Rubinstein 1939

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   67  0.3616  0.0177  0.0462  0.0463  0.0474  0.04
Anderszewski 2003   19  0.4933  0.0019  0.1119  0.4635  0.3120  0.38
Ashkenazy 1981   55  0.3922  0.0075  0.0470  0.0465  0.0385  0.03
Bacha 2000   39  0.4437  0.0039  0.0839  0.186  0.5428  0.31
Badura 1965   69  0.3551  0.0054  0.0459  0.0436  0.1952  0.09
Barbosa 1983   10  0.5242  0.0015  0.1116  0.4942  0.1630  0.28
Biret 1990   21  0.4955  0.0023  0.0923  0.4241  0.1231  0.22
Blet 2003   82  0.2649  0.0083  0.0288  0.0284  0.0387  0.02
Block 1995   68  0.3572  0.0056  0.0466  0.0444  0.1357  0.07
Blumental 1952   46  0.4273  0.0048  0.0548  0.0547  0.0760  0.06
Boshniakovich 1969   15  0.5025  0.0016  0.0917  0.4932  0.2623  0.36
Brailowsky 1960   57  0.3834  0.0042  0.0543  0.0953  0.0655  0.07
Bunin 1987   48  0.4232  0.0063  0.0465  0.0444  0.1061  0.06
Bunin 1987b   52  0.3982  0.0069  0.0552  0.0561  0.0564  0.05
Chiu 1999   73  0.3371  0.0073  0.0377  0.0367  0.0478  0.03
Cohen 1997   75  0.3287  0.0072  0.0379  0.0351  0.0575  0.04
Cortot 1951   54  0.3961  0.0028  0.0838  0.187  0.6326  0.34
Csalog 1996   58  0.3874  0.0058  0.0374  0.0371  0.0481  0.03
Czerny 1949   3  0.627  0.023  0.462  0.7013  0.683  0.69
Czerny 1990   12  0.5159  0.009  0.1714  0.5235  0.4314  0.47
Duchoud 2007   71  0.3430  0.0068  0.0469  0.0422  0.4542  0.13
Ezaki 2006   26  0.4852  0.0027  0.1025  0.3944  0.1132  0.21
Falvay 1989   41  0.4440  0.0059  0.0456  0.0476  0.0470  0.04
Farrell 1958   22  0.4957  0.007  0.187  0.599  0.654  0.62
Ferenczy 1958   80  0.2975  0.0082  0.0287  0.0284  0.0388  0.02
Fliere 1977   20  0.4981  0.0026  0.1026  0.3864  0.0538  0.14
Fou 1978   23  0.4924  0.0017  0.1115  0.4918  0.4215  0.45
Francois 1956   77  0.3183  0.0070  0.0457  0.0452  0.0577  0.04
Friedman 1923   62  0.3843  0.0053  0.0553  0.0520  0.4637  0.15
Friedman 1923b   64  0.3863  0.0052  0.0550  0.0520  0.4436  0.15
Friedman 1930   84  0.2536  0.0079  0.0458  0.0476  0.0382  0.03
Garcia 2007   72  0.3420  0.0051  0.0461  0.0425  0.4143  0.13
Garcia 2007b   44  0.4353  0.0025  0.0827  0.3519  0.4718  0.41
Gierzod 1998   17  0.4984  0.0033  0.0633  0.3062  0.0447  0.11
Gornostaeva 1994   40  0.4465  0.0045  0.0645  0.0661  0.0467  0.05
Groot 1988   61  0.3821  0.0032  0.0737  0.2054  0.0548  0.10
Harasiewicz 1955   8  0.5310  0.0113  0.159  0.5529  0.4512  0.50
Hatto 1993   27  0.4828  0.0021  0.1221  0.4333  0.2725  0.34
Hatto 1997   11  0.523  0.0211  0.1910  0.5423  0.4313  0.48
Horowitz 1949   83  0.266  0.0281  0.0285  0.0261  0.0580  0.03
Indjic 1988   18  0.4931  0.0020  0.1420  0.4530  0.3022  0.37
Kapell 1951   7  0.535  0.0212  0.1411  0.5424  0.5010  0.52
Kissin 1993   24  0.4846  0.0024  0.0924  0.4233  0.4017  0.41
Kushner 1989   5  0.5747  0.005  0.206  0.6220  0.469  0.53
Luisada 1991   65  0.3738  0.0074  0.0468  0.0469  0.0468  0.04
Lushtak 2004   37  0.4539  0.0022  0.1022  0.4236  0.2824  0.34
