Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   19  0.5024  0.0013  0.0913  0.5855  0.0420  0.15
Anderszewski 2003   32  0.4556  0.0041  0.0544  0.1280  0.0344  0.06
Ashkenazy 1981   39  0.4314  0.0033  0.1128  0.3183  0.0333  0.10
Bacha 2000   80  0.2971  0.0084  0.0286  0.0275  0.0474  0.03
Badura 1965   55  0.3941  0.0031  0.0633  0.2355  0.0531  0.11
Barbosa 1983   83  0.2751  0.0077  0.0374  0.0379  0.0483  0.03
Biret 1990   33  0.4552  0.0049  0.0747  0.0760  0.0545  0.06
Blet 2003   56  0.3931  0.0065  0.0557  0.0585  0.0365  0.04
Block 1995   69  0.3580  0.0067  0.0467  0.0463  0.0468  0.04
Blumental 1952   54  0.398  0.0126  0.0830  0.3073  0.0432  0.11
Boshniakovich 1969   53  0.3926  0.0063  0.0566  0.0577  0.0469  0.04
Brailowsky 1960   23  0.4712  0.0021  0.0925  0.3435  0.299  0.31
Bunin 1987   35  0.4470  0.0029  0.0627  0.3146  0.0624  0.14
Bunin 1987b   38  0.4364  0.0028  0.0626  0.3346  0.0622  0.14
Chiu 1999   86  0.2577  0.0074  0.0373  0.0363  0.0477  0.03
Cohen 1997   84  0.2636  0.0070  0.0375  0.0356  0.0571  0.04
Cortot 1951   27  0.4640  0.0032  0.0834  0.2244  0.1116  0.16
Csalog 1996   74  0.3322  0.0079  0.0381  0.0366  0.0484  0.03
Czerny 1949   14  0.5219  0.0017  0.1112  0.5842  0.1310  0.27
Czerny 1990   13  0.5220  0.0015  0.1314  0.5863  0.0421  0.15
Duchoud 2007   64  0.3666  0.0059  0.0562  0.0582  0.0366  0.04
Ezaki 2006   16  0.5145  0.0011  0.1510  0.6073  0.0417  0.15
Falvay 1989   47  0.4134  0.0042  0.0541  0.1473  0.0442  0.07
Farrell 1958   52  0.4028  0.0057  0.0560  0.0578  0.0359  0.04
Ferenczy 1958   43  0.4249  0.0056  0.0655  0.0666  0.0452  0.05
Fliere 1977   10  0.5346  0.0018  0.1215  0.5370  0.0418  0.15
Fou 1978   49  0.416  0.0140  0.0639  0.1663  0.0535  0.09
Francois 1956   26  0.4667  0.0044  0.0742  0.1368  0.0346  0.06
Friedman 1923   79  0.3153  0.0062  0.0654  0.0660  0.0556  0.05
Friedman 1923b   76  0.3169  0.0061  0.0556  0.0561  0.0555  0.05
Friedman 1930   51  0.4135  0.0025  0.0823  0.3463  0.0526  0.13
Garcia 2007   82  0.2855  0.0086  0.0379  0.0379  0.0387  0.03
Garcia 2007b   85  0.2548  0.0085  0.0284  0.0286  0.0390  0.02
Gierzod 1998   12  0.5316  0.0019  0.1416  0.5063  0.0423  0.14
Gornostaeva 1994   7  0.5613  0.0010  0.156  0.6335  0.227  0.37
Groot 1988   28  0.4618  0.008  0.1620  0.4667  0.0425  0.14
Harasiewicz 1955   50  0.4121  0.0020  0.1321  0.3672  0.0334  0.10
Hatto 1993   70  0.3587  0.0058  0.0558  0.0588  0.0373  0.04
Hatto 1997   59  0.3847  0.0050  0.0746  0.0778  0.0451  0.05
Horowitz 1949   30  0.4542  0.0030  0.0724  0.3440  0.1812  0.25
Indjic 1988   71  0.3585  0.0064  0.0651  0.0677  0.0450  0.05
Kapell 1951   21  0.4973  0.0045  0.0652  0.0649  0.0549  0.05
Kissin 1993   44  0.4282  0.0046  0.0650  0.0676  0.0364  0.04
Kushner 1989   20  0.4927  0.0047  0.0745  0.0774  0.0448  0.05
Luisada 1991   65  0.3650  0.0073  0.0370  0.0383  0.0375  0.03
Lushtak 2004   66  0.3684  0.0048  0.0648  0.0683  0.0367  0.04
