Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   29  0.3742  0.0036  0.0833  0.2885  0.0335  0.09
Anderszewski 2003   18  0.4343  0.0013  0.1219  0.4854  0.0418  0.14
Ashkenazy 1981   27  0.3720  0.0030  0.0832  0.3078  0.0337  0.09
Bacha 2000   28  0.378  0.0047  0.0646  0.0669  0.0446  0.05
Badura 1965   83  0.2433  0.0065  0.0465  0.0481  0.0377  0.03
Barbosa 1983   87  0.1980  0.0087  0.0368  0.0388  0.0286  0.02
Biret 1990   31  0.3721  0.0049  0.0650  0.0674  0.0451  0.05
Blet 2003   64  0.3044  0.0060  0.0464  0.0470  0.0458  0.04
Block 1995   52  0.3358  0.0053  0.0648  0.0683  0.0360  0.04
Blumental 1952   45  0.359  0.0029  0.0735  0.2467  0.0433  0.10
Boshniakovich 1969   51  0.3445  0.0051  0.0555  0.0575  0.0461  0.04
Brailowsky 1960   7  0.4911  0.006  0.188  0.6616  0.525  0.59
Bunin 1987   58  0.3167  0.0059  0.0459  0.0470  0.0462  0.04
Bunin 1987b   61  0.3181  0.0058  0.0462  0.0471  0.0456  0.04
Chiu 1999   80  0.2668  0.0054  0.0649  0.0671  0.0447  0.05
Cohen 1997   57  0.3122  0.0033  0.0631  0.3019  0.367  0.33
Cortot 1951   65  0.3032  0.0084  0.0376  0.0367  0.0479  0.03
Csalog 1996   72  0.2849  0.0076  0.0286  0.0273  0.0387  0.02
Czerny 1949   53  0.3210  0.0042  0.0544  0.1086  0.0349  0.05
Czerny 1990   46  0.3523  0.0038  0.0636  0.2387  0.0341  0.08
Duchoud 2007   77  0.2769  0.0069  0.0378  0.0385  0.0376  0.03
Ezaki 2006   17  0.435  0.0016  0.1212  0.5969  0.0417  0.15
Falvay 1989   20  0.4212  0.0015  0.1116  0.5148  0.0712  0.19
Farrell 1958   50  0.3434  0.0048  0.0552  0.0581  0.0354  0.04
Ferenczy 1958   59  0.3115  0.0078  0.0288  0.0274  0.0388  0.02
Fliere 1977   19  0.4382  0.0026  0.0823  0.4281  0.0326  0.11
Fou 1978   21  0.426  0.0017  0.1211  0.6060  0.0515  0.17
Francois 1956   39  0.3659  0.0034  0.0630  0.3079  0.0338  0.09
Friedman 1923   85  0.2435  0.0071  0.0458  0.0479  0.0464  0.04
Friedman 1923b   84  0.2428  0.0070  0.0371  0.0380  0.0478  0.03
Friedman 1930   69  0.2950  0.0056  0.0553  0.0563  0.0548  0.05
Garcia 2007   73  0.2883  0.0080  0.0287  0.0282  0.0389  0.02
Garcia 2007b   81  0.2570  0.0066  0.0372  0.0366  0.0480  0.03
Gierzod 1998   9  0.4751  0.0014  0.1413  0.5677  0.0321  0.13
Gornostaeva 1994   8  0.4871  0.009  0.186  0.6755  0.0514  0.18
Groot 1988   25  0.3924  0.0022  0.1221  0.4474  0.0329  0.11
Harasiewicz 1955   43  0.3529  0.0024  0.0722  0.4375  0.0330  0.11
Hatto 1993   75  0.2784  0.0072  0.0279  0.0283  0.0390  0.02
Hatto 1997   70  0.2946  0.0061  0.0463  0.0467  0.0459  0.04
Horowitz 1949   44  0.3585  0.0043  0.0542  0.1468  0.0344  0.06
Indjic 1988   76  0.2730  0.0079  0.0285  0.0274  0.0473  0.03
Kapell 1951   47  0.3560  0.0062  0.0461  0.0473  0.0455  0.04
Kissin 1993   33  0.3772  0.0035  0.0737  0.2187  0.0245  0.06
Kushner 1989   10  0.4636  0.0019  0.1226  0.3874  0.0423  0.12
Luisada 1991   49  0.3437  0.0055  0.0647  0.0688  0.0265  0.03
Lushtak 2004   60  0.3147  0.0037  0.0638  0.2171  0.0436  0.09
