Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   23  0.4721  0.0031  0.0830  0.2982  0.0338  0.09
Anderszewski 2003   77  0.2949  0.0051  0.0649  0.0672  0.0357  0.04
Ashkenazy 1981   60  0.3581  0.0050  0.0462  0.0481  0.0379  0.03
Bacha 2000   28  0.4451  0.0037  0.0737  0.2143  0.1424  0.17
Badura 1965   53  0.3726  0.0040  0.0738  0.2152  0.0635  0.11
Barbosa 1983   41  0.4024  0.0026  0.1026  0.3541  0.1419  0.22
Biret 1990   8  0.5317  0.0110  0.1013  0.5143  0.1214  0.25
Blet 2003   22  0.4719  0.0130  0.0728  0.3243  0.1022  0.18
Block 1995   59  0.3522  0.0063  0.0468  0.0487  0.0277  0.03
Blumental 1952   76  0.2977  0.0065  0.0381  0.0384  0.0378  0.03
Boshniakovich 1969   49  0.3823  0.0059  0.0557  0.0568  0.0462  0.04
Brailowsky 1960   43  0.4056  0.0055  0.0555  0.0563  0.0547  0.05
Bunin 1987   72  0.3182  0.0078  0.0560  0.0583  0.0363  0.04
Bunin 1987b   74  0.3169  0.0077  0.0382  0.0383  0.0368  0.03
Chiu 1999   39  0.4120  0.0017  0.0719  0.4734  0.278  0.36
Cohen 1997   35  0.4128  0.0019  0.0821  0.444  0.544  0.49
Cortot 1951   71  0.3243  0.0074  0.0387  0.0381  0.0382  0.03
Csalog 1996   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1949   68  0.3289  0.0075  0.0383  0.0387  0.0286  0.02
Czerny 1990   29  0.4341  0.0035  0.0833  0.2558  0.0536  0.11
Duchoud 2007   38  0.4152  0.0046  0.0648  0.0644  0.1142  0.08
Ezaki 2006   37  0.4176  0.0053  0.0653  0.0679  0.0353  0.04
Falvay 1989   2  0.593  0.102  0.272  0.6816  0.522  0.59
Farrell 1958   48  0.3847  0.0061  0.0556  0.0582  0.0356  0.04
Ferenczy 1958   20  0.4718  0.0128  0.0827  0.3225  0.2910  0.30
Fliere 1977   15  0.5013  0.0116  0.1011  0.5775  0.0429  0.15
Fou 1978   24  0.4715  0.0115  0.0818  0.4853  0.0625  0.17
Francois 1956   45  0.3980  0.0047  0.0559  0.0558  0.0465  0.04
Friedman 1923   87  0.1084  0.0087  0.0375  0.0387  0.0289  0.02
Friedman 1923b   86  0.1030  0.0086  0.0379  0.0387  0.0288  0.02
Friedman 1930   85  0.1531  0.0085  0.0469  0.0486  0.0375  0.03
Garcia 2007   79  0.2842  0.0064  0.0380  0.0358  0.0561  0.04
Garcia 2007b   82  0.2285  0.0067  0.0376  0.0368  0.0485  0.03
Gierzod 1998   25  0.4588  0.0036  0.1029  0.2982  0.0339  0.09
Gornostaeva 1994   30  0.4333  0.0056  0.0745  0.0777  0.0264  0.04
Groot 1988   14  0.5032  0.0024  0.0825  0.3640  0.1617  0.24
Harasiewicz 1955   73  0.3172  0.0054  0.0650  0.0670  0.0452  0.05
Hatto 1993   69  0.3278  0.0034  0.0936  0.2256  0.0637  0.11
Hatto 1997   57  0.3564  0.0032  0.0635  0.2362  0.0534  0.11
Horowitz 1949   66  0.3339  0.0073  0.0373  0.0375  0.0370  0.03
Indjic 1988   63  0.3467  0.0033  0.1032  0.2650  0.0633  0.12
Kapell 1951   4  0.554  0.086  0.168  0.6262  0.0427  0.16
Kissin 1993   19  0.497  0.0411  0.099  0.5943  0.1113  0.25
Kushner 1989   18  0.4944  0.0027  0.1017  0.4859  0.0626  0.17
Luisada 1991   58  0.3525  0.0029  0.0734  0.2353  0.0632  0.12
Lushtak 2004   27  0.4454  0.0018  0.0923  0.4156  0.0530  0.14
