Rubinstein 1952

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   67  0.3135  0.0062  0.0459  0.0452  0.0579  0.04
Anderszewski 2003   52  0.3759  0.0040  0.0842  0.2128  0.4138  0.29
Ashkenazy 1981   49  0.3845  0.0054  0.0946  0.0950  0.0858  0.08
Bacha 2000   66  0.3184  0.0068  0.0375  0.0332  0.2257  0.08
Badura 1965   84  0.2385  0.0076  0.0383  0.0374  0.0387  0.03
Barbosa 1983   33  0.4155  0.0028  0.0728  0.4727  0.3633  0.41
Biret 1990   41  0.4070  0.0034  0.1035  0.3422  0.5432  0.43
Blet 2003   65  0.3171  0.0063  0.0464  0.0447  0.0668  0.05
Block 1995   28  0.4313  0.0124  0.0815  0.5514  0.5618  0.55
Blumental 1952   56  0.3637  0.0058  0.0557  0.0546  0.0865  0.06
Boshniakovich 1969   39  0.4140  0.0038  0.1337  0.2839  0.2142  0.24
Brailowsky 1960   69  0.3048  0.0073  0.0381  0.0348  0.0766  0.05
Bunin 1987   74  0.2876  0.0067  0.0374  0.0365  0.0488  0.03
Bunin 1987b   79  0.2779  0.0081  0.0465  0.0457  0.0574  0.04
Chiu 1999   58  0.3356  0.0071  0.0471  0.0459  0.0572  0.04
Cohen 1997   46  0.3920  0.0043  0.0843  0.2110  0.6235  0.36
Cortot 1951   82  0.2649  0.0060  0.0466  0.0424  0.3849  0.12
Csalog 1996   53  0.3736  0.0056  0.0850  0.0859  0.0562  0.06
Czerny 1949   37  0.4125  0.0012  0.1323  0.5215  0.7012  0.60
Czerny 1990   13  0.4644  0.0022  0.0814  0.5623  0.5916  0.57
Duchoud 2007   63  0.3263  0.0070  0.0462  0.0444  0.0963  0.06
Ezaki 2006   45  0.4072  0.0044  0.0944  0.2041  0.2743  0.23
Falvay 1989   19  0.4526  0.0019  0.0725  0.4917  0.4229  0.45
Farrell 1958   60  0.3224  0.0031  0.0739  0.2718  0.4336  0.34
Ferenczy 1958   88  0.1766  0.0088  0.0467  0.0471  0.0478  0.04
Fliere 1977   11  0.4633  0.0023  0.0918  0.5445  0.1637  0.29
Fou 1978   40  0.4027  0.0035  0.0832  0.4026  0.3834  0.39
Francois 1956   35  0.4134  0.0025  0.0627  0.476  0.7613  0.60
Friedman 1923   68  0.3143  0.0074  0.0386  0.0348  0.0771  0.05
Friedman 1923b   73  0.2931  0.0075  0.0379  0.0368  0.0489  0.03
Friedman 1930   59  0.3350  0.0059  0.0461  0.0454  0.0669  0.05
Garcia 2007   81  0.2777  0.0069  0.0376  0.0346  0.0770  0.05
Garcia 2007b   64  0.3241  0.0064  0.0373  0.0367  0.0582  0.04
Gierzod 1998   47  0.3961  0.0030  0.0736  0.3037  0.2241  0.26
Gornostaeva 1994   30  0.4246  0.0029  0.0830  0.4516  0.5526  0.50
Groot 1988   12  0.468  0.0114  0.1211  0.6012  0.5417  0.57
Harasiewicz 1955   5  0.5121  0.006  0.224  0.736  0.627  0.67
Hatto 1993   26  0.4373  0.0020  0.0716  0.5524  0.4028  0.47
Hatto 1997   14  0.4628  0.007  0.218  0.667  0.6110  0.63
Horowitz 1949   75  0.2847  0.0086  0.0380  0.0372  0.0384  0.03
Indjic 1988   25  0.4469  0.0021  0.0817  0.5422  0.5021  0.52
Kapell 1951   7  0.5019  0.008  0.186  0.674  0.619  0.64
Kissin 1993   21  0.4532  0.0036  0.0933  0.4021  0.5727  0.48
Kushner 1989   8  0.4822  0.0018  0.1012  0.5921  0.4519  0.52
Luisada 1991   44  0.4068  0.0051  0.0655  0.0640  0.1455  0.09
Lushtak 2004   36  0.4123  0.0016  0.1129  0.4615  0.5425  0.50
