Magin 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   5  0.7130  0.003  0.135  0.615  0.625  0.61
Anderszewski 2003   29  0.6179  0.0024  0.1131  0.3026  0.4331  0.36
Ashkenazy 1981   13  0.6621  0.0011  0.1210  0.542  0.686  0.61
Bacha 2000   86  0.4081  0.0083  0.0466  0.0447  0.0581  0.04
Badura 1965   52  0.5484  0.0058  0.0548  0.0534  0.3160  0.12
Barbosa 1983   83  0.4435  0.0068  0.0555  0.0541  0.1371  0.08
Biret 1990   60  0.5116  0.0152  0.0469  0.0477  0.0486  0.04
Blet 2003   59  0.5285  0.0080  0.0375  0.0348  0.0778  0.05
Block 1995   72  0.4969  0.0063  0.0468  0.0432  0.2270  0.09
Blumental 1952   45  0.5662  0.0043  0.0643  0.1531  0.2245  0.18
Boshniakovich 1969   8  0.6880  0.0020  0.0928  0.3530  0.4227  0.38
Brailowsky 1960   73  0.4952  0.0075  0.0386  0.0332  0.3167  0.10
Bunin 1987   79  0.4638  0.0049  0.0472  0.0419  0.4356  0.13
Bunin 1987b   80  0.4617  0.0150  0.0471  0.0419  0.4352  0.13
Chiu 1999   74  0.4933  0.0044  0.0744  0.147  0.4240  0.24
Cohen 1997   88  0.2771  0.0088  0.0462  0.0462  0.0485  0.04
Cortot 1951   85  0.4388  0.0087  0.0470  0.0456  0.0587  0.04
Csalog 1996   77  0.4710  0.0151  0.0461  0.0444  0.1172  0.07
Czerny 1949   26  0.6259  0.009  0.1015  0.5021  0.5119  0.50
Czerny 1990   24  0.6376  0.0028  0.0819  0.4623  0.4424  0.45
Duchoud 2007   50  0.5486  0.0041  0.0641  0.204  0.6333  0.35
Ezaki 2006   17  0.6631  0.0021  0.1024  0.4316  0.5520  0.49
Falvay 1989   68  0.5047  0.0076  0.0374  0.0348  0.0977  0.05
Farrell 1958   64  0.5166  0.0059  0.0460  0.0446  0.0874  0.06
Ferenczy 1958   81  0.4660  0.0084  0.0379  0.0360  0.0488  0.03
Fliere 1977   2  0.7215  0.015  0.124  0.6412  0.518  0.57
Fou 1978   32  0.6122  0.0032  0.1127  0.3523  0.3830  0.36
Francois 1956   61  0.5139  0.0064  0.0549  0.0523  0.4547  0.15
Friedman 1923   49  0.5445  0.0055  0.0552  0.0528  0.3851  0.14
Friedman 1923b   48  0.5543  0.0054  0.0459  0.0430  0.4057  0.13
Friedman 1930   36  0.5926  0.0040  0.0838  0.2317  0.5134  0.34
Garcia 2007   38  0.5863  0.0053  0.0376  0.038  0.5555  0.13
Garcia 2007b   34  0.5953  0.0037  0.0635  0.2813  0.5228  0.38
Gierzod 1998   3  0.713  0.032  0.302  0.6711  0.613  0.64
Gornostaeva 1994   10  0.6734  0.0015  0.107  0.564  0.714  0.63
Groot 1988   62  0.5156  0.0029  0.0937  0.2320  0.3436  0.28
Harasiewicz 1955   14  0.666  0.0112  0.1411  0.5326  0.5017  0.51
Hatto 1993   42  0.5767  0.0036  0.1234  0.2836  0.2239  0.25
Hatto 1997   40  0.5748  0.0035  0.1133  0.2935  0.1841  0.23
Horowitz 1949   54  0.5349  0.0065  0.0456  0.0431  0.4253  0.13
Indjic 1988   41  0.5719  0.0134  0.0732  0.2937  0.2238  0.25
Kapell 1951   30  0.6157  0.0042  0.0640  0.2040  0.2043  0.20
Kissin 1993   6  0.7037  0.0013  0.1312  0.5312  0.619  0.57
Kushner 1989   12  0.664  0.026  0.1314  0.5222  0.5314  0.52
Luisada 1991   15  0.6623  0.0022  0.0925  0.389  0.5225  0.44
Lushtak 2004   57  0.5244  0.0060  0.0553  0.0550  0.0680  0.05
