Rubinstein 1952

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   40  0.499  0.0149  0.0561  0.0573  0.0472  0.04
Anderszewski 2003   59  0.4328  0.0059  0.0748  0.0752  0.0453  0.05
Ashkenazy 1981   52  0.4446  0.0069  0.0553  0.0564  0.0474  0.04
Bacha 2000   44  0.4763  0.0040  0.0639  0.2016  0.3632  0.27
Badura 1965   83  0.3181  0.0083  0.0473  0.0476  0.0473  0.04
Barbosa 1983   26  0.5522  0.0016  0.1022  0.4514  0.5410  0.49
Biret 1990   22  0.5654  0.0021  0.1017  0.4833  0.2328  0.33
Blet 2003   48  0.4568  0.0053  0.0474  0.0461  0.0566  0.04
Block 1995   72  0.3834  0.0045  0.0545  0.1141  0.1347  0.12
Blumental 1952   15  0.5955  0.0012  0.1425  0.4115  0.3921  0.40
Boshniakovich 1969   70  0.3958  0.0071  0.0382  0.0373  0.0484  0.03
Brailowsky 1960   42  0.4813  0.0141  0.0640  0.1720  0.4731  0.28
Bunin 1987   84  0.3182  0.0086  0.0379  0.0383  0.0385  0.03
Bunin 1987b   86  0.2983  0.0087  0.0384  0.0380  0.0377  0.03
Chiu 1999   51  0.4551  0.0043  0.0642  0.1532  0.1742  0.16
Cohen 1997   32  0.5225  0.0026  0.0929  0.364  0.5217  0.43
Cortot 1951   77  0.3588  0.0080  0.0378  0.0365  0.0487  0.03
Csalog 1996   17  0.5852  0.0017  0.0916  0.488  0.5111  0.49
Czerny 1949   58  0.4361  0.0063  0.0557  0.0569  0.0471  0.04
Czerny 1990   13  0.6036  0.0013  0.1718  0.4728  0.3918  0.43
Duchoud 2007   69  0.4074  0.0076  0.0288  0.0258  0.0583  0.03
Ezaki 2006   29  0.5456  0.0033  0.0933  0.3041  0.1735  0.23
Falvay 1989   4  0.664  0.045  0.229  0.604  0.626  0.61
Farrell 1958   20  0.5727  0.008  0.1410  0.5610  0.568  0.56
Ferenczy 1958   71  0.3984  0.0073  0.0380  0.0351  0.0569  0.04
Fliere 1977   31  0.5221  0.0032  0.0824  0.4158  0.0543  0.14
Fou 1978   8  0.6216  0.0111  0.218  0.6015  0.499  0.54
Francois 1956   38  0.4985  0.0037  0.0834  0.3016  0.5022  0.39
Friedman 1923   75  0.3719  0.0074  0.0376  0.0349  0.0676  0.04
Friedman 1923b   76  0.3644  0.0075  0.0558  0.0567  0.0555  0.05
Friedman 1930   80  0.3247  0.0081  0.0385  0.0378  0.0482  0.03
Garcia 2007   68  0.4069  0.0068  0.0562  0.0550  0.0554  0.05
Garcia 2007b   43  0.4850  0.0050  0.0467  0.0471  0.0475  0.04
Gierzod 1998   25  0.5530  0.0035  0.0828  0.3656  0.0545  0.13
Gornostaeva 1994   64  0.4159  0.0061  0.0746  0.0760  0.0356  0.05
Groot 1988   27  0.5514  0.0124  0.1215  0.497  0.4812  0.48
Harasiewicz 1955   50  0.4543  0.0047  0.0649  0.0660  0.0559  0.05
Hatto 1993   55  0.4470  0.0057  0.0652  0.0666  0.0458  0.05
Hatto 1997   54  0.4464  0.0051  0.0463  0.0457  0.0568  0.04
Horowitz 1949   87  0.2920  0.0088  0.0470  0.0485  0.0379  0.03
Indjic 1988   56  0.4465  0.0058  0.0650  0.0683  0.0365  0.04
Kapell 1951   9  0.627  0.0214  0.1214  0.5526  0.3019  0.41
Kissin 1993   14  0.5923  0.0020  0.1011  0.5538  0.3615  0.44
Kushner 1989   5  0.6317  0.0110  0.234  0.6717  0.584  0.62
Luisada 1991   28  0.5418  0.0129  0.0931  0.3435  0.2034  0.26
Lushtak 2004   7  0.6237  0.004  0.187  0.637  0.625  0.62
