Rubinstein 1966

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   55  0.3929  0.0043  0.0544  0.0924  0.3750  0.18
Anderszewski 2003   4  0.572  0.192  0.302  0.781  0.861  0.82
Ashkenazy 1981   49  0.4050  0.0055  0.0663  0.0630  0.3260  0.14
Bacha 2000   52  0.4044  0.0051  0.0662  0.064  0.6646  0.20
Badura 1965   60  0.3855  0.0040  0.0542  0.119  0.5440  0.24
Barbosa 1983   5  0.565  0.076  0.194  0.721  0.814  0.76
Biret 1990   58  0.3886  0.0058  0.0751  0.0723  0.4851  0.18
Blet 2003   77  0.2973  0.0078  0.0384  0.0360  0.0487  0.03
Block 1995   37  0.4353  0.0046  0.0749  0.0719  0.5048  0.19
Blumental 1952   41  0.4226  0.0032  0.0531  0.2319  0.5031  0.34
Boshniakovich 1969   39  0.4317  0.0121  0.1320  0.4517  0.5522  0.50
Brailowsky 1960   61  0.3846  0.0065  0.0847  0.0825  0.4049  0.18
Bunin 1987   80  0.2866  0.0076  0.0380  0.0361  0.0582  0.04
Bunin 1987b   83  0.2787  0.0080  0.0378  0.0369  0.0484  0.03
Chiu 1999   43  0.4251  0.0057  0.0752  0.0743  0.1267  0.09
Cohen 1997   51  0.4052  0.0038  0.0535  0.188  0.6332  0.34
Cortot 1951   76  0.3070  0.0069  0.0386  0.0333  0.2370  0.08
Csalog 1996   46  0.4143  0.0039  0.0540  0.126  0.5439  0.25
Czerny 1949   34  0.4423  0.0028  0.0626  0.3315  0.6924  0.48
Czerny 1990   13  0.5028  0.0016  0.1513  0.5913  0.7212  0.65
Duchoud 2007   64  0.3674  0.0067  0.0469  0.0428  0.3165  0.11
Ezaki 2006   23  0.4619  0.0126  0.0727  0.2813  0.5827  0.40
Falvay 1989   16  0.4813  0.0117  0.1224  0.377  0.5026  0.43
Farrell 1958   38  0.4311  0.0119  0.1125  0.364  0.6323  0.48
Ferenczy 1958   65  0.3634  0.0062  0.0750  0.0713  0.7044  0.22
Fliere 1977   30  0.4576  0.0036  0.0630  0.2342  0.1747  0.20
Fou 1978   10  0.536  0.059  0.2412  0.613  0.7210  0.66
Francois 1956   56  0.3975  0.0041  0.0541  0.1211  0.6836  0.29
Friedman 1923   73  0.3335  0.0077  0.0383  0.0346  0.0779  0.05
Friedman 1923b   75  0.3122  0.0079  0.0379  0.0358  0.0583  0.04
Friedman 1930   78  0.2978  0.0083  0.0381  0.0374  0.0488  0.03
Garcia 2007   47  0.4139  0.0042  0.0639  0.136  0.6435  0.29
Garcia 2007b   70  0.3457  0.0027  0.0737  0.1618  0.5137  0.29
Gierzod 1998   19  0.4832  0.0020  0.1317  0.5010  0.6217  0.56
Gornostaeva 1994   33  0.4438  0.0044  0.0545  0.0913  0.5645  0.22
Groot 1988   42  0.4249  0.0030  0.0636  0.1730  0.3441  0.24
Harasiewicz 1955   6  0.5645  0.007  0.186  0.722  0.699  0.70
Hatto 1993   14  0.5041  0.0013  0.1715  0.5514  0.5418  0.54
Hatto 1997   12  0.5215  0.0111  0.1710  0.664  0.6711  0.66
Horowitz 1949   81  0.2781  0.0085  0.0376  0.0369  0.0485  0.03
Indjic 1988   17  0.4812  0.0115  0.1418  0.4918  0.5420  0.51
Kapell 1951   11  0.5210  0.0212  0.2011  0.634  0.5913  0.61
Kissin 1993   15  0.4918  0.0114  0.1514  0.5616  0.6214  0.59
Kushner 1989   3  0.574  0.074  0.197  0.716  0.698  0.70
Luisada 1991   53  0.3979  0.0060  0.0759  0.0738  0.1566  0.10
Lushtak 2004   7  0.559  0.025  0.188  0.691  0.786  0.73
