Biret 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   15  0.7024  0.0130  0.0626  0.2527  0.2428  0.24
Anderszewski 2003   49  0.5949  0.0036  0.0540  0.1421  0.3232  0.21
Ashkenazy 1981   21  0.6839  0.0010  0.087  0.4513  0.399  0.42
Bacha 2000   19  0.6919  0.0126  0.0830  0.192  0.5616  0.33
Badura 1965   79  0.4158  0.0067  0.0377  0.0368  0.0480  0.03
Barbosa 1983   53  0.5762  0.0013  0.0815  0.318  0.4412  0.37
Biret 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Blet 2003   26  0.6657  0.0045  0.0547  0.0542  0.1153  0.07
Block 1995   69  0.4887  0.0083  0.0280  0.0271  0.0388  0.02
Blumental 1952   78  0.4253  0.0053  0.0455  0.0424  0.2148  0.09
Boshniakovich 1969   54  0.5774  0.0079  0.0370  0.0373  0.0381  0.03
Brailowsky 1960   29  0.6420  0.0149  0.0452  0.0443  0.1057  0.06
Bunin 1987   45  0.6166  0.0052  0.0548  0.0563  0.0470  0.04
Bunin 1987b   44  0.6175  0.0051  0.0453  0.0459  0.0463  0.04
Chiu 1999   52  0.585  0.047  0.095  0.477  0.535  0.50
Cohen 1997   77  0.4237  0.0061  0.0460  0.0411  0.4345  0.13
Cortot 1951   30  0.6465  0.0043  0.0643  0.1224  0.3140  0.19
Csalog 1996   37  0.6270  0.0046  0.0745  0.0714  0.4641  0.18
Czerny 1949   27  0.6633  0.0038  0.0532  0.1932  0.2435  0.21
Czerny 1990   16  0.7026  0.0139  0.0534  0.1847  0.0549  0.09
Duchoud 2007   2  0.7910  0.022  0.202  0.592  0.523  0.55
Ezaki 2006   13  0.7118  0.0123  0.1114  0.3342  0.0942  0.17
Falvay 1989   40  0.626  0.0416  0.0719  0.3030  0.1927  0.24
Farrell 1958   4  0.7717  0.0118  0.0620  0.283  0.5011  0.37
Ferenczy 1958   41  0.6263  0.0035  0.0642  0.1221  0.3834  0.21
Fliere 1977   6  0.7684  0.0020  0.0718  0.3039  0.1336  0.20
Fou 1978   63  0.5342  0.0048  0.0546  0.0548  0.0658  0.05
Francois 1956   34  0.6315  0.0137  0.0539  0.1537  0.1344  0.14
Friedman 1923   87  0.1677  0.0087  0.0287  0.0276  0.0487  0.03
Friedman 1923b   86  0.1778  0.0086  0.0279  0.0276  0.0482  0.03
Friedman 1930   84  0.3168  0.0068  0.0373  0.0347  0.0566  0.04
Garcia 2007   66  0.5131  0.0066  0.0457  0.0424  0.2946  0.11
Garcia 2007b   83  0.3525  0.0176  0.0281  0.0211  0.2756  0.07
Gierzod 1998   12  0.7221  0.0115  0.0713  0.3412  0.3317  0.33
Gornostaeva 1994   14  0.717  0.0444  0.0644  0.1133  0.1943  0.14
Groot 1988   46  0.6171  0.0070  0.0376  0.0386  0.0290  0.02
Harasiewicz 1955   82  0.3764  0.0055  0.0456  0.0469  0.0384  0.03
Hatto 1993   65  0.5185  0.0012  0.0827  0.248  0.4518  0.33
Hatto 1997   47  0.603  0.055  0.1211  0.358  0.4710  0.41
Horowitz 1949   61  0.5379  0.0071  0.0284  0.0258  0.0475  0.03
Indjic 1988   60  0.5459  0.009  0.0823  0.268  0.4614  0.35
Kapell 1951   7  0.7572  0.0014  0.079  0.4320  0.428  0.42
Kissin 1993   58  0.5546  0.0058  0.0454  0.0451  0.0565  0.04
Kushner 1989   8  0.7354  0.0041  0.0735  0.1635  0.2239  0.19
Luisada 1991   17  0.702  0.086  0.0810  0.394  0.467  0.42
Lushtak 2004   33  0.634  0.044  0.126  0.4616  0.406  0.43
