Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   21  0.5238  0.0021  0.1017  0.3429  0.3617  0.35
Anderszewski 2003   4  0.6256  0.003  0.2712  0.432  0.627  0.52
Ashkenazy 1981   3  0.6361  0.006  0.163  0.548  0.554  0.54
Bacha 2000   34  0.4948  0.0057  0.0467  0.0416  0.4643  0.14
Badura 1965   53  0.4485  0.0058  0.0558  0.0516  0.4244  0.14
Barbosa 1983   46  0.4778  0.0044  0.0541  0.1129  0.2937  0.18
Biret 1990   9  0.563  0.0014  0.109  0.4611  0.519  0.48
Blet 2003   28  0.5032  0.0035  0.0828  0.2320  0.3823  0.30
Block 1995   85  0.2947  0.0081  0.0470  0.0476  0.0388  0.03
Blumental 1952   22  0.528  0.0030  0.0627  0.259  0.3821  0.31
Boshniakovich 1969   57  0.4262  0.0064  0.0649  0.0643  0.1262  0.08
Brailowsky 1960   63  0.4082  0.0079  0.0472  0.0458  0.0578  0.04
Bunin 1987   45  0.4763  0.0046  0.0648  0.0617  0.4239  0.16
Bunin 1987b   48  0.4786  0.0045  0.0553  0.0515  0.4341  0.15
Chiu 1999   31  0.5028  0.0042  0.0540  0.1127  0.3634  0.20
Cohen 1997   62  0.4066  0.0075  0.0476  0.0417  0.4149  0.13
Cortot 1951   65  0.4039  0.0066  0.0845  0.0830  0.2345  0.14
Csalog 1996   77  0.3557  0.0067  0.0562  0.0535  0.2355  0.11
Czerny 1949   35  0.4915  0.0023  0.0624  0.2822  0.4316  0.35
Czerny 1990   23  0.5225  0.0033  0.0631  0.2146  0.0752  0.12
Duchoud 2007   24  0.5272  0.0025  0.0521  0.3214  0.4514  0.38
Ezaki 2006   11  0.566  0.0022  0.0715  0.3533  0.2426  0.29
Falvay 1989   59  0.4122  0.0072  0.0473  0.0452  0.0670  0.05
Farrell 1958   41  0.4879  0.0036  0.0442  0.1067  0.0465  0.06
Ferenczy 1958   40  0.4843  0.0024  0.0635  0.1712  0.4330  0.27
Fliere 1977   12  0.5529  0.0018  0.0614  0.3641  0.1531  0.23
Fou 1978   39  0.4916  0.0052  0.0471  0.0441  0.1363  0.07
Francois 1956   72  0.3758  0.0068  0.0479  0.0444  0.0968  0.06
Friedman 1923   50  0.4673  0.0061  0.0561  0.0524  0.3153  0.12
Friedman 1923b   49  0.4683  0.0050  0.0465  0.0422  0.3356  0.11
Friedman 1930   36  0.4930  0.0034  0.0637  0.1411  0.5129  0.27
Garcia 2007   75  0.3649  0.0074  0.0475  0.0447  0.0674  0.05
Garcia 2007b   67  0.4017  0.0062  0.0554  0.0513  0.4342  0.15
Gierzod 1998   10  0.5644  0.0010  0.095  0.5317  0.488  0.50
Gornostaeva 1994   68  0.3941  0.0071  0.0477  0.0469  0.0482  0.04
Groot 1988   56  0.4218  0.0054  0.0746  0.0756  0.0477  0.05
Harasiewicz 1955   30  0.5059  0.0011  0.0911  0.4530  0.2718  0.35
Hatto 1993   2  0.952  0.022  0.962  0.992  0.992  0.99
Hatto 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Horowitz 1949   58  0.4245  0.0056  0.0552  0.0534  0.3546  0.13
Indjic 1988   1  0.971  0.961  0.951  0.992  0.991  0.99
Kapell 1951   15  0.5320  0.009  0.107  0.4917  0.3911  0.44
Kissin 1993   52  0.4535  0.0053  0.0559  0.0537  0.1861  0.09
Kushner 1989   42  0.4836  0.0060  0.0563  0.0567  0.0573  0.05
Luisada 1991   5  0.6167  0.005  0.148  0.477  0.595  0.53
Lushtak 2004   8  0.5631  0.0019  0.0922  0.3022  0.4515  0.37
