Rubinstein 1939

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   57  0.2416  0.0171  0.0374  0.0390  0.0278  0.02
Anderszewski 2003   48  0.2826  0.0039  0.0542  0.1386  0.0247  0.05
Ashkenazy 1981   59  0.2458  0.0053  0.0460  0.0488  0.0265  0.03
Bacha 2000   21  0.3763  0.0029  0.0635  0.2169  0.0430  0.09
Badura 1965   77  0.1230  0.0061  0.0463  0.0489  0.0262  0.03
Barbosa 1983   44  0.299  0.0330  0.0831  0.2979  0.0237  0.08
Biret 1990   10  0.4449  0.0027  0.0824  0.3679  0.0329  0.10
Blet 2003   28  0.3542  0.0049  0.0550  0.0587  0.0258  0.03
Block 1995   81  0.0872  0.0072  0.0375  0.0389  0.0282  0.02
Blumental 1952   51  0.2780  0.0037  0.0836  0.1876  0.0341  0.07
Boshniakovich 1969   38  0.3161  0.0025  0.0719  0.3873  0.0325  0.11
Brailowsky 1960   4  0.515  0.054  0.223  0.5628  0.284  0.40
Bunin 1987   35  0.3119  0.0155  0.0555  0.0588  0.0266  0.03
Bunin 1987b   33  0.3120  0.0154  0.0557  0.0588  0.0256  0.03
Chiu 1999   46  0.2927  0.0011  0.1015  0.4357  0.0418  0.13
Cohen 1997   22  0.372  0.163  0.216  0.5114  0.403  0.45
Cortot 1951   73  0.1765  0.0083  0.0285  0.0291  0.0190  0.01
Csalog 1996   15  0.4128  0.005  0.1716  0.4126  0.305  0.35
Czerny 1949   71  0.1840  0.0069  0.0467  0.0490  0.0260  0.03
Czerny 1990   62  0.2359  0.0080  0.0559  0.0589  0.0267  0.03
Duchoud 2007   31  0.3473  0.0058  0.0462  0.0489  0.0179  0.02
Ezaki 2006   69  0.2057  0.0077  0.0380  0.0389  0.0271  0.02
Falvay 1989   24  0.3622  0.0123  0.0822  0.3780  0.0321  0.11
Farrell 1958   6  0.4967  0.0028  0.1121  0.3776  0.0322  0.11
Ferenczy 1958   52  0.2624  0.0170  0.0465  0.0472  0.0359  0.03
Fliere 1977   11  0.4466  0.0024  0.0811  0.4675  0.0319  0.12
Fou 1978   12  0.436  0.048  0.135  0.5145  0.1211  0.25
Francois 1956   66  0.2237  0.0075  0.0468  0.0490  0.0270  0.03
Friedman 1923   91  -0.2085  0.0091  0.0191  0.0188  0.0191  0.01
Friedman 1923b   90  -0.1987  0.0090  0.0190  0.0188  0.0189  0.01
Friedman 1930   88  -0.1246  0.0087  0.0286  0.0290  0.0187  0.01
Garcia 2007   76  0.1454  0.0074  0.0377  0.0386  0.0280  0.02
Garcia 2007b   72  0.1823  0.0132  0.0833  0.2564  0.0335  0.09
Gierzod 1998   40  0.3036  0.0050  0.0551  0.0589  0.0261  0.03
Gornostaeva 1994   49  0.2710  0.0220  0.0738  0.1888  0.0245  0.06
Groot 1988   37  0.3131  0.0044  0.0543  0.1279  0.0346  0.06
Harasiewicz 1955   82  0.0341  0.0068  0.0466  0.0488  0.0269  0.03
Hatto 1993   8  0.4634  0.0012  0.0914  0.4330  0.188  0.28
Hatto 1997   7  0.484  0.0613  0.1518  0.4042  0.1016  0.20
Horowitz 1949   32  0.3432  0.0034  0.0730  0.3084  0.0331  0.09
Indjic 1988   5  0.4911  0.0210  0.1012  0.4431  0.179  0.27
Kapell 1951   42  0.3021  0.0148  0.0646  0.0685  0.0255  0.03
Kissin 1993   65  0.2268  0.0038  0.0537  0.1879  0.0339  0.07
Kushner 1989   34  0.3189  0.0060  0.0548  0.0588  0.0254  0.03
Luisada 1991   9  0.4518  0.0115  0.1113  0.4373  0.0320  0.11
Lushtak 2004   56  0.2481  0.0043  0.0544  0.1289  0.0248  0.05
