Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   27  0.3945  0.0029  0.0825  0.4176  0.0332  0.11
Anderszewski 2003   15  0.4621  0.0016  0.1112  0.5952  0.0514  0.17
Ashkenazy 1981   35  0.3683  0.0034  0.0632  0.3185  0.0337  0.10
Bacha 2000   43  0.3525  0.0046  0.0647  0.0678  0.0447  0.05
Badura 1965   73  0.2733  0.0050  0.0457  0.0483  0.0383  0.03
Barbosa 1983   83  0.2255  0.0071  0.0369  0.0382  0.0476  0.03
Biret 1990   50  0.3446  0.0061  0.0460  0.0476  0.0460  0.04
Blet 2003   61  0.3167  0.0053  0.0466  0.0484  0.0378  0.03
Block 1995   44  0.3577  0.0040  0.0642  0.1569  0.0442  0.08
Blumental 1952   48  0.3456  0.0035  0.0736  0.2654  0.0533  0.11
Boshniakovich 1969   60  0.3184  0.0060  0.0456  0.0476  0.0459  0.04
Brailowsky 1960   6  0.4947  0.005  0.218  0.6516  0.525  0.58
Bunin 1987   62  0.3041  0.0065  0.0373  0.0382  0.0384  0.03
Bunin 1987b   64  0.3085  0.0066  0.0550  0.0576  0.0352  0.04
Chiu 1999   79  0.2442  0.0054  0.0461  0.0482  0.0365  0.03
Cohen 1997   65  0.3043  0.0037  0.0737  0.2523  0.317  0.28
Cortot 1951   55  0.3218  0.0079  0.0371  0.0378  0.0388  0.03
Csalog 1996   74  0.2748  0.0077  0.0376  0.0363  0.0477  0.03
Czerny 1949   42  0.3549  0.0041  0.0740  0.1965  0.0438  0.09
Czerny 1990   30  0.3878  0.0032  0.0827  0.3966  0.0427  0.12
Duchoud 2007   76  0.2768  0.0082  0.0375  0.0387  0.0382  0.03
Ezaki 2006   13  0.466  0.0010  0.146  0.6756  0.059  0.18
Falvay 1989   19  0.4327  0.0018  0.1116  0.5667  0.0512  0.17
Farrell 1958   40  0.3511  0.0045  0.0645  0.0675  0.0351  0.04
Ferenczy 1958   49  0.347  0.0057  0.0452  0.0449  0.0556  0.04
Fliere 1977   20  0.4269  0.0027  0.0823  0.4574  0.0422  0.13
Fou 1978   18  0.4410  0.0013  0.125  0.6752  0.068  0.20
Francois 1956   38  0.3586  0.0039  0.0739  0.2186  0.0343  0.08
Friedman 1923   84  0.2214  0.0084  0.0465  0.0479  0.0461  0.04
Friedman 1923b   85  0.2259  0.0083  0.0288  0.0253  0.0585  0.03
Friedman 1930   77  0.2619  0.0067  0.0378  0.0382  0.0379  0.03
Garcia 2007   82  0.2337  0.0086  0.0453  0.0467  0.0458  0.04
Garcia 2007b   86  0.2270  0.0081  0.0384  0.0383  0.0389  0.03
Gierzod 1998   9  0.4720  0.0017  0.1615  0.5666  0.0419  0.15
Gornostaeva 1994   5  0.4971  0.009  0.159  0.6552  0.0511  0.18
Groot 1988   29  0.3838  0.0019  0.1521  0.4883  0.0328  0.12
Harasiewicz 1955   32  0.3760  0.0024  0.1124  0.4580  0.0329  0.12
Hatto 1993   70  0.2787  0.0068  0.0381  0.0383  0.0387  0.03
Hatto 1997   68  0.2988  0.0058  0.0451  0.0487  0.0380  0.03
Horowitz 1949   53  0.3389  0.0047  0.0646  0.0663  0.0448  0.05
Indjic 1988   75  0.278  0.0072  0.0383  0.0385  0.0375  0.03
Kapell 1951   33  0.3757  0.0056  0.0454  0.0486  0.0367  0.03
Kissin 1993   26  0.3958  0.0025  0.0930  0.3478  0.0335  0.10
Kushner 1989   8  0.4713  0.0014  0.1126  0.4177  0.0331  0.11
Luisada 1991   41  0.3550  0.0051  0.0370  0.0384  0.0362  0.03
Lushtak 2004   57  0.3216  0.0031  0.0635  0.2776  0.0436  0.10
