Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   1  0.701  0.221  0.213  0.661  0.703  0.68
Anderszewski 2003   28  0.6046  0.0029  0.0731  0.3020  0.4231  0.35
Ashkenazy 1981   34  0.5944  0.0037  0.0639  0.1936  0.2342  0.21
Bacha 2000   51  0.5358  0.0062  0.0467  0.043  0.6050  0.15
Badura 1965   41  0.5763  0.0043  0.0642  0.138  0.5638  0.27
Barbosa 1983   33  0.5927  0.0017  0.0717  0.443  0.6511  0.53
Biret 1990   24  0.6119  0.0128  0.0825  0.4012  0.5016  0.45
Blet 2003   50  0.5460  0.0060  0.0563  0.0525  0.2859  0.12
Block 1995   58  0.5237  0.0067  0.0559  0.0530  0.2363  0.11
Blumental 1952   57  0.5213  0.0124  0.0737  0.2117  0.3239  0.26
Boshniakovich 1969   49  0.5474  0.0065  0.0558  0.0566  0.0578  0.05
Brailowsky 1960   29  0.6018  0.0144  0.0643  0.129  0.6237  0.27
Bunin 1987   52  0.5366  0.0056  0.0471  0.0418  0.4157  0.13
Bunin 1987b   53  0.5367  0.0053  0.0466  0.0414  0.4556  0.13
Chiu 1999   54  0.5378  0.0061  0.0560  0.0529  0.3455  0.13
Cohen 1997   82  0.3949  0.0081  0.0382  0.0333  0.2470  0.08
Cortot 1951   61  0.5135  0.0066  0.0651  0.0624  0.3454  0.14
Csalog 1996   78  0.4179  0.0077  0.0379  0.0353  0.0684  0.04
Czerny 1949   4  0.672  0.132  0.195  0.625  0.665  0.64
Czerny 1990   5  0.6712  0.015  0.157  0.5910  0.616  0.60
Duchoud 2007   68  0.4777  0.0069  0.0648  0.0639  0.1765  0.10
Ezaki 2006   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Falvay 1989   20  0.627  0.0422  0.0829  0.348  0.5817  0.44
Farrell 1958   55  0.5322  0.0054  0.0469  0.0430  0.2564  0.10
Ferenczy 1958   39  0.5841  0.0050  0.0653  0.065  0.5747  0.18
Fliere 1977   6  0.6640  0.0014  0.0913  0.4932  0.3619  0.42
Fou 1978   15  0.633  0.119  0.1116  0.4523  0.3920  0.42
Francois 1956   45  0.5645  0.0030  0.0736  0.2316  0.4933  0.34
Friedman 1923   84  0.3888  0.0080  0.0380  0.0343  0.1175  0.06
Friedman 1923b   83  0.3884  0.0079  0.0474  0.0456  0.0585  0.04
Friedman 1930   72  0.4685  0.0068  0.0561  0.0530  0.2761  0.12
Garcia 2007   86  0.3489  0.0087  0.0470  0.0474  0.0388  0.03
Garcia 2007b   87  0.3369  0.0086  0.0385  0.0385  0.0389  0.03
Gierzod 1998   10  0.6433  0.0012  0.1111  0.5023  0.4414  0.47
Gornostaeva 1994   9  0.6521  0.0110  0.129  0.515  0.677  0.58
Groot 1988   36  0.5934  0.0034  0.0832  0.2822  0.3934  0.33
Harasiewicz 1955   7  0.664  0.103  0.166  0.6012  0.4810  0.54
Hatto 1993   66  0.5057  0.0058  0.0652  0.0666  0.0579  0.05
Hatto 1997   44  0.5615  0.0136  0.1033  0.2415  0.3535  0.29
Horowitz 1949   73  0.4561  0.0076  0.0475  0.0450  0.0582  0.04
Indjic 1988   64  0.5172  0.0057  0.0465  0.0455  0.0676  0.05
Kapell 1951   35  0.5923  0.0019  0.0718  0.4315  0.4022  0.41
Kissin 1993   11  0.6432  0.0020  0.0822  0.4122  0.4518  0.43
Kushner 1989   26  0.6155  0.0039  0.0738  0.2035  0.2043  0.20
Luisada 1991   19  0.6248  0.0038  0.0935  0.2331  0.3136  0.27
Lushtak 2004   22  0.6151  0.0026  0.0727  0.3818  0.4721  0.42
