Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   15  0.5975  0.0010  0.0824  0.3926  0.3828  0.38
Anderszewski 2003   69  0.4550  0.0051  0.0471  0.0455  0.0481  0.04
Ashkenazy 1981   23  0.5776  0.0019  0.1019  0.4520  0.4224  0.43
Bacha 2000   68  0.4659  0.0069  0.0945  0.0921  0.3945  0.19
Badura 1965   58  0.4940  0.0048  0.0749  0.0713  0.4349  0.17
Barbosa 1983   28  0.5619  0.0034  0.0730  0.287  0.5726  0.40
Biret 1990   22  0.5760  0.0016  0.0910  0.494  0.608  0.54
Blet 2003   45  0.5261  0.0058  0.0556  0.0527  0.2758  0.12
Block 1995   63  0.4720  0.0067  0.0558  0.0535  0.1965  0.10
Blumental 1952   59  0.485  0.0063  0.0475  0.0436  0.1469  0.07
Boshniakovich 1969   12  0.6034  0.008  0.095  0.586  0.675  0.62
Brailowsky 1960   60  0.4811  0.0066  0.0561  0.0527  0.3752  0.14
Bunin 1987   44  0.5251  0.0055  0.0466  0.0420  0.3959  0.12
Bunin 1987b   46  0.5141  0.0056  0.0747  0.0719  0.4148  0.17
Chiu 1999   20  0.5815  0.0024  0.1022  0.425  0.659  0.52
Cohen 1997   86  0.3142  0.0084  0.0386  0.0361  0.0487  0.03
Cortot 1951   75  0.3962  0.0080  0.0384  0.0377  0.0388  0.03
Csalog 1996   48  0.516  0.0047  0.0746  0.075  0.6440  0.21
Czerny 1949   41  0.5252  0.0044  0.0744  0.1431  0.2842  0.20
Czerny 1990   26  0.5663  0.0029  0.0838  0.2236  0.1943  0.20
Duchoud 2007   61  0.4743  0.0068  0.0653  0.0634  0.2060  0.11
Ezaki 2006   6  0.617  0.0013  0.0917  0.4514  0.4721  0.46
Falvay 1989   8  0.6123  0.0026  0.1321  0.429  0.5814  0.49
Farrell 1958   56  0.4977  0.0059  0.0652  0.0626  0.2855  0.13
Ferenczy 1958   73  0.4224  0.0074  0.0476  0.0453  0.0482  0.04
Fliere 1977   4  0.6264  0.007  0.106  0.5625  0.4412  0.50
Fou 1978   9  0.6153  0.0015  0.099  0.5212  0.4715  0.49
Francois 1956   39  0.5378  0.0042  0.0741  0.2013  0.5232  0.32
Friedman 1923   78  0.3779  0.0078  0.0559  0.0538  0.1567  0.09
Friedman 1923b   76  0.3825  0.0073  0.0477  0.0433  0.2166  0.09
Friedman 1930   71  0.4344  0.0062  0.0480  0.0431  0.2564  0.10
Garcia 2007   74  0.3965  0.0077  0.0473  0.0422  0.2961  0.11
Garcia 2007b   83  0.3516  0.0076  0.0478  0.0438  0.1171  0.07
Gierzod 1998   13  0.609  0.0018  0.0916  0.4625  0.4223  0.44
Gornostaeva 1994   54  0.4912  0.0052  0.0654  0.0636  0.1962  0.11
Groot 1988   30  0.5580  0.0027  0.1225  0.3713  0.4625  0.41
Harasiewicz 1955   7  0.6154  0.002  0.322  0.672  0.604  0.63
Hatto 1993   57  0.4966  0.0039  0.0542  0.1924  0.2144  0.20
Hatto 1997   52  0.5081  0.0032  0.0635  0.2333  0.1841  0.20
Horowitz 1949   29  0.5626  0.005  0.1027  0.367  0.6320  0.48
Indjic 1988   50  0.5035  0.0030  0.0732  0.2719  0.3334  0.30
Kapell 1951   27  0.5645  0.0033  0.0631  0.2836  0.2137  0.24
Kissin 1993   2  0.6455  0.003  0.183  0.655  0.672  0.66
Kushner 1989   16  0.5967  0.0028  0.0926  0.3729  0.3129  0.34
Luisada 1991   21  0.5856  0.006  0.0920  0.4314  0.5318  0.48
Lushtak 2004   5  0.6146  0.004  0.184  0.601  0.673  0.63
