Rubinstein 1939

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   68  0.3615  0.0078  0.0463  0.0464  0.0475  0.04
Anderszewski 2003   20  0.4934  0.0020  0.1120  0.4636  0.3121  0.38
Ashkenazy 1981   56  0.3921  0.0076  0.0471  0.0466  0.0386  0.03
Bacha 2000   40  0.4452  0.0040  0.0740  0.187  0.5429  0.31
Badura 1965   70  0.3548  0.0055  0.0460  0.0437  0.1952  0.09
Barbosa 1983   11  0.5241  0.0016  0.1117  0.4943  0.1631  0.28
Biret 1990   22  0.4955  0.0024  0.0924  0.4242  0.1232  0.22
Blet 2003   83  0.2657  0.0084  0.0289  0.0285  0.0388  0.02
Block 1995   69  0.3573  0.0057  0.0467  0.0445  0.1357  0.07
Blumental 1952   47  0.4274  0.0049  0.0549  0.0548  0.0760  0.06
Boshniakovich 1969   16  0.5025  0.0017  0.0918  0.4933  0.2624  0.36
Brailowsky 1960   58  0.3838  0.0043  0.0544  0.0954  0.0656  0.07
Bunin 1987   49  0.4233  0.0064  0.0466  0.0445  0.1061  0.06
Bunin 1987b   53  0.3983  0.0070  0.0553  0.0562  0.0564  0.05
Chiu 1999   74  0.3371  0.0074  0.0378  0.0368  0.0479  0.03
Cohen 1997   76  0.3286  0.0073  0.0380  0.0352  0.0576  0.04
Cortot 1951   55  0.3961  0.0029  0.0839  0.188  0.6327  0.34
Csalog 1996   59  0.3875  0.0059  0.0375  0.0372  0.0482  0.03
Czerny 1949   4  0.628  0.014  0.453  0.7014  0.683  0.69
Czerny 1990   13  0.5158  0.0010  0.1615  0.5236  0.4315  0.47
Duchoud 2007   72  0.3431  0.0069  0.0470  0.0423  0.4542  0.13
Ezaki 2006   27  0.4849  0.0028  0.1026  0.3945  0.1133  0.21
Falvay 1989   42  0.4450  0.0060  0.0457  0.0477  0.0471  0.04
Farrell 1958   23  0.4959  0.008  0.178  0.5910  0.654  0.62
Ferenczy 1958   81  0.2976  0.0083  0.0288  0.0285  0.0389  0.02
Fliere 1977   21  0.4982  0.0027  0.1027  0.3865  0.0539  0.14
Fou 1978   24  0.4922  0.0018  0.1116  0.4919  0.4216  0.45
Francois 1956   78  0.3184  0.0071  0.0458  0.0453  0.0578  0.04
Friedman 1923   63  0.3845  0.0054  0.0554  0.0521  0.4638  0.15
Friedman 1923b   65  0.3862  0.0053  0.0551  0.0521  0.4437  0.15
Friedman 1930   85  0.2536  0.0080  0.0459  0.0477  0.0383  0.03
Garcia 2007   73  0.3419  0.0052  0.0462  0.0426  0.4143  0.13
Garcia 2007b   45  0.4353  0.0026  0.0828  0.3520  0.4719  0.41
Gierzod 1998   18  0.4987  0.0034  0.0634  0.3063  0.0447  0.11
Gornostaeva 1994   41  0.4465  0.0046  0.0646  0.0662  0.0468  0.05
Groot 1988   62  0.3820  0.0033  0.0738  0.2055  0.0549  0.10
Harasiewicz 1955   9  0.5316  0.0014  0.1510  0.5530  0.4513  0.50
Hatto 1993   28  0.4828  0.0022  0.1222  0.4334  0.2726  0.34
Hatto 1997   12  0.524  0.0212  0.1911  0.5424  0.4314  0.48
Horowitz 1949   84  0.266  0.0282  0.0286  0.0262  0.0581  0.03
Indjic 1988   19  0.4932  0.0021  0.1421  0.4531  0.3023  0.37
Kapell 1951   8  0.537  0.0213  0.1412  0.5425  0.5011  0.52
Kissin 1993   25  0.4844  0.0025  0.0925  0.4234  0.4018  0.41
Kushner 1989   6  0.5751  0.006  0.207  0.6221  0.4610  0.53
Luisada 1991   66  0.3737  0.0075  0.0469  0.0470  0.0469  0.04
Lushtak 2004   38  0.4539  0.0023  0.1023  0.4237  0.2825  0.34
