Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   11  0.6024  0.0014  0.0714  0.4435  0.3220  0.38
Anderszewski 2003   19  0.5716  0.0111  0.0813  0.4618  0.4411  0.45
Ashkenazy 1981   9  0.6010  0.0117  0.099  0.4730  0.3616  0.41
Bacha 2000   70  0.4332  0.0077  0.0386  0.0355  0.0571  0.04
Badura 1965   59  0.4746  0.0023  0.0539  0.1823  0.3733  0.26
Barbosa 1983   71  0.4335  0.0057  0.0556  0.0549  0.0667  0.05
Biret 1990   7  0.6019  0.0029  0.0620  0.3917  0.4019  0.39
Blet 2003   52  0.5072  0.0053  0.0557  0.0530  0.2251  0.10
Block 1995   75  0.4255  0.0066  0.0372  0.0366  0.0490  0.03
Blumental 1952   64  0.4418  0.0056  0.0747  0.0746  0.0661  0.06
Boshniakovich 1969   33  0.5448  0.0046  0.0559  0.0552  0.0569  0.05
Brailowsky 1960   74  0.4273  0.0083  0.0379  0.0365  0.0573  0.04
Bunin 1987   25  0.5614  0.017  0.1111  0.468  0.536  0.49
Bunin 1987b   27  0.5547  0.008  0.1015  0.448  0.528  0.48
Chiu 1999   79  0.3878  0.0072  0.0374  0.0365  0.0483  0.03
Cohen 1997   88  0.3069  0.0088  0.0467  0.0453  0.0577  0.04
Cortot 1951   56  0.4958  0.0055  0.0558  0.0521  0.3846  0.14
Csalog 1996   73  0.4212  0.0163  0.0560  0.0562  0.0568  0.05
Czerny 1949   20  0.5715  0.0115  0.0819  0.4224  0.4115  0.41
Czerny 1990   17  0.5837  0.0031  0.0826  0.3352  0.0644  0.14
Duchoud 2007   6  0.6042  0.0012  0.0917  0.437  0.565  0.49
Ezaki 2006   4  0.616  0.025  0.144  0.5211  0.512  0.51
Falvay 1989   54  0.4933  0.0044  0.0545  0.1262  0.0554  0.08
Farrell 1958   57  0.4856  0.0068  0.0469  0.0457  0.0574  0.04
Ferenczy 1958   62  0.4541  0.0062  0.0651  0.0624  0.3342  0.14
Fliere 1977   16  0.5844  0.0030  0.0624  0.3552  0.0640  0.14
Fou 1978   53  0.4974  0.0059  0.0748  0.0768  0.0466  0.05
Francois 1956   31  0.5411  0.0132  0.0632  0.2618  0.4923  0.36
Friedman 1923   86  0.3263  0.0079  0.0380  0.0351  0.0681  0.04
Friedman 1923b   85  0.3282  0.0078  0.0383  0.0350  0.0678  0.04
Friedman 1930   80  0.3868  0.0070  0.0468  0.0456  0.0575  0.04
Garcia 2007   83  0.3485  0.0080  0.0465  0.0461  0.0476  0.04
Garcia 2007b   87  0.3190  0.0081  0.0388  0.0388  0.0291  0.02
Gierzod 1998   8  0.6017  0.0018  0.098  0.4740  0.3218  0.39
Gornostaeva 1994   13  0.595  0.0320  0.127  0.4818  0.533  0.50
Groot 1988   40  0.5252  0.0048  0.0463  0.0466  0.0480  0.04
Harasiewicz 1955   26  0.554  0.032  0.233  0.5522  0.447  0.49
Hatto 1993   55  0.4989  0.0039  0.0743  0.1338  0.1545  0.14
Hatto 1997   38  0.5239  0.0025  0.0733  0.2621  0.3230  0.29
Horowitz 1949   69  0.4376  0.0074  0.0385  0.0359  0.0486  0.03
Indjic 1988   50  0.5079  0.0028  0.0538  0.1927  0.2334  0.21
Kapell 1951   5  0.6122  0.0010  0.0810  0.4711  0.4510  0.46
Kissin 1993   23  0.5725  0.0038  0.0737  0.2039  0.1737  0.18
Kushner 1989   3  0.6126  0.0016  0.0821  0.3928  0.3224  0.35
Luisada 1991   47  0.5130  0.0049  0.0653  0.0656  0.0657  0.06
Lushtak 2004   48  0.5167  0.0027  0.0531  0.2948  0.0743  0.14
