Barbosa 1983

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   2  0.6010  0.034  0.198  0.5414  0.4310  0.48
Anderszewski 2003   70  0.2985  0.0062  0.0473  0.0470  0.0379  0.03
Ashkenazy 1981   53  0.3986  0.0042  0.0741  0.1578  0.0355  0.07
Bacha 2000   56  0.3950  0.0046  0.0471  0.0414  0.4737  0.14
Badura 1965   52  0.4074  0.0056  0.0556  0.0542  0.1251  0.08
Barbosa 1983   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Biret 1990   31  0.4651  0.0034  0.1123  0.4224  0.3915  0.40
Blet 2003   1  0.621  0.221  0.221  0.641  0.671  0.65
Block 1995   75  0.2711  0.0269  0.0466  0.0476  0.0382  0.03
Blumental 1952   73  0.2890  0.0075  0.0460  0.0465  0.0471  0.04
Boshniakovich 1969   46  0.4147  0.0048  0.0555  0.0532  0.2741  0.12
Brailowsky 1960   64  0.3665  0.0074  0.0547  0.0558  0.0464  0.04
Bunin 1987   15  0.5324  0.0129  0.0714  0.4725  0.3319  0.39
Bunin 1987b   14  0.5315  0.0130  0.1313  0.4725  0.3217  0.39
Chiu 1999   3  0.593  0.092  0.152  0.634  0.662  0.64
Cohen 1997   77  0.2671  0.0070  0.0467  0.0436  0.1552  0.08
Cortot 1951   68  0.3169  0.0064  0.0463  0.0456  0.0572  0.04
Csalog 1996   37  0.4416  0.0126  0.0631  0.3521  0.4121  0.38
Czerny 1949   54  0.3967  0.0067  0.0546  0.0548  0.0661  0.05
Czerny 1990   29  0.4834  0.0040  0.0839  0.2349  0.0642  0.12
Duchoud 2007   19  0.5227  0.0122  0.0715  0.4723  0.4312  0.45
Ezaki 2006   20  0.5275  0.0035  0.1425  0.4036  0.1433  0.24
Falvay 1989   30  0.4764  0.0041  0.0940  0.2250  0.0545  0.10
Farrell 1958   63  0.3852  0.0059  0.0553  0.0556  0.0466  0.04
Ferenczy 1958   48  0.4176  0.0045  0.0462  0.0424  0.3044  0.11
Fliere 1977   13  0.5339  0.0013  0.0817  0.4527  0.2525  0.34
Fou 1978   34  0.456  0.0411  0.0926  0.4035  0.2328  0.30
Francois 1956   10  0.5425  0.0124  0.0820  0.4327  0.2726  0.34
Friedman 1923   87  0.1635  0.0082  0.0382  0.0366  0.0484  0.03
Friedman 1923b   85  0.1780  0.0081  0.0381  0.0375  0.0483  0.03
Friedman 1930   78  0.2556  0.0068  0.0554  0.0554  0.0560  0.05
Garcia 2007   72  0.2831  0.0071  0.0549  0.0524  0.3339  0.13
Garcia 2007b   82  0.2154  0.0079  0.0459  0.0440  0.1456  0.07
Gierzod 1998   59  0.3887  0.0066  0.0461  0.0477  0.0380  0.03
Gornostaeva 1994   36  0.4457  0.0044  0.0643  0.1169  0.0358  0.06
Groot 1988   7  0.5614  0.0112  0.093  0.6116  0.427  0.51
Harasiewicz 1955   32  0.4632  0.0020  0.0838  0.2459  0.0447  0.10
Hatto 1993   65  0.3620  0.019  0.1232  0.3319  0.3227  0.32
Hatto 1997   58  0.3812  0.028  0.0928  0.3819  0.3722  0.37
Horowitz 1949   61  0.3838  0.0057  0.0478  0.0456  0.0469  0.04
Indjic 1988   60  0.384  0.077  0.1029  0.3814  0.3820  0.38
Kapell 1951   17  0.5245  0.0033  0.1119  0.4434  0.2923  0.36
Kissin 1993   39  0.4368  0.0051  0.0550  0.0545  0.0757  0.06
Kushner 1989   43  0.4288  0.0065  0.0465  0.0474  0.0378  0.03
Luisada 1991   33  0.4613  0.0221  0.1135  0.2740  0.1436  0.19
Lushtak 2004   4  0.599  0.033  0.184  0.5810  0.525  0.55
