Cortot 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   12  0.6680  0.0026  0.0820  0.3546  0.0534  0.13
Anderszewski 2003   41  0.5741  0.0048  0.0563  0.0549  0.0556  0.05
Ashkenazy 1981   21  0.6327  0.0012  0.1312  0.4627  0.3114  0.38
Bacha 2000   71  0.4652  0.0074  0.0478  0.0474  0.0460  0.04
Badura 1965   47  0.566  0.0338  0.0634  0.2034  0.2723  0.23
Barbosa 1983   72  0.4567  0.0066  0.0471  0.0463  0.0569  0.04
Biret 1990   16  0.6545  0.0015  0.0910  0.4634  0.2318  0.33
Blet 2003   20  0.6384  0.0043  0.0640  0.1648  0.0640  0.10
Block 1995   60  0.5136  0.0030  0.0543  0.1560  0.0450  0.08
Blumental 1952   35  0.5934  0.0014  0.1114  0.426  0.4110  0.41
Boshniakovich 1969   31  0.6166  0.0060  0.0648  0.0654  0.0557  0.05
Brailowsky 1960   65  0.4865  0.0080  0.0466  0.0472  0.0461  0.04
Bunin 1987   54  0.5478  0.0057  0.0946  0.0934  0.2930  0.16
Bunin 1987b   56  0.5382  0.0056  0.0554  0.0534  0.2736  0.12
Chiu 1999   79  0.4133  0.0075  0.0480  0.0465  0.0462  0.04
Cohen 1997   88  0.2942  0.0081  0.0473  0.0471  0.0474  0.04
Cortot 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Csalog 1996   77  0.4372  0.0072  0.0383  0.0356  0.0570  0.04
Czerny 1949   5  0.7117  0.017  0.135  0.6220  0.405  0.50
Czerny 1990   10  0.6812  0.0119  0.0719  0.3849  0.0533  0.14
Duchoud 2007   25  0.6315  0.0127  0.0715  0.4114  0.4013  0.40
Ezaki 2006   15  0.6514  0.0136  0.0830  0.2888  0.0342  0.09
Falvay 1989   78  0.4262  0.0083  0.0286  0.0284  0.0388  0.02
Farrell 1958   28  0.6221  0.0024  0.0624  0.3039  0.1226  0.19
Ferenczy 1958   14  0.6619  0.0013  0.1511  0.467  0.457  0.45
Fliere 1977   13  0.6616  0.0141  0.0636  0.1970  0.0346  0.08
Fou 1978   73  0.4557  0.0078  0.0474  0.0479  0.0463  0.04
Francois 1956   57  0.5346  0.0067  0.0649  0.0675  0.0376  0.04
Friedman 1923   67  0.4786  0.0052  0.0562  0.0516  0.4431  0.15
Friedman 1923b   69  0.4783  0.0051  0.0557  0.0517  0.4032  0.14
Friedman 1930   59  0.5289  0.0050  0.0559  0.0529  0.2937  0.12
Garcia 2007   48  0.5660  0.0033  0.0637  0.1820  0.3721  0.26
Garcia 2007b   74  0.4520  0.0023  0.0739  0.1730  0.1729  0.17
Gierzod 1998   18  0.6451  0.0035  0.0726  0.3053  0.0538  0.12
Gornostaeva 1994   49  0.5653  0.0065  0.0470  0.0485  0.0284  0.03
Groot 1988   43  0.5718  0.0131  0.0741  0.1663  0.0451  0.08
Harasiewicz 1955   53  0.5531  0.0032  0.0625  0.3065  0.0345  0.09
Hatto 1993   75  0.4591  0.0055  0.0561  0.0554  0.0558  0.05
Hatto 1997   62  0.5077  0.0045  0.0545  0.1049  0.0748  0.08
Horowitz 1949   44  0.5754  0.0049  0.0467  0.0445  0.0853  0.06
Indjic 1988   70  0.4687  0.0054  0.0465  0.0452  0.0655  0.05
Kapell 1951   3  0.752  0.172  0.382  0.697  0.472  0.57
Kissin 1993   46  0.5688  0.0063  0.0556  0.0588  0.0368  0.04
Kushner 1989   24  0.6348  0.0046  0.0551  0.0577  0.0364  0.04
Luisada 1991   64  0.5028  0.0070  0.0468  0.0488  0.0277  0.03
Lushtak 2004   36  0.5926  0.0017  0.0823  0.3141  0.1325  0.20
