Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   7  0.5430  0.0012  0.0916  0.4254  0.0526  0.14
Anderszewski 2003   12  0.5115  0.028  0.136  0.5141  0.1212  0.25
Ashkenazy 1981   64  0.3955  0.0044  0.0743  0.1378  0.0345  0.06
Bacha 2000   47  0.4339  0.0047  0.0547  0.0541  0.1534  0.09
Badura 1965   57  0.4114  0.0243  0.0644  0.1362  0.0539  0.08
Barbosa 1983   35  0.4549  0.0023  0.1124  0.3350  0.0625  0.14
Biret 1990   33  0.4668  0.0037  0.0527  0.2756  0.0628  0.13
Blet 2003   25  0.4736  0.0030  0.0621  0.3642  0.1115  0.20
Block 1995   39  0.4416  0.0128  0.0739  0.1660  0.0440  0.08
Blumental 1952   38  0.452  0.115  0.2113  0.4319  0.306  0.36
Boshniakovich 1969   63  0.3981  0.0073  0.0277  0.0287  0.0385  0.02
Brailowsky 1960   15  0.506  0.0315  0.0926  0.2944  0.1020  0.17
Bunin 1987   18  0.4920  0.0124  0.1111  0.4335  0.199  0.29
Bunin 1987b   23  0.4828  0.0025  0.1015  0.4237  0.1611  0.26
Chiu 1999   72  0.3475  0.0069  0.0279  0.0286  0.0378  0.02
Cohen 1997   68  0.3543  0.0053  0.0458  0.0437  0.2238  0.09
Cortot 1951   13  0.5019  0.0110  0.128  0.4716  0.444  0.45
Csalog 1996   24  0.478  0.0327  0.1025  0.2927  0.327  0.30
Czerny 1949   10  0.5137  0.0020  0.0919  0.3840  0.1513  0.24
Czerny 1990   19  0.4842  0.0033  0.0731  0.2481  0.0341  0.08
Duchoud 2007   74  0.3379  0.0075  0.0280  0.0280  0.0384  0.02
Ezaki 2006   3  0.5811  0.029  0.195  0.5753  0.0617  0.18
Falvay 1989   11  0.513  0.0714  0.0920  0.3762  0.0524  0.14
Farrell 1958   58  0.4131  0.0066  0.0550  0.0577  0.0354  0.04
Ferenczy 1958   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fliere 1977   26  0.4685  0.0050  0.0451  0.0487  0.0365  0.03
Fou 1978   42  0.4453  0.0055  0.0460  0.0468  0.0455  0.04
Francois 1956   41  0.4429  0.0051  0.0548  0.0550  0.0553  0.05
Friedman 1923   86  0.2352  0.0087  0.0465  0.0471  0.0464  0.04
Friedman 1923b   87  0.2373  0.0086  0.0374  0.0375  0.0476  0.03
Friedman 1930   80  0.3150  0.0065  0.0467  0.0451  0.0650  0.05
Garcia 2007   78  0.3157  0.0070  0.0278  0.0259  0.0475  0.03
Garcia 2007b   83  0.2974  0.0061  0.0464  0.0481  0.0377  0.03
Gierzod 1998   16  0.4944  0.0031  0.0628  0.2777  0.0336  0.09
Gornostaeva 1994   17  0.4951  0.0034  0.0734  0.2083  0.0246  0.06
Groot 1988   31  0.4680  0.0038  0.0536  0.1855  0.0442  0.08
Harasiewicz 1955   30  0.4626  0.0026  0.1022  0.3577  0.0333  0.10
Hatto 1993   59  0.4154  0.0017  0.0730  0.2467  0.0530  0.11
Hatto 1997   20  0.487  0.036  0.1712  0.4335  0.1710  0.27
Horowitz 1949   70  0.3462  0.0074  0.0372  0.0388  0.0281  0.02
Indjic 1988   49  0.4270  0.0018  0.1132  0.2460  0.0529  0.11
Kapell 1951   1  0.611  0.311  0.311  0.6611  0.441  0.54
Kissin 1993   62  0.3966  0.0072  0.0287  0.0274  0.0473  0.03
Kushner 1989   50  0.4269  0.0064  0.0462  0.0470  0.0456  0.04
Luisada 1991   28  0.4641  0.0036  0.0638  0.1763  0.0535  0.09
Lushtak 2004   14  0.5017  0.0116  0.0810  0.4464  0.0427  0.13
