Rubinstein 1952

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   27  0.5054  0.0041  0.0641  0.1356  0.0541  0.08
Anderszewski 2003   79  0.2250  0.0071  0.0374  0.0379  0.0370  0.03
Ashkenazy 1981   50  0.4126  0.0048  0.0560  0.0574  0.0465  0.04
Bacha 2000   28  0.5063  0.0027  0.0825  0.2618  0.4519  0.34
Badura 1965   66  0.3481  0.0055  0.0564  0.0565  0.0464  0.04
Barbosa 1983   44  0.4417  0.0135  0.0534  0.1858  0.0439  0.08
Biret 1990   42  0.4527  0.0043  0.0543  0.1263  0.0442  0.07
Blet 2003   46  0.4460  0.0057  0.0465  0.0472  0.0461  0.04
Block 1995   32  0.4842  0.0026  0.0931  0.1938  0.1527  0.17
Blumental 1952   76  0.2558  0.0073  0.0472  0.0481  0.0376  0.03
Boshniakovich 1969   22  0.5323  0.0024  0.0822  0.3930  0.2920  0.34
Brailowsky 1960   15  0.5657  0.0022  0.1121  0.3922  0.3716  0.38
Bunin 1987   65  0.3410  0.0368  0.0471  0.0488  0.0279  0.03
Bunin 1987b   64  0.3422  0.0069  0.0470  0.0478  0.0368  0.03
Chiu 1999   49  0.4164  0.0021  0.1023  0.3635  0.2023  0.27
Cohen 1997   35  0.4714  0.0113  0.1210  0.521  0.617  0.56
Cortot 1951   71  0.2765  0.0078  0.0375  0.0385  0.0287  0.02
Csalog 1996   8  0.637  0.055  0.166  0.591  0.624  0.60
Czerny 1949   59  0.3753  0.0066  0.0562  0.0579  0.0363  0.04
Czerny 1990   41  0.4575  0.0058  0.0655  0.0681  0.0366  0.04
Duchoud 2007   62  0.3536  0.0067  0.0469  0.0483  0.0374  0.03
Ezaki 2006   36  0.4776  0.0056  0.0561  0.0563  0.0458  0.04
Falvay 1989   4  0.6649  0.007  0.194  0.609  0.498  0.54
Farrell 1958   55  0.3951  0.0062  0.0748  0.0768  0.0352  0.05
Ferenczy 1958   67  0.3380  0.0077  0.0379  0.0381  0.0372  0.03
Fliere 1977   17  0.5559  0.0020  0.1218  0.4360  0.0530  0.15
Fou 1978   6  0.633  0.132  0.205  0.595  0.546  0.56
Francois 1956   19  0.5521  0.0129  0.0730  0.2142  0.1328  0.17
Friedman 1923   90  -0.2086  0.0090  0.0190  0.0189  0.0190  0.01
Friedman 1923b   89  -0.1987  0.0089  0.0289  0.0289  0.0189  0.01
Friedman 1930   86  -0.0152  0.0085  0.0286  0.0286  0.0284  0.02
Garcia 2007   82  0.1482  0.0079  0.0380  0.0386  0.0286  0.02
Garcia 2007b   84  0.0477  0.0084  0.0288  0.0288  0.0288  0.02
Gierzod 1998   45  0.4470  0.0049  0.0845  0.0852  0.0546  0.06
Gornostaeva 1994   24  0.5215  0.0125  0.0924  0.3139  0.1624  0.22
Groot 1988   5  0.654  0.098  0.129  0.5221  0.3713  0.44
Harasiewicz 1955   58  0.379  0.0333  0.0538  0.1463  0.0443  0.07
Hatto 1993   78  0.2378  0.0046  0.0750  0.0747  0.0547  0.06
Hatto 1997   72  0.2716  0.0128  0.0737  0.1656  0.0440  0.08
Horowitz 1949   30  0.4931  0.0034  0.0528  0.2448  0.0534  0.11
Indjic 1988   75  0.2583  0.0031  0.0639  0.1346  0.0635  0.09
Kapell 1951   51  0.4130  0.0065  0.0468  0.0464  0.0460  0.04
Kissin 1993   3  0.6813  0.026  0.203  0.627  0.583  0.60
Kushner 1989   38  0.4688  0.0053  0.0753  0.0783  0.0353  0.05
Luisada 1991   34  0.4739  0.0023  0.0727  0.2457  0.0533  0.11
Lushtak 2004   43  0.4411  0.0230  0.0632  0.1938  0.1626  0.17
