Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   28  0.5982  0.0034  0.0734  0.3034  0.3235  0.31
Anderszewski 2003   48  0.5342  0.0040  0.0744  0.1829  0.2741  0.22
Ashkenazy 1981   58  0.4969  0.0061  0.0479  0.0463  0.0481  0.04
Bacha 2000   74  0.4467  0.0072  0.0563  0.0538  0.2259  0.10
Badura 1965   62  0.4883  0.0064  0.0481  0.0443  0.1961  0.09
Barbosa 1983   61  0.4845  0.0057  0.0562  0.0532  0.2856  0.12
Biret 1990   4  0.692  0.152  0.433  0.742  0.821  0.78
Blet 2003   56  0.4968  0.0066  0.0469  0.0448  0.0578  0.04
Block 1995   35  0.5722  0.0044  0.0843  0.1911  0.4736  0.30
Blumental 1952   63  0.4786  0.0045  0.0745  0.1527  0.2545  0.19
Boshniakovich 1969   15  0.6251  0.0022  0.0727  0.4115  0.4824  0.44
Brailowsky 1960   54  0.5160  0.0070  0.0471  0.0441  0.2260  0.09
Bunin 1987   81  0.4058  0.0085  0.0468  0.0471  0.0482  0.04
Bunin 1987b   82  0.4075  0.0084  0.0566  0.0566  0.0476  0.04
Chiu 1999   60  0.4836  0.0065  0.0476  0.0447  0.0669  0.05
Cohen 1997   79  0.4146  0.0071  0.0470  0.0412  0.4654  0.14
Cortot 1951   37  0.5649  0.0043  0.0839  0.214  0.6933  0.38
Csalog 1996   44  0.5455  0.0051  0.0567  0.058  0.6348  0.18
Czerny 1949   6  0.6711  0.016  0.185  0.683  0.743  0.71
Czerny 1990   8  0.6515  0.0014  0.1121  0.4619  0.4125  0.43
Duchoud 2007   68  0.4565  0.0067  0.0477  0.0459  0.0479  0.04
Ezaki 2006   10  0.6416  0.0012  0.1315  0.5013  0.5016  0.50
Falvay 1989   19  0.6135  0.0032  0.0730  0.3812  0.5621  0.46
Farrell 1958   38  0.5628  0.0016  0.1018  0.483  0.629  0.55
Ferenczy 1958   45  0.5464  0.0046  0.0564  0.0515  0.4253  0.14
Fliere 1977   5  0.6824  0.007  0.188  0.6217  0.498  0.55
Fou 1978   34  0.5756  0.0027  0.0626  0.4219  0.4327  0.42
Francois 1956   21  0.6117  0.0030  0.0628  0.408  0.6119  0.49
Friedman 1923   87  0.3561  0.0080  0.0388  0.0368  0.0586  0.04
Friedman 1923b   85  0.3571  0.0077  0.0478  0.0459  0.0583  0.04
Friedman 1930   78  0.4339  0.0068  0.0565  0.0569  0.0572  0.05
Garcia 2007   80  0.4118  0.0073  0.0558  0.0528  0.2658  0.11
Garcia 2007b   84  0.3714  0.0169  0.0559  0.0524  0.2857  0.12
Gierzod 1998   12  0.6433  0.0013  0.1110  0.5422  0.4418  0.49
Gornostaeva 1994   3  0.693  0.055  0.206  0.654  0.715  0.68
Groot 1988   36  0.5627  0.0041  0.0838  0.2234  0.2940  0.25
Harasiewicz 1955   16  0.625  0.028  0.207  0.6214  0.4712  0.54
Hatto 1993   73  0.4452  0.0059  0.0651  0.0660  0.0574  0.05
Hatto 1997   59  0.4934  0.0035  0.0636  0.2333  0.1844  0.20
Horowitz 1949   67  0.4685  0.0079  0.0386  0.0349  0.0577  0.04
Indjic 1988   70  0.4570  0.0058  0.0655  0.0648  0.0766  0.06
Kapell 1951   22  0.6148  0.0028  0.0722  0.4617  0.3928  0.42
Kissin 1993   23  0.6044  0.0033  0.0933  0.3329  0.3234  0.32
Kushner 1989   9  0.648  0.0111  0.1412  0.5212  0.5214  0.52
Luisada 1991   42  0.5572  0.0037  0.0541  0.2031  0.3439  0.26
Lushtak 2004   40  0.5666  0.0026  0.1123  0.4520  0.4722  0.46