Malcuzynski 1961   8  0.665  0.094  0.172  0.673  0.674  0.67
Magaloff 1978   21  0.6225  0.0035  0.1030  0.3215  0.4230  0.37
Magin 1975   42  0.5762  0.0040  0.0740  0.1930  0.2641  0.22
Michalowski 1933   85  0.3870  0.0078  0.0378  0.0351  0.0683  0.04
Milkina 1970   18  0.629  0.0325  0.0721  0.4222  0.4123  0.41
Mohovich 1999   3  0.6814  0.016  0.181  0.682  0.751  0.71
Moravec 1969   56  0.5342  0.0049  0.0747  0.0712  0.4545  0.18
Morozova 2008   14  0.6320  0.0113  0.0920  0.4214  0.4024  0.41
Neighaus 1950   37  0.5856  0.0042  0.0641  0.1441  0.1358  0.13
Niedzielski 1931   79  0.4054  0.0084  0.0381  0.0367  0.0386  0.03
Ohlsson 1999   25  0.6138  0.0027  0.0919  0.4224  0.3627  0.39
Osinska 1989   12  0.6417  0.0118  0.0812  0.5014  0.5013  0.50
Pachmann 1927   77  0.4381  0.0082  0.0384  0.0341  0.1473  0.06
Paderewski 1930   80  0.4086  0.0085  0.0387  0.0381  0.0387  0.03
Perlemuter 1992   59  0.5250  0.0063  0.0562  0.0545  0.0771  0.06
Pierdomenico 2008   75  0.4475  0.0074  0.0383  0.0343  0.1172  0.06
Poblocka 1999   16  0.636  0.0421  0.1023  0.4122  0.3725  0.39
Rabcewiczowa 1932   43  0.5636  0.0047  0.0745  0.0718  0.3749  0.16
Rachmaninoff 1923   40  0.5729  0.0033  0.1028  0.3618  0.4326  0.39
Rangell 2001   60  0.5216  0.0141  0.0644  0.124  0.5640  0.26
Richter 1976   67  0.5080  0.0072  0.0477  0.0443  0.1566  0.08
Rosen 1989   13  0.6411  0.028  0.118  0.546  0.598  0.56
Rosenthal 1930   63  0.5164  0.0055  0.0473  0.0410  0.6052  0.15
Rosenthal 1931   71  0.4643  0.0052  0.0556  0.056  0.6746  0.18
Rosenthal 1931b   76  0.4359  0.0070  0.0468  0.0411  0.5953  0.15
Rosenthal 1931c   62  0.5130  0.0051  0.0557  0.058  0.6448  0.18
Rosenthal 1931d   74  0.4428  0.0071  0.0746  0.0711  0.6044  0.20
Rossi 2007   70  0.4739  0.0073  0.0472  0.045  0.5451  0.15
Rubinstein 1939   81  0.4087  0.0083  0.0386  0.0349  0.0581  0.04
Rubinstein 1952   65  0.5047  0.0048  0.0655  0.0648  0.0774  0.06
Rubinstein 1966   32  0.5924  0.0023  0.0934  0.2317  0.5232  0.35
Schilhawsky 1960   46  0.5590  0.0059  0.0649  0.0639  0.2360  0.12
Shebanova 2002   47  0.5531  0.0064  0.0464  0.0446  0.0777  0.05
Smith 1975   2  0.698  0.047  0.234  0.662  0.712  0.68
Sokolov 2002   27  0.6110  0.0216  0.0810  0.513  0.5212  0.51
Sztompka 1959   38  0.5868  0.0046  0.0654  0.0641  0.1167  0.08
Tomsic 1995   17  0.6226  0.0011  0.0915  0.464  0.639  0.54
Uninsky 1932   48  0.5565  0.0045  0.0650  0.0630  0.2662  0.12
Uninsky 1971   30  0.6053  0.0031  0.0724  0.4022  0.3729  0.38
Wasowski 1980   69  0.4783  0.0075  0.0476  0.0465  0.0480  0.04
Zak 1937   31  0.6076  0.0032  0.0726  0.3824  0.3928  0.38
Zak 1951   23  0.6152  0.0015  0.0814  0.4717  0.4515  0.46
Random 1   90  -0.0682  0.0090  0.0190  0.0154  0.0490  0.02
Random 2   88  -0.0173  0.0088  0.0289  0.0219  0.3368  0.08
Random 3   89  -0.0271  0.0089  0.0288  0.0216  0.3669  0.08

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).