Gierzod 1998

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   13  0.745  0.075  0.127  0.535  0.547  0.53
Anderszewski 2003   29  0.6815  0.0135  0.0828  0.2913  0.4327  0.35
Ashkenazy 1981   14  0.7230  0.0013  0.098  0.527  0.5110  0.51
Bacha 2000   50  0.6026  0.0031  0.0643  0.1315  0.3639  0.22
Badura 1965   57  0.5941  0.0050  0.0551  0.0519  0.3747  0.14
Barbosa 1983   83  0.4647  0.0078  0.0375  0.0371  0.0488  0.03
Biret 1990   27  0.6885  0.0039  0.0637  0.2030  0.2541  0.22
Blet 2003   39  0.6471  0.0058  0.0459  0.0438  0.1367  0.07
Block 1995   76  0.5158  0.0069  0.0373  0.0347  0.0583  0.04
Blumental 1952   66  0.5638  0.0030  0.0738  0.1610  0.3438  0.23
Boshniakovich 1969   19  0.718  0.0329  0.0729  0.284  0.5822  0.40
Brailowsky 1960   64  0.5784  0.0075  0.0381  0.0355  0.0576  0.04
Bunin 1987   70  0.5474  0.0072  0.0372  0.0344  0.1172  0.06
Bunin 1987b   71  0.5375  0.0071  0.0378  0.0347  0.0679  0.04
Chiu 1999   81  0.4782  0.0070  0.0470  0.0451  0.0577  0.04
Cohen 1997   86  0.3979  0.0085  0.0385  0.0333  0.1471  0.06
Cortot 1951   38  0.6451  0.0048  0.0552  0.0525  0.3055  0.12
Csalog 1996   77  0.5131  0.0074  0.0465  0.0441  0.1266  0.07
Czerny 1949   5  0.781  0.191  0.191  0.664  0.621  0.64
Czerny 1990   11  0.7452  0.0012  0.0814  0.4415  0.4615  0.45
Duchoud 2007   43  0.6363  0.0052  0.0548  0.0532  0.2854  0.12
Ezaki 2006   20  0.7140  0.0038  0.0633  0.2428  0.3036  0.27
Falvay 1989   67  0.5644  0.0079  0.0384  0.0358  0.0678  0.04
Farrell 1958   34  0.6635  0.0049  0.0455  0.0428  0.2462  0.10
Ferenczy 1958   61  0.5755  0.0064  0.0460  0.0448  0.0674  0.05
Fliere 1977   1  0.8010  0.027  0.184  0.618  0.525  0.56
Fou 1978   60  0.5825  0.0132  0.0740  0.1534  0.1643  0.15
Francois 1956   28  0.6866  0.0036  0.0832  0.2514  0.4429  0.33
Friedman 1923   84  0.4687  0.0054  0.0466  0.0417  0.4052  0.13
Friedman 1923b   82  0.4677  0.0053  0.0464  0.0415  0.4351  0.13
Friedman 1930   56  0.5936  0.0043  0.0741  0.148  0.4937  0.26
Garcia 2007   68  0.5580  0.0061  0.0550  0.0521  0.3650  0.13
Garcia 2007b   79  0.4961  0.0059  0.0458  0.047  0.3856  0.12
Gierzod 1998   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Gornostaeva 1994   15  0.7270  0.0042  0.0642  0.1421  0.3440  0.22
Groot 1988   58  0.5942  0.0067  0.0469  0.0455  0.0485  0.04
Harasiewicz 1955   49  0.6137  0.0028  0.0725  0.3228  0.3132  0.31
Hatto 1993   51  0.6034  0.0024  0.0722  0.358  0.5916  0.45
Hatto 1997   42  0.6328  0.0017  0.0820  0.368  0.5219  0.43
Horowitz 1949   46  0.6278  0.0063  0.0645  0.0618  0.4442  0.16
Indjic 1988   48  0.6146  0.0023  0.0823  0.348  0.5717  0.44
Kapell 1951   17  0.7129  0.0018  0.0715  0.4219  0.3723  0.39
Kissin 1993   16  0.722  0.152  0.159  0.5010  0.529  0.51
Kushner 1989   7  0.7539  0.0019  0.0719  0.3612  0.4621  0.41
Luisada 1991   30  0.6812  0.029  0.1318  0.3916  0.4718  0.43
Lushtak 2004   41  0.6319  0.0140  0.0739  0.1641  0.1248  0.14
