Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   27  0.5651  0.0041  0.0843  0.1552  0.0556  0.09
Anderszewski 2003   47  0.5315  0.0138  0.0735  0.2532  0.2237  0.23
Ashkenazy 1981   37  0.5512  0.0130  0.0633  0.2745  0.1439  0.19
Bacha 2000   74  0.4283  0.0076  0.0383  0.0356  0.0571  0.04
Badura 1965   38  0.5537  0.0022  0.0821  0.398  0.5616  0.47
Barbosa 1983   72  0.4323  0.0061  0.0556  0.0579  0.0476  0.04
Biret 1990   49  0.5126  0.0057  0.0555  0.0554  0.0669  0.05
Blet 2003   45  0.5359  0.0048  0.0553  0.0533  0.1953  0.10
Block 1995   20  0.587  0.0212  0.1812  0.545  0.637  0.58
Blumental 1952   58  0.4819  0.0051  0.0651  0.0642  0.0964  0.07
Boshniakovich 1969   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Brailowsky 1960   52  0.5069  0.0068  0.0476  0.0438  0.2351  0.10
Bunin 1987   50  0.5163  0.0058  0.0558  0.0533  0.2350  0.11
Bunin 1987b   51  0.5081  0.0059  0.0565  0.0533  0.2447  0.11
Chiu 1999   71  0.4364  0.0069  0.0470  0.0467  0.0472  0.04
Cohen 1997   88  0.2976  0.0080  0.0385  0.0371  0.0486  0.03
Cortot 1951   64  0.4571  0.0074  0.0559  0.0543  0.1360  0.08
Csalog 1996   81  0.3827  0.0079  0.0469  0.0458  0.0578  0.04
Czerny 1949   46  0.5377  0.0049  0.0748  0.0747  0.0863  0.07
Czerny 1990   29  0.5666  0.0054  0.0560  0.0557  0.0568  0.05
Duchoud 2007   68  0.4329  0.0073  0.0473  0.0469  0.0479  0.04
Ezaki 2006   40  0.5484  0.0052  0.0467  0.0459  0.0570  0.04
Falvay 1989   61  0.4688  0.0078  0.0474  0.0469  0.0574  0.04
Farrell 1958   62  0.4675  0.0064  0.0472  0.0452  0.0666  0.05
Ferenczy 1958   79  0.3987  0.0083  0.0388  0.0378  0.0288  0.02
Fliere 1977   2  0.702  0.172  0.462  0.735  0.651  0.69
Fou 1978   16  0.5928  0.0010  0.1711  0.5512  0.4813  0.51
Francois 1956   63  0.4652  0.0072  0.0480  0.0463  0.0483  0.04
Friedman 1923   82  0.3872  0.0065  0.0564  0.0519  0.3943  0.14
Friedman 1923b   80  0.3879  0.0063  0.0561  0.0519  0.4041  0.14
Friedman 1930   65  0.4548  0.0062  0.0554  0.0537  0.1855  0.09
Garcia 2007   56  0.4925  0.0031  0.0637  0.234  0.7124  0.40
Garcia 2007b   67  0.4341  0.0056  0.0566  0.0516  0.4042  0.14
Gierzod 1998   6  0.6411  0.019  0.218  0.6617  0.498  0.57
Gornostaeva 1994   7  0.6431  0.0014  0.1314  0.5020  0.5015  0.50
Groot 1988   44  0.5450  0.0047  0.0746  0.0737  0.2345  0.13
Harasiewicz 1955   11  0.6140  0.003  0.163  0.6910  0.526  0.60
Hatto 1993   70  0.4373  0.0042  0.0640  0.1846  0.0846  0.12
Hatto 1997   75  0.4216  0.0044  0.0644  0.1250  0.0659  0.08
Horowitz 1949   32  0.5513  0.0129  0.0632  0.289  0.6121  0.41
Indjic 1988   69  0.4374  0.0043  0.0742  0.1649  0.0749  0.11
Kapell 1951   54  0.5067  0.0066  0.0557  0.0557  0.0567  0.05
Kissin 1993   5  0.658  0.018  0.1810  0.6017  0.519  0.55
Kushner 1989   8  0.649  0.0111  0.189  0.6117  0.4611  0.53
Luisada 1991   25  0.5735  0.0037  0.0629  0.2937  0.2633  0.27
Lushtak 2004   33  0.5542  0.0027  0.0930  0.2834  0.2436  0.26
