Cortot 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   11  0.6679  0.0025  0.0819  0.3545  0.0533  0.13
Anderszewski 2003   40  0.5741  0.0047  0.0562  0.0548  0.0555  0.05
Ashkenazy 1981   20  0.6326  0.0011  0.1311  0.4626  0.3114  0.38
Bacha 2000   70  0.4652  0.0073  0.0477  0.0473  0.0459  0.04
Badura 1965   46  0.566  0.0337  0.0633  0.2033  0.2723  0.23
Barbosa 1983   71  0.4566  0.0065  0.0470  0.0462  0.0568  0.04
Biret 1990   15  0.6545  0.0014  0.099  0.4633  0.2318  0.33
Blet 2003   19  0.6383  0.0042  0.0639  0.1647  0.0640  0.10
Block 1995   59  0.5138  0.0029  0.0542  0.1559  0.0449  0.08
Blumental 1952   34  0.5935  0.0013  0.1113  0.425  0.4110  0.41
Boshniakovich 1969   30  0.6165  0.0059  0.0647  0.0653  0.0556  0.05
Brailowsky 1960   64  0.4862  0.0079  0.0465  0.0471  0.0460  0.04
Bunin 1987   53  0.5477  0.0056  0.0945  0.0933  0.2929  0.16
Bunin 1987b   55  0.5381  0.0055  0.0553  0.0533  0.2736  0.12
Chiu 1999   78  0.4134  0.0074  0.0479  0.0464  0.0461  0.04
Cohen 1997   87  0.2942  0.0080  0.0472  0.0470  0.0473  0.04
Cortot 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Csalog 1996   76  0.4369  0.0071  0.0382  0.0355  0.0569  0.04
Czerny 1949   4  0.7116  0.016  0.144  0.6219  0.405  0.50
Czerny 1990   9  0.6813  0.0118  0.0718  0.3848  0.0532  0.14
Duchoud 2007   24  0.6314  0.0126  0.0714  0.4113  0.4013  0.40
Ezaki 2006   14  0.6511  0.0235  0.0829  0.2887  0.0342  0.09
Falvay 1989   77  0.4257  0.0082  0.0285  0.0283  0.0388  0.02
Farrell 1958   27  0.6220  0.0023  0.0623  0.3038  0.1226  0.19
Ferenczy 1958   13  0.6618  0.0012  0.1610  0.466  0.457  0.45
Fliere 1977   12  0.6615  0.0140  0.0635  0.1969  0.0346  0.08
Fou 1978   72  0.4556  0.0077  0.0473  0.0478  0.0462  0.04
Francois 1956   56  0.5328  0.0066  0.0648  0.0674  0.0375  0.04
Friedman 1923   66  0.4785  0.0051  0.0561  0.0515  0.4430  0.15
Friedman 1923b   68  0.4782  0.0050  0.0556  0.0516  0.4031  0.14
Friedman 1930   58  0.5288  0.0049  0.0558  0.0528  0.2937  0.12
Garcia 2007   47  0.5660  0.0032  0.0636  0.1819  0.3721  0.26
Garcia 2007b   73  0.4519  0.0022  0.0738  0.1729  0.1728  0.17
Gierzod 1998   17  0.6451  0.0034  0.0725  0.3052  0.0538  0.12
Gornostaeva 1994   48  0.5653  0.0064  0.0469  0.0484  0.0284  0.03
Groot 1988   42  0.5717  0.0130  0.0740  0.1662  0.0450  0.08
Harasiewicz 1955   52  0.5531  0.0031  0.0624  0.3064  0.0439  0.11
Hatto 1993   74  0.4590  0.0054  0.0560  0.0553  0.0557  0.05
Hatto 1997   61  0.5076  0.0044  0.0544  0.1048  0.0748  0.08
Horowitz 1949   43  0.5754  0.0048  0.0466  0.0444  0.0852  0.06
Indjic 1988   69  0.4686  0.0053  0.0564  0.0551  0.0654  0.05
Kapell 1951   2  0.752  0.172  0.392  0.696  0.472  0.57
Kissin 1993   45  0.5687  0.0062  0.0555  0.0587  0.0367  0.04
Kushner 1989   23  0.6347  0.0045  0.0550  0.0576  0.0363  0.04
Luisada 1991   63  0.5027  0.0069  0.0467  0.0487  0.0276  0.03
Lushtak 2004   35  0.5924  0.0016  0.0822  0.3140  0.1325  0.20
