Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   39  0.4585  0.0059  0.0459  0.0469  0.0384  0.03
Anderszewski 2003   16  0.5413  0.026  0.118  0.5023  0.397  0.44
Ashkenazy 1981   38  0.4555  0.0032  0.0634  0.1950  0.0542  0.10
Bacha 2000   51  0.4371  0.0036  0.0637  0.1635  0.2525  0.20
Badura 1965   59  0.4150  0.0063  0.0373  0.0363  0.0572  0.04
Barbosa 1983   67  0.3748  0.0054  0.0551  0.0576  0.0467  0.04
Biret 1990   46  0.4442  0.0057  0.0552  0.0558  0.0562  0.05
Blet 2003   49  0.4325  0.0048  0.0646  0.0633  0.1938  0.11
Block 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Blumental 1952   81  0.3219  0.0137  0.0641  0.1157  0.0452  0.07
Boshniakovich 1969   1  0.584  0.073  0.184  0.6311  0.541  0.58
Brailowsky 1960   13  0.553  0.0710  0.1214  0.4418  0.484  0.46
Bunin 1987   69  0.3665  0.0083  0.0380  0.0362  0.0486  0.03
Bunin 1987b   71  0.3569  0.0084  0.0383  0.0367  0.0479  0.03
Chiu 1999   53  0.4239  0.0053  0.0553  0.0557  0.0558  0.05
Cohen 1997   87  0.2660  0.0065  0.0467  0.0467  0.0473  0.04
Cortot 1951   44  0.4431  0.0064  0.0457  0.0440  0.1454  0.07
Csalog 1996   73  0.3541  0.0076  0.0287  0.0268  0.0482  0.03
Czerny 1949   65  0.3886  0.0073  0.0284  0.0281  0.0388  0.02
Czerny 1990   28  0.4953  0.0042  0.0443  0.0976  0.0361  0.05
Duchoud 2007   72  0.3587  0.0082  0.0381  0.0383  0.0385  0.03
Ezaki 2006   20  0.5226  0.0028  0.0830  0.2359  0.0537  0.11
Falvay 1989   24  0.5121  0.0130  0.0728  0.2642  0.1428  0.19
Farrell 1958   45  0.4480  0.0035  0.0633  0.2035  0.1729  0.18
Ferenczy 1958   42  0.4467  0.0066  0.0460  0.0439  0.1650  0.08
Fliere 1977   2  0.582  0.132  0.161  0.6939  0.259  0.42
Fou 1978   10  0.5611  0.039  0.107  0.5027  0.378  0.43
Francois 1956   66  0.3882  0.0081  0.0285  0.0287  0.0289  0.02
Friedman 1923   80  0.3278  0.0070  0.0466  0.0430  0.2047  0.09
Friedman 1923b   79  0.3357  0.0069  0.0471  0.0432  0.2146  0.09
Friedman 1930   76  0.3451  0.0071  0.0377  0.0365  0.0569  0.04
Garcia 2007   52  0.4366  0.0045  0.0455  0.0410  0.5135  0.14
Garcia 2007b   83  0.3074  0.0068  0.0375  0.0339  0.1157  0.06
Gierzod 1998   37  0.4656  0.0033  0.0632  0.2058  0.0541  0.10
Gornostaeva 1994   7  0.5723  0.017  0.1115  0.4226  0.3611  0.39
Groot 1988   6  0.575  0.074  0.116  0.5120  0.425  0.46
Harasiewicz 1955   4  0.581  0.211  0.202  0.6726  0.343  0.48
Hatto 1993   82  0.3161  0.0072  0.0468  0.0470  0.0574  0.04
Hatto 1997   85  0.2972  0.0075  0.0376  0.0370  0.0483  0.03
Horowitz 1949   35  0.4746  0.0039  0.0536  0.1736  0.3421  0.24
Indjic 1988   84  0.3077  0.0074  0.0374  0.0383  0.0381  0.03
Kapell 1951   33  0.478  0.0423  0.0831  0.2169  0.0443  0.09
Kissin 1993   9  0.5622  0.0118  0.1118  0.3842  0.1127  0.20
Kushner 1989   8  0.5616  0.028  0.125  0.5634  0.2313  0.36
Luisada 1991   25  0.5032  0.0029  0.0821  0.3443  0.1423  0.22
Lushtak 2004   41  0.4434  0.0052  0.0548  0.0546  0.0756  0.06
