Rubinstein 1952

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   39  0.4910  0.0148  0.0560  0.0572  0.0471  0.04
Anderszewski 2003   58  0.4328  0.0058  0.0747  0.0751  0.0453  0.05
Ashkenazy 1981   51  0.4444  0.0068  0.0552  0.0563  0.0473  0.04
Bacha 2000   43  0.4763  0.0039  0.0638  0.2015  0.3631  0.27
Badura 1965   82  0.3180  0.0082  0.0472  0.0475  0.0472  0.04
Barbosa 1983   25  0.5523  0.0015  0.1021  0.4513  0.5410  0.49
Biret 1990   21  0.5655  0.0020  0.1016  0.4832  0.2327  0.33
Blet 2003   47  0.4567  0.0052  0.0473  0.0460  0.0566  0.04
Block 1995   71  0.3836  0.0044  0.0544  0.1140  0.1346  0.12
Blumental 1952   14  0.5957  0.0011  0.1424  0.4114  0.3920  0.40
Boshniakovich 1969   69  0.3960  0.0070  0.0381  0.0372  0.0484  0.03
Brailowsky 1960   41  0.4813  0.0140  0.0639  0.1719  0.4730  0.28
Bunin 1987   83  0.3181  0.0085  0.0378  0.0382  0.0385  0.03
Bunin 1987b   85  0.2982  0.0086  0.0383  0.0379  0.0377  0.03
Chiu 1999   50  0.4550  0.0042  0.0641  0.1531  0.1741  0.16
Cohen 1997   31  0.5225  0.0025  0.1028  0.363  0.5217  0.43
Cortot 1951   76  0.3587  0.0079  0.0377  0.0364  0.0574  0.04
Csalog 1996   16  0.5851  0.0016  0.0915  0.487  0.5111  0.49
Czerny 1949   57  0.4356  0.0062  0.0556  0.0568  0.0470  0.04
Czerny 1990   12  0.6037  0.0012  0.1717  0.4727  0.3918  0.43
Duchoud 2007   68  0.4073  0.0075  0.0287  0.0257  0.0583  0.03
Ezaki 2006   28  0.5452  0.0032  0.0932  0.3040  0.1734  0.23
Falvay 1989   3  0.663  0.044  0.228  0.603  0.626  0.61
Farrell 1958   19  0.5726  0.007  0.159  0.569  0.568  0.56
Ferenczy 1958   70  0.3983  0.0072  0.0379  0.0350  0.0568  0.04
Fliere 1977   30  0.5218  0.0131  0.0823  0.4157  0.0543  0.14
Fou 1978   7  0.6216  0.0110  0.217  0.6014  0.499  0.54
Francois 1956   37  0.4984  0.0036  0.0833  0.3015  0.5021  0.39
Friedman 1923   74  0.3719  0.0073  0.0375  0.0348  0.0676  0.04
Friedman 1923b   75  0.3643  0.0074  0.0557  0.0566  0.0556  0.05
Friedman 1930   79  0.3246  0.0080  0.0384  0.0377  0.0482  0.03
Garcia 2007   67  0.4068  0.0067  0.0561  0.0549  0.0555  0.05
Garcia 2007b   42  0.4849  0.0049  0.0466  0.0470  0.0475  0.04
Gierzod 1998   24  0.5531  0.0034  0.0827  0.3655  0.0642  0.15
Gornostaeva 1994   63  0.4158  0.0060  0.0745  0.0759  0.0357  0.05
Groot 1988   26  0.554  0.0323  0.1214  0.496  0.4812  0.48
Harasiewicz 1955   49  0.4542  0.0046  0.0748  0.0759  0.0551  0.06
Hatto 1993   54  0.4469  0.0056  0.0651  0.0665  0.0459  0.05
Hatto 1997   53  0.4464  0.0050  0.0562  0.0556  0.0554  0.05
Horowitz 1949   86  0.2921  0.0087  0.0469  0.0484  0.0379  0.03
Indjic 1988   55  0.4461  0.0057  0.0649  0.0682  0.0365  0.04
Kapell 1951   8  0.629  0.0213  0.1213  0.5525  0.3019  0.41
Kissin 1993   13  0.5924  0.0019  0.1010  0.5537  0.3615  0.44
Kushner 1989   4  0.6315  0.019  0.243  0.6716  0.584  0.62
Luisada 1991   27  0.5417  0.0128  0.0930  0.3434  0.2033  0.26
Lushtak 2004   6  0.6220  0.003  0.186  0.636  0.625  0.62
