Osinska 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   21  0.5760  0.0035  0.0529  0.2140  0.1133  0.15
Anderszewski 2003   74  0.3552  0.0073  0.0465  0.0466  0.0382  0.03
Ashkenazy 1981   55  0.4582  0.0054  0.0560  0.0565  0.0475  0.04
Bacha 2000   70  0.3783  0.0065  0.0475  0.0444  0.1249  0.07
Badura 1965   65  0.4273  0.0059  0.0471  0.0444  0.0952  0.06
Barbosa 1983   66  0.4161  0.0058  0.0474  0.0445  0.0571  0.04
Biret 1990   3  0.691  0.311  0.313  0.771  0.781  0.77
Blet 2003   54  0.4674  0.0062  0.0477  0.0446  0.0660  0.05
Block 1995   25  0.5617  0.0123  0.0626  0.2219  0.3423  0.27
Blumental 1952   73  0.3684  0.0053  0.0649  0.0643  0.1047  0.08
Boshniakovich 1969   16  0.5829  0.0024  0.0721  0.2822  0.4314  0.35
Brailowsky 1960   48  0.4869  0.0064  0.0466  0.0472  0.0466  0.04
Bunin 1987   68  0.3958  0.0078  0.0383  0.0376  0.0385  0.03
Bunin 1987b   67  0.3955  0.0079  0.0559  0.0580  0.0369  0.04
Chiu 1999   62  0.4342  0.0055  0.0556  0.0553  0.0554  0.05
Cohen 1997   60  0.439  0.0232  0.0641  0.128  0.5026  0.24
Cortot 1951   10  0.617  0.029  0.1810  0.484  0.588  0.53
Csalog 1996   33  0.5328  0.0034  0.0634  0.1611  0.5318  0.29
Czerny 1949   4  0.6621  0.006  0.164  0.627  0.674  0.64
Czerny 1990   28  0.5575  0.0041  0.0539  0.1252  0.0548  0.08
Duchoud 2007   45  0.4853  0.0044  0.0737  0.1368  0.0451  0.07
Ezaki 2006   18  0.5818  0.0118  0.1015  0.3946  0.0730  0.17
Falvay 1989   22  0.5620  0.0020  0.0716  0.3627  0.2219  0.28
Farrell 1958   40  0.4940  0.0027  0.0733  0.179  0.4620  0.28
Ferenczy 1958   49  0.4715  0.0129  0.0643  0.1127  0.2732  0.17
Fliere 1977   9  0.6125  0.0021  0.0717  0.3453  0.0634  0.14
Fou 1978   52  0.4665  0.0039  0.0538  0.1252  0.0643  0.08
Francois 1956   8  0.6313  0.017  0.186  0.598  0.556  0.57
Friedman 1923   86  0.1556  0.0083  0.0385  0.0372  0.0488  0.03
Friedman 1923b   85  0.1646  0.0082  0.0384  0.0359  0.0576  0.04
Friedman 1930   79  0.2949  0.0070  0.0382  0.0367  0.0483  0.03
Garcia 2007   82  0.2470  0.0081  0.0381  0.0378  0.0384  0.03
Garcia 2007b   87  0.1154  0.0087  0.0288  0.0286  0.0289  0.02
Gierzod 1998   42  0.4957  0.0051  0.0646  0.0653  0.0562  0.05
Gornostaeva 1994   1  0.722  0.173  0.272  0.782  0.703  0.74
Groot 1988   24  0.5659  0.0047  0.0647  0.0655  0.0464  0.05
Harasiewicz 1955   38  0.508  0.0215  0.0819  0.3335  0.1924  0.25
Hatto 1993   83  0.2162  0.0077  0.0472  0.0480  0.0386  0.03
Hatto 1997   78  0.2937  0.0049  0.0558  0.0572  0.0372  0.04
Horowitz 1949   61  0.4332  0.0068  0.0648  0.0668  0.0457  0.05
Indjic 1988   84  0.2066  0.0076  0.0479  0.0475  0.0380  0.03
Kapell 1951   27  0.5685  0.0043  0.0636  0.1444  0.1136  0.12
Kissin 1993   32  0.5376  0.0046  0.0554  0.0553  0.0559  0.05
Kushner 1989   19  0.5744  0.0036  0.0630  0.2135  0.1828  0.19
Luisada 1991   47  0.4835  0.0028  0.0625  0.2359  0.0538  0.11
Lushtak 2004   50  0.4738  0.0030  0.0635  0.1547  0.0642  0.09
