Biret 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   20  0.5523  0.0033  0.0731  0.2459  0.0443  0.10
Anderszewski 2003   63  0.4268  0.0048  0.0550  0.0546  0.0463  0.04
Ashkenazy 1981   29  0.5246  0.0029  0.0829  0.3650  0.0538  0.13
Bacha 2000   35  0.5141  0.0049  0.0746  0.0720  0.4537  0.18
Badura 1965   81  0.2871  0.0074  0.0472  0.0471  0.0468  0.04
Barbosa 1983   49  0.4655  0.0024  0.1025  0.3924  0.4220  0.40
Biret 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Blet 2003   37  0.5045  0.0039  0.0743  0.1554  0.0546  0.09
Block 1995   70  0.3673  0.0081  0.0382  0.0357  0.0481  0.03
Blumental 1952   77  0.3274  0.0067  0.0474  0.0459  0.0469  0.04
Boshniakovich 1969   54  0.4443  0.0072  0.0467  0.0483  0.0382  0.03
Brailowsky 1960   44  0.4761  0.0066  0.0648  0.0671  0.0452  0.05
Bunin 1987   33  0.5177  0.0041  0.0834  0.2355  0.0641  0.12
Bunin 1987b   31  0.5260  0.0040  0.0633  0.2454  0.0640  0.12
Chiu 1999   39  0.492  0.068  0.128  0.5617  0.486  0.52
Cohen 1997   60  0.4215  0.0143  0.0641  0.1511  0.4828  0.27
Cortot 1951   41  0.4849  0.0044  0.0742  0.1533  0.2536  0.19
Csalog 1996   18  0.5514  0.0123  0.1127  0.3810  0.5314  0.45
Czerny 1949   12  0.5930  0.0022  0.1112  0.5117  0.537  0.52
Czerny 1990   34  0.5150  0.0057  0.0475  0.0474  0.0471  0.04
Duchoud 2007   4  0.6618  0.014  0.263  0.692  0.652  0.67
Ezaki 2006   16  0.578  0.0310  0.1020  0.4636  0.1529  0.26
Falvay 1989   30  0.5228  0.0015  0.0728  0.3629  0.2127  0.27
Farrell 1958   5  0.6420  0.019  0.1014  0.503  0.684  0.58
Ferenczy 1958   51  0.4667  0.0045  0.0645  0.1327  0.2935  0.19
Fliere 1977   27  0.5275  0.0052  0.0461  0.0473  0.0456  0.04
Fou 1978   58  0.4278  0.0055  0.0465  0.0467  0.0458  0.04
Francois 1956   17  0.5612  0.0118  0.126  0.5719  0.3812  0.47
Friedman 1923   88  0.1679  0.0087  0.0381  0.0359  0.0573  0.04
Friedman 1923b   87  0.1747  0.0085  0.0378  0.0351  0.0670  0.04
Friedman 1930   82  0.2872  0.0071  0.0458  0.0467  0.0465  0.04
Garcia 2007   83  0.2744  0.0079  0.0288  0.0254  0.0580  0.03
Garcia 2007b   79  0.3216  0.0173  0.0470  0.0427  0.2644  0.10
Gierzod 1998   62  0.4284  0.0060  0.0455  0.0473  0.0379  0.03
Gornostaeva 1994   6  0.634  0.0521  0.1123  0.4221  0.3522  0.38
Groot 1988   45  0.4780  0.0069  0.0453  0.0479  0.0384  0.03
Harasiewicz 1955   71  0.3637  0.0037  0.0532  0.2474  0.0348  0.08
Hatto 1993   68  0.3942  0.0034  0.0640  0.1625  0.2932  0.22
Hatto 1997   22  0.555  0.045  0.165  0.6310  0.495  0.56
Horowitz 1949   56  0.4351  0.0061  0.0457  0.0460  0.0460  0.04
Indjic 1988   55  0.4352  0.0027  0.0736  0.2218  0.3626  0.28
Kapell 1951   8  0.6153  0.0019  0.0910  0.5324  0.4311  0.48
Kissin 1993   64  0.4285  0.0059  0.0460  0.0455  0.0562  0.04
Kushner 1989   24  0.5356  0.0054  0.0463  0.0453  0.0459  0.04
Luisada 1991   14  0.589  0.0313  0.1011  0.5221  0.3416  0.42
Lushtak 2004   38  0.5019  0.0111  0.1113  0.5029  0.3318  0.41
