Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   42  0.4533  0.0051  0.0649  0.0661  0.0459  0.05
Anderszewski 2003   43  0.4465  0.0031  0.0634  0.2249  0.0540  0.10
Ashkenazy 1981   41  0.4552  0.0049  0.0648  0.0657  0.0461  0.05
Bacha 2000   36  0.4663  0.0047  0.0558  0.0537  0.2337  0.11
Badura 1965   67  0.3772  0.0048  0.0557  0.0567  0.0476  0.04
Barbosa 1983   65  0.384  0.069  0.1328  0.3066  0.0534  0.12
Biret 1990   18  0.5243  0.0027  0.0620  0.3448  0.0825  0.16
Blet 2003   58  0.3926  0.0038  0.0545  0.1073  0.0454  0.06
Block 1995   27  0.4916  0.0113  0.0818  0.3718  0.414  0.39
Blumental 1952   84  0.2769  0.0072  0.0377  0.0382  0.0384  0.03
Boshniakovich 1969   7  0.552  0.083  0.182  0.6013  0.511  0.55
Brailowsky 1960   52  0.4278  0.0067  0.0470  0.0443  0.1347  0.07
Bunin 1987   68  0.3725  0.0075  0.0472  0.0479  0.0386  0.03
Bunin 1987b   70  0.3661  0.0076  0.0376  0.0385  0.0380  0.03
Chiu 1999   63  0.3810  0.0124  0.0925  0.3042  0.1619  0.22
Cohen 1997   74  0.3362  0.0062  0.0561  0.0525  0.2935  0.12
Cortot 1951   53  0.4229  0.0043  0.0643  0.1142  0.1436  0.12
Csalog 1996   50  0.4281  0.0057  0.0466  0.0444  0.1452  0.07
Czerny 1949   55  0.4019  0.0154  0.0552  0.0571  0.0473  0.04
Czerny 1990   26  0.4937  0.0041  0.0637  0.1968  0.0444  0.09
Duchoud 2007   22  0.5014  0.0123  0.0729  0.2937  0.1818  0.23
Ezaki 2006   16  0.523  0.078  0.135  0.5645  0.1215  0.26
Falvay 1989   31  0.4849  0.0034  0.0635  0.2038  0.1723  0.18
Farrell 1958   32  0.4731  0.0036  0.0631  0.2537  0.1620  0.20
Ferenczy 1958   75  0.3379  0.0087  0.0386  0.0384  0.0291  0.02
Fliere 1977   17  0.5215  0.0110  0.1010  0.4770  0.0428  0.14
Fou 1978   24  0.5020  0.015  0.156  0.5434  0.246  0.36
Francois 1956   49  0.4257  0.0058  0.0565  0.0576  0.0377  0.04
Friedman 1923   88  0.2189  0.0078  0.0385  0.0381  0.0489  0.03
Friedman 1923b   87  0.2147  0.0077  0.0381  0.0369  0.0487  0.03
Friedman 1930   86  0.2512  0.0171  0.0373  0.0375  0.0483  0.03
Garcia 2007   66  0.3774  0.0065  0.0646  0.0644  0.1146  0.08
Garcia 2007b   80  0.3045  0.0085  0.0379  0.0343  0.1065  0.05
Gierzod 1998   23  0.5035  0.0040  0.0636  0.2066  0.0443  0.09
Gornostaeva 1994   5  0.5575  0.0016  0.1019  0.3730  0.318  0.34
Groot 1988   39  0.4567  0.0046  0.0554  0.0547  0.0662  0.05
Harasiewicz 1955   38  0.459  0.024  0.137  0.4951  0.0624  0.17
Hatto 1993   83  0.2928  0.0052  0.0556  0.0562  0.0563  0.05
Hatto 1997   79  0.3044  0.0030  0.0642  0.1385  0.0355  0.06
Horowitz 1949   57  0.3988  0.0073  0.0375  0.0362  0.0481  0.03
Indjic 1988   82  0.2970  0.0053  0.0647  0.0673  0.0458  0.05
Kapell 1951   14  0.537  0.0239  0.0538  0.1952  0.0539  0.10
Kissin 1993   9  0.5458  0.0014  0.089  0.4761  0.0526  0.15
Kushner 1989   4  0.576  0.027  0.163  0.5932  0.263  0.39
Luisada 1991   47  0.4364  0.0056  0.0562  0.0557  0.0557  0.05
Lushtak 2004   46  0.4323  0.0129  0.0630  0.2766  0.0441  0.10
Malcuzynski 1961   3  0.5922  0.016  0.1317  0.4125  0.317  0.36
