Gierzod 1998

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   20  0.5412  0.0217  0.0820  0.2822  0.2920  0.28
Anderszewski 2003   18  0.554  0.074  0.106  0.453  0.584  0.51
Ashkenazy 1981   2  0.622  0.172  0.312  0.6212  0.482  0.55
Bacha 2000   8  0.5928  0.0120  0.099  0.411  0.653  0.52
Badura 1965   59  0.4427  0.0136  0.0444  0.0927  0.2839  0.16
Barbosa 1983   71  0.3889  0.0067  0.0377  0.0361  0.0481  0.03
Biret 1990   65  0.4283  0.0069  0.0372  0.0354  0.0486  0.03
Blet 2003   73  0.3844  0.0075  0.0469  0.0480  0.0383  0.03
Block 1995   63  0.4218  0.0166  0.0373  0.0354  0.0485  0.03
Blumental 1952   31  0.513  0.075  0.1010  0.413  0.585  0.49
Boshniakovich 1969   23  0.539  0.0231  0.0439  0.1135  0.2142  0.15
Brailowsky 1960   25  0.5341  0.0057  0.0746  0.0726  0.3140  0.15
Bunin 1987   53  0.4560  0.0071  0.0467  0.0465  0.0471  0.04
Bunin 1987b   52  0.4569  0.0070  0.0376  0.0374  0.0378  0.03
Chiu 1999   78  0.3461  0.0068  0.0371  0.0346  0.0667  0.04
Cohen 1997   70  0.3875  0.0064  0.0554  0.0520  0.3646  0.13
Cortot 1951   30  0.5111  0.029  0.0734  0.1613  0.3922  0.25
Csalog 1996   72  0.3877  0.0080  0.0283  0.0258  0.0582  0.03
Czerny 1949   26  0.5246  0.0019  0.0814  0.3719  0.489  0.42
Czerny 1990   43  0.4734  0.0037  0.0435  0.1546  0.0654  0.09
Duchoud 2007   60  0.4384  0.0061  0.0466  0.0462  0.0470  0.04
Ezaki 2006   4  0.6130  0.0113  0.074  0.4718  0.396  0.43
Falvay 1989   32  0.5110  0.0210  0.0618  0.3232  0.2021  0.25
Farrell 1958   56  0.4443  0.0078  0.0463  0.0476  0.0377  0.03
Ferenczy 1958   55  0.4448  0.0072  0.0378  0.0342  0.1159  0.06
Fliere 1977   21  0.5435  0.0045  0.0559  0.0562  0.0562  0.05
Fou 1978   46  0.4731  0.0021  0.0725  0.2244  0.1432  0.18
Francois 1956   29  0.5178  0.0026  0.0622  0.2434  0.1729  0.20
Friedman 1923   85  0.2090  0.0084  0.0375  0.0352  0.0673  0.04
Friedman 1923b   84  0.2181  0.0083  0.0285  0.0240  0.1266  0.05
Friedman 1930   75  0.3724  0.0155  0.0551  0.0525  0.3743  0.14
Garcia 2007   83  0.2166  0.0081  0.0287  0.0248  0.0684  0.03
Garcia 2007b   86  0.1467  0.0085  0.0281  0.0261  0.0487  0.03
Gierzod 1998   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Gornostaeva 1994   10  0.5815  0.0124  0.0723  0.2432  0.2323  0.23
Groot 1988   35  0.4949  0.0043  0.0540  0.1060  0.0460  0.06
Harasiewicz 1955   61  0.4363  0.0027  0.0519  0.2847  0.0549  0.12
Hatto 1993   68  0.3957  0.0040  0.0630  0.1927  0.2724  0.23
Hatto 1997   62  0.4255  0.0029  0.0624  0.2332  0.2026  0.21
Horowitz 1949   64  0.4286  0.0073  0.0379  0.0358  0.0479  0.03
Indjic 1988   69  0.3939  0.0039  0.0427  0.1933  0.2127  0.20
Kapell 1951   22  0.5325  0.0135  0.0442  0.1033  0.2933  0.17
Kissin 1993   42  0.4821  0.0122  0.0726  0.2143  0.1731  0.19
Kushner 1989   3  0.6254  0.0014  0.0811  0.4112  0.438  0.42
Luisada 1991   47  0.4650  0.0038  0.0532  0.1764  0.0552  0.09
Lushtak 2004   17  0.557  0.036  0.1012  0.4024  0.3613  0.38