Malcuzynski 1961   78  0.3348  0.0082  0.0377  0.0378  0.0378  0.03
Magaloff 1978   24  0.5640  0.0023  0.1126  0.388  0.4816  0.43
Magin 1975   37  0.4910  0.0131  0.0737  0.2342  0.1838  0.20
Michalowski 1933   88  0.2549  0.0085  0.0375  0.0365  0.0481  0.03
Milkina 1970   10  0.6111  0.019  0.175  0.6514  0.557  0.60
Mohovich 1999   6  0.635  0.026  0.176  0.638  0.663  0.64
Moravec 1969   33  0.5115  0.0142  0.0644  0.1325  0.3837  0.22
Morozova 2008   34  0.5145  0.0036  0.0832  0.3243  0.1736  0.23
Neighaus 1950   73  0.3889  0.0072  0.0381  0.0370  0.0486  0.03
Niedzielski 1931   82  0.3179  0.0079  0.0286  0.0288  0.0388  0.02
Ohlsson 1999   47  0.4641  0.0056  0.0651  0.0645  0.1150  0.08
Osinska 1989   21  0.5757  0.0015  0.1213  0.5536  0.2324  0.36
Pachmann 1927   81  0.3266  0.0084  0.0468  0.0429  0.2948  0.11
Paderewski 1930   79  0.3386  0.0077  0.0287  0.0246  0.0580  0.03
Perlemuter 1992   36  0.5026  0.0044  0.0743  0.1550  0.0549  0.09
Pierdomenico 2008   60  0.4280  0.0054  0.0464  0.0450  0.0652  0.05
Poblocka 1999   35  0.516  0.0230  0.0736  0.2543  0.1539  0.19
Rabcewiczowa 1932   16  0.5987  0.007  0.1720  0.4611  0.4813  0.47
Rachmaninoff 1923   66  0.418  0.0234  0.0735  0.2642  0.1440  0.19
Rangell 2001   61  0.4242  0.0048  0.0560  0.0553  0.0557  0.05
Richter 1976   85  0.3029  0.0070  0.0472  0.0470  0.0462  0.04
Rosen 1989   18  0.5738  0.0025  0.1223  0.4333  0.2727  0.34
Rosenthal 1930   74  0.3775  0.0078  0.0383  0.0344  0.1251  0.06
Rosenthal 1931   49  0.4590  0.0052  0.0471  0.0418  0.4744  0.14
Rosenthal 1931b   53  0.4476  0.0060  0.0747  0.0718  0.4741  0.18
Rosenthal 1931c   45  0.4771  0.0039  0.0638  0.2021  0.4630  0.30
Rosenthal 1931d   63  0.4272  0.0062  0.0465  0.0423  0.4546  0.13
Rossi 2007   62  0.4262  0.0038  0.0741  0.1613  0.4533  0.27
Rubinstein 1939   2  0.742  0.292  0.533  0.752  0.782  0.76
Rubinstein 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1966   1  0.741  0.331  0.331  0.802  0.781  0.79
Schilhawsky 1960   67  0.4139  0.0066  0.0559  0.0560  0.0467  0.04
Shebanova 2002   19  0.5712  0.0119  0.0812  0.5540  0.1829  0.31
Smith 1975   30  0.5324  0.0028  0.0727  0.3721  0.3325  0.35
Sokolov 2002   41  0.4953  0.0055  0.0556  0.0561  0.0461  0.04
Sztompka 1959   39  0.4932  0.0046  0.0555  0.0571  0.0463  0.04
Tomsic 1995   23  0.5633  0.0027  0.0730  0.357  0.6114  0.46
Uninsky 1932   57  0.4373  0.0065  0.0469  0.0461  0.0470  0.04
Uninsky 1971   65  0.4167  0.0067  0.0466  0.0466  0.0564  0.04
Wasowski 1980   46  0.4631  0.0064  0.0554  0.0577  0.0460  0.04
Zak 1937   12  0.6035  0.0022  0.1219  0.4732  0.2626  0.35
Zak 1951   11  0.6160  0.0018  0.0821  0.4532  0.3023  0.37
Average   3  0.663  0.133  0.372  0.7841  0.2120  0.40
Random 1   91  -0.0877  0.0089  0.0189  0.0151  0.0490  0.02
Random 2   89  -0.0191  0.0090  0.0190  0.0146  0.0589  0.02
Random 3   90  -0.0878  0.0091  0.0191  0.0154  0.0491  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).