Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   6  0.624  0.048  0.1212  0.4818  0.5014  0.49
Anderszewski 2003   69  0.4340  0.0065  0.0650  0.0645  0.0965  0.07
Ashkenazy 1981   48  0.5166  0.0054  0.0648  0.0652  0.0575  0.05
Bacha 2000   53  0.5080  0.0059  0.0470  0.0433  0.3352  0.11
Badura 1965   70  0.4326  0.0075  0.0288  0.0266  0.0487  0.03
Barbosa 1983   34  0.5439  0.0025  0.0919  0.436  0.5912  0.50
Biret 1990   33  0.5443  0.0045  0.0544  0.1045  0.1158  0.10
Blet 2003   37  0.5323  0.0042  0.0739  0.1920  0.3933  0.27
Block 1995   22  0.5711  0.0116  0.0821  0.427  0.5117  0.46
Blumental 1952   77  0.4038  0.0069  0.0375  0.0376  0.0488  0.03
Boshniakovich 1969   35  0.5486  0.0039  0.0637  0.2346  0.0745  0.13
Brailowsky 1960   19  0.5820  0.0034  0.0732  0.317  0.6816  0.46
Bunin 1987   43  0.5255  0.0051  0.0551  0.0520  0.4043  0.14
Bunin 1987b   44  0.5260  0.0050  0.0458  0.0423  0.3846  0.12
Chiu 1999   56  0.4929  0.0022  0.0728  0.3512  0.5319  0.43
Cohen 1997   83  0.3674  0.0084  0.0462  0.0421  0.3354  0.11
Cortot 1951   75  0.4181  0.0083  0.0379  0.0340  0.1567  0.07
Csalog 1996   49  0.5064  0.0043  0.0741  0.1626  0.3638  0.24
Czerny 1949   58  0.4756  0.0061  0.0464  0.0462  0.0483  0.04
Czerny 1990   13  0.599  0.0115  0.085  0.5424  0.3618  0.44
Duchoud 2007   61  0.4759  0.0067  0.0382  0.0338  0.1866  0.07
Ezaki 2006   14  0.5928  0.0028  0.0723  0.3933  0.2829  0.33
Falvay 1989   5  0.6315  0.006  0.126  0.547  0.604  0.57
Farrell 1958   36  0.5357  0.0040  0.0640  0.1717  0.4135  0.26
Ferenczy 1958   63  0.4661  0.0081  0.0456  0.0437  0.1861  0.08
Fliere 1977   3  0.658  0.013  0.272  0.679  0.592  0.63
Fou 1978   11  0.5914  0.0011  0.104  0.5721  0.4213  0.49
Francois 1956   9  0.6022  0.0013  0.119  0.497  0.627  0.55
Friedman 1923   88  0.2744  0.0088  0.0460  0.0456  0.0585  0.04
Friedman 1923b   87  0.2862  0.0087  0.0465  0.0475  0.0484  0.04
Friedman 1930   82  0.3669  0.0066  0.0372  0.0336  0.1960  0.08
Garcia 2007   84  0.3631  0.0082  0.0376  0.0332  0.2162  0.08
Garcia 2007b   81  0.3746  0.0068  0.0461  0.0419  0.3551  0.12
Gierzod 1998   51  0.5076  0.0053  0.0554  0.0550  0.0674  0.05
Gornostaeva 1994   25  0.5621  0.0021  0.0830  0.3522  0.4625  0.40
Groot 1988   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Harasiewicz 1955   45  0.5182  0.0023  0.0726  0.3840  0.1934  0.27
Hatto 1993   76  0.4158  0.0063  0.0467  0.0430  0.1863  0.08
Hatto 1997   73  0.4253  0.0055  0.0457  0.0447  0.0772  0.05
Horowitz 1949   18  0.5812  0.0117  0.0922  0.424  0.6610  0.53
Indjic 1988   74  0.4245  0.0064  0.0746  0.0732  0.2048  0.12
Kapell 1951   32  0.5478  0.0052  0.0459  0.0471  0.0479  0.04
Kissin 1993   27  0.5563  0.0031  0.0733  0.3054  0.0644  0.13
Kushner 1989   17  0.5883  0.0029  0.0829  0.3526  0.3328  0.34
Luisada 1991   41  0.5235  0.0049  0.0552  0.0546  0.0868  0.06
Lushtak 2004   40  0.5268  0.0035  0.0831  0.3131  0.3332  0.32
