Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   12  0.5867  0.0029  0.0726  0.4437  0.2828  0.35
Anderszewski 2003   36  0.5227  0.0025  0.0736  0.2828  0.2933  0.28
Ashkenazy 1981   27  0.5325  0.0023  0.0722  0.4828  0.3821  0.43
Bacha 2000   75  0.3742  0.0071  0.0479  0.0468  0.0471  0.04
Badura 1965   47  0.4937  0.0041  0.0744  0.1524  0.3735  0.24
Barbosa 1983   53  0.4734  0.0051  0.0555  0.0540  0.1954  0.10
Biret 1990   52  0.4820  0.0044  0.0743  0.1546  0.0949  0.12
Blet 2003   39  0.5240  0.0047  0.0648  0.0627  0.2844  0.13
Block 1995   71  0.4272  0.0039  0.0845  0.1446  0.0658  0.09
Blumental 1952   63  0.4423  0.0048  0.0464  0.0440  0.1162  0.07
Boshniakovich 1969   19  0.5615  0.0132  0.1224  0.4623  0.3624  0.41
Brailowsky 1960   73  0.3950  0.0078  0.0478  0.0463  0.0573  0.04
Bunin 1987   10  0.585  0.046  0.1510  0.544  0.596  0.56
Bunin 1987b   13  0.5817  0.017  0.1611  0.544  0.584  0.56
Chiu 1999   67  0.4362  0.0057  0.0647  0.0656  0.0564  0.05
Cohen 1997   88  0.2355  0.0088  0.0472  0.0480  0.0388  0.03
Cortot 1951   31  0.5385  0.0042  0.0833  0.306  0.6222  0.43
Csalog 1996   76  0.3764  0.0075  0.0477  0.0459  0.0579  0.04
Czerny 1949   8  0.6174  0.0014  0.0816  0.5121  0.4516  0.48
Czerny 1990   21  0.5665  0.0034  0.1032  0.3349  0.0742  0.15
Duchoud 2007   65  0.4471  0.0055  0.0746  0.0732  0.2645  0.13
Ezaki 2006   23  0.5579  0.0043  0.0840  0.2350  0.0646  0.12
Falvay 1989   82  0.3551  0.0085  0.0289  0.0270  0.0484  0.03
Farrell 1958   69  0.4246  0.0066  0.0560  0.0551  0.0666  0.05
Ferenczy 1958   51  0.4847  0.0050  0.0653  0.0619  0.4040  0.15
Fliere 1977   2  0.6436  0.008  0.143  0.6030  0.4012  0.49
Fou 1978   68  0.4338  0.0070  0.0475  0.0471  0.0477  0.04
Francois 1956   46  0.4954  0.0058  0.0652  0.0650  0.0570  0.05
Friedman 1923   62  0.4482  0.0054  0.0650  0.0617  0.3943  0.15
Friedman 1923b   58  0.4587  0.0049  0.0554  0.0516  0.4641  0.15
Friedman 1930   41  0.5228  0.0037  0.0835  0.2814  0.4727  0.36
Garcia 2007   74  0.3881  0.0063  0.0561  0.0527  0.2747  0.12
Garcia 2007b   77  0.3729  0.0062  0.0470  0.0432  0.1761  0.08
Gierzod 1998   6  0.6241  0.0016  0.125  0.5827  0.4213  0.49
Gornostaeva 1994   57  0.4653  0.0073  0.0476  0.0468  0.0481  0.04
Groot 1988   50  0.4969  0.0056  0.0649  0.0655  0.0569  0.05
Harasiewicz 1955   4  0.6210  0.0113  0.118  0.5826  0.4017  0.48
Hatto 1993   44  0.5048  0.0012  0.1123  0.4619  0.3326  0.39
Hatto 1997   38  0.5218  0.019  0.1115  0.5214  0.4219  0.47
Horowitz 1949   14  0.576  0.0321  0.1013  0.523  0.691  0.60
Indjic 1988   43  0.5149  0.0010  0.1119  0.5014  0.4120  0.45
Kapell 1951   7  0.6126  0.005  0.146  0.5810  0.478  0.52
Kissin 1993   26  0.549  0.0128  0.0834  0.3036  0.1837  0.23
Kushner 1989   35  0.5231  0.0052  0.0557  0.0554  0.0667  0.05
Luisada 1991   48  0.4975  0.0059  0.0463  0.0462  0.0572  0.04
Lushtak 2004   17  0.564  0.0511  0.1125  0.4529  0.3723  0.41
