Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   23  0.5212  0.0137  0.0538  0.1662  0.0449  0.08
Anderszewski 2003   36  0.4952  0.0041  0.0535  0.1855  0.0447  0.08
Ashkenazy 1981   45  0.4845  0.0055  0.0564  0.0569  0.0478  0.04
Bacha 2000   38  0.4967  0.0057  0.0559  0.0539  0.2040  0.10
Badura 1965   86  0.3465  0.0087  0.0382  0.0382  0.0385  0.03
Barbosa 1983   49  0.4753  0.0044  0.0544  0.1173  0.0450  0.07
Biret 1990   2  0.637  0.022  0.282  0.693  0.641  0.66
Blet 2003   65  0.4284  0.0069  0.0566  0.0550  0.0563  0.05
Block 1995   57  0.4449  0.0039  0.0536  0.1734  0.2025  0.18
Blumental 1952   56  0.4414  0.0145  0.0545  0.1053  0.0552  0.07
Boshniakovich 1969   54  0.4639  0.0048  0.0652  0.0672  0.0466  0.05
Brailowsky 1960   44  0.4885  0.0059  0.0562  0.0566  0.0558  0.05
Bunin 1987   74  0.3983  0.0081  0.0287  0.0266  0.0486  0.03
Bunin 1987b   73  0.4026  0.0082  0.0373  0.0369  0.0482  0.03
Chiu 1999   30  0.5022  0.0029  0.0626  0.2939  0.2220  0.25
Cohen 1997   63  0.4251  0.0067  0.0470  0.0420  0.3338  0.11
Cortot 1951   20  0.5218  0.0030  0.0622  0.347  0.613  0.46
Csalog 1996   77  0.3834  0.0079  0.0383  0.0357  0.0574  0.04
Czerny 1949   19  0.525  0.029  0.087  0.5035  0.2512  0.35
Czerny 1990   12  0.5446  0.0021  0.0719  0.3958  0.0530  0.14
Duchoud 2007   35  0.4917  0.0050  0.0650  0.0636  0.2037  0.11
Ezaki 2006   15  0.5323  0.0020  0.0831  0.2570  0.0439  0.10
Falvay 1989   11  0.544  0.038  0.1113  0.4528  0.357  0.40
Farrell 1958   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ferenczy 1958   69  0.4159  0.0078  0.0378  0.0351  0.0576  0.04
Fliere 1977   16  0.5324  0.0025  0.0623  0.3280  0.0341  0.10
Fou 1978   18  0.5372  0.0013  0.0818  0.4048  0.0627  0.15
Francois 1956   31  0.5027  0.0016  0.1020  0.3829  0.389  0.38
Friedman 1923   80  0.3782  0.0072  0.0380  0.0349  0.0680  0.04
Friedman 1923b   79  0.3887  0.0071  0.0375  0.0348  0.0767  0.05
Friedman 1930   81  0.3730  0.0073  0.0472  0.0454  0.0575  0.04
Garcia 2007   68  0.4111  0.0140  0.0543  0.1314  0.4322  0.24
Garcia 2007b   64  0.4237  0.0031  0.0528  0.279  0.5010  0.37
Gierzod 1998   34  0.4990  0.0042  0.0542  0.1368  0.0451  0.07
Gornostaeva 1994   29  0.5168  0.0049  0.0748  0.0748  0.0557  0.06
Groot 1988   14  0.5342  0.0015  0.1117  0.4140  0.1719  0.26
Harasiewicz 1955   55  0.4669  0.0034  0.0630  0.2564  0.0442  0.10
Hatto 1993   60  0.4362  0.0066  0.0467  0.0458  0.0668  0.05
Hatto 1997   43  0.4848  0.0054  0.0468  0.0443  0.1055  0.06
Horowitz 1949   70  0.4176  0.0075  0.0286  0.0273  0.0389  0.02
Indjic 1988   61  0.4391  0.0070  0.0565  0.0555  0.0662  0.05
Kapell 1951   26  0.519  0.0122  0.0914  0.4361  0.0432  0.13
Kissin 1993   50  0.4774  0.0052  0.0649  0.0660  0.0560  0.05
Kushner 1989   13  0.5416  0.0117  0.099  0.4763  0.0528  0.15
Luisada 1991   42  0.4858  0.0061  0.0563  0.0567  0.0470  0.04
Lushtak 2004   4  0.576  0.024  0.165  0.5432  0.336  0.42