Malcuzynski 1961   32  0.4427  0.0025  0.1023  0.3818  0.5025  0.44
Magaloff 1978   50  0.4067  0.0053  0.0846  0.0829  0.2859  0.15
Magin 1975   54  0.3958  0.0056  0.0848  0.0830  0.3652  0.17
Michalowski 1933   87  0.2083  0.0087  0.0468  0.0459  0.0678  0.05
Milkina 1970   9  0.537  0.048  0.225  0.723  0.795  0.75
Mohovich 1999   2  0.583  0.093  0.241  0.791  0.842  0.81
Moravec 1969   36  0.4464  0.0052  0.0756  0.0723  0.3358  0.15
Morozova 2008   22  0.4630  0.0034  0.0829  0.2322  0.4833  0.33
Neighaus 1950   44  0.4263  0.0049  0.0664  0.0614  0.4856  0.17
Niedzielski 1931   79  0.2962  0.0075  0.0372  0.0357  0.0581  0.04
Ohlsson 1999   40  0.4314  0.0150  0.0660  0.0632  0.2861  0.13
Osinska 1989   18  0.4821  0.0018  0.1416  0.5313  0.5916  0.56
Pachmann 1927   85  0.2660  0.0086  0.0371  0.0368  0.0486  0.03
Paderewski 1930   82  0.2772  0.0072  0.0467  0.0433  0.3563  0.12
Perlemuter 1992   63  0.3780  0.0066  0.0466  0.0438  0.1868  0.08
Pierdomenico 2008   68  0.3448  0.0071  0.0382  0.0330  0.2469  0.08
Poblocka 1999   28  0.4516  0.0133  0.0728  0.2714  0.5428  0.38
Rabcewiczowa 1932   31  0.4442  0.0022  0.1419  0.477  0.6815  0.57
Rachmaninoff 1923   69  0.3484  0.0063  0.0753  0.0751  0.0674  0.06
Rangell 2001   20  0.4725  0.0024  0.0922  0.433  0.6619  0.53
Richter 1976   27  0.4547  0.0048  0.0757  0.0728  0.4054  0.17
Rosen 1989   26  0.4554  0.0047  0.0665  0.0625  0.2962  0.13
Rosenthal 1930   72  0.3324  0.0082  0.0388  0.0344  0.1276  0.06
Rosenthal 1931   62  0.3840  0.0064  0.0754  0.0713  0.6943  0.22
Rosenthal 1931b   66  0.3577  0.0068  0.0470  0.0414  0.6257  0.16
Rosenthal 1931c   67  0.3582  0.0070  0.0377  0.0332  0.2471  0.08
Rosenthal 1931d   84  0.2661  0.0084  0.0374  0.0341  0.1377  0.06
Rossi 2007   86  0.2490  0.0081  0.0373  0.0320  0.3964  0.11
Rubinstein 1939   8  0.548  0.0310  0.249  0.682  0.767  0.72
Rubinstein 1952   1  0.591  0.261  0.263  0.781  0.833  0.80
Rubinstein 1966   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Schilhawsky 1960   71  0.3465  0.0074  0.0375  0.0340  0.1375  0.06
Shebanova 2002   24  0.4620  0.0031  0.0632  0.2326  0.4434  0.32
Smith 1975   48  0.4156  0.0059  0.1043  0.1017  0.5142  0.23
Sokolov 2002   74  0.3268  0.0073  0.0385  0.0354  0.0580  0.04
Sztompka 1959   35  0.4459  0.0037  0.0538  0.1520  0.4838  0.27
Tomsic 1995   45  0.4136  0.0045  0.0661  0.0612  0.4753  0.17
Uninsky 1932   57  0.3871  0.0054  0.0758  0.0723  0.4055  0.17
Uninsky 1971   21  0.4769  0.0023  0.1121  0.438  0.5821  0.50
Wasowski 1980   59  0.3833  0.0061  0.0755  0.0761  0.0573  0.06
Zak 1937   29  0.4537  0.0035  0.0634  0.2111  0.5729  0.35
Zak 1951   25  0.4631  0.0029  0.0633  0.239  0.5430  0.35
Random 1   90  -0.0989  0.0090  0.0190  0.0189  0.0190  0.01
Random 2   88  0.0385  0.0088  0.0387  0.0335  0.1872  0.07
Random 3   89  -0.0988  0.0089  0.0189  0.0172  0.0389  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).