Csalog 1996

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   34  0.4836  0.0052  0.0367  0.0381  0.0378  0.03
Anderszewski 2003   72  0.3349  0.0064  0.0450  0.0483  0.0371  0.03
Ashkenazy 1981   79  0.3181  0.0073  0.0457  0.0473  0.0454  0.04
Bacha 2000   46  0.4420  0.0119  0.0721  0.3333  0.1418  0.21
Badura 1965   73  0.3115  0.0151  0.0368  0.0359  0.0553  0.04
Barbosa 1983   83  0.2616  0.0120  0.0732  0.2333  0.1722  0.20
Biret 1990   27  0.5143  0.0027  0.0628  0.2864  0.0433  0.11
Blet 2003   13  0.5623  0.0024  0.0725  0.3034  0.1914  0.24
Block 1995   81  0.2925  0.0075  0.0284  0.0256  0.0581  0.03
Blumental 1952   16  0.556  0.035  0.114  0.4830  0.1613  0.28
Boshniakovich 1969   62  0.3648  0.0076  0.0286  0.0274  0.0482  0.03
Brailowsky 1960   65  0.3559  0.0069  0.0369  0.0366  0.0460  0.03
Bunin 1987   66  0.3550  0.0079  0.0382  0.0355  0.0655  0.04
Bunin 1987b   67  0.3488  0.0078  0.0285  0.0254  0.0666  0.03
Chiu 1999   69  0.3332  0.0021  0.0726  0.2837  0.1817  0.22
Cohen 1997   60  0.3852  0.0017  0.0722  0.328  0.457  0.38
Cortot 1951   40  0.4685  0.0056  0.0549  0.0573  0.0458  0.04
Csalog 1996   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1949   68  0.3489  0.0082  0.0452  0.0488  0.0277  0.03
Czerny 1990   21  0.5286  0.0023  0.0817  0.3672  0.0337  0.10
Duchoud 2007   82  0.2855  0.0080  0.0380  0.0380  0.0380  0.03
Ezaki 2006   56  0.3942  0.0040  0.0438  0.1582  0.0341  0.07
Falvay 1989   12  0.572  0.124  0.145  0.473  0.562  0.51
Farrell 1958   76  0.3170  0.0070  0.0454  0.0478  0.0450  0.04
Ferenczy 1958   4  0.623  0.083  0.167  0.445  0.505  0.47
Fliere 1977   36  0.4721  0.0142  0.0642  0.1283  0.0346  0.06
Fou 1978   28  0.5037  0.0031  0.0627  0.2848  0.0528  0.12
Francois 1956   30  0.5078  0.0035  0.0634  0.1846  0.0638  0.10
Friedman 1923   88  0.2282  0.0085  0.0383  0.0377  0.0387  0.03
Friedman 1923b   87  0.2245  0.0084  0.0379  0.0378  0.0383  0.03
Friedman 1930   86  0.2373  0.0086  0.0288  0.0268  0.0474  0.03
Garcia 2007   45  0.4541  0.0059  0.0364  0.0384  0.0290  0.02
Garcia 2007b   33  0.4863  0.0046  0.0374  0.0383  0.0386  0.03
Gierzod 1998   35  0.4747  0.0054  0.0373  0.0382  0.0379  0.03
Gornostaeva 1994   52  0.4164  0.0071  0.0548  0.0584  0.0284  0.03
Groot 1988   51  0.4156  0.0043  0.0445  0.0874  0.0447  0.06
Harasiewicz 1955   61  0.3728  0.0058  0.0547  0.0570  0.0459  0.04
Hatto 1993   80  0.3019  0.0162  0.0461  0.0475  0.0457  0.04
Hatto 1997   77  0.3134  0.0061  0.0372  0.0373  0.0475  0.03
Horowitz 1949   85  0.2387  0.0088  0.0459  0.0485  0.0368  0.03
Indjic 1988   78  0.3118  0.0163  0.0451  0.0475  0.0452  0.04
Kapell 1951   1  0.771  0.381  0.371  0.7013  0.333  0.48
Kissin 1993   18  0.5311  0.0237  0.0833  0.2076  0.0339  0.08
Kushner 1989   10  0.589  0.0212  0.089  0.4244  0.1120  0.21
Luisada 1991   57  0.3979  0.0041  0.0440  0.1268  0.0442  0.07
Lushtak 2004   37  0.4735  0.0018  0.0914  0.3842  0.1123  0.20
