Brailowsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   37  0.6160  0.0052  0.0371  0.0379  0.0379  0.03
Anderszewski 2003   1  0.7510  0.0310  0.1219  0.3442  0.1516  0.23
Ashkenazy 1981   42  0.5930  0.0033  0.0733  0.2148  0.0634  0.11
Bacha 2000   3  0.7443  0.0014  0.1110  0.4317  0.307  0.36
Badura 1965   73  0.4659  0.0087  0.0463  0.0483  0.0382  0.03
Barbosa 1983   36  0.614  0.074  0.123  0.532  0.601  0.56
Biret 1990   10  0.7022  0.0017  0.0818  0.3544  0.0821  0.17
Blet 2003   49  0.5740  0.0067  0.0467  0.0465  0.0463  0.04
Block 1995   50  0.566  0.068  0.1125  0.2825  0.2115  0.24
Blumental 1952   35  0.625  0.0616  0.0815  0.3857  0.0430  0.12
Boshniakovich 1969   64  0.5383  0.0073  0.0377  0.0376  0.0383  0.03
Brailowsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bunin 1987   86  0.3085  0.0084  0.0384  0.0357  0.0568  0.04
Bunin 1987b   87  0.2872  0.0083  0.0385  0.0358  0.0562  0.04
Chiu 1999   4  0.738  0.052  0.117  0.517  0.414  0.46
Cohen 1997   76  0.4555  0.0082  0.0286  0.0250  0.0584  0.03
Cortot 1951   43  0.5986  0.0061  0.0549  0.0577  0.0369  0.04
Csalog 1996   84  0.3561  0.0065  0.0465  0.0468  0.0376  0.03
Czerny 1949   62  0.5335  0.0078  0.0451  0.0480  0.0378  0.03
Czerny 1990   18  0.6867  0.0025  0.0723  0.3064  0.0338  0.09
Duchoud 2007   78  0.4437  0.0075  0.0373  0.0364  0.0480  0.03
Ezaki 2006   5  0.7316  0.0112  0.095  0.5240  0.1214  0.25
Falvay 1989   21  0.6731  0.0023  0.0829  0.2415  0.5110  0.35
Farrell 1958   20  0.6726  0.0013  0.128  0.4630  0.289  0.36
Ferenczy 1958   39  0.6141  0.0059  0.0458  0.0462  0.0465  0.04
Fliere 1977   14  0.692  0.107  0.1111  0.4355  0.0522  0.15
Fou 1978   40  0.6063  0.0050  0.0464  0.0466  0.0461  0.04
Francois 1956   30  0.6447  0.0056  0.0548  0.0553  0.0559  0.05
Friedman 1923   26  0.6549  0.0040  0.0540  0.1354  0.0639  0.09
Friedman 1923b   32  0.6427  0.0042  0.0443  0.1272  0.0453  0.07
Friedman 1930   19  0.6742  0.0044  0.0544  0.0946  0.0747  0.08
Garcia 2007   51  0.5576  0.0057  0.0470  0.0474  0.0381  0.03
Garcia 2007b   47  0.5819  0.0139  0.0642  0.1253  0.0550  0.08
Gierzod 1998   53  0.5568  0.0062  0.0376  0.0386  0.0289  0.02
Gornostaeva 1994   17  0.6818  0.0124  0.0726  0.2731  0.2017  0.23
Groot 1988   16  0.683  0.085  0.156  0.5213  0.443  0.48
Harasiewicz 1955   28  0.6556  0.0045  0.0550  0.0567  0.0470  0.04
Hatto 1993   68  0.5188  0.0070  0.0379  0.0367  0.0485  0.03
Hatto 1997   57  0.5489  0.0072  0.0461  0.0469  0.0464  0.04
Horowitz 1949   61  0.539  0.0449  0.0462  0.0455  0.0657  0.05
Indjic 1988   56  0.5490  0.0071  0.0374  0.0379  0.0475  0.03
Kapell 1951   54  0.5514  0.0121  0.1017  0.3661  0.0428  0.12
Kissin 1993   67  0.5271  0.0063  0.0380  0.0381  0.0373  0.03
Kushner 1989   25  0.6679  0.0037  0.0735  0.2166  0.0437  0.09
Luisada 1991   12  0.697  0.063  0.121  0.6533  0.208  0.36
Lushtak 2004   27  0.6512  0.0220  0.1016  0.3745  0.0820  0.17
