Afanassiev 2001

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Anderszewski 2003   40  0.7485  0.0050  0.0468  0.0414  0.3162  0.11
Ashkenazy 1981   45  0.7243  0.0035  0.0540  0.2015  0.3742  0.27
Bacha 2000   66  0.6241  0.0063  0.0550  0.0536  0.1270  0.08
Badura 1965   30  0.7728  0.0034  0.0539  0.2310  0.5435  0.35
Barbosa 1983   80  0.4822  0.0177  0.0374  0.0359  0.0486  0.03
Biret 1990   51  0.7030  0.0054  0.0460  0.0425  0.2465  0.10
Blet 2003   39  0.7566  0.0042  0.0642  0.167  0.4541  0.27
Block 1995   68  0.6139  0.0048  0.0376  0.0332  0.1571  0.07
Blumental 1952   54  0.698  0.0315  0.1028  0.307  0.3438  0.32
Boshniakovich 1969   21  0.796  0.0413  0.0916  0.409  0.5512  0.47
Brailowsky 1960   67  0.6159  0.0073  0.0379  0.0371  0.0385  0.03
Bunin 1987   72  0.5586  0.0069  0.0470  0.0423  0.3556  0.12
Bunin 1987b   73  0.5487  0.0068  0.0467  0.0423  0.3553  0.12
Chiu 1999   58  0.6636  0.0062  0.0549  0.0537  0.1866  0.09
Cohen 1997   86  0.4169  0.0087  0.0473  0.0455  0.0482  0.04
Cortot 1951   53  0.6962  0.0060  0.0554  0.0528  0.2857  0.12
Csalog 1996   83  0.4860  0.0076  0.0380  0.0366  0.0388  0.03
Czerny 1949   6  0.8434  0.006  0.194  0.532  0.614  0.57
Czerny 1990   8  0.8312  0.0212  0.1022  0.393  0.5416  0.46
Duchoud 2007   65  0.625  0.0446  0.0463  0.0411  0.3855  0.12
Ezaki 2006   14  0.8026  0.0128  0.0730  0.297  0.5424  0.40
Falvay 1989   78  0.5055  0.0086  0.0377  0.0362  0.0579  0.04
Farrell 1958   47  0.7118  0.0147  0.0466  0.0428  0.3060  0.11
Ferenczy 1958   57  0.6721  0.0161  0.0555  0.0513  0.3849  0.14
Fliere 1977   2  0.8713  0.015  0.165  0.524  0.4911  0.50
Fou 1978   27  0.7838  0.0038  0.0937  0.2610  0.4536  0.34
Francois 1956   49  0.7158  0.0052  0.0472  0.0410  0.4850  0.14
Friedman 1923   22  0.7970  0.0037  0.0635  0.2610  0.5332  0.37
Friedman 1923b   24  0.7978  0.0033  0.0532  0.2810  0.5431  0.39
Friedman 1930   36  0.7675  0.0043  0.0643  0.1419  0.4543  0.25
Garcia 2007   16  0.8083  0.0027  0.0933  0.274  0.5630  0.39
Garcia 2007b   38  0.7588  0.0036  0.0634  0.2712  0.4934  0.36
Gierzod 1998   3  0.861  0.181  0.182  0.593  0.672  0.63
Gornostaeva 1994   61  0.6344  0.0057  0.0648  0.0632  0.1963  0.11
Groot 1988   60  0.6553  0.0064  0.0551  0.0532  0.2564  0.11
Harasiewicz 1955   10  0.827  0.0314  0.1211  0.458  0.4913  0.47
Hatto 1993   28  0.7820  0.0123  0.0821  0.3914  0.4522  0.42
Hatto 1997   25  0.7967  0.0025  0.1023  0.3815  0.4129  0.39
Horowitz 1949   42  0.7337  0.0045  0.0557  0.0511  0.5145  0.16
Indjic 1988   23  0.7956  0.0024  0.1220  0.4014  0.4323  0.41
Kapell 1951   48  0.7148  0.0029  0.0731  0.2915  0.2740  0.28
Kissin 1993   1  0.883  0.152  0.221  0.612  0.711  0.66
Kushner 1989   29  0.7757  0.0041  0.0641  0.1920  0.4039  0.28
Luisada 1991   9  0.8211  0.0210  0.139  0.463  0.5510  0.50
Lushtak 2004   41  0.7479  0.0051  0.0462  0.0425  0.2269  0.09
