Rubinstein 1966

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   56  0.3928  0.0044  0.0545  0.0925  0.3751  0.18
Anderszewski 2003   5  0.573  0.023  0.303  0.781  0.861  0.82
Ashkenazy 1981   50  0.4047  0.0056  0.0664  0.0631  0.3261  0.14
Bacha 2000   53  0.4039  0.0052  0.0663  0.065  0.6647  0.20
Badura 1965   61  0.3851  0.0041  0.0543  0.1110  0.5441  0.24
Barbosa 1983   6  0.562  0.027  0.195  0.722  0.815  0.76
Biret 1990   59  0.3886  0.0059  0.0752  0.0724  0.4852  0.18
Blet 2003   78  0.2973  0.0079  0.0385  0.0361  0.0488  0.03
Block 1995   38  0.4350  0.0047  0.0750  0.0720  0.5049  0.19
Blumental 1952   42  0.4216  0.0033  0.0532  0.2320  0.5032  0.34
Boshniakovich 1969   40  0.4344  0.0022  0.1321  0.4518  0.5523  0.50
Brailowsky 1960   62  0.3841  0.0066  0.0848  0.0826  0.4050  0.18
Bunin 1987   81  0.2865  0.0077  0.0381  0.0362  0.0583  0.04
Bunin 1987b   84  0.2787  0.0081  0.0379  0.0370  0.0485  0.03
Chiu 1999   44  0.4253  0.0058  0.0753  0.0744  0.1268  0.09
Cohen 1997   52  0.4048  0.0039  0.0536  0.189  0.6333  0.34
Cortot 1951   77  0.3069  0.0070  0.0387  0.0334  0.2372  0.08
Csalog 1996   47  0.4145  0.0040  0.0541  0.127  0.5440  0.25
Czerny 1949   35  0.4415  0.0029  0.0627  0.3316  0.6925  0.48
Czerny 1990   14  0.5021  0.0017  0.1514  0.5914  0.7213  0.65
Duchoud 2007   65  0.3676  0.0068  0.0470  0.0429  0.3166  0.11
Ezaki 2006   24  0.4638  0.0027  0.0728  0.2814  0.5828  0.40
Falvay 1989   17  0.489  0.0118  0.1225  0.378  0.5027  0.43
Farrell 1958   39  0.4312  0.0020  0.1126  0.365  0.6324  0.48
Ferenczy 1958   66  0.3627  0.0063  0.0751  0.0714  0.7045  0.22
Fliere 1977   31  0.4577  0.0037  0.0631  0.2343  0.1748  0.20
Fou 1978   11  0.537  0.0110  0.2413  0.614  0.7211  0.66
Francois 1956   57  0.3974  0.0042  0.0542  0.1212  0.6837  0.29
Friedman 1923   74  0.3331  0.0078  0.0384  0.0347  0.0780  0.05
Friedman 1923b   76  0.3124  0.0080  0.0380  0.0359  0.0584  0.04
Friedman 1930   79  0.2978  0.0084  0.0382  0.0375  0.0489  0.03
Garcia 2007   48  0.4143  0.0043  0.0640  0.137  0.6436  0.29
Garcia 2007b   71  0.3455  0.0028  0.0738  0.1619  0.5138  0.29
Gierzod 1998   20  0.4825  0.0021  0.1318  0.5011  0.6218  0.56
Gornostaeva 1994   34  0.4432  0.0045  0.0546  0.0914  0.5646  0.22
Groot 1988   43  0.4262  0.0031  0.0637  0.1731  0.3442  0.24
Harasiewicz 1955   7  0.5658  0.008  0.187  0.723  0.6910  0.70
Hatto 1993   15  0.5040  0.0014  0.1716  0.5515  0.5419  0.54
Hatto 1997   13  0.5214  0.0012  0.1711  0.665  0.6712  0.66
Horowitz 1949   82  0.2781  0.0086  0.0377  0.0370  0.0486  0.03
Indjic 1988   18  0.4826  0.0016  0.1419  0.4919  0.5421  0.51
Kapell 1951   12  0.528  0.0113  0.2012  0.635  0.5914  0.61
Kissin 1993   16  0.4934  0.0015  0.1515  0.5617  0.6215  0.59
Kushner 1989   4  0.5718  0.005  0.198  0.717  0.699  0.70
Luisada 1991   54  0.3979  0.0061  0.0660  0.0639  0.1567  0.09
Lushtak 2004   8  0.5517  0.006  0.179  0.692  0.787  0.73
