Pachmann 1927

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   16  0.4863  0.0036  0.0534  0.2478  0.0340  0.08
Anderszewski 2003   20  0.4782  0.0041  0.0640  0.1865  0.0438  0.08
Ashkenazy 1981   49  0.3956  0.0051  0.0554  0.0572  0.0358  0.04
Bacha 2000   73  0.3573  0.0069  0.0369  0.0386  0.0361  0.03
Badura 1965   35  0.4411  0.0225  0.0821  0.3871  0.0415  0.12
Barbosa 1983   85  0.2774  0.0072  0.0370  0.0383  0.0370  0.03
Biret 1990   48  0.4060  0.0056  0.0460  0.0485  0.0380  0.03
Blet 2003   83  0.3137  0.0076  0.0379  0.0367  0.0371  0.03
Block 1995   58  0.3888  0.0050  0.0457  0.0485  0.0376  0.03
Blumental 1952   71  0.3662  0.0070  0.0364  0.0373  0.0477  0.03
Boshniakovich 1969   1  0.591  0.271  0.261  0.6667  0.045  0.16
Brailowsky 1960   78  0.3375  0.0084  0.0287  0.0282  0.0383  0.02
Bunin 1987   55  0.3813  0.0147  0.0845  0.0873  0.0351  0.05
Bunin 1987b   69  0.3746  0.0046  0.0648  0.0655  0.0548  0.05
Chiu 1999   50  0.3941  0.0071  0.0551  0.0576  0.0353  0.04
Cohen 1997   87  0.2470  0.0086  0.0376  0.0379  0.0378  0.03
Cortot 1951   86  0.2666  0.0087  0.0284  0.0287  0.0288  0.02
Csalog 1996   76  0.3377  0.0054  0.0552  0.0584  0.0355  0.04
Czerny 1949   10  0.4910  0.0311  0.0816  0.4279  0.0324  0.11
Czerny 1990   12  0.4912  0.0210  0.0811  0.4774  0.049  0.14
Duchoud 2007   53  0.3820  0.0148  0.0747  0.0766  0.0546  0.06
Ezaki 2006   27  0.465  0.0426  0.0923  0.3880  0.0318  0.11
Falvay 1989   23  0.4625  0.0021  0.0822  0.3864  0.057  0.14
Farrell 1958   45  0.4178  0.0033  0.0625  0.3482  0.0327  0.10
Ferenczy 1958   57  0.3853  0.0079  0.0282  0.0257  0.0473  0.03
Fliere 1977   5  0.5143  0.0018  0.0818  0.4283  0.0319  0.11
Fou 1978   18  0.4744  0.0019  0.0917  0.4284  0.0321  0.11
Francois 1956   38  0.4361  0.0043  0.0643  0.1575  0.0345  0.07
Friedman 1923   67  0.3752  0.0077  0.0377  0.0385  0.0290  0.02
Friedman 1923b   59  0.3845  0.0074  0.0461  0.0485  0.0379  0.03
Friedman 1930   42  0.4221  0.0175  0.0374  0.0386  0.0286  0.02
Garcia 2007   60  0.3854  0.0068  0.0367  0.0375  0.0475  0.03
Garcia 2007b   54  0.3833  0.0062  0.0372  0.0377  0.0482  0.03
Gierzod 1998   3  0.5319  0.014  0.175  0.5181  0.0314  0.12
Gornostaeva 1994   4  0.5324  0.0016  0.099  0.4967  0.0317  0.12
Groot 1988   84  0.3183  0.0060  0.0462  0.0479  0.0459  0.04
Harasiewicz 1955   11  0.4942  0.0028  0.0931  0.2687  0.0334  0.09
Hatto 1993   74  0.3584  0.0064  0.0371  0.0386  0.0381  0.03
Hatto 1997   63  0.3779  0.0063  0.0459  0.0486  0.0372  0.03
Horowitz 1949   79  0.3255  0.0080  0.0286  0.0286  0.0384  0.02
Indjic 1988   66  0.3785  0.0065  0.0373  0.0385  0.0369  0.03
Kapell 1951   22  0.4639  0.0017  0.0710  0.4986  0.0228  0.10
Kissin 1993   9  0.5040  0.0012  0.0812  0.4779  0.0313  0.12
Kushner 1989   2  0.542  0.252  0.352  0.5955  0.063  0.19
Luisada 1991   44  0.4180  0.0044  0.0744  0.1369  0.0442  0.07
Lushtak 2004   29  0.4630  0.009  0.0913  0.4781  0.0316  0.12
