Brailowsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   46  0.5743  0.0062  0.0475  0.0451  0.0463  0.04
Anderszewski 2003   21  0.6437  0.0044  0.1040  0.2147  0.0540  0.10
Ashkenazy 1981   40  0.5838  0.0043  0.0642  0.1762  0.0447  0.08
Bacha 2000   8  0.7023  0.0115  0.1013  0.4512  0.458  0.45
Badura 1965   83  0.4044  0.0086  0.0551  0.0579  0.0368  0.04
Barbosa 1983   58  0.5212  0.0210  0.0739  0.2132  0.2125  0.21
Biret 1990   12  0.6739  0.0028  0.0526  0.3356  0.0534  0.13
Blet 2003   55  0.5353  0.0077  0.0468  0.0483  0.0379  0.03
Block 1995   26  0.624  0.076  0.1015  0.4112  0.3912  0.40
Blumental 1952   70  0.4860  0.0067  0.0380  0.0383  0.0289  0.02
Boshniakovich 1969   25  0.6241  0.0039  0.0634  0.2476  0.0346  0.08
Brailowsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bunin 1987   79  0.4373  0.0079  0.0557  0.0580  0.0369  0.04
Bunin 1987b   80  0.4275  0.0078  0.0555  0.0576  0.0358  0.04
Chiu 1999   14  0.6625  0.0111  0.077  0.548  0.514  0.52
Cohen 1997   65  0.5057  0.0047  0.0558  0.058  0.4429  0.15
Cortot 1951   67  0.4864  0.0080  0.0472  0.0466  0.0470  0.04
Csalog 1996   82  0.4147  0.0059  0.0550  0.0540  0.1543  0.09
Czerny 1949   73  0.4731  0.0074  0.0386  0.0388  0.0287  0.02
Czerny 1990   28  0.6169  0.0053  0.0464  0.0479  0.0384  0.03
Duchoud 2007   77  0.4536  0.0076  0.0477  0.0465  0.0465  0.04
Ezaki 2006   10  0.6830  0.0033  0.0925  0.3480  0.0338  0.10
Falvay 1989   6  0.719  0.034  0.135  0.5710  0.551  0.56
Farrell 1958   18  0.6686  0.0030  0.0722  0.3533  0.2019  0.26
Ferenczy 1958   53  0.5427  0.0169  0.0478  0.0471  0.0462  0.04
Fliere 1977   7  0.7017  0.0113  0.098  0.5255  0.0431  0.14
Fou 1978   15  0.6619  0.0120  0.0714  0.4340  0.1223  0.23
Francois 1956   49  0.5679  0.0058  0.0562  0.0571  0.0371  0.04
Friedman 1923   87  0.2390  0.0088  0.0383  0.0384  0.0290  0.02
Friedman 1923b   88  0.2391  0.0087  0.0382  0.0384  0.0383  0.03
Friedman 1930   85  0.3688  0.0085  0.0479  0.0482  0.0380  0.03
Garcia 2007   59  0.5276  0.0055  0.0548  0.0572  0.0366  0.04
Garcia 2007b   68  0.4835  0.0046  0.0559  0.0535  0.1348  0.08
Gierzod 1998   45  0.5758  0.0056  0.0556  0.0582  0.0364  0.04
Gornostaeva 1994   13  0.6742  0.0035  0.0830  0.2940  0.1426  0.20
Groot 1988   9  0.702  0.133  0.163  0.6118  0.483  0.54
Harasiewicz 1955   32  0.6050  0.0026  0.0821  0.3646  0.0630  0.15
Hatto 1993   78  0.4481  0.0066  0.0467  0.0449  0.0655  0.05
Hatto 1997   71  0.4785  0.0071  0.0549  0.0568  0.0461  0.04
Horowitz 1949   35  0.5916  0.0127  0.0638  0.2225  0.3817  0.29
Indjic 1988   75  0.4684  0.0070  0.0474  0.0462  0.0560  0.04
Kapell 1951   60  0.5224  0.0136  0.0645  0.1055  0.0549  0.07
Kissin 1993   31  0.6029  0.0037  0.0629  0.3052  0.0633  0.13
Kushner 1989   17  0.6640  0.0034  0.0828  0.3054  0.0535  0.12
Luisada 1991   5  0.725  0.055  0.144  0.5923  0.415  0.49
Lushtak 2004   33  0.6063  0.0029  0.0637  0.2251  0.0542  0.10