Malcuzynski 1961   46  0.3962  0.0071  0.0465  0.0476  0.0369  0.03
Magaloff 1978   33  0.4253  0.0052  0.0652  0.0685  0.0355  0.04
Magin 1975   62  0.3445  0.0042  0.0644  0.1155  0.0443  0.07
Michalowski 1933   83  0.2148  0.0076  0.0385  0.0376  0.0473  0.03
Milkina 1970   10  0.5259  0.0012  0.1112  0.5262  0.0528  0.16
Mohovich 1999   17  0.5046  0.0025  0.1020  0.4547  0.0723  0.18
Moravec 1969   12  0.5129  0.0022  0.0824  0.4037  0.1712  0.26
Morozova 2008   67  0.3290  0.0049  0.0554  0.0574  0.0459  0.04
Neighaus 1950   55  0.3663  0.0066  0.0470  0.0487  0.0281  0.03
Niedzielski 1931   42  0.4027  0.0045  0.0746  0.0763  0.0350  0.05
Ohlsson 1999   26  0.4510  0.0113  0.0915  0.4943  0.1118  0.23
Osinska 1989   5  0.5414  0.017  0.207  0.6366  0.0521  0.18
Pachmann 1927   31  0.4237  0.0043  0.0539  0.1419  0.4016  0.24
Paderewski 1930   61  0.3457  0.0070  0.0471  0.0477  0.0371  0.03
Perlemuter 1992   50  0.3834  0.0044  0.0740  0.1461  0.0540  0.08
Pierdomenico 2008   54  0.3665  0.0060  0.0651  0.0664  0.0549  0.05
Poblocka 1999   3  0.575  0.064  0.211  0.7323  0.373  0.52
Rabcewiczowa 1932   47  0.3868  0.0057  0.0747  0.0781  0.0351  0.05
Rachmaninoff 1923   81  0.2575  0.0080  0.0374  0.0367  0.0466  0.03
Rangell 2001   32  0.4286  0.0041  0.0543  0.1465  0.0445  0.07
Richter 1976   40  0.4016  0.0138  0.0642  0.1454  0.0541  0.08
Rosen 1989   16  0.509  0.0323  0.0922  0.4166  0.0531  0.14
Rosenthal 1930   64  0.3373  0.0082  0.0466  0.0481  0.0376  0.03
Rosenthal 1931   80  0.2787  0.0084  0.0463  0.0476  0.0374  0.03
Rosenthal 1931b   78  0.2871  0.0083  0.0472  0.0485  0.0283  0.03
Rosenthal 1931c   51  0.3879  0.0069  0.0384  0.0379  0.0384  0.03
Rosenthal 1931d   70  0.3258  0.0081  0.0467  0.0479  0.0380  0.03
Rossi 2007   84  0.2050  0.0079  0.0378  0.0356  0.0554  0.04
Rubinstein 1939   36  0.4135  0.0014  0.0931  0.2822  0.329  0.30
Rubinstein 1952   1  0.611  0.361  0.353  0.6711  0.591  0.63
Rubinstein 1966   7  0.5338  0.005  0.1510  0.5829  0.345  0.44
Schilhawsky 1960   52  0.3770  0.0058  0.0558  0.0576  0.0458  0.04
Shebanova 2002   6  0.542  0.103  0.206  0.6332  0.276  0.41
Smith 1975   56  0.3555  0.0062  0.0464  0.0478  0.0367  0.03
Sokolov 2002   34  0.428  0.0348  0.0561  0.0559  0.0548  0.05
Sztompka 1959   65  0.3383  0.0072  0.0386  0.0384  0.0372  0.03
Tomsic 1995   11  0.5160  0.0020  0.1016  0.4938  0.1711  0.29
Uninsky 1932   75  0.3140  0.0068  0.0377  0.0366  0.0560  0.04
Uninsky 1971   44  0.396  0.0539  0.0641  0.1472  0.0444  0.07
Wasowski 1980   21  0.4712  0.0121  0.0714  0.5042  0.1215  0.24
Zak 1937   9  0.5336  0.008  0.134  0.6437  0.217  0.37
Zak 1951   13  0.5111  0.019  0.145  0.6446  0.0720  0.21
Random 1   89  -0.0561  0.0088  0.0288  0.0229  0.2146  0.06
Random 2   90  -0.0966  0.0090  0.0190  0.0183  0.0290  0.01
Random 3   88  -0.0374  0.0089  0.0189  0.0174  0.0387  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).