Magin 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   36  0.4628  0.0062  0.0553  0.0527  0.3151  0.12
Anderszewski 2003   38  0.4668  0.0034  0.0635  0.2063  0.0555  0.10
Ashkenazy 1981   60  0.4258  0.0070  0.0473  0.0431  0.2557  0.10
Bacha 2000   84  0.2788  0.0086  0.0381  0.0364  0.0385  0.03
Badura 1965   65  0.4083  0.0058  0.0476  0.0447  0.0775  0.05
Barbosa 1983   19  0.5326  0.0114  0.0713  0.5730  0.3319  0.43
Biret 1990   30  0.488  0.0322  0.1021  0.4731  0.3522  0.41
Blet 2003   48  0.4536  0.0061  0.0461  0.0419  0.2756  0.10
Block 1995   80  0.3441  0.0066  0.0384  0.0353  0.0582  0.04
Blumental 1952   40  0.4684  0.0050  0.0550  0.0555  0.0676  0.05
Boshniakovich 1969   12  0.5624  0.0113  0.097  0.6115  0.4313  0.51
Brailowsky 1960   41  0.4614  0.0126  0.0836  0.1936  0.2933  0.23
Bunin 1987   53  0.4385  0.0055  0.0464  0.0440  0.1165  0.07
Bunin 1987b   61  0.4134  0.0060  0.0469  0.0446  0.0772  0.05
Chiu 1999   68  0.4037  0.0054  0.0458  0.0431  0.2259  0.09
Cohen 1997   74  0.3761  0.0076  0.0554  0.0540  0.0964  0.07
Cortot 1951   87  0.2175  0.0087  0.0475  0.0468  0.0388  0.03
Csalog 1996   17  0.542  0.135  0.1414  0.5410  0.5411  0.54
Czerny 1949   22  0.5151  0.0027  0.0724  0.4033  0.4321  0.41
Czerny 1990   29  0.4980  0.0029  0.0926  0.3545  0.1039  0.19
Duchoud 2007   81  0.3257  0.0075  0.0379  0.0333  0.3953  0.11
Ezaki 2006   15  0.5520  0.0118  0.1017  0.5328  0.3023  0.40
Falvay 1989   3  0.596  0.064  0.154  0.6620  0.574  0.61
Farrell 1958   52  0.4450  0.0044  0.0741  0.1335  0.2938  0.19
Ferenczy 1958   72  0.3774  0.0080  0.0457  0.0458  0.0674  0.05
Fliere 1977   5  0.5811  0.0210  0.1215  0.5329  0.3916  0.45
Fou 1978   20  0.5222  0.0128  0.0731  0.3037  0.1834  0.23
Francois 1956   51  0.449  0.0243  0.0642  0.1312  0.4632  0.24
Friedman 1923   83  0.3163  0.0081  0.0474  0.0456  0.0584  0.04
Friedman 1923b   82  0.3130  0.0082  0.0470  0.0469  0.0483  0.04
Friedman 1930   58  0.4218  0.0139  0.0640  0.156  0.5930  0.30
Garcia 2007   57  0.4281  0.0048  0.0846  0.0814  0.5137  0.20
Garcia 2007b   21  0.515  0.079  0.1211  0.583  0.682  0.63
Gierzod 1998   1  0.611  0.171  0.171  0.7216  0.525  0.61
Gornostaeva 1994   7  0.5710  0.0211  0.1210  0.596  0.606  0.59
Groot 1988   31  0.4821  0.0120  0.0825  0.3814  0.3927  0.38
Harasiewicz 1955   14  0.5515  0.0112  0.1018  0.5135  0.3818  0.44
Hatto 1993   46  0.4577  0.0047  0.0748  0.0749  0.0571  0.06
Hatto 1997   39  0.4669  0.0036  0.0633  0.2456  0.0552  0.11
Horowitz 1949   78  0.3545  0.0079  0.0377  0.0333  0.1960  0.08
Indjic 1988   49  0.4476  0.0045  0.0945  0.0949  0.0563  0.07
Kapell 1951   25  0.4954  0.0035  0.0734  0.2237  0.2535  0.23
Kissin 1993   26  0.4931  0.0031  0.1128  0.3435  0.3629  0.35
Kushner 1989   2  0.603  0.132  0.182  0.6716  0.518  0.58
Luisada 1991   27  0.4955  0.0053  0.0552  0.0529  0.3050  0.12
Lushtak 2004   24  0.5038  0.0024  0.1319  0.4929  0.3917  0.44
