Gierzod 1998

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   48  0.5269  0.0052  0.0653  0.063  0.5950  0.19
Anderszewski 2003   39  0.5465  0.0028  0.0627  0.3517  0.5230  0.43
Ashkenazy 1981   51  0.5146  0.0066  0.0378  0.0314  0.4472  0.11
Bacha 2000   79  0.3785  0.0082  0.0287  0.0248  0.0589  0.03
Badura 1965   70  0.4288  0.0071  0.0465  0.0426  0.3464  0.12
Barbosa 1983   19  0.6110  0.0215  0.1813  0.547  0.6616  0.60
Biret 1990   36  0.5512  0.0116  0.1120  0.479  0.5623  0.51
Blet 2003   65  0.4358  0.0076  0.0383  0.0322  0.2678  0.09
Block 1995   77  0.3832  0.0056  0.0559  0.0530  0.2865  0.12
Blumental 1952   42  0.5317  0.0143  0.0842  0.1922  0.4843  0.30
Boshniakovich 1969   12  0.643  0.174  0.1810  0.602  0.729  0.66
Brailowsky 1960   56  0.4854  0.0054  0.0847  0.0826  0.4548  0.19
Bunin 1987   62  0.4682  0.0070  0.0467  0.0430  0.2180  0.09
Bunin 1987b   64  0.4478  0.0069  0.0468  0.0431  0.2475  0.10
Chiu 1999   50  0.5159  0.0053  0.0652  0.064  0.5251  0.18
Cohen 1997   75  0.3976  0.0078  0.0469  0.0417  0.2973  0.11
Cortot 1951   86  0.2786  0.0086  0.0384  0.0353  0.0786  0.05
Csalog 1996   41  0.5477  0.0031  0.0726  0.367  0.6028  0.46
Czerny 1949   14  0.638  0.0211  0.1515  0.528  0.7017  0.60
Czerny 1990   5  0.6613  0.016  0.154  0.6310  0.745  0.68
Duchoud 2007   78  0.3866  0.0085  0.0471  0.0438  0.2776  0.10
Ezaki 2006   23  0.5921  0.0027  0.0822  0.4512  0.5624  0.50
Falvay 1989   6  0.667  0.035  0.175  0.636  0.697  0.66
Farrell 1958   73  0.4234  0.0068  0.0474  0.0443  0.1683  0.08
Ferenczy 1958   53  0.5038  0.0063  0.0466  0.0415  0.5458  0.15
Fliere 1977   4  0.669  0.023  0.193  0.651  0.723  0.68
Fou 1978   15  0.6249  0.0019  0.1018  0.515  0.5719  0.54
Francois 1956   67  0.4333  0.0077  0.0375  0.0329  0.2782  0.09
Friedman 1923   85  0.3250  0.0084  0.0382  0.0351  0.0688  0.04
Friedman 1923b   83  0.3473  0.0083  0.0385  0.0351  0.0687  0.04
Friedman 1930   69  0.4345  0.0060  0.0557  0.0511  0.5255  0.16
Garcia 2007   68  0.4360  0.0072  0.0558  0.0521  0.4459  0.15
Garcia 2007b   58  0.4774  0.0058  0.0470  0.0428  0.3374  0.11
Gierzod 1998   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Gornostaeva 1994   26  0.5948  0.0034  0.0625  0.393  0.6525  0.50
Groot 1988   66  0.4342  0.0057  0.0556  0.0537  0.1681  0.09
Harasiewicz 1955   2  0.712  0.232  0.352  0.812  0.822  0.81
Hatto 1993   13  0.6316  0.019  0.168  0.625  0.726  0.67
Hatto 1997   11  0.646  0.038  0.107  0.625  0.708  0.66
Horowitz 1949   82  0.3687  0.0081  0.0286  0.0220  0.3977  0.09
Indjic 1988   7  0.644  0.057  0.126  0.634  0.734  0.68
Kapell 1951   27  0.5853  0.0039  0.0839  0.2317  0.5639  0.36
Kissin 1993   8  0.6462  0.0014  0.1414  0.524  0.7511  0.62
Kushner 1989   10  0.6418  0.0112  0.1111  0.608  0.6313  0.61
Luisada 1991   37  0.5579  0.0041  0.0841  0.209  0.6040  0.35
Lushtak 2004   28  0.5840  0.0020  0.0924  0.447  0.6122  0.52
