Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   7  0.5930  0.0010  0.098  0.5229  0.3615  0.43
Anderszewski 2003   63  0.4360  0.0057  0.0561  0.0563  0.0473  0.04
Ashkenazy 1981   17  0.5417  0.0014  0.0912  0.5123  0.4213  0.46
Bacha 2000   78  0.3582  0.0073  0.0564  0.0567  0.0556  0.05
Badura 1965   21  0.5411  0.0120  0.1222  0.4215  0.4317  0.42
Barbosa 1983   43  0.4912  0.0146  0.0751  0.0734  0.2540  0.13
Biret 1990   47  0.4731  0.0056  0.0652  0.0680  0.0467  0.05
Blet 2003   22  0.5355  0.0045  0.0843  0.1624  0.3031  0.22
Block 1995   62  0.4346  0.0054  0.0562  0.0565  0.0475  0.04
Blumental 1952   39  0.5062  0.0028  0.0636  0.2423  0.2730  0.25
Boshniakovich 1969   18  0.5433  0.0029  0.0626  0.3534  0.2627  0.30
Brailowsky 1960   77  0.3688  0.0081  0.0384  0.0379  0.0380  0.03
Bunin 1987   28  0.5232  0.0038  0.0724  0.3717  0.4420  0.40
Bunin 1987b   32  0.5176  0.0039  0.1025  0.3718  0.4319  0.40
Chiu 1999   56  0.4572  0.0062  0.0479  0.0450  0.0659  0.05
Cohen 1997   88  0.1685  0.0086  0.0288  0.0260  0.0486  0.03
Cortot 1951   27  0.5269  0.0043  0.0937  0.2410  0.5622  0.37
Csalog 1996   83  0.3167  0.0078  0.0567  0.0578  0.0372  0.04
Czerny 1949   6  0.6024  0.007  0.147  0.5716  0.507  0.53
Czerny 1990   4  0.6121  0.008  0.185  0.6718  0.446  0.54
Duchoud 2007   53  0.4642  0.0048  0.0568  0.0527  0.3541  0.13
Ezaki 2006   14  0.5578  0.0034  0.0631  0.2651  0.0642  0.12
Falvay 1989   76  0.3784  0.0079  0.0385  0.0383  0.0382  0.03
Farrell 1958   72  0.3970  0.0071  0.0474  0.0474  0.0384  0.03
Ferenczy 1958   59  0.4479  0.0042  0.0644  0.1330  0.2435  0.18
Fliere 1977   8  0.5823  0.0018  0.0910  0.5149  0.0636  0.17
Fou 1978   57  0.4565  0.0068  0.0748  0.0778  0.0461  0.05
Francois 1956   65  0.4351  0.0066  0.0659  0.0675  0.0379  0.04
Friedman 1923   45  0.4868  0.0011  0.0819  0.445  0.628  0.52
Friedman 1923b   44  0.4838  0.009  0.1115  0.486  0.634  0.55
Friedman 1930   49  0.4752  0.0023  0.0823  0.4010  0.5212  0.46
Garcia 2007   64  0.4377  0.0063  0.0475  0.0416  0.3846  0.12
Garcia 2007b   69  0.4249  0.0058  0.0656  0.0622  0.3339  0.14
Gierzod 1998   31  0.513  0.0215  0.1016  0.4741  0.3121  0.38
Gornostaeva 1994   52  0.4659  0.0067  0.0750  0.0771  0.0366  0.05
Groot 1988   58  0.4436  0.0069  0.0946  0.0987  0.0368  0.05
Harasiewicz 1955   5  0.6010  0.014  0.194  0.6920  0.453  0.56
Hatto 1993   67  0.4281  0.0032  0.0935  0.2552  0.0647  0.12
Hatto 1997   66  0.4344  0.0031  0.0634  0.2552  0.0644  0.12
Horowitz 1949   33  0.5116  0.0041  0.0642  0.1626  0.4529  0.27
Indjic 1988   61  0.4366  0.0026  0.0733  0.2566  0.0548  0.11
Kapell 1951   13  0.5519  0.0016  0.1214  0.5026  0.3616  0.42
Kissin 1993   19  0.547  0.0135  0.0730  0.2655  0.0643  0.12
Kushner 1989   30  0.5125  0.0049  0.0560  0.0549  0.0753  0.06
Luisada 1991   37  0.508  0.0153  0.0653  0.0666  0.0557  0.05
Lushtak 2004   55  0.4541  0.0047  0.0749  0.0756  0.0555  0.06
