Biret 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   17  0.7045  0.0032  0.0626  0.2461  0.0448  0.10
Anderszewski 2003   20  0.706  0.0414  0.1218  0.3817  0.3017  0.34
Ashkenazy 1981   32  0.6758  0.0040  0.0437  0.1572  0.0459  0.08
Bacha 2000   10  0.7438  0.0024  0.0623  0.3012  0.4014  0.35
Badura 1965   77  0.519  0.0284  0.0463  0.0456  0.0582  0.04
Barbosa 1983   67  0.5456  0.0023  0.0735  0.1812  0.3727  0.26
Biret 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Blet 2003   45  0.637  0.0418  0.0824  0.2710  0.3919  0.32
Block 1995   82  0.4943  0.0043  0.0442  0.0939  0.1249  0.10
Blumental 1952   8  0.7513  0.0110  0.099  0.536  0.399  0.45
Boshniakovich 1969   61  0.5735  0.0058  0.0461  0.0453  0.0671  0.05
Brailowsky 1960   18  0.7089  0.0049  0.0845  0.0819  0.3533  0.17
Bunin 1987   87  0.3088  0.0088  0.0378  0.0371  0.0487  0.03
Bunin 1987b   88  0.2885  0.0087  0.0381  0.0372  0.0484  0.03
Chiu 1999   31  0.6865  0.0042  0.0444  0.0923  0.2538  0.15
Cohen 1997   55  0.5879  0.0076  0.0388  0.0317  0.3550  0.10
Cortot 1951   37  0.6663  0.0036  0.0536  0.1819  0.4126  0.27
Csalog 1996   78  0.5127  0.0054  0.0464  0.0428  0.2846  0.11
Czerny 1949   64  0.5553  0.0069  0.0471  0.0453  0.0581  0.04
Czerny 1990   22  0.7057  0.0017  0.1017  0.4028  0.2420  0.31
Duchoud 2007   74  0.5277  0.0083  0.0551  0.0559  0.0569  0.05
Ezaki 2006   14  0.738  0.0315  0.1015  0.4217  0.3911  0.40
Falvay 1989   49  0.6149  0.0080  0.0386  0.0331  0.4143  0.11
Farrell 1958   7  0.755  0.063  0.155  0.574  0.583  0.57
Ferenczy 1958   66  0.5575  0.0057  0.0472  0.0449  0.0668  0.05
Fliere 1977   39  0.6533  0.0034  0.0532  0.1964  0.0453  0.09
Fou 1978   2  0.7911  0.026  0.144  0.585  0.505  0.54
Francois 1956   35  0.6671  0.0027  0.0725  0.2516  0.4518  0.34
Friedman 1923   56  0.5872  0.0079  0.0384  0.0367  0.0489  0.03
Friedman 1923b   58  0.5759  0.0078  0.0380  0.0369  0.0488  0.03
Friedman 1930   60  0.5741  0.0082  0.0468  0.0469  0.0479  0.04
Garcia 2007   11  0.7331  0.0012  0.1010  0.519  0.547  0.52
Garcia 2007b   16  0.7118  0.0113  0.1213  0.4521  0.4010  0.42
Gierzod 1998   40  0.6539  0.0039  0.0439  0.1255  0.0558  0.08
Gornostaeva 1994   53  0.6083  0.0062  0.0557  0.0544  0.0961  0.07
Groot 1988   33  0.6714  0.0121  0.0828  0.2215  0.4121  0.30
Harasiewicz 1955   42  0.6423  0.0035  0.0534  0.1856  0.0554  0.09
Hatto 1993   54  0.5966  0.0064  0.0552  0.0556  0.0672  0.05
Hatto 1997   51  0.6184  0.0065  0.0941  0.0951  0.0660  0.07
Horowitz 1949   62  0.5573  0.0067  0.0385  0.0352  0.0764  0.05
Indjic 1988   50  0.6178  0.0063  0.0466  0.0451  0.0666  0.05
Kapell 1951   38  0.6624  0.0011  0.1011  0.4920  0.2316  0.34
Kissin 1993   41  0.6519  0.0133  0.0533  0.1850  0.0457  0.08
Kushner 1989   13  0.7310  0.028  0.178  0.534  0.556  0.54
Luisada 1991   24  0.6928  0.0031  0.0727  0.2448  0.0740  0.13
Lushtak 2004   25  0.6917  0.0119  0.0816  0.4015  0.3115  0.35
