Brailowsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   56  0.5228  0.0177  0.0467  0.0465  0.0463  0.04
Anderszewski 2003   53  0.5327  0.0150  0.0552  0.0550  0.0461  0.04
Ashkenazy 1981   45  0.5645  0.0046  0.0466  0.0471  0.0381  0.03
Bacha 2000   18  0.6622  0.0121  0.0719  0.3612  0.4710  0.41
Badura 1965   81  0.3337  0.0080  0.0480  0.0484  0.0277  0.03
Barbosa 1983   71  0.4336  0.0057  0.0478  0.0461  0.0460  0.04
Biret 1990   24  0.6470  0.0045  0.0544  0.1053  0.0449  0.06
Blet 2003   60  0.4966  0.0078  0.0382  0.0385  0.0287  0.02
Block 1995   15  0.6726  0.0118  0.0717  0.397  0.3814  0.38
Blumental 1952   82  0.3312  0.0256  0.0473  0.0471  0.0379  0.03
Boshniakovich 1969   12  0.718  0.0319  0.0922  0.3420  0.3021  0.32
Brailowsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bunin 1987   46  0.5671  0.0066  0.0557  0.0565  0.0465  0.04
Bunin 1987b   44  0.5679  0.0065  0.0556  0.0562  0.0457  0.04
Chiu 1999   40  0.5976  0.0026  0.0720  0.3525  0.3120  0.33
Cohen 1997   49  0.554  0.068  0.0718  0.374  0.528  0.44
Cortot 1951   78  0.3777  0.0083  0.0384  0.0377  0.0383  0.03
Csalog 1996   64  0.4852  0.0041  0.0540  0.1229  0.2828  0.18
Czerny 1949   74  0.4064  0.0074  0.0477  0.0479  0.0374  0.03
Czerny 1990   50  0.5556  0.0073  0.0554  0.0579  0.0366  0.04
Duchoud 2007   69  0.4688  0.0076  0.0476  0.0488  0.0276  0.03
Ezaki 2006   29  0.6311  0.0338  0.0543  0.1081  0.0350  0.05
Falvay 1989   2  0.762  0.123  0.131  0.5615  0.386  0.46
Farrell 1958   27  0.6424  0.0149  0.0746  0.0728  0.2033  0.12
Ferenczy 1958   68  0.4617  0.0179  0.0465  0.0466  0.0373  0.03
Fliere 1977   10  0.7250  0.0022  0.0714  0.3954  0.0529  0.14
Fou 1978   7  0.7223  0.017  0.076  0.4716  0.447  0.45
Francois 1956   63  0.4867  0.0067  0.0462  0.0484  0.0385  0.03
Friedman 1923   91  -0.1882  0.0091  0.0191  0.0185  0.0391  0.02
Friedman 1923b   90  -0.1789  0.0090  0.0290  0.0284  0.0390  0.02
Friedman 1930   86  0.0557  0.0086  0.0383  0.0385  0.0288  0.02
Garcia 2007   62  0.4962  0.0053  0.0460  0.0428  0.2540  0.10
Garcia 2007b   76  0.3855  0.0054  0.0549  0.057  0.4030  0.14
Gierzod 1998   41  0.5953  0.0044  0.0445  0.0981  0.0352  0.05
Gornostaeva 1994   20  0.6642  0.0036  0.0636  0.1545  0.0838  0.11
Groot 1988   9  0.726  0.046  0.085  0.4925  0.2518  0.35
Harasiewicz 1955   48  0.5551  0.0024  0.0726  0.2852  0.0535  0.12
Hatto 1993   79  0.3621  0.0140  0.0535  0.1650  0.0443  0.08
Hatto 1997   73  0.4174  0.0043  0.0738  0.1354  0.0445  0.07
Horowitz 1949   23  0.659  0.0313  0.099  0.4512  0.3811  0.41
Indjic 1988   77  0.3885  0.0042  0.0537  0.1450  0.0444  0.07
Kapell 1951   61  0.4941  0.0059  0.0468  0.0475  0.0369  0.03
Kissin 1993   13  0.6848  0.0025  0.0816  0.3929  0.2522  0.31
Kushner 1989   19  0.6686  0.0032  0.0533  0.2255  0.0441  0.09
Luisada 1991   5  0.7416  0.0220  0.0813  0.4017  0.3813  0.39
Lushtak 2004   51  0.5468  0.0055  0.0464  0.0478  0.0378  0.03