Malcuzynski 1961   54  0.4134  0.0068  0.0368  0.0363  0.0472  0.03
Magaloff 1978   66  0.3832  0.0078  0.0376  0.0368  0.0467  0.03
Magin 1975   81  0.3087  0.0085  0.0375  0.0374  0.0370  0.03
Michalowski 1933   69  0.3476  0.0029  0.0537  0.1842  0.1918  0.18
Milkina 1970   37  0.4538  0.0052  0.0457  0.0474  0.0457  0.04
Mohovich 1999   8  0.539  0.0313  0.107  0.5046  0.0816  0.20
Moravec 1969   36  0.4513  0.0245  0.0745  0.0741  0.1431  0.10
Morozova 2008   60  0.4024  0.0067  0.0461  0.0481  0.0374  0.03
Neighaus 1950   44  0.4386  0.0042  0.0542  0.1382  0.0347  0.06
Niedzielski 1931   65  0.3847  0.0062  0.0456  0.0469  0.0369  0.03
Ohlsson 1999   55  0.4190  0.0063  0.0646  0.0675  0.0449  0.05
Osinska 1989   6  0.5412  0.0211  0.1214  0.4263  0.0522  0.14
Pachmann 1927   82  0.3082  0.0084  0.0281  0.0283  0.0382  0.02
Paderewski 1930   45  0.4388  0.0046  0.0455  0.0454  0.0559  0.04
Perlemuter 1992   40  0.4464  0.0039  0.0633  0.2157  0.0532  0.10
Pierdomenico 2008   85  0.2967  0.0083  0.0282  0.0282  0.0380  0.02
Poblocka 1999   2  0.615  0.072  0.263  0.5913  0.462  0.52
Rabcewiczowa 1932   22  0.4825  0.0021  0.1017  0.4030  0.218  0.29
Rachmaninoff 1923   73  0.3335  0.0076  0.0285  0.0286  0.0279  0.02
Rangell 2001   76  0.3383  0.0082  0.0283  0.0285  0.0387  0.02
Richter 1976   56  0.4127  0.0058  0.0452  0.0451  0.0648  0.05
Rosen 1989   27  0.4618  0.0140  0.0735  0.1971  0.0437  0.09
Rosenthal 1930   48  0.4248  0.0056  0.0466  0.0455  0.0652  0.05
Rosenthal 1931   71  0.3433  0.0059  0.0549  0.0552  0.0460  0.04
Rosenthal 1931b   79  0.3146  0.0079  0.0373  0.0387  0.0289  0.02
Rosenthal 1931c   61  0.3923  0.0057  0.0463  0.0470  0.0462  0.04
Rosenthal 1931d   75  0.3356  0.0071  0.0286  0.0266  0.0388  0.02
Rossi 2007   84  0.2960  0.0077  0.0284  0.0271  0.0466  0.03
Rubinstein 1939   77  0.3245  0.0081  0.0370  0.0386  0.0368  0.03
Rubinstein 1952   67  0.3663  0.0080  0.0371  0.0362  0.0563  0.04
Rubinstein 1966   32  0.4659  0.0048  0.0454  0.0469  0.0461  0.04
Schilhawsky 1960   21  0.4861  0.0022  0.1018  0.4052  0.0621  0.15
Shebanova 2002   53  0.4184  0.0049  0.0459  0.0453  0.0651  0.05
Smith 1975   5  0.5610  0.023  0.192  0.6322  0.363  0.48
Sokolov 2002   34  0.4522  0.0032  0.0723  0.3350  0.0623  0.14
Sztompka 1959   9  0.5258  0.007  0.149  0.4642  0.1014  0.21
Tomsic 1995   29  0.4640  0.0035  0.0640  0.1480  0.0443  0.07
Uninsky 1932   43  0.4471  0.0019  0.0729  0.2443  0.1319  0.18
Uninsky 1971   4  0.574  0.074  0.174  0.5929  0.305  0.42
Wasowski 1980   46  0.4321  0.0141  0.0641  0.1486  0.0344  0.06
Zak 1937   51  0.4272  0.0060  0.0369  0.0378  0.0471  0.03
Zak 1951   52  0.4289  0.0054  0.0453  0.0476  0.0458  0.04
Random 1   90  -0.1177  0.0090  0.0190  0.0186  0.0290  0.01
Random 2   89  -0.0865  0.0089  0.0189  0.0164  0.0383  0.02
Random 3   88  -0.0678  0.0088  0.0288  0.0261  0.0386  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).