Malcuzynski 1961   40  0.5461  0.0040  0.1131  0.3421  0.4836  0.40
Magaloff 1978   31  0.5755  0.0038  0.0636  0.285  0.6431  0.42
Magin 1975   18  0.6122  0.0018  0.1116  0.521  0.7212  0.61
Michalowski 1933   87  0.2463  0.0087  0.0376  0.0328  0.2384  0.08
Milkina 1970   3  0.665  0.0310  0.209  0.608  0.6214  0.61
Mohovich 1999   38  0.5426  0.0023  0.0832  0.3423  0.4638  0.40
Moravec 1969   34  0.5651  0.0044  0.0844  0.1614  0.5144  0.29
Morozova 2008   47  0.5364  0.0047  0.0749  0.0710  0.5747  0.20
Neighaus 1950   57  0.4744  0.0051  0.0654  0.0613  0.4954  0.17
Niedzielski 1931   81  0.3636  0.0073  0.0461  0.0417  0.3862  0.12
Ohlsson 1999   43  0.5380  0.0048  0.0845  0.086  0.5845  0.22
Osinska 1989   1  0.731  0.251  0.251  0.812  0.811  0.81
Pachmann 1927   71  0.4227  0.0080  0.0381  0.0317  0.4763  0.12
Paderewski 1930   84  0.3383  0.0079  0.0377  0.0312  0.4470  0.11
Perlemuter 1992   63  0.4567  0.0075  0.0380  0.0320  0.4068  0.11
Pierdomenico 2008   49  0.5239  0.0050  0.0650  0.0614  0.5452  0.18
Poblocka 1999   29  0.5735  0.0022  0.0833  0.3318  0.4835  0.40
Rabcewiczowa 1932   52  0.5052  0.0042  0.0740  0.2114  0.4342  0.30
Rachmaninoff 1923   72  0.4268  0.0055  0.0748  0.0723  0.4353  0.17
Rangell 2001   45  0.5328  0.0049  0.0555  0.0516  0.5156  0.16
Richter 1976   25  0.5924  0.0026  0.0630  0.346  0.6827  0.48
Rosen 1989   16  0.6229  0.0025  0.0628  0.352  0.6826  0.49
Rosenthal 1930   59  0.4657  0.0067  0.0472  0.0421  0.4760  0.14
Rosenthal 1931   74  0.4071  0.0064  0.0379  0.0325  0.3971  0.11
Rosenthal 1931b   76  0.3884  0.0074  0.0463  0.0421  0.3867  0.12
Rosenthal 1931c   60  0.4641  0.0062  0.0460  0.0418  0.4261  0.13
Rosenthal 1931d   80  0.3775  0.0065  0.0473  0.0427  0.3466  0.12
Rossi 2007   55  0.4837  0.0061  0.0464  0.045  0.5457  0.15
Rubinstein 1939   54  0.4981  0.0059  0.0462  0.0433  0.3069  0.11
Rubinstein 1952   21  0.6056  0.0029  0.0629  0.3522  0.4834  0.41
Rubinstein 1966   9  0.6414  0.0113  0.1412  0.5713  0.6515  0.61
Schilhawsky 1960   32  0.5730  0.0037  0.0643  0.1914  0.5341  0.32
Shebanova 2002   35  0.5523  0.0035  0.0638  0.276  0.6037  0.40
Smith 1975   33  0.5619  0.0036  0.0635  0.286  0.6332  0.42
Sokolov 2002   44  0.5331  0.0046  0.0651  0.063  0.6946  0.20
Sztompka 1959   30  0.5743  0.0024  0.0734  0.3314  0.5929  0.44
Tomsic 1995   46  0.5325  0.0045  0.0846  0.0816  0.4749  0.19
Uninsky 1932   61  0.4615  0.0133  0.0737  0.2715  0.6133  0.41
Uninsky 1971   17  0.6111  0.0117  0.1017  0.522  0.7610  0.63
Wasowski 1980   24  0.5972  0.0021  0.0819  0.485  0.5921  0.53
Zak 1937   20  0.6047  0.0032  0.0723  0.458  0.6520  0.54
Zak 1951   22  0.6020  0.0030  0.0721  0.477  0.6718  0.56
Random 1   90  -0.0870  0.0090  0.0190  0.0178  0.0290  0.01
Random 2   88  0.0789  0.0088  0.0288  0.029  0.4579  0.09
Random 3   89  -0.0190  0.0089  0.0289  0.0229  0.2085  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).