Rubinstein 1952

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   28  0.5055  0.0042  0.0642  0.1357  0.0542  0.08
Anderszewski 2003   80  0.2251  0.0072  0.0375  0.0380  0.0371  0.03
Ashkenazy 1981   51  0.4127  0.0049  0.0561  0.0575  0.0366  0.04
Bacha 2000   29  0.5063  0.0028  0.0826  0.2619  0.4519  0.34
Badura 1965   67  0.3482  0.0056  0.0565  0.0566  0.0465  0.04
Barbosa 1983   45  0.4418  0.0136  0.0535  0.1859  0.0440  0.08
Biret 1990   43  0.4528  0.0044  0.0544  0.1264  0.0443  0.07
Blet 2003   47  0.4474  0.0058  0.0466  0.0473  0.0462  0.04
Block 1995   33  0.4843  0.0027  0.0932  0.1939  0.1527  0.17
Blumental 1952   77  0.2559  0.0074  0.0473  0.0482  0.0377  0.03
Boshniakovich 1969   23  0.5325  0.0025  0.0823  0.3931  0.2920  0.34
Brailowsky 1960   16  0.5658  0.0023  0.1122  0.3923  0.3716  0.38
Bunin 1987   66  0.3410  0.0369  0.0472  0.0489  0.0280  0.03
Bunin 1987b   65  0.3423  0.0070  0.0471  0.0479  0.0369  0.03
Chiu 1999   50  0.4164  0.0022  0.1024  0.3636  0.2023  0.27
Cohen 1997   36  0.4714  0.0113  0.1210  0.521  0.617  0.56
Cortot 1951   72  0.2765  0.0079  0.0376  0.0386  0.0288  0.02
Csalog 1996   9  0.637  0.055  0.166  0.591  0.624  0.60
Czerny 1949   60  0.3754  0.0067  0.0563  0.0580  0.0364  0.04
Czerny 1990   42  0.4576  0.0059  0.0656  0.0682  0.0367  0.04
Duchoud 2007   63  0.3537  0.0068  0.0470  0.0484  0.0375  0.03
Ezaki 2006   37  0.4777  0.0057  0.0562  0.0564  0.0458  0.04
Falvay 1989   4  0.6650  0.007  0.194  0.6010  0.498  0.54
Farrell 1958   56  0.3952  0.0063  0.0749  0.0769  0.0353  0.05
Ferenczy 1958   68  0.3381  0.0078  0.0380  0.0382  0.0373  0.03
Fliere 1977   18  0.5561  0.0021  0.1219  0.4361  0.0530  0.15
Fou 1978   7  0.633  0.132  0.205  0.596  0.546  0.56
Francois 1956   20  0.5522  0.0130  0.0631  0.2143  0.1328  0.17
Friedman 1923   91  -0.2087  0.0091  0.0191  0.0190  0.0191  0.01
Friedman 1923b   90  -0.1988  0.0090  0.0290  0.0290  0.0190  0.01
Friedman 1930   87  -0.0153  0.0086  0.0287  0.0287  0.0285  0.02
Garcia 2007   83  0.1483  0.0080  0.0381  0.0387  0.0287  0.02
Garcia 2007b   85  0.0478  0.0085  0.0289  0.0289  0.0289  0.02
Gierzod 1998   46  0.4470  0.0050  0.0846  0.0853  0.0547  0.06
Gornostaeva 1994   25  0.5216  0.0126  0.0925  0.3140  0.1624  0.22
Groot 1988   5  0.654  0.098  0.129  0.5222  0.3713  0.44
Harasiewicz 1955   59  0.379  0.0334  0.0539  0.1464  0.0444  0.07
Hatto 1993   79  0.2379  0.0047  0.0751  0.0748  0.0548  0.06
Hatto 1997   73  0.2717  0.0129  0.0738  0.1657  0.0441  0.08
Horowitz 1949   31  0.4932  0.0035  0.0529  0.2449  0.0535  0.11
Indjic 1988   76  0.2584  0.0032  0.0640  0.1347  0.0636  0.09
Kapell 1951   52  0.4131  0.0066  0.0469  0.0465  0.0461  0.04
Kissin 1993   3  0.6813  0.026  0.203  0.628  0.583  0.60
Kushner 1989   39  0.4689  0.0054  0.0654  0.0684  0.0360  0.04
Luisada 1991   35  0.4740  0.0024  0.0728  0.2458  0.0534  0.11
Lushtak 2004   44  0.4411  0.0231  0.0633  0.1939  0.1626  0.17
