Brailowsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   58  0.5048  0.0058  0.0656  0.0646  0.0647  0.06
Ashkenazy 1981   42  0.5650  0.0046  0.0747  0.0760  0.0550  0.06
Beliavsky 2004   60  0.4551  0.0060  0.0461  0.0451  0.0655  0.05
BenOr 1989   2  0.691  0.231  0.231  0.7457  0.059  0.19
Biret 1990   24  0.6124  0.0025  0.0825  0.2953  0.0525  0.12
Blet 2003   11  0.643  0.115  0.208  0.6144  0.0511  0.17
Block 1995   35  0.5829  0.0028  0.0928  0.2151  0.0528  0.10
Brailowsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Chiu 1999   59  0.4832  0.0055  0.0841  0.0861  0.0353  0.05
Clidat 1994   9  0.6415  0.0112  0.1320  0.4341  0.0614  0.16
Cohen 1997   61  0.3838  0.0062  0.0657  0.0662  0.0461  0.05
Coop 1987   48  0.5646  0.0033  0.0940  0.0957  0.0443  0.06
Cortot 1951   57  0.5012  0.0261  0.0655  0.0661  0.0364  0.04
Czerny 1949   10  0.647  0.0411  0.1911  0.5660  0.0418  0.15
Czerny 1949b   16  0.6249  0.0019  0.1018  0.4559  0.0420  0.13
Ezaki 2006   23  0.6133  0.0013  0.1414  0.4936  0.095  0.21
Falvay 1989   37  0.5836  0.0027  0.0827  0.2258  0.0430  0.09
Ferenczy 1958   18  0.625  0.073  0.2410  0.5715  0.592  0.58
Fiorentino 1962   30  0.6054  0.0026  0.1024  0.3359  0.0427  0.11
Fliere 1977   33  0.5947  0.0038  0.1133  0.1161  0.0533  0.07
Fou 1978   4  0.669  0.046  0.246  0.6351  0.067  0.19
Francois 1956   28  0.6063  0.0037  0.1034  0.1047  0.0539  0.07
Hatto 1997   54  0.5165  0.0056  0.0560  0.0556  0.0557  0.05
Horowitz 1971   7  0.6417  0.0016  0.1219  0.4359  0.0423  0.13
Horowitz 1985   46  0.5619  0.0040  0.0748  0.0736  0.0834  0.07
Indjic 2001   55  0.5152  0.0057  0.0559  0.0556  0.0558  0.05
Kapell 1951   32  0.5920  0.0023  0.0923  0.3655  0.0521  0.13
Kiepura 1999   26  0.6018  0.0031  0.0931  0.1958  0.0429  0.09
Kilenyi 1937   31  0.6025  0.0020  0.1016  0.4657  0.0517  0.15
Kissin 1993   50  0.5334  0.0051  0.0654  0.0646  0.0644  0.06
Kitain 1937   62  0.3330  0.0059  0.0462  0.0462  0.0463  0.04
Kushner 1990   19  0.6222  0.0024  0.0921  0.4058  0.0422  0.13
Levy 1951   39  0.5755  0.0018  0.1022  0.3958  0.0519  0.14
Luisada 1990   14  0.6316  0.0022  0.0926  0.2547  0.0624  0.12
Lushtak 2004   41  0.5743  0.0043  0.0937  0.0961  0.0448  0.06
Lympany 1968   25  0.6114  0.0134  0.0744  0.0757  0.0452  0.05
Magaloff 1977   36  0.5842  0.0045  0.0749  0.0756  0.0546  0.06
Magaloff 1977b   43  0.5661  0.0048  0.0651  0.0659  0.0459  0.05
Magin 1975   13  0.638  0.0417  0.1313  0.5457  0.0513  0.16
Milkina 1970   29  0.6058  0.0035  0.1036  0.1060  0.0442  0.06
Mohovich 1999   38  0.5726  0.0039  0.0746  0.0750  0.0549  0.06
Nadelmann 1956   3  0.6811  0.038  0.182  0.6840  0.066  0.20
Ohlsson 1999   56  0.5145  0.0054  0.0652  0.0654  0.0556  0.05
Olejniczac 1990   22  0.6144  0.0015  0.1312  0.5558  0.0512  0.17
Olejniczak 1991   27  0.6057  0.0030  0.0930  0.2061  0.0431  0.09
Osinska 1989   1  0.696  0.064  0.203  0.6757  0.0510  0.18
Paderewski 1912   52  0.5353  0.0052  0.0558  0.0560  0.0462  0.04
Perahia 1994   45  0.5637  0.0050  0.0938  0.0946  0.0538  0.07
Perlemuter 1986   17  0.6241  0.0032  0.0932  0.1861  0.0432  0.08
Poblocka 1999   5  0.654  0.0910  0.205  0.6438  0.084  0.23
Rangell 2001   53  0.5362  0.0053  0.0745  0.0759  0.0551  0.06
Risler 1920   49  0.5539  0.0042  0.0842  0.0851  0.0635  0.07
Rosen 1989   8  0.642  0.172  0.174  0.6411  0.541  0.59
Rubinstein 1939   47  0.5621  0.0047  0.0653  0.0647  0.0554  0.05
Rubinstein 1952   12  0.6410  0.037  0.249  0.6156  0.0415  0.16
Rubinstein 1966   6  0.6531  0.009  0.227  0.6141  0.068  0.19
Rummel 1943   15  0.6313  0.0214  0.1517  0.4522  0.223  0.31
Shebanova 2002   34  0.5940  0.0029  0.0929  0.2042  0.0626  0.11
Smith 1975   20  0.6228  0.0036  0.0939  0.0941  0.0536  0.07
Szpilman 1948   21  0.6127  0.0021  0.1215  0.4861  0.0516  0.15
Uninsky 1971   40  0.5735  0.0041  0.0750  0.0753  0.0545  0.06
Wasowski 1980   44  0.5656  0.0044  0.0843  0.0852  0.0540  0.06
Weissenberg 1971   51  0.5359  0.0049  0.1035  0.1057  0.0441  0.06
Random 1    64  -0.0364  0.0063  0.0263  0.0219  0.2537  0.07
Random 2   63  -0.0260  0.0064  0.0264  0.0265  0.0265  0.02
Random 3   65  -0.0723  0.0065  0.0265  0.0231  0.1560  0.05

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).