Malcuzynski 1961   4  0.674  0.047  0.206  0.679  0.555  0.61
Magaloff 1978   21  0.5857  0.0023  0.0726  0.3123  0.3428  0.32
Magin 1975   13  0.6017  0.0026  0.0931  0.2830  0.2634  0.27
Michalowski 1933   55  0.4930  0.0055  0.0649  0.0635  0.2744  0.13
Milkina 1970   39  0.5444  0.0032  0.0627  0.3135  0.2931  0.30
Mohovich 1999   22  0.5853  0.0028  0.0822  0.3930  0.3526  0.37
Moravec 1969   83  0.3747  0.0086  0.0386  0.0386  0.0384  0.03
Morozova 2008   23  0.5822  0.0019  0.1020  0.4123  0.2927  0.34
Neighaus 1950   3  0.6714  0.014  0.215  0.682  0.663  0.67
Niedzielski 1931   59  0.4754  0.0067  0.0563  0.0542  0.1257  0.08
Ohlsson 1999   28  0.5634  0.0035  0.0538  0.1847  0.0748  0.11
Osinska 1989   9  0.6239  0.0017  0.0815  0.4827  0.4117  0.44
Pachmann 1927   43  0.5424  0.0045  0.0645  0.116  0.6335  0.26
Paderewski 1930   18  0.5933  0.0025  0.0728  0.312  0.5918  0.43
Perlemuter 1992   36  0.5543  0.0034  0.0636  0.2421  0.4029  0.31
Pierdomenico 2008   57  0.4856  0.0053  0.0471  0.0427  0.2752  0.10
Poblocka 1999   17  0.5961  0.0020  0.0824  0.3533  0.2530  0.30
Rabcewiczowa 1932   66  0.4560  0.0077  0.0381  0.0386  0.0385  0.03
Rachmaninoff 1923   73  0.4258  0.0070  0.0468  0.0474  0.0473  0.04
Rangell 2001   34  0.5518  0.0013  0.1213  0.512  0.6010  0.55
Richter 1976   19  0.5810  0.0121  0.0917  0.467  0.5812  0.52
Rosen 1989   14  0.6049  0.0018  0.0919  0.4217  0.4320  0.42
Rosenthal 1930   78  0.3965  0.0084  0.0478  0.0467  0.0580  0.04
Rosenthal 1931   87  0.3185  0.0088  0.0477  0.0457  0.0477  0.04
Rosenthal 1931b   85  0.3486  0.0085  0.0475  0.0455  0.0581  0.04
Rosenthal 1931c   77  0.4189  0.0082  0.0479  0.0449  0.0582  0.04
Rosenthal 1931d   84  0.3580  0.0087  0.0387  0.0361  0.0487  0.03
Rossi 2007   76  0.4191  0.0081  0.0384  0.0340  0.1561  0.07
Rubinstein 1939   86  0.3468  0.0075  0.0382  0.0348  0.0675  0.04
Rubinstein 1952   60  0.4646  0.0071  0.0650  0.0639  0.1754  0.10
Rubinstein 1966   53  0.5045  0.0046  0.0747  0.0734  0.2740  0.14
Schilhawsky 1960   30  0.5621  0.0024  0.0723  0.3624  0.4622  0.41
Shebanova 2002   10  0.6255  0.0016  0.1216  0.4728  0.3919  0.43
Smith 1975   31  0.5662  0.0036  0.0639  0.1837  0.2038  0.19
Sokolov 2002   42  0.5420  0.0050  0.0552  0.0559  0.0565  0.05
Sztompka 1959   26  0.5678  0.0040  0.0741  0.1775  0.0458  0.08
Tomsic 1995   48  0.5336  0.0060  0.0562  0.0543  0.1162  0.07
Uninsky 1932   41  0.5432  0.0039  0.0734  0.2626  0.3532  0.30
Uninsky 1971   24  0.576  0.0215  0.1318  0.4525  0.3523  0.40
Wasowski 1980   35  0.5538  0.0033  0.0525  0.3214  0.4425  0.38
Zak 1937   12  0.613  0.055  0.164  0.695  0.652  0.67
Zak 1951   15  0.605  0.036  0.247  0.676  0.584  0.62
Average   1  0.751  0.521  0.521  0.8537  0.3114  0.51
Random 1   90  -0.0582  0.0089  0.0189  0.0157  0.0490  0.02
Random 2   91  -0.0870  0.0091  0.0191  0.0168  0.0389  0.02
Random 3   89  -0.0390  0.0090  0.0190  0.0156  0.0491  0.02

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).