Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   29  0.4446  0.0024  0.0822  0.4172  0.0330  0.11
Anderszewski 2003   34  0.4460  0.0031  0.0731  0.3483  0.0336  0.10
Ashkenazy 1981   39  0.4325  0.0040  0.0639  0.2065  0.0439  0.09
Bacha 2000   64  0.3684  0.0081  0.0385  0.0371  0.0469  0.03
Badura 1965   73  0.3361  0.0041  0.0545  0.1073  0.0446  0.06
Barbosa 1983   88  0.2188  0.0084  0.0381  0.0386  0.0379  0.03
Biret 1990   49  0.4082  0.0061  0.0373  0.0383  0.0388  0.03
Blet 2003   55  0.3820  0.0053  0.0452  0.0484  0.0381  0.03
Block 1995   70  0.3558  0.0059  0.0472  0.0473  0.0385  0.03
Blumental 1952   44  0.429  0.0019  0.1123  0.4073  0.0424  0.13
Boshniakovich 1969   45  0.4172  0.0057  0.0549  0.0579  0.0463  0.04
Brailowsky 1960   33  0.4431  0.0037  0.0736  0.2558  0.0528  0.11
Bunin 1987   51  0.3969  0.0050  0.0461  0.0468  0.0464  0.04
Bunin 1987b   52  0.3840  0.0051  0.0646  0.0667  0.0450  0.05
Chiu 1999   86  0.2651  0.0052  0.0469  0.0474  0.0372  0.03
Cohen 1997   76  0.3285  0.0048  0.0458  0.0436  0.2338  0.10
Cortot 1951   36  0.4377  0.0049  0.0464  0.0453  0.0567  0.04
Csalog 1996   57  0.3847  0.0078  0.0380  0.0385  0.0380  0.03
Czerny 1949   25  0.4670  0.0025  0.0919  0.4752  0.0617  0.17
Czerny 1990   17  0.4957  0.0016  0.1316  0.5572  0.0420  0.15
Duchoud 2007   69  0.3545  0.0060  0.0376  0.0382  0.0383  0.03
Ezaki 2006   14  0.5130  0.0012  0.199  0.6458  0.0513  0.18
Falvay 1989   20  0.4729  0.0017  0.1417  0.5058  0.0616  0.17
Farrell 1958   54  0.3873  0.0062  0.0548  0.0585  0.0273  0.03
Ferenczy 1958   50  0.3941  0.0065  0.0471  0.0464  0.0461  0.04
Fliere 1977   11  0.5342  0.0014  0.1412  0.6274  0.0419  0.16
Fou 1978   40  0.4227  0.0033  0.0829  0.3677  0.0425  0.12
Francois 1956   31  0.4462  0.0032  0.0928  0.3766  0.0333  0.11
Friedman 1923   83  0.2752  0.0064  0.0454  0.0466  0.0568  0.04
Friedman 1923b   82  0.2728  0.0063  0.0460  0.0453  0.0565  0.04
Friedman 1930   68  0.3536  0.0047  0.0550  0.0549  0.0652  0.05
Garcia 2007   84  0.2754  0.0086  0.0387  0.0388  0.0384  0.03
Garcia 2007b   87  0.2289  0.0087  0.0386  0.0368  0.0489  0.03
Gierzod 1998   9  0.5443  0.0015  0.1615  0.5757  0.0518  0.17
Gornostaeva 1994   7  0.5563  0.0010  0.227  0.6933  0.297  0.45
Groot 1988   38  0.4353  0.0022  0.0824  0.3983  0.0332  0.11
Harasiewicz 1955   65  0.3633  0.0028  0.0935  0.2987  0.0244  0.08
Hatto 1993   78  0.3137  0.0072  0.0465  0.0469  0.0566  0.04
Hatto 1997   72  0.338  0.0066  0.0459  0.0469  0.0460  0.04
Horowitz 1949   56  0.3855  0.0069  0.0467  0.0470  0.0376  0.03
Indjic 1988   79  0.3178  0.0077  0.0384  0.0370  0.0558  0.04
Kapell 1951   22  0.4791  0.0043  0.0543  0.1680  0.0442  0.08
Kissin 1993   26  0.455  0.0034  0.1133  0.3369  0.0523  0.13
Kushner 1989   15  0.5116  0.0020  0.1027  0.3769  0.0521  0.14
Luisada 1991   67  0.3564  0.0067  0.0457  0.0487  0.0270  0.03
Lushtak 2004   62  0.3665  0.0036  0.0637  0.2388  0.0245  0.07
