Ferenczy 1958

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   13  0.6734  0.0022  0.0614  0.3856  0.0523  0.14
Anderszewski 2003   23  0.6413  0.0240  0.0437  0.1161  0.0442  0.07
Ashkenazy 1981   66  0.5061  0.0061  0.0461  0.0461  0.0469  0.04
Bacha 2000   38  0.6119  0.0111  0.1012  0.4015  0.357  0.37
Badura 1965   33  0.615  0.0435  0.0543  0.0858  0.0548  0.06
Barbosa 1983   61  0.5317  0.0126  0.0830  0.1832  0.1716  0.17
Biret 1990   57  0.5576  0.0051  0.0649  0.0672  0.0458  0.05
Blet 2003   11  0.6831  0.0028  0.0725  0.2833  0.1913  0.23
Block 1995   53  0.5810  0.0238  0.0541  0.1061  0.0450  0.06
Blumental 1952   45  0.606  0.048  0.1313  0.3920  0.2112  0.29
Boshniakovich 1969   20  0.6446  0.0052  0.0747  0.0752  0.0651  0.06
Brailowsky 1960   41  0.6130  0.0060  0.0463  0.0459  0.0460  0.04
Bunin 1987   63  0.5245  0.0059  0.0555  0.0535  0.2334  0.11
Bunin 1987b   65  0.5159  0.0058  0.0557  0.0535  0.2331  0.11
Chiu 1999   51  0.5936  0.0039  0.0439  0.1051  0.0445  0.06
Cohen 1997   76  0.4529  0.0062  0.0460  0.0421  0.3133  0.11
Cortot 1951   32  0.6270  0.0049  0.0550  0.0562  0.0472  0.04
Csalog 1996   30  0.6212  0.022  0.115  0.507  0.443  0.47
Czerny 1949   42  0.6068  0.0046  0.0468  0.0452  0.0654  0.05
Czerny 1990   22  0.6432  0.0047  0.0471  0.0477  0.0386  0.03
Duchoud 2007   82  0.3790  0.0080  0.0287  0.0285  0.0289  0.02
Ezaki 2006   19  0.6460  0.0053  0.0746  0.0761  0.0452  0.05
Falvay 1989   71  0.4862  0.0084  0.0382  0.0371  0.0476  0.03
Farrell 1958   73  0.4685  0.0075  0.0383  0.0369  0.0478  0.03
Ferenczy 1958   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fliere 1977   9  0.6951  0.0018  0.0919  0.3452  0.0526  0.13
Fou 1978   40  0.6164  0.0041  0.0444  0.0866  0.0447  0.06
Francois 1956   44  0.6035  0.0034  0.0540  0.1037  0.1529  0.12
Friedman 1923   26  0.6272  0.0030  0.0733  0.1444  0.1619  0.15
Friedman 1923b   34  0.6187  0.0031  0.0634  0.1244  0.1527  0.13
Friedman 1930   24  0.6327  0.0045  0.0445  0.0855  0.0644  0.07
Garcia 2007   48  0.6073  0.0050  0.0558  0.0561  0.0556  0.05
Garcia 2007b   17  0.6621  0.014  0.108  0.4727  0.345  0.40
Gierzod 1998   47  0.6078  0.0048  0.0551  0.0560  0.0555  0.05
Gornostaeva 1994   49  0.6040  0.0054  0.0464  0.0447  0.0657  0.05
Groot 1988   67  0.5048  0.0072  0.0559  0.0572  0.0471  0.04
Harasiewicz 1955   7  0.6915  0.0125  0.1020  0.3360  0.0528  0.13
Hatto 1993   43  0.6014  0.0114  0.0824  0.3153  0.0624  0.14
Hatto 1997   27  0.6244  0.0015  0.0821  0.3148  0.0622  0.14
Horowitz 1949   62  0.5280  0.0070  0.0467  0.0463  0.0565  0.04
Indjic 1988   28  0.6237  0.0016  0.0923  0.3148  0.0620  0.14
Kapell 1951   3  0.711  0.401  0.391  0.6310  0.361  0.48
Kissin 1993   52  0.5954  0.0057  0.0552  0.0580  0.0367  0.04
Kushner 1989   50  0.5979  0.0056  0.0462  0.0472  0.0464  0.04
Luisada 1991   16  0.6618  0.0119  0.0817  0.3659  0.0525  0.13
Lushtak 2004   36  0.6158  0.0044  0.0442  0.0966  0.0449  0.06
