Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   40  0.4586  0.0060  0.0460  0.0470  0.0385  0.03
Anderszewski 2003   17  0.5413  0.017  0.119  0.5024  0.397  0.44
Ashkenazy 1981   39  0.4553  0.0033  0.0635  0.1951  0.0543  0.10
Bacha 2000   52  0.4374  0.0037  0.0638  0.1636  0.2525  0.20
Badura 1965   60  0.4148  0.0064  0.0374  0.0364  0.0573  0.04
Barbosa 1983   68  0.3746  0.0055  0.0552  0.0577  0.0468  0.04
Biret 1990   47  0.4442  0.0058  0.0553  0.0559  0.0563  0.05
Blet 2003   50  0.4322  0.0049  0.0647  0.0634  0.1939  0.11
Block 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Blumental 1952   82  0.3219  0.0138  0.0642  0.1158  0.0453  0.07
Boshniakovich 1969   2  0.5818  0.014  0.185  0.6312  0.541  0.58
Brailowsky 1960   14  0.553  0.0711  0.1215  0.4419  0.484  0.46
Bunin 1987   70  0.3664  0.0084  0.0381  0.0363  0.0487  0.03
Bunin 1987b   72  0.3570  0.0085  0.0284  0.0268  0.0480  0.03
Chiu 1999   54  0.4240  0.0054  0.0554  0.0558  0.0558  0.05
Cohen 1997   88  0.2658  0.0066  0.0468  0.0468  0.0474  0.04
Cortot 1951   45  0.4431  0.0065  0.0458  0.0441  0.1455  0.07
Csalog 1996   74  0.3555  0.0077  0.0288  0.0269  0.0483  0.03
Czerny 1949   66  0.3887  0.0074  0.0285  0.0282  0.0389  0.02
Czerny 1990   29  0.4951  0.0043  0.0444  0.0977  0.0362  0.05
Duchoud 2007   73  0.3588  0.0083  0.0382  0.0384  0.0386  0.03
Ezaki 2006   21  0.5220  0.0029  0.0831  0.2360  0.0538  0.11
Falvay 1989   25  0.5129  0.0031  0.0729  0.2643  0.1429  0.19
Farrell 1958   46  0.4481  0.0036  0.0634  0.2036  0.1730  0.18
Ferenczy 1958   43  0.4467  0.0067  0.0461  0.0440  0.1650  0.08
Fliere 1977   3  0.5811  0.023  0.162  0.6940  0.259  0.42
Fou 1978   11  0.569  0.0210  0.108  0.5028  0.378  0.43
Francois 1956   67  0.3883  0.0082  0.0286  0.0288  0.0290  0.02
Friedman 1923   81  0.3279  0.0071  0.0467  0.0431  0.2047  0.09
Friedman 1923b   80  0.3354  0.0070  0.0372  0.0333  0.2151  0.08
Friedman 1930   77  0.3449  0.0072  0.0378  0.0366  0.0570  0.04
Garcia 2007   53  0.4366  0.0046  0.0456  0.0411  0.5136  0.14
Garcia 2007b   84  0.3073  0.0069  0.0376  0.0340  0.1157  0.06
Gierzod 1998   38  0.4665  0.0034  0.0633  0.2059  0.0542  0.10
Gornostaeva 1994   8  0.5732  0.008  0.1116  0.4227  0.3611  0.39
Groot 1988   7  0.574  0.045  0.117  0.5121  0.425  0.46
Harasiewicz 1955   5  0.582  0.082  0.203  0.6727  0.343  0.48
Hatto 1993   83  0.3159  0.0073  0.0469  0.0471  0.0475  0.04
Hatto 1997   86  0.2971  0.0076  0.0377  0.0371  0.0484  0.03
Horowitz 1949   36  0.4745  0.0040  0.0537  0.1737  0.3421  0.24
Indjic 1988   85  0.3076  0.0075  0.0375  0.0384  0.0382  0.03
Kapell 1951   34  0.478  0.0224  0.0832  0.2170  0.0444  0.09
Kissin 1993   10  0.5621  0.0019  0.1119  0.3843  0.1127  0.20
Kushner 1989   9  0.5625  0.009  0.126  0.5635  0.2313  0.36
Luisada 1991   26  0.5033  0.0030  0.0822  0.3444  0.1423  0.22
Lushtak 2004   42  0.4434  0.0053  0.0549  0.0547  0.0756  0.06
Malcuzynski 1961   16  0.5524  0.0018  0.0921  0.3636  0.2117  0.27
