Czerny 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   22  0.6669  0.0032  0.0927  0.3926  0.4231  0.40
Anderszewski 2003   9  0.719  0.0111  0.1811  0.625  0.6411  0.63
Ashkenazy 1981   62  0.5350  0.0070  0.0476  0.0466  0.0486  0.04
Bacha 2000   64  0.5227  0.0058  0.0561  0.0511  0.4261  0.14
Badura 1965   61  0.5465  0.0065  0.0477  0.0443  0.1972  0.09
Barbosa 1983   55  0.5814  0.0025  0.0736  0.236  0.6033  0.37
Biret 1990   33  0.6359  0.0026  0.0724  0.4313  0.4621  0.44
Blet 2003   65  0.5266  0.0076  0.0479  0.0439  0.1573  0.08
Block 1995   66  0.5238  0.0064  0.0470  0.0438  0.1774  0.08
Blumental 1952   14  0.698  0.026  0.224  0.732  0.713  0.72
Boshniakovich 1969   34  0.6363  0.0029  0.0735  0.2737  0.2740  0.27
Brailowsky 1960   57  0.5757  0.0061  0.0558  0.0517  0.5356  0.16
Bunin 1987   86  0.3870  0.0086  0.0386  0.0369  0.0489  0.03
Bunin 1987b   88  0.3751  0.0087  0.0387  0.0359  0.0487  0.03
Chiu 1999   53  0.5939  0.0059  0.0560  0.0516  0.3563  0.13
Cohen 1997   84  0.4181  0.0084  0.0382  0.0335  0.1975  0.08
Cortot 1951   72  0.4964  0.0079  0.0385  0.0329  0.3968  0.11
Csalog 1996   73  0.4978  0.0062  0.0467  0.0419  0.3966  0.12
Czerny 1949   2  0.792  0.172  0.462  0.881  0.881  0.88
Czerny 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Duchoud 2007   87  0.3788  0.0085  0.0388  0.0382  0.0388  0.03
Ezaki 2006   7  0.7212  0.019  0.1710  0.644  0.728  0.68
Falvay 1989   23  0.6610  0.0136  0.1234  0.316  0.6022  0.43
Farrell 1958   26  0.6523  0.0016  0.1014  0.535  0.6414  0.58
Ferenczy 1958   59  0.5544  0.0067  0.0383  0.0332  0.3470  0.10
Fliere 1977   13  0.6952  0.0020  0.0815  0.5032  0.2334  0.34
Fou 1978   31  0.6321  0.0031  0.0832  0.3420  0.4432  0.39
Francois 1956   48  0.6053  0.0048  0.0652  0.067  0.6047  0.19
Friedman 1923   42  0.6147  0.0054  0.0751  0.0713  0.5248  0.19
Friedman 1923b   43  0.6167  0.0050  0.0657  0.0615  0.5351  0.18
Friedman 1930   32  0.6360  0.0051  0.0654  0.0610  0.5449  0.18
Garcia 2007   74  0.4989  0.0078  0.0478  0.0453  0.0584  0.04
Garcia 2007b   67  0.5190  0.0063  0.0559  0.0552  0.0580  0.05
Gierzod 1998   3  0.754  0.043  0.293  0.7610  0.637  0.69
Gornostaeva 1994   44  0.6142  0.0049  0.0656  0.0614  0.5252  0.18
Groot 1988   70  0.5115  0.0040  0.0645  0.1328  0.2553  0.18
Harasiewicz 1955   5  0.733  0.045  0.255  0.735  0.714  0.72
Hatto 1993   19  0.6672  0.0022  0.0819  0.4719  0.3827  0.42
Hatto 1997   17  0.6773  0.0028  0.0822  0.4423  0.3630  0.40
Horowitz 1949   85  0.4174  0.0088  0.0472  0.0468  0.0582  0.04
Indjic 1988   16  0.6748  0.0023  0.0721  0.4619  0.3926  0.42
Kapell 1951   21  0.6617  0.0013  0.1012  0.608  0.4915  0.54
Kissin 1993   6  0.7241  0.007  0.149  0.677  0.679  0.67
Kushner 1989   10  0.7154  0.0014  0.1213  0.5913  0.5913  0.59
Luisada 1991   52  0.5982  0.0056  0.0749  0.0759  0.0577  0.06
Lushtak 2004   30  0.636  0.0242  0.0642  0.1625  0.3842  0.25
