Badura 1965

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   1  0.711  0.251  0.241  0.6427  0.325  0.45
Anderszewski 2003   44  0.5224  0.0157  0.0470  0.0463  0.0382  0.03
Ashkenazy 1981   17  0.6020  0.017  0.1011  0.4435  0.2015  0.30
Bacha 2000   80  0.3356  0.0072  0.0473  0.0465  0.0562  0.04
Badura 1965   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Barbosa 1983   41  0.5357  0.0053  0.0471  0.0454  0.0658  0.05
Biret 1990   65  0.4686  0.0066  0.0649  0.0673  0.0460  0.05
Blet 2003   16  0.6135  0.0018  0.0715  0.3932  0.2016  0.28
Block 1995   58  0.4773  0.0060  0.0556  0.0573  0.0370  0.04
Blumental 1952   68  0.4247  0.0068  0.0467  0.0480  0.0284  0.03
Boshniakovich 1969   5  0.674  0.075  0.254  0.579  0.551  0.56
Brailowsky 1960   70  0.4063  0.0084  0.0378  0.0350  0.0563  0.04
Bunin 1987   37  0.5418  0.0131  0.0923  0.3617  0.419  0.38
Bunin 1987b   39  0.5313  0.0130  0.0822  0.3618  0.418  0.38
Chiu 1999   48  0.5154  0.0056  0.0557  0.0572  0.0364  0.04
Cohen 1997   83  0.2679  0.0080  0.0287  0.0282  0.0387  0.02
Cortot 1951   32  0.5612  0.0134  0.0833  0.2733  0.2021  0.23
Csalog 1996   79  0.3488  0.0070  0.0550  0.0546  0.0754  0.06
Czerny 1949   8  0.6774  0.0010  0.1112  0.4323  0.356  0.39
Czerny 1990   12  0.6248  0.0035  0.0735  0.2365  0.0441  0.10
Duchoud 2007   33  0.5650  0.0024  0.0729  0.3228  0.3214  0.32
Ezaki 2006   3  0.6844  0.009  0.096  0.4850  0.0528  0.15
Falvay 1989   73  0.3916  0.0181  0.0282  0.0275  0.0477  0.03
Farrell 1958   72  0.3966  0.0078  0.0381  0.0387  0.0381  0.03
Ferenczy 1958   53  0.4928  0.0147  0.0466  0.0445  0.0759  0.05
Fliere 1977   6  0.675  0.064  0.213  0.5733  0.267  0.38
Fou 1978   28  0.5726  0.0128  0.0730  0.3249  0.0631  0.14
Francois 1956   47  0.5158  0.0063  0.0553  0.0567  0.0373  0.04
Friedman 1923   60  0.4729  0.0049  0.0646  0.0616  0.4127  0.16
Friedman 1923b   64  0.4652  0.0048  0.0472  0.0417  0.3938  0.12
Friedman 1930   35  0.5534  0.0038  0.0638  0.1834  0.2322  0.20
Garcia 2007   78  0.3571  0.0074  0.0458  0.0484  0.0383  0.03
Garcia 2007b   82  0.3070  0.0077  0.0283  0.0279  0.0390  0.02
Gierzod 1998   21  0.5951  0.0023  0.0819  0.3751  0.0532  0.14
Gornostaeva 1994   38  0.5381  0.0043  0.0740  0.1665  0.0348  0.07
Groot 1988   54  0.4960  0.0062  0.0464  0.0469  0.0472  0.04
Harasiewicz 1955   2  0.697  0.038  0.1110  0.4436  0.1618  0.27
Hatto 1993   57  0.4819  0.0114  0.0832  0.2854  0.0539  0.12
Hatto 1997   52  0.5021  0.0113  0.0627  0.3462  0.0436  0.12
Horowitz 1949   36  0.5442  0.0052  0.0463  0.0443  0.0952  0.06
Indjic 1988   55  0.4823  0.0112  0.0631  0.3052  0.0535  0.12
Kapell 1951   63  0.4662  0.0046  0.0552  0.0573  0.0467  0.04
Kissin 1993   11  0.6327  0.0115  0.067  0.4638  0.1419  0.25
Kushner 1989   14  0.6149  0.0019  0.089  0.4545  0.0725  0.18
Luisada 1991   50  0.5055  0.0058  0.0462  0.0484  0.0375  0.03
Lushtak 2004   18  0.6067  0.0029  0.0825  0.3564  0.0437  0.12