Malcuzynski 1961   77  0.3347  0.0081  0.0376  0.0377  0.0378  0.03
Magaloff 1978   23  0.5639  0.0022  0.1225  0.387  0.4816  0.43
Magin 1975   36  0.495  0.0230  0.0736  0.2341  0.1837  0.20
Michalowski 1933   87  0.2548  0.0084  0.0374  0.0364  0.0481  0.03
Milkina 1970   9  0.6111  0.018  0.174  0.6513  0.557  0.60
Mohovich 1999   5  0.637  0.025  0.175  0.637  0.663  0.64
Moravec 1969   32  0.5114  0.0141  0.0643  0.1324  0.3836  0.22
Morozova 2008   33  0.5145  0.0035  0.0831  0.3242  0.1735  0.23
Neighaus 1950   72  0.3888  0.0071  0.0380  0.0369  0.0486  0.03
Niedzielski 1931   81  0.3178  0.0078  0.0285  0.0287  0.0387  0.02
Ohlsson 1999   46  0.4640  0.0055  0.0650  0.0644  0.1149  0.08
Osinska 1989   20  0.5753  0.0014  0.1212  0.5535  0.2323  0.36
Pachmann 1927   80  0.3265  0.0083  0.0467  0.0428  0.2947  0.11
Paderewski 1930   78  0.3385  0.0076  0.0286  0.0245  0.0580  0.03
Perlemuter 1992   35  0.5027  0.0043  0.0742  0.1549  0.0648  0.09
Pierdomenico 2008   59  0.4279  0.0053  0.0463  0.0449  0.0652  0.05
Poblocka 1999   34  0.516  0.0229  0.0735  0.2542  0.1538  0.19
Rabcewiczowa 1932   15  0.5986  0.006  0.1719  0.4610  0.4813  0.47
Rachmaninoff 1923   65  0.418  0.0233  0.0734  0.2641  0.1439  0.19
Rangell 2001   60  0.4241  0.0047  0.0559  0.0552  0.0558  0.05
Richter 1976   84  0.3029  0.0069  0.0471  0.0469  0.0462  0.04
Rosen 1989   17  0.5734  0.0024  0.1222  0.4332  0.2726  0.34
Rosenthal 1930   73  0.3774  0.0077  0.0382  0.0343  0.1250  0.06
Rosenthal 1931   48  0.4589  0.0051  0.0470  0.0417  0.4744  0.14
Rosenthal 1931b   52  0.4475  0.0059  0.0746  0.0717  0.4740  0.18
Rosenthal 1931c   44  0.4770  0.0038  0.0637  0.2020  0.4629  0.30
Rosenthal 1931d   62  0.4271  0.0061  0.0464  0.0422  0.4545  0.13
Rossi 2007   61  0.4262  0.0037  0.0740  0.1612  0.4532  0.27
Rubinstein 1939   2  0.742  0.352  0.602  0.751  0.782  0.76
Rubinstein 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1966   1  0.741  0.361  0.361  0.801  0.781  0.79
Schilhawsky 1960   66  0.4138  0.0065  0.0558  0.0559  0.0467  0.04
Shebanova 2002   18  0.5712  0.0118  0.0811  0.5539  0.1828  0.31
Smith 1975   29  0.5322  0.0027  0.0726  0.3720  0.3324  0.35
Sokolov 2002   40  0.4954  0.0054  0.0555  0.0560  0.0461  0.04
Sztompka 1959   38  0.4932  0.0045  0.0554  0.0570  0.0463  0.04
Tomsic 1995   22  0.5633  0.0026  0.0729  0.356  0.6114  0.46
Uninsky 1932   56  0.4372  0.0064  0.0468  0.0460  0.0469  0.04
Uninsky 1971   64  0.4166  0.0066  0.0465  0.0465  0.0564  0.04
Wasowski 1980   45  0.4630  0.0063  0.0553  0.0576  0.0460  0.04
Zak 1937   11  0.6035  0.0021  0.1218  0.4731  0.2625  0.35
Zak 1951   10  0.6159  0.0017  0.0820  0.4531  0.3022  0.37
Random 1   90  -0.0876  0.0088  0.0188  0.0151  0.0489  0.02
Random 2   88  -0.0190  0.0089  0.0189  0.0145  0.0588  0.02
Random 3   89  -0.0877  0.0090  0.0190  0.0153  0.0490  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).