Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   15  0.6125  0.0018  0.0724  0.3819  0.4823  0.43
Anderszewski 2003   50  0.5031  0.0058  0.0557  0.0543  0.1263  0.08
Ashkenazy 1981   10  0.623  0.0911  0.0910  0.4816  0.4817  0.48
Bacha 2000   33  0.5526  0.0045  0.0554  0.054  0.6045  0.17
Badura 1965   46  0.5130  0.0044  0.0544  0.1010  0.5141  0.23
Barbosa 1983   48  0.5039  0.0029  0.0736  0.2216  0.4434  0.31
Biret 1990   35  0.5529  0.0037  0.0635  0.2224  0.3139  0.26
Blet 2003   37  0.5437  0.0049  0.0650  0.0614  0.4351  0.16
Block 1995   32  0.5638  0.0021  0.0827  0.377  0.5024  0.43
Blumental 1952   56  0.4810  0.0253  0.0651  0.0647  0.0668  0.06
Boshniakovich 1969   21  0.5911  0.019  0.1911  0.4810  0.5512  0.51
Brailowsky 1960   23  0.5741  0.0042  0.0543  0.134  0.6835  0.30
Bunin 1987   77  0.4173  0.0082  0.0287  0.0271  0.0488  0.03
Bunin 1987b   79  0.4082  0.0083  0.0473  0.0471  0.0477  0.04
Chiu 1999   29  0.5624  0.0035  0.0830  0.2812  0.5228  0.38
Cohen 1997   63  0.4685  0.0071  0.0478  0.048  0.5154  0.14
Cortot 1951   81  0.3880  0.0081  0.0386  0.0350  0.0584  0.04
Csalog 1996   60  0.4735  0.0050  0.0653  0.0618  0.4847  0.17
Czerny 1949   65  0.4579  0.0063  0.0469  0.0456  0.0582  0.04
Czerny 1990   28  0.5616  0.0133  0.1029  0.3433  0.2337  0.28
Duchoud 2007   70  0.4453  0.0075  0.0471  0.0479  0.0387  0.03
Ezaki 2006   6  0.639  0.0212  0.0923  0.3916  0.4525  0.42
Falvay 1989   3  0.674  0.097  0.188  0.542  0.726  0.62
Farrell 1958   43  0.5367  0.0046  0.0647  0.0617  0.4052  0.15
Ferenczy 1958   68  0.4466  0.0079  0.0468  0.0460  0.0481  0.04
Fliere 1977   4  0.672  0.192  0.282  0.692  0.692  0.69
Fou 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Francois 1956   45  0.5128  0.0032  0.0832  0.2523  0.4432  0.33
Friedman 1923   87  0.2874  0.0087  0.0475  0.0466  0.0585  0.04
Friedman 1923b   86  0.2989  0.0086  0.0474  0.0459  0.0583  0.04
Friedman 1930   84  0.3186  0.0085  0.0383  0.0347  0.0680  0.04
Garcia 2007   78  0.4057  0.0074  0.0472  0.0441  0.1366  0.07
Garcia 2007b   80  0.4075  0.0073  0.0382  0.0334  0.1470  0.06
Gierzod 1998   31  0.5619  0.0019  0.0722  0.4135  0.3429  0.37
Gornostaeva 1994   30  0.5648  0.0027  0.0826  0.3815  0.5421  0.45
Groot 1988   22  0.5932  0.0017  0.0820  0.423  0.5716  0.49
Harasiewicz 1955   12  0.618  0.035  0.186  0.586  0.538  0.55
Hatto 1993   59  0.4765  0.0059  0.0565  0.0532  0.1562  0.09
Hatto 1997   55  0.4943  0.0040  0.0741  0.1371  0.0465  0.07
Horowitz 1949   54  0.4923  0.0051  0.0555  0.0526  0.4353  0.15
Indjic 1988   58  0.4870  0.0060  0.0746  0.0734  0.1956  0.12
Kapell 1951   52  0.4913  0.0156  0.0564  0.0558  0.0476  0.04
Kissin 1993   1  0.701  0.301  0.301  0.732  0.741  0.73
Kushner 1989   8  0.6327  0.008  0.157  0.558  0.567  0.55
Luisada 1991   17  0.6052  0.0025  0.0916  0.4510  0.5414  0.49
Lushtak 2004   20  0.6022  0.0026  0.0719  0.4316  0.4820  0.45
