Biret 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   14  0.6458  0.0024  0.1023  0.3827  0.4223  0.40
Anderszewski 2003   16  0.6261  0.0026  0.1022  0.3918  0.4917  0.44
Ashkenazy 1981   29  0.5919  0.0043  0.0642  0.1230  0.2643  0.18
Bacha 2000   45  0.5635  0.0064  0.0458  0.0424  0.3265  0.11
Badura 1965   76  0.475  0.0279  0.0387  0.0346  0.0979  0.05
Barbosa 1983   51  0.5429  0.0018  0.0829  0.2818  0.5224  0.38
Biret 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Blet 2003   53  0.5378  0.0045  0.0545  0.098  0.4839  0.21
Block 1995   59  0.5114  0.0147  0.0551  0.0520  0.3754  0.14
Blumental 1952   7  0.6755  0.0010  0.206  0.603  0.637  0.61
Boshniakovich 1969   43  0.5737  0.0029  0.0828  0.2833  0.3233  0.30
Brailowsky 1960   37  0.5870  0.0059  0.0549  0.0515  0.5444  0.16
Bunin 1987   87  0.3479  0.0087  0.0476  0.0447  0.0586  0.04
Bunin 1987b   88  0.3283  0.0088  0.0470  0.0454  0.0583  0.04
Chiu 1999   34  0.5827  0.0060  0.0646  0.0623  0.2857  0.13
Cohen 1997   72  0.4884  0.0080  0.0385  0.0319  0.3468  0.10
Cortot 1951   60  0.5133  0.0069  0.0460  0.0419  0.4856  0.14
Csalog 1996   64  0.5038  0.0051  0.0473  0.0422  0.3762  0.12
Czerny 1949   55  0.5275  0.0062  0.0553  0.0555  0.0678  0.05
Czerny 1990   15  0.6362  0.0013  0.1113  0.4624  0.4318  0.44
Duchoud 2007   84  0.4190  0.0084  0.0472  0.0455  0.0585  0.04
Ezaki 2006   11  0.6511  0.0116  0.1019  0.4119  0.5015  0.45
Falvay 1989   30  0.5917  0.0158  0.0464  0.0422  0.4652  0.14
Farrell 1958   18  0.6249  0.0014  0.1415  0.469  0.5711  0.51
Ferenczy 1958   81  0.4674  0.0075  0.0382  0.0347  0.0777  0.05
Fliere 1977   13  0.6528  0.008  0.1610  0.5222  0.3620  0.43
Fou 1978   4  0.687  0.019  0.138  0.574  0.619  0.59
Francois 1956   50  0.5431  0.0038  0.0640  0.189  0.5929  0.33
Friedman 1923   74  0.4859  0.0083  0.0648  0.0665  0.0580  0.05
Friedman 1923b   78  0.4780  0.0082  0.0463  0.0463  0.0587  0.04
Friedman 1930   61  0.5030  0.0071  0.0461  0.0444  0.1872  0.08
Garcia 2007   49  0.5416  0.0146  0.0554  0.0513  0.5148  0.16
Garcia 2007b   46  0.5641  0.0037  0.0534  0.2321  0.4730  0.33
Gierzod 1998   19  0.6244  0.0022  0.1216  0.4438  0.2231  0.31
Gornostaeva 1994   54  0.5385  0.0056  0.0381  0.0329  0.3169  0.10
Groot 1988   24  0.6051  0.0017  0.0821  0.405  0.4919  0.44
Harasiewicz 1955   23  0.6165  0.0023  0.1211  0.5028  0.4513  0.47
Hatto 1993   39  0.5771  0.0034  0.0732  0.2438  0.2037  0.22
Hatto 1997   35  0.5886  0.0035  0.0636  0.2241  0.1442  0.18
Horowitz 1949   73  0.4869  0.0076  0.0383  0.0341  0.2470  0.08
Indjic 1988   31  0.5852  0.0033  0.0631  0.2439  0.1938  0.21
Kapell 1951   36  0.5872  0.0027  0.0827  0.2936  0.2234  0.25
Kissin 1993   41  0.5781  0.0049  0.0462  0.0451  0.0675  0.05
Kushner 1989   5  0.6812  0.014  0.214  0.645  0.654  0.64
Luisada 1991   32  0.588  0.0140  0.0539  0.1934  0.2240  0.20
Lushtak 2004   26  0.6032  0.0020  0.1018  0.4312  0.5312  0.48
