Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   24  0.4819  0.0136  0.0532  0.3374  0.0341  0.10
Anderszewski 2003   32  0.4635  0.0031  0.0624  0.3864  0.0433  0.12
Ashkenazy 1981   4  0.557  0.036  0.123  0.6653  0.0515  0.18
Bacha 2000   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Badura 1965   79  0.3256  0.0067  0.0473  0.0471  0.0475  0.04
Barbosa 1983   42  0.4359  0.0026  0.0625  0.3750  0.0624  0.15
Biret 1990   6  0.5330  0.0022  0.1019  0.4255  0.0621  0.16
Blet 2003   55  0.4038  0.0066  0.0562  0.0577  0.0373  0.04
Block 1995   47  0.4379  0.0033  0.0536  0.2538  0.1612  0.20
Blumental 1952   26  0.488  0.0120  0.1011  0.5236  0.158  0.28
Boshniakovich 1969   52  0.4226  0.0059  0.0556  0.0583  0.0376  0.04
Brailowsky 1960   10  0.5343  0.0019  0.1121  0.4122  0.424  0.41
Bunin 1987   78  0.3290  0.0084  0.0478  0.0488  0.0287  0.03
Bunin 1987b   80  0.3270  0.0083  0.0381  0.0387  0.0290  0.02
Chiu 1999   21  0.4949  0.0012  0.138  0.5327  0.362  0.44
Cohen 1997   29  0.4714  0.0123  0.0728  0.366  0.523  0.43
Cortot 1951   65  0.3855  0.0077  0.0470  0.0464  0.0478  0.04
Csalog 1996   40  0.4472  0.0041  0.0744  0.1438  0.2117  0.17
Czerny 1949   62  0.3815  0.0156  0.0747  0.0781  0.0357  0.05
Czerny 1990   46  0.4367  0.0051  0.0746  0.0785  0.0360  0.05
Duchoud 2007   39  0.4457  0.0050  0.0648  0.0671  0.0459  0.05
Ezaki 2006   7  0.533  0.077  0.124  0.6068  0.0422  0.15
Falvay 1989   14  0.5216  0.0125  0.0731  0.3467  0.0527  0.13
Farrell 1958   22  0.4953  0.0042  0.0839  0.2059  0.0540  0.10
Ferenczy 1958   49  0.4321  0.0137  0.0742  0.1548  0.0542  0.09
Fliere 1977   30  0.4739  0.0030  0.0730  0.3579  0.0336  0.10
Fou 1978   3  0.5512  0.0111  0.125  0.6055  0.0516  0.17
Francois 1956   53  0.4110  0.0149  0.0653  0.0660  0.0462  0.05
Friedman 1923   86  0.2675  0.0087  0.0384  0.0370  0.0580  0.04
Friedman 1923b   85  0.2688  0.0086  0.0382  0.0370  0.0488  0.03
Friedman 1930   87  0.2587  0.0085  0.0288  0.0280  0.0484  0.03
Garcia 2007   73  0.3546  0.0068  0.0472  0.0476  0.0385  0.03
Garcia 2007b   77  0.3482  0.0061  0.0557  0.0571  0.0479  0.04
Gierzod 1998   8  0.536  0.055  0.136  0.5845  0.1010  0.24
Gornostaeva 1994   37  0.4424  0.0058  0.0649  0.0676  0.0377  0.04
Groot 1988   18  0.5061  0.0029  0.0933  0.3370  0.0435  0.11
Harasiewicz 1955   67  0.3737  0.0043  0.0740  0.1784  0.0248  0.06
Hatto 1993   27  0.485  0.053  0.1613  0.5045  0.1011  0.22
Hatto 1997   20  0.4923  0.008  0.1317  0.4668  0.0426  0.14
Horowitz 1949   69  0.3786  0.0078  0.0474  0.0488  0.0281  0.03
Indjic 1988   23  0.4920  0.014  0.1214  0.4965  0.0519  0.16
Kapell 1951   35  0.4618  0.0135  0.0829  0.3574  0.0432  0.12
Kissin 1993   50  0.4285  0.0053  0.0651  0.0659  0.0553  0.05
Kushner 1989   12  0.529  0.0114  0.1220  0.4259  0.0618  0.16
Luisada 1991   19  0.494  0.069  0.1112  0.5241  0.226  0.34
Lushtak 2004   41  0.4351  0.0044  0.0743  0.1581  0.0346  0.07
Malcuzynski 1961   36  0.4629  0.0046  0.0650  0.0653  0.0552  0.05
