Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   39  0.3917  0.0060  0.0646  0.0678  0.0360  0.04
Anderszewski 2003   23  0.4313  0.0017  0.0925  0.3070  0.0337  0.09
Ashkenazy 1981   40  0.3933  0.0058  0.0552  0.0570  0.0464  0.04
Bacha 2000   22  0.4337  0.0028  0.0724  0.3263  0.0522  0.13
Badura 1965   79  0.2832  0.0068  0.0386  0.0380  0.0383  0.03
Barbosa 1983   26  0.4240  0.0027  0.0729  0.2862  0.0525  0.12
Biret 1990   12  0.4930  0.0015  0.1613  0.4453  0.0615  0.16
Blet 2003   53  0.3787  0.0063  0.0558  0.0579  0.0358  0.04
Block 1995   81  0.2773  0.0049  0.0553  0.0587  0.0284  0.03
Blumental 1952   27  0.4244  0.0026  0.0731  0.2780  0.0338  0.09
Boshniakovich 1969   63  0.3490  0.0048  0.0648  0.0682  0.0363  0.04
Brailowsky 1960   16  0.4625  0.0021  0.1118  0.4033  0.326  0.36
Bunin 1987   70  0.3224  0.0082  0.0475  0.0485  0.0385  0.03
Bunin 1987b   73  0.317  0.0183  0.0465  0.0486  0.0372  0.03
Chiu 1999   41  0.3948  0.0033  0.0733  0.2681  0.0336  0.09
Cohen 1997   21  0.4434  0.007  0.1914  0.438  0.514  0.47
Cortot 1951   67  0.3284  0.0076  0.0472  0.0485  0.0388  0.03
Csalog 1996   32  0.4143  0.0011  0.1223  0.3232  0.288  0.30
Czerny 1949   36  0.4020  0.0041  0.0539  0.1670  0.0440  0.08
Czerny 1990   28  0.4260  0.0040  0.0537  0.1776  0.0343  0.07
Duchoud 2007   46  0.3854  0.0062  0.0563  0.0562  0.0461  0.04
Ezaki 2006   38  0.4080  0.0059  0.0550  0.0587  0.0352  0.04
Falvay 1989   17  0.4621  0.0019  0.0820  0.3649  0.0714  0.16
Farrell 1958   7  0.5241  0.0010  0.1810  0.4624  0.325  0.38
Ferenczy 1958   69  0.3242  0.0080  0.0387  0.0371  0.0378  0.03
Fliere 1977   15  0.4774  0.0022  0.1215  0.4257  0.0519  0.14
Fou 1978   10  0.5019  0.005  0.195  0.5541  0.1410  0.28
Francois 1956   64  0.3446  0.0065  0.0476  0.0467  0.0389  0.03
Friedman 1923   86  0.1988  0.0088  0.0378  0.0383  0.0390  0.03
Friedman 1923b   84  0.1989  0.0087  0.0380  0.0383  0.0386  0.03
Friedman 1930   85  0.1955  0.0085  0.0288  0.0276  0.0477  0.03
Garcia 2007   82  0.2664  0.0070  0.0385  0.0366  0.0481  0.03
Garcia 2007b   72  0.3252  0.0043  0.0640  0.1473  0.0445  0.07
Gierzod 1998   29  0.4258  0.0042  0.0538  0.1679  0.0342  0.07
Gornostaeva 1994   42  0.3957  0.0016  0.0735  0.2154  0.0534  0.10
Groot 1988   45  0.386  0.0136  0.0736  0.1880  0.0344  0.07
Harasiewicz 1955   60  0.3515  0.0051  0.0555  0.0576  0.0365  0.04
Hatto 1993   8  0.5126  0.009  0.158  0.4942  0.1211  0.24
Hatto 1997   5  0.543  0.106  0.196  0.5231  0.227  0.34
Horowitz 1949   66  0.3311  0.0177  0.0562  0.0557  0.0550  0.05
Indjic 1988   6  0.5236  0.008  0.147  0.4937  0.179  0.29
Kapell 1951   30  0.4227  0.0038  0.0442  0.1285  0.0347  0.06
Kissin 1993   37  0.4039  0.0031  0.0830  0.2863  0.0524  0.12
Kushner 1989   19  0.4538  0.0029  0.0717  0.4077  0.0330  0.11
Luisada 1991   9  0.5175  0.0014  0.1011  0.4650  0.0612  0.17
Lushtak 2004   35  0.4078  0.0032  0.0728  0.2969  0.0432  0.11
