Gierzod 1998

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   49  0.5268  0.0053  0.0654  0.064  0.5951  0.19
Anderszewski 2003   40  0.5469  0.0029  0.0628  0.3518  0.5231  0.43
Ashkenazy 1981   52  0.5141  0.0067  0.0379  0.0315  0.4473  0.11
Bacha 2000   80  0.3786  0.0083  0.0288  0.0249  0.0590  0.03
Badura 1965   71  0.4289  0.0072  0.0466  0.0427  0.3465  0.12
Barbosa 1983   20  0.617  0.0116  0.1814  0.548  0.6617  0.60
Biret 1990   37  0.5511  0.0117  0.1121  0.4710  0.5624  0.51
Blet 2003   66  0.4357  0.0077  0.0384  0.0323  0.2680  0.09
Block 1995   78  0.3825  0.0057  0.0560  0.0531  0.2866  0.12
Blumental 1952   43  0.539  0.0144  0.0843  0.1923  0.4844  0.30
Boshniakovich 1969   13  0.643  0.045  0.1811  0.603  0.7210  0.66
Brailowsky 1960   57  0.4853  0.0055  0.0848  0.0827  0.4549  0.19
Bunin 1987   63  0.4683  0.0071  0.0468  0.0431  0.2181  0.09
Bunin 1987b   65  0.4478  0.0070  0.0469  0.0432  0.2476  0.10
Chiu 1999   51  0.5158  0.0054  0.0653  0.065  0.5252  0.18
Cohen 1997   76  0.3979  0.0079  0.0470  0.0418  0.2974  0.11
Cortot 1951   87  0.2787  0.0087  0.0385  0.0354  0.0688  0.04
Csalog 1996   42  0.5477  0.0032  0.0727  0.368  0.6029  0.46
Czerny 1949   15  0.634  0.0112  0.1516  0.529  0.7018  0.60
Czerny 1990   6  0.6610  0.017  0.155  0.6311  0.746  0.68
Duchoud 2007   79  0.3865  0.0086  0.0472  0.0439  0.2778  0.10
Ezaki 2006   24  0.5932  0.0028  0.0723  0.4513  0.5625  0.50
Falvay 1989   7  0.6644  0.006  0.176  0.637  0.698  0.66
Farrell 1958   74  0.4245  0.0069  0.0475  0.0444  0.1684  0.08
Ferenczy 1958   54  0.5028  0.0064  0.0467  0.0416  0.5459  0.15
Fliere 1977   5  0.6646  0.004  0.194  0.652  0.724  0.68
Fou 1978   16  0.6247  0.0020  0.1019  0.516  0.5720  0.54
Francois 1956   68  0.4323  0.0078  0.0376  0.0330  0.2783  0.09
Friedman 1923   86  0.3243  0.0085  0.0383  0.0352  0.0589  0.04
Friedman 1923b   84  0.3474  0.0084  0.0386  0.0352  0.0687  0.04
Friedman 1930   70  0.4337  0.0061  0.0558  0.0512  0.5255  0.16
Garcia 2007   69  0.4359  0.0073  0.0559  0.0522  0.4460  0.15
Garcia 2007b   59  0.4775  0.0059  0.0471  0.0429  0.3375  0.11
Gierzod 1998   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Gornostaeva 1994   27  0.5950  0.0035  0.0626  0.394  0.6526  0.50
Groot 1988   67  0.4336  0.0058  0.0557  0.0538  0.1682  0.09
Harasiewicz 1955   3  0.715  0.013  0.353  0.813  0.823  0.81
Hatto 1993   14  0.6326  0.0010  0.169  0.626  0.727  0.67
Hatto 1997   12  0.6412  0.019  0.108  0.626  0.709  0.66
Horowitz 1949   83  0.3688  0.0082  0.0287  0.0221  0.3979  0.09
Indjic 1988   8  0.6421  0.008  0.127  0.635  0.735  0.68
Kapell 1951   28  0.5860  0.0040  0.0840  0.2318  0.5640  0.36
Kissin 1993   9  0.6470  0.0015  0.1415  0.525  0.7512  0.62
Kushner 1989   11  0.6413  0.0013  0.1112  0.609  0.6314  0.61
Luisada 1991   38  0.5580  0.0042  0.0842  0.2010  0.6041  0.35
Lushtak 2004   29  0.5834  0.0021  0.0925  0.448  0.6123  0.52
