Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.6211  0.029  0.1012  0.5813  0.5212  0.55
Anderszewski 2003   38  0.5419  0.0121  0.0925  0.4318  0.4323  0.43
Ashkenazy 1981   48  0.5163  0.0047  0.0656  0.0647  0.0672  0.06
Bacha 2000   46  0.5258  0.0058  0.0558  0.0515  0.4843  0.15
Badura 1965   72  0.4369  0.0071  0.0376  0.0347  0.0773  0.05
Barbosa 1983   35  0.5610  0.027  0.1223  0.458  0.5720  0.51
Biret 1990   36  0.5659  0.0043  0.0643  0.1442  0.1345  0.13
Blet 2003   40  0.5420  0.0149  0.0751  0.0712  0.4441  0.18
Block 1995   26  0.5825  0.0025  0.1217  0.533  0.648  0.58
Blumental 1952   65  0.4517  0.0156  0.0655  0.0640  0.1065  0.08
Boshniakovich 1969   29  0.5826  0.0034  0.0829  0.3521  0.3928  0.37
Brailowsky 1960   8  0.637  0.0319  0.1024  0.432  0.749  0.56
Bunin 1987   58  0.4783  0.0063  0.0468  0.0454  0.0582  0.04
Bunin 1987b   60  0.4767  0.0064  0.0464  0.0444  0.1068  0.06
Chiu 1999   53  0.4955  0.0045  0.0461  0.0436  0.2356  0.10
Cohen 1997   81  0.3738  0.0084  0.0560  0.0528  0.2654  0.11
Cortot 1951   80  0.4061  0.0069  0.0287  0.0271  0.0488  0.03
Csalog 1996   52  0.5044  0.0059  0.0747  0.0720  0.4540  0.18
Czerny 1949   47  0.5254  0.0051  0.0749  0.0739  0.1653  0.11
Czerny 1990   30  0.5773  0.0033  0.0732  0.3038  0.1635  0.22
Duchoud 2007   70  0.4449  0.0062  0.0470  0.0456  0.0581  0.04
Ezaki 2006   1  0.685  0.054  0.212  0.751  0.683  0.71
Falvay 1989   10  0.6241  0.0020  0.1015  0.5410  0.5610  0.55
Farrell 1958   55  0.4864  0.0060  0.0750  0.0755  0.0667  0.06
Ferenczy 1958   43  0.5350  0.0057  0.0846  0.087  0.5038  0.20
Fliere 1977   6  0.6436  0.0015  0.1011  0.6334  0.3521  0.47
Fou 1978   13  0.6147  0.0014  0.098  0.6517  0.4416  0.53
Francois 1956   34  0.5651  0.0036  0.0830  0.3412  0.5425  0.43
Friedman 1923   86  0.2988  0.0086  0.0378  0.0354  0.0685  0.04
Friedman 1923b   87  0.2989  0.0087  0.0462  0.0472  0.0483  0.04
Friedman 1930   83  0.3479  0.0068  0.0381  0.0367  0.0579  0.04
Garcia 2007   67  0.4570  0.0054  0.0754  0.077  0.6136  0.21
Garcia 2007b   84  0.3486  0.0080  0.0466  0.0458  0.0484  0.04
Gierzod 1998   15  0.6116  0.0112  0.0920  0.4932  0.3824  0.43
Gornostaeva 1994   17  0.6122  0.0123  0.1118  0.5113  0.5518  0.53
Groot 1988   3  0.671  0.241  0.243  0.752  0.634  0.69
Harasiewicz 1955   27  0.586  0.056  0.186  0.6518  0.4514  0.54
Hatto 1993   76  0.4256  0.0031  0.1238  0.2130  0.1642  0.18
Hatto 1997   66  0.4539  0.0022  0.1134  0.2769  0.0457  0.10
Horowitz 1949   51  0.5075  0.0055  0.0657  0.0631  0.3844  0.15
Indjic 1988   74  0.4235  0.0030  0.0839  0.2135  0.1937  0.20
Kapell 1951   21  0.5933  0.0027  0.0828  0.3533  0.2532  0.30
Kissin 1993   33  0.5687  0.0035  0.0937  0.2557  0.0646  0.12
Kushner 1989   19  0.6014  0.0126  0.1421  0.4826  0.3326  0.40
Luisada 1991   20  0.5927  0.0028  0.1027  0.3825  0.3927  0.38
Lushtak 2004   23  0.5831  0.0013  0.1216  0.5413  0.5119  0.52