Malcuzynski 1961   69  0.6116  0.0149  0.0469  0.0413  0.3361  0.11
Magaloff 1978   63  0.6224  0.0167  0.0646  0.0633  0.2259  0.11
Magin 1975   26  0.7823  0.019  0.148  0.461  0.596  0.52
Michalowski 1933   43  0.7240  0.0040  0.0938  0.248  0.5333  0.36
Milkina 1970   32  0.7614  0.0132  0.0726  0.319  0.4927  0.39
Mohovich 1999   44  0.7251  0.0044  0.0644  0.1123  0.4344  0.22
Moravec 1969   76  0.5252  0.0081  0.0382  0.0346  0.0774  0.05
Morozova 2008   18  0.8046  0.0026  0.0825  0.339  0.4728  0.39
Neighaus 1950   11  0.8147  0.0016  0.0914  0.4211  0.5017  0.46
Niedzielski 1931   33  0.7684  0.0030  0.0729  0.294  0.5425  0.40
Ohlsson 1999   34  0.7625  0.0120  0.1017  0.407  0.5414  0.46
Osinska 1989   35  0.7632  0.0039  0.0736  0.2619  0.4237  0.33
Pachmann 1927   56  0.6876  0.0065  0.0556  0.055  0.4748  0.15
Paderewski 1930   50  0.7063  0.0058  0.0552  0.0525  0.3154  0.12
Perlemuter 1992   20  0.8064  0.0031  0.0927  0.304  0.5026  0.39
Pierdomenico 2008   75  0.5373  0.0072  0.0471  0.0421  0.3651  0.12
Poblocka 1999   13  0.814  0.114  0.176  0.523  0.605  0.56
Rabcewiczowa 1932   52  0.7035  0.0053  0.0553  0.0518  0.3052  0.12
Rachmaninoff 1923   15  0.809  0.0319  0.1013  0.431  0.608  0.51
Rangell 2001   87  0.4168  0.0078  0.0381  0.0348  0.0583  0.04
Richter 1976   55  0.6842  0.0059  0.0559  0.0520  0.4747  0.15
Rosen 1989   31  0.7719  0.0122  0.1024  0.365  0.5720  0.45
Rosenthal 1930   71  0.5677  0.0070  0.0464  0.0426  0.2168  0.09
Rosenthal 1931   85  0.4789  0.0084  0.0287  0.0253  0.0587  0.03
Rosenthal 1931b   82  0.4880  0.0082  0.0285  0.0244  0.0884  0.04
Rosenthal 1931c   79  0.4890  0.0079  0.0383  0.0336  0.1872  0.07
Rosenthal 1931d   84  0.4881  0.0085  0.0378  0.0345  0.0776  0.05
Rossi 2007   74  0.5433  0.0080  0.0284  0.0247  0.0778  0.04
Rubinstein 1939   64  0.6217  0.0171  0.0461  0.0443  0.1073  0.06
Rubinstein 1952   81  0.4815  0.0175  0.0375  0.0345  0.1077  0.05
Rubinstein 1966   70  0.6029  0.0074  0.0465  0.0452  0.0581  0.04
Schilhawsky 1960   7  0.8350  0.008  0.1710  0.465  0.597  0.52
Shebanova 2002   4  0.852  0.153  0.193  0.573  0.633  0.60
Smith 1975   62  0.6349  0.0066  0.0558  0.0548  0.0575  0.05
Sokolov 2002   59  0.6545  0.0055  0.0645  0.0611  0.3846  0.15
Sztompka 1959   5  0.8527  0.017  0.147  0.494  0.549  0.51
Tomsic 1995   77  0.5154  0.0083  0.0288  0.0247  0.0880  0.04
Uninsky 1932   17  0.8061  0.0021  0.1015  0.405  0.5315  0.46
Uninsky 1971   37  0.7610  0.0211  0.1112  0.4410  0.4719  0.45
Wasowski 1980   46  0.7271  0.0056  0.0647  0.0624  0.2058  0.11
Zak 1937   12  0.8131  0.0018  0.0918  0.407  0.4921  0.44
Zak 1951   19  0.8065  0.0017  0.0919  0.405  0.5018  0.45
Random 1   90  -0.2572  0.0089  0.0189  0.0160  0.0389  0.02
Random 2   88  -0.0182  0.0088  0.0286  0.029  0.4367  0.09
Random 3   89  -0.2374  0.0090  0.0190  0.0179  0.0290  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).