Magaloff 1978   19  0.5438  0.0022  0.0823  0.3334  0.2118  0.26
Magin 1975   28  0.4950  0.0026  0.0827  0.2642  0.1133  0.17
Michalowski 1933   78  0.3469  0.0068  0.0459  0.0463  0.0567  0.04
Milkina 1970   23  0.5289  0.0023  0.0924  0.3242  0.1524  0.22
Mohovich 1999   4  0.587  0.026  0.144  0.6418  0.532  0.58
Moravec 1969   61  0.4114  0.0156  0.0457  0.0479  0.0377  0.03
Morozova 2008   41  0.4578  0.0048  0.0551  0.0565  0.0469  0.04
Neighaus 1950   22  0.5212  0.0113  0.1110  0.4830  0.2314  0.33
Niedzielski 1931   56  0.4239  0.0045  0.0545  0.0931  0.3132  0.17
Ohlsson 1999   59  0.4135  0.0061  0.0463  0.0481  0.0381  0.03
Osinska 1989   6  0.5715  0.0120  0.1011  0.4743  0.1916  0.30
Pachmann 1927   64  0.3972  0.0079  0.0380  0.0348  0.0759  0.05
Paderewski 1930   63  0.4037  0.0057  0.0462  0.0462  0.0466  0.04
Perlemuter 1992   20  0.5316  0.0116  0.1013  0.4515  0.446  0.44
Pierdomenico 2008   62  0.4080  0.0044  0.0543  0.1053  0.0748  0.08
Poblocka 1999   12  0.555  0.0417  0.0912  0.4644  0.1222  0.23
Rabcewiczowa 1932   58  0.4162  0.0063  0.0371  0.0361  0.0565  0.04
Rachmaninoff 1923   48  0.4452  0.0047  0.0550  0.0573  0.0464  0.04
Rangell 2001   30  0.496  0.0414  0.1118  0.4118  0.3712  0.39
Richter 1976   13  0.5526  0.0025  0.0926  0.2728  0.3515  0.31
Rosen 1989   15  0.5517  0.0112  0.1114  0.4524  0.3910  0.42
Rosenthal 1930   71  0.3556  0.0088  0.0464  0.0468  0.0472  0.04
Rosenthal 1931   76  0.3584  0.0081  0.0470  0.0443  0.1549  0.08
Rosenthal 1931b   79  0.3391  0.0086  0.0383  0.0348  0.0676  0.04
Rosenthal 1931c   75  0.3585  0.0087  0.0373  0.0372  0.0488  0.03
Rosenthal 1931d   69  0.3782  0.0080  0.0379  0.0339  0.1854  0.07
Rossi 2007   65  0.3844  0.0052  0.0555  0.0520  0.3834  0.14
Rubinstein 1939   87  0.2763  0.0078  0.0287  0.0253  0.0579  0.03
Rubinstein 1952   51  0.4310  0.0232  0.0639  0.1636  0.2031  0.18
Rubinstein 1966   44  0.4428  0.0039  0.0541  0.1355  0.0741  0.10
Schilhawsky 1960   57  0.4257  0.0051  0.0646  0.0645  0.1445  0.09
Shebanova 2002   18  0.5423  0.0021  0.1017  0.4269  0.0535  0.14
Smith 1975   27  0.5077  0.0027  0.0825  0.2956  0.0537  0.12
Sokolov 2002   55  0.4241  0.0059  0.0466  0.0472  0.0378  0.03
Sztompka 1959   31  0.4927  0.0015  0.1020  0.3734  0.1720  0.25
Tomsic 1995   24  0.5243  0.0028  0.0730  0.2329  0.2819  0.25
Uninsky 1932   49  0.4330  0.0062  0.0465  0.0462  0.0571  0.04
Uninsky 1971   37  0.4660  0.0050  0.0648  0.0658  0.0560  0.05
Wasowski 1980   32  0.4947  0.0035  0.0728  0.2638  0.1626  0.20
Zak 1937   35  0.4736  0.0042  0.0540  0.1368  0.0452  0.07
Zak 1951   33  0.4761  0.0041  0.0536  0.1959  0.0540  0.10
Average   1  0.651  0.481  0.481  0.8362  0.0528  0.20
Random 1   90  -0.0390  0.0089  0.0289  0.026  0.4346  0.09
Random 2   91  -0.0875  0.0091  0.0191  0.0181  0.0291  0.01
Random 3   89  -0.0168  0.0090  0.0290  0.0232  0.1561  0.05

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).