Magin 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   31  0.5911  0.0316  0.0718  0.3139  0.2226  0.26
Anderszewski 2003   4  0.721  0.231  0.237  0.492  0.555  0.52
Ashkenazy 1981   5  0.7213  0.024  0.173  0.583  0.552  0.56
Bacha 2000   75  0.4688  0.0058  0.0552  0.0556  0.0564  0.05
Badura 1965   61  0.5082  0.0062  0.0371  0.0344  0.1362  0.06
Barbosa 1983   87  0.2887  0.0085  0.0380  0.0386  0.0383  0.03
Biret 1990   64  0.5089  0.0059  0.0466  0.0476  0.0477  0.04
Blet 2003   56  0.5443  0.0071  0.0374  0.0366  0.0484  0.03
Block 1995   32  0.5929  0.0038  0.0533  0.1820  0.3429  0.25
Blumental 1952   68  0.494  0.0718  0.0741  0.1239  0.1444  0.13
Boshniakovich 1969   10  0.6855  0.0021  0.0830  0.2125  0.3127  0.26
Brailowsky 1960   39  0.5763  0.0031  0.0532  0.1824  0.3428  0.25
Bunin 1987   66  0.4938  0.0064  0.0464  0.0444  0.1460  0.07
Bunin 1987b   65  0.5036  0.0063  0.0463  0.0444  0.1359  0.07
Chiu 1999   73  0.4767  0.0051  0.0548  0.0540  0.1750  0.09
Cohen 1997   88  0.1883  0.0088  0.0369  0.0357  0.0488  0.03
Cortot 1951   71  0.4875  0.0082  0.0285  0.0276  0.0489  0.03
Csalog 1996   86  0.2932  0.0061  0.0370  0.0358  0.0573  0.04
Czerny 1949   57  0.5253  0.0043  0.0640  0.1364  0.0555  0.08
Czerny 1990   17  0.6526  0.0119  0.0712  0.4129  0.2517  0.32
Duchoud 2007   21  0.6245  0.0028  0.0923  0.2816  0.3815  0.33
Ezaki 2006   11  0.6854  0.0013  0.1114  0.3528  0.3016  0.32
Falvay 1989   72  0.4860  0.0075  0.0286  0.0246  0.0969  0.04
Farrell 1958   69  0.4956  0.0080  0.0376  0.0368  0.0480  0.03
Ferenczy 1958   83  0.3986  0.0087  0.0375  0.0387  0.0386  0.03
Fliere 1977   7  0.7120  0.0110  0.108  0.4928  0.3110  0.39
Fou 1978   29  0.6010  0.0327  0.0920  0.3031  0.2523  0.27
Francois 1956   74  0.4684  0.0046  0.0555  0.0540  0.1457  0.08
Friedman 1923   79  0.4179  0.0079  0.0373  0.0326  0.2953  0.09
Friedman 1923b   80  0.4161  0.0078  0.0288  0.0228  0.2956  0.08
Friedman 1930   76  0.4557  0.0077  0.0287  0.0249  0.0774  0.04
Garcia 2007   42  0.5790  0.0039  0.0542  0.1124  0.3336  0.19
Garcia 2007b   62  0.5034  0.0037  0.0539  0.1413  0.2737  0.19
Gierzod 1998   15  0.6516  0.0217  0.0713  0.3932  0.2518  0.31
Gornostaeva 1994   13  0.6650  0.0026  0.0921  0.2917  0.3913  0.34
Groot 1988   58  0.5251  0.0055  0.0551  0.0545  0.0863  0.06
Harasiewicz 1955   20  0.639  0.036  0.1510  0.4710  0.458  0.46
Hatto 1993   36  0.5819  0.0114  0.0824  0.2613  0.4712  0.35
Hatto 1997   43  0.5669  0.0029  0.0928  0.2219  0.3124  0.26
Horowitz 1949   28  0.6047  0.0041  0.0435  0.1616  0.4822  0.28
Indjic 1988   38  0.5730  0.0023  0.0725  0.2514  0.4314  0.33
Kapell 1951   54  0.5564  0.0065  0.0460  0.0478  0.0381  0.03
Kissin 1993   6  0.7217  0.018  0.105  0.5210  0.534  0.52
Kushner 1989   3  0.723  0.085  0.142  0.607  0.541  0.57
Luisada 1991   2  0.757  0.032  0.204  0.554  0.543  0.54
Lushtak 2004   63  0.5073  0.0066  0.0549  0.0571  0.0376  0.04
