Rubinstein 1952

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   70  0.389  0.0179  0.0379  0.0383  0.0387  0.03
Anderszewski 2003   22  0.5632  0.0021  0.0918  0.5315  0.5619  0.54
Ashkenazy 1981   60  0.4236  0.0068  0.0380  0.0338  0.1871  0.07
Bacha 2000   62  0.4174  0.0063  0.0555  0.0516  0.4155  0.14
Badura 1965   76  0.3567  0.0062  0.0460  0.0434  0.1967  0.09
Barbosa 1983   15  0.5924  0.0012  0.139  0.638  0.6611  0.64
Biret 1990   30  0.5264  0.0030  0.1028  0.3727  0.3732  0.37
Blet 2003   81  0.3275  0.0082  0.0469  0.0463  0.0483  0.04
Block 1995   54  0.4568  0.0045  0.0650  0.0613  0.5047  0.17
Blumental 1952   35  0.5040  0.0042  0.0642  0.1533  0.3344  0.22
Boshniakovich 1969   40  0.4957  0.0034  0.0834  0.2625  0.3240  0.29
Brailowsky 1960   32  0.5135  0.0035  0.0735  0.2524  0.4734  0.34
Bunin 1987   64  0.4051  0.0065  0.0373  0.0333  0.1772  0.07
Bunin 1987b   73  0.3776  0.0069  0.0372  0.0342  0.1176  0.06
Chiu 1999   61  0.4233  0.0073  0.0464  0.0453  0.0680  0.05
Cohen 1997   57  0.4241  0.0067  0.0378  0.0310  0.3964  0.11
Cortot 1951   82  0.2980  0.0064  0.0467  0.0436  0.2565  0.10
Csalog 1996   42  0.4960  0.0046  0.0748  0.0726  0.3251  0.15
Czerny 1949   9  0.6023  0.005  0.1111  0.6212  0.699  0.65
Czerny 1990   4  0.6326  0.0013  0.167  0.6512  0.706  0.67
Duchoud 2007   72  0.3871  0.0066  0.0375  0.0311  0.5461  0.13
Ezaki 2006   14  0.5948  0.0020  0.0814  0.5613  0.5517  0.55
Falvay 1989   6  0.6219  0.0018  0.1021  0.5124  0.5122  0.51
Farrell 1958   26  0.5321  0.008  0.1112  0.583  0.747  0.66
Ferenczy 1958   75  0.3669  0.0077  0.0287  0.0250  0.0685  0.03
Fliere 1977   19  0.5810  0.0123  0.1016  0.5415  0.5021  0.52
Fou 1978   16  0.5812  0.0017  0.1119  0.533  0.6216  0.57
Francois 1956   58  0.4277  0.0055  0.0468  0.047  0.5354  0.15
Friedman 1923   55  0.436  0.0243  0.0543  0.143  0.6638  0.30
Friedman 1923b   63  0.4149  0.0044  0.0644  0.123  0.6241  0.27
Friedman 1930   78  0.3546  0.0070  0.0470  0.0438  0.2066  0.09
Garcia 2007   74  0.3661  0.0057  0.0465  0.0419  0.4758  0.14
Garcia 2007b   39  0.5052  0.0031  0.0932  0.316  0.6227  0.44
Gierzod 1998   10  0.6028  0.0022  0.1022  0.4829  0.3529  0.41
Gornostaeva 1994   51  0.4643  0.0052  0.0559  0.0539  0.1868  0.09
Groot 1988   53  0.454  0.0236  0.0838  0.2019  0.3543  0.26
Harasiewicz 1955   20  0.5711  0.019  0.1220  0.5118  0.5720  0.54
Hatto 1993   44  0.4850  0.0029  0.0729  0.3628  0.3533  0.35
Hatto 1997   38  0.5084  0.0019  0.0924  0.4522  0.4526  0.45
Horowitz 1949   84  0.2837  0.0084  0.0383  0.0352  0.0681  0.04
Indjic 1988   43  0.4955  0.0028  0.1126  0.3925  0.3831  0.38
Kapell 1951   5  0.638  0.0110  0.1310  0.628  0.6710  0.64
Kissin 1993   17  0.5829  0.0024  0.1323  0.487  0.6914  0.58
Kushner 1989   3  0.6518  0.003  0.283  0.716  0.655  0.68
Luisada 1991   56  0.4327  0.0072  0.0376  0.0342  0.1475  0.06
Lushtak 2004   12  0.5931  0.004  0.154  0.682  0.733  0.70