Malcuzynski 1961   42  0.5332  0.0044  0.0544  0.1069  0.0451  0.06
Magaloff 1978   67  0.4487  0.0067  0.0461  0.0476  0.0465  0.04
Magin 1975   51  0.5064  0.0042  0.0643  0.1370  0.0350  0.06
Michalowski 1933   46  0.5272  0.0050  0.0645  0.0656  0.0653  0.06
Milkina 1970   40  0.5315  0.0145  0.0647  0.0658  0.0556  0.05
Mohovich 1999   45  0.5282  0.0055  0.0551  0.0584  0.0371  0.04
Moravec 1969   71  0.4022  0.0175  0.0376  0.0365  0.0374  0.03
Morozova 2008   4  0.673  0.123  0.152  0.619  0.383  0.48
Neighaus 1950   25  0.5846  0.0026  0.0724  0.3552  0.0534  0.13
Niedzielski 1931   74  0.3943  0.0073  0.0469  0.0486  0.0379  0.03
Ohlsson 1999   22  0.5969  0.0021  0.0721  0.3637  0.1620  0.24
Osinska 1989   19  0.6053  0.0039  0.0639  0.1750  0.0542  0.09
Pachmann 1927   59  0.4765  0.0065  0.0465  0.0437  0.1346  0.07
Paderewski 1930   43  0.5233  0.0054  0.0468  0.0462  0.0468  0.04
Perlemuter 1992   15  0.6161  0.0036  0.1034  0.2640  0.1126  0.17
Pierdomenico 2008   76  0.3668  0.0076  0.0377  0.0384  0.0285  0.02
Poblocka 1999   24  0.5876  0.0016  0.0618  0.3832  0.1917  0.27
Rabcewiczowa 1932   56  0.4885  0.0071  0.0648  0.0686  0.0280  0.03
Rachmaninoff 1923   30  0.579  0.0241  0.0542  0.1471  0.0445  0.07
Rangell 2001   75  0.3831  0.0059  0.0474  0.0440  0.1644  0.08
Richter 1976   26  0.588  0.0233  0.0928  0.3317  0.4011  0.36
Rosen 1989   49  0.516  0.0311  0.0736  0.1865  0.0443  0.08
Rosenthal 1930   62  0.4641  0.0037  0.0641  0.1523  0.2824  0.20
Rosenthal 1931   85  0.2680  0.0079  0.0286  0.0281  0.0286  0.02
Rosenthal 1931b   87  0.2290  0.0086  0.0284  0.0279  0.0389  0.02
Rosenthal 1931c   77  0.3677  0.0069  0.0460  0.0440  0.1449  0.07
Rosenthal 1931d   86  0.2275  0.0087  0.0379  0.0388  0.0288  0.02
Rossi 2007   69  0.4283  0.0083  0.0288  0.0269  0.0476  0.03
Rubinstein 1939   84  0.2630  0.0085  0.0380  0.0381  0.0378  0.03
Rubinstein 1952   81  0.3159  0.0082  0.0475  0.0452  0.0661  0.05
Rubinstein 1966   66  0.4637  0.0061  0.0459  0.0464  0.0469  0.04
Schilhawsky 1960   13  0.6236  0.0020  0.0716  0.3833  0.3212  0.35
Shebanova 2002   27  0.5839  0.0027  0.0620  0.3743  0.1123  0.20
Smith 1975   34  0.5540  0.0051  0.0555  0.0582  0.0366  0.04
Sokolov 2002   31  0.5617  0.0122  0.0617  0.3831  0.3410  0.36
Sztompka 1959   9  0.6425  0.0117  0.1013  0.4034  0.2513  0.32
Tomsic 1995   61  0.4645  0.0064  0.0554  0.0545  0.0557  0.05
Uninsky 1932   7  0.6711  0.016  0.138  0.4515  0.484  0.46
Uninsky 1971   10  0.642  0.132  0.215  0.5416  0.432  0.48
Wasowski 1980   23  0.5810  0.0240  0.0737  0.1834  0.1329  0.15
Zak 1937   29  0.5738  0.0032  0.0926  0.3459  0.0533  0.13
Zak 1951   20  0.5914  0.0125  0.0714  0.3950  0.0630  0.15
Random 1   90  -0.0889  0.0090  0.0190  0.0111  0.4447  0.07
Random 2   88  0.0384  0.0088  0.0285  0.023  0.5640  0.11
Random 3   89  -0.0578  0.0089  0.0189  0.0116  0.3355  0.06

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).