Blet 2003

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   32  0.3921  0.0137  0.0833  0.3933  0.3434  0.36
Anderszewski 2003   68  0.2055  0.0071  0.0469  0.0474  0.0470  0.04
Ashkenazy 1981   17  0.4610  0.0125  0.0819  0.5638  0.3031  0.41
Bacha 2000   80  0.1180  0.0067  0.0471  0.0474  0.0373  0.03
Badura 1965   69  0.2088  0.0079  0.0376  0.0372  0.0380  0.03
Barbosa 1983   21  0.4243  0.0018  0.0910  0.656  0.673  0.66
Biret 1990   50  0.3032  0.0043  0.0743  0.1627  0.4739  0.27
Blet 2003   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Block 1995   41  0.3626  0.0040  0.0939  0.2844  0.1043  0.17
Blumental 1952   64  0.2139  0.0065  0.0565  0.0572  0.0472  0.04
Boshniakovich 1969   47  0.3261  0.0044  0.0844  0.1548  0.0748  0.10
Brailowsky 1960   77  0.1468  0.0077  0.0372  0.0374  0.0475  0.03
Bunin 1987   36  0.385  0.0415  0.0826  0.4911  0.5619  0.52
Bunin 1987b   35  0.387  0.0216  0.1525  0.5011  0.5617  0.53
Chiu 1999   13  0.4817  0.0126  0.1018  0.5732  0.3526  0.45
Cohen 1997   75  0.1582  0.0082  0.0282  0.0285  0.0288  0.02
Cortot 1951   66  0.2063  0.0062  0.0661  0.0649  0.0658  0.06
Csalog 1996   38  0.3752  0.0045  0.0850  0.0826  0.3942  0.18
Czerny 1949   81  0.0689  0.0086  0.0286  0.0266  0.0479  0.03
Czerny 1990   40  0.3683  0.0041  0.0841  0.2532  0.4336  0.33
Duchoud 2007   42  0.3644  0.0029  0.1035  0.3830  0.3535  0.36
Ezaki 2006   76  0.1573  0.0075  0.0280  0.0274  0.0383  0.02
Falvay 1989   72  0.1876  0.0074  0.0281  0.0280  0.0384  0.02
Farrell 1958   48  0.3220  0.0147  0.0848  0.0831  0.3245  0.16
Ferenczy 1958   90  -0.0384  0.0089  0.0189  0.0181  0.0386  0.02
Fliere 1977   2  0.5434  0.009  0.143  0.7128  0.538  0.61
Fou 1978   54  0.3053  0.0055  0.0754  0.0780  0.0363  0.05
Francois 1956   57  0.2664  0.0056  0.0657  0.0638  0.3047  0.13
Friedman 1923   11  0.4811  0.0113  0.139  0.6522  0.5412  0.59
Friedman 1923b   7  0.4919  0.0112  0.097  0.6619  0.615  0.63
Friedman 1930   4  0.5012  0.017  0.135  0.6823  0.566  0.62
Garcia 2007   63  0.2274  0.0059  0.0751  0.0761  0.0556  0.06
Garcia 2007b   24  0.4113  0.0114  0.0924  0.5311  0.689  0.60
Gierzod 1998   89  0.0145  0.0081  0.0374  0.0386  0.0287  0.02
Gornostaeva 1994   79  0.1216  0.0173  0.0377  0.0386  0.0289  0.02
Groot 1988   12  0.488  0.0211  0.106  0.6820  0.4516  0.55
Harasiewicz 1955   9  0.489  0.0221  0.1311  0.6420  0.4321  0.52
Hatto 1993   8  0.482  0.162  0.1723  0.5421  0.5120  0.52
Hatto 1997   27  0.4123  0.0023  0.1016  0.5716  0.4523  0.51
Horowitz 1949   18  0.4518  0.0120  0.1034  0.3829  0.4429  0.41
