Brailowsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   39  0.4820  0.0161  0.0464  0.0470  0.0379  0.03
Anderszewski 2003   40  0.4815  0.0231  0.0629  0.2942  0.1822  0.23
Ashkenazy 1981   52  0.4445  0.0052  0.0460  0.0481  0.0381  0.03
Bacha 2000   19  0.5419  0.0115  0.0914  0.446  0.583  0.51
Badura 1965   74  0.3421  0.0173  0.0549  0.0550  0.0555  0.05
Barbosa 1983   68  0.3675  0.0062  0.0459  0.0448  0.0562  0.04
Biret 1990   44  0.4760  0.0059  0.0471  0.0448  0.0656  0.05
Blet 2003   69  0.3667  0.0077  0.0475  0.0482  0.0374  0.03
Block 1995   17  0.5513  0.026  0.1020  0.3918  0.3612  0.37
Blumental 1952   73  0.3411  0.0334  0.0545  0.0961  0.0451  0.06
Boshniakovich 1969   7  0.5750  0.0021  0.1125  0.3329  0.3118  0.32
Brailowsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bunin 1987   36  0.4863  0.0047  0.0455  0.0481  0.0382  0.03
Bunin 1987b   35  0.4971  0.0046  0.0457  0.0470  0.0370  0.03
Chiu 1999   56  0.4372  0.0032  0.0631  0.2461  0.0433  0.10
Cohen 1997   45  0.475  0.0514  0.0811  0.455  0.524  0.48
Cortot 1951   71  0.3551  0.0079  0.0461  0.0474  0.0384  0.03
Csalog 1996   65  0.3946  0.0066  0.0552  0.0538  0.2234  0.10
Czerny 1949   66  0.3861  0.0049  0.0469  0.0472  0.0377  0.03
Czerny 1990   61  0.4047  0.0074  0.0646  0.0676  0.0363  0.04
Duchoud 2007   67  0.3789  0.0076  0.0382  0.0380  0.0380  0.03
Ezaki 2006   5  0.594  0.0519  0.0910  0.4643  0.1023  0.21
Falvay 1989   6  0.587  0.043  0.115  0.5335  0.1819  0.31
Farrell 1958   33  0.5029  0.0055  0.0647  0.0631  0.2631  0.12
Ferenczy 1958   51  0.4428  0.0071  0.0648  0.0649  0.0749  0.06
Fliere 1977   18  0.5432  0.0025  0.1021  0.3956  0.0529  0.14
Fou 1978   4  0.609  0.034  0.114  0.5429  0.376  0.45
Francois 1956   55  0.4364  0.0048  0.0456  0.0477  0.0385  0.03
Friedman 1923   89  -0.0273  0.0090  0.0290  0.0286  0.0291  0.02
Friedman 1923b   88  0.0065  0.0089  0.0289  0.0285  0.0290  0.02
Friedman 1930   86  0.1043  0.0082  0.0288  0.0282  0.0387  0.02
Garcia 2007   76  0.3333  0.0063  0.0380  0.0331  0.2340  0.08
Garcia 2007b   83  0.2352  0.0075  0.0466  0.0444  0.1052  0.06
Gierzod 1998   22  0.5327  0.0117  0.0727  0.3147  0.0728  0.15
Gornostaeva 1994   8  0.5725  0.0129  0.0730  0.2638  0.1724  0.21
Groot 1988   11  0.5657  0.0024  0.0918  0.3953  0.0432  0.12
Harasiewicz 1955   34  0.4948  0.0018  0.0715  0.4344  0.1025  0.21
Hatto 1993   81  0.2781  0.0067  0.0465  0.0472  0.0383  0.03
Hatto 1997   77  0.3388  0.0042  0.0540  0.1158  0.0447  0.07
Horowitz 1949   23  0.533  0.0710  0.088  0.5020  0.349  0.41
Indjic 1988   80  0.2777  0.0068  0.0468  0.0479  0.0373  0.03
Kapell 1951   60  0.4041  0.0069  0.0462  0.0470  0.0460  0.04
Kissin 1993   31  0.5054  0.0039  0.0535  0.1753  0.0536  0.09
Kushner 1989   29  0.5183  0.0043  0.0538  0.1460  0.0443  0.07
Luisada 1991   9  0.5626  0.0128  0.0828  0.3033  0.2521  0.27
Lushtak 2004   49  0.4562  0.0041  0.0542  0.1064  0.0450  0.06
