Magin 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   64  0.1763  0.0062  0.0474  0.0478  0.0376  0.03
Anderszewski 2003   66  0.1727  0.0064  0.0470  0.0461  0.0467  0.04
Ashkenazy 1981   2  0.584  0.124  0.254  0.8613  0.754  0.80
Bacha 2000   65  0.1772  0.0055  0.0565  0.0553  0.0658  0.05
Badura 1965   55  0.2143  0.0060  0.0476  0.0481  0.0377  0.03
Barbosa 1983   47  0.2868  0.0043  0.0844  0.1646  0.0744  0.11
Biret 1990   74  0.1230  0.0076  0.0659  0.0668  0.0462  0.05
Blet 2003   15  0.4620  0.0014  0.1519  0.6122  0.5419  0.57
Block 1995   36  0.3450  0.0040  0.0939  0.2663  0.0545  0.11
Blumental 1952   28  0.3732  0.0025  0.0832  0.4425  0.4126  0.42
Boshniakovich 1969   35  0.3423  0.0037  0.0941  0.2352  0.0643  0.12
Brailowsky 1960   87  -0.0373  0.0089  0.0286  0.0289  0.0281  0.02
Bunin 1987   48  0.2774  0.0041  0.1138  0.2642  0.1434  0.19
Bunin 1987b   50  0.2752  0.0042  0.1140  0.2442  0.1335  0.18
Chiu 1999   25  0.3875  0.0031  0.1026  0.5042  0.1930  0.31
Cohen 1997   73  0.1224  0.0079  0.0475  0.0490  0.0186  0.02
Cortot 1951   75  0.0948  0.0074  0.0560  0.0576  0.0373  0.04
Csalog 1996   40  0.3128  0.0050  0.1046  0.1047  0.0750  0.08
Czerny 1949   78  0.0526  0.0075  0.0566  0.0555  0.0560  0.05
Czerny 1990   31  0.3615  0.0119  0.1721  0.5925  0.6017  0.59
Duchoud 2007   38  0.3234  0.0036  0.1137  0.3042  0.1633  0.22
Ezaki 2006   77  0.0742  0.0078  0.0378  0.0384  0.0280  0.02
Falvay 1989   59  0.2076  0.0067  0.0567  0.0562  0.0464  0.04
Farrell 1958   80  0.0277  0.0077  0.0379  0.0386  0.0283  0.02
Ferenczy 1958   90  -0.1884  0.0090  0.0190  0.0187  0.0289  0.01
Fliere 1977   13  0.4947  0.0016  0.1511  0.7329  0.5115  0.61
Fou 1978   52  0.2429  0.0052  0.1045  0.1064  0.0453  0.06
Francois 1956   62  0.1938  0.0071  0.0947  0.0961  0.0457  0.06
Friedman 1923   30  0.3657  0.0030  0.1325  0.5040  0.3227  0.40
Friedman 1923b   32  0.3564  0.0029  0.0727  0.4841  0.3128  0.39
Friedman 1930   19  0.4458  0.0020  0.1917  0.6624  0.5516  0.60
Garcia 2007   71  0.1278  0.0066  0.0471  0.0475  0.0470  0.04
Garcia 2007b   24  0.3919  0.0028  0.0833  0.4226  0.4625  0.44
Gierzod 1998   72  0.1269  0.0057  0.0657  0.0655  0.0655  0.06
Gornostaeva 1994   60  0.1935  0.0059  0.0656  0.0674  0.0372  0.04
Groot 1988   1  0.602  0.133  0.205  0.846  0.716  0.77
Harasiewicz 1955   27  0.3785  0.0033  0.1135  0.3361  0.0541  0.13
Hatto 1993   4  0.5710  0.012  0.221  0.875  0.783  0.82
Hatto 1997   29  0.3639  0.0022  0.1020  0.6018  0.4421  0.51
Horowitz 1949   41  0.2949  0.0051  0.0849  0.0870  0.0454  0.06
Indjic 1988   3  0.581  0.311  0.312  0.874  0.811  0.84
Kapell 1951   37  0.3365  0.0026  0.0928  0.4838  0.1532  0.27
Kissin 1993   6  0.546  0.056  0.237  0.828  0.775  0.79
Kushner 1989   22  0.4066  0.0032  0.0934  0.3940  0.1931  0.27
Luisada 1991   14  0.4718  0.0015  0.1710  0.7614  0.6211  0.69
Lushtak 2004   63  0.1886  0.0070  0.0753  0.0763  0.0556  0.06
