Blumental 1952

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   30  0.3955  0.0030  0.0926  0.4112  0.5219  0.46
Anderszewski 2003   20  0.4225  0.0018  0.1015  0.5715  0.5812  0.57
Ashkenazy 1981   27  0.4183  0.0033  0.0734  0.2332  0.3137  0.27
Bacha 2000   9  0.477  0.048  0.1814  0.581  0.786  0.67
Badura 1965   57  0.3336  0.0049  0.0561  0.0548  0.0565  0.05
Barbosa 1983   7  0.4720  0.0113  0.1211  0.6117  0.4814  0.54
Biret 1990   60  0.3279  0.0067  0.0570  0.0555  0.0571  0.05
Blet 2003   67  0.3058  0.0064  0.0569  0.0570  0.0479  0.04
Block 1995   31  0.3926  0.0017  0.1021  0.4916  0.5116  0.50
Blumental 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Boshniakovich 1969   46  0.3552  0.0061  0.0655  0.0660  0.0568  0.05
Brailowsky 1960   3  0.492  0.193  0.237  0.684  0.744  0.71
Bunin 1987   62  0.3147  0.0055  0.0653  0.0642  0.1348  0.09
Bunin 1987b   63  0.3165  0.0056  0.0657  0.0643  0.1647  0.10
Chiu 1999   32  0.3860  0.0034  0.0836  0.2037  0.1640  0.18
Cohen 1997   68  0.2857  0.0069  0.0477  0.0444  0.1354  0.07
Cortot 1951   77  0.2589  0.0074  0.0474  0.0446  0.0772  0.05
Csalog 1996   78  0.2377  0.0080  0.0385  0.0382  0.0385  0.03
Czerny 1949   73  0.2678  0.0073  0.0660  0.0650  0.0658  0.06
Czerny 1990   10  0.463  0.064  0.134  0.7514  0.703  0.72
Duchoud 2007   86  0.1373  0.0087  0.0384  0.0383  0.0386  0.03
Ezaki 2006   16  0.4413  0.0220  0.0825  0.4423  0.5118  0.47
Falvay 1989   13  0.4516  0.0121  0.1117  0.5225  0.3421  0.42
Farrell 1958   79  0.2342  0.0078  0.0383  0.0373  0.0384  0.03
Ferenczy 1958   34  0.3722  0.0125  0.0924  0.457  0.7410  0.58
Fliere 1977   12  0.4514  0.0212  0.1313  0.5837  0.2524  0.38
Fou 1978   6  0.478  0.037  0.156  0.719  0.647  0.67
Francois 1956   84  0.1863  0.0084  0.0568  0.0577  0.0381  0.04
Friedman 1923   69  0.2844  0.0072  0.0750  0.0763  0.0561  0.06
Friedman 1923b   70  0.2864  0.0071  0.0573  0.0560  0.0569  0.05
Friedman 1930   64  0.3139  0.0043  0.0743  0.1335  0.2242  0.17
Garcia 2007   71  0.2737  0.0066  0.0562  0.0571  0.0480  0.04
Garcia 2007b   50  0.3480  0.0052  0.0748  0.0726  0.2844  0.14
Gierzod 1998   15  0.445  0.0410  0.1312  0.5814  0.5213  0.55
Gornostaeva 1994   66  0.3056  0.0068  0.0565  0.0559  0.0570  0.05
Groot 1988   18  0.4343  0.0019  0.0816  0.5429  0.3420  0.43
Harasiewicz 1955   17  0.4324  0.0016  0.1422  0.4841  0.1538  0.27
Hatto 1993   1  0.521  0.271  0.271  0.796  0.711  0.75
Hatto 1997   4  0.4840  0.006  0.165  0.738  0.598  0.66
Horowitz 1949   54  0.3419  0.0140  0.0637  0.2018  0.5233  0.32
Indjic 1988   2  0.516  0.042  0.212  0.778  0.682  0.72
Kapell 1951   23  0.4218  0.0123  0.1020  0.4934  0.2132  0.32
Kissin 1993   35  0.3769  0.0051  0.0656  0.0646  0.1050  0.08
Kushner 1989   8  0.4746  0.0014  0.179  0.6525  0.3617  0.48
Luisada 1991   22  0.4251  0.0031  0.0927  0.3623  0.3127  0.33
Lushtak 2004   43  0.3574  0.0059  0.0566  0.0552  0.0566  0.05
