Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.6319  0.0025  0.1113  0.487  0.5413  0.51
Anderszewski 2003   34  0.5721  0.0036  0.0636  0.2421  0.4135  0.31
Ashkenazy 1981   46  0.5339  0.0052  0.0654  0.0648  0.0668  0.06
Bacha 2000   25  0.5847  0.0029  0.0731  0.331  0.6818  0.47
Badura 1965   57  0.4848  0.0046  0.0657  0.0628  0.3451  0.14
Barbosa 1983   64  0.4732  0.0039  0.0839  0.1627  0.3441  0.23
Biret 1990   11  0.635  0.077  0.187  0.623  0.646  0.63
Blet 2003   53  0.4975  0.0065  0.0472  0.0454  0.0577  0.04
Block 1995   48  0.5282  0.0041  0.0641  0.1523  0.3242  0.22
Blumental 1952   65  0.4612  0.0248  0.0565  0.0527  0.2456  0.11
Boshniakovich 1969   42  0.5437  0.0038  0.0734  0.2926  0.3137  0.30
Brailowsky 1960   35  0.5769  0.0058  0.0845  0.0817  0.5144  0.20
Bunin 1987   79  0.3759  0.0084  0.0569  0.0575  0.0383  0.04
Bunin 1987b   80  0.3790  0.0083  0.0568  0.0578  0.0374  0.04
Chiu 1999   63  0.4765  0.0044  0.0644  0.1123  0.3943  0.21
Cohen 1997   76  0.4326  0.0040  0.0840  0.162  0.5936  0.31
Cortot 1951   77  0.4374  0.0080  0.0382  0.0354  0.0585  0.04
Csalog 1996   49  0.5277  0.0045  0.0562  0.0512  0.5248  0.16
Czerny 1949   38  0.568  0.0515  0.0927  0.3817  0.4725  0.42
Czerny 1990   16  0.6183  0.0026  0.0919  0.4321  0.3828  0.40
Duchoud 2007   56  0.4878  0.0064  0.0658  0.0647  0.0667  0.06
Ezaki 2006   12  0.6211  0.0221  0.0822  0.4121  0.4226  0.41
Falvay 1989   4  0.6525  0.008  0.1810  0.534  0.678  0.60
Farrell 1958   41  0.5653  0.0037  0.0735  0.2411  0.4634  0.33
Ferenczy 1958   71  0.4529  0.0082  0.0474  0.0457  0.0480  0.04
Fliere 1977   23  0.5966  0.0032  0.0728  0.3650  0.0649  0.15
Fou 1978   1  0.671  0.281  0.285  0.643  0.674  0.65
Francois 1956   26  0.5828  0.0035  0.0737  0.2414  0.5233  0.35
Friedman 1923   87  0.2179  0.0087  0.0479  0.0473  0.0487  0.04
Friedman 1923b   86  0.2280  0.0086  0.0480  0.0462  0.0584  0.04
Friedman 1930   85  0.2533  0.0085  0.0475  0.0469  0.0579  0.04
Garcia 2007   83  0.3354  0.0076  0.0386  0.0351  0.0681  0.04
Garcia 2007b   84  0.3263  0.0073  0.0383  0.0351  0.0586  0.04
Gierzod 1998   24  0.5923  0.0027  0.0921  0.4136  0.3432  0.37
Gornostaeva 1994   14  0.6145  0.0020  0.0824  0.4111  0.5717  0.48
Groot 1988   13  0.6240  0.0019  0.0826  0.4012  0.4724  0.43
Harasiewicz 1955   27  0.587  0.066  0.173  0.664  0.559  0.60
Hatto 1993   60  0.4760  0.0049  0.0570  0.0525  0.2059  0.10
Hatto 1997   54  0.4914  0.0147  0.0564  0.0539  0.1160  0.07
Horowitz 1949   45  0.5367  0.0056  0.0752  0.0717  0.5145  0.19
Indjic 1988   58  0.4846  0.0050  0.0846  0.0829  0.2152  0.13
Kapell 1951   30  0.5720  0.0055  0.0747  0.0747  0.0565  0.06
Kissin 1993   2  0.679  0.044  0.176  0.636  0.665  0.64
Kushner 1989   7  0.6461  0.0011  0.139  0.5412  0.5112  0.52
Luisada 1991   22  0.5910  0.039  0.1711  0.536  0.6010  0.56
Lushtak 2004   66  0.4650  0.0062  0.0656  0.0658  0.0573  0.05
