Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   18  0.5938  0.0023  0.1317  0.4920  0.4717  0.48
Anderszewski 2003   12  0.6143  0.008  0.2021  0.4615  0.4720  0.46
Ashkenazy 1981   3  0.656  0.035  0.163  0.639  0.556  0.59
Bacha 2000   54  0.4914  0.0132  0.0640  0.2211  0.5230  0.34
Badura 1965   70  0.4363  0.0070  0.0467  0.0450  0.0668  0.05
Barbosa 1983   36  0.5427  0.0030  0.0734  0.3117  0.4328  0.37
Biret 1990   24  0.5830  0.0025  0.0918  0.4818  0.4022  0.44
Blet 2003   10  0.6122  0.0020  0.0911  0.532  0.675  0.60
Block 1995   51  0.5065  0.0043  0.0743  0.1421  0.3439  0.22
Blumental 1952   39  0.5315  0.0140  0.0938  0.2320  0.2938  0.26
Boshniakovich 1969   30  0.5733  0.0037  0.0736  0.2628  0.2935  0.27
Brailowsky 1960   16  0.5912  0.0121  0.0929  0.348  0.6618  0.47
Bunin 1987   66  0.4545  0.0078  0.0559  0.0552  0.0570  0.05
Bunin 1987b   67  0.4471  0.0079  0.0564  0.0556  0.0562  0.05
Chiu 1999   32  0.5624  0.0028  0.0728  0.379  0.5421  0.45
Cohen 1997   81  0.3776  0.0081  0.0474  0.0444  0.0769  0.05
Cortot 1951   83  0.3555  0.0087  0.0470  0.0486  0.0387  0.03
Csalog 1996   85  0.3532  0.0066  0.0653  0.0634  0.2350  0.12
Czerny 1949   63  0.4687  0.0065  0.0562  0.0563  0.0479  0.04
Czerny 1990   25  0.5880  0.0035  0.0927  0.3753  0.0644  0.15
Duchoud 2007   62  0.4669  0.0060  0.0476  0.0446  0.0767  0.05
Ezaki 2006   6  0.6262  0.0019  0.1031  0.3135  0.2334  0.27
Falvay 1989   35  0.5510  0.0127  0.1033  0.3126  0.3731  0.34
Farrell 1958   56  0.4881  0.0069  0.0466  0.0462  0.0575  0.04
Ferenczy 1958   61  0.4625  0.0053  0.0563  0.0538  0.1753  0.09
Fliere 1977   1  0.672  0.134  0.171  0.7312  0.571  0.65
Fou 1978   14  0.6058  0.0018  0.1110  0.5416  0.4513  0.49
Francois 1956   68  0.4464  0.0063  0.0469  0.0451  0.0480  0.04
Friedman 1923   77  0.3959  0.0074  0.0381  0.0336  0.1658  0.07
Friedman 1923b   75  0.4066  0.0072  0.0378  0.0339  0.1361  0.06
Friedman 1930   74  0.4128  0.0061  0.0473  0.0472  0.0478  0.04
Garcia 2007   73  0.4185  0.0075  0.0380  0.0339  0.1555  0.07
Garcia 2007b   53  0.4931  0.0038  0.0839  0.224  0.5629  0.35
Gierzod 1998   29  0.5717  0.0114  0.1019  0.4833  0.3624  0.42
Gornostaeva 1994   31  0.5642  0.0041  0.0837  0.2430  0.3036  0.27
Groot 1988   42  0.5226  0.0048  0.0845  0.0851  0.0657  0.07
Harasiewicz 1955   33  0.5673  0.0036  0.0932  0.3145  0.0745  0.15
Hatto 1993   11  0.614  0.132  0.184  0.624  0.633  0.62
Hatto 1997   7  0.6141  0.007  0.197  0.598  0.478  0.53
Horowitz 1949   52  0.5039  0.0054  0.0558  0.0519  0.5143  0.16
Indjic 1988   5  0.629  0.023  0.172  0.654  0.652  0.65
Kapell 1951   45  0.5146  0.0049  0.0846  0.0874  0.0460  0.06
Kissin 1993   8  0.6129  0.0012  0.108  0.5621  0.4511  0.50
Kushner 1989   13  0.6116  0.0124  0.0816  0.5023  0.3425  0.41
Luisada 1991   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Lushtak 2004   40  0.5335  0.0045  0.0650  0.0639  0.1454  0.09