Malcuzynski 1961   11  0.4638  0.0018  0.1015  0.5487  0.0320  0.13
Magaloff 1978   6  0.5173  0.008  0.2410  0.6345  0.098  0.24
Magin 1975   16  0.4461  0.0021  0.1717  0.5183  0.0322  0.12
Michalowski 1933   82  0.2452  0.0074  0.0280  0.0282  0.0384  0.02
Milkina 1970   14  0.4525  0.0020  0.1218  0.4962  0.0516  0.16
Mohovich 1999   23  0.4174  0.0023  0.1020  0.4583  0.0325  0.12
Moravec 1969   12  0.4553  0.0010  0.1714  0.5528  0.296  0.40
Morozova 2008   34  0.367  0.0027  0.0927  0.3684  0.0331  0.10
Neighaus 1950   40  0.3548  0.0050  0.0554  0.0581  0.0463  0.04
Niedzielski 1931   36  0.3626  0.0028  0.0825  0.3940  0.129  0.22
Ohlsson 1999   55  0.3275  0.0068  0.0460  0.0479  0.0457  0.04
Osinska 1989   48  0.3586  0.0057  0.0457  0.0475  0.0452  0.04
Pachmann 1927   74  0.2762  0.0075  0.0283  0.0265  0.0472  0.03
Paderewski 1930   63  0.3054  0.0082  0.0284  0.0284  0.0382  0.02
Perlemuter 1992   56  0.3231  0.0040  0.0739  0.2077  0.0339  0.08
Pierdomenico 2008   71  0.2855  0.0067  0.0373  0.0385  0.0369  0.03
Poblocka 1999   54  0.3287  0.0083  0.0375  0.0383  0.0467  0.03
Rabcewiczowa 1932   26  0.3827  0.0012  0.1624  0.4246  0.0813  0.18
Rachmaninoff 1923   13  0.4539  0.007  0.177  0.6646  0.0610  0.20
Rangell 2001   32  0.3776  0.0045  0.0545  0.1083  0.0350  0.05
Richter 1976   78  0.2756  0.0086  0.0367  0.0387  0.0281  0.02
Rosen 1989   22  0.4216  0.0025  0.0828  0.3273  0.0428  0.11
Rosenthal 1930   4  0.704  0.004  0.844  0.932  0.914  0.92
Rosenthal 1931   1  0.931  0.831  0.821  0.991  0.991  0.99
Rosenthal 1931b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931c   3  0.833  0.013  0.903  0.981  0.973  0.97
Rosenthal 1931d   2  0.922  0.162  0.932  0.991  0.992  0.99
Rossi 2007   86  0.2263  0.0064  0.0370  0.0375  0.0468  0.03
Rubinstein 1939   41  0.3564  0.0046  0.0551  0.0566  0.0453  0.04
Rubinstein 1952   38  0.3688  0.0032  0.0729  0.3151  0.0619  0.14
Rubinstein 1966   30  0.3777  0.0041  0.0641  0.1657  0.0727  0.11
Schilhawsky 1960   37  0.3617  0.0031  0.0834  0.2881  0.0334  0.09
Shebanova 2002   62  0.3140  0.0073  0.0377  0.0385  0.0375  0.03
Smith 1975   15  0.4518  0.0011  0.179  0.6453  0.0611  0.20
Sokolov 2002   24  0.3913  0.0039  0.0640  0.1984  0.0340  0.08
Sztompka 1959   67  0.2989  0.0081  0.0282  0.0286  0.0383  0.02
Tomsic 1995   66  0.3078  0.0063  0.0466  0.0483  0.0371  0.03
Uninsky 1932   79  0.2614  0.0085  0.0374  0.0382  0.0374  0.03
Uninsky 1971   68  0.2990  0.0077  0.0289  0.0287  0.0285  0.02
Wasowski 1980   88  0.1865  0.0088  0.0369  0.0381  0.0366  0.03
Zak 1937   42  0.3557  0.0052  0.0456  0.0488  0.0370  0.03
Zak 1951   35  0.3679  0.0044  0.0743  0.1369  0.0442  0.07
Average   5  0.5419  0.005  0.375  0.7587  0.0224  0.12
Random 1   90  -0.0341  0.0090  0.0290  0.0224  0.2743  0.07
Random 2   89  0.0091  0.0089  0.0281  0.024  0.4832  0.10
Random 3   91  -0.0766  0.0091  0.0191  0.0189  0.0191  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).