Malcuzynski 1961   40  0.4342  0.0054  0.0548  0.0577  0.0368  0.04
Magaloff 1978   66  0.3436  0.0052  0.0468  0.0461  0.0374  0.03
Magin 1975   79  0.2377  0.0077  0.0470  0.0466  0.0377  0.03
Michalowski 1933   69  0.2978  0.0060  0.0551  0.0542  0.1548  0.09
Milkina 1970   47  0.4133  0.0053  0.0464  0.0454  0.0567  0.04
Mohovich 1999   9  0.552  0.095  0.109  0.5217  0.4411  0.48
Moravec 1969   62  0.3881  0.0073  0.0474  0.0476  0.0373  0.03
Morozova 2008   21  0.5243  0.0031  0.0924  0.4125  0.2230  0.30
Neighaus 1950   23  0.518  0.0310  0.096  0.5628  0.2816  0.40
Niedzielski 1931   67  0.3244  0.0072  0.0379  0.0363  0.0476  0.03
Ohlsson 1999   25  0.5018  0.0123  0.0816  0.4633  0.2029  0.30
Osinska 1989   49  0.4172  0.0061  0.0545  0.0574  0.0463  0.04
Pachmann 1927   18  0.5223  0.0114  0.0811  0.515  0.623  0.56
Paderewski 1930   57  0.3858  0.0063  0.0477  0.0442  0.1254  0.07
Perlemuter 1992   22  0.5130  0.0138  0.0836  0.2635  0.1535  0.20
Pierdomenico 2008   71  0.2982  0.0078  0.0475  0.0487  0.0275  0.03
Poblocka 1999   26  0.5048  0.0018  0.0918  0.4517  0.3713  0.41
Rabcewiczowa 1932   38  0.4449  0.0037  0.1033  0.2921  0.4324  0.35
Rachmaninoff 1923   45  0.4141  0.0055  0.0476  0.0471  0.0465  0.04
Rangell 2001   55  0.3937  0.0050  0.0552  0.0522  0.2943  0.12
Richter 1976   44  0.4255  0.0058  0.0469  0.0465  0.0470  0.04
Rosen 1989   51  0.4029  0.0125  0.0642  0.1542  0.1338  0.14
Rosenthal 1930   76  0.2763  0.0080  0.0380  0.0370  0.0381  0.03
Rosenthal 1931   80  0.2259  0.0084  0.0283  0.0282  0.0286  0.02
Rosenthal 1931b   84  0.1860  0.0085  0.0288  0.0282  0.0289  0.02
Rosenthal 1931c   81  0.2179  0.0083  0.0286  0.0283  0.0290  0.02
Rosenthal 1931d   83  0.1883  0.0086  0.0284  0.0276  0.0388  0.02
Rossi 2007   86  0.1684  0.0087  0.0285  0.0269  0.0385  0.02
Rubinstein 1939   74  0.2873  0.0076  0.0472  0.0430  0.2546  0.10
Rubinstein 1952   35  0.4419  0.0149  0.0458  0.0434  0.1853  0.08
Rubinstein 1966   11  0.545  0.076  0.095  0.566  0.554  0.55
Schilhawsky 1960   12  0.5428  0.0119  0.0922  0.4218  0.3914  0.40
Shebanova 2002   24  0.5146  0.0027  0.0721  0.4326  0.3518  0.39
Smith 1975   27  0.4961  0.0039  0.0834  0.2951  0.0540  0.12
Sokolov 2002   41  0.4270  0.0043  0.0544  0.1046  0.0750  0.08
Sztompka 1959   42  0.4253  0.0047  0.0557  0.0548  0.0659  0.05
Tomsic 1995   28  0.4940  0.0036  0.1330  0.3632  0.1932  0.26
Uninsky 1932   16  0.5217  0.0128  0.0727  0.3828  0.2231  0.29
Uninsky 1971   6  0.5622  0.0117  0.1012  0.4811  0.508  0.49
Wasowski 1980   50  0.4166  0.0032  0.0937  0.2438  0.1934  0.21
Zak 1937   8  0.567  0.0416  0.1010  0.5114  0.459  0.48
Zak 1951   5  0.5621  0.0115  0.087  0.5613  0.476  0.51
Random 1   88  0.0262  0.0089  0.0287  0.0214  0.3849  0.09
Random 2   89  0.0126  0.0188  0.0189  0.0122  0.2762  0.05
Random 3   90  -0.0689  0.0090  0.0190  0.0166  0.0387  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).