Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   22  0.4945  0.0015  0.0716  0.3344  0.1919  0.25
Anderszewski 2003   43  0.4438  0.0039  0.0539  0.1336  0.1632  0.14
Ashkenazy 1981   2  0.5824  0.0010  0.065  0.4735  0.267  0.35
Bacha 2000   28  0.4851  0.0035  0.0536  0.1511  0.5214  0.28
Badura 1965   67  0.3947  0.0072  0.0466  0.0469  0.0474  0.04
Barbosa 1983   58  0.4140  0.0061  0.0462  0.0467  0.0572  0.04
Biret 1990   19  0.5025  0.0022  0.0814  0.3462  0.0536  0.13
Blet 2003   53  0.4227  0.0066  0.0463  0.0462  0.0573  0.04
Block 1995   83  0.3246  0.0056  0.0458  0.0442  0.1156  0.07
Blumental 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Boshniakovich 1969   25  0.4830  0.0045  0.0542  0.0951  0.0657  0.07
Brailowsky 1960   37  0.4614  0.0153  0.0465  0.0435  0.3139  0.11
Bunin 1987   79  0.3458  0.0085  0.0383  0.0375  0.0387  0.03
Bunin 1987b   82  0.3382  0.0086  0.0551  0.0576  0.0369  0.04
Chiu 1999   23  0.4954  0.0027  0.0729  0.2440  0.1924  0.21
Cohen 1997   73  0.3673  0.0081  0.0384  0.0344  0.1065  0.05
Cortot 1951   35  0.4783  0.0031  0.0526  0.269  0.575  0.38
Csalog 1996   84  0.2989  0.0084  0.0385  0.0382  0.0385  0.03
Czerny 1949   31  0.4831  0.0019  0.089  0.3934  0.2610  0.32
Czerny 1990   3  0.587  0.023  0.282  0.7116  0.462  0.57
Duchoud 2007   80  0.3469  0.0082  0.0381  0.0377  0.0486  0.03
Ezaki 2006   10  0.5213  0.0117  0.1018  0.3238  0.2116  0.26
Falvay 1989   33  0.4712  0.0140  0.0444  0.0837  0.1838  0.12
Farrell 1958   49  0.4436  0.0051  0.0553  0.0545  0.1053  0.07
Ferenczy 1958   41  0.454  0.078  0.1320  0.3014  0.436  0.36
Fliere 1977   24  0.4944  0.0046  0.0457  0.0484  0.0380  0.03
Fou 1978   30  0.4828  0.0048  0.0648  0.0652  0.0660  0.06
Francois 1956   75  0.3570  0.0067  0.0471  0.0456  0.0478  0.04
Friedman 1923   70  0.3874  0.0064  0.0379  0.0323  0.3447  0.10
Friedman 1923b   69  0.3885  0.0058  0.0470  0.0426  0.3043  0.11
Friedman 1930   66  0.3937  0.0065  0.0554  0.0539  0.1750  0.09
Garcia 2007   68  0.3962  0.0069  0.0377  0.0330  0.2151  0.08
Garcia 2007b   62  0.4056  0.0041  0.0443  0.0917  0.3731  0.18
Gierzod 1998   5  0.5429  0.005  0.114  0.4938  0.343  0.41
Gornostaeva 1994   71  0.3860  0.0073  0.0468  0.0477  0.0388  0.03
Groot 1988   64  0.4041  0.0059  0.0476  0.0475  0.0390  0.03
Harasiewicz 1955   45  0.4450  0.0032  0.0538  0.1470  0.0458  0.07
Hatto 1993   8  0.5367  0.0011  0.0912  0.3634  0.1521  0.23
Hatto 1997   11  0.5257  0.0013  0.0810  0.3828  0.2511  0.31
Horowitz 1949   63  0.4063  0.0075  0.0475  0.0450  0.0570  0.04
Indjic 1988   9  0.5264  0.0012  0.0717  0.3343  0.1325  0.21
Kapell 1951   27  0.485  0.037  0.116  0.4630  0.314  0.38
Kissin 1993   39  0.4521  0.0049  0.0549  0.0547  0.0761  0.06
Kushner 1989   13  0.5126  0.0024  0.0713  0.3570  0.0534  0.13
Luisada 1991   6  0.5317  0.0121  0.0721  0.2939  0.2317  0.26
Lushtak 2004   26  0.4872  0.0047  0.0550  0.0550  0.0664  0.05