Malcuzynski 1961   80  0.4225  0.0174  0.0381  0.0377  0.0380  0.03
Magaloff 1978   78  0.4384  0.0079  0.0380  0.0379  0.0474  0.03
Magin 1975   60  0.5347  0.0065  0.0553  0.0578  0.0362  0.04
Michalowski 1933   39  0.6138  0.0032  0.0631  0.1541  0.1517  0.15
Milkina 1970   55  0.5791  0.0069  0.0373  0.0357  0.0479  0.03
Mohovich 1999   29  0.6255  0.0033  0.0529  0.2064  0.0536  0.10
Moravec 1969   69  0.5057  0.0073  0.0554  0.0545  0.1238  0.08
Morozova 2008   56  0.5569  0.0066  0.0466  0.0452  0.0568  0.04
Neighaus 1950   21  0.6426  0.0120  0.0815  0.3843  0.0914  0.18
Niedzielski 1931   14  0.6767  0.0017  0.0816  0.3734  0.2610  0.31
Ohlsson 1999   68  0.5081  0.0064  0.0648  0.0680  0.0366  0.04
Osinska 1989   10  0.6842  0.0023  0.0622  0.3158  0.0430  0.11
Pachmann 1927   58  0.5424  0.0183  0.0286  0.0282  0.0288  0.02
Paderewski 1930   31  0.6275  0.0042  0.0535  0.1248  0.0441  0.07
Perlemuter 1992   4  0.7033  0.009  0.1211  0.4330  0.239  0.31
Pierdomenico 2008   88  0.3056  0.0082  0.0285  0.0269  0.0477  0.03
Poblocka 1999   6  0.707  0.043  0.102  0.5522  0.374  0.45
Rabcewiczowa 1932   54  0.5841  0.0055  0.0465  0.0464  0.0463  0.04
Rachmaninoff 1923   72  0.4774  0.0077  0.0377  0.0372  0.0475  0.03
Rangell 2001   87  0.3165  0.0081  0.0288  0.0278  0.0390  0.02
Richter 1976   64  0.513  0.0536  0.0632  0.1462  0.0539  0.08
Rosen 1989   12  0.6722  0.0112  0.139  0.4632  0.2011  0.30
Rosenthal 1930   75  0.4549  0.0068  0.0374  0.0366  0.0384  0.03
Rosenthal 1931   83  0.3566  0.0086  0.0375  0.0374  0.0482  0.03
Rosenthal 1931b   84  0.3588  0.0087  0.0378  0.0348  0.0673  0.04
Rosenthal 1931c   86  0.3571  0.0078  0.0379  0.0365  0.0487  0.03
Rosenthal 1931d   85  0.3582  0.0088  0.0376  0.0349  0.0670  0.04
Rossi 2007   59  0.5443  0.0071  0.0469  0.0449  0.0753  0.05
Rubinstein 1939   70  0.484  0.0537  0.0638  0.1076  0.0446  0.06
Rubinstein 1952   81  0.4052  0.0067  0.0470  0.0451  0.0759  0.05
Rubinstein 1966   74  0.4683  0.0076  0.0384  0.0380  0.0483  0.03
Schilhawsky 1960   37  0.6189  0.0043  0.0436  0.1157  0.0543  0.07
Shebanova 2002   15  0.6739  0.0013  0.0910  0.4451  0.0518  0.15
Smith 1975   18  0.6620  0.0124  0.0818  0.3440  0.0915  0.17
Sokolov 2002   79  0.4263  0.0063  0.0556  0.0581  0.0361  0.04
Sztompka 1959   35  0.6186  0.0021  0.1028  0.2458  0.0532  0.11
Tomsic 1995   77  0.4423  0.0185  0.0372  0.0375  0.0481  0.03
Uninsky 1932   2  0.722  0.057  0.167  0.4828  0.316  0.39
Uninsky 1971   5  0.709  0.026  0.113  0.5418  0.432  0.48
Wasowski 1980   8  0.6911  0.0210  0.144  0.5029  0.198  0.31
Zak 1937   25  0.6350  0.0027  0.0726  0.2773  0.0337  0.09
Zak 1951   46  0.6028  0.0029  0.0827  0.2571  0.0435  0.10
Average   1  0.748  0.035  0.106  0.4964  0.0421  0.14
Random 1   90  -0.1716  0.0189  0.0290  0.0217  0.2940  0.08
Random 2   91  -0.2577  0.0091  0.0191  0.0185  0.0291  0.01
Random 3   89  -0.1553  0.0090  0.0289  0.0265  0.0485  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).