Malcuzynski 1961   14  0.6769  0.0033  0.0734  0.2072  0.0342  0.08
Magaloff 1978   1  0.771  0.211  0.202  0.5412  0.434  0.48
Magin 1975   34  0.6158  0.0029  0.1029  0.2820  0.2623  0.27
Michalowski 1933   85  0.1946  0.0075  0.0479  0.0456  0.0559  0.04
Milkina 1970   3  0.7513  0.024  0.123  0.537  0.492  0.51
Mohovich 1999   11  0.7110  0.0327  0.0925  0.3054  0.0437  0.11
Moravec 1969   54  0.5360  0.0051  0.0469  0.0457  0.0453  0.04
Morozova 2008   33  0.6120  0.0134  0.0632  0.2360  0.0439  0.10
Neighaus 1950   35  0.6083  0.0047  0.0474  0.0476  0.0382  0.03
Niedzielski 1931   70  0.4532  0.0052  0.0555  0.0521  0.2636  0.11
Ohlsson 1999   38  0.5940  0.0058  0.0475  0.0464  0.0371  0.03
Osinska 1989   36  0.6080  0.0062  0.0461  0.0446  0.0555  0.04
Pachmann 1927   42  0.5939  0.0023  0.0731  0.2518  0.4519  0.34
Paderewski 1930   59  0.5090  0.0072  0.0463  0.0463  0.0370  0.03
Perlemuter 1992   47  0.5578  0.0063  0.0550  0.0559  0.0454  0.04
Pierdomenico 2008   17  0.6663  0.0017  0.0815  0.3914  0.3415  0.36
Poblocka 1999   39  0.5965  0.0064  0.0648  0.0654  0.0451  0.05
Rabcewiczowa 1932   75  0.3854  0.0082  0.0381  0.0376  0.0368  0.03
Rachmaninoff 1923   67  0.4743  0.0068  0.0459  0.0446  0.0556  0.04
Rangell 2001   16  0.6733  0.0016  0.0712  0.4115  0.3017  0.35
Richter 1976   26  0.6481  0.0028  0.0924  0.3311  0.3916  0.36
Rosen 1989   22  0.6530  0.0131  0.0827  0.2831  0.2724  0.27
Rosenthal 1930   65  0.4859  0.0070  0.0551  0.0568  0.0364  0.04
Rosenthal 1931   31  0.6247  0.0015  0.0811  0.4110  0.469  0.43
Rosenthal 1931b   28  0.6461  0.005  0.087  0.467  0.505  0.48
Rosenthal 1931c   58  0.5072  0.0061  0.0472  0.0467  0.0384  0.03
Rosenthal 1931d   6  0.723  0.072  0.154  0.525  0.551  0.53
Rossi 2007   80  0.347  0.0435  0.0641  0.1028  0.1631  0.13
Rubinstein 1939   57  0.515  0.059  0.0728  0.283  0.5612  0.40
Rubinstein 1952   8  0.7214  0.0214  0.098  0.469  0.543  0.50
Rubinstein 1966   43  0.5731  0.0139  0.0542  0.1034  0.1832  0.13
Schilhawsky 1960   66  0.4744  0.0069  0.0647  0.0680  0.0362  0.04
Shebanova 2002   21  0.6634  0.0030  0.0730  0.2631  0.2526  0.25
Smith 1975   30  0.6325  0.0137  0.0639  0.1373  0.0347  0.06
Sokolov 2002   55  0.5249  0.0071  0.0458  0.0480  0.0367  0.03
Sztompka 1959   84  0.2973  0.0084  0.0289  0.0288  0.0286  0.02
Tomsic 1995   25  0.6419  0.0148  0.0553  0.0575  0.0358  0.04
Uninsky 1932   83  0.3075  0.0085  0.0285  0.0289  0.0289  0.02
Uninsky 1971   72  0.4229  0.0181  0.0470  0.0484  0.0272  0.03
Wasowski 1980   52  0.5338  0.0060  0.0471  0.0442  0.1046  0.06
Zak 1937   32  0.6135  0.0012  0.0923  0.3436  0.2025  0.26
Zak 1951   37  0.6018  0.0111  0.0621  0.3544  0.1427  0.22
Average   4  0.7515  0.0210  0.0610  0.4581  0.0334  0.12
Random 1   88  -0.0391  0.0089  0.0288  0.0239  0.1748  0.06
Random 2   89  -0.1687  0.0088  0.0287  0.0252  0.0475  0.03
Random 3   87  0.0484  0.0087  0.0286  0.0255  0.0480  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).