Rubinstein 1966

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   76  0.3680  0.0073  0.0380  0.0368  0.0487  0.03
Anderszewski 2003   16  0.6110  0.0012  0.1321  0.588  0.6620  0.62
Ashkenazy 1981   53  0.4554  0.0055  0.0469  0.0414  0.4564  0.13
Bacha 2000   56  0.4418  0.0048  0.0752  0.073  0.6047  0.20
Badura 1965   66  0.4132  0.0057  0.0562  0.0512  0.4661  0.15
Barbosa 1983   13  0.6220  0.0011  0.167  0.683  0.758  0.71
Biret 1990   32  0.5466  0.0025  0.1024  0.5013  0.5429  0.52
Blet 2003   80  0.3487  0.0080  0.0381  0.0365  0.0485  0.03
Block 1995   54  0.4547  0.0050  0.0750  0.0724  0.4055  0.17
Blumental 1952   58  0.4463  0.0066  0.0563  0.0549  0.0775  0.06
Boshniakovich 1969   38  0.5323  0.0021  0.1325  0.4910  0.5432  0.51
Brailowsky 1960   55  0.4549  0.0059  0.0470  0.0441  0.1970  0.09
Bunin 1987   61  0.4351  0.0054  0.0568  0.0523  0.3265  0.13
Bunin 1987b   70  0.4081  0.0061  0.0567  0.0535  0.1969  0.10
Chiu 1999   52  0.4656  0.0058  0.0477  0.0424  0.3167  0.11
Cohen 1997   63  0.4252  0.0069  0.0748  0.078  0.4949  0.19
Cortot 1951   81  0.3358  0.0071  0.0566  0.0519  0.4662  0.15
Csalog 1996   30  0.5568  0.0030  0.1032  0.427  0.6131  0.51
Czerny 1949   15  0.6245  0.0016  0.0913  0.667  0.759  0.70
Czerny 1990   4  0.689  0.015  0.144  0.744  0.834  0.78
Duchoud 2007   77  0.3574  0.0077  0.0474  0.0433  0.4063  0.13
Ezaki 2006   19  0.5928  0.0023  0.1322  0.5311  0.5922  0.56
Falvay 1989   14  0.6237  0.0027  0.0823  0.5220  0.5725  0.54
Farrell 1958   29  0.5524  0.0015  0.1019  0.613  0.7911  0.69
Ferenczy 1958   73  0.3975  0.0075  0.0379  0.0363  0.0581  0.04
Fliere 1977   27  0.5660  0.0031  0.1129  0.4517  0.5035  0.47
Fou 1978   25  0.5717  0.0026  0.0826  0.485  0.6026  0.54
Francois 1956   60  0.4461  0.0051  0.0654  0.067  0.5350  0.18
Friedman 1923   59  0.4419  0.0063  0.0656  0.066  0.5751  0.18
Friedman 1923b   64  0.4230  0.0064  0.0559  0.059  0.5656  0.17
Friedman 1930   75  0.3746  0.0076  0.0565  0.0553  0.0677  0.05
Garcia 2007   72  0.3957  0.0067  0.0658  0.0619  0.4854  0.17
Garcia 2007b   42  0.5221  0.0024  0.1330  0.453  0.6923  0.56
Gierzod 1998   8  0.6416  0.0017  0.1114  0.6513  0.5721  0.61
Gornostaeva 1994   44  0.5139  0.0043  0.0845  0.2118  0.4644  0.31
Groot 1988   51  0.4776  0.0036  0.0937  0.3114  0.4041  0.35
Harasiewicz 1955   5  0.663  0.044  0.356  0.725  0.726  0.72
Hatto 1993   23  0.5853  0.0019  0.1217  0.648  0.6816  0.66
Hatto 1997   18  0.6059  0.0014  0.1210  0.675  0.7212  0.69
Horowitz 1949   84  0.3043  0.0085  0.0386  0.0354  0.0580  0.04
Indjic 1988   20  0.5922  0.0020  0.1816  0.656  0.7014  0.67
Kapell 1951   6  0.644  0.0310  0.1311  0.666  0.7113  0.68
Kissin 1993   11  0.6326  0.0018  0.1215  0.653  0.777  0.71
Kushner 1989   3  0.716  0.013  0.343  0.802  0.773  0.78
Luisada 1991   68  0.4171  0.0072  0.0475  0.0463  0.0479  0.04
Lushtak 2004   7  0.647  0.016  0.205  0.732  0.765  0.74
