Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   28  0.3945  0.0030  0.0826  0.4177  0.0333  0.11
Anderszewski 2003   16  0.4621  0.0017  0.1113  0.5953  0.0514  0.17
Ashkenazy 1981   36  0.3684  0.0035  0.0633  0.3186  0.0337  0.10
Bacha 2000   44  0.3525  0.0047  0.0648  0.0679  0.0448  0.05
Badura 1965   74  0.2734  0.0051  0.0458  0.0484  0.0382  0.03
Barbosa 1983   84  0.2255  0.0072  0.0370  0.0383  0.0476  0.03
Biret 1990   51  0.3446  0.0062  0.0461  0.0477  0.0460  0.04
Blet 2003   62  0.3168  0.0054  0.0367  0.0385  0.0378  0.03
Block 1995   45  0.3578  0.0041  0.0643  0.1570  0.0443  0.08
Blumental 1952   49  0.3456  0.0036  0.0737  0.2655  0.0436  0.10
Boshniakovich 1969   61  0.3185  0.0061  0.0457  0.0477  0.0459  0.04
Brailowsky 1960   7  0.4947  0.006  0.219  0.6517  0.525  0.58
Bunin 1987   63  0.3041  0.0066  0.0374  0.0383  0.0383  0.03
Bunin 1987b   65  0.3086  0.0067  0.0551  0.0577  0.0352  0.04
Chiu 1999   80  0.2442  0.0055  0.0462  0.0483  0.0366  0.03
Cohen 1997   66  0.3043  0.0038  0.0738  0.2524  0.317  0.28
Cortot 1951   56  0.3218  0.0080  0.0372  0.0379  0.0387  0.03
Csalog 1996   75  0.2748  0.0078  0.0377  0.0364  0.0477  0.03
Czerny 1949   43  0.3549  0.0042  0.0741  0.1966  0.0438  0.09
Czerny 1990   31  0.3879  0.0033  0.0828  0.3967  0.0428  0.12
Duchoud 2007   77  0.2769  0.0083  0.0376  0.0388  0.0381  0.03
Ezaki 2006   14  0.466  0.0011  0.147  0.6757  0.059  0.18
Falvay 1989   20  0.4326  0.0019  0.1117  0.5668  0.0512  0.17
Farrell 1958   41  0.3511  0.0046  0.0646  0.0676  0.0351  0.04
Ferenczy 1958   50  0.347  0.0058  0.0453  0.0450  0.0556  0.04
Fliere 1977   21  0.4270  0.0028  0.0824  0.4575  0.0422  0.13
Fou 1978   19  0.4410  0.0014  0.126  0.6753  0.068  0.20
Francois 1956   39  0.3587  0.0040  0.0740  0.2187  0.0344  0.08
Friedman 1923   85  0.2214  0.0085  0.0466  0.0480  0.0461  0.04
Friedman 1923b   86  0.2258  0.0084  0.0289  0.0254  0.0584  0.03
Friedman 1930   78  0.2619  0.0068  0.0379  0.0383  0.0379  0.03
Garcia 2007   83  0.2337  0.0087  0.0454  0.0468  0.0458  0.04
Garcia 2007b   87  0.2271  0.0082  0.0385  0.0384  0.0388  0.03
Gierzod 1998   10  0.4720  0.0018  0.1616  0.5667  0.0419  0.15
Gornostaeva 1994   6  0.4972  0.0010  0.1510  0.6553  0.0511  0.18
Groot 1988   30  0.3859  0.0020  0.1422  0.4884  0.0329  0.12
Harasiewicz 1955   33  0.3760  0.0025  0.1125  0.4581  0.0330  0.12
Hatto 1993   71  0.2788  0.0069  0.0382  0.0384  0.0386  0.03
Hatto 1997   69  0.2989  0.0059  0.0452  0.0488  0.0380  0.03
Horowitz 1949   54  0.3390  0.0048  0.0647  0.0664  0.0449  0.05
Indjic 1988   76  0.278  0.0073  0.0384  0.0386  0.0375  0.03
Kapell 1951   34  0.3761  0.0057  0.0455  0.0487  0.0368  0.03
Kissin 1993   27  0.3957  0.0026  0.0831  0.3479  0.0335  0.10
Kushner 1989   9  0.4713  0.0015  0.1127  0.4178  0.0332  0.11
Luisada 1991   42  0.3550  0.0052  0.0371  0.0385  0.0362  0.03
Lushtak 2004   58  0.3216  0.0032  0.0636  0.2777  0.0340  0.09
