Rubinstein 1966

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   8  0.5847  0.0017  0.0919  0.4130  0.1722  0.26
Anderszewski 2003   51  0.4414  0.0153  0.0563  0.0563  0.0367  0.04
Ashkenazy 1981   43  0.4750  0.0034  0.0537  0.2060  0.0444  0.09
Bacha 2000   27  0.5137  0.0043  0.0543  0.1024  0.4026  0.20
Badura 1965   56  0.4240  0.0021  0.1122  0.3911  0.4511  0.42
Barbosa 1983   20  0.543  0.055  0.206  0.555  0.565  0.55
Biret 1990   42  0.4870  0.0051  0.0564  0.0568  0.0471  0.04
Blet 2003   23  0.5360  0.0028  0.0627  0.3245  0.0731  0.15
Block 1995   60  0.4155  0.0050  0.0566  0.0562  0.0469  0.04
Blumental 1952   73  0.3620  0.0068  0.0560  0.0569  0.0470  0.04
Boshniakovich 1969   40  0.4831  0.0012  0.0916  0.4224  0.3814  0.40
Brailowsky 1960   41  0.489  0.0145  0.0468  0.0440  0.1145  0.07
Bunin 1987   66  0.3987  0.0074  0.0379  0.0371  0.0483  0.03
Bunin 1987b   64  0.3988  0.0073  0.0475  0.0468  0.0378  0.03
Chiu 1999   61  0.4158  0.0039  0.0836  0.2148  0.0539  0.10
Cohen 1997   75  0.3544  0.0035  0.0639  0.1430  0.2629  0.19
Cortot 1951   69  0.3866  0.0077  0.0383  0.0371  0.0384  0.03
Csalog 1996   24  0.5318  0.0136  0.0931  0.2917  0.4716  0.37
Czerny 1949   58  0.4256  0.0055  0.0654  0.0654  0.0556  0.05
Czerny 1990   32  0.5048  0.0042  0.0542  0.1064  0.0451  0.06
Duchoud 2007   36  0.4945  0.0062  0.0745  0.0764  0.0458  0.05
Ezaki 2006   22  0.5452  0.0029  0.0826  0.3240  0.1128  0.19
Falvay 1989   10  0.5634  0.0018  0.0815  0.4335  0.1720  0.27
Farrell 1958   39  0.4821  0.0046  0.0469  0.0442  0.1347  0.07
Ferenczy 1958   37  0.4919  0.0159  0.0657  0.0638  0.1443  0.09
Fliere 1977   15  0.5582  0.0020  0.1420  0.4156  0.0532  0.14
Fou 1978   4  0.651  0.461  0.462  0.682  0.613  0.64
Francois 1956   30  0.5038  0.0030  0.0634  0.2550  0.0538  0.11
Friedman 1923   85  0.0383  0.0087  0.0288  0.0287  0.0289  0.02
Friedman 1923b   86  0.0386  0.0088  0.0287  0.0285  0.0287  0.02
Friedman 1930   84  0.0971  0.0083  0.0286  0.0280  0.0385  0.02
Garcia 2007   81  0.288  0.0176  0.0377  0.0342  0.1150  0.06
Garcia 2007b   83  0.0979  0.0084  0.0384  0.0378  0.0288  0.02
Gierzod 1998   48  0.4580  0.0057  0.0648  0.0664  0.0457  0.05
Gornostaeva 1994   21  0.5428  0.0019  0.097  0.5130  0.2418  0.35
Groot 1988   7  0.5975  0.0014  0.0811  0.4638  0.1919  0.30
Harasiewicz 1955   76  0.3442  0.0026  0.0728  0.3156  0.0437  0.11
Hatto 1993   52  0.4415  0.0131  0.0729  0.3038  0.1625  0.22
Hatto 1997   34  0.507  0.0124  0.0723  0.3731  0.2021  0.27
Horowitz 1949   63  0.4184  0.0047  0.0559  0.0540  0.0948  0.07
Indjic 1988   50  0.4525  0.0032  0.1032  0.2839  0.1527  0.20
Kapell 1951   38  0.4851  0.0064  0.0655  0.0681  0.0364  0.04
Kissin 1993   9  0.5711  0.0110  0.138  0.5021  0.359  0.42
Kushner 1989   16  0.5549  0.0022  0.0921  0.4041  0.1324  0.23
Luisada 1991   14  0.5510  0.019  0.149  0.5025  0.3312  0.41
Lushtak 2004   35  0.4953  0.0025  0.0725  0.3356  0.0534  0.13
