Biret 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   45  0.2476  0.0052  0.0652  0.0687  0.0277  0.03
Anderszewski 2003   87  0.0177  0.0081  0.0383  0.0385  0.0283  0.02
Ashkenazy 1981   59  0.1646  0.0072  0.0468  0.0482  0.0467  0.04
Bacha 2000   65  0.1584  0.0068  0.0476  0.0486  0.0269  0.03
Badura 1965   83  0.0385  0.0063  0.0462  0.0486  0.0378  0.03
Barbosa 1983   40  0.2562  0.0039  0.0840  0.2759  0.0540  0.12
Biret 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Blet 2003   25  0.307  0.0229  0.1028  0.4744  0.1625  0.27
Block 1995   73  0.0963  0.0075  0.0379  0.0388  0.0284  0.02
Blumental 1952   80  0.0664  0.0088  0.0284  0.0288  0.0285  0.02
Boshniakovich 1969   58  0.1751  0.0056  0.0654  0.0680  0.0366  0.04
Brailowsky 1960   70  0.1260  0.0069  0.0475  0.0481  0.0371  0.03
Bunin 1987   35  0.2886  0.0031  0.1330  0.4541  0.1526  0.26
Bunin 1987b   32  0.2857  0.0030  0.1129  0.4640  0.1624  0.27
Chiu 1999   19  0.3626  0.0027  0.1623  0.5369  0.0532  0.16
Cohen 1997   17  0.375  0.0310  0.1514  0.6316  0.568  0.59
Cortot 1951   52  0.2024  0.0047  0.0653  0.0648  0.0653  0.06
Csalog 1996   13  0.412  0.125  0.2418  0.5916  0.5211  0.55
Czerny 1949   3  0.476  0.026  0.175  0.7313  0.744  0.73
Czerny 1990   55  0.1858  0.0061  0.0378  0.0383  0.0379  0.03
Duchoud 2007   5  0.4422  0.008  0.177  0.7123  0.4610  0.57
Ezaki 2006   47  0.2312  0.0117  0.1036  0.3440  0.2223  0.27
Falvay 1989   20  0.3459  0.0025  0.1222  0.5535  0.2119  0.34
Farrell 1958   7  0.4314  0.014  0.214  0.774  0.675  0.72
Ferenczy 1958   72  0.1178  0.0065  0.0560  0.0548  0.0752  0.06
Fliere 1977   64  0.1570  0.0074  0.0473  0.0485  0.0370  0.03
Fou 1978   71  0.1179  0.0079  0.0474  0.0468  0.0460  0.04
Francois 1956   8  0.439  0.013  0.293  0.7912  0.703  0.74
Friedman 1923   60  0.1652  0.0053  0.0947  0.0970  0.0454  0.06
Friedman 1923b   56  0.1733  0.0042  0.0743  0.1662  0.0645  0.10
Friedman 1930   44  0.2445  0.0050  0.0849  0.0867  0.0551  0.06
Garcia 2007   68  0.1343  0.0059  0.0559  0.0582  0.0363  0.04
Garcia 2007b   28  0.3050  0.0045  0.0645  0.1258  0.0648  0.08
Gierzod 1998   91  -0.1887  0.0091  0.0191  0.0191  0.0191  0.01
Gornostaeva 1994   9  0.4315  0.0114  0.1910  0.6721  0.597  0.63
Groot 1988   46  0.2488  0.0049  0.0848  0.0880  0.0359  0.05
Harasiewicz 1955   22  0.3280  0.0026  0.1216  0.5965  0.0531  0.17
Hatto 1993   53  0.2027  0.0058  0.0555  0.0583  0.0368  0.04
Hatto 1997   4  0.454  0.0312  0.126  0.7218  0.459  0.57
Horowitz 1949   41  0.2534  0.0036  0.1037  0.3461  0.0537  0.13
Indjic 1988   42  0.2532  0.0051  0.0946  0.0970  0.0549  0.07
Kapell 1951   24  0.3147  0.0032  0.1127  0.5074  0.0533  0.16
Kissin 1993   86  0.0171  0.0083  0.0381  0.0383  0.0375  0.03
Kushner 1989   63  0.1620  0.0067  0.0467  0.0483  0.0373  0.03
Luisada 1991   14  0.3829  0.0019  0.1012  0.6551  0.0728  0.21
Lushtak 2004   62  0.1672  0.0055  0.0556  0.0575  0.0465  0.04