Malcuzynski 1961   21  0.5424  0.0043  0.0641  0.1382  0.0346  0.06
Magaloff 1978   12  0.608  0.0311  0.1112  0.4936  0.1722  0.29
Magin 1975   53  0.4126  0.0046  0.0752  0.0760  0.0452  0.05
Michalowski 1933   84  0.0856  0.0084  0.0379  0.0388  0.0283  0.02
Milkina 1970   1  0.702  0.143  0.192  0.633  0.612  0.62
Mohovich 1999   11  0.6171  0.0020  0.1120  0.4223  0.3318  0.37
Moravec 1969   22  0.5319  0.0139  0.0734  0.1833  0.1725  0.17
Morozova 2008   61  0.3666  0.0055  0.0560  0.0585  0.0272  0.03
Neighaus 1950   32  0.4838  0.0040  0.0537  0.1664  0.0538  0.09
Niedzielski 1931   54  0.4057  0.0064  0.0848  0.0867  0.0351  0.05
Ohlsson 1999   24  0.536  0.0616  0.1221  0.4129  0.2321  0.31
Osinska 1989   13  0.5812  0.0212  0.1011  0.5114  0.4311  0.47
Pachmann 1927   15  0.5649  0.0015  0.1418  0.4410  0.5810  0.51
Paderewski 1930   30  0.5047  0.0053  0.0750  0.0762  0.0354  0.05
Perlemuter 1992   34  0.4741  0.0033  0.0536  0.1838  0.1429  0.16
Pierdomenico 2008   49  0.4248  0.0037  0.0530  0.2346  0.0632  0.12
Poblocka 1999   27  0.5042  0.0052  0.0847  0.0873  0.0445  0.06
Rabcewiczowa 1932   62  0.3639  0.0065  0.0655  0.0673  0.0359  0.04
Rachmaninoff 1923   81  0.2290  0.0082  0.0284  0.0285  0.0382  0.02
Rangell 2001   19  0.5567  0.0014  0.1315  0.4610  0.4412  0.45
Richter 1976   41  0.4646  0.0041  0.0543  0.1252  0.0539  0.08
Rosen 1989   40  0.4644  0.0038  0.0727  0.2572  0.0337  0.09
Rosenthal 1930   70  0.3036  0.0075  0.0474  0.0485  0.0276  0.03
Rosenthal 1931   74  0.2785  0.0062  0.0657  0.0651  0.0555  0.05
Rosenthal 1931b   75  0.2791  0.0061  0.0564  0.0551  0.0556  0.05
Rosenthal 1931c   57  0.3872  0.0060  0.0658  0.0661  0.0457  0.05
Rosenthal 1931d   55  0.3960  0.0045  0.0645  0.1133  0.1631  0.13
Rossi 2007   82  0.1535  0.0083  0.0383  0.0376  0.0281  0.02
Rubinstein 1939   26  0.511  0.161  0.168  0.522  0.615  0.56
Rubinstein 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1966   2  0.6820  0.014  0.151  0.633  0.671  0.65
Schilhawsky 1960   69  0.3045  0.0073  0.0467  0.0465  0.0463  0.04
Shebanova 2002   10  0.6129  0.009  0.137  0.5513  0.499  0.52
Smith 1975   38  0.4734  0.0051  0.0753  0.0753  0.0450  0.05
Sokolov 2002   58  0.3821  0.0171  0.0468  0.0480  0.0368  0.03
Sztompka 1959   71  0.2933  0.0076  0.0377  0.0381  0.0370  0.03
Tomsic 1995   8  0.635  0.0710  0.1713  0.4723  0.2917  0.37
Uninsky 1932   78  0.2468  0.0081  0.0286  0.0283  0.0286  0.02
Uninsky 1971   64  0.3480  0.0077  0.0378  0.0387  0.0284  0.02
Wasowski 1980   48  0.4230  0.0048  0.0659  0.0654  0.0549  0.05
Zak 1937   14  0.5686  0.0017  0.1114  0.4725  0.3514  0.41
Zak 1951   17  0.5562  0.0018  0.1417  0.4627  0.3315  0.39
Average   6  0.6315  0.0119  0.0916  0.4677  0.0333  0.12
Random 1   89  -0.0869  0.0089  0.0285  0.0251  0.0478  0.03
Random 2   88  -0.0273  0.0087  0.0288  0.0260  0.0474  0.03
Random 3   86  0.0075  0.0088  0.0382  0.0362  0.0379  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).