Malcuzynski 1961   27  0.4365  0.0017  0.1122  0.5220  0.4923  0.50
Magaloff 1978   9  0.486  0.0213  0.1219  0.538  0.6115  0.57
Magin 1975   3  0.552  0.165  0.337  0.674  0.733  0.70
Michalowski 1933   83  0.2574  0.0078  0.0384  0.0369  0.0576  0.04
Milkina 1970   15  0.4617  0.0010  0.159  0.6510  0.695  0.67
Mohovich 1999   10  0.475  0.029  0.2213  0.5815  0.5914  0.58
Moravec 1969   42  0.4012  0.0155  0.0847  0.0853  0.0659  0.07
Morozova 2008   54  0.3678  0.0045  0.0845  0.1638  0.2544  0.20
Neighaus 1950   50  0.3890  0.0049  0.0654  0.0631  0.2947  0.13
Niedzielski 1931   78  0.2788  0.0082  0.0460  0.0465  0.0473  0.04
Ohlsson 1999   18  0.4553  0.0027  0.1024  0.528  0.5320  0.52
Osinska 1989   4  0.5310  0.014  0.333  0.766  0.722  0.74
Pachmann 1927   72  0.2958  0.0080  0.0385  0.0356  0.0675  0.04
Paderewski 1930   80  0.2780  0.0077  0.0288  0.0254  0.0685  0.03
Perlemuter 1992   32  0.429  0.0148  0.0751  0.0723  0.4045  0.17
Pierdomenico 2008   62  0.3262  0.0061  0.0463  0.0430  0.2950  0.11
Poblocka 1999   20  0.4511  0.0132  0.0826  0.4918  0.5222  0.50
Rabcewiczowa 1932   29  0.4330  0.0011  0.1610  0.607  0.698  0.64
Rachmaninoff 1923   76  0.2767  0.0079  0.0378  0.0364  0.0483  0.03
Rangell 2001   61  0.3242  0.0057  0.0558  0.0543  0.1756  0.09
Richter 1976   24  0.4414  0.0037  0.0938  0.2835  0.2840  0.28
Rosen 1989   43  0.4039  0.0046  0.0849  0.0851  0.0564  0.06
Rosenthal 1930   77  0.2781  0.0084  0.0377  0.0363  0.0580  0.04
Rosenthal 1931   86  0.2283  0.0085  0.0382  0.0350  0.0767  0.05
Rosenthal 1931b   87  0.2091  0.0087  0.0472  0.0468  0.0390  0.03
Rosenthal 1931c   70  0.3086  0.0065  0.0468  0.0427  0.3252  0.11
Rosenthal 1931d   85  0.2251  0.0083  0.0387  0.0360  0.0581  0.04
Rossi 2007   71  0.3057  0.0066  0.0469  0.049  0.5746  0.15
Rubinstein 1939   6  0.513  0.073  0.295  0.695  0.674  0.68
Rubinstein 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1966   2  0.594  0.032  0.462  0.834  0.781  0.80
Schilhawsky 1960   57  0.3364  0.0072  0.0470  0.0457  0.0577  0.04
Shebanova 2002   31  0.4229  0.0041  0.0640  0.2176  0.0554  0.10
Smith 1975   22  0.447  0.0139  0.1334  0.3413  0.5831  0.44
Sokolov 2002   17  0.4518  0.0015  0.1121  0.532  0.7311  0.62
Sztompka 1959   16  0.4560  0.0033  0.0831  0.4323  0.4730  0.45
Tomsic 1995   34  0.4115  0.0042  0.0641  0.2124  0.3739  0.28
Uninsky 1932   55  0.3654  0.0053  0.0848  0.0840  0.1451  0.11
Uninsky 1971   23  0.4438  0.0026  0.0720  0.5319  0.4824  0.50
Wasowski 1980   38  0.4116  0.0047  0.0752  0.0760  0.0561  0.06
Zak 1937   51  0.3775  0.0052  0.0656  0.0638  0.1853  0.10
Zak 1951   48  0.3852  0.0050  0.0653  0.0629  0.2448  0.12
Average   1  0.631  0.571  0.571  0.8817  0.516  0.67
Random 1   91  -0.0889  0.0091  0.0191  0.0174  0.0291  0.01
Random 2   89  0.0087  0.0089  0.0289  0.0265  0.0486  0.03
Random 3   90  -0.0282  0.0090  0.0290  0.0229  0.2360  0.07

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).