Rubinstein 1939

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   29  0.626  0.0145  0.0544  0.1062  0.0447  0.06
Anderszewski 2003   47  0.563  0.0518  0.0839  0.1470  0.0444  0.07
Ashkenazy 1981   45  0.574  0.0234  0.0448  0.0676  0.0369  0.04
Bacha 2000   30  0.6134  0.0033  0.0523  0.3039  0.1123  0.18
Badura 1965   79  0.4131  0.0082  0.0385  0.0377  0.0483  0.03
Barbosa 1983   34  0.6072  0.0031  0.0924  0.2920  0.2614  0.27
Biret 1990   23  0.6424  0.0030  0.0925  0.2962  0.0433  0.11
Blet 2003   28  0.6280  0.0024  0.0615  0.3741  0.1517  0.24
Block 1995   80  0.4062  0.0057  0.0383  0.0364  0.0484  0.03
Blumental 1952   9  0.7074  0.009  0.0920  0.3427  0.1815  0.25
Boshniakovich 1969   73  0.4444  0.0077  0.0479  0.0457  0.0568  0.04
Brailowsky 1960   39  0.5827  0.0042  0.0637  0.1635  0.2124  0.18
Bunin 1987   86  0.2681  0.0088  0.0480  0.0487  0.0285  0.03
Bunin 1987b   87  0.2589  0.0087  0.0387  0.0382  0.0288  0.02
Chiu 1999   31  0.6173  0.0044  0.0443  0.1079  0.0348  0.05
Cohen 1997   19  0.6520  0.015  0.129  0.434  0.494  0.46
Cortot 1951   56  0.5451  0.0067  0.0471  0.0476  0.0472  0.04
Csalog 1996   72  0.4566  0.0035  0.0434  0.1730  0.2621  0.21
Czerny 1949   64  0.4832  0.0075  0.0747  0.0785  0.0264  0.04
Czerny 1990   10  0.7056  0.0013  0.1119  0.3484  0.0339  0.10
Duchoud 2007   77  0.4213  0.0179  0.0478  0.0478  0.0382  0.03
Ezaki 2006   17  0.6622  0.0029  0.0631  0.2060  0.0440  0.09
Falvay 1989   42  0.5863  0.0037  0.0538  0.1532  0.3916  0.24
Farrell 1958   6  0.7346  0.003  0.187  0.5012  0.493  0.49
Ferenczy 1958   66  0.4891  0.0069  0.0476  0.0438  0.1046  0.06
Fliere 1977   20  0.6582  0.0026  0.0626  0.2548  0.0531  0.11
Fou 1978   22  0.6429  0.0022  0.0511  0.4172  0.0428  0.13
Francois 1956   59  0.5190  0.0058  0.0384  0.0377  0.0387  0.03
Friedman 1923   40  0.5819  0.0155  0.0472  0.0469  0.0474  0.04
Friedman 1923b   38  0.5916  0.0154  0.0469  0.0475  0.0470  0.04
Friedman 1930   46  0.5748  0.0064  0.0465  0.0477  0.0381  0.03
Garcia 2007   41  0.5869  0.0061  0.0745  0.0778  0.0350  0.05
Garcia 2007b   48  0.5643  0.0060  0.0649  0.0660  0.0552  0.05
Gierzod 1998   36  0.6018  0.0146  0.0461  0.0458  0.0565  0.04
Gornostaeva 1994   63  0.4826  0.0056  0.0477  0.0464  0.0471  0.04
Groot 1988   50  0.5653  0.0038  0.0540  0.1460  0.0543  0.08
Harasiewicz 1955   57  0.5359  0.0072  0.0559  0.0573  0.0473  0.04
Hatto 1993   15  0.6749  0.0019  0.0828  0.2348  0.0630  0.12
Hatto 1997   13  0.6745  0.0020  0.0529  0.2261  0.0538  0.10
Horowitz 1949   78  0.4270  0.0081  0.0386  0.0380  0.0477  0.03
Indjic 1988   14  0.6757  0.0021  0.0630  0.2263  0.0537  0.10
Kapell 1951   53  0.558  0.0140  0.0533  0.1851  0.0541  0.09
Kissin 1993   21  0.6584  0.0027  0.0714  0.3861  0.0429  0.12
Kushner 1989   33  0.6058  0.0047  0.0552  0.0553  0.0549  0.05
Luisada 1991   3  0.7510  0.014  0.144  0.5430  0.228  0.34
Lushtak 2004   5  0.7325  0.008  0.1113  0.3828  0.2111  0.28