Malcuzynski 1961   27  0.5156  0.0051  0.0746  0.0762  0.0459  0.05
Magaloff 1978   10  0.5413  0.0110  0.0815  0.4332  0.2115  0.30
Magin 1975   75  0.3977  0.0077  0.0377  0.0377  0.0381  0.03
Michalowski 1933   88  0.2989  0.0086  0.0284  0.0259  0.0683  0.03
Milkina 1970   7  0.5629  0.0014  0.1012  0.4636  0.2413  0.33
Mohovich 1999   41  0.4840  0.0046  0.0656  0.0651  0.0756  0.06
Moravec 1969   51  0.4728  0.0060  0.0560  0.0559  0.0469  0.04
Morozova 2008   21  0.5221  0.0023  0.0721  0.3470  0.0435  0.12
Neighaus 1950   3  0.5988  0.005  0.164  0.5739  0.1914  0.33
Niedzielski 1931   53  0.4619  0.0063  0.0558  0.0546  0.0753  0.06
Ohlsson 1999   9  0.5547  0.0028  0.0632  0.2357  0.0536  0.11
Osinska 1989   6  0.562  0.083  0.363  0.6218  0.482  0.55
Pachmann 1927   72  0.4057  0.0068  0.0469  0.0436  0.2043  0.09
Paderewski 1930   58  0.4435  0.0047  0.0655  0.0620  0.3129  0.14
Perlemuter 1992   66  0.4161  0.0033  0.0640  0.1664  0.0445  0.08
Pierdomenico 2008   59  0.4486  0.0043  0.0641  0.1518  0.3921  0.24
Poblocka 1999   37  0.4936  0.0038  0.0639  0.1670  0.0446  0.08
Rabcewiczowa 1932   24  0.5143  0.006  0.1316  0.4213  0.445  0.43
Rachmaninoff 1923   25  0.513  0.047  0.128  0.5030  0.2411  0.35
Rangell 2001   48  0.4725  0.0027  0.0637  0.1631  0.2524  0.20
Richter 1976   82  0.3655  0.0088  0.0471  0.0466  0.0472  0.04
Rosen 1989   28  0.5133  0.0035  0.0634  0.2166  0.0444  0.09
Rosenthal 1930   71  0.4032  0.0076  0.0379  0.0361  0.0577  0.04
Rosenthal 1931   84  0.3573  0.0085  0.0376  0.0346  0.0673  0.04
Rosenthal 1931b   85  0.3470  0.0083  0.0381  0.0352  0.0579  0.04
Rosenthal 1931c   78  0.3850  0.0080  0.0285  0.0248  0.0588  0.03
Rosenthal 1931d   83  0.3580  0.0084  0.0288  0.0250  0.0587  0.03
Rossi 2007   87  0.3460  0.0062  0.0653  0.0614  0.4326  0.16
Rubinstein 1939   22  0.5215  0.0119  0.0824  0.3210  0.468  0.38
Rubinstein 1952   47  0.4875  0.0032  0.0733  0.2128  0.3418  0.27
Rubinstein 1966   5  0.578  0.0118  0.1111  0.4724  0.414  0.44
Schilhawsky 1960   62  0.4210  0.0164  0.0651  0.0660  0.0564  0.05
Shebanova 2002   40  0.4981  0.0056  0.0654  0.0682  0.0465  0.05
Smith 1975   17  0.5320  0.0011  0.0810  0.4742  0.1517  0.27
Sokolov 2002   46  0.4838  0.0058  0.0557  0.0569  0.0471  0.04
Sztompka 1959   8  0.5671  0.0012  0.086  0.5137  0.1516  0.28
Tomsic 1995   52  0.4641  0.0053  0.0747  0.0757  0.0654  0.06
Uninsky 1932   76  0.3966  0.0074  0.0374  0.0374  0.0484  0.03
Uninsky 1971   67  0.4154  0.0065  0.0561  0.0559  0.0561  0.05
Wasowski 1980   33  0.5031  0.0036  0.0529  0.2546  0.0731  0.13
Zak 1937   32  0.5063  0.0024  0.0625  0.3153  0.0534  0.12
Zak 1951   39  0.4944  0.0026  0.0727  0.2853  0.0633  0.13
Average   1  0.691  0.651  0.641  0.8556  0.0623  0.23
Random 1   91  -0.0778  0.0090  0.0190  0.0153  0.0490  0.02
Random 2   89  0.0164  0.0089  0.0289  0.0220  0.3448  0.08
Random 3   90  -0.0479  0.0091  0.0191  0.0178  0.0391  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).