Czerny 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   21  0.6668  0.0031  0.0926  0.3925  0.4230  0.40
Anderszewski 2003   8  0.719  0.0210  0.1810  0.624  0.6410  0.63
Ashkenazy 1981   61  0.5345  0.0069  0.0475  0.0465  0.0485  0.04
Bacha 2000   63  0.5229  0.0057  0.0560  0.0510  0.4260  0.14
Badura 1965   60  0.5464  0.0064  0.0476  0.0442  0.1971  0.09
Barbosa 1983   54  0.5819  0.0024  0.0735  0.235  0.6032  0.37
Biret 1990   32  0.6358  0.0025  0.0823  0.4312  0.4620  0.44
Blet 2003   64  0.5265  0.0075  0.0478  0.0438  0.1572  0.08
Block 1995   65  0.5237  0.0063  0.0469  0.0437  0.1773  0.08
Blumental 1952   13  0.693  0.085  0.233  0.731  0.712  0.72
Boshniakovich 1969   33  0.6361  0.0028  0.0734  0.2736  0.2739  0.27
Brailowsky 1960   56  0.5759  0.0060  0.0557  0.0516  0.5355  0.16
Bunin 1987   85  0.3869  0.0085  0.0385  0.0368  0.0488  0.03
Bunin 1987b   87  0.3749  0.0086  0.0386  0.0358  0.0486  0.03
Chiu 1999   52  0.5939  0.0058  0.0559  0.0515  0.3562  0.13
Cohen 1997   83  0.4181  0.0083  0.0381  0.0334  0.1974  0.08
Cortot 1951   71  0.4963  0.0078  0.0384  0.0328  0.3967  0.11
Csalog 1996   72  0.4978  0.0061  0.0466  0.0418  0.3965  0.12
Czerny 1949   1  0.791  0.471  0.471  0.881  0.881  0.88
Czerny 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Duchoud 2007   86  0.3787  0.0084  0.0387  0.0381  0.0387  0.03
Ezaki 2006   6  0.7214  0.018  0.179  0.643  0.727  0.68
Falvay 1989   22  0.6611  0.0135  0.1233  0.315  0.6021  0.43
Farrell 1958   25  0.6512  0.0115  0.1113  0.534  0.6413  0.58
Ferenczy 1958   58  0.5543  0.0066  0.0382  0.0331  0.3469  0.10
Fliere 1977   12  0.6953  0.0019  0.0814  0.5031  0.2333  0.34
Fou 1978   30  0.6325  0.0030  0.0831  0.3419  0.4431  0.39
Francois 1956   47  0.6047  0.0047  0.0651  0.066  0.6047  0.19
Friedman 1923   41  0.6150  0.0053  0.0750  0.0712  0.5248  0.19
Friedman 1923b   42  0.6166  0.0049  0.0656  0.0614  0.5350  0.18
Friedman 1930   31  0.6351  0.0050  0.0653  0.069  0.5449  0.18
Garcia 2007   73  0.4988  0.0077  0.0477  0.0452  0.0583  0.04
Garcia 2007b   66  0.5189  0.0062  0.0558  0.0551  0.0579  0.05
Gierzod 1998   2  0.752  0.142  0.302  0.769  0.636  0.69
Gornostaeva 1994   43  0.6141  0.0048  0.0655  0.0613  0.5251  0.18
Groot 1988   69  0.5110  0.0239  0.0644  0.1327  0.2552  0.18
Harasiewicz 1955   4  0.734  0.074  0.254  0.734  0.713  0.72
Hatto 1993   18  0.6672  0.0021  0.0918  0.4718  0.3826  0.42
Hatto 1997   16  0.6773  0.0027  0.0821  0.4422  0.3629  0.40
Horowitz 1949   84  0.4170  0.0087  0.0471  0.0467  0.0581  0.04
Indjic 1988   15  0.6748  0.0022  0.0820  0.4618  0.3925  0.42
Kapell 1951   20  0.6617  0.0012  0.1011  0.607  0.4914  0.54
Kissin 1993   5  0.7218  0.006  0.148  0.676  0.678  0.67
Kushner 1989   9  0.7154  0.0013  0.1212  0.5912  0.5912  0.59
Luisada 1991   51  0.5982  0.0055  0.0748  0.0758  0.0576  0.06
Lushtak 2004   29  0.637  0.0241  0.0641  0.1624  0.3841  0.25