Malcuzynski 1961   85  0.0289  0.0084  0.0286  0.0290  0.0282  0.02
Magaloff 1978   50  0.2165  0.0048  0.0750  0.0765  0.0455  0.05
Magin 1975   69  0.1249  0.0071  0.0469  0.0460  0.0656  0.05
Michalowski 1933   33  0.2861  0.0035  0.1532  0.4559  0.0634  0.16
Milkina 1970   15  0.3725  0.007  0.198  0.7111  0.646  0.67
Mohovich 1999   79  0.0690  0.0082  0.0382  0.0385  0.0286  0.02
Moravec 1969   54  0.1966  0.0046  0.0751  0.0752  0.0550  0.06
Morozova 2008   51  0.2181  0.0054  0.0557  0.0581  0.0362  0.04
Neighaus 1950   10  0.4218  0.009  0.1511  0.6535  0.2818  0.43
Niedzielski 1931   78  0.0644  0.0062  0.0471  0.0484  0.0372  0.03
Ohlsson 1999   23  0.3219  0.0024  0.1425  0.5148  0.0630  0.17
Osinska 1989   1  0.551  0.581  0.571  0.885  0.801  0.84
Pachmann 1927   61  0.1682  0.0064  0.0461  0.0459  0.0657  0.05
Paderewski 1930   76  0.0828  0.0077  0.0464  0.0485  0.0374  0.03
Perlemuter 1992   75  0.0873  0.0087  0.0287  0.0290  0.0281  0.02
Pierdomenico 2008   38  0.2631  0.0041  0.0741  0.2050  0.0641  0.11
Poblocka 1999   34  0.2853  0.0043  0.0742  0.1958  0.0543  0.10
Rabcewiczowa 1932   11  0.428  0.0218  0.1420  0.5726  0.5212  0.54
Rachmaninoff 1923   30  0.3021  0.0034  0.1333  0.4443  0.1427  0.25
Rangell 2001   49  0.2240  0.0037  0.1134  0.4049  0.0636  0.15
Richter 1976   66  0.1454  0.0078  0.0472  0.0481  0.0461  0.04
Rosen 1989   37  0.2741  0.0038  0.1338  0.3365  0.0442  0.11
Rosenthal 1930   57  0.1723  0.0057  0.0558  0.0582  0.0364  0.04
Rosenthal 1931   90  -0.0767  0.0090  0.0290  0.0289  0.0190  0.01
Rosenthal 1931b   89  -0.0256  0.0086  0.0288  0.0288  0.0287  0.02
Rosenthal 1931c   81  0.0474  0.0073  0.0377  0.0386  0.0288  0.02
Rosenthal 1931d   77  0.0791  0.0070  0.0466  0.0470  0.0380  0.03
Rossi 2007   43  0.2438  0.0060  0.0465  0.0435  0.1646  0.08
Rubinstein 1939   18  0.3639  0.0020  0.1113  0.6419  0.3217  0.45
Rubinstein 1952   31  0.2811  0.0123  0.1224  0.5338  0.1721  0.30
Rubinstein 1966   48  0.2283  0.0044  0.0644  0.1251  0.0547  0.08
Schilhawsky 1960   36  0.2735  0.0040  0.0939  0.3138  0.2522  0.28
Shebanova 2002   67  0.1316  0.0080  0.0470  0.0480  0.0376  0.03
Smith 1975   12  0.4110  0.0111  0.1421  0.5620  0.4914  0.52
Sokolov 2002   21  0.3436  0.0022  0.1026  0.5023  0.4116  0.45
Sztompka 1959   74  0.0975  0.0085  0.0285  0.0290  0.0189  0.01
Tomsic 1995   39  0.2568  0.0028  0.1435  0.4047  0.0635  0.15
Uninsky 1932   26  0.3013  0.0133  0.1031  0.4570  0.0438  0.13
Uninsky 1971   16  0.3730  0.0021  0.1319  0.5841  0.1620  0.30
Wasowski 1980   2  0.483  0.072  0.312  0.8110  0.682  0.74
Zak 1937   27  0.3037  0.0016  0.1217  0.5926  0.4015  0.49
Zak 1951   29  0.3017  0.0015  0.1415  0.6019  0.4913  0.54
Average   6  0.4455  0.0013  0.159  0.7161  0.0529  0.19
Random 1   84  0.0342  0.0076  0.0380  0.0320  0.3344  0.10
Random 2   82  0.0448  0.0066  0.0463  0.0414  0.4439  0.13
Random 3   88  -0.0269  0.0089  0.0289  0.0236  0.1558  0.05

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).