Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   8  0.6233  0.004  0.115  0.5317  0.505  0.51
Anderszewski 2003   39  0.5366  0.0041  0.0541  0.1231  0.2443  0.17
Ashkenazy 1981   7  0.6219  0.006  0.127  0.5116  0.508  0.50
Bacha 2000   79  0.3981  0.0070  0.0381  0.0341  0.1573  0.07
Badura 1965   13  0.594  0.028  0.129  0.492  0.663  0.57
Barbosa 1983   42  0.5331  0.0027  0.0537  0.1721  0.3832  0.25
Biret 1990   58  0.5072  0.0048  0.0561  0.0541  0.1570  0.09
Blet 2003   41  0.5371  0.0059  0.0563  0.0531  0.2163  0.10
Block 1995   65  0.4586  0.0066  0.0465  0.0451  0.0584  0.04
Blumental 1952   44  0.5312  0.0128  0.0438  0.1624  0.2738  0.21
Boshniakovich 1969   17  0.5849  0.0021  0.0723  0.2920  0.4119  0.34
Brailowsky 1960   62  0.4851  0.0067  0.0471  0.0426  0.3852  0.12
Bunin 1987   61  0.4936  0.0046  0.0647  0.0627  0.3248  0.14
Bunin 1987b   59  0.4916  0.0045  0.0642  0.1225  0.3439  0.20
Chiu 1999   16  0.589  0.0120  0.0816  0.388  0.6010  0.48
Cohen 1997   88  0.2855  0.0088  0.0472  0.0450  0.0585  0.04
Cortot 1951   64  0.4562  0.0078  0.0478  0.0436  0.1872  0.08
Csalog 1996   87  0.3275  0.0079  0.0475  0.0455  0.0583  0.04
Czerny 1949   23  0.5663  0.0015  0.1214  0.4220  0.4515  0.43
Czerny 1990   6  0.6222  0.003  0.118  0.5014  0.519  0.50
Duchoud 2007   55  0.5030  0.0040  0.0539  0.1313  0.4733  0.25
Ezaki 2006   5  0.6332  0.009  0.0915  0.4021  0.4216  0.41
Falvay 1989   49  0.5154  0.0060  0.0466  0.0444  0.1374  0.07
Farrell 1958   46  0.525  0.0155  0.0470  0.0421  0.3454  0.12
Ferenczy 1958   78  0.4087  0.0087  0.0382  0.0362  0.0488  0.03
Fliere 1977   4  0.6321  0.005  0.113  0.5521  0.466  0.50
Fou 1978   10  0.6127  0.0011  0.134  0.5414  0.477  0.50
Francois 1956   66  0.4479  0.0058  0.0553  0.0536  0.2560  0.11
Friedman 1923   73  0.4260  0.0076  0.0564  0.0520  0.3750  0.14
Friedman 1923b   71  0.4344  0.0073  0.0558  0.0520  0.4049  0.14
Friedman 1930   63  0.4648  0.0068  0.0557  0.0535  0.2264  0.10
Garcia 2007   75  0.4028  0.0075  0.0479  0.0421  0.3258  0.11
Garcia 2007b   72  0.4276  0.0071  0.0474  0.0420  0.3457  0.12
Gierzod 1998   31  0.5423  0.0023  0.0719  0.3343  0.2427  0.28
Gornostaeva 1994   47  0.5111  0.0157  0.0560  0.0542  0.1569  0.09
Groot 1988   48  0.5118  0.0018  0.0926  0.2825  0.3820  0.33
Harasiewicz 1955   14  0.5867  0.0026  0.0529  0.2550  0.0656  0.12
Hatto 1993   35  0.5456  0.0031  0.0525  0.2821  0.2431  0.26
Hatto 1997   29  0.5483  0.0032  0.0627  0.2727  0.2728  0.27
Horowitz 1949   60  0.4926  0.0063  0.0555  0.0521  0.5044  0.16
Indjic 1988   37  0.5377  0.0033  0.0924  0.2825  0.2430  0.26
Kapell 1951   52  0.5158  0.0043  0.0644  0.1240  0.1846  0.15
Kissin 1993   9  0.6150  0.0016  0.1113  0.4421  0.4712  0.45
Kushner 1989   2  0.652  0.022  0.352  0.693  0.661  0.67
Luisada 1991   3  0.6420  0.0010  0.1018  0.3724  0.4417  0.40
Lushtak 2004   19  0.5710  0.0134  0.0732  0.2237  0.1840  0.20
Malcuzynski 1961   50  0.5141  0.0049  0.0562  0.0544  0.1471  0.08