Malcuzynski 1961   45  0.6032  0.0036  0.0837  0.217  0.5634  0.34
Magaloff 1978   37  0.6126  0.0038  0.0638  0.193  0.5336  0.32
Magin 1975   34  0.6330  0.0029  0.0722  0.4418  0.4619  0.45
Michalowski 1933   81  0.4583  0.0079  0.0380  0.0350  0.0778  0.05
Milkina 1970   7  0.715  0.037  0.176  0.726  0.675  0.69
Mohovich 1999   55  0.5871  0.0051  0.0652  0.0637  0.3063  0.13
Moravec 1969   23  0.6536  0.0014  0.1216  0.482  0.7411  0.60
Morozova 2008   36  0.6135  0.0042  0.0640  0.1721  0.4140  0.26
Neighaus 1950   46  0.6040  0.0054  0.0654  0.0632  0.2466  0.12
Niedzielski 1931   44  0.6155  0.0046  0.0845  0.0812  0.4645  0.19
Ohlsson 1999   49  0.6020  0.0052  0.0749  0.0739  0.1468  0.10
Osinska 1989   3  0.746  0.033  0.235  0.736  0.654  0.69
Pachmann 1927   76  0.4944  0.0082  0.0474  0.0411  0.4761  0.14
Paderewski 1930   74  0.4974  0.0073  0.0564  0.0515  0.4956  0.16
Perlemuter 1992   59  0.5490  0.0076  0.0472  0.0454  0.0580  0.04
Pierdomenico 2008   82  0.4575  0.0067  0.0383  0.0334  0.2870  0.09
Poblocka 1999   27  0.6442  0.0034  0.1224  0.4123  0.4424  0.42
Rabcewiczowa 1932   48  0.6016  0.0111  0.1029  0.379  0.4922  0.43
Rachmaninoff 1923   38  0.6131  0.0026  0.0730  0.3611  0.4427  0.40
Rangell 2001   77  0.4927  0.0059  0.0563  0.059  0.5357  0.16
Richter 1976   80  0.4762  0.0080  0.0379  0.0347  0.0682  0.04
Rosen 1989   35  0.6234  0.0043  0.0742  0.1526  0.3243  0.22
Rosenthal 1930   67  0.5167  0.0070  0.0467  0.0413  0.5359  0.15
Rosenthal 1931   70  0.5084  0.0071  0.0468  0.0411  0.5558  0.15
Rosenthal 1931b   75  0.4976  0.0072  0.0561  0.0512  0.5554  0.17
Rosenthal 1931c   62  0.5356  0.0056  0.0747  0.079  0.5944  0.20
Rosenthal 1931d   79  0.4879  0.0074  0.0562  0.0513  0.5653  0.17
Rossi 2007   57  0.5660  0.0065  0.0473  0.0418  0.3964  0.12
Rubinstein 1939   39  0.6146  0.0040  0.0639  0.1910  0.4238  0.28
Rubinstein 1952   50  0.6013  0.0117  0.0827  0.3917  0.4723  0.43
Rubinstein 1966   10  0.708  0.0216  0.1017  0.479  0.6115  0.54
Schilhawsky 1960   28  0.6428  0.0044  0.0743  0.1325  0.4342  0.24
Shebanova 2002   19  0.6621  0.0033  0.1128  0.3828  0.3035  0.34
Smith 1975   24  0.6522  0.0032  0.0825  0.414  0.5617  0.48
Sokolov 2002   68  0.5177  0.0068  0.0465  0.0446  0.0677  0.05
Sztompka 1959   11  0.7024  0.009  0.147  0.697  0.639  0.66
Tomsic 1995   78  0.4857  0.0081  0.0470  0.0442  0.1375  0.07
Uninsky 1932   53  0.5838  0.0045  0.0846  0.0818  0.4746  0.19
Uninsky 1971   40  0.6115  0.0123  0.0732  0.3323  0.4828  0.40
Wasowski 1980   26  0.6452  0.0037  0.0836  0.2221  0.4337  0.31
Zak 1937   14  0.6823  0.0018  0.0815  0.4911  0.5316  0.51
Zak 1951   17  0.6733  0.0020  0.0919  0.4715  0.4718  0.47
Random 1   90  -0.1085  0.0088  0.0188  0.0129  0.1884  0.04
Random 2   88  -0.0680  0.0090  0.0190  0.0165  0.0389  0.02
Random 3   89  -0.1086  0.0089  0.0189  0.0156  0.0490  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).