Malcuzynski 1961   16  0.653  0.114  0.1215  0.4031  0.1920  0.28
Magaloff 1978   62  0.5043  0.0078  0.0471  0.0485  0.0377  0.03
Magin 1975   65  0.4875  0.0072  0.0475  0.0484  0.0280  0.03
Michalowski 1933   38  0.5870  0.0015  0.1116  0.3916  0.4112  0.40
Milkina 1970   41  0.5748  0.0046  0.0552  0.0570  0.0465  0.04
Mohovich 1999   49  0.5572  0.0060  0.0649  0.0682  0.0371  0.04
Moravec 1969   28  0.618  0.0219  0.0726  0.2916  0.4015  0.34
Morozova 2008   36  0.5922  0.0024  0.0632  0.2164  0.0444  0.09
Neighaus 1950   21  0.6321  0.0033  0.0630  0.2664  0.0441  0.10
Niedzielski 1931   31  0.609  0.0220  0.0921  0.3319  0.3417  0.33
Ohlsson 1999   33  0.5963  0.0038  0.0637  0.1855  0.0543  0.09
Osinska 1989   3  0.7212  0.019  0.133  0.6224  0.346  0.46
Pachmann 1927   86  0.3080  0.0087  0.0286  0.0287  0.0289  0.02
Paderewski 1930   18  0.6429  0.0036  0.0728  0.2818  0.3119  0.29
Perlemuter 1992   32  0.6067  0.0041  0.0641  0.1567  0.0447  0.08
Pierdomenico 2008   79  0.417  0.0276  0.0381  0.0376  0.0378  0.03
Poblocka 1999   6  0.6910  0.023  0.177  0.4917  0.359  0.41
Rabcewiczowa 1932   29  0.6158  0.0043  0.0843  0.1531  0.2227  0.18
Rachmaninoff 1923   39  0.5730  0.0021  0.0927  0.2854  0.0535  0.12
Rangell 2001   75  0.4436  0.0068  0.0563  0.0575  0.0374  0.04
Richter 1976   51  0.5539  0.0061  0.0746  0.0750  0.0653  0.06
Rosen 1989   54  0.5337  0.0063  0.0468  0.0483  0.0383  0.03
Rosenthal 1930   37  0.5925  0.0052  0.0557  0.0520  0.3334  0.13
Rosenthal 1931   81  0.3950  0.0081  0.0474  0.0485  0.0282  0.03
Rosenthal 1931b   83  0.3771  0.0085  0.0384  0.0383  0.0386  0.03
Rosenthal 1931c   57  0.5223  0.0067  0.0559  0.0548  0.0558  0.05
Rosenthal 1931d   82  0.3864  0.0086  0.0380  0.0378  0.0385  0.03
Rossi 2007   80  0.415  0.0317  0.0731  0.2222  0.2922  0.25
Rubinstein 1939   85  0.3573  0.0083  0.0287  0.0275  0.0479  0.03
Rubinstein 1952   84  0.3649  0.0084  0.0383  0.0369  0.0487  0.03
Rubinstein 1966   60  0.5132  0.0070  0.0476  0.0465  0.0470  0.04
Schilhawsky 1960   5  0.7059  0.005  0.105  0.6115  0.454  0.52
Shebanova 2002   26  0.6233  0.0039  0.0734  0.2079  0.0445  0.09
Smith 1975   22  0.6355  0.0028  0.0520  0.3536  0.1324  0.21
Sokolov 2002   25  0.6378  0.0027  0.1017  0.3836  0.2916  0.33
Sztompka 1959   1  0.771  0.391  0.391  0.726  0.541  0.62
Tomsic 1995   67  0.4744  0.0075  0.0478  0.0472  0.0381  0.03
Uninsky 1932   7  0.6874  0.007  0.166  0.5511  0.523  0.53
Uninsky 1971   8  0.6840  0.008  0.138  0.4918  0.398  0.44
Wasowski 1980   10  0.674  0.0510  0.1312  0.4615  0.3511  0.40
Zak 1937   44  0.5789  0.0058  0.0551  0.0567  0.0464  0.04
Zak 1951   50  0.5584  0.0057  0.0554  0.0576  0.0466  0.04
Random 1   89  -0.0561  0.0088  0.0189  0.014  0.5451  0.07
Random 2   90  -0.1068  0.0090  0.0190  0.0163  0.0490  0.02
Random 3   88  -0.0146  0.0089  0.0188  0.0132  0.1972  0.04

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).