0.0081  0.0384  0.0377  0.0384  0.03
Friedman 1923b   83  0.0988  0.0082  0.0476  0.0478  0.0463  0.04
Friedman 1930   82  0.0981  0.0080  0.0381  0.0383  0.0379  0.03
Garcia 2007   67  0.1757  0.0069  0.0566  0.0587  0.0282  0.03
Garcia 2007b   77  0.1386  0.0074  0.0656  0.0682  0.0367  0.04
Gierzod 1998   7  0.3914  0.0116  0.1115  0.6860  0.0525  0.18
Gornostaeva 1994   6  0.3929  0.009  0.109  0.7334  0.3213  0.48
Groot 1988   62  0.1960  0.0055  0.0848  0.0873  0.0447  0.06
Harasiewicz 1955   21  0.3545  0.0025  0.1326  0.5573  0.0529  0.17
Hatto 1993   36  0.2753  0.0042  0.0941  0.2381  0.0344  0.08
Hatto 1997   18  0.3531  0.0023  0.1619  0.6561  0.0524  0.18
Horowitz 1949   70  0.1628  0.0045  0.0847  0.0842  0.1240  0.10
Indjic 1988   43  0.2542  0.0050  0.0945  0.0984  0.0353  0.05
Kapell 1951   61  0.1972  0.0064  0.0468  0.0478  0.0458  0.04
Kissin 1993   76  0.1351  0.0076  0.0377  0.0387  0.0287  0.02
Kushner 1989   54  0.2173  0.0054  0.0652  0.0677  0.0452  0.05
Luisada 1991   49  0.2323  0.0053  0.0751  0.0777  0.0448  0.05
Lushtak 2004   27  0.328  0.0230  0.1028  0.5467  0.0431  0.15
Malcuzynski 1961   44  0.2427  0.0040  0.0840  0.2479  0.0341  0.08
Magaloff 1978   60  0.1943  0.0062  0.0563  0.0567  0.0455  0.04
Magin 1975   81  0.0961  0.0083  0.0383  0.0385  0.0372  0.03
Michalowski 1933   87  0.0369  0.0088  0.0288  0.0289  0.0286  0.02
Milkina 1970   25  0.3437  0.0028  0.1125  0.5556  0.0527  0.17
Mohovich 1999   8  0.392  0.096  0.245  0.7734  0.3212  0.50
Moravec 1969   17  0.3618  0.0020  0.1316  0.6753  0.0621  0.20
Morozova 2008   56  0.2119  0.0073  0.0561  0.0580  0.0360  0.04
Neighaus 1950   50  0.2238  0.0041  0.0843  0.1978  0.0343  0.08
Niedzielski 1931   69  0.1689  0.0059  0.0562  0.0558  0.0551  0.05
Ohlsson 1999   75  0.1490  0.0077  0.0564  0.0584  0.0359  0.04
Osinska 1989   13  0.379  0.0224  0.1620  0.6346  0.0623  0.19
Pachmann 1927   78  0.1264  0.0079  0.0379  0.0387  0.0375  0.03
Paderewski 1930   85  0.0550  0.0078  0.0380  0.0386  0.0374  0.03
Perlemuter 1992   72  0.1646  0.0070  0.0565  0.0583  0.0354  0.04
Pierdomenico 2008   64  0.1863  0.0072  0.0467  0.0477  0.0371  0.03
Poblocka 1999   40  0.2667  0.0037  0.1135  0.3675  0.0434  0.12
Rabcewiczowa 1932   22  0.3439  0.0017  0.1214  0.6936  0.2614  0.42
Rachmaninoff 1923   46  0.2436  0.0047  0.0749  0.0780  0.0350  0.05
Rangell 2001   45  0.2433  0.0038  0.1039  0.2864  0.0439  0.11
Richter 1976   80  0.1077  0.0085  0.0285  0.0287  0.0285  0.02
Rosen 1989   24  0.346  0.0421  0.1223  0.6168  0.0430  0.16
Rosenthal 1930   26  0.3447  0.0026  0.1624  0.5827  0.5010  0.54
Rosenthal 1931   4  0.4015  0.015  0.223  0.786  0.781  0.78
Rosenthal 1931b   5  0.4020  0.007  0.226  0.767  0.752  0.75
Rosenthal 1931c   15  0.3610  0.0212  0.1321  0.6216  0.509  0.56
Rosenthal 1931d   16  0.3634  0.0013  0.1011  0.7110  0.694  0.70
Rossi 2007   74  0.1462  0.0075  0.0378  0.0376  0.0370  0.03
Rubinstein 1939   39  0.2641  0.0049  0.0654  0.0672  0.0356  0.04
Rubinstein 1952   65  0.1779  0.0058  0.0470  0.0466  0.0465  0.04
Rubinstein 1966   14  0.3611  0.0210  0.1013  0.7050  0.0720  0.22
Schilhawsky 1960   53  0.2248  0.0068  0.0472  0.0487  0.0278  0.03
Shebanova 2002   63  0.1883  0.0067  0.0469  0.0485  0.0381  0.03
Smith 1975   20  0.3512  0.018  0.1112  0.7027  0.3811  0.52
Sokolov 2002   48  0.2358  0.0052  0.0655  0.0683  0.0269  0.03
Sztompka 1959   71  0.1656  0.0066  0.0475  0.0484  0.0376  0.03
Tomsic 1995   38  0.2616  0.0027  0.1232  0.4265  0.0532  0.14
Uninsky 1932   58  0.2032  0.0057  0.0560  0.0587  0.0280  0.03
Uninsky 1971   10  0.3821  0.0019  0.1318  0.6648  0.0622  0.20
Wasowski 1980   73  0.1565  0.0065  0.0473  0.0484  0.0368  0.03
Zak 1937   34  0.2954  0.0036  0.1136  0.3683  0.0435  0.12
Zak 1951   32  0.3055  0.0034  0.1034  0.3872  0.0436  0.12
Random 1   89  -0.0775  0.0090  0.0190  0.0170  0.0290  0.01
Random 2   88  0.0087  0.0087  0.0286  0.0245  0.0861  0.04
Random 3   90  -0.1182  0.0089  0.0189  0.0154  0.0489  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).