Cortot 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   28  0.4856  0.0034  0.0736  0.2585  0.0340  0.09
Anderszewski 2003   29  0.4844  0.0035  0.0833  0.3083  0.0339  0.09
Ashkenazy 1981   40  0.4514  0.0129  0.0931  0.3363  0.0431  0.11
Bacha 2000   38  0.4533  0.0038  0.0839  0.2255  0.0435  0.09
Badura 1965   73  0.3565  0.0079  0.0553  0.0582  0.0367  0.04
Barbosa 1983   50  0.4329  0.0052  0.0466  0.0453  0.0563  0.04
Biret 1990   17  0.5121  0.0014  0.1019  0.4860  0.0424  0.14
Blet 2003   63  0.4078  0.0076  0.0563  0.0565  0.0464  0.04
Block 1995   47  0.4345  0.0051  0.0467  0.0475  0.0468  0.04
Blumental 1952   21  0.498  0.0218  0.1111  0.5772  0.0418  0.15
Boshniakovich 1969   23  0.4937  0.0024  0.0827  0.4074  0.0428  0.13
Brailowsky 1960   59  0.4171  0.0069  0.0373  0.0358  0.0553  0.04
Bunin 1987   74  0.3570  0.0072  0.0379  0.0355  0.0571  0.04
Bunin 1987b   79  0.3372  0.0075  0.0468  0.0469  0.0460  0.04
Chiu 1999   70  0.3775  0.0065  0.0381  0.0378  0.0376  0.03
Cohen 1997   84  0.3060  0.0080  0.0558  0.0577  0.0370  0.04
Cortot 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Csalog 1996   82  0.3182  0.0074  0.0472  0.0486  0.0380  0.03
Czerny 1949   3  0.597  0.045  0.182  0.7240  0.252  0.42
Czerny 1990   22  0.4973  0.0032  0.1229  0.3985  0.0332  0.11
Duchoud 2007   81  0.3364  0.0064  0.0382  0.0377  0.0382  0.03
Ezaki 2006   19  0.5022  0.0033  0.0638  0.2271  0.0434  0.09
Falvay 1989   85  0.3083  0.0087  0.0386  0.0376  0.0377  0.03
Farrell 1958   11  0.5311  0.0110  0.209  0.5960  0.0611  0.19
Ferenczy 1958   56  0.4138  0.0061  0.0648  0.0665  0.0365  0.04
Fliere 1977   9  0.5379  0.0017  0.1112  0.5663  0.0415  0.15
Fou 1978   24  0.4940  0.0028  0.1025  0.4281  0.0427  0.13
Francois 1956   72  0.3684  0.0078  0.0562  0.0578  0.0374  0.04
Friedman 1923   64  0.4089  0.0067  0.0471  0.0479  0.0389  0.03
Friedman 1923b   65  0.3980  0.0068  0.0375  0.0382  0.0385  0.03
Friedman 1930   76  0.3446  0.0086  0.0374  0.0381  0.0381  0.03
Garcia 2007   27  0.4985  0.0026  0.0726  0.4143  0.148  0.24
Garcia 2007b   35  0.4634  0.0023  0.0823  0.4644  0.1010  0.21
Gierzod 1998   42  0.4586  0.0050  0.0552  0.0571  0.0466  0.04
Gornostaeva 1994   34  0.4619  0.0054  0.0561  0.0588  0.0372  0.04
Groot 1988   48  0.4339  0.0031  0.0932  0.3162  0.0530  0.12
Harasiewicz 1955   5  0.5713  0.018  0.284  0.6955  0.0513  0.19
Hatto 1993   33  0.4748  0.0021  0.1814  0.5271  0.0426  0.14
Hatto 1997   31  0.4857  0.0019  0.0915  0.5275  0.0422  0.14
Horowitz 1949   45  0.4435  0.0046  0.0555  0.0553  0.0650  0.05
Indjic 1988   32  0.4874  0.0020  0.1113  0.5272  0.0421  0.14
Kapell 1951   14  0.526  0.067  0.247  0.6150  0.0612  0.19
Kissin 1993   18  0.5030  0.0025  0.1021  0.4783  0.0329  0.12
Kushner 1989   53  0.4215  0.0159  0.0647  0.0675  0.0359  0.04
Luisada 1991   61  0.4116  0.0071  0.0470  0.0478  0.0375  0.03
Lushtak 2004   41  0.4527  0.0036  0.0642  0.1366  0.0445  0.07