Malcuzynski 1961   31  0.5746  0.0038  0.0935  0.2630  0.2734  0.26
Magaloff 1978   25  0.5852  0.0037  0.0833  0.2719  0.4031  0.33
Magin 1975   49  0.5166  0.0048  0.0753  0.0748  0.0666  0.06
Michalowski 1933   85  0.3071  0.0085  0.0379  0.0361  0.0578  0.04
Milkina 1970   7  0.6413  0.0110  0.117  0.6514  0.4711  0.55
Mohovich 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Moravec 1969   59  0.4768  0.0076  0.0385  0.0346  0.0574  0.04
Morozova 2008   50  0.5181  0.0050  0.0752  0.0748  0.0670  0.06
Neighaus 1950   28  0.5842  0.0029  0.1026  0.4124  0.3030  0.35
Niedzielski 1931   75  0.4245  0.0081  0.0372  0.0358  0.0386  0.03
Ohlsson 1999   39  0.5428  0.0041  0.0741  0.1653  0.0562  0.09
Osinska 1989   14  0.6148  0.0016  0.1113  0.5712  0.5213  0.54
Pachmann 1927   56  0.4862  0.0072  0.0380  0.0321  0.3851  0.11
Paderewski 1930   79  0.4180  0.0083  0.0465  0.0464  0.0477  0.04
Perlemuter 1992   22  0.5818  0.0124  0.1222  0.473  0.6015  0.53
Pierdomenico 2008   69  0.4582  0.0066  0.0469  0.0435  0.2160  0.09
Poblocka 1999   18  0.618  0.0218  0.1019  0.4921  0.3822  0.43
Rabcewiczowa 1932   42  0.5430  0.0040  0.0936  0.2610  0.4729  0.35
Rachmaninoff 1923   54  0.4824  0.0044  0.0644  0.1139  0.1250  0.11
Rangell 2001   44  0.5353  0.0053  0.0945  0.0915  0.4239  0.19
Richter 1976   61  0.4732  0.0070  0.0377  0.0352  0.0676  0.04
Rosen 1989   5  0.654  0.095  0.305  0.664  0.645  0.65
Rosenthal 1930   64  0.4540  0.0075  0.0383  0.0332  0.2563  0.09
Rosenthal 1931   77  0.4243  0.0074  0.0384  0.0319  0.5047  0.12
Rosenthal 1931b   78  0.4177  0.0078  0.0382  0.0319  0.4548  0.12
Rosenthal 1931c   62  0.4665  0.0065  0.0373  0.0319  0.4549  0.12
Rosenthal 1931d   71  0.4360  0.0077  0.0386  0.0319  0.4255  0.11
Rossi 2007   82  0.3576  0.0082  0.0375  0.0328  0.2659  0.09
Rubinstein 1939   73  0.4290  0.0079  0.0374  0.0325  0.3061  0.09
Rubinstein 1952   12  0.6215  0.0111  0.1010  0.647  0.606  0.62
Rubinstein 1966   2  0.682  0.183  0.201  0.772  0.791  0.78
Schilhawsky 1960   63  0.4684  0.0073  0.0371  0.0364  0.0487  0.03
Shebanova 2002   32  0.5729  0.0039  0.0840  0.1673  0.0464  0.08
Smith 1975   24  0.5823  0.0032  0.0731  0.3230  0.2633  0.29
Sokolov 2002   41  0.5434  0.0046  0.0559  0.0539  0.1758  0.09
Sztompka 1959   45  0.5312  0.0252  0.0748  0.0758  0.0669  0.06
Tomsic 1995   4  0.673  0.122  0.234  0.732  0.742  0.73
Uninsky 1932   57  0.4872  0.0061  0.0463  0.0476  0.0480  0.04
Uninsky 1971   37  0.5537  0.0042  0.0742  0.1445  0.0852  0.11
Wasowski 1980   68  0.4557  0.0067  0.0467  0.0470  0.0475  0.04
Zak 1937   16  0.6121  0.0117  0.1014  0.5616  0.5017  0.53
Zak 1951   11  0.629  0.028  0.119  0.648  0.537  0.58
Random 1   90  -0.0985  0.0090  0.0190  0.0188  0.0190  0.01
Random 2   89  -0.0574  0.0089  0.0288  0.0270  0.0389  0.02
Random 3   88  -0.0378  0.0088  0.0289  0.0231  0.1671  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).