Barbosa 1983

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   19  0.3912  0.0219  0.0721  0.4328  0.3720  0.40
Anderszewski 2003   32  0.3472  0.0028  0.1027  0.3713  0.5317  0.44
Ashkenazy 1981   20  0.3860  0.0023  0.0820  0.4463  0.0632  0.16
Bacha 2000   48  0.2961  0.0052  0.0559  0.0530  0.2836  0.12
Badura 1965   77  0.1753  0.0074  0.0377  0.0363  0.0485  0.03
Barbosa 1983   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Biret 1990   59  0.2573  0.0065  0.0558  0.0539  0.2738  0.12
Blet 2003   11  0.4249  0.0011  0.146  0.6710  0.653  0.66
Block 1995   46  0.308  0.0325  0.0929  0.3538  0.1828  0.25
Blumental 1952   31  0.3445  0.0046  0.0563  0.0542  0.1354  0.08
Boshniakovich 1969   9  0.4215  0.027  0.165  0.6713  0.576  0.62
Brailowsky 1960   76  0.1966  0.0079  0.0471  0.0464  0.0572  0.04
Bunin 1987   34  0.3310  0.0330  0.0926  0.3727  0.4321  0.40
Bunin 1987b   35  0.3323  0.0131  0.0928  0.3624  0.4122  0.38
Chiu 1999   5  0.4432  0.0021  0.0817  0.5044  0.1526  0.27
Cohen 1997   61  0.2531  0.0061  0.0554  0.0555  0.0668  0.05
Cortot 1951   81  0.1547  0.0080  0.0472  0.0480  0.0287  0.03
Csalog 1996   75  0.1984  0.0078  0.0380  0.0372  0.0483  0.03
Czerny 1949   88  0.0474  0.0088  0.0288  0.0273  0.0484  0.03
Czerny 1990   40  0.3238  0.0049  0.0553  0.0542  0.2146  0.10
Duchoud 2007   53  0.2742  0.0062  0.0561  0.0562  0.0566  0.05
Ezaki 2006   57  0.2659  0.0059  0.0469  0.0449  0.0757  0.05
Falvay 1989   64  0.2475  0.0041  0.0542  0.1351  0.0647  0.09
Farrell 1958   62  0.2554  0.0038  0.0739  0.1347  0.0743  0.10
Ferenczy 1958   83  0.1578  0.0077  0.0474  0.0439  0.3342  0.11
Fliere 1977   33  0.3350  0.0044  0.0543  0.1073  0.0455  0.06
Fou 1978   45  0.3167  0.0040  0.0641  0.1348  0.0552  0.08
Francois 1956   66  0.2337  0.0067  0.0564  0.0543  0.1651  0.09
Friedman 1923   52  0.2868  0.0064  0.0652  0.0657  0.0756  0.06
Friedman 1923b   55  0.2787  0.0063  0.0565  0.0564  0.0669  0.05
Friedman 1930   38  0.3281  0.0042  0.0640  0.1356  0.0649  0.09
Garcia 2007   16  0.413  0.114  0.149  0.6310  0.615  0.62
Garcia 2007b   27  0.3563  0.0024  0.0919  0.4715  0.5914  0.53
Gierzod 1998   72  0.2088  0.0069  0.0556  0.0554  0.0665  0.05
Gornostaeva 1994   73  0.2085  0.0071  0.0383  0.0354  0.0578  0.04
Groot 1988   29  0.3422  0.0126  0.0818  0.4966  0.0533  0.16
Harasiewicz 1955   10  0.4211  0.0212  0.0924  0.4040  0.1530  0.24
Hatto 1993   4  0.447  0.053  0.133  0.7215  0.537  0.62
Hatto 1997   17  0.4036  0.009  0.1210  0.6310  0.5312  0.58
Horowitz 1949   21  0.3828  0.0118  0.0811  0.5918  0.5711  0.58
Indjic 1988   3  0.471  0.141  0.142  0.7311  0.632  0.68
Kapell 1951   8  0.4316  0.018  0.198  0.6411  0.4913  0.56
Kissin 1993   44  0.3156  0.0036  0.0835  0.2143  0.2829  0.24
Kushner 1989   42  0.3182  0.0056  0.0650  0.0657  0.0560  0.05
Luisada 1991   2  0.482  0.122  0.141  0.749  0.701  0.72
Lushtak 2004   7  0.435  0.0714  0.0931  0.3218  0.3923  0.35
