Pachmann 1927

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   17  0.4864  0.0037  0.0535  0.2479  0.0341  0.08
Anderszewski 2003   21  0.4783  0.0042  0.0641  0.1866  0.0439  0.08
Ashkenazy 1981   50  0.3957  0.0052  0.0555  0.0573  0.0359  0.04
Bacha 2000   74  0.3574  0.0070  0.0370  0.0387  0.0361  0.03
Badura 1965   36  0.4411  0.0226  0.0822  0.3872  0.0416  0.12
Barbosa 1983   86  0.2775  0.0073  0.0371  0.0384  0.0370  0.03
Biret 1990   49  0.4061  0.0057  0.0461  0.0486  0.0380  0.03
Blet 2003   84  0.3138  0.0077  0.0380  0.0368  0.0371  0.03
Block 1995   59  0.3889  0.0051  0.0458  0.0486  0.0376  0.03
Blumental 1952   72  0.3663  0.0071  0.0365  0.0374  0.0477  0.03
Boshniakovich 1969   1  0.591  0.261  0.251  0.6668  0.046  0.16
Brailowsky 1960   79  0.3376  0.0085  0.0288  0.0283  0.0384  0.02
Bunin 1987   56  0.3813  0.0148  0.0846  0.0874  0.0352  0.05
Bunin 1987b   70  0.3747  0.0047  0.0649  0.0656  0.0549  0.05
Chiu 1999   51  0.3942  0.0072  0.0552  0.0577  0.0354  0.04
Cohen 1997   88  0.2471  0.0087  0.0377  0.0380  0.0378  0.03
Cortot 1951   87  0.2667  0.0088  0.0285  0.0288  0.0289  0.02
Csalog 1996   77  0.3378  0.0055  0.0553  0.0585  0.0356  0.04
Czerny 1949   11  0.4910  0.0312  0.0817  0.4280  0.0324  0.11
Czerny 1990   13  0.4912  0.0211  0.0812  0.4775  0.049  0.14
Duchoud 2007   54  0.3820  0.0149  0.0748  0.0767  0.0547  0.06
Ezaki 2006   28  0.465  0.0427  0.0924  0.3881  0.0319  0.11
Falvay 1989   24  0.4626  0.0022  0.0823  0.3865  0.057  0.14
Farrell 1958   46  0.4179  0.0034  0.0626  0.3483  0.0327  0.10
Ferenczy 1958   58  0.3854  0.0080  0.0283  0.0258  0.0473  0.03
Fliere 1977   6  0.5146  0.0019  0.0819  0.4284  0.0320  0.11
Fou 1978   19  0.4744  0.0020  0.0918  0.4285  0.0321  0.11
Francois 1956   39  0.4362  0.0044  0.0644  0.1576  0.0346  0.07
Friedman 1923   68  0.3753  0.0078  0.0378  0.0386  0.0291  0.02
Friedman 1923b   60  0.3845  0.0075  0.0462  0.0486  0.0379  0.03
Friedman 1930   43  0.4221  0.0176  0.0375  0.0387  0.0287  0.02
Garcia 2007   61  0.3855  0.0069  0.0368  0.0376  0.0475  0.03
Garcia 2007b   55  0.3834  0.0063  0.0373  0.0378  0.0483  0.03
Gierzod 1998   4  0.5319  0.015  0.176  0.5182  0.0315  0.12
Gornostaeva 1994   5  0.5325  0.0017  0.0910  0.4968  0.0318  0.12
Groot 1988   85  0.3184  0.0061  0.0463  0.0480  0.0460  0.04
Harasiewicz 1955   12  0.4943  0.0029  0.0932  0.2688  0.0334  0.09
Hatto 1993   75  0.3585  0.0065  0.0372  0.0387  0.0381  0.03
Hatto 1997   64  0.3780  0.0064  0.0460  0.0487  0.0372  0.03
Horowitz 1949   80  0.3256  0.0081  0.0287  0.0287  0.0385  0.02
Indjic 1988   67  0.3786  0.0066  0.0374  0.0386  0.0369  0.03
Kapell 1951   23  0.4640  0.0018  0.0711  0.4987  0.0228  0.10
Kissin 1993   10  0.5041  0.0013  0.0813  0.4780  0.0314  0.12
Kushner 1989   3  0.542  0.252  0.303  0.5956  0.053  0.17
Luisada 1991   45  0.4181  0.0045  0.0745  0.1370  0.0443  0.07
Lushtak 2004   30  0.4631  0.0010  0.0914  0.4782  0.0317  0.12
