Barbosa 1983

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   45  0.4825  0.0162  0.0460  0.0475  0.0381  0.03
Anderszewski 2003   31  0.5455  0.0027  0.0622  0.2452  0.0529  0.11
Ashkenazy 1981   20  0.5748  0.0050  0.0553  0.0581  0.0368  0.04
Bacha 2000   14  0.602  0.114  0.163  0.528  0.433  0.47
Badura 1965   38  0.5156  0.0060  0.0374  0.0355  0.0566  0.04
Barbosa 1983   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Biret 1990   32  0.5419  0.0110  0.0712  0.3735  0.1812  0.26
Blet 2003   30  0.5512  0.0122  0.0727  0.2246  0.0824  0.13
Block 1995   57  0.4241  0.0025  0.0631  0.1755  0.0537  0.09
Blumental 1952   22  0.578  0.0212  0.0819  0.3040  0.1019  0.17
Boshniakovich 1969   70  0.3427  0.0071  0.0471  0.0475  0.0467  0.04
Brailowsky 1960   7  0.613  0.113  0.212  0.604  0.532  0.56
Bunin 1987   77  0.2545  0.0081  0.0381  0.0370  0.0484  0.03
Bunin 1987b   78  0.2475  0.0080  0.0284  0.0257  0.0675  0.03
Chiu 1999   1  0.771  0.341  0.341  0.682  0.501  0.58
Cohen 1997   15  0.6021  0.0148  0.0559  0.0513  0.3625  0.13
Cortot 1951   48  0.4769  0.0061  0.0461  0.0452  0.0570  0.04
Csalog 1996   76  0.2654  0.0030  0.0533  0.1732  0.2317  0.20
Czerny 1949   60  0.4232  0.0075  0.0552  0.0578  0.0365  0.04
Czerny 1990   27  0.5562  0.0038  0.0434  0.1563  0.0441  0.08
Duchoud 2007   65  0.3886  0.0074  0.0463  0.0467  0.0382  0.03
Ezaki 2006   4  0.687  0.039  0.087  0.4639  0.187  0.29
Falvay 1989   39  0.5134  0.0045  0.0444  0.0836  0.3320  0.16
Farrell 1958   6  0.6435  0.0019  0.0817  0.3340  0.1714  0.24
Ferenczy 1958   35  0.5333  0.0037  0.0432  0.1730  0.1818  0.17
Fliere 1977   34  0.5384  0.0039  0.0537  0.1274  0.0443  0.07
Fou 1978   36  0.5229  0.0042  0.0439  0.1162  0.0445  0.07
Francois 1956   53  0.4580  0.0049  0.0557  0.0556  0.0558  0.05
Friedman 1923   16  0.5960  0.0028  0.0538  0.1254  0.0542  0.08
Friedman 1923b   17  0.5966  0.0035  0.0540  0.1162  0.0547  0.07
Friedman 1930   21  0.5770  0.0053  0.0747  0.0785  0.0353  0.05
Garcia 2007   56  0.4481  0.0072  0.0376  0.0383  0.0383  0.03
Garcia 2007b   62  0.4087  0.0065  0.0462  0.0482  0.0388  0.03
Gierzod 1998   52  0.4523  0.0143  0.0446  0.0881  0.0356  0.05
Gornostaeva 1994   58  0.4251  0.0047  0.0554  0.0568  0.0369  0.04
Groot 1988   28  0.5557  0.0018  0.0613  0.3636  0.249  0.29
Harasiewicz 1955   26  0.5646  0.0057  0.0555  0.0580  0.0371  0.04
Hatto 1993   11  0.6126  0.0036  0.0635  0.1367  0.0449  0.07
Hatto 1997   8  0.6171  0.0051  0.0558  0.0557  0.0554  0.05
Horowitz 1949   71  0.3372  0.0077  0.0379  0.0364  0.0561  0.04
Indjic 1988   10  0.6179  0.0052  0.0943  0.0958  0.0546  0.07
Kapell 1951   68  0.3611  0.0214  0.0718  0.3061  0.0428  0.11
Kissin 1993   64  0.3936  0.0064  0.0468  0.0459  0.0462  0.04
Kushner 1989   41  0.5037  0.0026  0.0525  0.2265  0.0436  0.09
Luisada 1991   3  0.695  0.032  0.174  0.5238  0.1510  0.28
Lushtak 2004   2  0.709  0.025  0.148  0.4440  0.1315  0.24