Malcuzynski 1961   25  0.3530  0.0037  0.0737  0.1955  0.0544  0.10
Magaloff 1978   71  0.2158  0.0070  0.0470  0.0471  0.0474  0.04
Magin 1975   51  0.2879  0.0054  0.0746  0.0744  0.1639  0.11
Michalowski 1933   58  0.2557  0.0045  0.0555  0.0557  0.0663  0.05
Milkina 1970   49  0.2829  0.0055  0.0745  0.0735  0.2935  0.14
Mohovich 1999   13  0.426  0.076  0.1715  0.5217  0.4915  0.50
Moravec 1969   67  0.2146  0.0072  0.0382  0.0369  0.0479  0.03
Morozova 2008   6  0.4320  0.0120  0.0730  0.3244  0.0931  0.17
Neighaus 1950   22  0.3818  0.0115  0.0814  0.5442  0.1327  0.26
Niedzielski 1931   23  0.3748  0.0034  0.0833  0.2751  0.0734  0.14
Ohlsson 1999   37  0.3264  0.0033  0.0934  0.2650  0.0541  0.11
Osinska 1989   80  0.1683  0.0073  0.0476  0.0463  0.0471  0.04
Pachmann 1927   56  0.2644  0.0051  0.0566  0.0562  0.0662  0.05
Paderewski 1930   41  0.3151  0.0029  0.1132  0.3238  0.2825  0.30
Perlemuter 1992   43  0.3135  0.0048  0.0557  0.0553  0.0558  0.05
Pierdomenico 2008   78  0.1689  0.0075  0.0379  0.0368  0.0381  0.03
Poblocka 1999   28  0.3433  0.0027  0.1022  0.4320  0.4219  0.42
Rabcewiczowa 1932   65  0.2369  0.0066  0.0651  0.0639  0.2140  0.11
Rachmaninoff 1923   47  0.3041  0.0060  0.0648  0.0658  0.0459  0.05
Rangell 2001   24  0.3624  0.0117  0.0923  0.4314  0.4418  0.43
Richter 1976   30  0.3440  0.0043  0.0544  0.1047  0.0948  0.09
Rosen 1989   60  0.2586  0.0057  0.0747  0.0772  0.0367  0.05
Rosenthal 1930   68  0.2139  0.0082  0.0384  0.0363  0.0577  0.04
Rosenthal 1931   79  0.1665  0.0084  0.0286  0.0258  0.0482  0.03
Rosenthal 1931b   82  0.1580  0.0083  0.0378  0.0362  0.0488  0.03
Rosenthal 1931c   85  0.1270  0.0087  0.0381  0.0383  0.0290  0.02
Rosenthal 1931d   84  0.1371  0.0081  0.0473  0.0463  0.0386  0.03
Rossi 2007   89  -0.0790  0.0089  0.0289  0.0267  0.0480  0.03
Rubinstein 1939   50  0.2876  0.0068  0.0568  0.0570  0.0476  0.04
Rubinstein 1952   63  0.2421  0.0153  0.0649  0.0667  0.0470  0.05
Rubinstein 1966   1  0.504  0.095  0.184  0.684  0.584  0.63
Schilhawsky 1960   12  0.4227  0.0122  0.1013  0.564  0.679  0.61
Shebanova 2002   14  0.4117  0.0110  0.147  0.6640  0.3516  0.48
Smith 1975   69  0.2177  0.0076  0.0475  0.0465  0.0575  0.04
Sokolov 2002   74  0.2052  0.0058  0.0560  0.0568  0.0373  0.04
Sztompka 1959   54  0.2714  0.0235  0.0838  0.1754  0.0645  0.10
Tomsic 1995   70  0.2119  0.0150  0.0567  0.0555  0.0561  0.05
Uninsky 1932   26  0.3543  0.0039  0.0736  0.2151  0.0737  0.12
Uninsky 1971   39  0.3225  0.0147  0.0562  0.0556  0.0664  0.05
Wasowski 1980   36  0.3213  0.0232  0.1325  0.3938  0.2624  0.32
Zak 1937   15  0.419  0.0313  0.0912  0.5811  0.658  0.61
Zak 1951   18  0.4026  0.0116  0.0916  0.528  0.6510  0.58
Random 1   87  0.0662  0.0086  0.0285  0.0210  0.4250  0.09
Random 2   86  0.1034  0.0085  0.0287  0.0224  0.3153  0.08
Random 3   90  -0.0955  0.0090  0.0190  0.0147  0.0489  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).