Rubinstein 1952

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   38  0.4816  0.0149  0.1045  0.1075  0.0353  0.05
Anderszewski 2003   74  0.2863  0.0069  0.0652  0.0686  0.0365  0.04
Ashkenazy 1981   53  0.4158  0.0067  0.0472  0.0484  0.0284  0.03
Bacha 2000   37  0.4861  0.0035  0.0622  0.4139  0.1027  0.20
Badura 1965   85  0.2167  0.0082  0.0382  0.0380  0.0382  0.03
Barbosa 1983   36  0.4848  0.0021  0.0920  0.4314  0.3416  0.38
Biret 1990   18  0.5742  0.0020  0.0816  0.4547  0.0636  0.16
Blet 2003   27  0.5587  0.0026  0.0721  0.4355  0.0635  0.16
Block 1995   77  0.2626  0.0024  0.0544  0.1370  0.0444  0.07
Blumental 1952   6  0.678  0.036  0.2823  0.416  0.3617  0.38
Boshniakovich 1969   79  0.2575  0.0080  0.0387  0.0379  0.0383  0.03
Brailowsky 1960   48  0.4427  0.0033  0.0634  0.3320  0.3319  0.33
Bunin 1987   83  0.2245  0.0087  0.0480  0.0476  0.0385  0.03
Bunin 1987b   82  0.2276  0.0086  0.0477  0.0475  0.0378  0.03
Chiu 1999   41  0.4668  0.0037  0.0639  0.2535  0.1925  0.22
Cohen 1997   17  0.5713  0.017  0.1311  0.503  0.506  0.50
Cortot 1951   57  0.4085  0.0060  0.0470  0.0474  0.0475  0.04
Csalog 1996   4  0.685  0.058  0.154  0.552  0.525  0.53
Czerny 1949   80  0.2569  0.0075  0.0481  0.0473  0.0470  0.04
Czerny 1990   22  0.5664  0.0017  0.0825  0.3842  0.1030  0.19
Duchoud 2007   68  0.3211  0.0174  0.0562  0.0581  0.0281  0.03
Ezaki 2006   43  0.4570  0.0047  0.1047  0.1084  0.0349  0.05
Falvay 1989   5  0.6729  0.005  0.177  0.522  0.604  0.56
Farrell 1958   11  0.5938  0.0010  0.1619  0.4423  0.3513  0.39
Ferenczy 1958   55  0.4077  0.0056  0.0750  0.0769  0.0452  0.05
Fliere 1977   46  0.4420  0.0148  0.1046  0.1078  0.0446  0.06
Fou 1978   14  0.5917  0.0114  0.069  0.5250  0.0533  0.16
Francois 1956   31  0.5182  0.0036  0.0631  0.3438  0.1326  0.21
Friedman 1923   76  0.2778  0.0078  0.0476  0.0484  0.0386  0.03
Friedman 1923b   75  0.2759  0.0077  0.0475  0.0469  0.0473  0.04
Friedman 1930   78  0.2565  0.0079  0.0479  0.0463  0.0567  0.04
Garcia 2007   45  0.4483  0.0054  0.0567  0.0568  0.0372  0.04
Garcia 2007b   42  0.4522  0.0055  0.0653  0.0670  0.0457  0.05
Gierzod 1998   47  0.4444  0.0053  0.0568  0.0578  0.0371  0.04
Gornostaeva 1994   67  0.3446  0.0050  0.0749  0.0785  0.0274  0.04
Groot 1988   16  0.587  0.0319  0.086  0.5422  0.3510  0.43
Harasiewicz 1955   69  0.3055  0.0072  0.0569  0.0577  0.0376  0.04
Hatto 1993   59  0.3747  0.0061  0.0654  0.0669  0.0456  0.05
Hatto 1997   61  0.3749  0.0062  0.0560  0.0573  0.0468  0.04
Horowitz 1949   84  0.2232  0.0083  0.0384  0.0385  0.0287  0.02
Indjic 1988   62  0.3753  0.0063  0.0558  0.0572  0.0464  0.04
Kapell 1951   12  0.5962  0.0023  0.0933  0.3370  0.0441  0.11
Kissin 1993   23  0.5631  0.0034  0.0635  0.3143  0.0931  0.17
Kushner 1989   20  0.5712  0.0118  0.0912  0.4950  0.0534  0.16
Luisada 1991   21  0.574  0.0513  0.0717  0.4541  0.1324  0.24
Lushtak 2004   7  0.6443  0.004  0.1313  0.486  0.419  0.44