Malcuzynski 1961   86  0.1064  0.0088  0.0378  0.0387  0.0289  0.02
Magaloff 1978   37  0.5167  0.0046  0.0649  0.0643  0.1631  0.10
Magin 1975   69  0.3631  0.0066  0.0464  0.0482  0.0374  0.03
Michalowski 1933   81  0.2088  0.0083  0.0380  0.0376  0.0379  0.03
Milkina 1970   61  0.4115  0.0116  0.0726  0.2238  0.1816  0.20
Mohovich 1999   18  0.5910  0.028  0.165  0.5131  0.335  0.41
Moravec 1969   59  0.4243  0.0059  0.0466  0.0436  0.1933  0.09
Morozova 2008   29  0.5513  0.0140  0.0441  0.1146  0.0639  0.08
Neighaus 1950   51  0.4630  0.0034  0.0436  0.1368  0.0448  0.07
Niedzielski 1931   47  0.4717  0.0123  0.0829  0.1950  0.0435  0.09
Ohlsson 1999   50  0.4616  0.0154  0.0748  0.0781  0.0352  0.05
Osinska 1989   33  0.5473  0.0029  0.0423  0.2380  0.0338  0.08
Pachmann 1927   72  0.3185  0.0082  0.0382  0.0378  0.0378  0.03
Paderewski 1930   74  0.3082  0.0073  0.0465  0.0466  0.0377  0.03
Perlemuter 1992   19  0.5883  0.0031  0.0530  0.1776  0.0344  0.07
Pierdomenico 2008   80  0.2363  0.0069  0.0375  0.0365  0.0560  0.04
Poblocka 1999   75  0.2861  0.0070  0.0373  0.0385  0.0372  0.03
Rabcewiczowa 1932   55  0.4440  0.0024  0.0628  0.2143  0.0923  0.14
Rachmaninoff 1923   42  0.4953  0.0063  0.0469  0.0482  0.0373  0.03
Rangell 2001   82  0.1576  0.0068  0.0372  0.0341  0.1451  0.06
Richter 1976   79  0.2458  0.0078  0.0377  0.0371  0.0376  0.03
Rosen 1989   49  0.4749  0.0033  0.0521  0.2561  0.0432  0.10
Rosenthal 1930   84  0.1368  0.0085  0.0289  0.0279  0.0391  0.02
Rosenthal 1931   83  0.1390  0.0079  0.0283  0.0267  0.0480  0.03
Rosenthal 1931b   85  0.1291  0.0084  0.0288  0.0275  0.0486  0.03
Rosenthal 1931c   88  0.0965  0.0086  0.0287  0.0273  0.0487  0.03
Rosenthal 1931d   87  0.1089  0.0087  0.0285  0.0267  0.0485  0.03
Rossi 2007   40  0.5042  0.0058  0.0470  0.0433  0.1934  0.09
Rubinstein 1939   12  0.6077  0.0020  0.0620  0.2624  0.2911  0.27
Rubinstein 1952   44  0.4852  0.0015  0.0715  0.3421  0.436  0.38
Rubinstein 1966   5  0.6724  0.017  0.156  0.4915  0.424  0.45
Schilhawsky 1960   66  0.3874  0.0076  0.0550  0.0570  0.0464  0.04
Shebanova 2002   43  0.4818  0.0132  0.0524  0.2277  0.0340  0.08
Smith 1975   24  0.566  0.0311  0.0911  0.4128  0.218  0.29
Sokolov 2002   67  0.3650  0.0056  0.0556  0.0572  0.0359  0.04
Sztompka 1959   46  0.4759  0.0041  0.0542  0.1072  0.0450  0.06
Tomsic 1995   63  0.3978  0.0044  0.0445  0.0831  0.3321  0.16
Uninsky 1932   54  0.4538  0.0055  0.0551  0.0568  0.0555  0.05
Uninsky 1971   73  0.3122  0.0167  0.0467  0.0471  0.0463  0.04
Wasowski 1980   13  0.604  0.056  0.1610  0.4134  0.1513  0.25
Zak 1937   23  0.5614  0.0117  0.0714  0.3660  0.0426  0.12
Zak 1951   25  0.5644  0.0021  0.0916  0.3459  0.0427  0.12
Average   9  0.6120  0.0113  0.089  0.4454  0.0522  0.15
Random 1   91  -0.0928  0.0091  0.0191  0.0123  0.2557  0.05
Random 2   90  -0.0639  0.0090  0.0190  0.0167  0.0390  0.02
Random 3   89  -0.0147  0.0089  0.0286  0.025  0.5730  0.11

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).