Malcuzynski 1961   18  0.7043  0.0054  0.0550  0.0550  0.0559  0.05
Magaloff 1978   31  0.6436  0.0047  0.0549  0.0569  0.0361  0.04
Magin 1975   71  0.4760  0.0072  0.0372  0.0358  0.0473  0.03
Michalowski 1933   76  0.4361  0.0033  0.0537  0.1622  0.3926  0.25
Milkina 1970   25  0.679  0.0317  0.0631  0.1925  0.2630  0.22
Mohovich 1999   28  0.6580  0.0059  0.0451  0.0448  0.0469  0.04
Moravec 1969   36  0.6369  0.0031  0.0536  0.1616  0.3925  0.25
Morozova 2008   51  0.5882  0.0028  0.0625  0.2522  0.1833  0.21
Neighaus 1950   11  0.7250  0.0019  0.0612  0.3428  0.3119  0.32
Niedzielski 1931   56  0.5627  0.0174  0.0368  0.0328  0.2151  0.08
Ohlsson 1999   1  0.831  0.331  0.331  0.602  0.621  0.61
Osinska 1989   5  0.7623  0.018  0.103  0.521  0.592  0.55
Pachmann 1927   73  0.4445  0.0069  0.0283  0.0263  0.0477  0.03
Paderewski 1930   59  0.5514  0.0165  0.0463  0.0451  0.0464  0.04
Perlemuter 1992   75  0.4476  0.0073  0.0371  0.0372  0.0371  0.03
Pierdomenico 2008   32  0.6340  0.0042  0.0641  0.1316  0.3237  0.20
Poblocka 1999   3  0.7816  0.013  0.124  0.495  0.534  0.51
Rabcewiczowa 1932   23  0.6812  0.0221  0.0817  0.3012  0.4413  0.36
Rachmaninoff 1923   64  0.5235  0.0056  0.0459  0.0461  0.0462  0.04
Rangell 2001   24  0.6722  0.0150  0.0458  0.0441  0.1255  0.07
Richter 1976   72  0.4551  0.0075  0.0365  0.0358  0.0476  0.03
Rosen 1989   9  0.7328  0.0140  0.0633  0.1813  0.4622  0.29
Rosenthal 1930   57  0.5667  0.0078  0.0369  0.0351  0.0479  0.03
Rosenthal 1931   81  0.3973  0.0084  0.0286  0.0261  0.0478  0.03
Rosenthal 1931b   80  0.4183  0.0082  0.0285  0.0262  0.0485  0.03
Rosenthal 1931c   68  0.5086  0.0080  0.0374  0.0364  0.0386  0.03
Rosenthal 1931d   70  0.4747  0.0081  0.0282  0.0249  0.0583  0.03
Rossi 2007   85  0.2255  0.0085  0.0375  0.0370  0.0372  0.03
Rubinstein 1939   74  0.4452  0.0077  0.0378  0.0324  0.3647  0.10
Rubinstein 1952   62  0.5332  0.0062  0.0461  0.0432  0.2050  0.09
Rubinstein 1966   39  0.6281  0.0063  0.0366  0.0339  0.1554  0.07
Schilhawsky 1960   50  0.5988  0.0022  0.0816  0.3124  0.2920  0.30
Shebanova 2002   20  0.6929  0.0129  0.0721  0.2721  0.4215  0.34
Smith 1975   22  0.6813  0.0211  0.098  0.4330  0.2021  0.29
Sokolov 2002   10  0.7234  0.0032  0.0528  0.2234  0.2529  0.23
Sztompka 1959   48  0.6044  0.0060  0.0462  0.0442  0.1452  0.07
Tomsic 1995   38  0.6256  0.0057  0.0364  0.0369  0.0374  0.03
Uninsky 1932   67  0.5041  0.0064  0.0367  0.0353  0.0567  0.04
Uninsky 1971   42  0.6230  0.0034  0.0538  0.1530  0.2931  0.21
Wasowski 1980   43  0.6138  0.0027  0.0629  0.195  0.3824  0.27
Zak 1937   35  0.6311  0.0225  0.0824  0.2522  0.3123  0.28
Zak 1951   55  0.578  0.0324  0.0622  0.2642  0.1538  0.20
Random 1   89  -0.0448  0.0090  0.0190  0.0163  0.0389  0.02
Random 2   90  -0.0889  0.0089  0.0289  0.0243  0.1068  0.04
Random 3   88  0.1390  0.0088  0.0288  0.0243  0.1160  0.05

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).