Afanassiev 2001

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Anderszewski 2003   74  0.3465  0.0060  0.0461  0.0456  0.0380  0.03
Ashkenazy 1981   60  0.4367  0.0055  0.0554  0.0564  0.0470  0.04
Bacha 2000   56  0.4624  0.0169  0.0372  0.0345  0.0763  0.05
Badura 1965   33  0.5529  0.0018  0.1016  0.411  0.645  0.51
Barbosa 1983   17  0.6038  0.0014  0.0914  0.438  0.5411  0.48
Biret 1990   32  0.5545  0.0047  0.0558  0.0530  0.2444  0.11
Blet 2003   9  0.6421  0.0117  0.1017  0.396  0.4617  0.42
Block 1995   66  0.4187  0.0084  0.0463  0.0469  0.0383  0.03
Blumental 1952   71  0.3563  0.0054  0.0649  0.0632  0.2043  0.11
Boshniakovich 1969   57  0.4572  0.0068  0.0380  0.0387  0.0289  0.02
Brailowsky 1960   51  0.4812  0.0164  0.0369  0.0363  0.0471  0.03
Bunin 1987   38  0.5350  0.0052  0.1141  0.1140  0.1440  0.12
Bunin 1987b   37  0.5430  0.0051  0.0648  0.0640  0.1448  0.09
Chiu 1999   52  0.4722  0.0148  0.0553  0.0534  0.2442  0.11
Cohen 1997   82  0.2336  0.0077  0.0375  0.0375  0.0384  0.03
Cortot 1951   55  0.4680  0.0058  0.0550  0.0542  0.1157  0.07
Csalog 1996   49  0.5048  0.0063  0.0460  0.0438  0.2149  0.09
Czerny 1949   6  0.6617  0.013  0.162  0.586  0.672  0.62
Czerny 1990   8  0.6559  0.005  0.106  0.5112  0.508  0.50
Duchoud 2007   31  0.5570  0.0032  0.0631  0.1733  0.2634  0.21
Ezaki 2006   1  0.751  0.531  0.531  0.752  0.681  0.71
Falvay 1989   10  0.649  0.0219  0.1320  0.3711  0.4119  0.39
Farrell 1958   53  0.4726  0.0065  0.0370  0.0345  0.0566  0.04
Ferenczy 1958   35  0.5418  0.0140  0.0445  0.0816  0.4136  0.18
Fliere 1977   23  0.5868  0.0043  0.0538  0.1261  0.0551  0.08
Fou 1978   34  0.5528  0.0025  0.0625  0.2036  0.2230  0.21
Francois 1956   2  0.6720  0.014  0.144  0.549  0.534  0.53
Friedman 1923   85  0.2042  0.0081  0.0283  0.0231  0.2162  0.06
Friedman 1923b   84  0.2041  0.0080  0.0287  0.0231  0.2061  0.06
Friedman 1930   83  0.2388  0.0079  0.0285  0.0273  0.0387  0.02
Garcia 2007   86  0.1971  0.0076  0.0284  0.0263  0.0482  0.03
Garcia 2007b   87  0.1343  0.0086  0.0374  0.0355  0.0486  0.03
Gierzod 1998   36  0.5425  0.0022  0.0922  0.2920  0.2822  0.28
Gornostaeva 1994   11  0.646  0.037  0.1215  0.4318  0.4018  0.41
Groot 1988   4  0.672  0.0612  0.117  0.5017  0.4114  0.45
Harasiewicz 1955   58  0.4560  0.0037  0.0533  0.1654  0.0453  0.08
Hatto 1993   79  0.2547  0.0036  0.0542  0.1044  0.0950  0.09
Hatto 1997   69  0.374  0.0323  0.1123  0.2533  0.2029  0.22
Horowitz 1949   68  0.3989  0.0066  0.0373  0.0354  0.0567  0.04
Indjic 1988   77  0.2755  0.0039  0.0544  0.0951  0.0556  0.07
Kapell 1951   29  0.5640  0.0049  0.0551  0.0537  0.2245  0.10
Kissin 1993   28  0.5677  0.0042  0.0539  0.1242  0.1838  0.15
Kushner 1989   22  0.5983  0.0033  0.0529  0.1729  0.2531  0.21
Luisada 1991   54  0.4751  0.0038  0.0636  0.1351  0.0647  0.09
Lushtak 2004   46  0.5084  0.0045  0.0459  0.0453  0.0569  0.04