Malcuzynski 1961   27  0.5334  0.0016  0.1417  0.5414  0.5518  0.54
Magaloff 1978   29  0.5216  0.0038  0.0641  0.1621  0.4142  0.26
Magin 1975   18  0.583  0.036  0.1115  0.546  0.6413  0.59
Michalowski 1933   85  0.2081  0.0085  0.0285  0.0234  0.1877  0.06
Milkina 1970   7  0.6225  0.007  0.116  0.676  0.648  0.65
Mohovich 1999   8  0.6120  0.0011  0.125  0.672  0.714  0.69
Moravec 1969   37  0.5014  0.0061  0.0556  0.0558  0.0678  0.05
Morozova 2008   50  0.4739  0.0041  0.1039  0.2017  0.5036  0.32
Neighaus 1950   66  0.4085  0.0074  0.0654  0.0620  0.4250  0.16
Niedzielski 1931   86  0.1986  0.0087  0.0374  0.0375  0.0484  0.03
Ohlsson 1999   49  0.4753  0.0048  0.0652  0.0617  0.4549  0.16
Osinska 1989   13  0.5954  0.0014  0.2113  0.5719  0.5715  0.57
Pachmann 1927   80  0.3244  0.0076  0.0463  0.0422  0.4160  0.13
Paderewski 1930   87  0.1787  0.0086  0.0381  0.0348  0.0582  0.04
Perlemuter 1992   65  0.4056  0.0078  0.0286  0.0237  0.2270  0.07
Pierdomenico 2008   68  0.3970  0.0058  0.0653  0.0623  0.4646  0.17
Poblocka 1999   11  0.605  0.0215  0.148  0.639  0.6212  0.62
Rabcewiczowa 1932   47  0.4862  0.0025  0.0830  0.3310  0.4530  0.39
Rachmaninoff 1923   69  0.397  0.0151  0.0749  0.0732  0.2659  0.13
Rangell 2001   45  0.4822  0.0054  0.0558  0.0520  0.4653  0.15
Richter 1976   25  0.5482  0.0032  0.0731  0.3217  0.5828  0.43
Rosen 1989   33  0.5072  0.0050  0.0745  0.0729  0.3152  0.15
Rosenthal 1930   83  0.2958  0.0083  0.0284  0.0275  0.0389  0.02
Rosenthal 1931   71  0.3888  0.0075  0.0462  0.0430  0.2863  0.11
Rosenthal 1931b   77  0.3583  0.0080  0.0382  0.0341  0.1573  0.07
Rosenthal 1931c   67  0.3963  0.0071  0.0377  0.0341  0.1774  0.07
Rosenthal 1931d   79  0.3478  0.0081  0.0371  0.0337  0.2069  0.08
Rossi 2007   59  0.4265  0.0053  0.0466  0.048  0.5157  0.14
Rubinstein 1939   2  0.682  0.212  0.582  0.741  0.802  0.77
Rubinstein 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1966   1  0.761  0.571  0.571  0.861  0.861  0.86
Schilhawsky 1960   34  0.5047  0.0040  0.0737  0.2111  0.5635  0.34
Shebanova 2002   28  0.5230  0.0037  0.0736  0.2215  0.4637  0.32
Smith 1975   36  0.5015  0.0049  0.0651  0.0623  0.4148  0.16
Sokolov 2002   52  0.4666  0.0056  0.0461  0.0420  0.4756  0.14
Sztompka 1959   24  0.5517  0.0033  0.0933  0.319  0.6425  0.45
Tomsic 1995   41  0.4942  0.0060  0.0746  0.0735  0.2162  0.12
Uninsky 1932   48  0.4773  0.0047  0.0747  0.0712  0.6345  0.21
Uninsky 1971   31  0.5259  0.0039  0.0740  0.1924  0.4339  0.29
Wasowski 1980   46  0.4838  0.0059  0.0557  0.0553  0.0679  0.05
Zak 1937   23  0.5613  0.0027  0.0927  0.3914  0.5624  0.47
Zak 1951   21  0.5745  0.0026  0.0825  0.4412  0.5923  0.51
Random 1   89  -0.0689  0.0090  0.0190  0.0143  0.1188  0.03
Random 2   88  0.0290  0.0088  0.0288  0.0249  0.0486  0.03
Random 3   90  -0.0679  0.0089  0.0189  0.0167  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).