Malcuzynski 1961   55  0.429  0.0223  0.0725  0.2643  0.1527  0.20
Magaloff 1978   51  0.4434  0.0052  0.0459  0.0475  0.0468  0.04
Magin 1975   20  0.493  0.084  0.1131  0.2035  0.1829  0.19
Michalowski 1933   60  0.4161  0.0033  0.0533  0.1831  0.3320  0.24
Milkina 1970   36  0.4623  0.0025  0.0728  0.2466  0.0541  0.11
Mohovich 1999   40  0.4516  0.0143  0.0441  0.1056  0.0652  0.08
Moravec 1969   4  0.551  0.311  0.313  0.653  0.701  0.67
Morozova 2008   7  0.538  0.0214  0.0824  0.2738  0.1626  0.21
Neighaus 1950   61  0.4086  0.0071  0.0647  0.0680  0.0466  0.05
Niedzielski 1931   72  0.3852  0.0038  0.0635  0.1632  0.3022  0.22
Ohlsson 1999   59  0.4180  0.0070  0.0552  0.0582  0.0371  0.04
Osinska 1989   32  0.4759  0.0030  0.0727  0.2545  0.1528  0.19
Pachmann 1927   88  0.2191  0.0088  0.0472  0.0483  0.0384  0.03
Paderewski 1930   50  0.4484  0.0044  0.0445  0.0830  0.2135  0.13
Perlemuter 1992   44  0.4418  0.0155  0.0460  0.0459  0.0567  0.04
Pierdomenico 2008   85  0.2976  0.0080  0.0286  0.0261  0.0582  0.03
Poblocka 1999   38  0.4535  0.009  0.1219  0.3131  0.2712  0.29
Rabcewiczowa 1932   14  0.5071  0.0020  0.0922  0.2824  0.2915  0.28
Rachmaninoff 1923   47  0.4433  0.0028  0.0930  0.2356  0.0540  0.11
Rangell 2001   86  0.2766  0.0083  0.0382  0.0377  0.0389  0.03
Richter 1976   87  0.2488  0.0087  0.0378  0.0386  0.0291  0.02
Rosen 1989   42  0.4515  0.0134  0.0632  0.1945  0.1133  0.14
Rosenthal 1930   65  0.3910  0.0168  0.0474  0.0431  0.3042  0.11
Rosenthal 1931   81  0.3453  0.0077  0.0455  0.0437  0.2645  0.10
Rosenthal 1931b   74  0.3522  0.0074  0.0467  0.0435  0.2446  0.10
Rosenthal 1931c   57  0.4239  0.0060  0.0473  0.0423  0.4037  0.13
Rosenthal 1931d   77  0.3477  0.0076  0.0456  0.0429  0.2844  0.11
Rossi 2007   76  0.3578  0.0079  0.0288  0.0256  0.0581  0.03
Rubinstein 1939   56  0.4279  0.0063  0.0380  0.0331  0.2748  0.09
Rubinstein 1952   54  0.4268  0.0057  0.0464  0.0465  0.0577  0.04
Rubinstein 1966   34  0.4765  0.0054  0.0469  0.0460  0.0663  0.05
Schilhawsky 1960   48  0.4419  0.0042  0.0440  0.1164  0.0455  0.07
Shebanova 2002   17  0.5032  0.0029  0.0915  0.3445  0.1030  0.18
Smith 1975   21  0.4955  0.0016  0.0811  0.3728  0.289  0.32
Sokolov 2002   46  0.4420  0.0050  0.0646  0.0647  0.0759  0.06
Sztompka 1959   12  0.516  0.036  0.107  0.4431  0.268  0.34
Tomsic 1995   78  0.3448  0.0078  0.0287  0.0274  0.0483  0.03
Uninsky 1932   16  0.5049  0.0026  0.0623  0.2736  0.2418  0.25
Uninsky 1971   15  0.5011  0.0118  0.098  0.4135  0.2113  0.29
Wasowski 1980   52  0.4342  0.0062  0.0461  0.0483  0.0379  0.03
Zak 1937   18  0.5081  0.0036  0.0634  0.1759  0.0549  0.09
Zak 1951   29  0.4843  0.0037  0.0637  0.1476  0.0454  0.07
Average   1  0.642  0.272  0.401  0.8252  0.0623  0.22
Random 1   91  -0.0890  0.0091  0.0191  0.0137  0.1575  0.04
Random 2   89  0.0087  0.0089  0.0289  0.0235  0.2062  0.06
Random 3   90  -0.0475  0.0090  0.0290  0.0245  0.0776  0.04

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).