Barbosa 1983

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   20  0.3923  0.0120  0.0722  0.4329  0.3720  0.40
Anderszewski 2003   33  0.3472  0.0029  0.1028  0.3714  0.5317  0.44
Ashkenazy 1981   21  0.3859  0.0024  0.0821  0.4464  0.0633  0.16
Bacha 2000   49  0.2961  0.0053  0.0560  0.0531  0.2837  0.12
Badura 1965   78  0.1755  0.0075  0.0378  0.0364  0.0485  0.03
Barbosa 1983   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Biret 1990   60  0.2573  0.0066  0.0559  0.0540  0.2738  0.12
Blet 2003   12  0.4250  0.0012  0.147  0.6711  0.653  0.66
Block 1995   47  0.307  0.0326  0.0930  0.3539  0.1828  0.25
Blumental 1952   32  0.3443  0.0047  0.0564  0.0543  0.1355  0.08
Boshniakovich 1969   10  0.4229  0.008  0.166  0.6714  0.576  0.62
Brailowsky 1960   77  0.1966  0.0080  0.0472  0.0465  0.0573  0.04
Bunin 1987   35  0.3310  0.0231  0.0927  0.3728  0.4321  0.40
Bunin 1987b   36  0.3319  0.0132  0.0929  0.3625  0.4122  0.38
Chiu 1999   6  0.4430  0.0022  0.0818  0.5045  0.1526  0.27
Cohen 1997   62  0.2537  0.0062  0.0555  0.0556  0.0669  0.05
Cortot 1951   82  0.1545  0.0081  0.0473  0.0481  0.0287  0.03
Csalog 1996   76  0.1985  0.0079  0.0381  0.0373  0.0482  0.03
Czerny 1949   89  0.0474  0.0089  0.0289  0.0274  0.0483  0.03
Czerny 1990   41  0.3240  0.0050  0.0554  0.0543  0.2147  0.10
Duchoud 2007   54  0.2741  0.0063  0.0562  0.0563  0.0567  0.05
Ezaki 2006   58  0.2681  0.0060  0.0470  0.0450  0.0758  0.05
Falvay 1989   65  0.2475  0.0042  0.0543  0.1352  0.0648  0.09
Farrell 1958   63  0.2553  0.0039  0.0740  0.1348  0.0744  0.10
Ferenczy 1958   84  0.1578  0.0078  0.0475  0.0440  0.3342  0.11
Fliere 1977   34  0.3347  0.0045  0.0544  0.1074  0.0456  0.06
Fou 1978   46  0.3167  0.0041  0.0642  0.1349  0.0553  0.08
Francois 1956   67  0.2335  0.0068  0.0565  0.0544  0.1652  0.09
Friedman 1923   53  0.2868  0.0065  0.0653  0.0658  0.0757  0.06
Friedman 1923b   56  0.2788  0.0064  0.0566  0.0565  0.0670  0.05
Friedman 1930   39  0.3282  0.0043  0.0641  0.1357  0.0650  0.09
Garcia 2007   17  0.412  0.095  0.1410  0.6311  0.615  0.62
Garcia 2007b   28  0.3563  0.0025  0.0920  0.4716  0.5914  0.53
Gierzod 1998   73  0.2089  0.0070  0.0557  0.0555  0.0666  0.05
Gornostaeva 1994   74  0.2086  0.0072  0.0384  0.0355  0.0578  0.04
Groot 1988   30  0.3420  0.0127  0.0819  0.4967  0.0534  0.16
Harasiewicz 1955   11  0.429  0.0213  0.0925  0.4041  0.1530  0.24
Hatto 1993   5  0.4418  0.014  0.134  0.7216  0.537  0.62
Hatto 1997   18  0.4036  0.0010  0.1211  0.6311  0.5312  0.58
Horowitz 1949   22  0.3825  0.0119  0.0812  0.5919  0.5711  0.58
Indjic 1988   4  0.473  0.072  0.143  0.7312  0.632  0.68
Kapell 1951   9  0.4315  0.019  0.199  0.6412  0.4913  0.56
Kissin 1993   45  0.3156  0.0037  0.0836  0.2144  0.2829  0.24
Kushner 1989   43  0.3183  0.0057  0.0651  0.0658  0.0561  0.05
Luisada 1991   3  0.4812  0.013  0.142  0.7410  0.701  0.72
Lushtak 2004   8  0.436  0.0515  0.0932  0.3219  0.3923  0.35
