Magin 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   65  0.1764  0.0063  0.0475  0.0479  0.0377  0.03
Anderszewski 2003   67  0.1727  0.0065  0.0471  0.0462  0.0468  0.04
Ashkenazy 1981   2  0.584  0.124  0.254  0.8614  0.754  0.80
Bacha 2000   66  0.1773  0.0056  0.0566  0.0554  0.0659  0.05
Badura 1965   56  0.2143  0.0061  0.0477  0.0482  0.0378  0.03
Barbosa 1983   48  0.2869  0.0044  0.0845  0.1647  0.0745  0.11
Biret 1990   75  0.1230  0.0077  0.0660  0.0669  0.0463  0.05
Blet 2003   16  0.4620  0.0015  0.1520  0.6123  0.5419  0.57
Block 1995   37  0.3450  0.0041  0.0940  0.2664  0.0546  0.11
Blumental 1952   29  0.3732  0.0026  0.0833  0.4426  0.4126  0.42
Boshniakovich 1969   36  0.3423  0.0038  0.0942  0.2353  0.0644  0.12
Brailowsky 1960   88  -0.0374  0.0090  0.0287  0.0290  0.0282  0.02
Bunin 1987   49  0.2775  0.0042  0.1139  0.2643  0.1435  0.19
Bunin 1987b   51  0.2752  0.0043  0.1141  0.2443  0.1336  0.18
Chiu 1999   26  0.3876  0.0032  0.0927  0.5043  0.1930  0.31
Cohen 1997   74  0.1224  0.0080  0.0476  0.0491  0.0187  0.02
Cortot 1951   76  0.0948  0.0075  0.0561  0.0577  0.0374  0.04
Csalog 1996   41  0.3128  0.0051  0.1047  0.1048  0.0751  0.08
Czerny 1949   79  0.0526  0.0076  0.0567  0.0556  0.0561  0.05
Czerny 1990   32  0.3615  0.0120  0.1722  0.5926  0.6017  0.59
Duchoud 2007   39  0.3234  0.0037  0.1138  0.3043  0.1634  0.22
Ezaki 2006   78  0.0742  0.0079  0.0379  0.0385  0.0281  0.02
Falvay 1989   60  0.2084  0.0068  0.0568  0.0563  0.0465  0.04
Farrell 1958   81  0.0277  0.0078  0.0380  0.0387  0.0284  0.02
Ferenczy 1958   91  -0.1885  0.0091  0.0191  0.0188  0.0289  0.01
Fliere 1977   14  0.4947  0.0017  0.1512  0.7330  0.5115  0.61
Fou 1978   53  0.2429  0.0053  0.1046  0.1065  0.0454  0.06
Francois 1956   63  0.1937  0.0072  0.0948  0.0962  0.0458  0.06
Friedman 1923   31  0.3658  0.0031  0.1326  0.5041  0.3227  0.40
Friedman 1923b   33  0.3565  0.0030  0.0728  0.4842  0.3128  0.39
Friedman 1930   20  0.4459  0.0021  0.1918  0.6625  0.5516  0.60
Garcia 2007   72  0.1278  0.0067  0.0472  0.0476  0.0471  0.04
Garcia 2007b   25  0.3919  0.0029  0.0834  0.4227  0.4625  0.44
Gierzod 1998   73  0.1270  0.0058  0.0658  0.0656  0.0656  0.06
Gornostaeva 1994   61  0.1935  0.0060  0.0657  0.0675  0.0373  0.04
Groot 1988   1  0.602  0.133  0.205  0.847  0.716  0.77
Harasiewicz 1955   28  0.3786  0.0034  0.1136  0.3362  0.0542  0.13
Hatto 1993   4  0.5710  0.012  0.221  0.876  0.783  0.82
Hatto 1997   30  0.3638  0.0023  0.1021  0.6019  0.4421  0.51
Horowitz 1949   42  0.2949  0.0052  0.0850  0.0871  0.0455  0.06
Indjic 1988   3  0.581  0.311  0.312  0.875  0.811  0.84
Kapell 1951   38  0.3366  0.0027  0.0929  0.4839  0.1532  0.27
Kissin 1993   6  0.546  0.056  0.227  0.829  0.775  0.79
Kushner 1989   23  0.4067  0.0033  0.0935  0.3941  0.1931  0.27
Luisada 1991   15  0.4718  0.0016  0.1711  0.7615  0.6211  0.69
Lushtak 2004   64  0.1887  0.0071  0.0754  0.0764  0.0557  0.06
