Brailowsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   38  0.4820  0.0160  0.0463  0.0469  0.0378  0.03
Anderszewski 2003   39  0.4814  0.0230  0.0728  0.2941  0.1822  0.23
Ashkenazy 1981   51  0.4449  0.0051  0.0459  0.0480  0.0380  0.03
Bacha 2000   18  0.5419  0.0114  0.0913  0.445  0.583  0.51
Badura 1965   73  0.3422  0.0172  0.0548  0.0549  0.0554  0.05
Barbosa 1983   67  0.3675  0.0061  0.0458  0.0447  0.0561  0.04
Biret 1990   43  0.4761  0.0058  0.0470  0.0447  0.0655  0.05
Blet 2003   68  0.3668  0.0076  0.0474  0.0481  0.0373  0.03
Block 1995   16  0.5513  0.025  0.1019  0.3917  0.3612  0.37
Blumental 1952   72  0.3410  0.0333  0.0544  0.0960  0.0450  0.06
Boshniakovich 1969   6  0.5751  0.0020  0.1124  0.3328  0.3118  0.32
Brailowsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bunin 1987   35  0.4865  0.0046  0.0454  0.0480  0.0381  0.03
Bunin 1987b   34  0.4931  0.0045  0.0456  0.0469  0.0369  0.03
Chiu 1999   55  0.4372  0.0031  0.0730  0.2460  0.0432  0.10
Cohen 1997   44  0.475  0.0513  0.0810  0.455  0.524  0.48
Cortot 1951   70  0.3554  0.0078  0.0460  0.0473  0.0383  0.03
Csalog 1996   64  0.3950  0.0065  0.0551  0.0537  0.2233  0.10
Czerny 1949   65  0.3863  0.0048  0.0468  0.0471  0.0376  0.03
Czerny 1990   60  0.4048  0.0073  0.0645  0.0675  0.0362  0.04
Duchoud 2007   66  0.3788  0.0075  0.0381  0.0379  0.0379  0.03
Ezaki 2006   4  0.596  0.0518  0.099  0.4642  0.1023  0.21
Falvay 1989   5  0.582  0.102  0.114  0.5334  0.1819  0.31
Farrell 1958   32  0.5028  0.0054  0.0646  0.0630  0.2630  0.12
Ferenczy 1958   50  0.4427  0.0170  0.0647  0.0648  0.0748  0.06
Fliere 1977   17  0.5433  0.0024  0.1020  0.3955  0.0528  0.14
Fou 1978   3  0.608  0.043  0.113  0.5428  0.376  0.45
Francois 1956   54  0.4364  0.0047  0.0455  0.0476  0.0384  0.03
Friedman 1923   88  -0.0273  0.0089  0.0289  0.0285  0.0290  0.02
Friedman 1923b   87  0.0066  0.0088  0.0288  0.0284  0.0289  0.02
Friedman 1930   85  0.1045  0.0081  0.0287  0.0281  0.0386  0.02
Garcia 2007   75  0.3334  0.0062  0.0379  0.0330  0.2339  0.08
Garcia 2007b   82  0.2355  0.0074  0.0465  0.0443  0.1051  0.06
Gierzod 1998   21  0.5317  0.0116  0.0726  0.3146  0.0727  0.15
Gornostaeva 1994   7  0.5725  0.0128  0.0729  0.2637  0.1724  0.21
Groot 1988   10  0.5653  0.0023  0.0917  0.3952  0.0431  0.12
Harasiewicz 1955   33  0.4935  0.0017  0.0714  0.4343  0.1025  0.21
Hatto 1993   80  0.2781  0.0066  0.0464  0.0471  0.0382  0.03
Hatto 1997   76  0.3387  0.0041  0.0539  0.1157  0.0447  0.07
Horowitz 1949   22  0.533  0.079  0.087  0.5019  0.349  0.41
Indjic 1988   79  0.2778  0.0067  0.0467  0.0478  0.0372  0.03
Kapell 1951   59  0.4042  0.0068  0.0461  0.0469  0.0459  0.04
Kissin 1993   30  0.5058  0.0038  0.0534  0.1752  0.0535  0.09
Kushner 1989   28  0.5183  0.0042  0.0537  0.1459  0.0443  0.07
Luisada 1991   8  0.5626  0.0127  0.0827  0.3032  0.2521  0.27
Lushtak 2004   48  0.4556  0.0040  0.0541  0.1063  0.0449  0.06
