Rubinstein 1939

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   51  0.3327  0.0055  0.0552  0.0557  0.0564  0.05
Anderszewski 2003   11  0.4425  0.0013  0.1310  0.5514  0.597  0.57
Ashkenazy 1981   35  0.3557  0.0051  0.0550  0.0551  0.0757  0.06
Bacha 2000   44  0.3445  0.0037  0.0534  0.1617  0.4727  0.27
Badura 1965   65  0.3047  0.0056  0.0548  0.0546  0.0755  0.06
Barbosa 1983   20  0.4040  0.0030  0.0730  0.2255  0.0642  0.11
Biret 1990   13  0.4337  0.0019  0.1017  0.4613  0.6110  0.53
Blet 2003   82  0.2216  0.0087  0.0373  0.0383  0.0383  0.03
Block 1995   67  0.2888  0.0061  0.0466  0.0469  0.0473  0.04
Blumental 1952   27  0.3721  0.0033  0.0631  0.2142  0.1433  0.17
Boshniakovich 1969   76  0.2475  0.0066  0.0464  0.0480  0.0474  0.04
Brailowsky 1960   31  0.3641  0.0042  0.0542  0.0934  0.2237  0.14
Bunin 1987   54  0.3350  0.0063  0.0461  0.0447  0.0765  0.05
Bunin 1987b   61  0.3133  0.0064  0.0547  0.0555  0.0559  0.05
Chiu 1999   39  0.3544  0.0062  0.0460  0.0460  0.0567  0.04
Cohen 1997   47  0.3432  0.0053  0.0551  0.0525  0.4934  0.16
Cortot 1951   42  0.3462  0.0028  0.0829  0.2313  0.5720  0.36
Csalog 1996   36  0.3535  0.0050  0.0546  0.0538  0.1348  0.08
Czerny 1949   3  0.525  0.044  0.503  0.722  0.842  0.78
Czerny 1990   22  0.396  0.026  0.1419  0.4533  0.4116  0.43
Duchoud 2007   37  0.3543  0.0041  0.0539  0.1119  0.4230  0.21
Ezaki 2006   28  0.3789  0.0036  0.0533  0.1745  0.1039  0.13
Falvay 1989   9  0.458  0.017  0.1111  0.5410  0.4612  0.50
Farrell 1958   10  0.4417  0.0010  0.185  0.602  0.675  0.63
Ferenczy 1958   73  0.2648  0.0076  0.0372  0.0354  0.0672  0.04
Fliere 1977   33  0.3674  0.0034  0.0635  0.1572  0.0446  0.08
Fou 1978   16  0.4231  0.0012  0.1713  0.5223  0.4313  0.47
Francois 1956   60  0.3252  0.0059  0.0459  0.0424  0.3841  0.12
Friedman 1923   78  0.2390  0.0082  0.0376  0.0373  0.0489  0.03
Friedman 1923b   80  0.2372  0.0081  0.0288  0.0256  0.0588  0.03
Friedman 1930   85  0.209  0.0183  0.0284  0.0273  0.0484  0.03
Garcia 2007   86  0.2087  0.0074  0.0382  0.0368  0.0486  0.03
Garcia 2007b   72  0.2636  0.0060  0.0468  0.0471  0.0477  0.04
Gierzod 1998   45  0.3455  0.0039  0.0536  0.1546  0.0843  0.11
Gornostaeva 1994   18  0.4238  0.0017  0.1020  0.4220  0.5114  0.46
Groot 1988   52  0.3312  0.0132  0.0532  0.1864  0.0449  0.08
Harasiewicz 1955   7  0.4610  0.0111  0.237  0.5929  0.3515  0.45
Hatto 1993   17  0.4218  0.0020  0.1015  0.4733  0.2022  0.31
Hatto 1997   5  0.474  0.065  0.286  0.6011  0.566  0.58
Horowitz 1949   79  0.2328  0.0085  0.0286  0.0264  0.0482  0.03
Indjic 1988   19  0.4276  0.0021  0.1216  0.4633  0.2818  0.36
Kapell 1951   21  0.3929  0.0016  0.1121  0.4135  0.2124  0.29
Kissin 1993   55  0.3365  0.0038  0.0637  0.1539  0.2831  0.20
Kushner 1989   14  0.4320  0.008  0.1412  0.5234  0.2617  0.37
Luisada 1991   50  0.3361  0.0068  0.0549  0.0563  0.0658  0.05
Lushtak 2004   57  0.3273  0.0044  0.0444  0.0850  0.0556  0.06