Malcuzynski 1961   84  0.4762  0.0071  0.0377  0.0346  0.0674  0.04
Magaloff 1978   27  0.6934  0.0048  0.0550  0.0525  0.2842  0.12
Magin 1975   71  0.5247  0.0060  0.0465  0.0464  0.0473  0.04
Michalowski 1933   75  0.5132  0.0077  0.0387  0.0367  0.0485  0.03
Milkina 1970   3  0.783  0.074  0.182  0.695  0.621  0.65
Mohovich 1999   4  0.7816  0.017  0.147  0.546  0.584  0.56
Moravec 1969   52  0.6022  0.0052  0.0555  0.0518  0.4637  0.15
Morozova 2008   48  0.6130  0.0045  0.0447  0.0765  0.0467  0.05
Neighaus 1950   43  0.6450  0.0053  0.0467  0.0469  0.0483  0.04
Niedzielski 1931   68  0.5448  0.0051  0.0649  0.0644  0.1056  0.08
Ohlsson 1999   47  0.6240  0.0056  0.0469  0.0470  0.0477  0.04
Osinska 1989   5  0.772  0.202  0.293  0.637  0.572  0.60
Pachmann 1927   72  0.5280  0.0085  0.0458  0.0460  0.0476  0.04
Paderewski 1930   23  0.7060  0.0037  0.0731  0.1912  0.4322  0.29
Perlemuter 1992   6  0.774  0.065  0.136  0.559  0.478  0.51
Pierdomenico 2008   76  0.5181  0.0044  0.0446  0.089  0.4532  0.19
Poblocka 1999   83  0.4836  0.0059  0.0554  0.0550  0.0663  0.05
Rabcewiczowa 1932   9  0.7512  0.0116  0.1114  0.4211  0.3912  0.40
Rachmaninoff 1923   21  0.7055  0.0029  0.0638  0.1476  0.0362  0.06
Rangell 2001   70  0.5329  0.0038  0.0443  0.099  0.4331  0.20
Richter 1976   86  0.3290  0.0086  0.0474  0.0467  0.0475  0.04
Rosen 1989   30  0.6986  0.0026  0.0819  0.3530  0.2125  0.27
Rosenthal 1930   73  0.5244  0.0075  0.0379  0.0340  0.1070  0.05
Rosenthal 1931   69  0.5325  0.0074  0.0473  0.0423  0.3245  0.11
Rosenthal 1931b   65  0.5520  0.0173  0.0383  0.0322  0.3152  0.10
Rosenthal 1931c   81  0.4969  0.0081  0.0470  0.0431  0.2255  0.09
Rosenthal 1931d   63  0.5567  0.0072  0.0376  0.0321  0.3551  0.10
Rossi 2007   19  0.7052  0.0046  0.0556  0.058  0.5234  0.16
Rubinstein 1939   44  0.6451  0.0055  0.0462  0.0425  0.2944  0.11
Rubinstein 1952   59  0.5787  0.0050  0.0648  0.0617  0.4536  0.16
Rubinstein 1966   15  0.7242  0.0028  0.0630  0.2019  0.3923  0.28
Schilhawsky 1960   80  0.4921  0.0170  0.0382  0.0359  0.0578  0.04
Shebanova 2002   29  0.6974  0.0025  0.0820  0.3445  0.0835  0.16
Smith 1975   46  0.6268  0.0041  0.0440  0.1034  0.1741  0.13
Sokolov 2002   36  0.6637  0.0047  0.0553  0.0527  0.2247  0.10
Sztompka 1959   12  0.7315  0.019  0.1212  0.4738  0.1624  0.27
Tomsic 1995   79  0.5064  0.0066  0.0460  0.0417  0.4739  0.14
Uninsky 1932   57  0.5770  0.0061  0.0459  0.0459  0.0580  0.04
Uninsky 1971   85  0.4361  0.0068  0.0375  0.0351  0.0765  0.05
Wasowski 1980   28  0.6946  0.0030  0.0629  0.2123  0.2230  0.21
Zak 1937   26  0.6926  0.0020  0.0821  0.3335  0.1628  0.23
Zak 1951   34  0.6754  0.0022  0.0822  0.3240  0.1629  0.23
Average   1  0.811  0.251  0.251  0.7436  0.2213  0.40
Random 1   91  -0.2591  0.0090  0.0190  0.0150  0.0490  0.02
Random 2   89  0.0182  0.0089  0.0189  0.0138  0.1186  0.03
Random 3   90  -0.1676  0.0091  0.0191  0.0150  0.0591  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).