Magaloff 1978   56  0.5073  0.0056  0.0468  0.0474  0.0481  0.04
Magin 1975   12  0.6070  0.0012  0.1221  0.3125  0.3321  0.32
Michalowski 1933   69  0.4369  0.0069  0.0651  0.0637  0.2555  0.12
Milkina 1970   22  0.567  0.017  0.1110  0.4816  0.4711  0.47
Mohovich 1999   51  0.5188  0.0051  0.0649  0.0653  0.0777  0.06
Moravec 1969   74  0.4113  0.0161  0.0559  0.0534  0.2061  0.10
Morozova 2008   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Neighaus 1950   30  0.5424  0.0025  0.0622  0.3131  0.2329  0.27
Niedzielski 1931   85  0.3652  0.0084  0.0287  0.0269  0.0390  0.02
Ohlsson 1999   21  0.5629  0.0019  0.0817  0.3832  0.3018  0.34
Osinska 1989   36  0.5325  0.0024  0.0831  0.2340  0.2036  0.21
Pachmann 1927   83  0.3784  0.0085  0.0385  0.0355  0.0682  0.04
Paderewski 1930   82  0.3889  0.0086  0.0383  0.0387  0.0387  0.03
Perlemuter 1992   25  0.5540  0.0036  0.0533  0.2017  0.4323  0.29
Pierdomenico 2008   68  0.4374  0.0072  0.0469  0.0431  0.2462  0.10
Poblocka 1999   27  0.5534  0.0044  0.0740  0.1343  0.1745  0.15
Rabcewiczowa 1932   54  0.5057  0.0054  0.0652  0.0628  0.2553  0.12
Rachmaninoff 1923   18  0.5835  0.0014  0.106  0.526  0.554  0.53
Rangell 2001   80  0.3917  0.0074  0.0473  0.0460  0.0586  0.04
Richter 1976   28  0.5546  0.0029  0.0445  0.1026  0.3741  0.19
Rosen 1989   33  0.5437  0.0022  0.0820  0.3126  0.3322  0.32
Rosenthal 1930   70  0.4343  0.0065  0.0477  0.0430  0.3159  0.11
Rosenthal 1931   77  0.4065  0.0077  0.0467  0.0419  0.5347  0.15
Rosenthal 1931b   84  0.3647  0.0081  0.0384  0.0327  0.3665  0.10
Rosenthal 1931c   76  0.4038  0.0080  0.0476  0.0438  0.2366  0.10
Rosenthal 1931d   86  0.3445  0.0082  0.0386  0.0343  0.1478  0.06
Rossi 2007   81  0.3853  0.0083  0.0288  0.0248  0.0780  0.04
Rubinstein 1939   57  0.5015  0.0162  0.0648  0.069  0.4742  0.17
Rubinstein 1952   67  0.4314  0.0164  0.0480  0.0445  0.1175  0.07
Rubinstein 1966   24  0.5539  0.0038  0.0634  0.2023  0.4325  0.29
Schilhawsky 1960   43  0.5364  0.0050  0.0556  0.0542  0.1767  0.09
Shebanova 2002   15  0.586  0.0113  0.0911  0.4523  0.4613  0.45
Smith 1975   38  0.5368  0.0047  0.0646  0.0652  0.0776  0.06
Sokolov 2002   26  0.5561  0.0030  0.0530  0.2527  0.3324  0.29
Sztompka 1959   11  0.618  0.0117  0.0912  0.4416  0.4314  0.43
Tomsic 1995   53  0.503  0.0242  0.0643  0.1214  0.4535  0.23
Uninsky 1932   20  0.5778  0.0037  0.0536  0.1820  0.4426  0.28
Uninsky 1971   45  0.5259  0.0053  0.0650  0.0661  0.0579  0.05
Wasowski 1980   34  0.5442  0.0052  0.0554  0.0524  0.3151  0.12
Zak 1937   40  0.5380  0.0039  0.0535  0.1937  0.2337  0.21
Zak 1951   32  0.5482  0.0035  0.0628  0.2741  0.2134  0.24
Average   1  0.741  0.791  0.781  0.8717  0.492  0.65
Random 1   91  -0.0790  0.0091  0.0191  0.0167  0.0391  0.02
Random 2   89  0.0085  0.0089  0.0289  0.0212  0.4168  0.09
Random 3   90  -0.0491  0.0090  0.0290  0.0254  0.0489  0.03

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).