Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   51  0.3739  0.0046  0.0558  0.0576  0.0362  0.04
Anderszewski 2003   21  0.4185  0.0017  0.0813  0.4678  0.0318  0.12
Ashkenazy 1981   17  0.4178  0.0028  0.0734  0.2181  0.0338  0.08
Bacha 2000   59  0.3528  0.0065  0.0376  0.0372  0.0466  0.03
Badura 1965   87  0.2556  0.0080  0.0381  0.0385  0.0380  0.03
Barbosa 1983   70  0.3233  0.0061  0.0469  0.0461  0.0558  0.04
Biret 1990   23  0.4153  0.0029  0.0626  0.2782  0.0331  0.09
Blet 2003   49  0.3714  0.0051  0.0654  0.0676  0.0451  0.05
Block 1995   14  0.436  0.015  0.1511  0.5156  0.0415  0.14
Blumental 1952   38  0.398  0.0131  0.0730  0.2177  0.0337  0.08
Boshniakovich 1969   4  0.492  0.053  0.294  0.7137  0.232  0.40
Brailowsky 1960   69  0.3276  0.0081  0.0470  0.0481  0.0368  0.03
Bunin 1987   67  0.3352  0.0072  0.0467  0.0482  0.0383  0.03
Bunin 1987b   66  0.3463  0.0071  0.0379  0.0382  0.0373  0.03
Chiu 1999   45  0.3811  0.0039  0.0541  0.1479  0.0345  0.06
Cohen 1997   84  0.2724  0.0079  0.0385  0.0363  0.0482  0.03
Cortot 1951   52  0.3784  0.0057  0.0649  0.0668  0.0455  0.05
Csalog 1996   79  0.2817  0.0059  0.0559  0.0581  0.0360  0.04
Czerny 1949   76  0.3171  0.0073  0.0463  0.0479  0.0378  0.03
Czerny 1990   36  0.3982  0.0050  0.0650  0.0671  0.0454  0.05
Duchoud 2007   30  0.4057  0.0042  0.0637  0.1860  0.0436  0.08
Ezaki 2006   65  0.3487  0.0076  0.0375  0.0371  0.0465  0.03
Falvay 1989   74  0.3174  0.0070  0.0383  0.0372  0.0470  0.03
Farrell 1958   24  0.4118  0.0016  0.0814  0.4343  0.136  0.24
Ferenczy 1958   73  0.3167  0.0078  0.0460  0.0479  0.0277  0.03
Fliere 1977   3  0.5113  0.004  0.273  0.7455  0.057  0.19
Fou 1978   25  0.4048  0.0043  0.0542  0.1373  0.0443  0.07
Francois 1956   81  0.2880  0.0074  0.0462  0.0480  0.0388  0.03
Friedman 1923   61  0.3516  0.0064  0.0378  0.0352  0.0664  0.04
Friedman 1923b   58  0.3543  0.0063  0.0377  0.0365  0.0563  0.04
Friedman 1930   62  0.3530  0.0067  0.0374  0.0362  0.0561  0.04
Garcia 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Garcia 2007b   1  0.621  0.821  0.811  0.901  0.871  0.88
Gierzod 1998   28  0.4047  0.0018  0.0717  0.3676  0.0327  0.10
Gornostaeva 1994   44  0.3859  0.0055  0.0655  0.0688  0.0284  0.03
Groot 1988   56  0.3646  0.0019  0.0732  0.2176  0.0340  0.08
Harasiewicz 1955   10  0.445  0.019  0.2110  0.5669  0.0414  0.15
Hatto 1993   29  0.4031  0.0032  0.0625  0.2754  0.0617  0.13
Hatto 1997   55  0.3679  0.0053  0.0648  0.0676  0.0452  0.05
Horowitz 1949   57  0.3583  0.0066  0.0465  0.0475  0.0374  0.03
Indjic 1988   35  0.3968  0.0033  0.0829  0.2560  0.0524  0.11
Kapell 1951   9  0.4412  0.0012  0.215  0.6272  0.0412  0.16
Kissin 1993   54  0.3664  0.0062  0.0464  0.0485  0.0376  0.03
Kushner 1989   8  0.4420  0.008  0.159  0.5967  0.0510  0.17
Luisada 1991   16  0.4188  0.0040  0.0540  0.1581  0.0341  0.07
Lushtak 2004   31  0.4072  0.0045  0.0545  0.0980  0.0353  0.05
Malcuzynski 1961   40  0.3835  0.0036  0.0735  0.2183  0.0333  0.08