Malcuzynski 1961   34  0.5559  0.0039  0.0738  0.2127  0.2840  0.24
Magaloff 1978   24  0.5733  0.0031  0.0925  0.388  0.4822  0.43
Magin 1975   39  0.5414  0.0134  0.0831  0.2622  0.3633  0.31
Michalowski 1933   85  0.2954  0.0084  0.0384  0.0377  0.0386  0.03
Milkina 1970   2  0.677  0.033  0.273  0.675  0.644  0.65
Mohovich 1999   11  0.6158  0.0015  0.1117  0.448  0.6510  0.53
Moravec 1969   62  0.4640  0.0065  0.0566  0.0543  0.1164  0.07
Morozova 2008   16  0.6146  0.0010  0.1113  0.473  0.5413  0.50
Neighaus 1950   27  0.5749  0.0030  0.0821  0.4220  0.4027  0.41
Niedzielski 1931   83  0.3371  0.0080  0.0385  0.0387  0.0289  0.02
Ohlsson 1999   42  0.5345  0.0036  0.0634  0.2334  0.3038  0.26
Osinska 1989   26  0.5772  0.0022  0.0918  0.4325  0.4226  0.42
Pachmann 1927   38  0.5456  0.0047  0.0561  0.051  0.7243  0.19
Paderewski 1930   67  0.4464  0.0069  0.0479  0.0431  0.2160  0.09
Perlemuter 1992   25  0.5768  0.0038  0.0737  0.218  0.5131  0.33
Pierdomenico 2008   61  0.4776  0.0054  0.0649  0.0616  0.4250  0.16
Poblocka 1999   36  0.5521  0.0041  0.0639  0.1541  0.1849  0.16
Rabcewiczowa 1932   64  0.4687  0.0061  0.0845  0.0837  0.1755  0.12
Rachmaninoff 1923   51  0.4920  0.0048  0.0558  0.0547  0.0673  0.05
Rangell 2001   49  0.5063  0.0024  0.0733  0.245  0.5430  0.36
Richter 1976   44  0.5217  0.0152  0.0556  0.0536  0.2558  0.11
Rosen 1989   7  0.6312  0.0113  0.099  0.518  0.589  0.54
Rosenthal 1930   76  0.4162  0.0078  0.0563  0.0539  0.1661  0.09
Rosenthal 1931   69  0.4418  0.0062  0.0652  0.065  0.6742  0.20
Rosenthal 1931b   74  0.4277  0.0067  0.0559  0.0510  0.6048  0.17
Rosenthal 1931c   75  0.4251  0.0068  0.0476  0.0428  0.3657  0.12
Rosenthal 1931d   72  0.4336  0.0066  0.0562  0.059  0.6244  0.18
Rossi 2007   82  0.3642  0.0076  0.0381  0.0327  0.2659  0.09
Rubinstein 1939   47  0.5015  0.0120  0.0640  0.144  0.5536  0.28
Rubinstein 1952   9  0.626  0.046  0.214  0.636  0.635  0.63
Rubinstein 1966   5  0.645  0.054  0.205  0.634  0.703  0.66
Schilhawsky 1960   73  0.4388  0.0077  0.0470  0.0474  0.0479  0.04
Shebanova 2002   19  0.6047  0.0023  0.0814  0.4516  0.4818  0.46
Smith 1975   40  0.5444  0.0043  0.0642  0.1335  0.2146  0.17
Sokolov 2002   53  0.4969  0.0064  0.0467  0.0447  0.0772  0.05
Sztompka 1959   41  0.5361  0.0057  0.0560  0.0570  0.0574  0.05
Tomsic 1995   18  0.6060  0.0028  0.0728  0.358  0.5919  0.45
Uninsky 1932   66  0.4578  0.0072  0.0477  0.0447  0.0775  0.05
Uninsky 1971   71  0.4355  0.0070  0.0480  0.0459  0.0578  0.04
Wasowski 1980   57  0.4881  0.0055  0.0648  0.0659  0.0571  0.05
Zak 1937   14  0.6150  0.0016  0.1415  0.459  0.5911  0.52
Zak 1951   13  0.6134  0.0014  0.1112  0.479  0.5215  0.49
Random 1   89  -0.0483  0.0089  0.0289  0.0232  0.1769  0.06
Random 2   90  -0.0784  0.0090  0.0190  0.0184  0.0290  0.01
Random 3   88  0.0090  0.0088  0.0288  0.0229  0.2367  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).