Malcuzynski 1961   11  0.4779  0.0020  0.1414  0.5777  0.0323  0.13
Magaloff 1978   7  0.4932  0.007  0.1611  0.6461  0.0415  0.16
Magin 1975   16  0.4551  0.0021  0.1720  0.4985  0.0324  0.12
Michalowski 1933   81  0.2361  0.0085  0.0377  0.0384  0.0373  0.03
Milkina 1970   12  0.4762  0.0015  0.1117  0.5666  0.0513  0.17
Mohovich 1999   21  0.429  0.0022  0.1319  0.5084  0.0326  0.12
Moravec 1969   14  0.4617  0.006  0.1513  0.5820  0.346  0.44
Morozova 2008   25  0.4029  0.0023  0.0918  0.5366  0.0418  0.15
Neighaus 1950   52  0.3390  0.0059  0.0455  0.0483  0.0386  0.03
Niedzielski 1931   45  0.3526  0.0038  0.0934  0.2851  0.0430  0.11
Ohlsson 1999   51  0.3328  0.0062  0.0548  0.0579  0.0455  0.04
Osinska 1989   39  0.3530  0.0055  0.0462  0.0483  0.0449  0.04
Pachmann 1927   71  0.2736  0.0075  0.0382  0.0375  0.0471  0.03
Paderewski 1930   69  0.2872  0.0076  0.0380  0.0379  0.0370  0.03
Perlemuter 1992   54  0.3315  0.0043  0.0643  0.1282  0.0345  0.06
Pierdomenico 2008   78  0.2652  0.0080  0.0372  0.0378  0.0366  0.03
Poblocka 1999   46  0.3480  0.0073  0.0379  0.0379  0.0464  0.03
Rabcewiczowa 1932   28  0.3939  0.0011  0.1422  0.4558  0.0517  0.15
Rachmaninoff 1923   17  0.4422  0.008  0.177  0.6656  0.0510  0.18
Rangell 2001   37  0.3681  0.0044  0.0644  0.1183  0.0346  0.06
Richter 1976   67  0.2934  0.0074  0.0374  0.0380  0.0369  0.03
Rosen 1989   22  0.4123  0.0028  0.1033  0.3082  0.0340  0.09
Rosenthal 1930   4  0.694  0.004  0.824  0.913  0.894  0.90
Rosenthal 1931   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931b   1  0.931  0.971  0.961  0.991  0.991  0.99
Rosenthal 1931c   3  0.813  0.003  0.893  0.972  0.963  0.96
Rosenthal 1931d   2  0.872  0.022  0.892  0.982  0.982  0.98
Rossi 2007   80  0.2335  0.0063  0.0458  0.0460  0.0550  0.04
Rubinstein 1939   31  0.3853  0.0036  0.0738  0.2443  0.1016  0.15
Rubinstein 1952   34  0.3654  0.0026  0.1128  0.3852  0.0620  0.15
Rubinstein 1966   24  0.4063  0.0030  0.0629  0.3575  0.0425  0.12
Schilhawsky 1960   36  0.3664  0.0042  0.0741  0.1667  0.0441  0.08
Shebanova 2002   66  0.3073  0.0078  0.0459  0.0482  0.0457  0.04
Smith 1975   10  0.4712  0.0012  0.1510  0.6571  0.0321  0.14
Sokolov 2002   23  0.4074  0.0033  0.0731  0.3175  0.0334  0.10
Sztompka 1959   59  0.3182  0.0064  0.0463  0.0482  0.0372  0.03
Tomsic 1995   58  0.3240  0.0048  0.0464  0.0465  0.0554  0.04
Uninsky 1932   72  0.275  0.0070  0.0385  0.0380  0.0381  0.03
Uninsky 1971   63  0.3065  0.0069  0.0287  0.0281  0.0474  0.03
Wasowski 1980   87  0.2024  0.0087  0.0367  0.0377  0.0463  0.03
Zak 1937   56  0.3266  0.0052  0.0368  0.0382  0.0368  0.03
Zak 1951   47  0.3444  0.0049  0.0549  0.0583  0.0353  0.04
Random 1   89  -0.0475  0.0089  0.0289  0.0223  0.2644  0.07
Random 2   88  0.0076  0.0088  0.0286  0.027  0.4539  0.09
Random 3   90  -0.0931  0.0090  0.0190  0.0190  0.0190  0.01

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).