Malcuzynski 1961   3  0.6713  0.019  0.1010  0.4716  0.4016  0.43
Magaloff 1978   48  0.5037  0.0056  0.0555  0.0587  0.0272  0.03
Magin 1975   73  0.3478  0.0083  0.0377  0.0361  0.0476  0.03
Michalowski 1933   81  0.2453  0.0070  0.0281  0.0257  0.0579  0.03
Milkina 1970   20  0.5958  0.0027  0.0626  0.1931  0.2432  0.21
Mohovich 1999   7  0.655  0.0311  0.123  0.5611  0.543  0.55
Moravec 1969   21  0.5927  0.0035  0.0534  0.1621  0.3227  0.23
Morozova 2008   18  0.603  0.052  0.159  0.475  0.4812  0.47
Neighaus 1950   15  0.6116  0.018  0.1211  0.4721  0.4215  0.44
Niedzielski 1931   70  0.3785  0.0073  0.0466  0.0479  0.0375  0.03
Ohlsson 1999   30  0.5675  0.0044  0.0543  0.1053  0.0555  0.07
Osinska 1989   27  0.5749  0.0041  0.0440  0.1129  0.2137  0.15
Pachmann 1927   64  0.4319  0.0162  0.0465  0.0432  0.2446  0.10
Paderewski 1930   65  0.4276  0.0067  0.0462  0.0474  0.0378  0.03
Perlemuter 1992   40  0.5362  0.0046  0.0557  0.0545  0.0858  0.06
Pierdomenico 2008   67  0.4064  0.0074  0.0368  0.0360  0.0473  0.03
Poblocka 1999   14  0.6214  0.0116  0.0921  0.3022  0.3021  0.30
Rabcewiczowa 1932   26  0.5731  0.0020  0.0818  0.388  0.629  0.49
Rachmaninoff 1923   42  0.5234  0.0031  0.0628  0.1826  0.2828  0.22
Rangell 2001   45  0.5215  0.0150  0.0646  0.0623  0.2939  0.13
Richter 1976   61  0.4390  0.0072  0.0371  0.0363  0.0477  0.03
Rosen 1989   24  0.5810  0.026  0.0813  0.4512  0.4713  0.46
Rosenthal 1930   50  0.4911  0.0126  0.0632  0.1618  0.5023  0.28
Rosenthal 1931   72  0.3556  0.0075  0.0367  0.0332  0.2152  0.08
Rosenthal 1931b   76  0.3066  0.0078  0.0282  0.0244  0.1164  0.05
Rosenthal 1931c   63  0.4369  0.0057  0.0552  0.0529  0.2841  0.12
Rosenthal 1931d   75  0.3335  0.0082  0.0379  0.0353  0.0485  0.03
Rossi 2007   80  0.2581  0.0085  0.0286  0.0235  0.1659  0.06
Rubinstein 1939   78  0.2532  0.0087  0.0378  0.0370  0.0374  0.03
Rubinstein 1952   47  0.5033  0.0059  0.0556  0.0541  0.1354  0.08
Rubinstein 1966   25  0.5844  0.0029  0.0530  0.1719  0.4124  0.26
Schilhawsky 1960   59  0.4486  0.0061  0.0464  0.0454  0.0568  0.04
Shebanova 2002   43  0.5279  0.0053  0.0647  0.0657  0.0660  0.06
Smith 1975   19  0.6073  0.0021  0.0919  0.3731  0.2620  0.31
Sokolov 2002   16  0.6152  0.0030  0.0524  0.2132  0.2826  0.24
Sztompka 1959   13  0.6239  0.0015  0.0912  0.467  0.5010  0.48
Tomsic 1995   5  0.6657  0.0010  0.115  0.529  0.496  0.50
Uninsky 1932   41  0.5323  0.0134  0.0535  0.1419  0.3233  0.21
Uninsky 1971   12  0.637  0.0213  0.148  0.509  0.517  0.50
Wasowski 1980   62  0.4354  0.0071  0.0376  0.0356  0.0565  0.04
Zak 1937   44  0.5246  0.0028  0.0537  0.1329  0.2935  0.19
Zak 1951   39  0.538  0.0224  0.0827  0.1924  0.3325  0.25
Random 1   90  -0.0661  0.0090  0.0190  0.0179  0.0388  0.02
Random 2   88  -0.0274  0.0088  0.0288  0.0249  0.0581  0.03
Random 3   89  -0.0282  0.0089  0.0189  0.0150  0.0490  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).