Malcuzynski 1961   31  0.5819  0.0039  0.0735  0.2520  0.3338  0.29
Magaloff 1978   14  0.6213  0.0120  0.0731  0.3714  0.4330  0.40
Magin 1975   57  0.4943  0.0062  0.0480  0.0460  0.0475  0.04
Michalowski 1933   72  0.4473  0.0075  0.0654  0.0648  0.0864  0.07
Milkina 1970   7  0.654  0.024  0.244  0.695  0.646  0.66
Mohovich 1999   20  0.6162  0.0017  0.0713  0.5214  0.5711  0.54
Moravec 1969   39  0.5684  0.0052  0.0561  0.0514  0.4449  0.15
Morozova 2008   47  0.5337  0.0038  0.0640  0.2031  0.2343  0.21
Neighaus 1950   26  0.6023  0.0018  0.0724  0.4423  0.3332  0.38
Niedzielski 1931   77  0.4340  0.0081  0.0483  0.0465  0.0387  0.03
Ohlsson 1999   27  0.599  0.0129  0.0725  0.4323  0.4129  0.42
Osinska 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Pachmann 1927   76  0.4330  0.0082  0.0385  0.0340  0.1763  0.07
Paderewski 1930   55  0.5163  0.0048  0.0650  0.0621  0.3152  0.14
Perlemuter 1992   41  0.5576  0.0053  0.0556  0.0529  0.2855  0.12
Pierdomenico 2008   50  0.5331  0.0047  0.0652  0.067  0.5247  0.18
Poblocka 1999   18  0.6247  0.0019  0.1019  0.4816  0.4323  0.45
Rabcewiczowa 1932   25  0.6021  0.0031  0.0732  0.348  0.5126  0.42
Rachmaninoff 1923   66  0.4677  0.0056  0.0653  0.0661  0.0570  0.05
Rangell 2001   53  0.5229  0.0036  0.0642  0.1911  0.4737  0.30
Richter 1976   65  0.4632  0.0078  0.0387  0.0376  0.0388  0.03
Rosen 1989   2  0.706  0.023  0.352  0.763  0.772  0.76
Rosenthal 1930   75  0.4490  0.0083  0.0474  0.0465  0.0580  0.04
Rosenthal 1931   86  0.3579  0.0087  0.0384  0.0363  0.0489  0.03
Rosenthal 1931b   88  0.3591  0.0088  0.0475  0.0457  0.0485  0.04
Rosenthal 1931c   69  0.4578  0.0076  0.0473  0.0442  0.1762  0.08
Rosenthal 1931d   83  0.3880  0.0086  0.0482  0.0451  0.0584  0.04
Rossi 2007   49  0.5326  0.0050  0.0472  0.041  0.7746  0.18
Rubinstein 1939   71  0.4474  0.0063  0.0560  0.0512  0.4450  0.15
Rubinstein 1952   33  0.5810  0.0121  0.0716  0.4910  0.6013  0.54
Rubinstein 1966   17  0.6212  0.019  0.199  0.568  0.657  0.60
Schilhawsky 1960   52  0.5257  0.0060  0.0557  0.0558  0.0571  0.05
Shebanova 2002   24  0.6025  0.0023  0.0729  0.3926  0.4231  0.40
Smith 1975   11  0.647  0.0110  0.1211  0.529  0.5015  0.51
Sokolov 2002   51  0.5238  0.0055  0.0648  0.0661  0.0568  0.05
Sztompka 1959   32  0.5841  0.0042  0.0837  0.2232  0.2042  0.21
Tomsic 1995   46  0.5454  0.0054  0.0746  0.0720  0.3351  0.15
Uninsky 1932   64  0.4759  0.0074  0.0747  0.0763  0.0567  0.06
Uninsky 1971   43  0.5481  0.0049  0.0649  0.0657  0.0665  0.06
Wasowski 1980   13  0.6220  0.0015  0.1317  0.483  0.6110  0.54
Zak 1937   29  0.5950  0.0024  0.0720  0.4714  0.5317  0.50
Zak 1951   30  0.5853  0.0025  0.1114  0.5016  0.4620  0.48
Average   1  0.781  0.611  0.601  0.8912  0.524  0.68
Random 1   91  -0.0887  0.0091  0.0191  0.0179  0.0291  0.01
Random 2   89  -0.0388  0.0089  0.0289  0.0243  0.1273  0.05
Random 3   90  -0.0589  0.0090  0.0290  0.0263  0.0390  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).