Magin 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   65  0.3242  0.0072  0.0467  0.0478  0.0383  0.03
Anderszewski 2003   67  0.3143  0.0064  0.0468  0.0464  0.0475  0.04
Ashkenazy 1981   9  0.5013  0.0111  0.1910  0.6510  0.656  0.65
Bacha 2000   80  0.2291  0.0080  0.0476  0.0459  0.0471  0.04
Badura 1965   70  0.3075  0.0074  0.0559  0.0567  0.0377  0.04
Barbosa 1983   33  0.4021  0.0026  0.0722  0.4548  0.0836  0.19
Biret 1990   71  0.3010  0.0167  0.0561  0.0557  0.0570  0.05
Blet 2003   16  0.4512  0.0123  0.1026  0.409  0.5518  0.47
Block 1995   59  0.3444  0.0055  0.0648  0.0646  0.0854  0.07
Blumental 1952   28  0.4157  0.0033  0.0733  0.3531  0.3230  0.33
Boshniakovich 1969   18  0.4520  0.0017  0.0723  0.4335  0.2729  0.34
Brailowsky 1960   82  0.2189  0.0083  0.0385  0.0381  0.0380  0.03
Bunin 1987   51  0.3569  0.0044  0.0644  0.1138  0.1942  0.14
Bunin 1987b   57  0.3482  0.0047  0.0558  0.0539  0.2147  0.10
Chiu 1999   41  0.3922  0.0039  0.0838  0.2334  0.1834  0.20
Cohen 1997   76  0.2448  0.0081  0.0383  0.0385  0.0385  0.03
Cortot 1951   87  0.1577  0.0084  0.0288  0.0278  0.0290  0.02
Csalog 1996   26  0.4259  0.0030  0.1132  0.3519  0.3928  0.37
Czerny 1949   72  0.2885  0.0069  0.0562  0.0547  0.0858  0.06
Czerny 1990   25  0.4245  0.0014  0.1613  0.5829  0.5013  0.54
Duchoud 2007   64  0.3253  0.0062  0.0465  0.0438  0.1453  0.07
Ezaki 2006   69  0.3180  0.0070  0.0481  0.0459  0.0660  0.05
Falvay 1989   35  0.3949  0.0042  0.0742  0.1852  0.0646  0.10
Farrell 1958   79  0.2360  0.0073  0.0473  0.0472  0.0381  0.03
Ferenczy 1958   88  0.0988  0.0088  0.0386  0.0384  0.0382  0.03
Fliere 1977   4  0.537  0.026  0.205  0.7218  0.499  0.59
Fou 1978   43  0.3823  0.0046  0.0554  0.0547  0.0664  0.05
Francois 1956   66  0.3140  0.0068  0.0474  0.0428  0.2749  0.10
Friedman 1923   61  0.3329  0.0059  0.0471  0.0445  0.1059  0.06
Friedman 1923b   60  0.3383  0.0060  0.0555  0.0541  0.1851  0.09
Friedman 1930   21  0.4337  0.0015  0.1014  0.5717  0.5511  0.56
Garcia 2007   74  0.2787  0.0066  0.0477  0.0453  0.0576  0.04
Garcia 2007b   17  0.456  0.0213  0.1415  0.566  0.698  0.62
Gierzod 1998   49  0.3750  0.0034  0.0834  0.3243  0.1335  0.20
Gornostaeva 1994   44  0.3864  0.0045  0.0645  0.1140  0.1345  0.12
Groot 1988   3  0.543  0.054  0.237  0.667  0.597  0.62
Harasiewicz 1955   15  0.4646  0.0019  0.0817  0.5451  0.0637  0.18
Hatto 1993   8  0.5130  0.007  0.243  0.758  0.663  0.70
Hatto 1997   29  0.4151  0.0021  0.0919  0.5028  0.3124  0.39
Horowitz 1949   63  0.3227  0.0071  0.0475  0.0448  0.0665  0.05
Indjic 1988   6  0.515  0.023  0.302  0.767  0.722  0.74
Kapell 1951   27  0.4171  0.0020  0.0824  0.4234  0.2232  0.30
Kissin 1993   7  0.514  0.058  0.386  0.717  0.801  0.75
Kushner 1989   10  0.5076  0.0010  0.1311  0.6322  0.4215  0.51
Luisada 1991   12  0.4816  0.0016  0.1016  0.5412  0.5412  0.54
Lushtak 2004   58  0.3468  0.0051  0.0557  0.0547  0.0667  0.05