Malcuzynski 1961   68  0.3268  0.0069  0.0561  0.0581  0.0357  0.04
Magaloff 1978   31  0.4279  0.0034  0.0734  0.2453  0.0529  0.11
Magin 1975   51  0.3728  0.0037  0.0545  0.0955  0.0541  0.07
Michalowski 1933   88  0.1481  0.0086  0.0382  0.0375  0.0475  0.03
Milkina 1970   3  0.574  0.073  0.523  0.709  0.543  0.61
Mohovich 1999   25  0.4285  0.0035  0.0826  0.3075  0.0339  0.09
Moravec 1969   34  0.4110  0.0139  0.0441  0.1376  0.0346  0.06
Morozova 2008   11  0.509  0.0112  0.119  0.4748  0.0613  0.17
Neighaus 1950   55  0.3647  0.0061  0.0559  0.0586  0.0287  0.03
Niedzielski 1931   65  0.3316  0.0064  0.0556  0.0587  0.0270  0.03
Ohlsson 1999   14  0.4712  0.0024  0.0727  0.2961  0.0431  0.11
Osinska 1989   20  0.4476  0.0013  0.1112  0.4460  0.0516  0.15
Pachmann 1927   61  0.3553  0.0044  0.0643  0.1141  0.1720  0.14
Paderewski 1930   77  0.2970  0.0073  0.0477  0.0488  0.0373  0.03
Perlemuter 1992   71  0.3256  0.0074  0.0468  0.0468  0.0453  0.04
Pierdomenico 2008   80  0.2831  0.0071  0.0470  0.0474  0.0456  0.04
Poblocka 1999   49  0.3718  0.0053  0.0549  0.0584  0.0454  0.04
Rabcewiczowa 1932   59  0.3565  0.0050  0.0467  0.0485  0.0371  0.03
Rachmaninoff 1923   47  0.388  0.0155  0.0471  0.0481  0.0369  0.03
Rangell 2001   56  0.3651  0.0018  0.0832  0.2755  0.0527  0.12
Richter 1976   75  0.3035  0.0066  0.0379  0.0345  0.1248  0.06
Rosen 1989   50  0.3761  0.0054  0.0560  0.0574  0.0362  0.04
Rosenthal 1930   74  0.3159  0.0078  0.0469  0.0486  0.0282  0.03
Rosenthal 1931   48  0.3882  0.0045  0.0544  0.1039  0.2418  0.15
Rosenthal 1931b   57  0.3583  0.0056  0.0466  0.0451  0.0566  0.04
Rosenthal 1931c   54  0.3629  0.0057  0.0647  0.0668  0.0451  0.05
Rosenthal 1931d   52  0.3763  0.0052  0.0554  0.0536  0.2035  0.10
Rossi 2007   87  0.1886  0.0079  0.0383  0.0386  0.0368  0.03
Rubinstein 1939   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1952   2  0.631  0.471  0.461  0.745  0.681  0.71
Rubinstein 1966   1  0.682  0.232  0.542  0.736  0.672  0.70
Schilhawsky 1960   76  0.3066  0.0075  0.0564  0.0586  0.0359  0.04
Shebanova 2002   33  0.4167  0.0020  0.1021  0.3475  0.0426  0.12
Smith 1975   43  0.3971  0.0046  0.0551  0.0583  0.0355  0.04
Sokolov 2002   58  0.3562  0.0067  0.0381  0.0382  0.0367  0.03
Sztompka 1959   62  0.3423  0.0072  0.0474  0.0484  0.0374  0.03
Tomsic 1995   44  0.3869  0.0047  0.0557  0.0560  0.0549  0.05
Uninsky 1932   83  0.2645  0.0084  0.0473  0.0487  0.0379  0.03
Uninsky 1971   78  0.2949  0.0081  0.0384  0.0386  0.0376  0.03
Wasowski 1980   24  0.4322  0.0030  0.0722  0.3269  0.0428  0.11
Zak 1937   13  0.4714  0.0023  0.0916  0.4046  0.0617  0.15
Zak 1951   18  0.4572  0.0025  0.0619  0.3968  0.0423  0.12
Average   4  0.565  0.024  0.224  0.6386  0.0321  0.14
Random 1   89  0.0077  0.0089  0.0289  0.024  0.4833  0.10
Random 2   90  -0.0250  0.0090  0.0290  0.0258  0.0480  0.03
Random 3   91  -0.0791  0.0091  0.0191  0.0186  0.0291  0.01

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).