Malcuzynski 1961   15  0.5559  0.0035  0.0532  0.1874  0.0344  0.07
Magaloff 1978   2  0.621  0.241  0.241  0.5817  0.347  0.44
Magin 1975   53  0.4384  0.0043  0.0542  0.1038  0.1529  0.12
Michalowski 1933   84  0.2039  0.0079  0.0382  0.0363  0.0471  0.03
Milkina 1970   9  0.5685  0.0022  0.1021  0.3823  0.3414  0.36
Mohovich 1999   1  0.637  0.048  0.102  0.5526  0.2910  0.40
Moravec 1969   47  0.4638  0.0032  0.0636  0.1567  0.0436  0.08
Morozova 2008   19  0.5412  0.0321  0.155  0.5248  0.0626  0.18
Neighaus 1950   31  0.5046  0.0036  0.0633  0.1776  0.0441  0.08
Niedzielski 1931   69  0.3541  0.0064  0.0376  0.0355  0.0558  0.04
Ohlsson 1999   24  0.5230  0.0037  0.0735  0.1667  0.0438  0.08
Osinska 1989   41  0.4862  0.0057  0.0472  0.0466  0.0456  0.04
Pachmann 1927   37  0.4869  0.0025  0.0825  0.3223  0.3615  0.34
Paderewski 1930   71  0.3476  0.0082  0.0285  0.0285  0.0285  0.02
Perlemuter 1992   52  0.4443  0.0056  0.0377  0.0351  0.0465  0.03
Pierdomenico 2008   61  0.4089  0.0053  0.0549  0.0552  0.0552  0.05
Poblocka 1999   25  0.5232  0.0044  0.0543  0.1053  0.0542  0.07
Rabcewiczowa 1932   74  0.3490  0.0080  0.0380  0.0368  0.0368  0.03
Rachmaninoff 1923   63  0.3967  0.0059  0.0469  0.0475  0.0367  0.03
Rangell 2001   14  0.5515  0.024  0.0915  0.4320  0.3213  0.37
Richter 1976   45  0.4677  0.0052  0.0552  0.0542  0.1337  0.08
Rosen 1989   11  0.5637  0.0019  0.0818  0.3929  0.3016  0.34
Rosenthal 1930   56  0.4257  0.0049  0.0462  0.0438  0.1840  0.08
Rosenthal 1931   36  0.4860  0.0015  0.0816  0.418  0.545  0.47
Rosenthal 1931b   27  0.5124  0.017  0.128  0.506  0.601  0.55
Rosenthal 1931c   58  0.4136  0.0055  0.0457  0.0452  0.0563  0.04
Rosenthal 1931d   12  0.5616  0.026  0.106  0.516  0.552  0.53
Rossi 2007   83  0.2282  0.0083  0.0283  0.0241  0.0957  0.04
Rubinstein 1939   46  0.464  0.0610  0.0823  0.345  0.528  0.42
Rubinstein 1952   13  0.5618  0.0126  0.1122  0.3721  0.3911  0.38
Rubinstein 1966   40  0.4811  0.0334  0.0540  0.1168  0.0446  0.07
Schilhawsky 1960   62  0.4047  0.0063  0.0378  0.0375  0.0374  0.03
Shebanova 2002   42  0.4779  0.0050  0.0466  0.0453  0.0653  0.05
Smith 1975   20  0.5340  0.0029  0.0631  0.2173  0.0434  0.09
Sokolov 2002   49  0.4452  0.0069  0.0550  0.0585  0.0266  0.03
Sztompka 1959   81  0.2480  0.0085  0.0471  0.0482  0.0370  0.03
Tomsic 1995   23  0.5223  0.0139  0.0538  0.1261  0.0445  0.07
Uninsky 1932   78  0.2744  0.0084  0.0475  0.0483  0.0275  0.03
Uninsky 1971   57  0.4221  0.0171  0.0553  0.0579  0.0360  0.04
Wasowski 1980   77  0.3371  0.0077  0.0473  0.0482  0.0364  0.03
Zak 1937   26  0.5129  0.0012  0.0912  0.4432  0.2417  0.32
Zak 1951   29  0.519  0.0311  0.0811  0.4438  0.2120  0.30
Random 1   90  -0.0886  0.0090  0.0190  0.0171  0.0387  0.02
Random 2   89  -0.0474  0.0086  0.0286  0.0246  0.0677  0.03
Random 3   86  0.0070  0.0087  0.0284  0.0259  0.0388  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).