Barbosa 1983

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   52  0.3753  0.0051  0.0849  0.0833  0.2352  0.14
Anderszewski 2003   10  0.487  0.026  0.2110  0.614  0.724  0.66
Ashkenazy 1981   49  0.3856  0.0064  0.0660  0.0659  0.0664  0.06
Bacha 2000   64  0.3487  0.0066  0.0750  0.0726  0.2850  0.14
Badura 1965   75  0.2884  0.0074  0.0473  0.0484  0.0386  0.03
Barbosa 1983   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Biret 1990   42  0.4047  0.0042  0.0643  0.1618  0.5738  0.30
Blet 2003   40  0.4066  0.0050  0.0664  0.0627  0.3949  0.15
Block 1995   34  0.416  0.0315  0.1121  0.4118  0.5021  0.45
Blumental 1952   15  0.4711  0.0120  0.0817  0.4811  0.6115  0.54
Boshniakovich 1969   16  0.475  0.093  0.173  0.709  0.682  0.69
Brailowsky 1960   51  0.3833  0.0057  0.0663  0.0630  0.3351  0.14
Bunin 1987   35  0.4123  0.0034  0.0831  0.2912  0.5327  0.39
Bunin 1987b   39  0.4036  0.0038  0.0738  0.2112  0.5132  0.33
Chiu 1999   19  0.4659  0.0022  0.0825  0.3716  0.4823  0.42
Cohen 1997   74  0.2970  0.0075  0.0567  0.0548  0.0765  0.06
Cortot 1951   76  0.2782  0.0078  0.0476  0.0448  0.0775  0.05
Csalog 1996   73  0.2972  0.0072  0.0570  0.0567  0.0478  0.04
Czerny 1949   67  0.3183  0.0067  0.0661  0.0639  0.2354  0.12
Czerny 1990   13  0.4713  0.0111  0.107  0.6416  0.685  0.66
Duchoud 2007   81  0.2490  0.0083  0.0287  0.0248  0.0779  0.04
Ezaki 2006   18  0.4724  0.0029  0.1028  0.3416  0.5622  0.44
Falvay 1989   32  0.4112  0.0117  0.1030  0.3232  0.2935  0.30
Farrell 1958   48  0.3921  0.0030  0.0934  0.2422  0.3736  0.30
Ferenczy 1958   71  0.3067  0.0069  0.0379  0.0333  0.4059  0.11
Fliere 1977   23  0.4519  0.0019  0.0818  0.4541  0.2034  0.30
Fou 1978   30  0.4328  0.0035  0.0732  0.2631  0.3239  0.29
Francois 1956   77  0.2675  0.0076  0.0474  0.0455  0.0482  0.04
Friedman 1923   68  0.3068  0.0068  0.0478  0.0462  0.0583  0.04
Friedman 1923b   72  0.2986  0.0070  0.0569  0.0559  0.0573  0.05
Friedman 1930   66  0.3250  0.0060  0.0657  0.0657  0.0571  0.05
Garcia 2007   62  0.3425  0.0046  0.0946  0.0913  0.5344  0.22
Garcia 2007b   59  0.3554  0.0031  0.0736  0.2317  0.5429  0.35
Gierzod 1998   37  0.4143  0.0040  0.0640  0.2030  0.2942  0.24
Gornostaeva 1994   55  0.3677  0.0059  0.0665  0.0647  0.0862  0.07
Groot 1988   36  0.4149  0.0021  0.0819  0.4221  0.3926  0.40
Harasiewicz 1955   2  0.5416  0.017  0.172  0.7411  0.558  0.64
Hatto 1993   7  0.4944  0.0010  0.126  0.6711  0.617  0.64
Hatto 1997   17  0.4751  0.0014  0.1211  0.5810  0.5711  0.57
Horowitz 1949   56  0.3529  0.0061  0.0753  0.0722  0.5047  0.19
Indjic 1988   5  0.5076  0.009  0.115  0.689  0.663  0.67
Kapell 1951   3  0.513  0.102  0.254  0.695  0.5810  0.63
Kissin 1993   29  0.4431  0.0043  0.0742  0.1725  0.5237  0.30
Kushner 1989   27  0.4438  0.0044  0.0844  0.1650  0.0758  0.11
Luisada 1991   4  0.5114  0.0112  0.118  0.647  0.666  0.65
Lushtak 2004   6  0.494  0.098  0.1322  0.4016  0.5320  0.46
