Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   30  0.5022  0.0040  0.0643  0.1452  0.0551  0.08
Anderszewski 2003   75  0.3267  0.0068  0.0481  0.0470  0.0378  0.03
Ashkenazy 1981   52  0.4327  0.0055  0.0554  0.0574  0.0471  0.04
Bacha 2000   37  0.4884  0.0026  0.0925  0.3617  0.4419  0.40
Badura 1965   76  0.3263  0.0066  0.0470  0.0464  0.0569  0.04
Barbosa 1983   33  0.4946  0.0021  0.0921  0.4126  0.3420  0.37
Biret 1990   26  0.5129  0.0022  0.0922  0.4049  0.0736  0.17
Blet 2003   43  0.4472  0.0052  0.0555  0.0564  0.0465  0.04
Block 1995   51  0.4368  0.0027  0.0835  0.2038  0.1632  0.18
Blumental 1952   55  0.4258  0.0054  0.0564  0.0563  0.0470  0.04
Boshniakovich 1969   41  0.4651  0.0042  0.0838  0.1749  0.0646  0.10
Brailowsky 1960   22  0.5235  0.0028  0.0723  0.3913  0.5616  0.47
Bunin 1987   77  0.3253  0.0082  0.0479  0.0486  0.0285  0.03
Bunin 1987b   78  0.3278  0.0083  0.0471  0.0487  0.0274  0.03
Chiu 1999   49  0.4379  0.0029  0.0729  0.3237  0.2323  0.27
Cohen 1997   31  0.4955  0.0014  0.1217  0.511  0.659  0.58
Cortot 1951   80  0.3141  0.0079  0.0386  0.0379  0.0387  0.03
Csalog 1996   8  0.6136  0.007  0.1911  0.593  0.677  0.63
Czerny 1949   59  0.4037  0.0064  0.0565  0.0571  0.0467  0.04
Czerny 1990   19  0.5361  0.0032  0.0734  0.2255  0.0644  0.11
Duchoud 2007   64  0.3764  0.0073  0.0469  0.0475  0.0468  0.04
Ezaki 2006   28  0.5017  0.0046  0.0748  0.0755  0.0653  0.06
Falvay 1989   2  0.6610  0.015  0.323  0.703  0.714  0.70
Farrell 1958   38  0.4843  0.0033  0.0727  0.3432  0.2124  0.27
Ferenczy 1958   66  0.3675  0.0081  0.0562  0.0571  0.0366  0.04
Fliere 1977   17  0.5440  0.0019  0.1315  0.5244  0.0928  0.22
Fou 1978   6  0.623  0.064  0.286  0.634  0.636  0.63
Francois 1956   21  0.5244  0.0031  0.0726  0.3532  0.2921  0.32
Friedman 1923   87  0.0885  0.0087  0.0484  0.0483  0.0388  0.03
Friedman 1923b   86  0.0886  0.0086  0.0387  0.0383  0.0386  0.03
Friedman 1930   85  0.1569  0.0084  0.0385  0.0387  0.0380  0.03
Garcia 2007   82  0.2780  0.0077  0.0474  0.0472  0.0383  0.03
Garcia 2007b   83  0.2642  0.0069  0.0482  0.0447  0.0572  0.04
Gierzod 1998   34  0.4949  0.0036  0.0640  0.1748  0.0645  0.10
Gornostaeva 1994   40  0.4720  0.0035  0.0733  0.2344  0.1235  0.17
Groot 1988   9  0.605  0.0511  0.1413  0.5816  0.4414  0.51
Harasiewicz 1955   56  0.4114  0.0143  0.0937  0.1858  0.0548  0.09
Hatto 1993   73  0.3377  0.0058  0.0651  0.0664  0.0560  0.05
Hatto 1997   68  0.3638  0.0056  0.0749  0.0756  0.0554  0.06
Horowitz 1949   61  0.3934  0.0075  0.0561  0.0580  0.0362  0.04
Indjic 1988   71  0.3574  0.0057  0.0653  0.0643  0.1250  0.08
Kapell 1951   24  0.5132  0.0045  0.0558  0.0548  0.0557  0.05
Kissin 1993   4  0.646  0.046  0.242  0.754  0.673  0.71
Kushner 1989   16  0.5518  0.0018  0.1119  0.4952  0.0633  0.17
Luisada 1991   25  0.5115  0.0120  0.1124  0.3741  0.2222  0.29
Lushtak 2004   18  0.534  0.058  0.1516  0.5224  0.4118  0.46