Malcuzynski 1961   15  0.5776  0.0027  0.1029  0.3635  0.2432  0.29
Magaloff 1978   49  0.4924  0.0035  0.0841  0.1957  0.0551  0.10
Magin 1975   45  0.5056  0.0026  0.0839  0.2438  0.1539  0.19
Michalowski 1933   34  0.5219  0.0019  0.1014  0.524  0.577  0.54
Milkina 1970   59  0.4516  0.0168  0.0473  0.0464  0.0578  0.04
Mohovich 1999   55  0.4683  0.0064  0.0465  0.0472  0.0387  0.03
Moravec 1969   66  0.4366  0.0074  0.0383  0.0364  0.0482  0.03
Morozova 2008   29  0.5357  0.0045  0.0942  0.1756  0.0556  0.09
Neighaus 1950   25  0.5432  0.0031  0.1020  0.4845  0.1236  0.24
Niedzielski 1931   42  0.5214  0.0124  0.0727  0.436  0.609  0.51
Ohlsson 1999   20  0.5644  0.0022  0.0718  0.5030  0.3125  0.39
Osinska 1989   40  0.5286  0.0046  0.0558  0.0557  0.0563  0.05
Pachmann 1927   72  0.4130  0.0072  0.0474  0.0432  0.2453  0.10
Paderewski 1930   56  0.4645  0.0061  0.0559  0.0534  0.1952  0.10
Perlemuter 1992   33  0.5268  0.0038  0.0737  0.2727  0.3531  0.31
Pierdomenico 2008   84  0.3470  0.0079  0.0384  0.0362  0.0574  0.04
Poblocka 1999   3  0.633  0.062  0.202  0.628  0.513  0.56
Rabcewiczowa 1932   60  0.4559  0.0065  0.0556  0.0563  0.0476  0.04
Rachmaninoff 1923   24  0.558  0.0117  0.1221  0.4815  0.4618  0.47
Rangell 2001   85  0.3280  0.0077  0.0480  0.0480  0.0389  0.03
Richter 1976   9  0.602  0.074  0.147  0.585  0.622  0.60
Rosen 1989   61  0.4460  0.0067  0.0469  0.0482  0.0386  0.03
Rosenthal 1930   54  0.4652  0.0060  0.0467  0.0423  0.3548  0.12
Rosenthal 1931   78  0.3691  0.0083  0.0468  0.0442  0.1660  0.08
Rosenthal 1931b   79  0.3684  0.0080  0.0381  0.0334  0.2859  0.09
Rosenthal 1931c   64  0.4421  0.0069  0.0466  0.0434  0.3250  0.11
Rosenthal 1931d   81  0.3511  0.0181  0.0471  0.0430  0.2455  0.10
Rossi 2007   87  0.2989  0.0087  0.0387  0.0385  0.0383  0.03
Rubinstein 1939   86  0.3061  0.0086  0.0386  0.0364  0.0575  0.04
Rubinstein 1952   80  0.3658  0.0082  0.0382  0.0381  0.0490  0.03
Rubinstein 1966   70  0.4233  0.0076  0.0562  0.0564  0.0568  0.05
Schilhawsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Shebanova 2002   37  0.5212  0.0136  0.0731  0.3340  0.1538  0.22
Smith 1975   32  0.5213  0.0153  0.0651  0.0659  0.0465  0.05
Sokolov 2002   30  0.5343  0.0033  0.0830  0.3629  0.3129  0.33
Sztompka 1959   18  0.5673  0.0030  0.1028  0.4129  0.2630  0.33
Tomsic 1995   83  0.3578  0.0084  0.0385  0.0388  0.0385  0.03
Uninsky 1932   22  0.5535  0.0018  0.1117  0.519  0.5211  0.51
Uninsky 1971   5  0.627  0.023  0.254  0.597  0.545  0.56
Wasowski 1980   28  0.5322  0.0040  0.0738  0.2428  0.2734  0.25
Zak 1937   16  0.5663  0.0020  0.1012  0.5321  0.4414  0.48
Zak 1951   11  0.5839  0.0015  0.109  0.5719  0.4510  0.51
Average   1  0.721  0.561  0.561  0.8241  0.2815  0.48
Random 1   90  -0.0377  0.0090  0.0290  0.0243  0.1080  0.04
Random 2   89  -0.0190  0.0089  0.0288  0.0215  0.3957  0.09
Random 3   91  -0.0788  0.0091  0.0191  0.0187  0.0291  0.01

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).