Malcuzynski 1961   23  0.6932  0.0045  0.0549  0.0515  0.3844  0.14
Magaloff 1978   22  0.7048  0.0033  0.0734  0.2423  0.3235  0.28
Magin 1975   36  0.6522  0.0127  0.0631  0.2512  0.3931  0.31
Michalowski 1933   55  0.5976  0.0037  0.0730  0.2812  0.4426  0.35
Milkina 1970   24  0.6916  0.0110  0.1121  0.3526  0.3228  0.33
Mohovich 1999   25  0.6859  0.0046  0.0547  0.0533  0.2461  0.11
Moravec 1969   53  0.5960  0.0066  0.0463  0.0430  0.3257  0.11
Morozova 2008   52  0.6072  0.0044  0.0644  0.1134  0.1845  0.14
Neighaus 1950   4  0.7824  0.016  0.142  0.632  0.603  0.61
Niedzielski 1931   33  0.6614  0.0120  0.0727  0.304  0.5520  0.41
Ohlsson 1999   2  0.793  0.124  0.133  0.623  0.612  0.61
Osinska 1989   8  0.7523  0.0115  0.0916  0.4110  0.5013  0.45
Pachmann 1927   78  0.5050  0.0084  0.0377  0.0334  0.1370  0.06
Paderewski 1930   35  0.6517  0.0147  0.0456  0.0410  0.3853  0.12
Perlemuter 1992   54  0.5965  0.0056  0.0380  0.0355  0.0486  0.03
Pierdomenico 2008   62  0.5768  0.0068  0.0461  0.0431  0.3259  0.11
Poblocka 1999   6  0.774  0.078  0.216  0.553  0.566  0.55
Rabcewiczowa 1932   40  0.6449  0.0055  0.0468  0.0423  0.3160  0.11
Rachmaninoff 1923   59  0.5856  0.0057  0.0462  0.0444  0.1068  0.06
Rangell 2001   72  0.5354  0.0065  0.0457  0.0451  0.0584  0.04
Richter 1976   75  0.5283  0.0073  0.0379  0.0354  0.0580  0.04
Rosen 1989   9  0.7520  0.0114  0.1210  0.507  0.558  0.52
Rosenthal 1930   37  0.6489  0.0060  0.0553  0.0516  0.4046  0.14
Rosenthal 1931   74  0.5253  0.0083  0.0383  0.0335  0.1665  0.07
Rosenthal 1931b   73  0.5343  0.0082  0.0386  0.0331  0.2063  0.08
Rosenthal 1931c   44  0.6262  0.0062  0.0554  0.0518  0.4249  0.14
Rosenthal 1931d   69  0.5481  0.0081  0.0287  0.0233  0.1773  0.06
Rossi 2007   87  0.3373  0.0087  0.0467  0.0478  0.0387  0.03
Rubinstein 1939   85  0.4545  0.0086  0.0471  0.0444  0.1164  0.07
Rubinstein 1952   80  0.4967  0.0080  0.0382  0.0346  0.0975  0.05
Rubinstein 1966   65  0.5733  0.0077  0.0376  0.0354  0.0581  0.04
Schilhawsky 1960   12  0.7421  0.0116  0.1011  0.465  0.5311  0.49
Shebanova 2002   3  0.796  0.063  0.165  0.594  0.614  0.60
Smith 1975   18  0.7157  0.0034  0.0926  0.3125  0.2733  0.29
Sokolov 2002   26  0.689  0.0241  0.0936  0.2024  0.3834  0.28
Sztompka 1959   10  0.747  0.0511  0.0912  0.4511  0.5112  0.48
Tomsic 1995   63  0.5764  0.0076  0.0374  0.0341  0.1469  0.06
Uninsky 1932   47  0.6227  0.0022  0.0735  0.2318  0.4530  0.32
Uninsky 1971   32  0.6611  0.0221  0.0824  0.3315  0.4425  0.38
Wasowski 1980   45  0.6269  0.0051  0.0646  0.0626  0.2058  0.11
Zak 1937   21  0.7018  0.0126  0.0913  0.4514  0.4514  0.45
Zak 1951   31  0.6713  0.0225  0.0717  0.4017  0.3624  0.38
Random 1   90  -0.1490  0.0090  0.0190  0.0170  0.0390  0.02
Random 2   89  -0.0786  0.0089  0.0288  0.0243  0.0882  0.04
Random 3   88  0.0088  0.0088  0.0289  0.0251  0.0589  0.03

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).