Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   28  0.4763  0.0043  0.0443  0.0974  0.0349  0.05
Anderszewski 2003   48  0.4338  0.0040  0.0444  0.0884  0.0348  0.05
Ashkenazy 1981   16  0.4911  0.0219  0.0615  0.3282  0.0334  0.10
Bacha 2000   66  0.3831  0.0078  0.0375  0.0376  0.0471  0.03
Badura 1965   61  0.3926  0.0161  0.0552  0.0575  0.0462  0.04
Barbosa 1983   82  0.3067  0.0063  0.0549  0.0584  0.0357  0.04
Biret 1990   38  0.4444  0.0041  0.0539  0.1380  0.0442  0.07
Blet 2003   18  0.4812  0.0213  0.076  0.3937  0.1410  0.23
Block 1995   58  0.4034  0.0051  0.0461  0.0461  0.0463  0.04
Blumental 1952   39  0.4485  0.0031  0.0729  0.2144  0.0820  0.13
Boshniakovich 1969   1  0.592  0.132  0.231  0.5927  0.311  0.43
Brailowsky 1960   83  0.2973  0.0087  0.0373  0.0375  0.0472  0.03
Bunin 1987   52  0.429  0.0250  0.0459  0.0459  0.0565  0.04
Bunin 1987b   54  0.4133  0.0055  0.0457  0.0445  0.0646  0.05
Chiu 1999   76  0.3468  0.0064  0.0456  0.0477  0.0374  0.03
Cohen 1997   78  0.3443  0.0069  0.0380  0.0342  0.1344  0.06
Cortot 1951   20  0.4828  0.0012  0.0912  0.3522  0.364  0.35
Csalog 1996   74  0.3476  0.0081  0.0377  0.0371  0.0482  0.03
Czerny 1949   34  0.4586  0.0048  0.0553  0.0574  0.0460  0.04
Czerny 1990   8  0.5230  0.0023  0.0717  0.3269  0.0430  0.11
Duchoud 2007   75  0.3482  0.0082  0.0471  0.0463  0.0461  0.04
Ezaki 2006   60  0.4088  0.0077  0.0381  0.0387  0.0370  0.03
Falvay 1989   59  0.4083  0.0075  0.0376  0.0387  0.0375  0.03
Farrell 1958   43  0.4414  0.0229  0.0619  0.3154  0.0618  0.14
Ferenczy 1958   47  0.4350  0.0058  0.0554  0.0555  0.0459  0.04
Fliere 1977   7  0.5261  0.0018  0.087  0.3967  0.0421  0.12
Fou 1978   36  0.4423  0.0134  0.0731  0.2179  0.0437  0.09
Francois 1956   10  0.513  0.113  0.144  0.4740  0.186  0.29
Friedman 1923   86  0.2970  0.0057  0.0468  0.0459  0.0569  0.04
Friedman 1923b   85  0.2958  0.0056  0.0466  0.0450  0.0566  0.04
Friedman 1930   53  0.418  0.0317  0.0825  0.2839  0.1611  0.21
Garcia 2007   67  0.3853  0.0052  0.0547  0.0555  0.0650  0.05
Garcia 2007b   79  0.3352  0.0039  0.0541  0.1036  0.1331  0.11
Gierzod 1998   13  0.5024  0.0120  0.0711  0.3660  0.0424  0.12
Gornostaeva 1994   25  0.4764  0.0046  0.0645  0.0685  0.0286  0.03
Groot 1988   22  0.4760  0.0045  0.0548  0.0577  0.0367  0.04
Harasiewicz 1955   50  0.4242  0.0033  0.0636  0.1787  0.0245  0.06
Hatto 1993   73  0.3613  0.0216  0.0834  0.1963  0.0535  0.10
Hatto 1997   69  0.3715  0.0214  0.0728  0.2260  0.0533  0.10
Horowitz 1949   63  0.3827  0.0180  0.0382  0.0378  0.0380  0.03
Indjic 1988   68  0.3732  0.0015  0.0732  0.2052  0.0628  0.11
Kapell 1951   3  0.5429  0.005  0.125  0.4753  0.0515  0.15
Kissin 1993   6  0.537  0.038  0.0813  0.3345  0.0812  0.16
Kushner 1989   12  0.5156  0.0024  0.0614  0.3250  0.0714  0.15
Luisada 1991   62  0.3948  0.0059  0.0546  0.0568  0.0453  0.04
Lushtak 2004   35  0.4566  0.0026  0.0724  0.2863  0.0429  0.11