Malcuzynski 1961   54  0.2570  0.0076  0.0383  0.0389  0.0274  0.02
Magaloff 1978   43  0.2975  0.0045  0.0740  0.1365  0.0342  0.06
Magin 1975   60  0.2413  0.0242  0.0545  0.1173  0.0344  0.06
Michalowski 1933   87  -0.0986  0.0082  0.0287  0.0291  0.0185  0.01
Milkina 1970   3  0.527  0.046  0.262  0.5638  0.196  0.33
Mohovich 1999   45  0.2982  0.0063  0.0471  0.0485  0.0364  0.03
Moravec 1969   27  0.3514  0.0136  0.1034  0.2381  0.0238  0.07
Morozova 2008   17  0.4035  0.0014  0.0720  0.3783  0.0234  0.09
Neighaus 1950   58  0.2488  0.0067  0.0556  0.0587  0.0268  0.03
Niedzielski 1931   55  0.2562  0.0057  0.0469  0.0444  0.0843  0.06
Ohlsson 1999   14  0.4250  0.0033  0.0632  0.2983  0.0333  0.09
Osinska 1989   36  0.3125  0.0021  0.0727  0.3481  0.0326  0.10
Pachmann 1927   25  0.3617  0.017  0.1310  0.4641  0.1412  0.25
Paderewski 1930   67  0.2076  0.0062  0.0376  0.0390  0.0175  0.02
Perlemuter 1992   74  0.1533  0.0073  0.0470  0.0488  0.0251  0.03
Pierdomenico 2008   53  0.2690  0.0035  0.0829  0.3083  0.0236  0.08
Poblocka 1999   39  0.3077  0.0046  0.0547  0.0561  0.0450  0.04
Rabcewiczowa 1932   79  0.1171  0.0084  0.0381  0.0390  0.0173  0.02
Rachmaninoff 1923   64  0.2215  0.0156  0.0558  0.0585  0.0252  0.03
Rangell 2001   26  0.3629  0.0022  0.0817  0.4156  0.0517  0.14
Richter 1976   63  0.2212  0.0247  0.0552  0.0531  0.1532  0.09
Rosen 1989   70  0.1944  0.0064  0.0472  0.0488  0.0263  0.03
Rosenthal 1930   50  0.2756  0.0059  0.0461  0.0490  0.0181  0.02
Rosenthal 1931   20  0.398  0.0317  0.077  0.4938  0.167  0.28
Rosenthal 1931b   23  0.3751  0.0018  0.079  0.4837  0.1410  0.26
Rosenthal 1931c   41  0.3078  0.0041  0.0541  0.1385  0.0249  0.05
Rosenthal 1931d   16  0.4047  0.0019  0.068  0.4840  0.1114  0.23
Rossi 2007   89  -0.1784  0.0088  0.0289  0.0291  0.0184  0.01
Rubinstein 1939   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1952   2  0.573  0.142  0.241  0.5817  0.472  0.52
Rubinstein 1966   1  0.671  0.211  0.214  0.5511  0.491  0.52
Schilhawsky 1960   75  0.1569  0.0078  0.0378  0.0389  0.0177  0.02
Shebanova 2002   29  0.3491  0.009  0.1326  0.3439  0.1513  0.23
Smith 1975   68  0.2064  0.0065  0.0554  0.0588  0.0253  0.03
Sokolov 2002   61  0.2348  0.0079  0.0373  0.0390  0.0172  0.02
Sztompka 1959   78  0.1155  0.0085  0.0382  0.0390  0.0176  0.02
Tomsic 1995   47  0.2845  0.0066  0.0464  0.0472  0.0357  0.03
Uninsky 1932   83  0.0083  0.0089  0.0288  0.0291  0.0188  0.01
Uninsky 1971   80  0.0938  0.0086  0.0284  0.0291  0.0186  0.01
Wasowski 1980   18  0.4043  0.0026  0.0825  0.3638  0.1215  0.21
Zak 1937   13  0.4374  0.0016  0.0823  0.3673  0.0327  0.10
Zak 1951   30  0.3479  0.0031  0.0828  0.3285  0.0328  0.10
Average   19  0.3952  0.0040  0.0639  0.1686  0.0340  0.07
Random 1   85  -0.0439  0.0052  0.0553  0.0527  0.2324  0.11
Random 2   86  -0.0453  0.0051  0.0549  0.0526  0.2323  0.11
Random 3   84  -0.0460  0.0081  0.0379  0.0387  0.0283  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).