Malcuzynski 1961   17  0.653  0.115  0.1216  0.4032  0.1920  0.28
Magaloff 1978   63  0.5044  0.0079  0.0472  0.0486  0.0378  0.03
Magin 1975   66  0.4876  0.0073  0.0476  0.0485  0.0280  0.03
Michalowski 1933   39  0.5870  0.0016  0.1017  0.3917  0.4112  0.40
Milkina 1970   42  0.5749  0.0047  0.0553  0.0571  0.0466  0.04
Mohovich 1999   50  0.5573  0.0061  0.0650  0.0683  0.0372  0.04
Moravec 1969   29  0.619  0.0220  0.0727  0.2917  0.4015  0.34
Morozova 2008   37  0.5922  0.0025  0.0633  0.2165  0.0444  0.09
Neighaus 1950   22  0.6325  0.0034  0.0631  0.2665  0.0441  0.10
Niedzielski 1931   32  0.6010  0.0221  0.0922  0.3320  0.3417  0.33
Ohlsson 1999   34  0.5963  0.0039  0.0638  0.1856  0.0543  0.09
Osinska 1989   4  0.7213  0.0110  0.134  0.6225  0.346  0.46
Pachmann 1927   87  0.3081  0.0088  0.0287  0.0288  0.0290  0.02
Paderewski 1930   19  0.6430  0.0037  0.0729  0.2819  0.3119  0.29
Perlemuter 1992   33  0.6068  0.0042  0.0642  0.1568  0.0447  0.08
Pierdomenico 2008   80  0.417  0.0277  0.0382  0.0377  0.0379  0.03
Poblocka 1999   7  0.6911  0.024  0.178  0.4918  0.359  0.41
Rabcewiczowa 1932   30  0.6158  0.0044  0.0844  0.1532  0.2227  0.18
Rachmaninoff 1923   40  0.5729  0.0022  0.0928  0.2855  0.0439  0.11
Rangell 2001   76  0.4435  0.0069  0.0564  0.0576  0.0375  0.04
Richter 1976   52  0.5540  0.0062  0.0747  0.0751  0.0654  0.06
Rosen 1989   55  0.5337  0.0064  0.0469  0.0484  0.0383  0.03
Rosenthal 1930   38  0.5924  0.0053  0.0558  0.0521  0.3335  0.13
Rosenthal 1931   82  0.3950  0.0082  0.0475  0.0486  0.0282  0.03
Rosenthal 1931b   84  0.3771  0.0086  0.0385  0.0384  0.0386  0.03
Rosenthal 1931c   58  0.5223  0.0068  0.0560  0.0549  0.0559  0.05
Rosenthal 1931d   83  0.3864  0.0087  0.0381  0.0379  0.0385  0.03
Rossi 2007   81  0.415  0.0318  0.0732  0.2223  0.2922  0.25
Rubinstein 1939   86  0.3574  0.0084  0.0288  0.0276  0.0389  0.02
Rubinstein 1952   85  0.3655  0.0085  0.0384  0.0370  0.0487  0.03
Rubinstein 1966   61  0.5139  0.0071  0.0477  0.0466  0.0471  0.04
Schilhawsky 1960   6  0.7059  0.006  0.106  0.6116  0.454  0.52
Shebanova 2002   27  0.6232  0.0040  0.0735  0.2080  0.0349  0.08
Smith 1975   23  0.6356  0.0029  0.0521  0.3537  0.1324  0.21
Sokolov 2002   26  0.6379  0.0028  0.1018  0.3837  0.2916  0.33
Sztompka 1959   1  0.771  0.391  0.381  0.727  0.541  0.62
Tomsic 1995   68  0.4743  0.0076  0.0479  0.0473  0.0381  0.03
Uninsky 1932   8  0.6875  0.008  0.167  0.5512  0.523  0.53
Uninsky 1971   9  0.6838  0.009  0.139  0.4919  0.398  0.44
Wasowski 1980   11  0.674  0.0511  0.1313  0.4616  0.3511  0.40
Zak 1937   45  0.5790  0.0059  0.0552  0.0568  0.0465  0.04
Zak 1951   51  0.5585  0.0058  0.0555  0.0577  0.0367  0.04
Average   2  0.768  0.023  0.163  0.6854  0.0528  0.18
Random 1   90  -0.0561  0.0089  0.0190  0.014  0.5552  0.07
Random 2   91  -0.1069  0.0091  0.0191  0.0162  0.0491  0.02
Random 3   89  -0.0147  0.0090  0.0189  0.0131  0.2073  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).