Malcuzynski 1961   33  0.4419  0.0026  0.1024  0.3819  0.5026  0.44
Magaloff 1978   51  0.4064  0.0054  0.0847  0.0830  0.2859  0.15
Magin 1975   55  0.3954  0.0057  0.0849  0.0831  0.3653  0.17
Michalowski 1933   88  0.2082  0.0088  0.0469  0.0460  0.0679  0.05
Milkina 1970   10  0.536  0.019  0.226  0.724  0.796  0.75
Mohovich 1999   3  0.5811  0.014  0.242  0.792  0.843  0.81
Moravec 1969   37  0.4460  0.0053  0.0757  0.0724  0.3358  0.15
Morozova 2008   23  0.4635  0.0035  0.0830  0.2323  0.4834  0.33
Neighaus 1950   45  0.4271  0.0050  0.0665  0.0615  0.4856  0.17
Niedzielski 1931   80  0.2963  0.0076  0.0373  0.0358  0.0582  0.04
Ohlsson 1999   41  0.4310  0.0151  0.0661  0.0633  0.2862  0.13
Osinska 1989   19  0.4833  0.0019  0.1417  0.5314  0.5917  0.56
Pachmann 1927   86  0.2656  0.0087  0.0372  0.0369  0.0487  0.03
Paderewski 1930   83  0.2772  0.0073  0.0468  0.0434  0.3564  0.12
Perlemuter 1992   64  0.3783  0.0067  0.0467  0.0439  0.1869  0.08
Pierdomenico 2008   69  0.3446  0.0072  0.0383  0.0331  0.2470  0.08
Poblocka 1999   29  0.4513  0.0034  0.0729  0.2715  0.5429  0.38
Rabcewiczowa 1932   32  0.4437  0.0023  0.1320  0.478  0.6816  0.57
Rachmaninoff 1923   70  0.3484  0.0064  0.0754  0.0752  0.0675  0.06
Rangell 2001   21  0.4720  0.0025  0.0823  0.434  0.6620  0.53
Richter 1976   28  0.4549  0.0049  0.0758  0.0729  0.4055  0.17
Rosen 1989   27  0.4552  0.0048  0.0666  0.0626  0.2963  0.13
Rosenthal 1930   73  0.3322  0.0083  0.0389  0.0345  0.1277  0.06
Rosenthal 1931   63  0.3842  0.0065  0.0755  0.0714  0.6944  0.22
Rosenthal 1931b   67  0.3575  0.0069  0.0471  0.0415  0.6257  0.16
Rosenthal 1931c   68  0.3580  0.0071  0.0378  0.0333  0.2473  0.08
Rosenthal 1931d   85  0.2657  0.0085  0.0375  0.0342  0.1378  0.06
Rossi 2007   87  0.2491  0.0082  0.0374  0.0321  0.3965  0.11
Rubinstein 1939   9  0.545  0.0211  0.2410  0.683  0.768  0.72
Rubinstein 1952   2  0.594  0.022  0.254  0.782  0.834  0.80
Rubinstein 1966   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Schilhawsky 1960   72  0.3461  0.0075  0.0376  0.0341  0.1376  0.06
Shebanova 2002   25  0.4689  0.0032  0.0633  0.2327  0.4435  0.32
Smith 1975   49  0.4159  0.0060  0.1044  0.1018  0.5143  0.23
Sokolov 2002   75  0.3266  0.0074  0.0386  0.0355  0.0581  0.04
Sztompka 1959   36  0.4467  0.0038  0.0539  0.1521  0.4839  0.27
Tomsic 1995   46  0.4129  0.0046  0.0662  0.0613  0.4754  0.17
Uninsky 1932   58  0.3868  0.0055  0.0659  0.0624  0.4060  0.15
Uninsky 1971   22  0.4770  0.0024  0.1122  0.439  0.5822  0.50
Wasowski 1980   60  0.3836  0.0062  0.0756  0.0762  0.0574  0.06
Zak 1937   30  0.4530  0.0036  0.0635  0.2112  0.5730  0.35
Zak 1951   26  0.4623  0.0030  0.0634  0.2310  0.5431  0.35
Average   1  0.701  0.801  0.791  0.913  0.732  0.82
Random 1   91  -0.0990  0.0091  0.0191  0.0190  0.0191  0.01
Random 2   89  0.0385  0.0089  0.0388  0.0332  0.2471  0.08
Random 3   90  -0.0988  0.0090  0.0190  0.0174  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).