Malcuzynski 1961   24  0.3849  0.0022  0.1118  0.4638  0.2023  0.30
Magaloff 1978   46  0.3468  0.0035  0.0538  0.1358  0.0547  0.08
Magin 1975   40  0.3577  0.0048  0.0465  0.0469  0.0468  0.04
Michalowski 1933   83  0.2156  0.0075  0.0379  0.0357  0.0671  0.04
Milkina 1970   1  0.551  0.311  0.301  0.782  0.801  0.79
Mohovich 1999   49  0.3381  0.0045  0.0463  0.0449  0.0575  0.04
Moravec 1969   8  0.4511  0.0114  0.159  0.567  0.549  0.55
Morozova 2008   6  0.4715  0.009  0.148  0.587  0.568  0.57
Neighaus 1950   58  0.3283  0.0052  0.0458  0.0456  0.0576  0.04
Niedzielski 1931   75  0.2563  0.0070  0.0371  0.0368  0.0480  0.03
Ohlsson 1999   15  0.437  0.0123  0.1022  0.3928  0.3021  0.34
Osinska 1989   25  0.3870  0.0026  0.0723  0.3847  0.0635  0.15
Pachmann 1927   74  0.2564  0.0077  0.0374  0.0353  0.0762  0.05
Paderewski 1930   84  0.2086  0.0084  0.0381  0.0358  0.0570  0.04
Perlemuter 1992   77  0.2460  0.0086  0.0378  0.0385  0.0378  0.03
Pierdomenico 2008   81  0.2353  0.0079  0.0380  0.0357  0.0479  0.03
Poblocka 1999   48  0.3458  0.0058  0.0469  0.0459  0.0566  0.04
Rabcewiczowa 1932   23  0.3942  0.0015  0.1114  0.4918  0.5411  0.51
Rachmaninoff 1923   32  0.3623  0.0025  0.0828  0.2434  0.2528  0.24
Rangell 2001   41  0.3578  0.0027  0.0826  0.2927  0.4519  0.36
Richter 1976   30  0.3669  0.0049  0.0554  0.0555  0.0661  0.05
Rosen 1989   56  0.3230  0.0067  0.0456  0.0482  0.0387  0.03
Rosenthal 1930   62  0.3154  0.0031  0.0640  0.1039  0.2436  0.15
Rosenthal 1931   59  0.3219  0.0057  0.0467  0.0430  0.4040  0.13
Rosenthal 1931b   70  0.2746  0.0071  0.0370  0.0342  0.1552  0.07
Rosenthal 1931c   53  0.3313  0.0154  0.0455  0.0435  0.2145  0.09
Rosenthal 1931d   69  0.2834  0.0069  0.0645  0.0623  0.3438  0.14
Rossi 2007   87  0.1879  0.0080  0.0285  0.0243  0.1653  0.06
Rubinstein 1939   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1952   4  0.512  0.242  0.284  0.674  0.694  0.68
Rubinstein 1966   2  0.543  0.203  0.392  0.769  0.683  0.72
Schilhawsky 1960   66  0.2826  0.0073  0.0375  0.0343  0.1063  0.05
Shebanova 2002   64  0.3067  0.0065  0.0553  0.0552  0.0754  0.06
Smith 1975   29  0.3680  0.0047  0.0462  0.0442  0.1350  0.07
Sokolov 2002   43  0.3466  0.0040  0.0441  0.1032  0.3432  0.18
Sztompka 1959   38  0.3524  0.0043  0.0443  0.0850  0.0651  0.07
Tomsic 1995   63  0.3184  0.0046  0.0457  0.0450  0.0760  0.05
Uninsky 1932   34  0.3514  0.0018  0.0825  0.3030  0.2626  0.28
Uninsky 1971   12  0.4322  0.0024  0.1424  0.3735  0.2325  0.29
Wasowski 1980   26  0.3759  0.0029  0.0727  0.2637  0.1829  0.22
Zak 1937   71  0.2639  0.0078  0.0383  0.0364  0.0569  0.04
Zak 1951   68  0.2851  0.0072  0.0377  0.0376  0.0481  0.03
Random 1   88  0.0471  0.0088  0.0287  0.029  0.4744  0.10
Random 2   89  0.0282  0.0089  0.0289  0.0250  0.0585  0.03
Random 3   90  -0.0785  0.0090  0.0190  0.0166  0.0390  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).