Malcuzynski 1961   37  0.543  0.0031  0.0629  0.3017  0.3531  0.32
Magaloff 1978   43  0.5221  0.0046  0.0748  0.0725  0.2853  0.14
Magin 1975   40  0.5327  0.0020  0.1228  0.3416  0.4427  0.39
Michalowski 1933   85  0.3428  0.0075  0.0479  0.0448  0.0775  0.05
Milkina 1970   25  0.5722  0.0011  0.0813  0.4812  0.5116  0.49
Mohovich 1999   3  0.6236  0.009  0.088  0.539  0.646  0.58
Moravec 1969   65  0.4782  0.0071  0.0555  0.0554  0.0478  0.04
Morozova 2008   36  0.5413  0.0037  0.0640  0.2127  0.2738  0.24
Neighaus 1950   14  0.5929  0.0012  0.087  0.5412  0.5010  0.52
Niedzielski 1931   67  0.4768  0.0057  0.0562  0.0511  0.4950  0.16
Ohlsson 1999   24  0.5747  0.0017  0.0812  0.4815  0.4422  0.46
Osinska 1989   17  0.5814  0.0022  0.0915  0.4613  0.5019  0.48
Pachmann 1927   51  0.5037  0.0050  0.0564  0.054  0.6447  0.18
Paderewski 1930   79  0.3783  0.0079  0.0381  0.0374  0.0384  0.03
Perlemuter 1992   32  0.5548  0.0038  0.0539  0.2211  0.4730  0.32
Pierdomenico 2008   64  0.4784  0.0065  0.0650  0.0619  0.3651  0.15
Poblocka 1999   33  0.5569  0.0043  0.0743  0.1638  0.2146  0.18
Rabcewiczowa 1932   72  0.4238  0.0072  0.0563  0.0549  0.0674  0.05
Rachmaninoff 1923   42  0.5230  0.0036  0.0537  0.2222  0.3535  0.28
Rangell 2001   66  0.478  0.0061  0.0565  0.0522  0.3256  0.13
Richter 1976   49  0.5170  0.0049  0.0560  0.0523  0.3954  0.14
Rosen 1989   35  0.5431  0.0041  0.0934  0.2331  0.2339  0.23
Rosenthal 1930   80  0.3685  0.0085  0.0287  0.0265  0.0585  0.03
Rosenthal 1931   84  0.3486  0.0086  0.0383  0.0349  0.0580  0.04
Rosenthal 1931b   81  0.3671  0.0083  0.0468  0.0442  0.1370  0.07
Rosenthal 1931c   77  0.374  0.0081  0.0382  0.0350  0.0583  0.04
Rosenthal 1931d   82  0.3672  0.0082  0.0385  0.0346  0.0777  0.05
Rossi 2007   87  0.3087  0.0087  0.0472  0.0453  0.0579  0.04
Rubinstein 1939   70  0.4573  0.0070  0.0467  0.0418  0.3957  0.12
Rubinstein 1952   19  0.5888  0.0025  0.1123  0.4010  0.5917  0.49
Rubinstein 1966   10  0.6157  0.0023  0.0914  0.4710  0.627  0.54
Schilhawsky 1960   18  0.5832  0.0014  0.0918  0.458  0.5711  0.51
Shebanova 2002   11  0.6033  0.0021  0.1111  0.4914  0.5113  0.50
Smith 1975   47  0.5189  0.0053  0.0557  0.0547  0.0772  0.06
Sokolov 2002   34  0.5417  0.0040  0.0733  0.2327  0.3236  0.27
Sztompka 1959   62  0.4758  0.0064  0.0469  0.0446  0.0873  0.06
Tomsic 1995   31  0.5590  0.0035  0.0636  0.2315  0.4133  0.31
Uninsky 1932   53  0.4910  0.0060  0.0470  0.0454  0.0676  0.05
Uninsky 1971   38  0.532  0.0045  0.0651  0.0638  0.1663  0.10
Wasowski 1980   55  0.4918  0.0054  0.0474  0.0441  0.1468  0.07
Zak 1937   1  0.981  1.001  0.991  1.001  1.001  1.00
Zak 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 1   88  -0.0539  0.0090  0.0190  0.0140  0.1186  0.03
Random 2   90  -0.0749  0.0088  0.0188  0.0171  0.0290  0.01
Random 3   89  -0.0674  0.0089  0.0189  0.0177  0.0389  0.02

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).