Ohlsson 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   7  0.7615  0.018  0.187  0.5417  0.4011  0.46
Anderszewski 2003   10  0.7510  0.0116  0.0826  0.3012  0.3325  0.31
Ashkenazy 1981   9  0.7624  0.0111  0.1010  0.484  0.528  0.50
Bacha 2000   40  0.6569  0.0059  0.0745  0.0724  0.2144  0.12
Badura 1965   42  0.6470  0.0044  0.0644  0.1128  0.4133  0.21
Barbosa 1983   76  0.4613  0.0171  0.0380  0.0347  0.0769  0.05
Biret 1990   51  0.6278  0.0061  0.0469  0.0468  0.0480  0.04
Blet 2003   64  0.5473  0.0064  0.0471  0.0443  0.0965  0.06
Block 1995   73  0.5079  0.0053  0.0560  0.0530  0.1756  0.09
Blumental 1952   70  0.5088  0.0073  0.0473  0.0456  0.0478  0.04
Boshniakovich 1969   14  0.7146  0.0023  0.0719  0.3823  0.4216  0.40
Brailowsky 1960   46  0.6376  0.0063  0.0462  0.0439  0.1461  0.07
Bunin 1987   68  0.5244  0.0050  0.0468  0.0416  0.4543  0.13
Bunin 1987b   69  0.5151  0.0049  0.0465  0.0416  0.4542  0.13
Chiu 1999   57  0.5775  0.0036  0.0641  0.1332  0.2136  0.17
Cohen 1997   84  0.3845  0.0080  0.0383  0.0353  0.0579  0.04
Cortot 1951   54  0.5889  0.0048  0.0461  0.0435  0.1660  0.08
Csalog 1996   86  0.3332  0.0069  0.0387  0.0370  0.0388  0.03
Czerny 1949   17  0.7185  0.0017  0.0518  0.3828  0.3918  0.38
Czerny 1990   31  0.679  0.0137  0.0543  0.1156  0.0462  0.07
Duchoud 2007   11  0.7417  0.019  0.148  0.541  0.683  0.61
Ezaki 2006   41  0.6433  0.0055  0.0552  0.0561  0.0472  0.04
Falvay 1989   83  0.3934  0.0081  0.0381  0.0369  0.0485  0.03
Farrell 1958   44  0.6427  0.0115  0.0842  0.1350  0.0655  0.09
Ferenczy 1958   72  0.5082  0.0072  0.0379  0.0347  0.0770  0.05
Fliere 1977   4  0.814  0.074  0.156  0.5715  0.419  0.48
Fou 1978   45  0.6357  0.0042  0.0640  0.1444  0.0850  0.11
Francois 1956   52  0.6168  0.0056  0.0558  0.0533  0.2054  0.10
Friedman 1923   29  0.6866  0.0046  0.0553  0.0539  0.2849  0.12
Friedman 1923b   32  0.6765  0.0047  0.0557  0.0539  0.2847  0.12
Friedman 1930   39  0.6531  0.0058  0.0646  0.0639  0.2646  0.12
Garcia 2007   22  0.7080  0.0025  0.0521  0.3311  0.5015  0.41
Garcia 2007b   21  0.7083  0.0014  0.1017  0.4014  0.4713  0.43
Gierzod 1998   5  0.806  0.025  0.183  0.617  0.544  0.57
Gornostaeva 1994   35  0.6620  0.0154  0.0647  0.0627  0.2051  0.11
Groot 1988   60  0.5660  0.0035  0.0736  0.1542  0.1739  0.16
Harasiewicz 1955   27  0.6819  0.0119  0.0516  0.4022  0.3222  0.36
Hatto 1993   20  0.7184  0.0032  0.1124  0.3224  0.3027  0.31
Hatto 1997   16  0.7142  0.0031  0.0923  0.3225  0.3026  0.31
Horowitz 1949   49  0.6286  0.0051  0.0648  0.0629  0.4040  0.15
Indjic 1988   13  0.7250  0.0030  0.0622  0.3325  0.3024  0.31
Kapell 1951   53  0.6156  0.0024  0.0630  0.2728  0.1632  0.21
Kissin 1993   36  0.6529  0.0039  0.0831  0.2538  0.1335  0.18
Kushner 1989   8  0.7612  0.0112  0.1015  0.407  0.5310  0.46
Luisada 1991   33  0.6616  0.0140  0.0639  0.1564  0.0458  0.08
Lushtak 2004   37  0.6540  0.0043  0.0738  0.1529  0.2038  0.17