Malcuzynski 1961   19  0.6428  0.0133  0.0526  0.2518  0.3221  0.28
Magaloff 1978   25  0.6168  0.0045  0.0545  0.0941  0.1547  0.12
Magin 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Michalowski 1933   47  0.5618  0.0130  0.0631  0.1928  0.3131  0.24
Milkina 1970   18  0.6533  0.0022  0.0819  0.3029  0.2919  0.29
Mohovich 1999   26  0.6048  0.0035  0.0534  0.1843  0.1045  0.13
Moravec 1969   78  0.4281  0.0073  0.0383  0.0352  0.0478  0.03
Morozova 2008   8  0.705  0.057  0.1516  0.3121  0.2720  0.29
Neighaus 1950   22  0.6174  0.0025  0.0815  0.3338  0.1634  0.23
Niedzielski 1931   60  0.5122  0.0147  0.0459  0.0423  0.3048  0.11
Ohlsson 1999   12  0.678  0.039  0.096  0.5012  0.447  0.47
Osinska 1989   52  0.5572  0.0069  0.0556  0.0585  0.0368  0.04
Pachmann 1927   84  0.3977  0.0084  0.0381  0.0365  0.0482  0.03
Paderewski 1930   67  0.4937  0.0081  0.0378  0.0385  0.0291  0.02
Perlemuter 1992   53  0.5531  0.0044  0.0543  0.1142  0.1049  0.10
Pierdomenico 2008   30  0.6080  0.0034  0.0536  0.1528  0.3632  0.23
Poblocka 1999   27  0.6023  0.0148  0.0553  0.0544  0.1058  0.07
Rabcewiczowa 1932   70  0.4866  0.0072  0.0379  0.0375  0.0379  0.03
Rachmaninoff 1923   24  0.6112  0.0311  0.1111  0.4412  0.449  0.44
Rangell 2001   46  0.5662  0.0050  0.0646  0.0621  0.3443  0.14
Richter 1976   33  0.5815  0.0240  0.0644  0.1115  0.4435  0.22
Rosen 1989   9  0.696  0.0412  0.129  0.4915  0.476  0.48
Rosenthal 1930   55  0.5544  0.0070  0.0367  0.0358  0.0487  0.03
Rosenthal 1931   37  0.5759  0.0052  0.0547  0.0515  0.4939  0.16
Rosenthal 1931b   40  0.5742  0.0053  0.0550  0.0513  0.4841  0.15
Rosenthal 1931c   50  0.5524  0.0160  0.0368  0.0328  0.3052  0.09
Rosenthal 1931d   45  0.5625  0.0156  0.0458  0.0418  0.4246  0.13
Rossi 2007   81  0.4049  0.0068  0.0465  0.0444  0.1061  0.06
Rubinstein 1939   85  0.3739  0.0086  0.0372  0.0350  0.0570  0.04
Rubinstein 1952   82  0.3935  0.0076  0.0284  0.0278  0.0490  0.03
Rubinstein 1966   77  0.4485  0.0083  0.0377  0.0386  0.0385  0.03
Schilhawsky 1960   49  0.5627  0.0142  0.0537  0.1543  0.1640  0.15
Shebanova 2002   23  0.6152  0.0036  0.0529  0.2224  0.3125  0.26
Smith 1975   14  0.6676  0.0024  0.0827  0.2345  0.0942  0.14
Sokolov 2002   16  0.6521  0.0120  0.0617  0.3122  0.3911  0.35
Sztompka 1959   51  0.5565  0.0067  0.0462  0.0471  0.0472  0.04
Tomsic 1995   59  0.5170  0.0074  0.0382  0.0352  0.0571  0.04
Uninsky 1932   48  0.5671  0.0057  0.0554  0.0543  0.1454  0.08
Uninsky 1971   41  0.5741  0.0054  0.0461  0.0453  0.0665  0.05
Wasowski 1980   34  0.5840  0.0049  0.0557  0.0569  0.0467  0.04
Zak 1937   44  0.5646  0.0032  0.0438  0.1533  0.2138  0.18
Zak 1951   35  0.5814  0.0215  0.0822  0.2829  0.2130  0.24
Average   1  0.752  0.103  0.141  0.6147  0.0933  0.23
Random 1   91  -0.1158  0.0091  0.0191  0.0135  0.2566  0.05
Random 2   90  -0.0978  0.0090  0.0190  0.0131  0.1775  0.04
Random 3   89  0.0691  0.0089  0.0289  0.0211  0.4451  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).