Rubinstein 1939

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   36  0.4323  0.0056  0.0462  0.0486  0.0273  0.03
Anderszewski 2003   43  0.4219  0.0147  0.0745  0.0769  0.0347  0.05
Ashkenazy 1981   47  0.4121  0.0059  0.0474  0.0488  0.0278  0.03
Bacha 2000   18  0.4945  0.0015  0.0618  0.3557  0.0517  0.13
Badura 1965   78  0.2618  0.0170  0.0381  0.0380  0.0377  0.03
Barbosa 1983   31  0.4526  0.0026  0.0632  0.2757  0.0521  0.12
Biret 1990   12  0.5458  0.0022  0.1317  0.3577  0.0424  0.12
Blet 2003   20  0.4856  0.0034  0.0633  0.2468  0.0335  0.08
Block 1995   81  0.2478  0.0054  0.0554  0.0564  0.0459  0.04
Blumental 1952   21  0.4869  0.0023  0.0824  0.3085  0.0236  0.08
Boshniakovich 1969   58  0.3757  0.0053  0.0555  0.0578  0.0360  0.04
Brailowsky 1960   10  0.5533  0.008  0.147  0.4332  0.255  0.33
Bunin 1987   74  0.2939  0.0081  0.0469  0.0487  0.0279  0.03
Bunin 1987b   75  0.2838  0.0080  0.0377  0.0386  0.0286  0.02
Chiu 1999   32  0.4567  0.0025  0.0730  0.2863  0.0427  0.11
Cohen 1997   16  0.515  0.023  0.216  0.465  0.493  0.47
Cortot 1951   66  0.3586  0.0075  0.0475  0.0487  0.0282  0.03
Csalog 1996   37  0.4364  0.007  0.1116  0.3626  0.276  0.31
Czerny 1949   70  0.3353  0.0073  0.0378  0.0382  0.0371  0.03
Czerny 1990   28  0.4682  0.0042  0.0642  0.1370  0.0442  0.07
Duchoud 2007   54  0.3855  0.0068  0.0461  0.0487  0.0274  0.03
Ezaki 2006   40  0.4340  0.0058  0.0376  0.0381  0.0363  0.03
Falvay 1989   26  0.4744  0.0016  0.0829  0.2950  0.0716  0.14
Farrell 1958   3  0.6143  0.009  0.1811  0.3966  0.0419  0.12
Ferenczy 1958   60  0.3737  0.0069  0.0465  0.0440  0.0845  0.06
Fliere 1977   11  0.5470  0.0017  0.078  0.4273  0.0325  0.11
Fou 1978   13  0.5424  0.005  0.144  0.5042  0.117  0.23
Francois 1956   63  0.3651  0.0062  0.0464  0.0478  0.0384  0.03
Friedman 1923   86  0.1988  0.0087  0.0383  0.0381  0.0385  0.03
Friedman 1923b   85  0.1989  0.0086  0.0385  0.0382  0.0380  0.03
Friedman 1930   83  0.2266  0.0083  0.0287  0.0284  0.0388  0.02
Garcia 2007   64  0.3675  0.0065  0.0472  0.0487  0.0375  0.03
Garcia 2007b   59  0.3772  0.0032  0.0534  0.2361  0.0431  0.10
Gierzod 1998   30  0.4527  0.0044  0.0644  0.1171  0.0441  0.07
Gornostaeva 1994   56  0.3862  0.0048  0.0550  0.0572  0.0361  0.04
Groot 1988   34  0.4311  0.0138  0.0635  0.1978  0.0337  0.08
Harasiewicz 1955   76  0.2850  0.0071  0.0386  0.0358  0.0483  0.03
Hatto 1993   9  0.5636  0.0019  0.1014  0.3642  0.1010  0.19
Hatto 1997   6  0.583  0.0720  0.1428  0.2944  0.0915  0.16
Horowitz 1949   55  0.3828  0.0064  0.0557  0.0562  0.0456  0.04
Indjic 1988   5  0.5815  0.0118  0.0615  0.3643  0.0912  0.18
Kapell 1951   41  0.427  0.0213  0.0641  0.1687  0.0244  0.06
Kissin 1993   35  0.4335  0.0036  0.0531  0.2765  0.0430  0.10
Kushner 1989   29  0.4652  0.0046  0.0647  0.0675  0.0355  0.04
Luisada 1991   4  0.6013  0.016  0.125  0.4746  0.0614  0.17
Lushtak 2004   19  0.4947  0.0024  0.0919  0.3365  0.0429  0.11