Malcuzynski 1961   40  0.423  0.066  0.0934  0.2576  0.0333  0.09
Magaloff 1978   41  0.4239  0.0035  0.0739  0.2078  0.0336  0.08
Magin 1975   9  0.504  0.053  0.145  0.5573  0.0310  0.13
Michalowski 1933   22  0.4628  0.0030  0.0830  0.2963  0.0422  0.11
Milkina 1970   15  0.4858  0.0032  0.0628  0.3187  0.0238  0.08
Mohovich 1999   44  0.4252  0.0046  0.0747  0.0784  0.0351  0.05
Moravec 1969   73  0.3629  0.0050  0.0457  0.0479  0.0362  0.03
Morozova 2008   34  0.4565  0.0024  0.1120  0.4179  0.0323  0.11
Neighaus 1950   16  0.4850  0.0040  0.0633  0.2569  0.0431  0.10
Niedzielski 1931   76  0.3377  0.0086  0.0281  0.0266  0.0467  0.03
Ohlsson 1999   38  0.4366  0.0033  0.0631  0.2955  0.0513  0.12
Osinska 1989   14  0.4824  0.0039  0.0643  0.1570  0.0435  0.08
Pachmann 1927   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Paderewski 1930   7  0.519  0.038  0.128  0.5032  0.261  0.36
Perlemuter 1992   27  0.4651  0.0056  0.0551  0.0558  0.0453  0.04
Pierdomenico 2008   33  0.456  0.039  0.1115  0.4644  0.172  0.28
Poblocka 1999   25  0.4618  0.0131  0.0527  0.3187  0.0326  0.10
Rabcewiczowa 1932   8  0.508  0.037  0.094  0.5981  0.0311  0.13
Rachmaninoff 1923   53  0.3887  0.0058  0.0464  0.0488  0.0265  0.03
Rangell 2001   71  0.3722  0.0128  0.0840  0.1881  0.0345  0.07
Richter 1976   29  0.4623  0.0041  0.0636  0.2262  0.0529  0.10
Rosen 1989   20  0.4737  0.0025  0.0925  0.3687  0.0242  0.08
Rosenthal 1930   42  0.4235  0.0054  0.0550  0.0567  0.0358  0.04
Rosenthal 1931   78  0.3330  0.0082  0.0379  0.0386  0.0286  0.02
Rosenthal 1931b   82  0.3168  0.0083  0.0282  0.0282  0.0390  0.02
Rosenthal 1931c   66  0.3790  0.0059  0.0556  0.0584  0.0282  0.03
Rosenthal 1931d   83  0.3172  0.0084  0.0284  0.0289  0.0288  0.02
Rossi 2007   69  0.3748  0.0079  0.0286  0.0273  0.0464  0.03
Rubinstein 1939   47  0.4117  0.0136  0.0638  0.2173  0.0337  0.08
Rubinstein 1952   81  0.327  0.0316  0.0929  0.2968  0.0425  0.11
Rubinstein 1966   62  0.3873  0.0060  0.0459  0.0483  0.0457  0.04
Schilhawsky 1960   26  0.4669  0.0043  0.0742  0.1685  0.0344  0.07
Shebanova 2002   31  0.4549  0.0038  0.0637  0.2283  0.0340  0.08
Smith 1975   52  0.3988  0.0067  0.0367  0.0384  0.0366  0.03
Sokolov 2002   65  0.3733  0.0021  0.0916  0.4286  0.0232  0.09
Sztompka 1959   37  0.4432  0.0053  0.0554  0.0581  0.0355  0.04
Tomsic 1995   35  0.4416  0.0123  0.0821  0.3967  0.058  0.14
Uninsky 1932   57  0.3882  0.0068  0.0366  0.0375  0.0474  0.03
Uninsky 1971   48  0.4060  0.0062  0.0376  0.0383  0.0468  0.03
Wasowski 1980   63  0.3736  0.0074  0.0369  0.0379  0.0463  0.03
Zak 1937   18  0.4727  0.0015  0.139  0.5083  0.0312  0.12
Zak 1951   32  0.4514  0.0114  0.117  0.5067  0.054  0.16
Average   2  0.5815  0.014  0.142  0.6166  0.045  0.16
Random 1   90  -0.0859  0.0091  0.0191  0.0125  0.2450  0.05
Random 2   89  0.0091  0.0089  0.0289  0.024  0.5530  0.10
Random 3   91  -0.0970  0.0090  0.0190  0.0114  0.3448  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).