Malcuzynski 1961   14  0.449  0.0311  0.1410  0.6417  0.5011  0.57
Magaloff 1978   38  0.3661  0.0047  0.0651  0.0647  0.0563  0.05
Magin 1975   25  0.4175  0.0026  0.1030  0.3232  0.3529  0.33
Michalowski 1933   80  0.2259  0.0081  0.0382  0.0352  0.0678  0.04
Milkina 1970   28  0.4035  0.0029  0.0831  0.3133  0.3630  0.33
Mohovich 1999   29  0.4021  0.0128  0.0728  0.3535  0.3131  0.33
Moravec 1969   11  0.4610  0.039  0.188  0.675  0.639  0.65
Morozova 2008   47  0.3511  0.0335  0.0641  0.1471  0.0452  0.07
Neighaus 1950   81  0.2086  0.0083  0.0478  0.0487  0.0288  0.03
Niedzielski 1931   59  0.3215  0.0239  0.0735  0.2217  0.4435  0.31
Ohlsson 1999   74  0.2684  0.0075  0.0476  0.0458  0.0477  0.04
Osinska 1989   75  0.2687  0.0077  0.0381  0.0373  0.0482  0.03
Pachmann 1927   82  0.1967  0.0085  0.0571  0.0576  0.0476  0.04
Paderewski 1930   83  0.1971  0.0076  0.0380  0.0348  0.0675  0.04
Perlemuter 1992   72  0.2753  0.0070  0.0475  0.0469  0.0473  0.04
Pierdomenico 2008   85  0.1790  0.0079  0.0386  0.0381  0.0383  0.03
Poblocka 1999   26  0.4149  0.0027  0.0829  0.3333  0.2934  0.31
Rabcewiczowa 1932   65  0.3045  0.0058  0.0567  0.0545  0.0755  0.06
Rachmaninoff 1923   45  0.3527  0.0032  0.0832  0.2822  0.3928  0.33
Rangell 2001   76  0.2676  0.0082  0.0479  0.0486  0.0287  0.03
Richter 1976   51  0.3485  0.0063  0.0746  0.0750  0.0657  0.06
Rosen 1989   56  0.3370  0.0042  0.0740  0.1577  0.0353  0.07
Rosenthal 1930   40  0.3523  0.0044  0.0644  0.1216  0.6036  0.27
Rosenthal 1931   44  0.3541  0.0036  0.0733  0.2617  0.6023  0.39
Rosenthal 1931b   58  0.3329  0.0045  0.0658  0.0616  0.5839  0.19
Rosenthal 1931c   48  0.3448  0.0046  0.0654  0.0620  0.4843  0.17
Rosenthal 1931d   61  0.3166  0.0038  0.0738  0.2011  0.5726  0.34
Rossi 2007   87  0.0688  0.0086  0.0287  0.0279  0.0289  0.02
Rubinstein 1939   36  0.3731  0.0037  0.0742  0.1431  0.2141  0.17
Rubinstein 1952   39  0.3638  0.0053  0.0845  0.0856  0.0560  0.06
Rubinstein 1966   19  0.4232  0.0022  0.0819  0.5031  0.2325  0.34
Schilhawsky 1960   24  0.4217  0.0124  0.0923  0.474  0.6115  0.54
Shebanova 2002   21  0.4212  0.0215  0.1118  0.5031  0.3422  0.41
Smith 1975   42  0.3534  0.0057  0.0659  0.0634  0.2545  0.12
Sokolov 2002   52  0.3433  0.0062  0.0749  0.0743  0.1049  0.08
Sztompka 1959   49  0.3428  0.0041  0.0739  0.1745  0.0746  0.11
Tomsic 1995   55  0.3368  0.0065  0.0572  0.0566  0.0474  0.04
Uninsky 1932   41  0.3550  0.0050  0.0564  0.0542  0.1451  0.08
Uninsky 1971   5  0.474  0.055  0.143  0.755  0.665  0.70
Wasowski 1980   53  0.3462  0.0048  0.0652  0.0662  0.0562  0.05
Zak 1937   37  0.3772  0.0060  0.0563  0.0553  0.0564  0.05
Zak 1951   33  0.3830  0.0054  0.0747  0.0746  0.0656  0.06
Random 1   89  -0.0781  0.0089  0.0288  0.0238  0.1367  0.05
Random 2   88  0.0282  0.0088  0.0289  0.0236  0.1859  0.06
Random 3   90  -0.0954  0.0090  0.0190  0.0161  0.0390  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).