Magaloff 1978   63  0.3455  0.0068  0.0471  0.0483  0.0369  0.03
Magin 1975   33  0.3989  0.0041  0.0538  0.1687  0.0342  0.07
Michalowski 1933   53  0.3640  0.0049  0.0557  0.0553  0.0649  0.05
Milkina 1970   68  0.3365  0.0058  0.0652  0.0687  0.0357  0.04
Mohovich 1999   6  0.4532  0.0011  0.188  0.6155  0.069  0.19
Moravec 1969   75  0.3141  0.0069  0.0386  0.0385  0.0367  0.03
Morozova 2008   26  0.4019  0.0026  0.1021  0.3279  0.0425  0.11
Neighaus 1950   18  0.4123  0.0044  0.0543  0.1277  0.0444  0.07
Niedzielski 1931   34  0.394  0.016  0.1615  0.4226  0.333  0.37
Ohlsson 1999   42  0.3866  0.0024  0.0736  0.2085  0.0334  0.08
Osinska 1989   20  0.4138  0.0023  0.0728  0.2658  0.0521  0.11
Pachmann 1927   77  0.2925  0.0084  0.0384  0.0381  0.0375  0.03
Paderewski 1930   46  0.3826  0.0048  0.0656  0.0648  0.0548  0.05
Perlemuter 1992   7  0.4534  0.0010  0.186  0.6142  0.144  0.29
Pierdomenico 2008   15  0.423  0.0114  0.0718  0.3632  0.245  0.29
Poblocka 1999   19  0.4127  0.0025  0.0920  0.3366  0.0516  0.13
Rabcewiczowa 1932   48  0.3749  0.0052  0.0653  0.0671  0.0446  0.05
Rachmaninoff 1923   39  0.3977  0.0035  0.0633  0.2178  0.0430  0.09
Rangell 2001   50  0.3760  0.0038  0.0644  0.1146  0.0639  0.08
Richter 1976   27  0.4010  0.0034  0.0631  0.2156  0.0526  0.10
Rosen 1989   11  0.447  0.0121  0.0719  0.3380  0.0328  0.10
Rosenthal 1930   78  0.2836  0.0087  0.0380  0.0380  0.0379  0.03
Rosenthal 1931   88  0.2390  0.0088  0.0468  0.0454  0.0459  0.04
Rosenthal 1931b   80  0.2881  0.0083  0.0382  0.0387  0.0290  0.02
Rosenthal 1931c   85  0.2737  0.0086  0.0388  0.0387  0.0386  0.03
Rosenthal 1931d   82  0.2770  0.0085  0.0387  0.0377  0.0385  0.03
Rossi 2007   71  0.3250  0.0056  0.0846  0.0846  0.0832  0.08
Rubinstein 1939   86  0.2661  0.0082  0.0466  0.0485  0.0372  0.03
Rubinstein 1952   83  0.2769  0.0075  0.0373  0.0375  0.0487  0.03
Rubinstein 1966   41  0.389  0.0137  0.0739  0.1679  0.0435  0.08
Schilhawsky 1960   43  0.3821  0.0030  0.0627  0.2761  0.0519  0.12
Shebanova 2002   12  0.4422  0.0013  0.1312  0.4952  0.0611  0.17
Smith 1975   72  0.3262  0.0077  0.0372  0.0363  0.0471  0.03
Sokolov 2002   64  0.3473  0.0060  0.0461  0.0465  0.0456  0.04
Sztompka 1959   5  0.4642  0.007  0.197  0.6154  0.068  0.19
Tomsic 1995   60  0.3554  0.0054  0.0651  0.0671  0.0447  0.05
Uninsky 1932   13  0.4351  0.0027  0.0816  0.3875  0.0420  0.12
Uninsky 1971   47  0.3729  0.0047  0.0747  0.0774  0.0450  0.05
Wasowski 1980   37  0.3944  0.0022  0.0624  0.2782  0.0329  0.09
Zak 1937   22  0.4115  0.0015  0.0822  0.3178  0.0422  0.11
Zak 1951   32  0.3958  0.0020  0.0723  0.2974  0.0423  0.11
Average   2  0.5445  0.002  0.372  0.7977  0.0313  0.15
Random 1   91  -0.1075  0.0089  0.0289  0.0252  0.0481  0.03
Random 2   90  -0.0791  0.0090  0.0190  0.0179  0.0291  0.01
Random 3   89  -0.0786  0.0091  0.0191  0.0165  0.0389  0.02

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).