Cortot 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   27  0.4857  0.0033  0.0735  0.2584  0.0339  0.09
Anderszewski 2003   28  0.4843  0.0034  0.0832  0.3082  0.0338  0.09
Ashkenazy 1981   39  0.4513  0.0128  0.0930  0.3362  0.0430  0.11
Bacha 2000   37  0.4532  0.0037  0.0838  0.2254  0.0532  0.10
Badura 1965   72  0.3566  0.0078  0.0552  0.0581  0.0367  0.04
Barbosa 1983   49  0.4328  0.0051  0.0465  0.0452  0.0563  0.04
Biret 1990   16  0.5121  0.0013  0.1018  0.4859  0.0423  0.14
Blet 2003   62  0.4079  0.0075  0.0562  0.0564  0.0464  0.04
Block 1995   46  0.4344  0.0050  0.0466  0.0474  0.0468  0.04
Blumental 1952   20  0.497  0.0217  0.1110  0.5771  0.0417  0.15
Boshniakovich 1969   22  0.4936  0.0023  0.0826  0.4073  0.0427  0.13
Brailowsky 1960   58  0.4171  0.0068  0.0372  0.0357  0.0552  0.04
Bunin 1987   73  0.3570  0.0071  0.0378  0.0354  0.0571  0.04
Bunin 1987b   78  0.3372  0.0074  0.0467  0.0468  0.0459  0.04
Chiu 1999   69  0.3776  0.0064  0.0380  0.0377  0.0378  0.03
Cohen 1997   83  0.3061  0.0079  0.0557  0.0576  0.0370  0.04
Cortot 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Csalog 1996   81  0.3183  0.0073  0.0471  0.0485  0.0381  0.03
Czerny 1949   2  0.596  0.054  0.191  0.7239  0.252  0.42
Czerny 1990   21  0.4973  0.0031  0.1228  0.3984  0.0331  0.11
Duchoud 2007   80  0.3364  0.0063  0.0381  0.0376  0.0383  0.03
Ezaki 2006   18  0.5017  0.0032  0.0737  0.2270  0.0434  0.09
Falvay 1989   84  0.3084  0.0086  0.0385  0.0375  0.0379  0.03
Farrell 1958   10  0.5311  0.019  0.208  0.5959  0.0611  0.19
Ferenczy 1958   55  0.4137  0.0060  0.0647  0.0664  0.0365  0.04
Fliere 1977   8  0.5374  0.0016  0.1111  0.5662  0.0415  0.15
Fou 1978   23  0.4939  0.0027  0.1024  0.4280  0.0426  0.13
Francois 1956   71  0.3680  0.0077  0.0561  0.0577  0.0375  0.04
Friedman 1923   63  0.4089  0.0066  0.0470  0.0478  0.0476  0.04
Friedman 1923b   64  0.3981  0.0067  0.0374  0.0381  0.0386  0.03
Friedman 1930   75  0.3446  0.0085  0.0373  0.0380  0.0382  0.03
Garcia 2007   26  0.4985  0.0025  0.0725  0.4142  0.148  0.24
Garcia 2007b   34  0.4633  0.0022  0.0822  0.4643  0.1010  0.21
Gierzod 1998   41  0.4586  0.0049  0.0551  0.0570  0.0466  0.04
Gornostaeva 1994   33  0.4620  0.0053  0.0560  0.0587  0.0372  0.04
Groot 1988   47  0.4338  0.0030  0.0931  0.3161  0.0529  0.12
Harasiewicz 1955   4  0.5710  0.017  0.293  0.6954  0.0513  0.19
Hatto 1993   32  0.4747  0.0020  0.1813  0.5270  0.0425  0.14
Hatto 1997   30  0.4858  0.0018  0.0914  0.5274  0.0421  0.14
Horowitz 1949   44  0.4434  0.0045  0.0554  0.0552  0.0648  0.05
Indjic 1988   31  0.4875  0.0019  0.1112  0.5271  0.0420  0.14
Kapell 1951   13  0.525  0.076  0.256  0.6149  0.0612  0.19
Kissin 1993   17  0.5029  0.0024  0.1020  0.4782  0.0328  0.12
Kushner 1989   52  0.4214  0.0158  0.0646  0.0674  0.0358  0.04
Luisada 1991   60  0.4115  0.0070  0.0469  0.0477  0.0377  0.03
Lushtak 2004   40  0.4527  0.0035  0.0641  0.1365  0.0542  0.08