Malcuzynski 1961   65  0.5053  0.0031  0.0543  0.1125  0.2841  0.18
Magaloff 1978   22  0.6126  0.0036  0.0535  0.2215  0.4232  0.30
Magin 1975   58  0.5143  0.0053  0.0477  0.0469  0.0482  0.04
Michalowski 1933   83  0.4336  0.0081  0.0384  0.0337  0.2271  0.08
Milkina 1970   2  0.704  0.023  0.332  0.714  0.691  0.70
Mohovich 1999   9  0.6618  0.0011  0.199  0.565  0.668  0.61
Moravec 1969   48  0.5566  0.0057  0.0379  0.0318  0.4960  0.12
Morozova 2008   52  0.5322  0.0044  0.0444  0.1138  0.2347  0.16
Neighaus 1950   56  0.5242  0.0067  0.0475  0.0457  0.0588  0.04
Niedzielski 1931   75  0.4856  0.0063  0.0647  0.0638  0.1867  0.10
Ohlsson 1999   42  0.576  0.0128  0.0737  0.2042  0.1346  0.16
Osinska 1989   3  0.682  0.042  0.333  0.6513  0.606  0.62
Pachmann 1927   85  0.4063  0.0086  0.0386  0.0361  0.0489  0.03
Paderewski 1930   69  0.4845  0.0068  0.0468  0.0414  0.4953  0.14
Perlemuter 1992   25  0.6073  0.0030  0.0826  0.336  0.5816  0.44
Pierdomenico 2008   82  0.4587  0.0065  0.0555  0.059  0.5145  0.16
Poblocka 1999   62  0.5082  0.0050  0.0466  0.0459  0.0581  0.04
Rabcewiczowa 1932   12  0.6520  0.007  0.1412  0.495  0.5610  0.52
Rachmaninoff 1923   20  0.6239  0.0015  0.0824  0.3518  0.3725  0.36
Rangell 2001   63  0.5046  0.0066  0.0467  0.0415  0.4655  0.14
Richter 1976   86  0.3964  0.0085  0.0550  0.0571  0.0484  0.04
Rosen 1989   38  0.5760  0.0042  0.0738  0.1935  0.2636  0.22
Rosenthal 1930   68  0.5054  0.0072  0.0557  0.0518  0.5149  0.16
Rosenthal 1931   79  0.4615  0.0177  0.0388  0.0321  0.4266  0.11
Rosenthal 1931b   66  0.5010  0.0173  0.0556  0.0514  0.5450  0.16
Rosenthal 1931c   80  0.4676  0.0078  0.0471  0.0429  0.3764  0.12
Rosenthal 1931d   70  0.4888  0.0074  0.0380  0.0311  0.6059  0.13
Rossi 2007   47  0.5521  0.0052  0.0478  0.049  0.5251  0.14
Rubinstein 1939   33  0.5889  0.0048  0.0465  0.0422  0.3761  0.12
Rubinstein 1952   44  0.5667  0.0039  0.0533  0.2317  0.4828  0.33
Rubinstein 1966   10  0.6550  0.0019  0.0820  0.4116  0.5114  0.46
Schilhawsky 1960   67  0.5025  0.0061  0.0552  0.0553  0.0576  0.05
Shebanova 2002   17  0.6240  0.0021  0.1017  0.4335  0.2627  0.33
Smith 1975   40  0.5723  0.0032  0.0530  0.2512  0.4326  0.33
Sokolov 2002   27  0.6034  0.0041  0.0641  0.1416  0.4235  0.24
Sztompka 1959   21  0.619  0.0112  0.1214  0.4634  0.3721  0.41
Tomsic 1995   77  0.4777  0.0070  0.0459  0.0426  0.4358  0.13
Uninsky 1932   57  0.5247  0.0055  0.0469  0.0435  0.3463  0.12
Uninsky 1971   71  0.4824  0.0054  0.0474  0.0447  0.0873  0.06
Wasowski 1980   28  0.6048  0.0025  0.1325  0.3519  0.4522  0.40
Zak 1937   6  0.6713  0.016  0.177  0.605  0.675  0.63
Zak 1951   8  0.673  0.035  0.225  0.634  0.673  0.65
Average   1  0.781  0.711  0.701  0.8419  0.522  0.66
Random 1   91  -0.1291  0.0091  0.0191  0.0166  0.0390  0.02
Random 2   89  0.0257  0.0089  0.0289  0.0233  0.2074  0.06
Random 3   90  -0.0768  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).