Malcuzynski 1961   8  0.5514  0.0011  0.1711  0.6249  0.0612  0.19
Magaloff 1978   6  0.6012  0.006  0.356  0.7311  0.465  0.58
Magin 1975   23  0.4648  0.0035  0.1132  0.3376  0.0334  0.10
Michalowski 1933   75  0.3267  0.0073  0.0383  0.0364  0.0557  0.04
Milkina 1970   16  0.4979  0.0029  0.1030  0.3678  0.0426  0.12
Mohovich 1999   24  0.4617  0.0021  0.0820  0.4574  0.0327  0.12
Moravec 1969   10  0.536  0.008  0.1714  0.6012  0.486  0.54
Morozova 2008   48  0.407  0.0039  0.0838  0.2376  0.0437  0.10
Neighaus 1950   37  0.4349  0.0045  0.0644  0.1269  0.0543  0.08
Niedzielski 1931   35  0.4319  0.0030  0.0826  0.3739  0.1310  0.22
Ohlsson 1999   43  0.4280  0.0055  0.0455  0.0460  0.0556  0.04
Osinska 1989   27  0.4583  0.0042  0.0542  0.1773  0.0441  0.08
Pachmann 1927   77  0.3168  0.0083  0.0378  0.0373  0.0478  0.03
Paderewski 1930   42  0.4256  0.0046  0.0547  0.0551  0.0551  0.05
Perlemuter 1992   66  0.3544  0.0038  0.0740  0.1975  0.0340  0.08
Pierdomenico 2008   80  0.3074  0.0085  0.0288  0.0284  0.0390  0.02
Poblocka 1999   28  0.4575  0.0056  0.0456  0.0487  0.0371  0.03
Rabcewiczowa 1932   21  0.4759  0.0013  0.1818  0.4848  0.0714  0.18
Rachmaninoff 1923   18  0.4822  0.007  0.1310  0.6335  0.169  0.32
Rangell 2001   47  0.4086  0.0054  0.0453  0.0488  0.0287  0.03
Richter 1976   71  0.3334  0.0080  0.0470  0.0480  0.0377  0.03
Rosen 1989   19  0.4813  0.0027  0.0825  0.3775  0.0331  0.11
Rosenthal 1930   4  0.784  0.084  0.854  0.931  0.944  0.93
Rosenthal 1931   2  0.813  0.112  0.632  0.963  0.972  0.96
Rosenthal 1931b   1  0.831  0.631  0.621  0.973  0.981  0.97
Rosenthal 1931c   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931d   3  0.812  0.143  0.763  0.963  0.973  0.96
Rossi 2007   85  0.2676  0.0074  0.0382  0.0349  0.0654  0.04
Rubinstein 1939   63  0.3610  0.0068  0.0468  0.0447  0.0649  0.05
Rubinstein 1952   41  0.4281  0.0023  0.0921  0.4261  0.0522  0.14
Rubinstein 1966   46  0.4023  0.0058  0.0463  0.0463  0.0559  0.04
Schilhawsky 1960   32  0.4411  0.0026  0.0834  0.3266  0.0429  0.11
Shebanova 2002   53  0.3850  0.0075  0.0379  0.0370  0.0562  0.04
Smith 1975   12  0.5224  0.009  0.218  0.6740  0.168  0.33
Sokolov 2002   13  0.5126  0.0018  0.1413  0.6052  0.0611  0.19
Sztompka 1959   30  0.4432  0.0044  0.0641  0.1851  0.0635  0.10
Tomsic 1995   61  0.3738  0.0071  0.0466  0.0470  0.0455  0.04
Uninsky 1932   74  0.3266  0.0082  0.0377  0.0383  0.0382  0.03
Uninsky 1971   58  0.3821  0.0079  0.0374  0.0388  0.0291  0.02
Wasowski 1980   81  0.2935  0.0088  0.0462  0.0449  0.0648  0.05
Zak 1937   60  0.3739  0.0076  0.0375  0.0384  0.0374  0.03
Zak 1951   59  0.3715  0.0070  0.0451  0.0483  0.0375  0.03
Average   5  0.6318  0.005  0.405  0.8270  0.0415  0.18
Random 1   91  -0.0590  0.0089  0.0190  0.0117  0.3547  0.06
Random 2   89  -0.0187  0.0090  0.0289  0.0242  0.1353  0.05
Random 3   90  -0.0471  0.0091  0.0191  0.0140  0.0986  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).