Bunin 1987

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   19  0.5941  0.0027  0.0725  0.3565  0.0435  0.12
Anderszewski 2003   40  0.5142  0.0017  0.0828  0.3145  0.0629  0.14
Ashkenazy 1981   24  0.5810  0.0022  0.0821  0.3862  0.0436  0.12
Bacha 2000   79  0.334  0.0080  0.0378  0.0372  0.0471  0.03
Badura 1965   33  0.5421  0.0013  0.1017  0.4123  0.3611  0.38
Barbosa 1983   60  0.4443  0.0054  0.0550  0.0545  0.0747  0.06
Biret 1990   57  0.4544  0.0063  0.0552  0.0583  0.0366  0.04
Blet 2003   30  0.5513  0.0042  0.0739  0.1851  0.0541  0.09
Block 1995   66  0.4017  0.0050  0.0553  0.0567  0.0362  0.04
Blumental 1952   77  0.3511  0.0070  0.0375  0.0348  0.0564  0.04
Boshniakovich 1969   20  0.5945  0.0035  0.0735  0.2340  0.1623  0.19
Brailowsky 1960   63  0.4322  0.0064  0.0379  0.0356  0.0551  0.04
Bunin 1987   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bunin 1987b   1  1.001  1.001  0.991  1.001  1.001  1.00
Chiu 1999   64  0.4246  0.0059  0.0556  0.0577  0.0352  0.04
Cohen 1997   86  0.1747  0.0086  0.0382  0.0364  0.0484  0.03
Cortot 1951   32  0.5448  0.0032  0.0633  0.2945  0.0928  0.16
Csalog 1996   82  0.3149  0.0076  0.0374  0.0385  0.0382  0.03
Czerny 1949   8  0.6430  0.007  0.126  0.5321  0.376  0.44
Czerny 1990   36  0.5331  0.0046  0.0647  0.0686  0.0286  0.03
Duchoud 2007   21  0.5915  0.0028  0.0720  0.3923  0.3413  0.36
Ezaki 2006   18  0.5950  0.0029  0.0723  0.3585  0.0339  0.10
Falvay 1989   69  0.3932  0.0081  0.0376  0.0381  0.0374  0.03
Farrell 1958   61  0.4351  0.0069  0.0463  0.0486  0.0378  0.03
Ferenczy 1958   22  0.5952  0.0033  0.0927  0.3217  0.3216  0.32
Fliere 1977   10  0.6353  0.0019  0.0915  0.4261  0.0431  0.13
Fou 1978   50  0.4854  0.0062  0.0466  0.0465  0.0455  0.04
Francois 1956   41  0.5018  0.0051  0.0551  0.0582  0.0369  0.04
Friedman 1923   72  0.3723  0.0048  0.0845  0.0820  0.3526  0.17
Friedman 1923b   71  0.3833  0.0047  0.0648  0.0624  0.3130  0.14
Friedman 1930   53  0.4755  0.0023  0.0631  0.3024  0.3614  0.33
Garcia 2007   55  0.4656  0.0056  0.0472  0.0457  0.0561  0.04
Garcia 2007b   70  0.3957  0.0058  0.0461  0.0463  0.0470  0.04
Gierzod 1998   34  0.5458  0.0044  0.0644  0.1172  0.0348  0.06
Gornostaeva 1994   42  0.5012  0.0049  0.0646  0.0683  0.0285  0.03
Groot 1988   26  0.5824  0.0015  0.0826  0.3359  0.0438  0.11
Harasiewicz 1955   16  0.6034  0.004  0.205  0.5322  0.367  0.44
Hatto 1993   56  0.4659  0.0043  0.0742  0.1658  0.0443  0.08
Hatto 1997   39  0.5260  0.0034  0.0832  0.2950  0.0534  0.12
Horowitz 1949   14  0.612  0.0021  0.0819  0.3923  0.3910  0.39
Indjic 1988   49  0.4835  0.0037  0.0637  0.1946  0.0637  0.11
Kapell 1951   6  0.655  0.0010  0.189  0.5032  0.2712  0.37
Kissin 1993   51  0.4761  0.0066  0.0459  0.0479  0.0381  0.03
Kushner 1989   48  0.4962  0.0057  0.0467  0.0479  0.0379  0.03
Luisada 1991   52  0.4763  0.0065  0.0471  0.0485  0.0373  0.03
Lushtak 2004   9  0.6464  0.008  0.114  0.5432  0.2015  0.33