Malcuzynski 1961   1  0.681  0.241  0.241  0.668  0.511  0.58
Magaloff 1978   6  0.6142  0.0012  0.077  0.4430  0.2118  0.30
Magin 1975   54  0.4437  0.0044  0.0543  0.0946  0.0658  0.07
Michalowski 1933   76  0.3664  0.0050  0.0550  0.0527  0.3545  0.13
Milkina 1970   48  0.4687  0.0062  0.0465  0.0452  0.0569  0.04
Mohovich 1999   9  0.5929  0.0116  0.0913  0.3919  0.4210  0.40
Moravec 1969   15  0.566  0.0518  0.0817  0.3411  0.4312  0.38
Morozova 2008   51  0.4522  0.0142  0.0537  0.1441  0.1147  0.12
Neighaus 1950   7  0.6082  0.0011  0.068  0.4231  0.2416  0.32
Niedzielski 1931   50  0.4545  0.0048  0.0558  0.0517  0.3244  0.13
Ohlsson 1999   5  0.6119  0.018  0.085  0.4620  0.3014  0.37
Osinska 1989   37  0.4985  0.0052  0.0553  0.0546  0.0664  0.05
Pachmann 1927   79  0.3179  0.0077  0.0370  0.0369  0.0380  0.03
Paderewski 1930   27  0.5247  0.0046  0.0562  0.0528  0.2050  0.10
Perlemuter 1992   67  0.4170  0.0054  0.0556  0.0546  0.0663  0.05
Pierdomenico 2008   74  0.3740  0.0074  0.0468  0.0453  0.0568  0.04
Poblocka 1999   13  0.575  0.077  0.0916  0.3429  0.2419  0.29
Rabcewiczowa 1932   39  0.4938  0.0051  0.0648  0.0622  0.4237  0.16
Rachmaninoff 1923   81  0.2751  0.0076  0.0374  0.0383  0.0375  0.03
Rangell 2001   38  0.4936  0.0049  0.0561  0.0557  0.0472  0.04
Richter 1976   77  0.3480  0.0079  0.0280  0.0270  0.0389  0.02
Rosen 1989   12  0.5823  0.0115  0.1115  0.3515  0.4311  0.39
Rosenthal 1930   33  0.5120  0.0156  0.0747  0.0725  0.4136  0.17
Rosenthal 1931   44  0.4717  0.0158  0.0649  0.0613  0.4935  0.17
Rosenthal 1931b   45  0.4726  0.0159  0.0845  0.089  0.5128  0.20
Rosenthal 1931c   16  0.558  0.0325  0.0729  0.1913  0.5217  0.31
Rosenthal 1931d   57  0.4458  0.0063  0.0557  0.0524  0.2748  0.12
Rossi 2007   87  0.1456  0.0086  0.0282  0.0250  0.0474  0.03
Rubinstein 1939   82  0.2671  0.0087  0.0284  0.0246  0.0676  0.03
Rubinstein 1952   58  0.4473  0.0060  0.0552  0.0545  0.0861  0.06
Rubinstein 1966   49  0.4552  0.0065  0.0464  0.0448  0.0665  0.05
Schilhawsky 1960   24  0.5353  0.0032  0.0541  0.1030  0.2638  0.16
Shebanova 2002   19  0.5476  0.0028  0.0721  0.2722  0.3915  0.32
Smith 1975   11  0.5816  0.013  0.123  0.5020  0.377  0.43
Sokolov 2002   14  0.5613  0.0133  0.0633  0.1744  0.1341  0.15
Sztompka 1959   36  0.4933  0.0047  0.0560  0.0539  0.1753  0.09
Tomsic 1995   34  0.5172  0.0034  0.0428  0.1931  0.1930  0.19
Uninsky 1932   66  0.4214  0.0130  0.0538  0.1361  0.0556  0.08
Uninsky 1971   28  0.5232  0.0023  0.0631  0.1837  0.2525  0.21
Wasowski 1980   80  0.2988  0.0082  0.0286  0.0281  0.0388  0.02
Zak 1937   40  0.4962  0.0053  0.0555  0.0540  0.1455  0.08
Zak 1951   41  0.4868  0.0041  0.0636  0.1540  0.1934  0.17
Random 1   90  -0.0474  0.0090  0.0190  0.0165  0.0390  0.02
Random 2   89  0.0365  0.0089  0.0289  0.0217  0.3257  0.08
Random 3   88  0.1059  0.0088  0.0288  0.025  0.4951  0.10

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).