Magin 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   30  0.5912  0.0315  0.0717  0.3138  0.2226  0.26
Anderszewski 2003   3  0.721  0.231  0.236  0.491  0.555  0.52
Ashkenazy 1981   4  0.726  0.043  0.172  0.582  0.552  0.56
Bacha 2000   74  0.4687  0.0057  0.0551  0.0555  0.0563  0.05
Badura 1965   60  0.5081  0.0061  0.0370  0.0343  0.1361  0.06
Barbosa 1983   86  0.2885  0.0084  0.0379  0.0385  0.0383  0.03
Biret 1990   63  0.5088  0.0058  0.0465  0.0475  0.0478  0.04
Blet 2003   55  0.5442  0.0070  0.0373  0.0365  0.0484  0.03
Block 1995   31  0.5928  0.0037  0.0532  0.1819  0.3429  0.25
Blumental 1952   67  0.493  0.0717  0.0740  0.1238  0.1444  0.13
Boshniakovich 1969   9  0.6854  0.0020  0.0829  0.2124  0.3127  0.26
Brailowsky 1960   38  0.5762  0.0030  0.0531  0.1823  0.3428  0.25
Bunin 1987   65  0.4937  0.0063  0.0463  0.0443  0.1459  0.07
Bunin 1987b   64  0.5034  0.0062  0.0462  0.0443  0.1358  0.07
Chiu 1999   72  0.4765  0.0050  0.0547  0.0539  0.1749  0.09
Cohen 1997   87  0.1883  0.0087  0.0368  0.0356  0.0487  0.03
Cortot 1951   70  0.4873  0.0081  0.0284  0.0275  0.0488  0.03
Csalog 1996   85  0.2931  0.0060  0.0369  0.0357  0.0573  0.04
Czerny 1949   56  0.5252  0.0042  0.0739  0.1363  0.0554  0.08
Czerny 1990   16  0.6526  0.0118  0.0711  0.4128  0.2517  0.32
Duchoud 2007   20  0.6244  0.0027  0.0922  0.2815  0.3815  0.33
Ezaki 2006   10  0.6850  0.0012  0.1113  0.3527  0.3016  0.32
Falvay 1989   71  0.4859  0.0074  0.0285  0.0245  0.0968  0.04
Farrell 1958   68  0.4955  0.0079  0.0375  0.0367  0.0481  0.03
Ferenczy 1958   82  0.3986  0.0086  0.0374  0.0386  0.0386  0.03
Fliere 1977   6  0.7119  0.019  0.107  0.4927  0.3110  0.39
Fou 1978   28  0.6014  0.0326  0.0919  0.3030  0.2523  0.27
Francois 1956   73  0.4684  0.0045  0.0554  0.0539  0.1456  0.08
Friedman 1923   78  0.4179  0.0078  0.0372  0.0325  0.2952  0.09
Friedman 1923b   79  0.4160  0.0077  0.0287  0.0227  0.2955  0.08
Friedman 1930   75  0.4556  0.0076  0.0286  0.0248  0.0774  0.04
Garcia 2007   41  0.5789  0.0038  0.0541  0.1123  0.3335  0.19
Garcia 2007b   61  0.5033  0.0036  0.0538  0.1412  0.2736  0.19
Gierzod 1998   14  0.6513  0.0316  0.0712  0.3931  0.2518  0.31
Gornostaeva 1994   12  0.6649  0.0025  0.0920  0.2916  0.3913  0.34
Groot 1988   57  0.5251  0.0054  0.0550  0.0544  0.0862  0.06
Harasiewicz 1955   19  0.638  0.045  0.169  0.479  0.458  0.46
Hatto 1993   35  0.5818  0.0113  0.0823  0.2612  0.4712  0.35
Hatto 1997   42  0.5667  0.0028  0.0927  0.2218  0.3124  0.26
Horowitz 1949   27  0.6046  0.0040  0.0434  0.1615  0.4822  0.28
Indjic 1988   37  0.5729  0.0022  0.0724  0.2513  0.4314  0.33
Kapell 1951   53  0.5563  0.0064  0.0459  0.0477  0.0470  0.04
Kissin 1993   5  0.7215  0.037  0.104  0.529  0.534  0.52
Kushner 1989   2  0.722  0.094  0.141  0.606  0.541  0.57
Luisada 1991   1  0.7510  0.032  0.213  0.553  0.543  0.54
Lushtak 2004   62  0.5070  0.0065  0.0548  0.0570  0.0377  0.04
