Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   28  0.5365  0.0032  0.0827  0.2939  0.2529  0.27
Anderszewski 2003   6  0.624  0.066  0.1815  0.4511  0.5112  0.48
Ashkenazy 1981   2  0.661  0.231  0.221  0.713  0.651  0.68
Bacha 2000   79  0.3889  0.0070  0.0469  0.0451  0.0671  0.05
Badura 1965   59  0.4550  0.0063  0.0552  0.0544  0.1359  0.08
Barbosa 1983   85  0.3467  0.0072  0.0380  0.0351  0.0681  0.04
Biret 1990   67  0.4385  0.0060  0.0463  0.0468  0.0584  0.04
Blet 2003   48  0.4926  0.0067  0.0466  0.0446  0.0674  0.05
Block 1995   44  0.4976  0.0041  0.0541  0.1126  0.2638  0.17
Blumental 1952   45  0.496  0.0528  0.0834  0.1830  0.2036  0.19
Boshniakovich 1969   7  0.6025  0.0017  0.0929  0.2630  0.2830  0.27
Brailowsky 1960   55  0.4677  0.0066  0.0473  0.0441  0.1758  0.08
Bunin 1987   70  0.4379  0.0061  0.0458  0.0443  0.1165  0.07
Bunin 1987b   71  0.4323  0.0062  0.0553  0.0542  0.1161  0.07
Chiu 1999   64  0.4462  0.0040  0.0639  0.1428  0.3433  0.22
Cohen 1997   87  0.2364  0.0086  0.0379  0.0383  0.0388  0.03
Cortot 1951   83  0.3586  0.0085  0.0378  0.0370  0.0489  0.03
Csalog 1996   84  0.3443  0.0052  0.0455  0.0444  0.1162  0.07
Czerny 1949   54  0.4687  0.0036  0.0538  0.1543  0.1344  0.14
Czerny 1990   15  0.5814  0.0214  0.0913  0.4820  0.3817  0.43
Duchoud 2007   32  0.5255  0.0034  0.0732  0.2510  0.4822  0.35
Ezaki 2006   21  0.5753  0.0026  0.0930  0.2640  0.1932  0.22
Falvay 1989   49  0.4744  0.0064  0.0470  0.0451  0.0673  0.05
Farrell 1958   76  0.3973  0.0082  0.0376  0.0376  0.0385  0.03
Ferenczy 1958   86  0.3080  0.0087  0.0374  0.0375  0.0386  0.03
Fliere 1977   4  0.6516  0.027  0.143  0.6518  0.485  0.56
Fou 1978   25  0.5421  0.0127  0.1322  0.3631  0.2627  0.31
Francois 1956   73  0.4257  0.0049  0.0647  0.0639  0.1853  0.10
Friedman 1923   78  0.3833  0.0078  0.0456  0.0423  0.3250  0.11
Friedman 1923b   77  0.3951  0.0077  0.0384  0.0326  0.2955  0.09
Friedman 1930   66  0.4356  0.0057  0.0460  0.0441  0.1363  0.07
Garcia 2007   75  0.3981  0.0075  0.0386  0.0337  0.1664  0.07
Garcia 2007b   61  0.4428  0.0050  0.0550  0.0514  0.4046  0.14
Gierzod 1998   16  0.588  0.0313  0.1011  0.5024  0.4313  0.46
Gornostaeva 1994   10  0.6032  0.0020  0.0812  0.4918  0.529  0.50
Groot 1988   41  0.5034  0.0031  0.0731  0.2542  0.1139  0.17
Harasiewicz 1955   13  0.5911  0.025  0.147  0.5722  0.4310  0.50
Hatto 1993   22  0.5610  0.039  0.129  0.529  0.528  0.52
Hatto 1997   27  0.5361  0.0016  0.1121  0.3618  0.3323  0.34
Horowitz 1949   40  0.5030  0.0048  0.0845  0.0821  0.4934  0.20
Indjic 1988   23  0.5612  0.0210  0.138  0.529  0.537  0.52
Kapell 1951   47  0.4975  0.0054  0.0465  0.0454  0.0578  0.04
Kissin 1993   1  0.662  0.152  0.182  0.688  0.632  0.65
Kushner 1989   5  0.643  0.073  0.194  0.6310  0.534  0.58
Luisada 1991   3  0.665  0.064  0.155  0.595  0.613  0.60
Lushtak 2004   57  0.4559  0.0059  0.0464  0.0457  0.0583  0.04