Malcuzynski 1961   46  0.4452  0.0062  0.0477  0.0485  0.0375  0.03
Magaloff 1978   13  0.589  0.0210  0.1412  0.595  0.5410  0.56
Magin 1975   42  0.4521  0.0038  0.0639  0.1736  0.1638  0.16
Michalowski 1933   84  0.1762  0.0085  0.0466  0.0483  0.0376  0.03
Milkina 1970   3  0.657  0.033  0.235  0.671  0.685  0.67
Mohovich 1999   7  0.628  0.0212  0.207  0.6010  0.648  0.62
Moravec 1969   20  0.5224  0.0039  0.0642  0.1523  0.3127  0.22
Morozova 2008   47  0.4359  0.0044  0.0644  0.1179  0.0452  0.07
Neighaus 1950   50  0.4356  0.0051  0.0563  0.0562  0.0559  0.05
Niedzielski 1931   70  0.3565  0.0071  0.0483  0.0457  0.0373  0.03
Ohlsson 1999   32  0.4916  0.0124  0.1028  0.3336  0.2025  0.26
Osinska 1989   15  0.5811  0.019  0.129  0.6015  0.4911  0.54
Pachmann 1927   45  0.4426  0.0048  0.0846  0.089  0.5131  0.20
Paderewski 1930   57  0.4176  0.0063  0.0475  0.0458  0.0464  0.04
Perlemuter 1992   35  0.4919  0.0030  0.0731  0.2440  0.1630  0.20
Pierdomenico 2008   53  0.4257  0.0041  0.0636  0.1848  0.0743  0.11
Poblocka 1999   27  0.5066  0.0047  0.0747  0.0744  0.1049  0.08
Rabcewiczowa 1932   39  0.4754  0.0034  0.0932  0.2448  0.0742  0.13
Rachmaninoff 1923   79  0.3250  0.0070  0.0467  0.0476  0.0461  0.04
Rangell 2001   36  0.4960  0.0023  0.0930  0.2832  0.2326  0.25
Richter 1976   63  0.3828  0.0049  0.0556  0.0563  0.0463  0.04
Rosen 1989   23  0.5248  0.0025  0.0820  0.4347  0.0734  0.17
Rosenthal 1930   74  0.3331  0.0078  0.0478  0.0477  0.0384  0.03
Rosenthal 1931   65  0.3689  0.0060  0.0652  0.0628  0.3839  0.15
Rosenthal 1931b   69  0.3683  0.0061  0.0650  0.0628  0.3140  0.14
Rosenthal 1931c   54  0.4270  0.0053  0.0560  0.0520  0.4241  0.14
Rosenthal 1931d   58  0.4081  0.0059  0.0945  0.0914  0.4729  0.21
Rossi 2007   81  0.2882  0.0067  0.0473  0.0432  0.2147  0.09
Rubinstein 1939   5  0.631  0.331  0.334  0.681  0.742  0.71
Rubinstein 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1966   1  0.712  0.262  0.531  0.811  0.861  0.83
Schilhawsky 1960   67  0.3647  0.0072  0.0480  0.0481  0.0379  0.03
Shebanova 2002   11  0.5925  0.0013  0.168  0.6021  0.4713  0.53
Smith 1975   29  0.5013  0.0137  0.0641  0.1640  0.1637  0.16
Sokolov 2002   48  0.4330  0.0065  0.0557  0.0561  0.0556  0.05
Sztompka 1959   60  0.3933  0.0074  0.0476  0.0457  0.0658  0.05
Tomsic 1995   10  0.6012  0.0117  0.1818  0.5112  0.5512  0.53
Uninsky 1932   72  0.3371  0.0080  0.0472  0.0485  0.0381  0.03
Uninsky 1971   62  0.3845  0.0076  0.0468  0.0483  0.0377  0.03
Wasowski 1980   44  0.4439  0.0050  0.0559  0.0562  0.0555  0.05
Zak 1937   12  0.5873  0.0016  0.1814  0.5522  0.3917  0.46
Zak 1951   14  0.5823  0.0015  0.1210  0.5923  0.4015  0.49
Random 1   90  -0.0887  0.0090  0.0190  0.0164  0.0389  0.02
Random 2   88  -0.0188  0.0088  0.0288  0.0247  0.0582  0.03
Random 3   89  -0.0490  0.0089  0.0189  0.0170  0.0390  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).