Malcuzynski 1961   75  0.3153  0.0083  0.0375  0.0381  0.0367  0.03
Magaloff 1978   58  0.3840  0.0072  0.0546  0.0575  0.0449  0.04
Magin 1975   48  0.4346  0.0068  0.0462  0.0488  0.0365  0.03
Michalowski 1933   50  0.4233  0.0049  0.0458  0.0462  0.0551  0.04
Milkina 1970   15  0.5614  0.0129  0.0719  0.3480  0.0335  0.10
Mohovich 1999   5  0.6017  0.016  0.133  0.5138  0.258  0.36
Moravec 1969   7  0.6026  0.0013  0.0712  0.3914  0.486  0.43
Morozova 2008   55  0.4029  0.0060  0.0455  0.0473  0.0373  0.03
Neighaus 1950   74  0.3191  0.0074  0.0376  0.0365  0.0556  0.04
Niedzielski 1931   42  0.4683  0.0057  0.0453  0.0471  0.0364  0.03
Ohlsson 1999   70  0.3330  0.0065  0.0371  0.0388  0.0289  0.02
Osinska 1989   31  0.5057  0.0038  0.0831  0.2656  0.0532  0.11
Pachmann 1927   64  0.3561  0.0077  0.0287  0.0274  0.0388  0.02
Paderewski 1930   19  0.5390  0.0036  0.0736  0.1759  0.0343  0.07
Perlemuter 1992   24  0.5222  0.018  0.0915  0.3843  0.1315  0.22
Pierdomenico 2008   71  0.3351  0.0081  0.0370  0.0374  0.0463  0.03
Poblocka 1999   9  0.5913  0.0114  0.078  0.4345  0.1116  0.22
Rabcewiczowa 1932   3  0.6365  0.007  0.146  0.4631  0.2110  0.31
Rachmaninoff 1923   63  0.3671  0.0067  0.0377  0.0380  0.0362  0.03
Rangell 2001   49  0.4344  0.0048  0.0366  0.0354  0.0485  0.03
Richter 1976   84  0.2560  0.0087  0.0378  0.0368  0.0469  0.03
Rosen 1989   6  0.6031  0.0022  0.0716  0.3753  0.0525  0.14
Rosenthal 1930   8  0.5912  0.0215  0.0713  0.3922  0.269  0.32
Rosenthal 1931   22  0.5262  0.0039  0.0639  0.1331  0.2224  0.17
Rosenthal 1931b   25  0.5276  0.0044  0.0343  0.1139  0.1331  0.12
Rosenthal 1931c   11  0.5858  0.0028  0.0629  0.2719  0.3311  0.30
Rosenthal 1931d   29  0.5077  0.0045  0.0544  0.0935  0.1730  0.12
Rossi 2007   59  0.3827  0.0026  0.0637  0.1628  0.2521  0.20
Rubinstein 1939   44  0.4572  0.0030  0.0730  0.2634  0.1719  0.21
Rubinstein 1952   2  0.685  0.042  0.212  0.524  0.551  0.53
Rubinstein 1966   47  0.4410  0.0216  0.0820  0.3439  0.2312  0.28
Schilhawsky 1960   54  0.4154  0.0066  0.0381  0.0374  0.0472  0.03
Shebanova 2002   20  0.5384  0.0010  0.0718  0.3469  0.0429  0.12
Smith 1975   38  0.4774  0.0034  0.0635  0.1842  0.0827  0.12
Sokolov 2002   43  0.4624  0.0047  0.0463  0.0475  0.0361  0.03
Sztompka 1959   53  0.4139  0.0055  0.0460  0.0486  0.0370  0.03
Tomsic 1995   17  0.547  0.039  0.0811  0.419  0.564  0.48
Uninsky 1932   39  0.4666  0.0050  0.0365  0.0372  0.0476  0.03
Uninsky 1971   32  0.494  0.0525  0.0741  0.1276  0.0444  0.07
Wasowski 1980   41  0.4680  0.0053  0.0456  0.0468  0.0548  0.04
Zak 1937   23  0.5268  0.0033  0.0823  0.3183  0.0334  0.10
Zak 1951   26  0.5238  0.0032  0.0624  0.3173  0.0336  0.10
Average   14  0.568  0.0211  0.0710  0.4169  0.0426  0.13
Random 1   90  -0.1469  0.0090  0.0290  0.0220  0.2845  0.07
Random 2   91  -0.2275  0.0091  0.0191  0.0181  0.0291  0.01
Random 3   89  -0.0967  0.0089  0.0289  0.0225  0.3240  0.08

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).