Malcuzynski 1961   25  0.5326  0.0056  0.0746  0.0769  0.0454  0.05
Magaloff 1978   45  0.4741  0.0058  0.0649  0.0667  0.0363  0.04
Magin 1975   71  0.3657  0.0069  0.0473  0.0474  0.0377  0.03
Michalowski 1933   82  0.1678  0.0082  0.0558  0.0564  0.0466  0.04
Milkina 1970   3  0.665  0.024  0.254  0.643  0.594  0.61
Mohovich 1999   2  0.682  0.233  0.391  0.752  0.671  0.71
Moravec 1969   28  0.5136  0.0054  0.0565  0.0565  0.0461  0.04
Morozova 2008   33  0.5046  0.0023  0.1024  0.3460  0.0435  0.12
Neighaus 1950   26  0.5229  0.0027  0.0630  0.3049  0.0733  0.14
Niedzielski 1931   77  0.3372  0.0080  0.0472  0.0482  0.0276  0.03
Ohlsson 1999   29  0.5162  0.0044  0.0544  0.0970  0.0449  0.06
Osinska 1989   18  0.5535  0.008  0.1714  0.4411  0.477  0.45
Pachmann 1927   47  0.4676  0.0037  0.0638  0.1924  0.3423  0.25
Paderewski 1930   46  0.4763  0.0060  0.0647  0.0652  0.0555  0.05
Perlemuter 1992   55  0.4367  0.0048  0.0656  0.0665  0.0452  0.05
Pierdomenico 2008   70  0.3843  0.0061  0.0652  0.0657  0.0453  0.05
Poblocka 1999   17  0.5533  0.0041  0.0640  0.1368  0.0446  0.07
Rabcewiczowa 1932   49  0.4561  0.0040  0.0541  0.1332  0.2330  0.17
Rachmaninoff 1923   80  0.2927  0.0079  0.0378  0.0374  0.0375  0.03
Rangell 2001   12  0.5616  0.0111  0.1413  0.4515  0.3813  0.41
Richter 1976   57  0.4239  0.0071  0.0470  0.0475  0.0379  0.03
Rosen 1989   31  0.5064  0.0033  0.0533  0.2851  0.0436  0.11
Rosenthal 1930   67  0.3923  0.0075  0.0380  0.0374  0.0382  0.03
Rosenthal 1931   68  0.3922  0.0052  0.0562  0.0529  0.2241  0.10
Rosenthal 1931b   74  0.3565  0.0066  0.0650  0.0646  0.0560  0.05
Rosenthal 1931c   54  0.4377  0.0065  0.0651  0.0665  0.0372  0.04
Rosenthal 1931d   72  0.3673  0.0067  0.0653  0.0648  0.0559  0.05
Rossi 2007   87  0.0281  0.0085  0.0381  0.0356  0.0374  0.03
Rubinstein 1939   6  0.6013  0.017  0.1610  0.493  0.586  0.53
Rubinstein 1952   1  0.684  0.042  0.303  0.671  0.632  0.65
Rubinstein 1966   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Schilhawsky 1960   78  0.3359  0.0078  0.0385  0.0368  0.0381  0.03
Shebanova 2002   11  0.5674  0.0013  0.0912  0.4521  0.3910  0.42
Smith 1975   44  0.4730  0.0038  0.0635  0.2476  0.0440  0.10
Sokolov 2002   65  0.3954  0.0081  0.0476  0.0476  0.0373  0.03
Sztompka 1959   53  0.4469  0.0063  0.0561  0.0565  0.0465  0.04
Tomsic 1995   5  0.626  0.026  0.185  0.6118  0.318  0.43
Uninsky 1932   79  0.3368  0.0072  0.0382  0.0366  0.0568  0.04
Uninsky 1971   59  0.4224  0.0070  0.0471  0.0476  0.0380  0.03
Wasowski 1980   62  0.4185  0.0049  0.0467  0.0460  0.0562  0.04
Zak 1937   13  0.5617  0.0116  0.1217  0.4228  0.3215  0.37
Zak 1951   19  0.5412  0.0115  0.0818  0.4129  0.3017  0.35
Random 1   90  -0.0789  0.0089  0.0189  0.0173  0.0386  0.02
Random 2   88  0.0032  0.0086  0.0474  0.0425  0.2342  0.10
Random 3   89  -0.0490  0.0090  0.0190  0.0181  0.0290  0.01

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).