Malcuzynski 1961   21  0.468  0.0216  0.1029  0.3332  0.3333  0.33
Magaloff 1978   47  0.3927  0.0053  0.0658  0.0652  0.0569  0.05
Magin 1975   41  0.4078  0.0045  0.0847  0.0821  0.4546  0.19
Michalowski 1933   85  0.1957  0.0084  0.0283  0.0248  0.0777  0.04
Milkina 1970   25  0.449  0.0218  0.0913  0.5217  0.5813  0.55
Mohovich 1999   9  0.4817  0.015  0.1415  0.4919  0.5218  0.50
Moravec 1969   38  0.4160  0.0048  0.0656  0.0636  0.2255  0.11
Morozova 2008   14  0.4734  0.0027  0.0720  0.4217  0.5019  0.46
Neighaus 1950   63  0.3440  0.0062  0.0752  0.0765  0.0474  0.05
Niedzielski 1931   57  0.3573  0.0065  0.0659  0.0645  0.0763  0.06
Ohlsson 1999   46  0.3958  0.0036  0.0737  0.2138  0.2045  0.20
Osinska 1989   53  0.3762  0.0052  0.0754  0.0769  0.0467  0.05
Pachmann 1927   79  0.2569  0.0077  0.0477  0.0467  0.0476  0.04
Paderewski 1930   82  0.2279  0.0073  0.0472  0.0451  0.0670  0.05
Perlemuter 1992   69  0.3037  0.0071  0.0475  0.0456  0.0666  0.05
Pierdomenico 2008   86  0.1763  0.0086  0.0381  0.0373  0.0484  0.03
Poblocka 1999   8  0.4955  0.0013  0.119  0.647  0.629  0.63
Rabcewiczowa 1932   61  0.3441  0.0041  0.0741  0.1724  0.4540  0.28
Rachmaninoff 1923   44  0.4020  0.0049  0.0751  0.0729  0.3448  0.15
Rangell 2001   31  0.4252  0.0047  0.1045  0.107  0.5943  0.24
Richter 1976   22  0.4561  0.0033  0.0733  0.2625  0.4828  0.35
Rosen 1989   58  0.3571  0.0054  0.0566  0.0567  0.0480  0.04
Rosenthal 1930   70  0.3048  0.0079  0.0471  0.0449  0.0672  0.05
Rosenthal 1931   80  0.2564  0.0082  0.0284  0.0267  0.0485  0.03
Rosenthal 1931b   83  0.2288  0.0085  0.0380  0.0370  0.0388  0.03
Rosenthal 1931c   78  0.2580  0.0080  0.0286  0.0279  0.0390  0.02
Rosenthal 1931d   84  0.2085  0.0081  0.0285  0.0265  0.0487  0.03
Rossi 2007   88  0.0974  0.0087  0.0282  0.0273  0.0389  0.02
Rubinstein 1939   45  0.4046  0.0055  0.0655  0.0630  0.2257  0.11
Rubinstein 1952   33  0.4110  0.0226  0.0826  0.3627  0.4724  0.41
Rubinstein 1966   1  0.561  0.361  0.351  0.814  0.721  0.76
Schilhawsky 1960   20  0.4630  0.0028  0.0823  0.402  0.6817  0.52
Shebanova 2002   28  0.4432  0.0032  0.0727  0.3533  0.3331  0.34
Smith 1975   54  0.3665  0.0058  0.0568  0.0533  0.2556  0.11
Sokolov 2002   60  0.3542  0.0063  0.0662  0.0664  0.0468  0.05
Sztompka 1959   50  0.3822  0.0037  0.0739  0.2037  0.2841  0.24
Tomsic 1995   65  0.3335  0.0056  0.0848  0.0836  0.1953  0.12
Uninsky 1932   43  0.4015  0.0139  0.0735  0.2317  0.5130  0.34
Uninsky 1971   26  0.4418  0.0125  0.1024  0.3823  0.4225  0.40
Wasowski 1980   24  0.452  0.114  0.1412  0.5316  0.5316  0.53
Zak 1937   11  0.4739  0.0024  0.1014  0.507  0.6312  0.56
Zak 1951   12  0.4745  0.0023  0.0816  0.487  0.6214  0.55
Random 1   89  0.0281  0.0089  0.0289  0.0214  0.4260  0.09
Random 2   87  0.0926  0.0088  0.0288  0.0219  0.3461  0.08
Random 3   90  -0.0689  0.0090  0.0190  0.0133  0.1981  0.04

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).