Malcuzynski 1961   50  0.4489  0.0051  0.0551  0.0545  0.0962  0.07
Magaloff 1978   42  0.4664  0.0056  0.0556  0.0549  0.0768  0.06
Magin 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Michalowski 1933   73  0.3712  0.0177  0.0462  0.043  0.6243  0.16
Milkina 1970   11  0.5640  0.0015  0.079  0.6028  0.4014  0.49
Mohovich 1999   18  0.5365  0.0021  0.0923  0.4028  0.3824  0.39
Moravec 1969   33  0.4742  0.0038  0.0837  0.1839  0.1741  0.17
Morozova 2008   34  0.4749  0.0032  0.1027  0.3521  0.4126  0.38
Neighaus 1950   79  0.3448  0.0083  0.0468  0.0441  0.1166  0.07
Niedzielski 1931   86  0.2678  0.0084  0.0378  0.0353  0.0679  0.04
Ohlsson 1999   70  0.3966  0.0072  0.0467  0.0455  0.0580  0.04
Osinska 1989   6  0.5835  0.008  0.173  0.6734  0.4310  0.54
Pachmann 1927   59  0.4223  0.0152  0.0555  0.054  0.6440  0.18
Paderewski 1930   85  0.2786  0.0085  0.0287  0.0244  0.1273  0.05
Perlemuter 1992   45  0.4527  0.0042  0.0639  0.1511  0.4531  0.26
Pierdomenico 2008   77  0.3652  0.0078  0.0460  0.0448  0.0578  0.04
Poblocka 1999   32  0.4825  0.0133  0.0632  0.2756  0.0744  0.14
Rabcewiczowa 1932   43  0.4619  0.0123  0.1222  0.4415  0.4120  0.42
Rachmaninoff 1923   76  0.3770  0.0068  0.0382  0.0371  0.0486  0.03
Rangell 2001   64  0.4013  0.0141  0.0644  0.1037  0.2146  0.14
Richter 1976   23  0.5029  0.0025  0.0829  0.3423  0.4225  0.38
Rosen 1989   13  0.5517  0.0119  0.0820  0.4712  0.5512  0.51
Rosenthal 1930   56  0.4343  0.0065  0.0471  0.0434  0.2954  0.11
Rosenthal 1931   55  0.4346  0.0059  0.0465  0.0417  0.4549  0.13
Rosenthal 1931b   54  0.4339  0.0057  0.0472  0.0413  0.5047  0.14
Rosenthal 1931c   66  0.4053  0.0064  0.0459  0.0459  0.0677  0.05
Rosenthal 1931d   63  0.4067  0.0067  0.0383  0.0324  0.3658  0.10
Rossi 2007   71  0.3887  0.0074  0.0386  0.0336  0.1561  0.07
Rubinstein 1939   35  0.4779  0.0049  0.0649  0.0634  0.2748  0.13
Rubinstein 1952   4  0.584  0.093  0.196  0.6415  0.547  0.59
Rubinstein 1966   9  0.5632  0.0016  0.0812  0.5833  0.4115  0.49
Schilhawsky 1960   28  0.4971  0.0030  0.0730  0.3125  0.4328  0.37
Shebanova 2002   44  0.4572  0.0046  0.0847  0.0834  0.2545  0.14
Smith 1975   8  0.577  0.046  0.135  0.642  0.711  0.67
Sokolov 2002   69  0.4060  0.0063  0.0466  0.0445  0.0867  0.06
Sztompka 1959   62  0.4162  0.0069  0.0380  0.0374  0.0487  0.03
Tomsic 1995   47  0.4544  0.0037  0.0638  0.1625  0.3136  0.22
Uninsky 1932   75  0.3756  0.0071  0.0385  0.0342  0.1169  0.06
Uninsky 1971   67  0.4073  0.0073  0.0463  0.0471  0.0481  0.04
Wasowski 1980   37  0.4647  0.0040  0.0643  0.1238  0.2142  0.16
Zak 1937   16  0.5433  0.0017  0.0916  0.5311  0.599  0.56
Zak 1951   10  0.5616  0.017  0.128  0.619  0.643  0.62
Random 1   89  -0.0290  0.0088  0.0288  0.0234  0.1970  0.06
Random 2   88  -0.0282  0.0090  0.0190  0.0182  0.0290  0.01
Random 3   90  -0.1159  0.0089  0.0189  0.0171  0.0389  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).