Malcuzynski 1961   5  0.562  0.212  0.219  0.5927  0.245  0.38
Magaloff 1978   35  0.4648  0.0040  0.0739  0.1863  0.0440  0.08
Magin 1975   48  0.4367  0.0061  0.0555  0.0569  0.0456  0.04
Michalowski 1933   68  0.3855  0.0069  0.0377  0.0366  0.0480  0.03
Milkina 1970   29  0.4849  0.0036  0.0733  0.2775  0.0433  0.10
Mohovich 1999   67  0.3865  0.0059  0.0645  0.0684  0.0369  0.04
Moravec 1969   54  0.4251  0.0044  0.0544  0.0972  0.0347  0.05
Morozova 2008   38  0.4540  0.0048  0.0559  0.0555  0.0549  0.05
Neighaus 1950   25  0.4930  0.0021  0.0827  0.3952  0.0524  0.14
Niedzielski 1931   24  0.4912  0.0139  0.0934  0.2678  0.0336  0.09
Ohlsson 1999   56  0.4159  0.0057  0.0550  0.0585  0.0362  0.04
Osinska 1989   14  0.5162  0.0014  0.1015  0.5058  0.0614  0.17
Pachmann 1927   87  0.2656  0.0087  0.0287  0.0284  0.0289  0.02
Paderewski 1930   57  0.4118  0.0052  0.0549  0.0537  0.1637  0.09
Perlemuter 1992   61  0.4068  0.0055  0.0556  0.0582  0.0351  0.04
Pierdomenico 2008   85  0.2923  0.0072  0.0379  0.0368  0.0555  0.04
Poblocka 1999   9  0.534  0.125  0.177  0.6037  0.236  0.37
Rabcewiczowa 1932   53  0.4241  0.0046  0.0548  0.0579  0.0357  0.04
Rachmaninoff 1923   11  0.5222  0.0012  0.1121  0.4761  0.0419  0.14
Rangell 2001   45  0.4419  0.0029  0.1029  0.3336  0.277  0.30
Richter 1976   19  0.509  0.0111  0.1319  0.4734  0.353  0.41
Rosen 1989   70  0.3777  0.0076  0.0468  0.0482  0.0385  0.03
Rosenthal 1930   59  0.4152  0.0065  0.0376  0.0348  0.0484  0.03
Rosenthal 1931   79  0.3382  0.0083  0.0286  0.0280  0.0390  0.02
Rosenthal 1931b   82  0.3131  0.0084  0.0383  0.0373  0.0487  0.03
Rosenthal 1931c   76  0.3490  0.0081  0.0382  0.0380  0.0388  0.03
Rosenthal 1931d   77  0.3350  0.0082  0.0375  0.0349  0.0573  0.04
Rossi 2007   66  0.3842  0.0043  0.0443  0.1078  0.0446  0.06
Rubinstein 1939   36  0.4545  0.0038  0.0836  0.2575  0.0335  0.09
Rubinstein 1952   74  0.3587  0.0062  0.0564  0.0577  0.0374  0.04
Rubinstein 1966   42  0.4563  0.0041  0.0740  0.1680  0.0441  0.08
Schilhawsky 1960   3  0.583  0.143  0.292  0.7131  0.381  0.52
Shebanova 2002   15  0.5160  0.0026  0.0923  0.4462  0.0516  0.15
Smith 1975   50  0.4353  0.0054  0.0563  0.0582  0.0354  0.04
Sokolov 2002   65  0.3835  0.0056  0.0553  0.0576  0.0353  0.04
Sztompka 1959   1  0.591  0.221  0.224  0.6938  0.224  0.39
Tomsic 1995   86  0.2824  0.0080  0.0384  0.0376  0.0561  0.04
Uninsky 1932   7  0.548  0.0110  0.2216  0.4959  0.0422  0.14
Uninsky 1971   6  0.5516  0.008  0.245  0.6347  0.079  0.21
Wasowski 1980   12  0.5226  0.0015  0.1017  0.4979  0.0418  0.14
Zak 1937   43  0.4469  0.0042  0.0542  0.1162  0.0544  0.07
Zak 1951   51  0.4288  0.0047  0.0558  0.0578  0.0460  0.04
Random 1   90  0.0078  0.0088  0.0188  0.011  0.5743  0.08
Random 2   88  0.0154  0.0090  0.0190  0.0121  0.2950  0.05
Random 3   89  0.0025  0.0089  0.0189  0.013  0.5645  0.07

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).