Malcuzynski 1961   13  0.4911  0.0110  0.2315  0.7011  0.5913  0.64
Magaloff 1978   35  0.3457  0.0024  0.0930  0.4640  0.2629  0.35
Magin 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Michalowski 1933   19  0.458  0.0322  0.1723  0.5623  0.4523  0.50
Milkina 1970   69  0.1653  0.0069  0.0565  0.0565  0.0467  0.04
Mohovich 1999   68  0.1679  0.0070  0.0562  0.0571  0.0472  0.04
Moravec 1969   52  0.2780  0.0048  0.0853  0.0864  0.0453  0.06
Morozova 2008   50  0.2745  0.0049  0.0851  0.0851  0.0652  0.07
Neighaus 1950   45  0.2956  0.0040  0.0943  0.1859  0.0550  0.09
Niedzielski 1931   11  0.5012  0.018  0.186  0.825  0.707  0.76
Ohlsson 1999   12  0.4916  0.0112  0.1714  0.7216  0.5614  0.63
Osinska 1989   59  0.2046  0.0059  0.0755  0.0774  0.0360  0.05
Pachmann 1927   24  0.3944  0.0028  0.1025  0.5135  0.4224  0.46
Paderewski 1930   10  0.5113  0.0113  0.1910  0.7810  0.708  0.74
Perlemuter 1992   21  0.4336  0.0025  0.0924  0.5429  0.5120  0.52
Pierdomenico 2008   44  0.2981  0.0046  0.0852  0.0843  0.1348  0.10
Poblocka 1999   57  0.2171  0.0066  0.0473  0.0468  0.0564  0.04
Rabcewiczowa 1932   82  0.0288  0.0086  0.0283  0.0288  0.0283  0.02
Rachmaninoff 1923   62  0.1982  0.0062  0.0478  0.0473  0.0375  0.03
Rangell 2001   85  0.0068  0.0085  0.0286  0.0289  0.0288  0.02
Richter 1976   5  0.565  0.075  0.253  0.8613  0.792  0.82
Rosen 1989   71  0.1360  0.0073  0.0470  0.0485  0.0379  0.03
Rosenthal 1930   83  0.0189  0.0089  0.0289  0.0289  0.0286  0.02
Rosenthal 1931   87  -0.0390  0.0082  0.0290  0.0282  0.0285  0.02
Rosenthal 1931b   89  -0.0591  0.0088  0.0285  0.0290  0.0191  0.01
Rosenthal 1931c   77  0.0983  0.0074  0.0469  0.0482  0.0280  0.03
Rosenthal 1931d   90  -0.0751  0.0087  0.0281  0.0290  0.0190  0.01
Rossi 2007   70  0.1425  0.0057  0.0563  0.0521  0.3341  0.13
Rubinstein 1939   54  0.2361  0.0054  0.0564  0.0569  0.0466  0.04
Rubinstein 1952   9  0.513  0.127  0.1913  0.723  0.6910  0.70
Rubinstein 1966   55  0.2262  0.0055  0.0659  0.0679  0.0369  0.04
Schilhawsky 1960   58  0.2063  0.0064  0.0474  0.0462  0.0570  0.04
Shebanova 2002   8  0.527  0.049  0.218  0.8024  0.619  0.70
Smith 1975   46  0.2821  0.0050  0.0756  0.0744  0.1347  0.10
Sokolov 2002   18  0.4514  0.0119  0.1419  0.637  0.6512  0.64
Sztompka 1959   27  0.3722  0.0036  0.1131  0.4551  0.0738  0.18
Tomsic 1995   40  0.3131  0.0039  0.0937  0.3143  0.1037  0.18
Uninsky 1932   22  0.4139  0.0018  0.1716  0.6930  0.3822  0.51
Uninsky 1971   34  0.3517  0.0035  0.1232  0.4454  0.0640  0.16
Wasowski 1980   17  0.469  0.0214  0.1617  0.6628  0.5118  0.58
Zak 1937   47  0.2872  0.0045  0.0844  0.1641  0.1639  0.16
Zak 1951   43  0.2933  0.0047  0.0949  0.0939  0.1743  0.12
Average   7  0.5254  0.0011  0.159  0.7849  0.0733  0.23
Random 1   84  0.0055  0.0081  0.0282  0.0243  0.1262  0.05
Random 2   86  -0.0240  0.0084  0.0288  0.0268  0.0476  0.03
Random 3   80  0.0541  0.0083  0.0284  0.0217  0.4049  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).