Malcuzynski 1961   41  0.5462  0.0041  0.1132  0.3422  0.4837  0.40
Magaloff 1978   32  0.5755  0.0039  0.0637  0.286  0.6432  0.42
Magin 1975   19  0.6115  0.0019  0.1117  0.522  0.7213  0.61
Michalowski 1933   88  0.2463  0.0088  0.0377  0.0329  0.2385  0.08
Milkina 1970   4  0.668  0.0111  0.2010  0.609  0.6215  0.61
Mohovich 1999   39  0.5417  0.0024  0.0733  0.3424  0.4639  0.40
Moravec 1969   35  0.5648  0.0045  0.0845  0.1615  0.5145  0.29
Morozova 2008   48  0.5364  0.0048  0.0750  0.0711  0.5748  0.20
Neighaus 1950   58  0.4751  0.0052  0.0555  0.0514  0.4957  0.16
Niedzielski 1931   82  0.3630  0.0074  0.0462  0.0418  0.3863  0.12
Ohlsson 1999   44  0.5381  0.0049  0.0846  0.087  0.5846  0.22
Osinska 1989   2  0.732  0.052  0.252  0.813  0.812  0.81
Pachmann 1927   72  0.4218  0.0081  0.0382  0.0318  0.4764  0.12
Paderewski 1930   85  0.3384  0.0080  0.0378  0.0313  0.4471  0.11
Perlemuter 1992   64  0.4566  0.0076  0.0381  0.0321  0.4069  0.11
Pierdomenico 2008   50  0.5233  0.0051  0.0651  0.0615  0.5453  0.18
Poblocka 1999   30  0.5731  0.0023  0.0834  0.3319  0.4836  0.40
Rabcewiczowa 1932   53  0.5049  0.0043  0.0741  0.2115  0.4343  0.30
Rachmaninoff 1923   73  0.4267  0.0056  0.0749  0.0724  0.4354  0.17
Rangell 2001   46  0.5329  0.0050  0.0556  0.0517  0.5156  0.16
Richter 1976   26  0.5920  0.0027  0.0631  0.347  0.6828  0.48
Rosen 1989   17  0.6235  0.0026  0.0629  0.353  0.6827  0.49
Rosenthal 1930   60  0.4656  0.0068  0.0473  0.0422  0.4761  0.14
Rosenthal 1931   75  0.4072  0.0065  0.0380  0.0326  0.3972  0.11
Rosenthal 1931b   77  0.3885  0.0075  0.0464  0.0422  0.3868  0.12
Rosenthal 1931c   61  0.4642  0.0063  0.0461  0.0419  0.4262  0.13
Rosenthal 1931d   81  0.3776  0.0066  0.0474  0.0428  0.3467  0.12
Rossi 2007   56  0.4827  0.0062  0.0465  0.046  0.5458  0.15
Rubinstein 1939   55  0.4982  0.0060  0.0463  0.0434  0.3070  0.11
Rubinstein 1952   22  0.6054  0.0030  0.0630  0.3523  0.4835  0.41
Rubinstein 1966   10  0.6419  0.0014  0.1413  0.5714  0.6516  0.61
Schilhawsky 1960   33  0.5722  0.0038  0.0644  0.1915  0.5342  0.32
Shebanova 2002   36  0.5539  0.0036  0.0639  0.277  0.6038  0.40
Smith 1975   34  0.5640  0.0037  0.0636  0.287  0.6333  0.42
Sokolov 2002   45  0.5324  0.0047  0.0652  0.064  0.6947  0.20
Sztompka 1959   31  0.5738  0.0025  0.0735  0.3315  0.5930  0.44
Tomsic 1995   47  0.5352  0.0046  0.0847  0.0817  0.4750  0.19
Uninsky 1932   62  0.4616  0.0034  0.0738  0.2716  0.6134  0.41
Uninsky 1971   18  0.616  0.0118  0.1018  0.523  0.7611  0.63
Wasowski 1980   25  0.5973  0.0022  0.0820  0.486  0.5922  0.53
Zak 1937   21  0.6061  0.0033  0.0724  0.459  0.6521  0.54
Zak 1951   23  0.6014  0.0031  0.0722  0.478  0.6719  0.56
Average   1  0.811  0.751  0.741  0.913  0.781  0.84
Random 1   91  -0.0871  0.0091  0.0191  0.0179  0.0291  0.01
Random 2   89  0.0790  0.0089  0.0289  0.028  0.4677  0.10
Random 3   90  -0.0191  0.0090  0.0290  0.0229  0.2286  0.07

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).