Malcuzynski 1961   21  0.5836  0.0036  0.0838  0.2126  0.3136  0.26
Magaloff 1978   7  0.6227  0.004  0.207  0.534  0.559  0.54
Magin 1975   50  0.5048  0.0038  0.0643  0.1132  0.2540  0.17
Michalowski 1933   85  0.3324  0.0085  0.0377  0.0367  0.0582  0.04
Milkina 1970   8  0.6225  0.0012  0.1113  0.4727  0.4020  0.43
Mohovich 1999   2  0.672  0.102  0.293  0.634  0.751  0.69
Moravec 1969   55  0.4933  0.0074  0.0385  0.0346  0.0677  0.04
Morozova 2008   47  0.5119  0.0030  0.0825  0.3826  0.2831  0.33
Neighaus 1950   15  0.5871  0.0019  0.0916  0.4522  0.3921  0.42
Niedzielski 1931   67  0.4517  0.0073  0.0386  0.0350  0.0486  0.03
Ohlsson 1999   54  0.4932  0.0060  0.0371  0.0349  0.0681  0.04
Osinska 1989   24  0.5642  0.0033  0.1034  0.2938  0.2237  0.25
Pachmann 1927   66  0.4584  0.0080  0.0469  0.0425  0.3547  0.12
Paderewski 1930   59  0.4749  0.0079  0.0378  0.0349  0.0580  0.04
Perlemuter 1992   20  0.5830  0.0018  0.1011  0.495  0.598  0.54
Pierdomenico 2008   60  0.4777  0.0032  0.0735  0.2616  0.4330  0.33
Poblocka 1999   30  0.5416  0.0037  0.0936  0.2558  0.0553  0.11
Rabcewiczowa 1932   62  0.4751  0.0058  0.0373  0.0345  0.1169  0.06
Rachmaninoff 1923   28  0.557  0.025  0.1015  0.4510  0.5015  0.47
Rangell 2001   65  0.4575  0.0048  0.0647  0.0654  0.0576  0.05
Richter 1976   46  0.5152  0.0044  0.0545  0.1032  0.3041  0.17
Rosen 1989   29  0.5513  0.0126  0.0824  0.3921  0.4124  0.40
Rosenthal 1930   64  0.4647  0.0062  0.0468  0.0421  0.4642  0.14
Rosenthal 1931   80  0.3879  0.0071  0.0384  0.0322  0.4849  0.12
Rosenthal 1931b   78  0.3987  0.0077  0.0374  0.0321  0.4455  0.11
Rosenthal 1931c   71  0.4388  0.0076  0.0383  0.0324  0.3956  0.11
Rosenthal 1931d   72  0.4270  0.0072  0.0381  0.0316  0.4750  0.12
Rossi 2007   86  0.3185  0.0086  0.0463  0.0437  0.1859  0.08
Rubinstein 1939   79  0.3872  0.0070  0.0380  0.0336  0.1864  0.07
Rubinstein 1952   10  0.603  0.0510  0.1117  0.4414  0.5811  0.51
Rubinstein 1966   12  0.5967  0.0020  0.098  0.5210  0.625  0.57
Schilhawsky 1960   57  0.4950  0.0057  0.0555  0.0549  0.0671  0.05
Shebanova 2002   16  0.5873  0.0027  0.0727  0.3730  0.3427  0.35
Smith 1975   23  0.5737  0.0024  0.0820  0.4319  0.4022  0.41
Sokolov 2002   42  0.5234  0.0056  0.0466  0.0463  0.0478  0.04
Sztompka 1959   39  0.525  0.0346  0.0649  0.0635  0.1757  0.10
Tomsic 1995   4  0.6318  0.007  0.1510  0.494  0.646  0.56
Uninsky 1932   68  0.4465  0.0078  0.0387  0.0346  0.0973  0.05
Uninsky 1971   52  0.5054  0.0047  0.0553  0.0550  0.0670  0.05
Wasowski 1980   38  0.5310  0.0141  0.0642  0.1631  0.2639  0.20
Zak 1937   31  0.5441  0.0014  0.0918  0.4327  0.3626  0.39
Zak 1951   26  0.556  0.039  0.1014  0.4626  0.3723  0.41
Average   1  0.741  0.611  0.601  0.8627  0.413  0.59
Random 1   91  -0.0990  0.0089  0.0190  0.0156  0.0490  0.02
Random 2   90  -0.0789  0.0091  0.0191  0.0187  0.0291  0.01
Random 3   89  -0.0391  0.0090  0.0189  0.0142  0.0789  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).