Malcuzynski 1961   4  0.545  0.047  0.0710  0.3646  0.0616  0.15
Magaloff 1978   9  0.514  0.056  0.078  0.3866  0.0422  0.12
Magin 1975   46  0.4321  0.0167  0.0463  0.0457  0.0455  0.04
Michalowski 1933   15  0.4946  0.0011  0.109  0.3714  0.403  0.38
Milkina 1970   40  0.4474  0.0070  0.0384  0.0387  0.0378  0.03
Mohovich 1999   55  0.4189  0.0062  0.0464  0.0465  0.0464  0.04
Moravec 1969   45  0.4377  0.0054  0.0465  0.0459  0.0452  0.04
Morozova 2008   65  0.3875  0.0072  0.0386  0.0382  0.0383  0.03
Neighaus 1950   5  0.536  0.034  0.143  0.4954  0.0513  0.16
Niedzielski 1931   44  0.4317  0.0153  0.0555  0.0565  0.0354  0.04
Ohlsson 1999   24  0.4719  0.0144  0.0542  0.1052  0.0540  0.07
Osinska 1989   11  0.5178  0.0021  0.0720  0.3149  0.0617  0.14
Pachmann 1927   30  0.4518  0.0136  0.0735  0.1818  0.437  0.28
Paderewski 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Perlemuter 1992   19  0.4816  0.0135  0.0830  0.2152  0.0625  0.11
Pierdomenico 2008   33  0.4520  0.0132  0.0827  0.2427  0.268  0.25
Poblocka 1999   26  0.4765  0.0022  0.0722  0.3084  0.0426  0.11
Rabcewiczowa 1932   14  0.5062  0.0028  0.0618  0.3132  0.209  0.25
Rachmaninoff 1923   77  0.3449  0.0073  0.0378  0.0387  0.0288  0.02
Rangell 2001   17  0.4910  0.029  0.0721  0.3025  0.305  0.30
Richter 1976   49  0.4357  0.0066  0.0470  0.0470  0.0456  0.04
Rosen 1989   31  0.4590  0.0038  0.0538  0.1483  0.0343  0.06
Rosenthal 1930   64  0.3879  0.0079  0.0385  0.0372  0.0384  0.03
Rosenthal 1931   87  0.2880  0.0086  0.0379  0.0380  0.0381  0.03
Rosenthal 1931b   81  0.3072  0.0084  0.0383  0.0383  0.0290  0.02
Rosenthal 1931c   51  0.4236  0.0047  0.0550  0.0546  0.0551  0.05
Rosenthal 1931d   80  0.3287  0.0085  0.0469  0.0480  0.0387  0.03
Rossi 2007   72  0.3735  0.0060  0.0460  0.0433  0.2136  0.09
Rubinstein 1939   84  0.2951  0.0083  0.0387  0.0376  0.0476  0.03
Rubinstein 1952   56  0.4169  0.0068  0.0458  0.0475  0.0468  0.04
Rubinstein 1966   42  0.4441  0.0049  0.0551  0.0567  0.0458  0.04
Schilhawsky 1960   29  0.4622  0.0127  0.0733  0.1958  0.0532  0.10
Shebanova 2002   21  0.4737  0.0010  0.0823  0.2848  0.0719  0.14
Smith 1975   23  0.4725  0.0125  0.0616  0.3265  0.0427  0.11
Sokolov 2002   37  0.4445  0.0065  0.0467  0.0477  0.0373  0.03
Sztompka 1959   2  0.571  0.301  0.292  0.5724  0.312  0.42
Tomsic 1995   57  0.4047  0.0071  0.0472  0.0450  0.0647  0.05
Uninsky 1932   41  0.4440  0.0042  0.0440  0.1170  0.0441  0.07
Uninsky 1971   27  0.4754  0.0030  0.0626  0.2555  0.0623  0.12
Wasowski 1980   32  0.4539  0.0037  0.0637  0.1579  0.0438  0.08
Zak 1937   70  0.3771  0.0076  0.0462  0.0484  0.0377  0.03
Zak 1951   71  0.3755  0.0074  0.0374  0.0381  0.0379  0.03
Random 1   90  -0.0859  0.0090  0.0190  0.0160  0.0489  0.02
Random 2   88  -0.0181  0.0088  0.0288  0.0223  0.2939  0.08
Random 3   89  -0.0384  0.0089  0.0189  0.0136  0.1185  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).