Malcuzynski 1961   18  0.6427  0.0132  0.0525  0.2517  0.3221  0.28
Magaloff 1978   24  0.6168  0.0044  0.0544  0.0940  0.1546  0.12
Magin 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Michalowski 1933   46  0.5617  0.0129  0.0630  0.1927  0.3131  0.24
Milkina 1970   17  0.6532  0.0021  0.0818  0.3028  0.2919  0.29
Mohovich 1999   25  0.6047  0.0034  0.0533  0.1842  0.1045  0.13
Moravec 1969   77  0.4280  0.0072  0.0382  0.0351  0.0479  0.03
Morozova 2008   7  0.704  0.056  0.1515  0.3120  0.2720  0.29
Neighaus 1950   21  0.6175  0.0024  0.0814  0.3337  0.1633  0.23
Niedzielski 1931   59  0.5121  0.0146  0.0458  0.0422  0.3047  0.11
Ohlsson 1999   11  0.677  0.048  0.095  0.5011  0.447  0.47
Osinska 1989   51  0.5572  0.0068  0.0555  0.0584  0.0367  0.04
Pachmann 1927   83  0.3976  0.0083  0.0380  0.0364  0.0482  0.03
Paderewski 1930   66  0.4936  0.0080  0.0377  0.0384  0.0290  0.02
Perlemuter 1992   52  0.5530  0.0043  0.0542  0.1141  0.1048  0.10
Pierdomenico 2008   29  0.6077  0.0033  0.0535  0.1527  0.3632  0.23
Poblocka 1999   26  0.6022  0.0147  0.0552  0.0543  0.1057  0.07
Rabcewiczowa 1932   69  0.4866  0.0071  0.0378  0.0374  0.0380  0.03
Rachmaninoff 1923   23  0.619  0.0410  0.1110  0.4411  0.449  0.44
Rangell 2001   45  0.5661  0.0049  0.0645  0.0620  0.3442  0.14
Richter 1976   32  0.5816  0.0239  0.0643  0.1114  0.4434  0.22
Rosen 1989   8  0.695  0.0411  0.138  0.4914  0.476  0.48
Rosenthal 1930   54  0.5543  0.0069  0.0466  0.0457  0.0476  0.04
Rosenthal 1931   36  0.5758  0.0051  0.0546  0.0514  0.4938  0.16
Rosenthal 1931b   39  0.5741  0.0052  0.0549  0.0512  0.4840  0.15
Rosenthal 1931c   49  0.5523  0.0159  0.0367  0.0327  0.3051  0.09
Rosenthal 1931d   44  0.5624  0.0155  0.0557  0.0517  0.4243  0.14
Rossi 2007   80  0.4048  0.0067  0.0464  0.0443  0.1060  0.06
Rubinstein 1939   84  0.3738  0.0085  0.0371  0.0349  0.0669  0.04
Rubinstein 1952   81  0.3935  0.0075  0.0283  0.0277  0.0489  0.03
Rubinstein 1966   76  0.4482  0.0082  0.0376  0.0385  0.0385  0.03
Schilhawsky 1960   48  0.5625  0.0141  0.0536  0.1542  0.1639  0.15
Shebanova 2002   22  0.6153  0.0035  0.0528  0.2223  0.3125  0.26
Smith 1975   13  0.6674  0.0023  0.0826  0.2344  0.0941  0.14
Sokolov 2002   15  0.6520  0.0119  0.0716  0.3121  0.3911  0.35
Sztompka 1959   50  0.5564  0.0066  0.0461  0.0470  0.0472  0.04
Tomsic 1995   58  0.5169  0.0073  0.0381  0.0351  0.0571  0.04
Uninsky 1932   47  0.5671  0.0056  0.0553  0.0542  0.1453  0.08
Uninsky 1971   40  0.5740  0.0053  0.0460  0.0452  0.0664  0.05
Wasowski 1980   33  0.5839  0.0048  0.0556  0.0568  0.0466  0.04
Zak 1937   43  0.5645  0.0031  0.0437  0.1532  0.2137  0.18
Zak 1951   34  0.5811  0.0314  0.0821  0.2828  0.2130  0.24
Random 1   90  -0.1157  0.0090  0.0190  0.0134  0.2465  0.05
Random 2   89  -0.0978  0.0089  0.0189  0.0132  0.1675  0.04
Random 3   88  0.0690  0.0088  0.0288  0.0211  0.4450  0.09

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).