Magaloff 1978   12  0.5318  0.0119  0.0921  0.3333  0.2116  0.26
Magin 1975   37  0.4653  0.0045  0.0741  0.1369  0.0450  0.07
Michalowski 1933   81  0.2984  0.0079  0.0387  0.0369  0.0569  0.04
Milkina 1970   2  0.595  0.042  0.204  0.5721  0.432  0.50
Mohovich 1999   15  0.5336  0.0022  0.0716  0.4246  0.0922  0.19
Moravec 1969   48  0.4242  0.0070  0.0469  0.0477  0.0378  0.03
Morozova 2008   59  0.3917  0.0150  0.0560  0.0573  0.0471  0.04
Neighaus 1950   11  0.5311  0.0118  0.1014  0.4551  0.0527  0.15
Niedzielski 1931   76  0.3285  0.0086  0.0382  0.0372  0.0379  0.03
Ohlsson 1999   10  0.5427  0.0021  0.0813  0.4571  0.0432  0.13
Osinska 1989   19  0.5213  0.0115  0.0911  0.4742  0.1910  0.30
Pachmann 1927   56  0.4056  0.0063  0.0650  0.0627  0.3429  0.14
Paderewski 1930   28  0.4941  0.0020  0.0926  0.3022  0.3011  0.30
Perlemuter 1992   64  0.3859  0.0064  0.0651  0.0681  0.0366  0.04
Pierdomenico 2008   25  0.4976  0.0035  0.0632  0.2422  0.3412  0.29
Poblocka 1999   13  0.5339  0.0028  0.0724  0.3265  0.0530  0.13
Rabcewiczowa 1932   45  0.4354  0.0059  0.0563  0.0542  0.1245  0.08
Rachmaninoff 1923   78  0.3186  0.0074  0.0374  0.0386  0.0290  0.02
Rangell 2001   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Richter 1976   60  0.3973  0.0066  0.0468  0.0469  0.0468  0.04
Rosen 1989   6  0.5538  0.0017  0.1512  0.4734  0.219  0.31
Rosenthal 1930   71  0.3646  0.0088  0.0471  0.0469  0.0475  0.04
Rosenthal 1931   73  0.3682  0.0083  0.0384  0.0345  0.1153  0.06
Rosenthal 1931b   69  0.3791  0.0081  0.0383  0.0345  0.1064  0.05
Rosenthal 1931c   54  0.4083  0.0080  0.0288  0.0253  0.0488  0.03
Rosenthal 1931d   61  0.3990  0.0082  0.0378  0.0342  0.1456  0.06
Rossi 2007   85  0.2660  0.0068  0.0467  0.0442  0.1348  0.07
Rubinstein 1939   72  0.3650  0.0055  0.0555  0.0532  0.2733  0.12
Rubinstein 1952   29  0.4921  0.0133  0.0633  0.2331  0.2817  0.25
Rubinstein 1966   21  0.5024  0.0111  0.098  0.4732  0.305  0.38
Schilhawsky 1960   77  0.3255  0.0084  0.0380  0.0380  0.0482  0.03
Shebanova 2002   8  0.558  0.0212  0.0815  0.4337  0.1813  0.28
Smith 1975   44  0.4448  0.0044  0.0544  0.1169  0.0449  0.07
Sokolov 2002   34  0.4751  0.0060  0.0559  0.0570  0.0467  0.04
Sztompka 1959   33  0.4740  0.0042  0.0540  0.1477  0.0451  0.07
Tomsic 1995   20  0.5168  0.0032  0.0627  0.3034  0.2414  0.27
Uninsky 1932   62  0.3866  0.0069  0.0564  0.0570  0.0472  0.04
Uninsky 1971   51  0.4234  0.0061  0.0553  0.0571  0.0470  0.04
Wasowski 1980   40  0.4532  0.0037  0.0639  0.1558  0.0542  0.09
Zak 1937   30  0.4871  0.0026  0.0722  0.3269  0.0438  0.11
Zak 1951   35  0.4730  0.0025  0.0823  0.3266  0.0531  0.13
Average   1  0.631  0.461  0.451  0.7960  0.0521  0.20
Random 1   91  -0.0687  0.0091  0.0191  0.0144  0.1085  0.03
Random 2   90  0.0077  0.0090  0.0190  0.0136  0.1974  0.04
Random 3   89  0.0080  0.0089  0.0189  0.0125  0.2760  0.05

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).