Malcuzynski 1961   28  0.5286  0.0053  0.0462  0.0479  0.0377  0.03
Magaloff 1978   25  0.5269  0.0036  0.0644  0.1380  0.0351  0.06
Magin 1975   74  0.3557  0.0063  0.0476  0.0472  0.0376  0.03
Michalowski 1933   69  0.3763  0.0042  0.0637  0.1836  0.2631  0.22
Milkina 1970   19  0.556  0.0414  0.1015  0.4712  0.4413  0.45
Mohovich 1999   52  0.4587  0.0068  0.0466  0.0480  0.0383  0.03
Moravec 1969   47  0.4781  0.0035  0.0539  0.1651  0.0545  0.09
Morozova 2008   48  0.4688  0.0038  0.0538  0.1873  0.0349  0.07
Neighaus 1950   7  0.6225  0.007  0.137  0.5628  0.3615  0.45
Niedzielski 1931   73  0.3533  0.0082  0.0379  0.0369  0.0375  0.03
Ohlsson 1999   3  0.677  0.043  0.184  0.664  0.533  0.59
Osinska 1989   2  0.691  0.481  0.471  0.784  0.771  0.77
Pachmann 1927   72  0.3639  0.0065  0.0551  0.0559  0.0554  0.05
Paderewski 1930   66  0.4038  0.0070  0.0459  0.0471  0.0378  0.03
Perlemuter 1992   80  0.3089  0.0077  0.0287  0.0283  0.0387  0.02
Pierdomenico 2008   46  0.4732  0.0047  0.0649  0.0630  0.2242  0.11
Poblocka 1999   9  0.6164  0.0020  0.1019  0.4620  0.3419  0.40
Rabcewiczowa 1932   13  0.5811  0.0212  0.1016  0.4714  0.568  0.51
Rachmaninoff 1923   59  0.4226  0.0050  0.0456  0.0449  0.0557  0.04
Rangell 2001   23  0.5431  0.0032  0.0735  0.2340  0.1834  0.20
Richter 1976   78  0.3254  0.0078  0.0380  0.0388  0.0288  0.02
Rosen 1989   15  0.5734  0.0031  0.1024  0.4128  0.3123  0.36
Rosenthal 1930   67  0.4058  0.0076  0.0477  0.0465  0.0467  0.04
Rosenthal 1931   86  0.2190  0.0088  0.0286  0.0287  0.0289  0.02
Rosenthal 1931b   85  0.2465  0.0086  0.0384  0.0365  0.0485  0.03
Rosenthal 1931c   75  0.3366  0.0084  0.0383  0.0373  0.0386  0.03
Rosenthal 1931d   76  0.3376  0.0083  0.0473  0.0459  0.0472  0.04
Rossi 2007   84  0.2540  0.0080  0.0385  0.0360  0.0374  0.03
Rubinstein 1939   65  0.4035  0.0064  0.0471  0.0421  0.3839  0.12
Rubinstein 1952   53  0.4522  0.0056  0.0464  0.0444  0.1250  0.07
Rubinstein 1966   43  0.4882  0.0058  0.0469  0.0465  0.0564  0.04
Schilhawsky 1960   50  0.4659  0.0030  0.0930  0.2632  0.2430  0.25
Shebanova 2002   40  0.4924  0.0051  0.0552  0.0550  0.0655  0.05
Smith 1975   11  0.5910  0.026  0.139  0.5414  0.4310  0.48
Sokolov 2002   10  0.6048  0.0028  0.0721  0.4537  0.2624  0.34
Sztompka 1959   61  0.4283  0.0075  0.0454  0.0476  0.0461  0.04
Tomsic 1995   36  0.5062  0.0046  0.0647  0.0671  0.0453  0.05
Uninsky 1932   57  0.4321  0.0162  0.0468  0.0449  0.0566  0.04
Uninsky 1971   21  0.5517  0.0125  0.1026  0.3835  0.2825  0.33
Wasowski 1980   26  0.5229  0.0026  0.0922  0.445  0.529  0.48
Zak 1937   32  0.5227  0.0017  0.1118  0.4619  0.3917  0.42
Zak 1951   42  0.4813  0.0116  0.1017  0.4626  0.3321  0.39
Average   1  0.713  0.062  0.232  0.7447  0.0633  0.21
Random 1   90  0.0036  0.0091  0.0191  0.0154  0.0490  0.02
Random 2   91  0.0070  0.0089  0.0289  0.0212  0.3747  0.09
Random 3   89  0.0291  0.0090  0.0190  0.0147  0.0591  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).