Malcuzynski 1961   13  0.4626  0.0012  0.1812  0.5925  0.4514  0.52
Magaloff 1978   34  0.4081  0.0037  0.0735  0.3146  0.0739  0.15
Magin 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Michalowski 1933   30  0.418  0.0132  0.1039  0.235  0.6326  0.38
Milkina 1970   50  0.3638  0.0048  0.0560  0.0548  0.0856  0.06
Mohovich 1999   53  0.3570  0.0052  0.0650  0.0664  0.0469  0.05
Moravec 1969   48  0.3774  0.0053  0.0651  0.0664  0.0561  0.05
Morozova 2008   47  0.3766  0.0041  0.0741  0.1959  0.0548  0.10
Neighaus 1950   68  0.3139  0.0061  0.0479  0.0481  0.0387  0.03
Niedzielski 1931   42  0.3854  0.0043  0.0840  0.1921  0.3833  0.27
Ohlsson 1999   20  0.4431  0.0024  0.0721  0.4525  0.3225  0.38
Osinska 1989   40  0.3936  0.0038  0.0837  0.2868  0.0543  0.12
Pachmann 1927   32  0.4041  0.0036  0.0736  0.309  0.6122  0.43
Paderewski 1930   39  0.3934  0.0049  0.0472  0.0420  0.5241  0.14
Perlemuter 1992   19  0.4419  0.0028  0.0827  0.3712  0.5320  0.44
Pierdomenico 2008   62  0.3252  0.0063  0.0563  0.0539  0.1452  0.08
Poblocka 1999   56  0.3455  0.0065  0.0469  0.0457  0.0662  0.05
Rabcewiczowa 1932   78  0.2490  0.0076  0.0564  0.0569  0.0473  0.04
Rachmaninoff 1923   73  0.2858  0.0077  0.0653  0.0668  0.0463  0.05
Rangell 2001   83  0.2028  0.0079  0.0382  0.0384  0.0289  0.02
Richter 1976   5  0.5311  0.015  0.248  0.6611  0.685  0.67
Rosen 1989   54  0.3456  0.0056  0.0652  0.0666  0.0468  0.05
Rosenthal 1930   81  0.2284  0.0087  0.0480  0.0481  0.0384  0.03
Rosenthal 1931   84  0.2065  0.0082  0.0478  0.0467  0.0474  0.04
Rosenthal 1931b   85  0.1872  0.0085  0.0287  0.0269  0.0391  0.02
Rosenthal 1931c   77  0.2467  0.0078  0.0647  0.0675  0.0379  0.04
Rosenthal 1931d   86  0.1663  0.0086  0.0384  0.0378  0.0386  0.03
Rossi 2007   75  0.2624  0.0075  0.0466  0.0420  0.3944  0.12
Rubinstein 1939   52  0.3578  0.0050  0.0470  0.0466  0.0472  0.04
Rubinstein 1952   2  0.552  0.172  0.304  0.737  0.674  0.70
Rubinstein 1966   37  0.3935  0.0035  0.1131  0.3649  0.0838  0.17
Schilhawsky 1960   55  0.3486  0.0058  0.0556  0.0535  0.1750  0.09
Shebanova 2002   11  0.4914  0.019  0.269  0.6617  0.5210  0.59
Smith 1975   22  0.4333  0.0029  0.0930  0.3614  0.5819  0.46
Sokolov 2002   24  0.4218  0.0031  0.1028  0.378  0.6016  0.47
Sztompka 1959   38  0.3962  0.0057  0.0649  0.0650  0.0657  0.06
Tomsic 1995   45  0.3825  0.0040  0.0743  0.1742  0.1440  0.15
Uninsky 1932   36  0.3932  0.0025  0.0729  0.3725  0.3927  0.38
Uninsky 1971   46  0.3747  0.0054  0.0746  0.0771  0.0466  0.05
Wasowski 1980   14  0.469  0.0118  0.0818  0.5132  0.3721  0.43
Zak 1937   31  0.4117  0.0027  0.0725  0.4020  0.4223  0.41
Zak 1951   23  0.4215  0.0022  0.0920  0.4614  0.4817  0.47
Average   1  0.621  0.521  0.521  0.8545  0.1231  0.32
Random 1   89  -0.0179  0.0089  0.0289  0.0236  0.2455  0.07
Random 2   90  -0.0273  0.0091  0.0191  0.0174  0.0388  0.02
Random 3   91  -0.0361  0.0090  0.0190  0.0141  0.1478  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).