Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   2  0.602  0.113  0.313  0.6324  0.413  0.51
Anderszewski 2003   21  0.498  0.0122  0.0728  0.3462  0.0438  0.12
Ashkenazy 1981   15  0.5111  0.0114  0.1212  0.5136  0.249  0.35
Bacha 2000   79  0.3258  0.0069  0.0471  0.0473  0.0464  0.04
Badura 1965   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Barbosa 1983   46  0.4363  0.0055  0.0652  0.0670  0.0461  0.05
Biret 1990   69  0.3866  0.0064  0.0472  0.0465  0.0577  0.04
Blet 2003   27  0.4864  0.0038  0.0536  0.2957  0.0539  0.12
Block 1995   56  0.4175  0.0053  0.0564  0.0574  0.0374  0.04
Blumental 1952   66  0.3951  0.0072  0.0469  0.0466  0.0475  0.04
Boshniakovich 1969   7  0.5531  0.005  0.098  0.5621  0.394  0.47
Brailowsky 1960   73  0.3642  0.0078  0.0477  0.0474  0.0466  0.04
Bunin 1987   45  0.4453  0.0034  0.1133  0.3225  0.3413  0.33
Bunin 1987b   44  0.4414  0.0133  0.0732  0.3324  0.378  0.35
Chiu 1999   55  0.4277  0.0057  0.0749  0.0776  0.0357  0.05
Cohen 1997   85  0.2590  0.0082  0.0386  0.0364  0.0486  0.03
Cortot 1951   67  0.3962  0.0071  0.0475  0.0460  0.0478  0.04
Csalog 1996   72  0.3745  0.0061  0.0653  0.0639  0.2140  0.11
Czerny 1949   14  0.5288  0.0024  0.0622  0.3838  0.2116  0.28
Czerny 1990   13  0.5249  0.0030  0.0731  0.3361  0.0444  0.11
Duchoud 2007   47  0.4312  0.0120  0.0521  0.3926  0.367  0.37
Ezaki 2006   4  0.5734  0.006  0.089  0.5643  0.1317  0.27
Falvay 1989   61  0.4036  0.0067  0.0470  0.0471  0.0469  0.04
Farrell 1958   75  0.3469  0.0080  0.0382  0.0382  0.0383  0.03
Ferenczy 1958   57  0.4113  0.0163  0.0563  0.0545  0.1349  0.08
Fliere 1977   8  0.5556  0.0010  0.0913  0.5144  0.1120  0.24
Fou 1978   18  0.516  0.0215  0.1511  0.5145  0.1022  0.23
Francois 1956   60  0.4076  0.0065  0.0558  0.0555  0.0480  0.04
Friedman 1923   50  0.4326  0.0039  0.0640  0.2412  0.4711  0.34
Friedman 1923b   48  0.4360  0.0037  0.0638  0.2515  0.4610  0.34
Friedman 1930   32  0.4733  0.0040  0.0541  0.2133  0.2523  0.23
Garcia 2007   86  0.2555  0.0084  0.0385  0.0381  0.0385  0.03
Garcia 2007b   84  0.2659  0.0083  0.0388  0.0354  0.0489  0.03
Gierzod 1998   12  0.5238  0.009  0.087  0.5742  0.246  0.37
Gornostaeva 1994   34  0.4685  0.0041  0.0639  0.2449  0.0543  0.11
Groot 1988   49  0.4324  0.0051  0.0466  0.0488  0.0287  0.03
Harasiewicz 1955   5  0.5620  0.0113  0.1116  0.4349  0.0628  0.16
Hatto 1993   53  0.4352  0.0021  0.0635  0.3155  0.0634  0.14
Hatto 1997   42  0.4415  0.0116  0.1017  0.4259  0.0533  0.14
Horowitz 1949   58  0.4140  0.0066  0.0561  0.0553  0.0560  0.05
Indjic 1988   51  0.4357  0.0019  0.0726  0.3647  0.0827  0.17
Kapell 1951   64  0.3947  0.0059  0.0468  0.0477  0.0471  0.04
Kissin 1993   9  0.5417  0.0111  0.116  0.5845  0.1119  0.25
Kushner 1989   11  0.5367  0.007  0.085  0.6041  0.1514  0.30
Luisada 1991   54  0.4348  0.0054  0.0651  0.0668  0.0455  0.05
Lushtak 2004   29  0.4779  0.0032  0.0734  0.3276  0.0442  0.11