Malcuzynski 1961   9  0.5713  0.015  0.176  0.6012  0.495  0.54
Magaloff 1978   68  0.4222  0.0060  0.0473  0.0481  0.0381  0.03
Magin 1975   34  0.5147  0.0030  0.0538  0.2244  0.0937  0.14
Michalowski 1933   20  0.5439  0.0012  0.0813  0.507  0.529  0.51
Milkina 1970   54  0.4543  0.0055  0.0654  0.0672  0.0462  0.05
Mohovich 1999   46  0.4886  0.0061  0.0477  0.0464  0.0477  0.04
Moravec 1969   42  0.495  0.0127  0.0545  0.1330  0.2434  0.18
Morozova 2008   10  0.5734  0.0019  0.1220  0.4436  0.1828  0.28
Neighaus 1950   35  0.5145  0.0033  0.0727  0.3275  0.0449  0.11
Niedzielski 1931   36  0.5127  0.0037  0.0739  0.2114  0.4926  0.32
Ohlsson 1999   51  0.4661  0.0025  0.0640  0.2145  0.1038  0.14
Osinska 1989   48  0.4783  0.0065  0.0563  0.0547  0.0752  0.06
Pachmann 1927   81  0.3356  0.0083  0.0472  0.0474  0.0471  0.04
Paderewski 1930   60  0.4440  0.0064  0.0471  0.0441  0.1151  0.07
Perlemuter 1992   26  0.5353  0.0044  0.0741  0.1932  0.2333  0.21
Pierdomenico 2008   75  0.3728  0.0076  0.0569  0.0557  0.0660  0.05
Poblocka 1999   16  0.5448  0.0017  0.1121  0.4428  0.3023  0.36
Rabcewiczowa 1932   23  0.5350  0.0036  0.0728  0.3020  0.3724  0.33
Rachmaninoff 1923   11  0.562  0.026  0.2011  0.5112  0.4811  0.49
Rangell 2001   73  0.3837  0.0074  0.0470  0.0464  0.0578  0.04
Richter 1976   24  0.5318  0.0040  0.0832  0.2618  0.4325  0.33
Rosen 1989   50  0.4729  0.0059  0.0657  0.0665  0.0565  0.05
Rosenthal 1930   70  0.4163  0.0072  0.0476  0.0454  0.0664  0.05
Rosenthal 1931   84  0.2764  0.0084  0.0381  0.0386  0.0290  0.02
Rosenthal 1931b   86  0.2673  0.0085  0.0382  0.0374  0.0387  0.03
Rosenthal 1931c   82  0.3289  0.0082  0.0383  0.0377  0.0388  0.03
Rosenthal 1931d   87  0.2587  0.0088  0.0380  0.0385  0.0291  0.02
Rossi 2007   79  0.3475  0.0077  0.0566  0.0551  0.0558  0.05
Rubinstein 1939   85  0.2654  0.0087  0.0387  0.0373  0.0483  0.03
Rubinstein 1952   80  0.3371  0.0080  0.0386  0.0373  0.0489  0.03
Rubinstein 1966   74  0.3874  0.0075  0.0565  0.0577  0.0474  0.04
Schilhawsky 1960   12  0.5557  0.0013  0.089  0.5217  0.5110  0.51
Shebanova 2002   25  0.5315  0.0124  0.0629  0.2967  0.0545  0.12
Smith 1975   41  0.4914  0.0150  0.0658  0.0673  0.0369  0.04
Sokolov 2002   29  0.5120  0.0021  0.0818  0.4523  0.3618  0.40
Sztompka 1959   3  0.654  0.013  0.443  0.693  0.582  0.63
Tomsic 1995   71  0.4180  0.0070  0.0478  0.0477  0.0470  0.04
Uninsky 1932   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1971   1  0.781  0.801  0.791  0.881  0.841  0.86
Wasowski 1980   15  0.549  0.0122  0.0917  0.4612  0.4514  0.45
Zak 1937   38  0.5035  0.0052  0.0847  0.0858  0.0554  0.06
Zak 1951   40  0.4926  0.0051  0.0655  0.0671  0.0463  0.05
Average   2  0.696  0.012  0.342  0.8055  0.0632  0.22
Random 1   91  -0.0490  0.0091  0.0191  0.0132  0.1876  0.04
Random 2   89  -0.0158  0.0089  0.0289  0.0211  0.4150  0.09
Random 3   90  -0.0491  0.0090  0.0190  0.0141  0.0885  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).