Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   33  0.5554  0.0035  0.0933  0.2837  0.2839  0.28
Anderszewski 2003   22  0.5870  0.0023  0.0721  0.4213  0.4921  0.45
Ashkenazy 1981   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bacha 2000   29  0.5548  0.0049  0.0552  0.052  0.6644  0.18
Badura 1965   47  0.5119  0.0139  0.0735  0.2411  0.5131  0.35
Barbosa 1983   72  0.4474  0.0069  0.0554  0.0563  0.0575  0.05
Biret 1990   27  0.5568  0.0042  0.0639  0.1931  0.2441  0.21
Blet 2003   55  0.4975  0.0066  0.0553  0.0531  0.1958  0.10
Block 1995   67  0.4544  0.0068  0.0550  0.0534  0.1960  0.10
Blumental 1952   21  0.5820  0.0126  0.0734  0.264  0.4732  0.35
Boshniakovich 1969   30  0.5560  0.0043  0.0644  0.1432  0.2743  0.19
Brailowsky 1960   70  0.4441  0.0080  0.0460  0.0446  0.0868  0.06
Bunin 1987   43  0.5284  0.0050  0.0646  0.0615  0.4545  0.16
Bunin 1987b   50  0.5177  0.0051  0.0466  0.0416  0.4348  0.13
Chiu 1999   36  0.5436  0.0038  0.0737  0.2215  0.4836  0.32
Cohen 1997   78  0.4225  0.0081  0.0467  0.0440  0.1963  0.09
Cortot 1951   63  0.4682  0.0067  0.0457  0.0419  0.4049  0.13
Csalog 1996   86  0.3590  0.0078  0.0381  0.0362  0.0487  0.03
Czerny 1949   61  0.4887  0.0054  0.0472  0.0455  0.0676  0.05
Czerny 1990   19  0.5827  0.0025  0.0728  0.3727  0.2935  0.33
Duchoud 2007   17  0.6033  0.0017  0.0817  0.442  0.7010  0.55
Ezaki 2006   18  0.5931  0.0032  0.0736  0.2339  0.1940  0.21
Falvay 1989   57  0.4914  0.0248  0.0549  0.0555  0.0674  0.05
Farrell 1958   59  0.4835  0.0074  0.0468  0.0463  0.0584  0.04
Ferenczy 1958   81  0.3966  0.0070  0.0378  0.0343  0.1372  0.06
Fliere 1977   10  0.6359  0.0015  0.1514  0.5119  0.4716  0.49
Fou 1978   13  0.623  0.106  0.1116  0.4810  0.4817  0.48
Francois 1956   76  0.4358  0.0056  0.0461  0.0437  0.2361  0.10
Friedman 1923   66  0.4551  0.0064  0.0473  0.0415  0.4150  0.13
Friedman 1923b   64  0.4626  0.0053  0.0463  0.0412  0.4747  0.14
Friedman 1930   52  0.5152  0.0041  0.0641  0.177  0.5537  0.31
Garcia 2007   79  0.4171  0.0077  0.0380  0.0333  0.2166  0.08
Garcia 2007b   71  0.4445  0.0071  0.0471  0.0422  0.3253  0.11
Gierzod 1998   12  0.6253  0.0011  0.1212  0.5312  0.5213  0.52
Gornostaeva 1994   60  0.4873  0.0060  0.0379  0.0359  0.0488  0.03
Groot 1988   51  0.5137  0.0045  0.0551  0.0547  0.0678  0.05
Harasiewicz 1955   25  0.5718  0.0116  0.1413  0.5224  0.4019  0.46
Hatto 1993   7  0.654  0.094  0.184  0.643  0.654  0.64
Hatto 1997   11  0.6343  0.008  0.118  0.553  0.5412  0.54
Horowitz 1949   31  0.5522  0.0136  0.0832  0.286  0.6324  0.42
Indjic 1988   4  0.658  0.045  0.242  0.653  0.663  0.65
Kapell 1951   32  0.5516  0.0128  0.0723  0.4122  0.3729  0.39
Kissin 1993   9  0.647  0.057  0.156  0.6212  0.597  0.60
Kushner 1989   8  0.646  0.0514  0.137  0.585  0.636  0.60
Luisada 1991   5  0.6529  0.0012  0.119  0.553  0.638  0.59
Lushtak 2004   26  0.5747  0.0029  0.0625  0.3920  0.4625  0.42
