Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   16  0.5961  0.0023  0.1122  0.4032  0.3229  0.36
Anderszewski 2003   71  0.4516  0.0070  0.0649  0.0672  0.0375  0.04
Ashkenazy 1981   24  0.5876  0.0016  0.1120  0.4427  0.3824  0.41
Bacha 2000   66  0.4839  0.0069  0.0557  0.0527  0.3651  0.13
Badura 1965   70  0.4622  0.0040  0.0744  0.1225  0.3640  0.21
Barbosa 1983   31  0.5648  0.0034  0.0731  0.3012  0.5125  0.39
Biret 1990   15  0.5962  0.0013  0.0811  0.548  0.5710  0.55
Blet 2003   38  0.5328  0.0055  0.0651  0.0629  0.2456  0.12
Block 1995   69  0.4777  0.0067  0.0468  0.0440  0.1367  0.07
Blumental 1952   56  0.5063  0.0063  0.0559  0.0534  0.1763  0.09
Boshniakovich 1969   9  0.615  0.007  0.115  0.654  0.693  0.67
Brailowsky 1960   59  0.4929  0.0065  0.0563  0.0530  0.3652  0.13
Bunin 1987   50  0.5164  0.0056  0.0476  0.0430  0.2858  0.11
Bunin 1987b   52  0.5078  0.0057  0.0560  0.0532  0.2955  0.12
Chiu 1999   17  0.5921  0.0012  0.0915  0.525  0.677  0.59
Cohen 1997   87  0.3079  0.0086  0.0387  0.0349  0.0576  0.04
Cortot 1951   77  0.3949  0.0082  0.0477  0.0475  0.0479  0.04
Csalog 1996   40  0.5314  0.0039  0.0738  0.215  0.6428  0.37
Czerny 1949   42  0.5230  0.0049  0.0466  0.0437  0.2162  0.09
Czerny 1990   25  0.5765  0.0029  0.0734  0.2838  0.1737  0.22
Duchoud 2007   63  0.487  0.0068  0.0472  0.0444  0.1366  0.07
Ezaki 2006   14  0.6031  0.0028  0.1325  0.3927  0.3827  0.38
Falvay 1989   8  0.613  0.0026  0.1024  0.3916  0.5322  0.45
Farrell 1958   51  0.5080  0.0052  0.0553  0.0525  0.3154  0.12
Ferenczy 1958   73  0.4223  0.0075  0.0479  0.0470  0.0385  0.03
Fliere 1977   4  0.6381  0.005  0.116  0.6225  0.4612  0.53
Fou 1978   10  0.6150  0.0018  0.1110  0.5916  0.4514  0.52
Francois 1956   46  0.516  0.0047  0.0562  0.0527  0.3950  0.14
Friedman 1923   78  0.3815  0.0074  0.0381  0.0336  0.1868  0.07
Friedman 1923b   76  0.4040  0.0073  0.0555  0.0531  0.2459  0.11
Friedman 1930   72  0.432  0.0064  0.0475  0.0441  0.1665  0.08
Garcia 2007   75  0.4166  0.0077  0.0478  0.0422  0.3157  0.11
Garcia 2007b   83  0.3632  0.0078  0.0464  0.0445  0.0872  0.06
Gierzod 1998   13  0.609  0.0017  0.0916  0.5028  0.4123  0.45
Gornostaeva 1994   61  0.4911  0.0066  0.0467  0.0459  0.0477  0.04
Groot 1988   33  0.5482  0.0030  0.0727  0.3618  0.4326  0.39
Harasiewicz 1955   19  0.594  0.003  0.234  0.678  0.536  0.60
Hatto 1993   55  0.5083  0.0032  0.0735  0.2824  0.2134  0.24
Hatto 1997   48  0.5151  0.0033  0.0836  0.2735  0.1739  0.21
Horowitz 1949   29  0.5633  0.0011  0.1126  0.385  0.6416  0.49
Indjic 1988   44  0.5267  0.0025  0.1029  0.3319  0.3330  0.33
Kapell 1951   26  0.5741  0.0035  0.1032  0.2942  0.1636  0.22
Kissin 1993   3  0.6452  0.004  0.183  0.708  0.662  0.68
Kushner 1989   20  0.5917  0.0031  0.0728  0.3540  0.1633  0.24
Luisada 1991   21  0.598  0.006  0.1019  0.4516  0.5117  0.48
Lushtak 2004   12  0.6024  0.009  0.159  0.603  0.615  0.60
Malcuzynski 1961   41  0.5268  0.0041  0.0541  0.1639  0.1744  0.16