Malcuzynski 1961   15  0.5527  0.0017  0.0920  0.3635  0.2117  0.27
Magaloff 1978   18  0.5435  0.0021  0.0922  0.3333  0.2118  0.26
Magin 1975   27  0.4943  0.0025  0.0826  0.2641  0.1132  0.17
Michalowski 1933   77  0.3470  0.0067  0.0458  0.0462  0.0566  0.04
Milkina 1970   22  0.5288  0.0022  0.0923  0.3241  0.1524  0.22
Mohovich 1999   3  0.5810  0.035  0.153  0.6417  0.532  0.58
Moravec 1969   60  0.4114  0.0255  0.0456  0.0478  0.0376  0.03
Morozova 2008   40  0.4549  0.0047  0.0550  0.0564  0.0468  0.04
Neighaus 1950   21  0.5212  0.0212  0.119  0.4829  0.2314  0.33
Niedzielski 1931   55  0.4238  0.0044  0.0544  0.0930  0.3131  0.17
Ohlsson 1999   58  0.4133  0.0060  0.0462  0.0480  0.0380  0.03
Osinska 1989   5  0.5718  0.0119  0.1010  0.4742  0.1916  0.30
Pachmann 1927   63  0.3973  0.0078  0.0379  0.0347  0.0759  0.05
Paderewski 1930   62  0.4037  0.0056  0.0461  0.0461  0.0465  0.04
Perlemuter 1992   19  0.5317  0.0115  0.1012  0.4514  0.446  0.44
Pierdomenico 2008   61  0.4079  0.0043  0.0542  0.1052  0.0748  0.08
Poblocka 1999   11  0.557  0.0416  0.0911  0.4643  0.1222  0.23
Rabcewiczowa 1932   57  0.4162  0.0062  0.0470  0.0460  0.0564  0.04
Rachmaninoff 1923   47  0.4454  0.0046  0.0549  0.0572  0.0463  0.04
Rangell 2001   29  0.496  0.0413  0.1117  0.4117  0.3712  0.39
Richter 1976   12  0.5524  0.0124  0.0925  0.2727  0.3515  0.31
Rosen 1989   14  0.5520  0.0111  0.1113  0.4523  0.3910  0.42
Rosenthal 1930   70  0.3559  0.0087  0.0463  0.0467  0.0471  0.04
Rosenthal 1931   75  0.3583  0.0080  0.0469  0.0442  0.1549  0.08
Rosenthal 1931b   78  0.3390  0.0085  0.0382  0.0347  0.0675  0.04
Rosenthal 1931c   74  0.3584  0.0086  0.0372  0.0371  0.0487  0.03
Rosenthal 1931d   68  0.3781  0.0079  0.0378  0.0338  0.1853  0.07
Rossi 2007   64  0.3845  0.0051  0.0554  0.0519  0.3833  0.14
Rubinstein 1939   86  0.2764  0.0077  0.0286  0.0252  0.0578  0.03
Rubinstein 1952   50  0.4315  0.0231  0.0638  0.1635  0.2030  0.18
Rubinstein 1966   43  0.4430  0.0038  0.0540  0.1354  0.0740  0.10
Schilhawsky 1960   56  0.4258  0.0050  0.0645  0.0644  0.1444  0.09
Shebanova 2002   17  0.5428  0.0020  0.1016  0.4268  0.0534  0.14
Smith 1975   26  0.5076  0.0026  0.0824  0.2955  0.0536  0.12
Sokolov 2002   54  0.4240  0.0058  0.0465  0.0471  0.0377  0.03
Sztompka 1959   30  0.499  0.0414  0.1019  0.3733  0.1720  0.25
Tomsic 1995   23  0.5244  0.0027  0.0729  0.2328  0.2819  0.25
Uninsky 1932   48  0.4329  0.0061  0.0464  0.0461  0.0570  0.04
Uninsky 1971   36  0.4652  0.0049  0.0647  0.0657  0.0655  0.06
Wasowski 1980   31  0.4947  0.0034  0.0727  0.2637  0.1626  0.20
Zak 1937   34  0.4736  0.0041  0.0539  0.1367  0.0451  0.07
Zak 1951   32  0.4763  0.0040  0.0535  0.1958  0.0539  0.10
Random 1   89  -0.0389  0.0088  0.0288  0.026  0.4245  0.09
Random 2   90  -0.0875  0.0090  0.0190  0.0180  0.0290  0.01
Random 3   88  -0.0168  0.0089  0.0289  0.0232  0.1460  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).