Malcuzynski 1961   85  0.2867  0.0084  0.0464  0.0473  0.0376  0.03
Magaloff 1978   18  0.669  0.0116  0.1017  0.3612  0.396  0.37
Magin 1975   62  0.5037  0.0066  0.0650  0.0675  0.0358  0.04
Michalowski 1933   84  0.2985  0.0085  0.0381  0.0381  0.0380  0.03
Milkina 1970   24  0.6333  0.0014  0.096  0.5033  0.219  0.32
Mohovich 1999   12  0.6715  0.0110  0.118  0.4634  0.307  0.37
Moravec 1969   69  0.4786  0.0059  0.0557  0.0535  0.2035  0.10
Morozova 2008   16  0.6635  0.0028  0.0635  0.1775  0.0345  0.07
Neighaus 1950   58  0.5236  0.0068  0.0467  0.0452  0.0651  0.05
Niedzielski 1931   54  0.5438  0.0053  0.0462  0.0473  0.0375  0.03
Ohlsson 1999   55  0.5411  0.0165  0.0558  0.0577  0.0360  0.04
Osinska 1989   11  0.6817  0.016  0.093  0.5545  0.1312  0.27
Pachmann 1927   75  0.4347  0.0080  0.0388  0.0381  0.0289  0.02
Paderewski 1930   52  0.5587  0.0049  0.0560  0.0547  0.0459  0.04
Perlemuter 1992   26  0.6239  0.0039  0.0632  0.1950  0.0536  0.10
Pierdomenico 2008   82  0.3278  0.0083  0.0474  0.0466  0.0457  0.04
Poblocka 1999   74  0.4312  0.0174  0.0651  0.0680  0.0354  0.04
Rabcewiczowa 1932   32  0.6140  0.0023  0.0521  0.3148  0.0627  0.14
Rachmaninoff 1923   35  0.605  0.0248  0.0553  0.0565  0.0456  0.04
Rangell 2001   88  0.2561  0.0078  0.0475  0.0467  0.0386  0.03
Richter 1976   83  0.2968  0.0086  0.0473  0.0472  0.0378  0.03
Rosen 1989   27  0.6252  0.0025  0.0712  0.3878  0.0332  0.11
Rosenthal 1930   76  0.4255  0.0062  0.0554  0.0569  0.0366  0.04
Rosenthal 1931   67  0.4876  0.0043  0.0642  0.1221  0.3620  0.21
Rosenthal 1931b   65  0.4888  0.0051  0.0746  0.0721  0.3426  0.15
Rosenthal 1931c   61  0.5042  0.0032  0.0527  0.2517  0.3810  0.31
Rosenthal 1931d   68  0.4877  0.0050  0.0466  0.0422  0.3334  0.11
Rossi 2007   44  0.5879  0.0036  0.0441  0.1216  0.3918  0.22
Rubinstein 1939   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1952   2  0.782  0.352  0.572  0.641  0.672  0.65
Rubinstein 1966   1  0.851  0.351  0.351  0.681  0.671  0.67
Schilhawsky 1960   60  0.5054  0.0070  0.0555  0.0580  0.0362  0.04
Shebanova 2002   37  0.5914  0.0141  0.0636  0.1755  0.0542  0.09
Smith 1975   25  0.6360  0.0017  0.1110  0.4132  0.1813  0.27
Sokolov 2002   71  0.4771  0.0071  0.0556  0.0569  0.0355  0.04
Sztompka 1959   49  0.5630  0.0052  0.0468  0.0481  0.0379  0.03
Tomsic 1995   43  0.5841  0.0015  0.0922  0.307  0.575  0.41
Uninsky 1932   70  0.4721  0.0073  0.0470  0.0476  0.0463  0.04
Uninsky 1971   81  0.3964  0.0076  0.0382  0.0365  0.0561  0.04
Wasowski 1980   51  0.5665  0.0063  0.0463  0.0478  0.0453  0.04
Zak 1937   7  0.7228  0.0011  0.1116  0.3741  0.1319  0.22
Zak 1951   8  0.7123  0.0012  0.1018  0.3543  0.1222  0.20
Average   4  0.737  0.017  0.115  0.5152  0.0525  0.16
Random 1   90  -0.1850  0.0089  0.0289  0.0243  0.0967  0.04
Random 2   89  -0.1275  0.0091  0.0191  0.0171  0.0390  0.02
Random 3   91  -0.2383  0.0090  0.0190  0.0168  0.0491  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).