Malcuzynski 1961   59  0.4657  0.0059  0.0471  0.0483  0.0381  0.03
Magaloff 1978   38  0.5448  0.0042  0.0742  0.1743  0.1246  0.14
Magin 1975   2  0.661  0.211  0.215  0.615  0.594  0.60
Michalowski 1933   69  0.4337  0.0052  0.0654  0.0633  0.2948  0.13
Milkina 1970   17  0.593  0.139  0.166  0.6011  0.537  0.56
Mohovich 1999   21  0.5918  0.0131  0.0725  0.3927  0.3827  0.38
Moravec 1969   64  0.4544  0.0057  0.0560  0.0534  0.1952  0.10
Morozova 2008   4  0.647  0.026  0.1823  0.4417  0.3726  0.40
Neighaus 1950   37  0.5434  0.0039  0.0835  0.2840  0.1440  0.20
Niedzielski 1931   60  0.4654  0.0051  0.0652  0.0619  0.4242  0.16
Ohlsson 1999   20  0.5967  0.0016  0.0913  0.5318  0.4316  0.48
Osinska 1989   34  0.5549  0.0034  0.0830  0.3440  0.2037  0.26
Pachmann 1927   80  0.3782  0.0082  0.0385  0.0369  0.0482  0.03
Paderewski 1930   76  0.3977  0.0077  0.0468  0.0446  0.0577  0.04
Perlemuter 1992   41  0.5360  0.0050  0.0847  0.0838  0.1849  0.12
Pierdomenico 2008   71  0.4384  0.0071  0.0377  0.0354  0.0673  0.04
Poblocka 1999   28  0.5820  0.0133  0.0726  0.3829  0.2832  0.33
Rabcewiczowa 1932   65  0.4586  0.0062  0.0472  0.0454  0.0574  0.04
Rachmaninoff 1923   44  0.5223  0.0044  0.0644  0.1241  0.1051  0.11
Rangell 2001   72  0.4356  0.0068  0.0656  0.0661  0.0571  0.05
Richter 1976   58  0.4790  0.0073  0.0382  0.0362  0.0576  0.04
Rosen 1989   19  0.5950  0.0017  0.089  0.5513  0.4810  0.51
Rosenthal 1930   82  0.3647  0.0086  0.0383  0.0370  0.0385  0.03
Rosenthal 1931   86  0.3583  0.0085  0.0384  0.0370  0.0383  0.03
Rosenthal 1931b   87  0.3472  0.0084  0.0287  0.0246  0.0688  0.03
Rosenthal 1931c   84  0.3579  0.0083  0.0286  0.0256  0.0489  0.03
Rosenthal 1931d   78  0.3851  0.0080  0.0475  0.0443  0.1256  0.07
Rossi 2007   79  0.3888  0.0076  0.0379  0.0352  0.0572  0.04
Rubinstein 1939   48  0.5153  0.0056  0.0649  0.0610  0.4641  0.17
Rubinstein 1952   47  0.5111  0.0126  0.0741  0.2224  0.3733  0.29
Rubinstein 1966   23  0.5852  0.0029  0.0724  0.4321  0.4423  0.43
Schilhawsky 1960   55  0.4968  0.0064  0.0561  0.0562  0.0565  0.05
Shebanova 2002   15  0.605  0.1010  0.1912  0.5315  0.509  0.51
Smith 1975   9  0.6121  0.0015  0.0920  0.4814  0.4519  0.46
Sokolov 2002   46  0.5136  0.0046  0.0655  0.0652  0.0659  0.06
Sztompka 1959   43  0.5261  0.0055  0.0557  0.0567  0.0563  0.05
Tomsic 1995   50  0.5078  0.0047  0.0748  0.0731  0.2647  0.13
Uninsky 1932   49  0.5019  0.0158  0.0565  0.0552  0.0666  0.05
Uninsky 1971   57  0.4740  0.0067  0.0651  0.0671  0.0464  0.05
Wasowski 1980   26  0.588  0.0211  0.1122  0.454  0.5312  0.49
Zak 1937   22  0.5970  0.0022  0.0815  0.5118  0.4514  0.48
Zak 1951   27  0.5813  0.0113  0.0914  0.5320  0.4315  0.48
Random 1   90  -0.0474  0.0090  0.0190  0.0165  0.0390  0.02
Random 2   89  -0.0489  0.0088  0.0288  0.0257  0.0484  0.03
Random 3   88  -0.0375  0.0089  0.0289  0.0254  0.0486  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).