Malcuzynski 1961   12  0.4780  0.0021  0.1415  0.5778  0.0323  0.13
Magaloff 1978   8  0.4933  0.008  0.1612  0.6462  0.0415  0.16
Magin 1975   17  0.4551  0.0022  0.1721  0.4986  0.0324  0.12
Michalowski 1933   82  0.2362  0.0086  0.0378  0.0385  0.0374  0.03
Milkina 1970   13  0.4763  0.0016  0.1118  0.5667  0.0513  0.17
Mohovich 1999   22  0.429  0.0023  0.1320  0.5085  0.0327  0.12
Moravec 1969   15  0.4617  0.007  0.1514  0.5821  0.346  0.44
Morozova 2008   26  0.4029  0.0024  0.0919  0.5367  0.0418  0.15
Neighaus 1950   53  0.3391  0.0060  0.0456  0.0484  0.0385  0.03
Niedzielski 1931   46  0.3527  0.0039  0.0935  0.2852  0.0431  0.11
Ohlsson 1999   52  0.3328  0.0063  0.0549  0.0580  0.0455  0.04
Osinska 1989   40  0.3530  0.0056  0.0463  0.0484  0.0364  0.03
Pachmann 1927   72  0.2738  0.0076  0.0383  0.0376  0.0472  0.03
Paderewski 1930   70  0.2873  0.0077  0.0381  0.0380  0.0371  0.03
Perlemuter 1992   55  0.3315  0.0044  0.0644  0.1283  0.0346  0.06
Pierdomenico 2008   79  0.2652  0.0081  0.0373  0.0379  0.0367  0.03
Poblocka 1999   47  0.3481  0.0074  0.0380  0.0380  0.0465  0.03
Rabcewiczowa 1932   29  0.3939  0.0012  0.1423  0.4559  0.0517  0.15
Rachmaninoff 1923   18  0.4422  0.009  0.178  0.6657  0.0510  0.18
Rangell 2001   38  0.3682  0.0045  0.0645  0.1184  0.0347  0.06
Richter 1976   68  0.2935  0.0075  0.0375  0.0381  0.0370  0.03
Rosen 1989   23  0.4123  0.0029  0.1034  0.3083  0.0341  0.09
Rosenthal 1930   4  0.694  0.004  0.824  0.913  0.894  0.90
Rosenthal 1931   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931b   1  0.931  0.971  0.961  0.991  0.991  0.99
Rosenthal 1931c   3  0.813  0.003  0.893  0.972  0.963  0.96
Rosenthal 1931d   2  0.872  0.022  0.892  0.982  0.982  0.98
Rossi 2007   81  0.2336  0.0064  0.0459  0.0461  0.0550  0.04
Rubinstein 1939   32  0.3853  0.0037  0.0739  0.2444  0.1016  0.15
Rubinstein 1952   35  0.3654  0.0027  0.1129  0.3853  0.0620  0.15
Rubinstein 1966   25  0.4064  0.0031  0.0630  0.3576  0.0425  0.12
Schilhawsky 1960   37  0.3665  0.0043  0.0742  0.1668  0.0442  0.08
Shebanova 2002   67  0.3074  0.0079  0.0460  0.0483  0.0457  0.04
Smith 1975   11  0.4712  0.0013  0.1511  0.6572  0.0321  0.14
Sokolov 2002   24  0.4075  0.0034  0.0732  0.3176  0.0334  0.10
Sztompka 1959   60  0.3183  0.0065  0.0464  0.0483  0.0373  0.03
Tomsic 1995   59  0.3240  0.0049  0.0465  0.0466  0.0554  0.04
Uninsky 1932   73  0.275  0.0071  0.0286  0.0281  0.0390  0.02
Uninsky 1971   64  0.3066  0.0070  0.0288  0.0282  0.0389  0.02
Wasowski 1980   88  0.2024  0.0088  0.0368  0.0378  0.0463  0.03
Zak 1937   57  0.3267  0.0053  0.0369  0.0383  0.0369  0.03
Zak 1951   48  0.3444  0.0050  0.0550  0.0584  0.0353  0.04
Average   5  0.5531  0.005  0.315  0.7488  0.0226  0.12
Random 1   90  -0.0476  0.0090  0.0290  0.0223  0.2745  0.07
Random 2   89  0.0077  0.0089  0.0287  0.027  0.4539  0.09
Random 3   91  -0.0932  0.0091  0.0191  0.0191  0.0191  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).