Malcuzynski 1961   47  0.5751  0.0054  0.0470  0.0462  0.0459  0.04
Magaloff 1978   2  0.741  0.201  0.192  0.618  0.482  0.54
Magin 1975   44  0.5720  0.0124  0.0724  0.3432  0.1820  0.25
Michalowski 1933   86  0.3565  0.0081  0.0387  0.0373  0.0477  0.03
Milkina 1970   4  0.7232  0.007  0.099  0.5221  0.3710  0.44
Mohovich 1999   3  0.7311  0.029  0.076  0.5535  0.2414  0.36
Moravec 1969   56  0.5372  0.0051  0.0465  0.0443  0.1844  0.08
Morozova 2008   38  0.5813  0.0238  0.0536  0.2350  0.0441  0.10
Neighaus 1950   22  0.6433  0.0042  0.0735  0.2454  0.0537  0.11
Niedzielski 1931   57  0.5215  0.0149  0.0463  0.0467  0.0374  0.03
Ohlsson 1999   27  0.6134  0.0045  0.0644  0.1172  0.0450  0.07
Osinska 1989   16  0.6667  0.0040  0.0732  0.2565  0.0439  0.10
Pachmann 1927   36  0.5952  0.0060  0.0553  0.0537  0.1345  0.08
Paderewski 1930   54  0.5380  0.0068  0.0385  0.0384  0.0286  0.02
Perlemuter 1992   29  0.6155  0.0052  0.0561  0.0561  0.0456  0.04
Pierdomenico 2008   51  0.5445  0.0025  0.1020  0.3623  0.3913  0.37
Poblocka 1999   63  0.5026  0.0165  0.0466  0.0482  0.0372  0.03
Rabcewiczowa 1932   61  0.5178  0.0075  0.0476  0.0483  0.0375  0.03
Rachmaninoff 1923   34  0.5962  0.0048  0.0554  0.0574  0.0357  0.04
Rangell 2001   52  0.5487  0.0023  0.0631  0.2831  0.2618  0.27
Richter 1976   66  0.4846  0.0064  0.0471  0.0449  0.0653  0.05
Rosen 1989   19  0.6614  0.0214  0.0819  0.3929  0.2616  0.32
Rosenthal 1930   72  0.4749  0.0072  0.0552  0.0569  0.0367  0.04
Rosenthal 1931   41  0.5868  0.0021  0.0723  0.3412  0.5211  0.42
Rosenthal 1931b   37  0.5848  0.0017  0.0718  0.3911  0.529  0.45
Rosenthal 1931c   69  0.4866  0.0063  0.0469  0.0472  0.0385  0.03
Rosenthal 1931d   24  0.6356  0.0016  0.1011  0.4610  0.507  0.48
Rossi 2007   64  0.5082  0.0041  0.0543  0.1339  0.1532  0.14
Rubinstein 1939   50  0.556  0.0422  0.0633  0.257  0.4315  0.33
Rubinstein 1952   39  0.587  0.048  0.0910  0.4614  0.536  0.49
Rubinstein 1966   23  0.6359  0.0032  0.0841  0.2033  0.2724  0.23
Schilhawsky 1960   76  0.4621  0.0173  0.0746  0.0783  0.0354  0.05
Shebanova 2002   20  0.6522  0.0131  0.0827  0.3369  0.0436  0.11
Smith 1975   11  0.6718  0.0112  0.0812  0.4538  0.1222  0.23
Sokolov 2002   62  0.5077  0.0061  0.0473  0.0482  0.0373  0.03
Sztompka 1959   74  0.4774  0.0082  0.0381  0.0384  0.0376  0.03
Tomsic 1995   48  0.5783  0.0057  0.0560  0.0548  0.0552  0.05
Uninsky 1932   81  0.4154  0.0084  0.0388  0.0383  0.0381  0.03
Uninsky 1971   84  0.4070  0.0083  0.0384  0.0373  0.0478  0.03
Wasowski 1980   42  0.5728  0.0150  0.0647  0.0646  0.0651  0.06
Zak 1937   30  0.608  0.0419  0.1217  0.3942  0.1521  0.24
Zak 1951   43  0.5710  0.0318  0.0716  0.4044  0.0927  0.19
Average   1  0.763  0.102  0.151  0.6467  0.0428  0.16
Random 1   91  -0.2089  0.0091  0.0191  0.0190  0.0191  0.01
Random 2   90  -0.1661  0.0090  0.0289  0.0277  0.0388  0.02
Random 3   89  -0.0271  0.0089  0.0290  0.0259  0.0582  0.03

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).