Malcuzynski 1961   27  0.5725  0.0014  0.0818  0.4042  0.1121  0.21
Magaloff 1978   58  0.4519  0.0053  0.0554  0.0577  0.0353  0.04
Magin 1975   46  0.4965  0.0039  0.0643  0.1463  0.0445  0.07
Michalowski 1933   47  0.4966  0.0016  0.0811  0.4722  0.389  0.42
Milkina 1970   73  0.373  0.0079  0.0381  0.0372  0.0480  0.03
Mohovich 1999   29  0.5567  0.0040  0.0541  0.1656  0.0542  0.09
Moravec 1969   83  0.306  0.0083  0.0284  0.0260  0.0472  0.03
Morozova 2008   31  0.5436  0.0030  0.0534  0.2652  0.0440  0.10
Neighaus 1950   7  0.6468  0.009  0.1610  0.5045  0.0922  0.21
Niedzielski 1931   68  0.4069  0.0067  0.0470  0.0457  0.0454  0.04
Ohlsson 1999   28  0.5770  0.0031  0.0630  0.3048  0.0533  0.12
Osinska 1989   62  0.438  0.0071  0.0460  0.0469  0.0450  0.04
Pachmann 1927   37  0.5271  0.0041  0.0638  0.1914  0.3518  0.26
Paderewski 1930   45  0.4972  0.0052  0.0555  0.0550  0.0457  0.04
Perlemuter 1992   17  0.6037  0.0025  0.0724  0.3545  0.0825  0.17
Pierdomenico 2008   74  0.3773  0.0077  0.0473  0.0482  0.0275  0.03
Poblocka 1999   15  0.6174  0.0012  0.1014  0.4342  0.1319  0.24
Rabcewiczowa 1932   59  0.4575  0.0060  0.0464  0.0487  0.0277  0.03
Rachmaninoff 1923   25  0.5820  0.0018  0.0813  0.4429  0.2017  0.30
Rangell 2001   75  0.3676  0.0073  0.0462  0.0487  0.0287  0.03
Richter 1976   5  0.6577  0.006  0.168  0.518  0.513  0.51
Rosen 1989   67  0.4026  0.0072  0.0557  0.0576  0.0363  0.04
Rosenthal 1930   38  0.5278  0.0036  0.0736  0.2026  0.2520  0.22
Rosenthal 1931   78  0.3479  0.0074  0.0377  0.0346  0.0558  0.04
Rosenthal 1931b   80  0.3380  0.0075  0.0558  0.0562  0.0467  0.04
Rosenthal 1931c   65  0.4181  0.0068  0.0468  0.0445  0.0568  0.04
Rosenthal 1931d   81  0.3282  0.0078  0.0383  0.0371  0.0488  0.03
Rossi 2007   87  0.1727  0.0087  0.0285  0.0284  0.0390  0.02
Rubinstein 1939   85  0.2916  0.0085  0.0287  0.0269  0.0476  0.03
Rubinstein 1952   84  0.3083  0.0084  0.0286  0.0260  0.0589  0.03
Rubinstein 1966   76  0.3528  0.0082  0.0380  0.0372  0.0483  0.03
Schilhawsky 1960   3  0.6914  0.002  0.283  0.5714  0.454  0.51
Shebanova 2002   54  0.4638  0.0061  0.0469  0.0450  0.0559  0.04
Smith 1975   35  0.5339  0.0038  0.0540  0.1881  0.0344  0.07
Sokolov 2002   4  0.6529  0.005  0.167  0.526  0.485  0.50
Sztompka 1959   23  0.5984  0.0026  0.0722  0.3545  0.0924  0.18
Tomsic 1995   43  0.5085  0.0055  0.0465  0.0461  0.0456  0.04
Uninsky 1932   12  0.6286  0.0011  0.1312  0.4624  0.408  0.43
Uninsky 1971   2  0.7187  0.003  0.292  0.5914  0.452  0.52
Wasowski 1980   44  0.507  0.0045  0.0649  0.0669  0.0449  0.05
Zak 1937   13  0.619  0.0024  0.0629  0.3050  0.0632  0.13
Zak 1951   11  0.6240  0.0020  0.1216  0.4253  0.0627  0.16
Random 1   89  -0.0288  0.0088  0.0188  0.015  0.5146  0.07
Random 2   90  -0.0889  0.0089  0.0189  0.0127  0.1960  0.04
Random 3   88  0.0090  0.0090  0.0190  0.0130  0.2065  0.04

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).