Malcuzynski 1961   6  0.561  0.211  0.2110  0.5928  0.245  0.38
Magaloff 1978   36  0.4647  0.0041  0.0740  0.1864  0.0441  0.08
Magin 1975   49  0.4366  0.0062  0.0556  0.0570  0.0457  0.04
Michalowski 1933   69  0.3862  0.0070  0.0378  0.0367  0.0479  0.03
Milkina 1970   30  0.4876  0.0037  0.0634  0.2776  0.0433  0.10
Mohovich 1999   68  0.3867  0.0060  0.0646  0.0685  0.0369  0.04
Moravec 1969   55  0.4251  0.0045  0.0445  0.0973  0.0349  0.05
Morozova 2008   39  0.4541  0.0049  0.0560  0.0556  0.0551  0.05
Neighaus 1950   26  0.4931  0.0022  0.0828  0.3953  0.0525  0.14
Niedzielski 1931   25  0.4912  0.0140  0.0935  0.2679  0.0337  0.09
Ohlsson 1999   57  0.4158  0.0058  0.0551  0.0586  0.0362  0.04
Osinska 1989   15  0.5161  0.0015  0.1016  0.5059  0.0614  0.17
Pachmann 1927   88  0.2655  0.0088  0.0288  0.0285  0.0290  0.02
Paderewski 1930   58  0.4118  0.0053  0.0550  0.0538  0.1638  0.09
Perlemuter 1992   62  0.4068  0.0056  0.0557  0.0583  0.0352  0.04
Pierdomenico 2008   86  0.2923  0.0073  0.0380  0.0369  0.0556  0.04
Poblocka 1999   10  0.534  0.086  0.178  0.6038  0.236  0.37
Rabcewiczowa 1932   54  0.4242  0.0047  0.0549  0.0580  0.0358  0.04
Rachmaninoff 1923   12  0.5220  0.0013  0.1022  0.4762  0.0420  0.14
Rangell 2001   46  0.4428  0.0030  0.1030  0.3337  0.277  0.30
Richter 1976   20  0.5010  0.0112  0.1320  0.4735  0.353  0.41
Rosen 1989   71  0.3790  0.0077  0.0469  0.0483  0.0384  0.03
Rosenthal 1930   60  0.4152  0.0066  0.0377  0.0349  0.0483  0.03
Rosenthal 1931   80  0.3381  0.0084  0.0287  0.0281  0.0391  0.02
Rosenthal 1931b   83  0.3132  0.0085  0.0384  0.0374  0.0386  0.03
Rosenthal 1931c   77  0.3491  0.0082  0.0383  0.0381  0.0387  0.03
Rosenthal 1931d   78  0.3350  0.0083  0.0376  0.0350  0.0573  0.04
Rossi 2007   67  0.3843  0.0044  0.0444  0.1079  0.0447  0.06
Rubinstein 1939   37  0.4549  0.0039  0.0837  0.2576  0.0336  0.09
Rubinstein 1952   75  0.3587  0.0063  0.0465  0.0478  0.0388  0.03
Rubinstein 1966   43  0.4563  0.0042  0.0741  0.1681  0.0442  0.08
Schilhawsky 1960   4  0.585  0.074  0.283  0.7132  0.381  0.52
Shebanova 2002   16  0.5159  0.0027  0.0924  0.4463  0.0517  0.15
Smith 1975   51  0.4353  0.0055  0.0564  0.0583  0.0355  0.04
Sokolov 2002   66  0.3836  0.0057  0.0554  0.0577  0.0354  0.04
Sztompka 1959   2  0.592  0.192  0.195  0.6939  0.224  0.39
Tomsic 1995   87  0.2824  0.0081  0.0385  0.0377  0.0478  0.03
Uninsky 1932   8  0.549  0.0111  0.2117  0.4960  0.0423  0.14
Uninsky 1971   7  0.5517  0.009  0.246  0.6348  0.079  0.21
Wasowski 1980   13  0.5226  0.0016  0.0918  0.4980  0.0419  0.14
Zak 1937   44  0.4469  0.0043  0.0543  0.1163  0.0544  0.07
Zak 1951   52  0.4288  0.0048  0.0559  0.0579  0.0461  0.04
Average   1  0.633  0.183  0.221  0.7679  0.0316  0.15
Random 1   91  0.0077  0.0089  0.0189  0.011  0.5743  0.08
Random 2   89  0.0154  0.0091  0.0191  0.0120  0.3148  0.06
Random 3   90  0.0025  0.0090  0.0190  0.012  0.5646  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).