Malcuzynski 1961   16  0.5555  0.0036  0.0533  0.1875  0.0344  0.07
Magaloff 1978   3  0.621  0.211  0.212  0.5818  0.347  0.44
Magin 1975   54  0.4384  0.0044  0.0543  0.1039  0.1530  0.12
Michalowski 1933   85  0.2038  0.0080  0.0383  0.0364  0.0472  0.03
Milkina 1970   10  0.5685  0.0023  0.1022  0.3824  0.3414  0.36
Mohovich 1999   2  0.638  0.049  0.093  0.5527  0.2910  0.40
Moravec 1969   48  0.4636  0.0033  0.0637  0.1568  0.0437  0.08
Morozova 2008   20  0.5412  0.0222  0.146  0.5249  0.0627  0.18
Neighaus 1950   32  0.5058  0.0037  0.0634  0.1777  0.0348  0.07
Niedzielski 1931   70  0.3539  0.0065  0.0377  0.0356  0.0559  0.04
Ohlsson 1999   25  0.5230  0.0038  0.0736  0.1668  0.0439  0.08
Osinska 1989   42  0.4859  0.0058  0.0473  0.0467  0.0457  0.04
Pachmann 1927   38  0.4868  0.0026  0.0726  0.3224  0.3615  0.34
Paderewski 1930   72  0.3478  0.0083  0.0286  0.0286  0.0286  0.02
Perlemuter 1992   53  0.4440  0.0057  0.0378  0.0352  0.0466  0.03
Pierdomenico 2008   62  0.4090  0.0054  0.0550  0.0553  0.0553  0.05
Poblocka 1999   26  0.5231  0.0045  0.0544  0.1054  0.0542  0.07
Rabcewiczowa 1932   75  0.3491  0.0081  0.0381  0.0369  0.0369  0.03
Rachmaninoff 1923   64  0.3966  0.0060  0.0470  0.0476  0.0368  0.03
Rangell 2001   15  0.5514  0.025  0.0916  0.4321  0.3213  0.37
Richter 1976   46  0.4676  0.0053  0.0553  0.0543  0.1338  0.08
Rosen 1989   12  0.5637  0.0020  0.0819  0.3930  0.3016  0.34
Rosenthal 1930   57  0.4253  0.0050  0.0463  0.0439  0.1841  0.08
Rosenthal 1931   37  0.4856  0.0016  0.0817  0.419  0.545  0.47
Rosenthal 1931b   28  0.5124  0.018  0.129  0.507  0.601  0.55
Rosenthal 1931c   59  0.4134  0.0056  0.0458  0.0453  0.0564  0.04
Rosenthal 1931d   13  0.5616  0.027  0.097  0.517  0.552  0.53
Rossi 2007   84  0.2282  0.0084  0.0284  0.0242  0.0958  0.04
Rubinstein 1939   47  0.466  0.0411  0.0824  0.345  0.528  0.42
Rubinstein 1952   14  0.5618  0.0127  0.1123  0.3722  0.3911  0.38
Rubinstein 1966   41  0.4810  0.0335  0.0541  0.1169  0.0446  0.07
Schilhawsky 1960   63  0.4044  0.0064  0.0379  0.0376  0.0375  0.03
Shebanova 2002   43  0.4779  0.0051  0.0467  0.0454  0.0654  0.05
Smith 1975   21  0.5386  0.0030  0.0632  0.2174  0.0435  0.09
Sokolov 2002   50  0.4449  0.0070  0.0551  0.0586  0.0267  0.03
Sztompka 1959   82  0.2480  0.0086  0.0472  0.0483  0.0371  0.03
Tomsic 1995   24  0.5223  0.0140  0.0539  0.1262  0.0445  0.07
Uninsky 1932   79  0.2742  0.0085  0.0476  0.0484  0.0276  0.03
Uninsky 1971   58  0.4222  0.0172  0.0554  0.0580  0.0361  0.04
Wasowski 1980   78  0.3370  0.0078  0.0474  0.0483  0.0365  0.03
Zak 1937   27  0.5135  0.0013  0.0913  0.4433  0.2417  0.32
Zak 1951   30  0.5117  0.0112  0.0812  0.4439  0.2120  0.30
Average   1  0.672  0.172  0.201  0.6546  0.0626  0.20
Random 1   91  -0.0887  0.0091  0.0191  0.0173  0.0388  0.02
Random 2   90  -0.0474  0.0087  0.0287  0.0247  0.0678  0.03
Random 3   87  0.0069  0.0088  0.0285  0.0258  0.0389  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).