Malcuzynski 1961   14  0.5851  0.0022  0.0723  0.2552  0.0539  0.11
Magaloff 1978   6  0.6411  0.0212  0.108  0.5234  0.1817  0.31
Magin 1975   72  0.3736  0.0075  0.0562  0.0567  0.0368  0.04
Michalowski 1933   59  0.4323  0.0045  0.0745  0.0743  0.1440  0.10
Milkina 1970   30  0.556  0.0310  0.1012  0.4712  0.4311  0.45
Mohovich 1999   15  0.5833  0.0026  0.0824  0.2428  0.2525  0.24
Moravec 1969   17  0.5819  0.0019  0.0720  0.3013  0.4213  0.35
Morozova 2008   43  0.4986  0.0037  0.0532  0.1743  0.0837  0.12
Neighaus 1950   12  0.6014  0.015  0.187  0.5625  0.3710  0.46
Niedzielski 1931   71  0.3763  0.0084  0.0386  0.0359  0.0478  0.03
Ohlsson 1999   23  0.5641  0.0033  0.0622  0.2740  0.1229  0.18
Osinska 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Pachmann 1927   69  0.3843  0.0067  0.0561  0.0560  0.0470  0.04
Paderewski 1930   20  0.5731  0.0017  0.0918  0.3420  0.3415  0.34
Perlemuter 1992   51  0.4727  0.0060  0.0563  0.0558  0.0465  0.04
Pierdomenico 2008   36  0.5167  0.0056  0.0557  0.0539  0.1841  0.09
Poblocka 1999   11  0.6047  0.0016  0.0914  0.4130  0.2316  0.31
Rabcewiczowa 1932   5  0.6512  0.018  0.169  0.502  0.725  0.60
Rachmaninoff 1923   75  0.3377  0.0072  0.0473  0.0461  0.0467  0.04
Rangell 2001   34  0.5316  0.0125  0.0628  0.2234  0.2027  0.21
Richter 1976   57  0.4430  0.0069  0.0469  0.0469  0.0379  0.03
Rosen 1989   2  0.703  0.162  0.331  0.783  0.722  0.75
Rosenthal 1930   63  0.4287  0.0071  0.0478  0.0468  0.0474  0.04
Rosenthal 1931   81  0.2588  0.0086  0.0476  0.0483  0.0281  0.03
Rosenthal 1931b   80  0.2589  0.0085  0.0480  0.0473  0.0387  0.03
Rosenthal 1931c   56  0.4578  0.0063  0.0468  0.0456  0.0477  0.04
Rosenthal 1931d   76  0.3279  0.0080  0.0470  0.0445  0.0663  0.05
Rossi 2007   53  0.4622  0.0042  0.0440  0.122  0.6122  0.27
Rubinstein 1939   77  0.3068  0.0074  0.0464  0.0422  0.3635  0.12
Rubinstein 1952   13  0.5810  0.0211  0.0913  0.4311  0.519  0.47
Rubinstein 1966   31  0.5539  0.0013  0.1011  0.4714  0.4412  0.45
Schilhawsky 1960   58  0.4448  0.0061  0.0652  0.0658  0.0561  0.05
Shebanova 2002   35  0.5264  0.0048  0.0651  0.0646  0.0850  0.07
Smith 1975   7  0.645  0.054  0.265  0.609  0.497  0.54
Sokolov 2002   26  0.564  0.0514  0.0927  0.2243  0.1331  0.17
Sztompka 1959   39  0.5090  0.0057  0.0650  0.0664  0.0458  0.05
Tomsic 1995   41  0.4971  0.0052  0.0555  0.0548  0.0556  0.05
Uninsky 1932   64  0.4234  0.0066  0.0467  0.0473  0.0473  0.04
Uninsky 1971   37  0.5026  0.0031  0.0644  0.1051  0.0645  0.08
Wasowski 1980   29  0.5524  0.0038  0.0731  0.2015  0.3721  0.27
Zak 1937   46  0.4880  0.0050  0.0653  0.0652  0.0555  0.05
Zak 1951   44  0.4945  0.0040  0.0542  0.1249  0.0644  0.08
Random 1   90  -0.1072  0.0090  0.0190  0.0186  0.0290  0.01
Random 2   89  0.0181  0.0088  0.0287  0.0220  0.3146  0.08
Random 3   88  0.0150  0.0089  0.0289  0.0237  0.1753  0.06

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).