Malcuzynski 1961   40  0.5212  0.0237  0.0843  0.1526  0.2842  0.20
Magaloff 1978   42  0.5238  0.0046  0.0745  0.0749  0.0569  0.06
Magin 1975   3  0.662  0.122  0.203  0.651  0.712  0.68
Michalowski 1933   41  0.5234  0.0018  0.0824  0.411  0.7011  0.54
Milkina 1970   38  0.5342  0.0047  0.0648  0.0654  0.0670  0.06
Mohovich 1999   48  0.5162  0.0057  0.0647  0.0656  0.0673  0.06
Moravec 1969   62  0.4779  0.0055  0.0475  0.0422  0.3352  0.11
Morozova 2008   14  0.6213  0.0213  0.1315  0.506  0.5115  0.50
Neighaus 1950   15  0.6128  0.0010  0.1210  0.549  0.5114  0.52
Niedzielski 1931   69  0.4515  0.0127  0.0738  0.2210  0.5233  0.34
Ohlsson 1999   1  0.681  0.181  0.185  0.632  0.645  0.63
Osinska 1989   54  0.4972  0.0065  0.0462  0.0478  0.0480  0.04
Pachmann 1927   85  0.3683  0.0085  0.0288  0.0255  0.0586  0.03
Paderewski 1930   56  0.4969  0.0063  0.0382  0.0315  0.3256  0.10
Perlemuter 1992   49  0.5167  0.0052  0.0459  0.0429  0.2554  0.10
Pierdomenico 2008   65  0.4657  0.0072  0.0376  0.0323  0.3255  0.10
Poblocka 1999   28  0.5561  0.0019  0.0819  0.4216  0.4126  0.41
Rabcewiczowa 1932   73  0.4385  0.0073  0.0470  0.0455  0.0583  0.04
Rachmaninoff 1923   44  0.5211  0.0221  0.0718  0.4310  0.4820  0.45
Rangell 2001   68  0.4580  0.0075  0.0456  0.0447  0.0677  0.05
Richter 1976   39  0.5323  0.0140  0.0740  0.1813  0.4738  0.29
Rosen 1989   34  0.5424  0.0144  0.0942  0.1740  0.1446  0.15
Rosenthal 1930   75  0.4363  0.0076  0.0383  0.0328  0.3159  0.10
Rosenthal 1931   83  0.3676  0.0083  0.0385  0.0332  0.3157  0.10
Rosenthal 1931b   82  0.3755  0.0082  0.0377  0.0331  0.3064  0.09
Rosenthal 1931c   74  0.4356  0.0079  0.0464  0.0438  0.2065  0.09
Rosenthal 1931d   84  0.3686  0.0084  0.0386  0.0340  0.1667  0.07
Rossi 2007   87  0.2981  0.0087  0.0465  0.0469  0.0481  0.04
Rubinstein 1939   80  0.3946  0.0086  0.0469  0.0451  0.0582  0.04
Rubinstein 1952   77  0.4321  0.0158  0.0474  0.0454  0.0585  0.04
Rubinstein 1966   45  0.5232  0.0059  0.0458  0.0450  0.0871  0.06
Schilhawsky 1960   37  0.5330  0.0033  0.0727  0.3821  0.4823  0.43
Shebanova 2002   2  0.665  0.083  0.201  0.705  0.691  0.69
Smith 1975   24  0.5749  0.0030  0.0830  0.3416  0.4330  0.38
Sokolov 2002   16  0.6010  0.0322  0.0729  0.368  0.4727  0.41
Sztompka 1959   6  0.659  0.049  0.1211  0.544  0.569  0.55
Tomsic 1995   58  0.4864  0.0061  0.0555  0.0539  0.1562  0.09
Uninsky 1932   35  0.5417  0.0124  0.0822  0.4211  0.5118  0.46
Uninsky 1971   46  0.5239  0.0034  0.0831  0.3425  0.3434  0.34
Wasowski 1980   53  0.4950  0.0062  0.0384  0.0352  0.0679  0.04
Zak 1937   20  0.5865  0.0031  0.0826  0.3819  0.4428  0.41
Zak 1951   23  0.5740  0.0020  0.0820  0.4219  0.4522  0.43
Random 1   90  -0.0778  0.0090  0.0190  0.0171  0.0390  0.02
Random 2   89  -0.0488  0.0089  0.0189  0.0161  0.0489  0.02
Random 3   88  0.0389  0.0088  0.0387  0.034  0.5051  0.12

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).