Malcuzynski 1961   4  0.582  0.114  0.344  0.6711  0.585  0.62
Magaloff 1978   25  0.4812  0.0130  0.0830  0.3336  0.2529  0.29
Magin 1975   31  0.4785  0.0037  0.0934  0.2749  0.0641  0.13
Michalowski 1933   86  0.1762  0.0084  0.0384  0.0335  0.1556  0.07
Milkina 1970   6  0.5714  0.016  0.185  0.6424  0.4311  0.52
Mohovich 1999   16  0.4950  0.0018  0.0918  0.4731  0.3121  0.38
Moravec 1969   42  0.4323  0.0049  0.0551  0.0549  0.0858  0.06
Morozova 2008   13  0.5135  0.0014  0.1513  0.5211  0.568  0.54
Neighaus 1950   63  0.3813  0.0165  0.0471  0.0422  0.3746  0.12
Niedzielski 1931   87  0.1667  0.0087  0.0383  0.0380  0.0379  0.03
Ohlsson 1999   49  0.4129  0.0060  0.0555  0.0563  0.0471  0.04
Osinska 1989   33  0.4677  0.0035  0.0932  0.3258  0.0639  0.14
Pachmann 1927   53  0.3960  0.0057  0.0464  0.047  0.5835  0.15
Paderewski 1930   76  0.3164  0.0064  0.0380  0.039  0.5145  0.12
Perlemuter 1992   79  0.3078  0.0085  0.0376  0.0353  0.0569  0.04
Pierdomenico 2008   66  0.3741  0.0071  0.0549  0.0533  0.3240  0.13
Poblocka 1999   28  0.4786  0.0034  0.0929  0.3346  0.1134  0.19
Rabcewiczowa 1932   14  0.5111  0.018  0.158  0.584  0.567  0.57
Rachmaninoff 1923   59  0.3817  0.0041  0.0640  0.1553  0.0550  0.09
Rangell 2001   9  0.5254  0.0010  0.2012  0.533  0.676  0.60
Richter 1976   34  0.4579  0.0044  0.0444  0.0941  0.1744  0.12
Rosen 1989   50  0.4144  0.0062  0.0473  0.0477  0.0384  0.03
Rosenthal 1930   85  0.2488  0.0086  0.0381  0.0378  0.0383  0.03
Rosenthal 1931   78  0.3189  0.0078  0.0378  0.0348  0.0572  0.04
Rosenthal 1931b   81  0.2868  0.0080  0.0382  0.0364  0.0486  0.03
Rosenthal 1931c   60  0.3819  0.0067  0.0460  0.0445  0.1062  0.06
Rosenthal 1931d   74  0.3326  0.0076  0.0375  0.0348  0.0676  0.04
Rossi 2007   70  0.3476  0.0055  0.0472  0.0434  0.2149  0.09
Rubinstein 1939   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1952   1  0.681  0.661  0.651  0.802  0.741  0.77
Rubinstein 1966   2  0.634  0.022  0.323  0.708  0.682  0.69
Schilhawsky 1960   35  0.4580  0.0036  0.0835  0.2628  0.3927  0.32
Shebanova 2002   51  0.4027  0.0066  0.0467  0.0474  0.0473  0.04
Smith 1975   47  0.4248  0.0050  0.0646  0.0651  0.0759  0.06
Sokolov 2002   43  0.4366  0.0043  0.0442  0.1026  0.4033  0.20
Sztompka 1959   29  0.479  0.0131  0.0831  0.3222  0.4819  0.39
Tomsic 1995   56  0.3945  0.0061  0.0554  0.0562  0.0565  0.05
Uninsky 1932   36  0.4518  0.0029  0.0728  0.3517  0.5716  0.45
Uninsky 1971   38  0.4556  0.0046  0.0647  0.0657  0.0566  0.05
Wasowski 1980   45  0.4358  0.0047  0.0463  0.0450  0.0663  0.05
Zak 1937   32  0.4615  0.0140  0.0641  0.1247  0.0654  0.08
Zak 1951   30  0.478  0.0138  0.0836  0.2273  0.0451  0.09
Random 1   88  0.0369  0.0088  0.0286  0.0215  0.3753  0.09
Random 2   89  -0.0470  0.0090  0.0190  0.0171  0.0389  0.02
Random 3   90  -0.0890  0.0089  0.0189  0.0162  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).