Malcuzynski 1961   66  0.4037  0.0038  0.0543  0.0940  0.1650  0.12
Magaloff 1978   54  0.4326  0.0017  0.0838  0.1434  0.1938  0.16
Magin 1975   16  0.5327  0.0012  0.0918  0.3321  0.3620  0.34
Michalowski 1933   78  0.3542  0.0059  0.0557  0.0535  0.2654  0.11
Milkina 1970   38  0.4933  0.0037  0.0539  0.1164  0.0564  0.07
Mohovich 1999   51  0.4551  0.0051  0.0469  0.0434  0.2759  0.10
Moravec 1969   74  0.3664  0.0076  0.0385  0.0362  0.0485  0.03
Morozova 2008   13  0.5452  0.0013  0.1226  0.2726  0.2728  0.27
Neighaus 1950   17  0.5274  0.0027  0.0919  0.3227  0.2825  0.30
Niedzielski 1931   70  0.3811  0.0039  0.0544  0.0933  0.2440  0.15
Ohlsson 1999   6  0.6168  0.004  0.164  0.538  0.536  0.53
Osinska 1989   37  0.4921  0.0041  0.0532  0.1835  0.2333  0.20
Pachmann 1927   81  0.3180  0.0082  0.0382  0.0360  0.0581  0.04
Paderewski 1930   71  0.3765  0.0069  0.0560  0.0528  0.2257  0.10
Perlemuter 1992   73  0.3789  0.0077  0.0386  0.0371  0.0486  0.03
Pierdomenico 2008   79  0.3319  0.0078  0.0474  0.0457  0.0671  0.05
Poblocka 1999   26  0.5113  0.008  0.0910  0.4618  0.4112  0.43
Rabcewiczowa 1932   64  0.4023  0.0063  0.0464  0.0451  0.0672  0.05
Rachmaninoff 1923   47  0.4724  0.0048  0.0647  0.0657  0.0569  0.05
Rangell 2001   82  0.3069  0.0080  0.0384  0.0341  0.1366  0.06
Richter 1976   60  0.4170  0.0065  0.0650  0.0634  0.2747  0.13
Rosen 1989   44  0.4887  0.0049  0.0555  0.0532  0.2258  0.10
Rosenthal 1930   69  0.387  0.0073  0.0478  0.0446  0.0775  0.05
Rosenthal 1931   83  0.2984  0.0085  0.0387  0.0351  0.0487  0.03
Rosenthal 1931b   84  0.2953  0.0086  0.0466  0.0462  0.0483  0.04
Rosenthal 1931c   80  0.3346  0.0083  0.0468  0.0458  0.0484  0.04
Rosenthal 1931d   86  0.2890  0.0084  0.0383  0.0345  0.0776  0.05
Rossi 2007   87  0.1788  0.0087  0.0480  0.0467  0.0479  0.04
Rubinstein 1939   14  0.5460  0.0029  0.0730  0.225  0.5219  0.34
Rubinstein 1952   76  0.3612  0.0055  0.0556  0.0549  0.0767  0.06
Rubinstein 1966   7  0.589  0.0016  0.0916  0.3520  0.4613  0.40
Schilhawsky 1960   20  0.5210  0.0015  0.1013  0.4214  0.5210  0.47
Shebanova 2002   32  0.5034  0.0020  0.0725  0.2830  0.3224  0.30
Smith 1975   27  0.5054  0.0028  0.0623  0.3044  0.1435  0.20
Sokolov 2002   18  0.5214  0.0026  0.0820  0.3232  0.2627  0.29
Sztompka 1959   43  0.4871  0.0032  0.0536  0.1661  0.0560  0.09
Tomsic 1995   61  0.414  0.0070  0.0381  0.0348  0.0680  0.04
Uninsky 1932   55  0.4355  0.0047  0.0651  0.0633  0.2551  0.12
Uninsky 1971   19  0.5275  0.007  0.146  0.503  0.583  0.54
Wasowski 1980   29  0.505  0.0031  0.0629  0.2318  0.4022  0.30
Zak 1937   25  0.5176  0.0043  0.0834  0.1735  0.2732  0.21
Zak 1951   33  0.5040  0.0040  0.0433  0.1835  0.2336  0.20
Random 1   90  -0.0850  0.0090  0.0190  0.0175  0.0290  0.01
Random 2   88  0.0377  0.0088  0.0388  0.031  0.5648  0.13
Random 3   89  -0.0281  0.0089  0.0289  0.0250  0.0489  0.03

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).