Malcuzynski 1961   72  0.4665  0.0076  0.0459  0.0446  0.0656  0.05
Magaloff 1978   9  0.7146  0.0015  0.0912  0.4015  0.376  0.38
Magin 1975   58  0.5328  0.0026  0.0928  0.2578  0.0336  0.09
Michalowski 1933   69  0.5148  0.0080  0.0372  0.0378  0.0372  0.03
Milkina 1970   11  0.7077  0.0030  0.0622  0.3170  0.0432  0.11
Mohovich 1999   2  0.7515  0.016  0.124  0.5232  0.305  0.39
Moravec 1969   66  0.5329  0.0048  0.0457  0.0426  0.3425  0.12
Morozova 2008   52  0.5573  0.0046  0.0645  0.0650  0.0558  0.05
Neighaus 1950   15  0.6832  0.0041  0.0538  0.1547  0.0735  0.10
Niedzielski 1931   41  0.6011  0.0235  0.0830  0.2376  0.0342  0.08
Ohlsson 1999   33  0.6351  0.0038  0.0639  0.1462  0.0452  0.07
Osinska 1989   7  0.7244  0.0011  0.1313  0.4077  0.0423  0.13
Pachmann 1927   45  0.5852  0.0085  0.0287  0.0275  0.0387  0.02
Paderewski 1930   48  0.5764  0.0079  0.0375  0.0386  0.0286  0.02
Perlemuter 1992   24  0.6624  0.0028  0.0536  0.1853  0.0440  0.08
Pierdomenico 2008   81  0.4178  0.0058  0.0469  0.0440  0.1541  0.08
Poblocka 1999   80  0.4223  0.0074  0.0454  0.0475  0.0460  0.04
Rabcewiczowa 1932   34  0.6369  0.0029  0.0537  0.1758  0.0443  0.08
Rachmaninoff 1923   8  0.7113  0.0118  0.099  0.4543  0.0818  0.19
Rangell 2001   82  0.4180  0.0060  0.0456  0.0444  0.0954  0.06
Richter 1976   85  0.3336  0.0086  0.0383  0.0374  0.0371  0.03
Rosen 1989   23  0.6625  0.009  0.1114  0.3932  0.1913  0.27
Rosenthal 1930   74  0.4639  0.0069  0.0466  0.0459  0.0467  0.04
Rosenthal 1931   60  0.5345  0.0053  0.0468  0.0418  0.3929  0.12
Rosenthal 1931b   63  0.5353  0.0054  0.0547  0.0519  0.3424  0.13
Rosenthal 1931c   75  0.4662  0.0068  0.0452  0.0438  0.1649  0.08
Rosenthal 1931d   59  0.5366  0.0051  0.0455  0.0416  0.3831  0.12
Rossi 2007   22  0.6687  0.0055  0.0453  0.0419  0.3527  0.12
Rubinstein 1939   46  0.5820  0.0136  0.0734  0.2136  0.1619  0.18
Rubinstein 1952   79  0.4417  0.0119  0.1020  0.3334  0.3311  0.33
Rubinstein 1966   13  0.6981  0.0022  0.0724  0.2831  0.2912  0.28
Schilhawsky 1960   77  0.4521  0.0077  0.0381  0.0378  0.0377  0.03
Shebanova 2002   29  0.6533  0.0031  0.0721  0.3170  0.0433  0.11
Smith 1975   6  0.721  0.251  0.252  0.634  0.472  0.54
Sokolov 2002   71  0.4984  0.0047  0.0646  0.0654  0.0455  0.05
Sztompka 1959   31  0.6434  0.0043  0.0541  0.1269  0.0451  0.07
Tomsic 1995   70  0.4957  0.0064  0.0382  0.0334  0.2446  0.08
Uninsky 1932   65  0.5338  0.0066  0.0460  0.0472  0.0466  0.04
Uninsky 1971   83  0.3754  0.0081  0.0378  0.0379  0.0474  0.03
Wasowski 1980   38  0.6150  0.0027  0.0527  0.2556  0.0626  0.12
Zak 1937   44  0.5970  0.0032  0.0731  0.2379  0.0344  0.08
Zak 1951   55  0.5582  0.0034  0.0832  0.2285  0.0345  0.08
Random 1   90  -0.3674  0.0090  0.0190  0.0190  0.0190  0.01
Random 2   89  -0.1675  0.0089  0.0189  0.0177  0.0388  0.02
Random 3   88  -0.0958  0.0088  0.0288  0.0226  0.2948  0.08

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).