Malcuzynski 1961   12  0.5935  0.0023  0.1119  0.4215  0.3619  0.39
Magaloff 1978   24  0.5545  0.0035  0.0828  0.2829  0.2331  0.25
Magin 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Michalowski 1933   34  0.5113  0.0233  0.0733  0.217  0.5124  0.33
Milkina 1970   19  0.5748  0.0025  0.0917  0.4330  0.3321  0.38
Mohovich 1999   36  0.5163  0.0047  0.0648  0.0653  0.0770  0.06
Moravec 1969   72  0.4242  0.0053  0.0461  0.0439  0.1657  0.08
Morozova 2008   8  0.6020  0.0111  0.1724  0.3320  0.3125  0.32
Neighaus 1950   33  0.5269  0.0039  0.0535  0.1653  0.0556  0.09
Niedzielski 1931   51  0.4738  0.0046  0.0649  0.0617  0.4737  0.17
Ohlsson 1999   9  0.607  0.058  0.166  0.5911  0.506  0.54
Osinska 1989   46  0.4960  0.0055  0.0459  0.0479  0.0476  0.04
Pachmann 1927   82  0.3668  0.0080  0.0383  0.0342  0.1369  0.06
Paderewski 1930   69  0.4339  0.0083  0.0457  0.0463  0.0479  0.04
Perlemuter 1992   42  0.5022  0.0142  0.0542  0.1033  0.2241  0.15
Pierdomenico 2008   50  0.4771  0.0051  0.0746  0.0724  0.3042  0.14
Poblocka 1999   26  0.5346  0.0045  0.0551  0.0551  0.0672  0.05
Rabcewiczowa 1932   74  0.4188  0.0068  0.0377  0.0359  0.0577  0.04
Rachmaninoff 1923   35  0.5166  0.0024  0.1120  0.3919  0.4018  0.39
Rangell 2001   56  0.4678  0.0058  0.0468  0.0440  0.1366  0.07
Richter 1976   18  0.579  0.0318  0.0823  0.359  0.5315  0.43
Rosen 1989   17  0.5837  0.0021  0.1014  0.4621  0.4016  0.43
Rosenthal 1930   65  0.4447  0.0081  0.0381  0.0361  0.0582  0.04
Rosenthal 1931   60  0.4583  0.0073  0.0385  0.0320  0.4948  0.12
Rosenthal 1931b   63  0.4429  0.0074  0.0382  0.0316  0.5149  0.12
Rosenthal 1931c   52  0.4658  0.0071  0.0375  0.0331  0.3352  0.10
Rosenthal 1931d   68  0.4340  0.0079  0.0472  0.0417  0.4645  0.14
Rossi 2007   81  0.3782  0.0076  0.0287  0.0231  0.2167  0.06
Rubinstein 1939   80  0.3741  0.0084  0.0554  0.0544  0.0960  0.07
Rubinstein 1952   58  0.4515  0.0230  0.0736  0.1639  0.1740  0.16
Rubinstein 1966   62  0.4470  0.0069  0.0467  0.0457  0.0775  0.05
Schilhawsky 1960   43  0.5072  0.0037  0.0737  0.1538  0.2435  0.19
Shebanova 2002   20  0.5719  0.0122  0.1010  0.5119  0.4811  0.49
Smith 1975   11  0.6036  0.0012  0.1025  0.3223  0.3026  0.31
Sokolov 2002   14  0.5817  0.0115  0.0918  0.4215  0.4414  0.43
Sztompka 1959   39  0.5031  0.0056  0.0462  0.0478  0.0480  0.04
Tomsic 1995   53  0.4649  0.0065  0.0471  0.0445  0.0868  0.06
Uninsky 1932   38  0.5152  0.0044  0.0543  0.0937  0.2243  0.14
Uninsky 1971   31  0.5254  0.0038  0.0640  0.1143  0.1051  0.10
Wasowski 1980   30  0.5227  0.0043  0.0444  0.0933  0.1947  0.13
Zak 1937   37  0.5124  0.0029  0.0726  0.3032  0.2828  0.29
Zak 1951   29  0.5318  0.0119  0.0916  0.4428  0.3420  0.39
Random 1   89  -0.0574  0.0090  0.0190  0.0142  0.1087  0.03
Random 2   90  -0.0590  0.0089  0.0189  0.0154  0.0490  0.02
Random 3   88  0.0284  0.0088  0.0288  0.027  0.4554  0.09

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).