Malcuzynski 1961   12  0.4911  0.0110  0.2614  0.7010  0.5913  0.64
Magaloff 1978   34  0.3456  0.0023  0.1029  0.4639  0.2629  0.35
Magin 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Michalowski 1933   18  0.458  0.0321  0.1822  0.5622  0.4523  0.50
Milkina 1970   68  0.1653  0.0068  0.0564  0.0564  0.0466  0.04
Mohovich 1999   67  0.1679  0.0069  0.0561  0.0570  0.0471  0.04
Moravec 1969   51  0.2780  0.0047  0.0852  0.0863  0.0452  0.06
Morozova 2008   49  0.2745  0.0048  0.0850  0.0850  0.0651  0.07
Neighaus 1950   44  0.2955  0.0039  0.0942  0.1858  0.0549  0.09
Niedzielski 1931   10  0.5012  0.019  0.236  0.824  0.707  0.76
Ohlsson 1999   11  0.4916  0.0111  0.1713  0.7215  0.5614  0.63
Osinska 1989   58  0.2046  0.0058  0.0754  0.0773  0.0359  0.05
Pachmann 1927   23  0.3944  0.0027  0.1024  0.5134  0.4224  0.46
Paderewski 1930   9  0.5113  0.0112  0.199  0.789  0.708  0.74
Perlemuter 1992   20  0.4336  0.0024  0.0923  0.5428  0.5120  0.52
Pierdomenico 2008   43  0.2981  0.0045  0.0851  0.0842  0.1347  0.10
Poblocka 1999   56  0.2170  0.0065  0.0472  0.0467  0.0563  0.04
Rabcewiczowa 1932   81  0.0287  0.0085  0.0282  0.0287  0.0282  0.02
Rachmaninoff 1923   61  0.1982  0.0061  0.0477  0.0472  0.0374  0.03
Rangell 2001   84  0.0067  0.0084  0.0285  0.0288  0.0287  0.02
Richter 1976   5  0.565  0.075  0.253  0.8612  0.792  0.82
Rosen 1989   70  0.1359  0.0072  0.0469  0.0484  0.0378  0.03
Rosenthal 1930   82  0.0188  0.0088  0.0288  0.0288  0.0285  0.02
Rosenthal 1931   86  -0.0389  0.0081  0.0289  0.0281  0.0284  0.02
Rosenthal 1931b   88  -0.0590  0.0087  0.0284  0.0289  0.0288  0.02
Rosenthal 1931c   76  0.0983  0.0073  0.0468  0.0481  0.0279  0.03
Rosenthal 1931d   89  -0.0751  0.0086  0.0280  0.0289  0.0190  0.01
Rossi 2007   69  0.1425  0.0056  0.0562  0.0521  0.3340  0.13
Rubinstein 1939   53  0.2360  0.0053  0.0563  0.0568  0.0465  0.04
Rubinstein 1952   8  0.513  0.127  0.1912  0.722  0.6910  0.70
Rubinstein 1966   54  0.2261  0.0054  0.0658  0.0678  0.0368  0.04
Schilhawsky 1960   57  0.2062  0.0063  0.0473  0.0461  0.0569  0.04
Shebanova 2002   7  0.527  0.048  0.198  0.8023  0.619  0.70
Smith 1975   45  0.2821  0.0049  0.0755  0.0743  0.1346  0.10
Sokolov 2002   17  0.4514  0.0118  0.1418  0.636  0.6512  0.64
Sztompka 1959   26  0.3722  0.0035  0.1130  0.4550  0.0737  0.18
Tomsic 1995   39  0.3131  0.0038  0.0936  0.3142  0.1036  0.18
Uninsky 1932   21  0.4137  0.0017  0.1715  0.6929  0.3822  0.51
Uninsky 1971   33  0.3517  0.0034  0.1231  0.4453  0.0738  0.18
Wasowski 1980   16  0.469  0.0213  0.1616  0.6627  0.5118  0.58
Zak 1937   46  0.2871  0.0044  0.0843  0.1640  0.1639  0.16
Zak 1951   42  0.2933  0.0046  0.0948  0.0938  0.1742  0.12
Random 1   83  0.0054  0.0080  0.0281  0.0243  0.1261  0.05
Random 2   85  -0.0240  0.0083  0.0287  0.0267  0.0475  0.03
Random 3   79  0.0541  0.0082  0.0283  0.0217  0.4048  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).