Malcuzynski 1961   46  0.6033  0.0037  0.0838  0.218  0.5635  0.34
Magaloff 1978   38  0.6122  0.0039  0.0639  0.194  0.5337  0.32
Magin 1975   35  0.6329  0.0030  0.0723  0.4419  0.4620  0.45
Michalowski 1933   82  0.4583  0.0080  0.0381  0.0351  0.0779  0.05
Milkina 1970   8  0.7111  0.018  0.177  0.727  0.676  0.69
Mohovich 1999   56  0.5871  0.0052  0.0653  0.0638  0.3064  0.13
Moravec 1969   24  0.6536  0.0015  0.1217  0.483  0.7412  0.60
Morozova 2008   37  0.6134  0.0043  0.0641  0.1722  0.4141  0.26
Neighaus 1950   47  0.6040  0.0055  0.0655  0.0633  0.2467  0.12
Niedzielski 1931   45  0.6155  0.0047  0.0846  0.0813  0.4646  0.19
Ohlsson 1999   50  0.6016  0.0053  0.0750  0.0740  0.1469  0.10
Osinska 1989   4  0.745  0.024  0.236  0.737  0.655  0.69
Pachmann 1927   77  0.4945  0.0083  0.0475  0.0412  0.4762  0.14
Paderewski 1930   75  0.4975  0.0074  0.0565  0.0516  0.4957  0.16
Perlemuter 1992   60  0.5491  0.0077  0.0473  0.0455  0.0581  0.04
Pierdomenico 2008   83  0.4576  0.0068  0.0384  0.0335  0.2871  0.09
Poblocka 1999   28  0.6443  0.0035  0.1225  0.4124  0.4425  0.42
Rabcewiczowa 1932   49  0.6030  0.0012  0.1030  0.3710  0.4923  0.43
Rachmaninoff 1923   39  0.6135  0.0027  0.0731  0.3612  0.4428  0.40
Rangell 2001   78  0.4925  0.0060  0.0564  0.0510  0.5358  0.16
Richter 1976   81  0.4761  0.0081  0.0380  0.0348  0.0683  0.04
Rosen 1989   36  0.6231  0.0044  0.0743  0.1527  0.3244  0.22
Rosenthal 1930   68  0.5168  0.0071  0.0468  0.0414  0.5360  0.15
Rosenthal 1931   71  0.5084  0.0072  0.0469  0.0412  0.5559  0.15
Rosenthal 1931b   76  0.4977  0.0073  0.0562  0.0513  0.5555  0.17
Rosenthal 1931c   63  0.5362  0.0057  0.0748  0.0710  0.5945  0.20
Rosenthal 1931d   80  0.4879  0.0075  0.0563  0.0514  0.5654  0.17
Rossi 2007   58  0.5658  0.0066  0.0474  0.0419  0.3965  0.12
Rubinstein 1939   40  0.6146  0.0041  0.0640  0.1911  0.4239  0.28
Rubinstein 1952   51  0.6019  0.0018  0.0828  0.3918  0.4724  0.43
Rubinstein 1966   11  0.707  0.0217  0.1018  0.4710  0.6116  0.54
Schilhawsky 1960   29  0.6428  0.0045  0.0744  0.1326  0.4343  0.24
Shebanova 2002   20  0.6620  0.0034  0.1129  0.3829  0.3036  0.34
Smith 1975   25  0.6518  0.0033  0.0726  0.415  0.5618  0.48
Sokolov 2002   69  0.5185  0.0069  0.0466  0.0447  0.0678  0.05
Sztompka 1959   12  0.7024  0.0010  0.148  0.698  0.6310  0.66
Tomsic 1995   79  0.4856  0.0082  0.0471  0.0443  0.1376  0.07
Uninsky 1932   54  0.5837  0.0046  0.0747  0.0719  0.4750  0.18
Uninsky 1971   41  0.6113  0.0124  0.0633  0.3324  0.4829  0.40
Wasowski 1980   27  0.6449  0.0038  0.0837  0.2222  0.4338  0.31
Zak 1937   15  0.6826  0.0019  0.0816  0.4912  0.5317  0.51
Zak 1951   18  0.6732  0.0021  0.0920  0.4716  0.4719  0.47
Average   1  0.831  0.571  0.561  0.8911  0.582  0.72
Random 1   91  -0.1086  0.0089  0.0189  0.0129  0.1885  0.04
Random 2   89  -0.0680  0.0091  0.0191  0.0165  0.0490  0.02
Random 3   90  -0.1087  0.0090  0.0190  0.0157  0.0491  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).