Malcuzynski 1961   77  0.2746  0.0079  0.0470  0.0476  0.0368  0.03
Magaloff 1978   25  0.4741  0.0028  0.0921  0.3170  0.0428  0.11
Magin 1975   62  0.376  0.0249  0.0649  0.0671  0.0354  0.04
Michalowski 1933   87  0.0990  0.0085  0.0382  0.0387  0.0287  0.02
Milkina 1970   7  0.574  0.034  0.233  0.5933  0.204  0.34
Mohovich 1999   22  0.4848  0.0033  0.0623  0.3060  0.0523  0.12
Moravec 1969   44  0.4125  0.0039  0.0637  0.1879  0.0338  0.07
Morozova 2008   14  0.5310  0.0121  0.1127  0.3081  0.0334  0.09
Neighaus 1950   53  0.3871  0.0063  0.0467  0.0484  0.0381  0.03
Niedzielski 1931   50  0.4012  0.0151  0.0552  0.0584  0.0353  0.04
Ohlsson 1999   23  0.488  0.0135  0.0740  0.1782  0.0340  0.07
Osinska 1989   17  0.4954  0.0010  0.1110  0.3979  0.0326  0.11
Pachmann 1927   51  0.3973  0.0040  0.0639  0.1757  0.0533  0.09
Paderewski 1930   57  0.3876  0.0052  0.0551  0.0558  0.0457  0.04
Perlemuter 1992   52  0.3920  0.0161  0.0556  0.0561  0.0450  0.04
Pierdomenico 2008   73  0.2963  0.0067  0.0460  0.0477  0.0366  0.03
Poblocka 1999   61  0.379  0.0155  0.0558  0.0572  0.0451  0.04
Rabcewiczowa 1932   65  0.3668  0.0060  0.0459  0.0476  0.0367  0.03
Rachmaninoff 1923   45  0.4117  0.0157  0.0468  0.0481  0.0365  0.03
Rangell 2001   72  0.3034  0.0050  0.0646  0.0676  0.0362  0.04
Richter 1976   79  0.2622  0.0078  0.0473  0.0441  0.1239  0.07
Rosen 1989   48  0.4131  0.0045  0.0648  0.0664  0.0448  0.05
Rosenthal 1930   68  0.3549  0.0066  0.0463  0.0467  0.0376  0.03
Rosenthal 1931   38  0.4381  0.0030  0.0520  0.3239  0.139  0.20
Rosenthal 1931b   42  0.4284  0.0031  0.0822  0.3137  0.1013  0.18
Rosenthal 1931c   49  0.4060  0.0041  0.0836  0.1864  0.0343  0.07
Rosenthal 1931d   33  0.4474  0.0027  0.0626  0.3036  0.158  0.21
Rossi 2007   84  0.2080  0.0076  0.0466  0.0462  0.0452  0.04
Rubinstein 1939   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1952   2  0.671  0.361  0.352  0.636  0.602  0.61
Rubinstein 1966   1  0.762  0.302  0.441  0.658  0.601  0.62
Schilhawsky 1960   71  0.3283  0.0074  0.0379  0.0388  0.0370  0.03
Shebanova 2002   27  0.4716  0.0112  0.1013  0.3670  0.0422  0.12
Smith 1975   46  0.4142  0.0043  0.0543  0.1288  0.0246  0.05
Sokolov 2002   67  0.3579  0.0072  0.0384  0.0369  0.0364  0.03
Sztompka 1959   69  0.3432  0.0077  0.0553  0.0582  0.0358  0.04
Tomsic 1995   39  0.4330  0.0037  0.0538  0.1848  0.0532  0.09
Uninsky 1932   82  0.2377  0.0084  0.0380  0.0385  0.0289  0.02
Uninsky 1971   80  0.2459  0.0082  0.0471  0.0482  0.0369  0.03
Wasowski 1980   24  0.4814  0.0129  0.0625  0.3056  0.0518  0.12
Zak 1937   8  0.5729  0.0011  0.099  0.4045  0.0811  0.18
Zak 1951   15  0.5265  0.0014  0.0612  0.3770  0.0420  0.12
Random 1   89  -0.1187  0.0088  0.0189  0.0136  0.2349  0.05
Random 2   88  -0.0861  0.0089  0.0288  0.0247  0.0572  0.03
Random 3   90  -0.1385  0.0090  0.0190  0.0188  0.0190  0.01

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).