Malcuzynski 1961   8  0.5423  0.0016  0.1017  0.4945  0.0713  0.19
Magaloff 1978   6  0.5629  0.006  0.138  0.6138  0.178  0.32
Magin 1975   37  0.4476  0.0054  0.0561  0.0581  0.0358  0.04
Michalowski 1933   67  0.3659  0.0060  0.0563  0.0571  0.0463  0.04
Milkina 1970   34  0.4530  0.0053  0.0649  0.0681  0.0360  0.04
Mohovich 1999   31  0.4538  0.0027  0.0632  0.2583  0.0337  0.09
Moravec 1969   9  0.547  0.019  0.167  0.6214  0.426  0.51
Morozova 2008   40  0.4315  0.0022  0.1129  0.3176  0.0430  0.11
Neighaus 1950   42  0.4339  0.0037  0.0636  0.1773  0.0440  0.08
Niedzielski 1931   45  0.4232  0.0035  0.0737  0.1661  0.0343  0.07
Ohlsson 1999   41  0.4372  0.0051  0.0559  0.0572  0.0462  0.04
Osinska 1989   36  0.4488  0.0052  0.0564  0.0573  0.0457  0.04
Pachmann 1927   81  0.2883  0.0082  0.0287  0.0271  0.0482  0.03
Paderewski 1930   57  0.3874  0.0071  0.0372  0.0385  0.0381  0.03
Perlemuter 1992   58  0.3825  0.0043  0.0638  0.1686  0.0341  0.07
Pierdomenico 2008   75  0.3289  0.0081  0.0283  0.0285  0.0389  0.02
Poblocka 1999   18  0.5043  0.0034  0.0731  0.2971  0.0428  0.11
Rabcewiczowa 1932   17  0.509  0.017  0.1618  0.4940  0.1311  0.25
Rachmaninoff 1923   5  0.584  0.035  0.535  0.743  0.625  0.68
Rangell 2001   68  0.3611  0.0068  0.0468  0.0470  0.0472  0.04
Richter 1976   46  0.4260  0.0036  0.0643  0.1358  0.0538  0.08
Rosen 1989   29  0.4637  0.0039  0.0635  0.1984  0.0339  0.08
Rosenthal 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931   3  0.695  0.023  0.493  0.894  0.914  0.90
Rosenthal 1931b   2  0.703  0.052  0.442  0.914  0.932  0.92
Rosenthal 1931c   1  0.781  0.731  0.721  0.944  0.931  0.93
Rosenthal 1931d   4  0.692  0.084  0.524  0.894  0.933  0.91
Rossi 2007   87  0.2279  0.0087  0.0369  0.0373  0.0476  0.03
Rubinstein 1939   77  0.3163  0.0083  0.0285  0.0268  0.0478  0.03
Rubinstein 1952   73  0.3386  0.0076  0.0377  0.0378  0.0488  0.03
Rubinstein 1966   60  0.3744  0.0075  0.0376  0.0386  0.0385  0.03
Schilhawsky 1960   24  0.4658  0.0023  0.0822  0.3566  0.0427  0.12
Shebanova 2002   62  0.3690  0.0072  0.0371  0.0378  0.0486  0.03
Smith 1975   15  0.5110  0.0014  0.109  0.6054  0.0514  0.17
Sokolov 2002   11  0.5333  0.0012  0.1011  0.5963  0.0419  0.15
Sztompka 1959   22  0.4817  0.0024  0.0919  0.4752  0.0615  0.17
Tomsic 1995   78  0.3161  0.0078  0.0380  0.0368  0.0561  0.04
Uninsky 1932   48  0.4157  0.0055  0.0653  0.0675  0.0453  0.05
Uninsky 1971   25  0.4665  0.0038  0.0840  0.1648  0.0729  0.11
Wasowski 1980   72  0.3454  0.0080  0.0382  0.0346  0.0747  0.05
Zak 1937   61  0.3662  0.0069  0.0378  0.0385  0.0379  0.03
Zak 1951   63  0.3668  0.0066  0.0565  0.0587  0.0280  0.03
Random 1   90  -0.0575  0.0090  0.0190  0.0126  0.2354  0.05
Random 2   88  0.0181  0.0088  0.0288  0.0210  0.4236  0.09
Random 3   89  -0.0278  0.0089  0.0189  0.0133  0.1370  0.04

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).