Malcuzynski 1961   10  0.6028  0.0021  0.0622  0.3721  0.3226  0.34
Magaloff 1978   24  0.5634  0.0041  0.0736  0.2138  0.1735  0.19
Magin 1975   14  0.589  0.0113  0.0816  0.4419  0.4214  0.43
Michalowski 1933   61  0.4631  0.0036  0.0734  0.256  0.5421  0.37
Milkina 1970   22  0.5720  0.0043  0.0641  0.1549  0.0749  0.10
Mohovich 1999   32  0.5445  0.0040  0.0740  0.1760  0.0553  0.09
Moravec 1969   67  0.4466  0.0065  0.0373  0.0353  0.0482  0.03
Morozova 2008   28  0.5549  0.0024  0.0627  0.3330  0.2529  0.29
Neighaus 1950   15  0.5840  0.0026  0.0625  0.3434  0.2132  0.27
Niedzielski 1931   72  0.4277  0.0071  0.0371  0.0354  0.0485  0.03
Ohlsson 1999   2  0.673  0.053  0.272  0.5813  0.491  0.53
Osinska 1989   39  0.5243  0.0047  0.0561  0.0548  0.0664  0.05
Pachmann 1927   82  0.3561  0.0086  0.0375  0.0369  0.0488  0.03
Paderewski 1930   66  0.4460  0.0076  0.0378  0.0368  0.0487  0.03
Perlemuter 1992   49  0.5171  0.0033  0.0630  0.2919  0.4125  0.34
Pierdomenico 2008   63  0.4538  0.0067  0.0466  0.0430  0.2448  0.10
Poblocka 1999   34  0.5491  0.0051  0.0649  0.0677  0.0465  0.05
Rabcewiczowa 1932   46  0.5121  0.0045  0.0742  0.1437  0.1838  0.16
Rachmaninoff 1923   30  0.548  0.016  0.156  0.489  0.504  0.49
Rangell 2001   60  0.4762  0.0069  0.0470  0.0459  0.0579  0.04
Richter 1976   41  0.5229  0.0037  0.0835  0.2122  0.4028  0.29
Rosen 1989   51  0.5053  0.0060  0.0746  0.0764  0.0560  0.06
Rosenthal 1930   36  0.5364  0.0050  0.0464  0.0412  0.5939  0.15
Rosenthal 1931   76  0.4088  0.0082  0.0376  0.0332  0.3150  0.10
Rosenthal 1931b   78  0.3970  0.0084  0.0384  0.0340  0.1955  0.08
Rosenthal 1931c   45  0.5150  0.0054  0.0652  0.0613  0.6036  0.19
Rosenthal 1931d   77  0.3981  0.0085  0.0377  0.0345  0.1163  0.06
Rossi 2007   84  0.3313  0.0175  0.0387  0.0325  0.2852  0.09
Rubinstein 1939   81  0.3580  0.0087  0.0382  0.0381  0.0384  0.03
Rubinstein 1952   68  0.4327  0.0064  0.0562  0.0558  0.0570  0.05
Rubinstein 1966   65  0.4457  0.0073  0.0381  0.0382  0.0489  0.03
Schilhawsky 1960   37  0.5365  0.0035  0.0929  0.3130  0.3627  0.33
Shebanova 2002   42  0.5275  0.0058  0.0554  0.0546  0.0758  0.06
Smith 1975   21  0.577  0.0219  0.1112  0.4618  0.4213  0.44
Sokolov 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sztompka 1959   12  0.6051  0.0022  0.0818  0.4223  0.3122  0.36
Tomsic 1995   43  0.5223  0.0052  0.0650  0.0626  0.2947  0.13
Uninsky 1932   44  0.5136  0.009  0.0723  0.3618  0.4517  0.40
Uninsky 1971   18  0.582  0.064  0.265  0.5217  0.449  0.48
Wasowski 1980   58  0.4854  0.0061  0.0555  0.0570  0.0472  0.04
Zak 1937   35  0.5383  0.0042  0.0644  0.1342  0.1541  0.14
Zak 1951   29  0.5484  0.0034  0.0828  0.3234  0.2331  0.27
Average   1  0.741  0.631  0.621  0.8642  0.2412  0.45
Random 1   91  -0.0159  0.0089  0.0189  0.015  0.4656  0.07
Random 2   89  0.0186  0.0090  0.0190  0.0116  0.3959  0.06
Random 3   90  0.0087  0.0091  0.0191  0.0118  0.3262  0.06

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).