Magaloff 1978   43  0.5242  0.0048  0.0470  0.0440  0.1764  0.08
Magin 1975   49  0.5169  0.0024  0.0933  0.2827  0.3031  0.29
Michalowski 1933   85  0.3353  0.0079  0.0648  0.0655  0.0669  0.06
Milkina 1970   27  0.5643  0.0015  0.0918  0.4817  0.4520  0.46
Mohovich 1999   7  0.6144  0.0020  0.1017  0.5015  0.5613  0.53
Moravec 1969   67  0.4884  0.0072  0.0647  0.0652  0.0473  0.05
Morozova 2008   39  0.5345  0.0037  0.0737  0.2335  0.1938  0.21
Neighaus 1950   11  0.6118  0.0010  0.138  0.6111  0.519  0.56
Niedzielski 1931   60  0.4970  0.0051  0.0554  0.059  0.5443  0.16
Ohlsson 1999   23  0.5834  0.0014  0.0812  0.5421  0.4318  0.48
Osinska 1989   18  0.5925  0.0022  0.0914  0.5320  0.4715  0.50
Pachmann 1927   47  0.5135  0.0046  0.0473  0.044  0.6445  0.16
Paderewski 1930   79  0.3754  0.0081  0.0385  0.0363  0.0483  0.03
Perlemuter 1992   34  0.5436  0.0044  0.0645  0.1225  0.3541  0.20
Pierdomenico 2008   65  0.4855  0.0061  0.0561  0.0521  0.3653  0.13
Poblocka 1999   30  0.5626  0.0036  0.0930  0.3234  0.2532  0.28
Rabcewiczowa 1932   74  0.4271  0.0076  0.0380  0.0372  0.0482  0.03
Rachmaninoff 1923   45  0.5156  0.0038  0.0839  0.1928  0.2935  0.23
Rangell 2001   62  0.4846  0.0059  0.0469  0.0422  0.3260  0.11
Richter 1976   58  0.4985  0.0054  0.0650  0.0629  0.3549  0.14
Rosen 1989   32  0.5547  0.0042  0.0540  0.1740  0.1546  0.16
Rosenthal 1930   81  0.3686  0.0085  0.0386  0.0379  0.0386  0.03
Rosenthal 1931   86  0.3287  0.0087  0.0383  0.0369  0.0384  0.03
Rosenthal 1931b   84  0.3572  0.0083  0.0388  0.0356  0.0488  0.03
Rosenthal 1931c   80  0.3788  0.0084  0.0384  0.0375  0.0389  0.03
Rosenthal 1931d   82  0.3689  0.0080  0.0382  0.0356  0.0578  0.04
Rossi 2007   88  0.2890  0.0088  0.0471  0.0481  0.0380  0.03
Rubinstein 1939   68  0.4727  0.0071  0.0646  0.0616  0.4047  0.15
Rubinstein 1952   22  0.5819  0.0021  0.0923  0.3915  0.5521  0.46
Rubinstein 1966   6  0.6237  0.0019  0.1013  0.5315  0.5511  0.54
Schilhawsky 1960   28  0.5657  0.0027  0.1021  0.4412  0.5319  0.48
Shebanova 2002   5  0.6358  0.008  0.137  0.6211  0.558  0.58
Smith 1975   54  0.5073  0.0062  0.0465  0.0477  0.0381  0.03
Sokolov 2002   36  0.5359  0.0043  0.0542  0.1544  0.1348  0.14
Sztompka 1959   64  0.4810  0.0058  0.0474  0.0474  0.0474  0.04
Tomsic 1995   35  0.5412  0.0045  0.0743  0.1323  0.3242  0.20
Uninsky 1932   53  0.5020  0.0060  0.0558  0.0547  0.0871  0.06
Uninsky 1971   37  0.5313  0.0050  0.0552  0.0547  0.0770  0.06
Wasowski 1980   57  0.5091  0.0053  0.0556  0.0540  0.1561  0.09
Zak 1937   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Zak 1951   1  0.981  1.001  0.991  1.001  1.001  1.00
Average   2  0.7560  0.002  0.712  0.8818  0.484  0.65
Random 1   89  -0.0574  0.0090  0.0190  0.0139  0.1287  0.03
Random 2   91  -0.0838  0.0089  0.0189  0.0186  0.0291  0.01
Random 3   90  -0.0775  0.0091  0.0191  0.0175  0.0390  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).