Magaloff 1978   16  0.5140  0.0021  0.0923  0.3964  0.0431  0.12
Magin 1975   63  0.3891  0.0052  0.0652  0.0670  0.0451  0.05
Michalowski 1933   88  0.2466  0.0071  0.0385  0.0368  0.0572  0.04
Milkina 1970   2  0.582  0.082  0.312  0.6832  0.331  0.47
Mohovich 1999   15  0.5233  0.0018  0.1016  0.4859  0.0525  0.15
Moravec 1969   43  0.4344  0.0057  0.0654  0.0658  0.0449  0.05
Morozova 2008   57  0.3964  0.0038  0.0641  0.1581  0.0345  0.07
Neighaus 1950   17  0.5073  0.0027  0.0726  0.3660  0.0530  0.13
Niedzielski 1931   60  0.3852  0.0060  0.0560  0.0563  0.0368  0.04
Ohlsson 1999   13  0.5232  0.0015  0.1010  0.5362  0.0423  0.15
Osinska 1989   38  0.4469  0.0039  0.0738  0.2263  0.0537  0.10
Pachmann 1927   59  0.3836  0.0073  0.0386  0.0360  0.0570  0.04
Paderewski 1930   64  0.3827  0.0076  0.0477  0.0476  0.0383  0.03
Perlemuter 1992   76  0.3545  0.0064  0.0564  0.0573  0.0463  0.04
Pierdomenico 2008   70  0.3665  0.0069  0.0475  0.0463  0.0567  0.04
Poblocka 1999   51  0.4248  0.0034  0.0635  0.2681  0.0438  0.10
Rabcewiczowa 1932   54  0.4154  0.0054  0.0558  0.0573  0.0469  0.04
Rachmaninoff 1923   81  0.3162  0.0080  0.0565  0.0584  0.0366  0.04
Rangell 2001   33  0.4658  0.0040  0.0837  0.2358  0.0534  0.11
Richter 1976   82  0.3080  0.0082  0.0380  0.0373  0.0382  0.03
Rosen 1989   11  0.5325  0.0010  0.1315  0.4839  0.159  0.27
Rosenthal 1930   83  0.2989  0.0088  0.0476  0.0487  0.0286  0.03
Rosenthal 1931   75  0.3541  0.0075  0.0479  0.0448  0.0655  0.05
Rosenthal 1931b   66  0.3734  0.0070  0.0469  0.0446  0.0661  0.05
Rosenthal 1931c   71  0.3660  0.0079  0.0471  0.0485  0.0389  0.03
Rosenthal 1931d   61  0.3871  0.0074  0.0387  0.0337  0.1943  0.08
Rossi 2007   84  0.2763  0.0081  0.0566  0.0571  0.0465  0.04
Rubinstein 1939   45  0.4342  0.0048  0.0563  0.0524  0.3228  0.13
Rubinstein 1952   25  0.4876  0.0017  0.1018  0.4426  0.365  0.40
Rubinstein 1966   5  0.5413  0.0116  0.099  0.5342  0.187  0.31
Schilhawsky 1960   68  0.3750  0.0062  0.0468  0.0479  0.0474  0.04
Shebanova 2002   9  0.5381  0.0013  0.127  0.5455  0.0520  0.16
Smith 1975   44  0.4317  0.0132  0.0634  0.2757  0.0439  0.10
Sokolov 2002   48  0.4328  0.0055  0.0555  0.0586  0.0364  0.04
Sztompka 1959   56  0.3984  0.0072  0.0383  0.0367  0.0571  0.04
Tomsic 1995   34  0.4631  0.0045  0.0645  0.1168  0.0544  0.07
Uninsky 1932   74  0.3547  0.0065  0.0567  0.0564  0.0556  0.05
Uninsky 1971   58  0.3911  0.0147  0.0559  0.0569  0.0554  0.05
Wasowski 1980   72  0.3674  0.0063  0.0561  0.0552  0.0650  0.05
Zak 1937   28  0.4877  0.0028  0.0727  0.3657  0.0529  0.13
Zak 1951   31  0.4622  0.0124  0.0622  0.3946  0.0913  0.19
Average   1  0.621  0.461  0.451  0.8269  0.0414  0.18
Random 1   91  -0.1178  0.0091  0.0191  0.0186  0.0291  0.01
Random 2   90  -0.0268  0.0090  0.0289  0.0239  0.1558  0.05
Random 3   89  0.0183  0.0089  0.0290  0.0223  0.2747  0.07

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).