Malcuzynski 1961   44  0.5664  0.0062  0.0463  0.0430  0.2169  0.09
Magaloff 1978   75  0.4954  0.0070  0.0380  0.0346  0.0776  0.05
Magin 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Michalowski 1933   23  0.637  0.0131  0.1026  0.361  0.7316  0.51
Milkina 1970   22  0.6482  0.0030  0.1218  0.4632  0.4126  0.43
Mohovich 1999   39  0.5872  0.0045  0.0745  0.1333  0.3742  0.22
Moravec 1969   78  0.4718  0.0179  0.0288  0.0240  0.1873  0.06
Morozova 2008   9  0.6740  0.0018  0.106  0.565  0.607  0.58
Neighaus 1950   47  0.5573  0.0056  0.0551  0.0527  0.3162  0.12
Niedzielski 1931   46  0.5674  0.0057  0.0554  0.0528  0.2958  0.12
Ohlsson 1999   25  0.6229  0.0010  0.1416  0.499  0.5713  0.53
Osinska 1989   27  0.6261  0.0033  0.0929  0.3439  0.2137  0.27
Pachmann 1927   69  0.5036  0.0081  0.0373  0.035  0.5554  0.13
Paderewski 1930   84  0.4375  0.0085  0.0387  0.0343  0.1175  0.06
Perlemuter 1992   65  0.5128  0.0066  0.0547  0.0539  0.1768  0.09
Pierdomenico 2008   71  0.4955  0.0069  0.0377  0.0321  0.4065  0.11
Poblocka 1999   18  0.6512  0.0125  0.1122  0.4415  0.5123  0.47
Rabcewiczowa 1932   51  0.548  0.0127  0.0830  0.3115  0.4129  0.36
Rachmaninoff 1923   31  0.6120  0.017  0.1113  0.536  0.5610  0.54
Rangell 2001   76  0.4727  0.0067  0.0464  0.0427  0.3761  0.12
Richter 1976   35  0.5932  0.0048  0.0457  0.0425  0.4948  0.14
Rosen 1989   4  0.719  0.018  0.113  0.642  0.712  0.67
Rosenthal 1930   53  0.5424  0.0073  0.0381  0.0319  0.5159  0.12
Rosenthal 1931   55  0.5325  0.0072  0.0465  0.048  0.6346  0.16
Rosenthal 1931b   56  0.5314  0.0171  0.0384  0.038  0.6550  0.14
Rosenthal 1931c   63  0.5151  0.0077  0.0382  0.0317  0.5163  0.12
Rosenthal 1931d   66  0.5150  0.0078  0.0383  0.039  0.6349  0.14
Rossi 2007   87  0.4089  0.0086  0.0378  0.0355  0.0682  0.04
Rubinstein 1939   67  0.5065  0.0074  0.0385  0.0346  0.0683  0.04
Rubinstein 1952   70  0.495  0.0126  0.0842  0.1837  0.2344  0.20
Rubinstein 1966   58  0.5213  0.0161  0.0458  0.0453  0.0679  0.05
Schilhawsky 1960   21  0.6411  0.0116  0.1021  0.4517  0.5421  0.49
Shebanova 2002   19  0.6568  0.004  0.129  0.5419  0.4618  0.50
Smith 1975   7  0.692  0.0514  0.1123  0.433  0.6511  0.53
Sokolov 2002   43  0.5646  0.0039  0.0639  0.2213  0.4435  0.31
Sztompka 1959   11  0.6777  0.0017  0.118  0.5525  0.5112  0.53
Tomsic 1995   82  0.4458  0.0082  0.0467  0.0464  0.0584  0.04
Uninsky 1932   28  0.6270  0.0038  0.0636  0.2720  0.4732  0.36
Uninsky 1971   33  0.6178  0.0046  0.0646  0.0638  0.2066  0.11
Wasowski 1980   37  0.5983  0.0047  0.0550  0.0536  0.2464  0.11
Zak 1937   20  0.6542  0.0023  0.0920  0.4514  0.5222  0.48
Zak 1951   16  0.6641  0.0019  0.1017  0.4911  0.5615  0.52
Average   1  0.791  0.671  0.661  0.847  0.621  0.72
Random 1   91  -0.1287  0.0091  0.0191  0.0160  0.0390  0.02
Random 2   90  -0.0790  0.0090  0.0190  0.0151  0.0489  0.02
Random 3   89  -0.0791  0.0089  0.0189  0.0147  0.0591  0.02

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).