Malcuzynski 1961   20  0.5424  0.0042  0.0640  0.1381  0.0345  0.06
Magaloff 1978   11  0.608  0.0311  0.1212  0.4935  0.1722  0.29
Magin 1975   52  0.4125  0.0045  0.0751  0.0759  0.0451  0.05
Michalowski 1933   83  0.0855  0.0083  0.0378  0.0387  0.0282  0.02
Milkina 1970   1  0.702  0.143  0.192  0.632  0.612  0.62
Mohovich 1999   10  0.6171  0.0019  0.1119  0.4222  0.3318  0.37
Moravec 1969   21  0.5318  0.0138  0.0733  0.1832  0.1725  0.17
Morozova 2008   60  0.3666  0.0054  0.0559  0.0584  0.0271  0.03
Neighaus 1950   31  0.4837  0.0039  0.0536  0.1663  0.0537  0.09
Niedzielski 1931   53  0.4056  0.0063  0.0847  0.0866  0.0350  0.05
Ohlsson 1999   23  0.536  0.0616  0.1220  0.4128  0.2321  0.31
Osinska 1989   12  0.5812  0.0212  0.1011  0.5113  0.4311  0.47
Pachmann 1927   14  0.5648  0.0015  0.1417  0.449  0.5810  0.51
Paderewski 1930   29  0.5046  0.0052  0.0749  0.0761  0.0354  0.05
Perlemuter 1992   33  0.4740  0.0032  0.0535  0.1837  0.1429  0.16
Pierdomenico 2008   48  0.4247  0.0036  0.0529  0.2345  0.0731  0.13
Poblocka 1999   26  0.5041  0.0051  0.0846  0.0872  0.0444  0.06
Rabcewiczowa 1932   61  0.3638  0.0064  0.0654  0.0672  0.0359  0.04
Rachmaninoff 1923   80  0.2289  0.0081  0.0283  0.0284  0.0381  0.02
Rangell 2001   18  0.5567  0.0014  0.1315  0.469  0.4412  0.45
Richter 1976   40  0.4645  0.0040  0.0542  0.1251  0.0538  0.08
Rosen 1989   39  0.4643  0.0037  0.0726  0.2571  0.0336  0.09
Rosenthal 1930   69  0.3035  0.0074  0.0473  0.0484  0.0275  0.03
Rosenthal 1931   73  0.2784  0.0061  0.0656  0.0650  0.0555  0.05
Rosenthal 1931b   74  0.2790  0.0060  0.0563  0.0550  0.0556  0.05
Rosenthal 1931c   56  0.3872  0.0059  0.0657  0.0660  0.0457  0.05
Rosenthal 1931d   54  0.3961  0.0044  0.0644  0.1132  0.1632  0.13
Rossi 2007   81  0.1534  0.0082  0.0382  0.0375  0.0280  0.02
Rubinstein 1939   25  0.511  0.161  0.168  0.522  0.615  0.56
Rubinstein 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1966   2  0.6819  0.014  0.151  0.633  0.671  0.65
Schilhawsky 1960   68  0.3044  0.0072  0.0466  0.0464  0.0462  0.04
Shebanova 2002   9  0.6128  0.009  0.137  0.5512  0.499  0.52
Smith 1975   37  0.4733  0.0050  0.0752  0.0752  0.0449  0.05
Sokolov 2002   57  0.3820  0.0170  0.0467  0.0479  0.0367  0.03
Sztompka 1959   70  0.2932  0.0075  0.0376  0.0380  0.0369  0.03
Tomsic 1995   7  0.635  0.0710  0.1713  0.4722  0.2917  0.37
Uninsky 1932   77  0.2468  0.0080  0.0285  0.0282  0.0285  0.02
Uninsky 1971   63  0.3479  0.0076  0.0377  0.0386  0.0283  0.02
Wasowski 1980   47  0.4229  0.0047  0.0658  0.0653  0.0548  0.05
Zak 1937   13  0.5685  0.0017  0.1114  0.4724  0.3514  0.41
Zak 1951   16  0.5562  0.0018  0.1416  0.4626  0.3315  0.39
Random 1   88  -0.0869  0.0088  0.0284  0.0250  0.0477  0.03
Random 2   87  -0.0273  0.0086  0.0287  0.0248  0.0573  0.03
Random 3   85  0.0074  0.0087  0.0381  0.0360  0.0378  0.03

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).