Malcuzynski 1961   26  0.3528  0.0038  0.0738  0.1956  0.0545  0.10
Magaloff 1978   72  0.2160  0.0071  0.0471  0.0472  0.0475  0.04
Magin 1975   52  0.2879  0.0055  0.0747  0.0745  0.1639  0.11
Michalowski 1933   59  0.2557  0.0046  0.0556  0.0558  0.0664  0.05
Milkina 1970   50  0.2827  0.0056  0.0746  0.0736  0.2936  0.14
Mohovich 1999   14  0.424  0.067  0.1716  0.5218  0.4915  0.50
Moravec 1969   68  0.2148  0.0073  0.0383  0.0370  0.0479  0.03
Morozova 2008   7  0.4358  0.0021  0.0731  0.3245  0.0932  0.17
Neighaus 1950   23  0.3834  0.0016  0.0815  0.5443  0.1327  0.26
Niedzielski 1931   24  0.3746  0.0035  0.0834  0.2752  0.0735  0.14
Ohlsson 1999   38  0.3264  0.0034  0.0935  0.2651  0.0541  0.11
Osinska 1989   81  0.1684  0.0074  0.0477  0.0464  0.0472  0.04
Pachmann 1927   57  0.2642  0.0052  0.0567  0.0563  0.0663  0.05
Paderewski 1930   42  0.3149  0.0030  0.1133  0.3239  0.2825  0.30
Perlemuter 1992   44  0.3133  0.0049  0.0558  0.0554  0.0559  0.05
Pierdomenico 2008   79  0.1690  0.0076  0.0380  0.0369  0.0380  0.03
Poblocka 1999   29  0.3431  0.0028  0.0923  0.4321  0.4219  0.42
Rabcewiczowa 1932   66  0.2369  0.0067  0.0652  0.0640  0.2140  0.11
Rachmaninoff 1923   48  0.3051  0.0061  0.0649  0.0659  0.0460  0.05
Rangell 2001   25  0.3621  0.0118  0.0924  0.4315  0.4418  0.43
Richter 1976   31  0.3439  0.0044  0.0545  0.1048  0.0949  0.09
Rosen 1989   61  0.2587  0.0058  0.0748  0.0773  0.0368  0.05
Rosenthal 1930   69  0.2138  0.0083  0.0385  0.0364  0.0484  0.03
Rosenthal 1931   80  0.1665  0.0085  0.0287  0.0259  0.0481  0.03
Rosenthal 1931b   83  0.1580  0.0084  0.0379  0.0363  0.0488  0.03
Rosenthal 1931c   86  0.1270  0.0088  0.0382  0.0384  0.0291  0.02
Rosenthal 1931d   85  0.1371  0.0082  0.0474  0.0464  0.0386  0.03
Rossi 2007   90  -0.0791  0.0090  0.0190  0.0168  0.0489  0.02
Rubinstein 1939   51  0.2876  0.0069  0.0469  0.0471  0.0477  0.04
Rubinstein 1952   64  0.2416  0.0154  0.0650  0.0668  0.0471  0.05
Rubinstein 1966   2  0.505  0.056  0.185  0.685  0.584  0.63
Schilhawsky 1960   13  0.4226  0.0023  0.1014  0.564  0.679  0.61
Shebanova 2002   15  0.4117  0.0111  0.148  0.6641  0.3516  0.48
Smith 1975   70  0.2177  0.0077  0.0476  0.0466  0.0576  0.04
Sokolov 2002   75  0.2052  0.0059  0.0561  0.0569  0.0374  0.04
Sztompka 1959   55  0.2711  0.0236  0.0839  0.1755  0.0646  0.10
Tomsic 1995   71  0.2114  0.0151  0.0568  0.0556  0.0562  0.05
Uninsky 1932   27  0.3544  0.0040  0.0737  0.2152  0.0643  0.11
Uninsky 1971   40  0.3224  0.0148  0.0563  0.0557  0.0665  0.05
Wasowski 1980   37  0.3213  0.0133  0.1326  0.3939  0.2624  0.32
Zak 1937   16  0.418  0.0214  0.0913  0.5812  0.658  0.61
Zak 1951   19  0.4022  0.0117  0.0917  0.529  0.6510  0.58
Average   1  0.551  0.391  0.391  0.8063  0.0531  0.20
Random 1   88  0.0662  0.0087  0.0286  0.0210  0.4451  0.09
Random 2   87  0.1032  0.0086  0.0288  0.0225  0.3154  0.08
Random 3   91  -0.0954  0.0091  0.0191  0.0148  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).