Malcuzynski 1961   20  0.4943  0.0029  0.0720  0.3956  0.0532  0.14
Magaloff 1978   62  0.4070  0.0058  0.0560  0.0579  0.0368  0.04
Magin 1975   40  0.4572  0.0045  0.0745  0.1353  0.0547  0.08
Michalowski 1933   59  0.4068  0.0062  0.0557  0.0550  0.0753  0.06
Milkina 1970   26  0.487  0.0231  0.0729  0.3458  0.0631  0.14
Mohovich 1999   52  0.4380  0.0056  0.0748  0.0777  0.0362  0.05
Moravec 1969   71  0.3718  0.0175  0.0562  0.0567  0.0465  0.04
Morozova 2008   3  0.593  0.082  0.252  0.669  0.491  0.57
Neighaus 1950   38  0.4574  0.0043  0.0742  0.2173  0.0446  0.09
Niedzielski 1931   78  0.3222  0.0077  0.0474  0.0476  0.0382  0.03
Ohlsson 1999   17  0.5150  0.008  0.0910  0.5338  0.2012  0.33
Osinska 1989   25  0.4871  0.0042  0.0743  0.1981  0.0445  0.09
Pachmann 1927   74  0.3665  0.0068  0.0379  0.0337  0.2048  0.08
Paderewski 1930   63  0.3919  0.0170  0.0476  0.0453  0.0572  0.04
Perlemuter 1992   33  0.4661  0.0049  0.0559  0.0547  0.0656  0.05
Pierdomenico 2008   83  0.2787  0.0086  0.0383  0.0387  0.0290  0.02
Poblocka 1999   22  0.4928  0.0026  0.0727  0.3554  0.0535  0.13
Rabcewiczowa 1932   68  0.3844  0.0074  0.0555  0.0587  0.0370  0.04
Rachmaninoff 1923   37  0.4627  0.0048  0.0747  0.0765  0.0458  0.05
Rangell 2001   70  0.3737  0.0052  0.0467  0.0457  0.0576  0.04
Richter 1976   28  0.489  0.0136  0.1137  0.2730  0.3215  0.29
Rosen 1989   39  0.4546  0.0018  0.0830  0.3358  0.0537  0.13
Rosenthal 1930   65  0.3939  0.0060  0.0556  0.0534  0.2341  0.11
Rosenthal 1931   82  0.2783  0.0079  0.0384  0.0358  0.0484  0.03
Rosenthal 1931b   87  0.2489  0.0085  0.0381  0.0365  0.0488  0.03
Rosenthal 1931c   76  0.3373  0.0073  0.0473  0.0445  0.1054  0.06
Rosenthal 1931d   88  0.2291  0.0087  0.0387  0.0386  0.0291  0.02
Rossi 2007   80  0.3184  0.0088  0.0478  0.0469  0.0467  0.04
Rubinstein 1939   81  0.2835  0.0081  0.0380  0.0386  0.0381  0.03
Rubinstein 1952   77  0.3254  0.0076  0.0465  0.0471  0.0479  0.04
Rubinstein 1966   41  0.4425  0.0046  0.0846  0.0854  0.0751  0.07
Schilhawsky 1960   19  0.4929  0.0035  0.1324  0.3744  0.1521  0.24
Shebanova 2002   23  0.4978  0.0025  0.0718  0.4053  0.0630  0.15
Smith 1975   36  0.4641  0.0050  0.0650  0.0654  0.0559  0.05
Sokolov 2002   31  0.4732  0.0028  0.0823  0.3739  0.1818  0.26
Sztompka 1959   16  0.5130  0.0017  0.0819  0.4052  0.0629  0.15
Tomsic 1995   43  0.4421  0.0144  0.0744  0.1644  0.1036  0.13
Uninsky 1932   10  0.5416  0.0112  0.1115  0.4322  0.425  0.42
Uninsky 1971   6  0.554  0.064  0.354  0.6118  0.442  0.52
Wasowski 1980   30  0.475  0.0347  0.0654  0.0650  0.0652  0.06
Zak 1937   35  0.4610  0.0127  0.0725  0.3644  0.1225  0.21
Zak 1951   24  0.4923  0.0023  0.0614  0.4350  0.0726  0.17
Average   1  0.641  0.501  0.491  0.7951  0.0624  0.22
Random 1   89  -0.0381  0.0089  0.0289  0.0215  0.3550  0.08
Random 2   90  -0.0482  0.0091  0.0191  0.0140  0.1373  0.04
Random 3   91  -0.0486  0.0090  0.0190  0.0126  0.2663  0.05

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).