Malcuzynski 1961   5  0.583  0.085  0.345  0.6712  0.585  0.62
Magaloff 1978   26  0.4813  0.0131  0.0831  0.3337  0.2530  0.29
Magin 1975   32  0.4788  0.0038  0.0835  0.2750  0.0544  0.12
Michalowski 1933   87  0.1763  0.0085  0.0285  0.0236  0.1566  0.05
Milkina 1970   7  0.5712  0.017  0.186  0.6425  0.4312  0.52
Mohovich 1999   17  0.4947  0.0019  0.0919  0.4732  0.3122  0.38
Moravec 1969   43  0.4323  0.0050  0.0552  0.0550  0.0858  0.06
Morozova 2008   14  0.5135  0.0015  0.1514  0.5212  0.569  0.54
Neighaus 1950   64  0.3811  0.0166  0.0372  0.0323  0.3748  0.11
Niedzielski 1931   88  0.1668  0.0088  0.0384  0.0381  0.0380  0.03
Ohlsson 1999   50  0.4130  0.0061  0.0556  0.0564  0.0472  0.04
Osinska 1989   34  0.4678  0.0036  0.0933  0.3259  0.0640  0.14
Pachmann 1927   54  0.3960  0.0058  0.0465  0.048  0.5836  0.15
Paderewski 1930   77  0.3164  0.0065  0.0381  0.0310  0.5146  0.12
Perlemuter 1992   80  0.3079  0.0086  0.0377  0.0354  0.0570  0.04
Pierdomenico 2008   67  0.3740  0.0072  0.0550  0.0534  0.3241  0.13
Poblocka 1999   29  0.4785  0.0035  0.0930  0.3347  0.1135  0.19
Rabcewiczowa 1932   15  0.5114  0.019  0.159  0.585  0.567  0.57
Rachmaninoff 1923   60  0.3818  0.0042  0.0641  0.1554  0.0550  0.09
Rangell 2001   10  0.5254  0.0011  0.2013  0.534  0.676  0.60
Richter 1976   35  0.4580  0.0045  0.0445  0.0942  0.1745  0.12
Rosen 1989   51  0.4142  0.0063  0.0374  0.0378  0.0385  0.03
Rosenthal 1930   86  0.2489  0.0087  0.0382  0.0379  0.0384  0.03
Rosenthal 1931   79  0.3190  0.0079  0.0379  0.0349  0.0573  0.04
Rosenthal 1931b   82  0.2872  0.0081  0.0383  0.0365  0.0487  0.03
Rosenthal 1931c   61  0.3824  0.0068  0.0461  0.0446  0.1062  0.06
Rosenthal 1931d   75  0.3326  0.0077  0.0376  0.0349  0.0677  0.04
Rossi 2007   71  0.3477  0.0056  0.0373  0.0335  0.2154  0.08
Rubinstein 1939   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1952   2  0.681  0.621  0.622  0.803  0.741  0.77
Rubinstein 1966   3  0.635  0.023  0.324  0.709  0.682  0.69
Schilhawsky 1960   36  0.4581  0.0037  0.0836  0.2629  0.3928  0.32
Shebanova 2002   52  0.4027  0.0067  0.0468  0.0475  0.0474  0.04
Smith 1975   48  0.4246  0.0051  0.0647  0.0652  0.0759  0.06
Sokolov 2002   44  0.4367  0.0044  0.0443  0.1027  0.4034  0.20
Sztompka 1959   30  0.479  0.0132  0.0832  0.3223  0.4820  0.39
Tomsic 1995   57  0.3943  0.0062  0.0555  0.0563  0.0565  0.05
Uninsky 1932   37  0.4517  0.0030  0.0729  0.3518  0.5717  0.45
Uninsky 1971   39  0.4556  0.0047  0.0548  0.0558  0.0567  0.05
Wasowski 1980   46  0.4366  0.0048  0.0464  0.0451  0.0663  0.05
Zak 1937   33  0.4629  0.0041  0.0642  0.1248  0.0655  0.08
Zak 1951   31  0.4710  0.0139  0.0837  0.2274  0.0451  0.09
Average   1  0.692  0.092  0.511  0.8231  0.398  0.57
Random 1   89  0.0369  0.0089  0.0287  0.0214  0.4053  0.09
Random 2   90  -0.0470  0.0091  0.0191  0.0174  0.0390  0.02
Random 3   91  -0.0891  0.0090  0.0190  0.0173  0.0391  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).