Malcuzynski 1961   26  0.5750  0.0022  0.1620  0.594  0.6519  0.62
Magaloff 1978   36  0.5427  0.0045  0.1143  0.2216  0.4942  0.33
Magin 1975   28  0.5625  0.0033  0.1034  0.4113  0.5833  0.49
Michalowski 1933   88  0.1872  0.0088  0.0382  0.0373  0.0384  0.03
Milkina 1970   12  0.6311  0.007  0.158  0.686  0.6515  0.66
Mohovich 1999   17  0.6135  0.0013  0.1118  0.624  0.6918  0.65
Moravec 1969   43  0.5267  0.0049  0.0657  0.0633  0.2266  0.11
Morozova 2008   39  0.5377  0.0035  0.1033  0.418  0.5934  0.49
Neighaus 1950   65  0.4288  0.0070  0.0653  0.0620  0.4357  0.16
Niedzielski 1931   86  0.2482  0.0084  0.0287  0.0268  0.0483  0.03
Ohlsson 1999   35  0.5438  0.0039  0.0736  0.335  0.6436  0.46
Osinska 1989   9  0.645  0.019  0.1312  0.6612  0.6517  0.65
Pachmann 1927   83  0.3064  0.0081  0.0476  0.0440  0.1771  0.08
Paderewski 1930   87  0.2369  0.0079  0.0384  0.0340  0.1673  0.07
Perlemuter 1992   67  0.4189  0.0074  0.0473  0.0433  0.2668  0.10
Pierdomenico 2008   69  0.4044  0.0056  0.0472  0.0414  0.5460  0.15
Poblocka 1999   21  0.5931  0.0028  0.0928  0.4611  0.5630  0.51
Rabcewiczowa 1932   49  0.4762  0.0041  0.0541  0.2320  0.4045  0.30
Rachmaninoff 1923   71  0.3990  0.0060  0.0560  0.0545  0.1072  0.07
Rangell 2001   45  0.5040  0.0052  0.0847  0.0811  0.5346  0.21
Richter 1976   33  0.5455  0.0037  0.0938  0.2815  0.5937  0.41
Rosen 1989   48  0.4883  0.0065  0.0751  0.0759  0.0478  0.05
Rosenthal 1930   82  0.3265  0.0086  0.0288  0.0275  0.0390  0.02
Rosenthal 1931   74  0.3870  0.0078  0.0471  0.0440  0.1374  0.07
Rosenthal 1931b   78  0.3478  0.0083  0.0478  0.0467  0.0482  0.04
Rosenthal 1931c   79  0.3434  0.0082  0.0383  0.0366  0.0489  0.03
Rosenthal 1931d   85  0.2984  0.0087  0.0385  0.0383  0.0388  0.03
Rossi 2007   62  0.4229  0.0068  0.0561  0.0515  0.4559  0.15
Rubinstein 1939   10  0.638  0.018  0.149  0.684  0.7010  0.69
Rubinstein 1952   2  0.762  0.162  0.652  0.861  0.861  0.86
Rubinstein 1966   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Schilhawsky 1960   46  0.4948  0.0047  0.0655  0.0623  0.4853  0.17
Shebanova 2002   40  0.5342  0.0038  0.0744  0.2214  0.5143  0.33
Smith 1975   47  0.4912  0.0053  0.0749  0.0727  0.3952  0.17
Sokolov 2002   57  0.4485  0.0062  0.0564  0.0520  0.4758  0.15
Sztompka 1959   31  0.5513  0.0034  0.1035  0.396  0.6928  0.52
Tomsic 1995   37  0.5314  0.0044  0.0940  0.2313  0.5240  0.35
Uninsky 1932   50  0.4741  0.0042  0.0642  0.2317  0.5939  0.37
Uninsky 1971   34  0.5486  0.0040  0.0639  0.2718  0.5238  0.37
Wasowski 1980   41  0.5233  0.0046  0.1046  0.1025  0.4248  0.20
Zak 1937   24  0.5715  0.0032  0.0931  0.4510  0.6427  0.54
Zak 1951   22  0.5836  0.0029  0.0827  0.469  0.6624  0.55
Average   1  0.781  0.621  0.611  0.895  0.772  0.83
Random 1   91  -0.1391  0.0091  0.0191  0.0190  0.0191  0.01
Random 2   89  0.0279  0.0089  0.0290  0.0247  0.0586  0.03
Random 3   90  -0.0673  0.0090  0.0289  0.0236  0.1976  0.06

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).