Malcuzynski 1961   86  0.1740  0.0084  0.0386  0.0377  0.0379  0.03
Magaloff 1978   15  0.5819  0.0112  0.1126  0.386  0.4311  0.40
Magin 1975   56  0.4014  0.0164  0.0565  0.0544  0.0848  0.06
Michalowski 1933   81  0.2456  0.0081  0.0383  0.0384  0.0380  0.03
Milkina 1970   24  0.5534  0.0015  0.098  0.5240  0.1622  0.29
Mohovich 1999   8  0.633  0.069  0.203  0.5724  0.427  0.49
Moravec 1969   26  0.5554  0.0039  0.0732  0.3421  0.4118  0.37
Morozova 2008   33  0.5121  0.0144  0.0942  0.1844  0.0939  0.13
Neighaus 1950   71  0.3037  0.0073  0.0655  0.0665  0.0555  0.05
Niedzielski 1931   58  0.3888  0.0052  0.0563  0.0562  0.0459  0.04
Ohlsson 1999   64  0.3628  0.0065  0.0471  0.0455  0.0562  0.04
Osinska 1989   35  0.5035  0.0030  0.0524  0.4060  0.0438  0.13
Pachmann 1927   73  0.2973  0.0068  0.0474  0.0450  0.0460  0.04
Paderewski 1930   40  0.4784  0.0043  0.0940  0.2253  0.0442  0.09
Perlemuter 1992   25  0.559  0.0216  0.0818  0.4447  0.0632  0.16
Pierdomenico 2008   60  0.3741  0.0058  0.0566  0.0559  0.0551  0.05
Poblocka 1999   63  0.3639  0.0066  0.0564  0.0570  0.0458  0.04
Rabcewiczowa 1932   3  0.6810  0.013  0.1710  0.509  0.408  0.45
Rachmaninoff 1923   51  0.4274  0.0046  0.0848  0.0862  0.0447  0.06
Rangell 2001   72  0.3023  0.0025  0.0843  0.1670  0.0345  0.07
Richter 1976   87  0.1024  0.0085  0.0385  0.0382  0.0288  0.02
Rosen 1989   19  0.5751  0.0027  0.0714  0.4656  0.0537  0.15
Rosenthal 1930   50  0.4372  0.0045  0.0656  0.0638  0.1043  0.08
Rosenthal 1931   34  0.5171  0.0038  0.0828  0.3615  0.4314  0.39
Rosenthal 1931b   32  0.5186  0.0040  0.1029  0.3614  0.4412  0.40
Rosenthal 1931c   29  0.5379  0.0022  0.1030  0.3614  0.4315  0.39
Rosenthal 1931d   39  0.4889  0.0041  0.0738  0.2815  0.3920  0.33
Rossi 2007   52  0.4180  0.0042  0.0841  0.1922  0.3223  0.25
Rubinstein 1939   1  0.781  0.451  0.451  0.672  0.641  0.65
Rubinstein 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1966   2  0.702  0.072  0.422  0.612  0.592  0.60
Schilhawsky 1960   66  0.3552  0.0070  0.0651  0.0681  0.0366  0.04
Shebanova 2002   28  0.5418  0.0129  0.0727  0.3759  0.0440  0.12
Smith 1975   30  0.5230  0.0028  0.0715  0.4626  0.2121  0.31
Sokolov 2002   44  0.4525  0.0051  0.0473  0.0483  0.0377  0.03
Sztompka 1959   54  0.4133  0.0057  0.0559  0.0584  0.0361  0.04
Tomsic 1995   9  0.626  0.0311  0.205  0.543  0.653  0.59
Uninsky 1932   65  0.3636  0.0071  0.0561  0.0581  0.0369  0.04
Uninsky 1971   70  0.3057  0.0076  0.0478  0.0468  0.0463  0.04
Wasowski 1980   49  0.4350  0.0059  0.0557  0.0566  0.0550  0.05
Zak 1937   13  0.5966  0.0031  0.0537  0.3042  0.1328  0.20
Zak 1951   10  0.5915  0.0132  0.0836  0.3141  0.1329  0.20
Random 1   90  -0.1760  0.0089  0.0189  0.0128  0.2154  0.05
Random 2   88  -0.0390  0.0088  0.0188  0.0170  0.0389  0.02
Random 3   89  -0.1581  0.0090  0.0190  0.0151  0.0590  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).