Malcuzynski 1961   8  0.6431  0.0022  0.0829  0.3613  0.4427  0.40
Magaloff 1978   17  0.6184  0.0030  0.0732  0.3314  0.4231  0.37
Magin 1975   32  0.5734  0.0033  0.0930  0.3317  0.4329  0.38
Michalowski 1933   81  0.3464  0.0079  0.0478  0.0469  0.0576  0.04
Milkina 1970   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Mohovich 1999   9  0.6422  0.0012  0.1114  0.477  0.6511  0.55
Moravec 1969   20  0.6018  0.0131  0.0733  0.305  0.6223  0.43
Morozova 2008   40  0.5616  0.0117  0.0815  0.479  0.4819  0.47
Neighaus 1950   44  0.5427  0.0054  0.0753  0.0766  0.0569  0.06
Niedzielski 1931   78  0.4276  0.0077  0.0473  0.0473  0.0388  0.03
Ohlsson 1999   28  0.5813  0.0228  0.0925  0.4026  0.3630  0.38
Osinska 1989   6  0.652  0.102  0.144  0.643  0.693  0.66
Pachmann 1927   74  0.4451  0.0075  0.0384  0.0325  0.3558  0.10
Paderewski 1930   75  0.4486  0.0081  0.0387  0.0384  0.0389  0.03
Perlemuter 1992   55  0.4987  0.0063  0.0660  0.0651  0.0663  0.06
Pierdomenico 2008   68  0.4549  0.0042  0.0643  0.139  0.4839  0.25
Poblocka 1999   39  0.5652  0.0059  0.0749  0.0772  0.0470  0.05
Rabcewiczowa 1932   51  0.5156  0.0051  0.0659  0.0633  0.2055  0.11
Rachmaninoff 1923   62  0.4730  0.0057  0.0751  0.0751  0.0564  0.06
Rangell 2001   21  0.5942  0.0013  0.1120  0.433  0.5715  0.50
Richter 1976   67  0.4670  0.0072  0.0476  0.0461  0.0575  0.04
Rosen 1989   19  0.6138  0.0024  0.0918  0.4412  0.4921  0.46
Rosenthal 1930   73  0.4555  0.0078  0.0381  0.0349  0.0682  0.04
Rosenthal 1931   61  0.4762  0.0067  0.0566  0.0517  0.5646  0.17
Rosenthal 1931b   70  0.4568  0.0071  0.0661  0.0617  0.4947  0.17
Rosenthal 1931c   52  0.4958  0.0070  0.0477  0.0429  0.3653  0.12
Rosenthal 1931d   59  0.4771  0.0069  0.0567  0.0516  0.4650  0.15
Rossi 2007   82  0.3381  0.0074  0.0385  0.0316  0.4054  0.11
Rubinstein 1939   29  0.574  0.0710  0.128  0.543  0.707  0.61
Rubinstein 1952   5  0.656  0.065  0.181  0.685  0.672  0.67
Rubinstein 1966   3  0.663  0.093  0.152  0.673  0.781  0.72
Schilhawsky 1960   72  0.4524  0.0066  0.0563  0.0572  0.0478  0.04
Shebanova 2002   18  0.6141  0.0023  0.0817  0.4420  0.4722  0.45
Smith 1975   36  0.5785  0.0034  0.0638  0.2129  0.2640  0.23
Sokolov 2002   33  0.5715  0.0153  0.0748  0.0740  0.1557  0.10
Sztompka 1959   50  0.5135  0.0061  0.0655  0.0671  0.0571  0.05
Tomsic 1995   15  0.6144  0.0016  0.0823  0.415  0.6114  0.50
Uninsky 1932   69  0.4557  0.0068  0.0471  0.0453  0.0672  0.05
Uninsky 1971   47  0.5217  0.0160  0.0750  0.0750  0.0666  0.06
Wasowski 1980   43  0.5436  0.0043  0.0642  0.1514  0.4138  0.25
Zak 1937   37  0.5672  0.0018  0.0816  0.4517  0.4820  0.46
Zak 1951   31  0.5743  0.0014  0.1212  0.5113  0.4816  0.49
Random 1   90  -0.0388  0.0089  0.0189  0.013  0.4862  0.07
Random 2   88  0.0073  0.0088  0.0288  0.0224  0.2861  0.07
Random 3   89  -0.0389  0.0090  0.0190  0.0146  0.0590  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).