Malcuzynski 1961   74  0.4852  0.0077  0.0556  0.0551  0.0567  0.05
Magaloff 1978   59  0.5630  0.0068  0.0472  0.0462  0.0573  0.04
Magin 1975   12  0.7214  0.013  0.165  0.5810  0.506  0.54
Michalowski 1933   26  0.6961  0.0028  0.0729  0.2712  0.4820  0.36
Milkina 1970   34  0.6649  0.0052  0.0559  0.0546  0.0764  0.06
Mohovich 1999   19  0.7121  0.0133  0.0825  0.3111  0.5217  0.40
Moravec 1969   87  0.2863  0.0087  0.0377  0.0381  0.0383  0.03
Morozova 2008   28  0.6837  0.0026  0.0720  0.3721  0.3521  0.36
Neighaus 1950   1  0.842  0.112  0.292  0.652  0.622  0.63
Niedzielski 1931   55  0.5854  0.0062  0.0375  0.0352  0.0486  0.03
Ohlsson 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Osinska 1989   25  0.6935  0.0038  0.0535  0.1746  0.0652  0.10
Pachmann 1927   58  0.5755  0.0065  0.0463  0.0417  0.3545  0.12
Paderewski 1930   61  0.5674  0.0074  0.0554  0.0567  0.0375  0.04
Perlemuter 1992   47  0.6343  0.0029  0.0633  0.1933  0.2034  0.19
Pierdomenico 2008   63  0.555  0.0413  0.1034  0.175  0.4731  0.28
Poblocka 1999   48  0.6218  0.0110  0.1611  0.4616  0.4512  0.45
Rabcewiczowa 1932   66  0.5336  0.0070  0.0386  0.0380  0.0387  0.03
Rachmaninoff 1923   24  0.7072  0.0034  0.0727  0.3023  0.3128  0.30
Rangell 2001   71  0.5067  0.0066  0.0474  0.0423  0.3448  0.12
Richter 1976   67  0.5328  0.0160  0.0549  0.0526  0.4141  0.14
Rosen 1989   23  0.7064  0.0027  0.0628  0.3023  0.2830  0.29
Rosenthal 1930   75  0.4858  0.0076  0.0464  0.0441  0.0966  0.06
Rosenthal 1931   78  0.4362  0.0082  0.0384  0.0352  0.0576  0.04
Rosenthal 1931b   79  0.4387  0.0084  0.0470  0.0448  0.0671  0.05
Rosenthal 1931c   80  0.427  0.0283  0.0385  0.0356  0.0489  0.03
Rosenthal 1931d   81  0.4271  0.0085  0.0466  0.0463  0.0481  0.04
Rossi 2007   82  0.4022  0.0186  0.0378  0.0379  0.0384  0.03
Rubinstein 1939   65  0.5447  0.0075  0.0376  0.0357  0.0574  0.04
Rubinstein 1952   85  0.3623  0.0179  0.0555  0.0571  0.0482  0.04
Rubinstein 1966   50  0.6248  0.0067  0.0382  0.0350  0.0577  0.04
Schilhawsky 1960   30  0.6711  0.0118  0.0614  0.4023  0.4514  0.42
Shebanova 2002   2  0.831  0.421  0.411  0.695  0.601  0.64
Smith 1975   38  0.6553  0.0057  0.0550  0.0542  0.0863  0.06
Sokolov 2002   6  0.773  0.087  0.229  0.511  0.615  0.56
Sztompka 1959   3  0.828  0.016  0.224  0.6011  0.447  0.51
Tomsic 1995   77  0.4539  0.0078  0.0467  0.0452  0.0768  0.05
Uninsky 1932   56  0.5759  0.0041  0.0637  0.1541  0.2037  0.17
Uninsky 1971   62  0.5626  0.0120  0.0532  0.2432  0.3429  0.29
Wasowski 1980   43  0.6438  0.0045  0.0551  0.0536  0.1459  0.08
Zak 1937   15  0.7125  0.0122  0.0613  0.4119  0.2923  0.34
Zak 1951   18  0.7141  0.0021  0.0512  0.4117  0.3219  0.36
Random 1   90  -0.2690  0.0090  0.0190  0.0152  0.0490  0.02
Random 2   88  0.0377  0.0088  0.0288  0.024  0.5053  0.10
Random 3   89  -0.0381  0.0089  0.0289  0.0213  0.4557  0.09

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).