Malcuzynski 1961   39  0.423  0.065  0.0933  0.2575  0.0333  0.09
Magaloff 1978   40  0.4238  0.0034  0.0738  0.2077  0.0336  0.08
Magin 1975   8  0.504  0.053  0.164  0.5572  0.046  0.15
Michalowski 1933   21  0.4627  0.0029  0.0829  0.2962  0.0422  0.11
Milkina 1970   14  0.4857  0.0031  0.0627  0.3186  0.0237  0.08
Mohovich 1999   43  0.4251  0.0045  0.0746  0.0783  0.0350  0.05
Moravec 1969   72  0.3628  0.0049  0.0456  0.0478  0.0362  0.03
Morozova 2008   33  0.4564  0.0023  0.1119  0.4178  0.0323  0.11
Neighaus 1950   15  0.4849  0.0039  0.0632  0.2568  0.0431  0.10
Niedzielski 1931   75  0.3376  0.0085  0.0280  0.0265  0.0467  0.03
Ohlsson 1999   37  0.4365  0.0032  0.0630  0.2954  0.0512  0.12
Osinska 1989   13  0.4818  0.0138  0.0642  0.1569  0.0435  0.08
Pachmann 1927   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Paderewski 1930   6  0.519  0.037  0.127  0.5031  0.261  0.36
Perlemuter 1992   26  0.4650  0.0055  0.0550  0.0557  0.0452  0.04
Pierdomenico 2008   32  0.456  0.038  0.1114  0.4643  0.172  0.28
Poblocka 1999   24  0.4617  0.0130  0.0626  0.3186  0.0326  0.10
Rabcewiczowa 1932   7  0.508  0.036  0.093  0.5980  0.0310  0.13
Rachmaninoff 1923   52  0.3886  0.0057  0.0463  0.0487  0.0265  0.03
Rangell 2001   70  0.3722  0.0127  0.0839  0.1880  0.0344  0.07
Richter 1976   28  0.4623  0.0040  0.0635  0.2261  0.0529  0.10
Rosen 1989   19  0.4736  0.0024  0.0924  0.3686  0.0241  0.08
Rosenthal 1930   41  0.4234  0.0053  0.0549  0.0566  0.0357  0.04
Rosenthal 1931   77  0.3329  0.0081  0.0378  0.0385  0.0285  0.02
Rosenthal 1931b   81  0.3167  0.0082  0.0281  0.0281  0.0389  0.02
Rosenthal 1931c   65  0.3789  0.0058  0.0555  0.0583  0.0360  0.04
Rosenthal 1931d   82  0.3171  0.0083  0.0283  0.0288  0.0287  0.02
Rossi 2007   68  0.3747  0.0078  0.0285  0.0272  0.0464  0.03
Rubinstein 1939   46  0.4116  0.0135  0.0637  0.2172  0.0432  0.09
Rubinstein 1952   80  0.327  0.0315  0.0928  0.2967  0.0425  0.11
Rubinstein 1966   61  0.3872  0.0059  0.0458  0.0482  0.0456  0.04
Schilhawsky 1960   25  0.4668  0.0042  0.0841  0.1684  0.0343  0.07
Shebanova 2002   30  0.4548  0.0037  0.0636  0.2282  0.0339  0.08
Smith 1975   51  0.3987  0.0066  0.0366  0.0383  0.0366  0.03
Sokolov 2002   64  0.3732  0.0020  0.0915  0.4285  0.0320  0.11
Sztompka 1959   36  0.4431  0.0052  0.0553  0.0580  0.0354  0.04
Tomsic 1995   34  0.4415  0.0122  0.0820  0.3966  0.058  0.14
Uninsky 1932   56  0.3881  0.0067  0.0365  0.0374  0.0474  0.03
Uninsky 1971   47  0.4058  0.0061  0.0375  0.0382  0.0468  0.03
Wasowski 1980   62  0.3735  0.0073  0.0368  0.0378  0.0463  0.03
Zak 1937   17  0.4726  0.0014  0.138  0.5082  0.0311  0.12
Zak 1951   31  0.4514  0.0113  0.116  0.5066  0.054  0.16
Random 1   89  -0.0859  0.0090  0.0190  0.0126  0.2349  0.05
Random 2   88  0.0090  0.0088  0.0288  0.023  0.5530  0.10
Random 3   90  -0.0969  0.0089  0.0189  0.0114  0.3347  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).