Indjic 1988   14  0.4714  0.014  0.1314  0.6023  0.5414  0.57
Kapell 1951   29  0.4033  0.0017  0.1020  0.5614  0.4722  0.51
Kissin 1993   28  0.4077  0.0031  0.0827  0.4623  0.5224  0.49
Kushner 1989   61  0.2365  0.0069  0.0466  0.0479  0.0469  0.04
Luisada 1991   1  0.571  0.361  0.361  0.794  0.781  0.78
Lushtak 2004   70  0.1946  0.0063  0.0656  0.0649  0.0657  0.06
Malcuzynski 1961   53  0.3042  0.0057  0.0659  0.0649  0.0753  0.06
Magaloff 1978   58  0.2666  0.0060  0.0849  0.0865  0.0452  0.06
Magin 1975   15  0.4622  0.0010  0.1522  0.5419  0.6113  0.57
Michalowski 1933   16  0.4638  0.0024  0.1215  0.5917  0.4718  0.53
Milkina 1970   74  0.1657  0.0076  0.0378  0.0372  0.0378  0.03
Mohovich 1999   67  0.2058  0.0064  0.0564  0.0561  0.0567  0.05
Moravec 1969   52  0.3056  0.0050  0.0945  0.0955  0.0451  0.06
Morozova 2008   39  0.3631  0.0046  0.0946  0.0977  0.0455  0.06
Neighaus 1950   5  0.4930  0.005  0.152  0.729  0.537  0.62
Niedzielski 1931   26  0.4125  0.0027  0.0829  0.4427  0.3433  0.39
Ohlsson 1999   20  0.4340  0.0032  0.1032  0.4035  0.1640  0.25
Osinska 1989   65  0.2078  0.0066  0.0467  0.0476  0.0374  0.03
Pachmann 1927   44  0.3354  0.0048  0.0660  0.0645  0.0949  0.07
Paderewski 1930   6  0.494  0.058  0.154  0.698  0.712  0.70
Perlemuter 1992   30  0.4015  0.0138  0.0937  0.3634  0.4432  0.40
Pierdomenico 2008   56  0.2727  0.0054  0.0562  0.0555  0.0561  0.05
Poblocka 1999   37  0.3824  0.0036  0.1328  0.4518  0.4327  0.44
Rabcewiczowa 1932   78  0.1259  0.0072  0.0375  0.0346  0.0962  0.05
Rachmaninoff 1923   33  0.3935  0.0039  0.1040  0.2728  0.3637  0.31
Rangell 2001   59  0.2536  0.0053  0.0847  0.0851  0.0650  0.07
Richter 1976   31  0.4041  0.0033  0.1138  0.3343  0.3038  0.31
Rosen 1989   49  0.3169  0.0051  0.0755  0.0771  0.0365  0.05
Rosenthal 1930   62  0.2370  0.0070  0.0470  0.0471  0.0471  0.04
Rosenthal 1931   85  0.0485  0.0084  0.0283  0.0273  0.0385  0.02
Rosenthal 1931b   84  0.0490  0.0085  0.0188  0.0178  0.0290  0.01
Rosenthal 1931c   73  0.1686  0.0068  0.0468  0.0472  0.0382  0.03
Rosenthal 1931d   83  0.0581  0.0078  0.0379  0.0368  0.0381  0.03
Rossi 2007   86  0.0349  0.0087  0.0285  0.0261  0.0476  0.03
Rubinstein 1939   71  0.1862  0.0080  0.0373  0.0369  0.0477  0.03
Rubinstein 1952   51  0.3060  0.0049  0.0753  0.0746  0.0659  0.06
Rubinstein 1966   60  0.2571  0.0058  0.0658  0.0645  0.0754  0.06
Schilhawsky 1960   22  0.4237  0.0034  0.0936  0.376  0.6325  0.48
Shebanova 2002   10  0.486  0.036  0.158  0.6531  0.5015  0.57
Smith 1975   55  0.2872  0.0061  0.0563  0.0549  0.0660  0.05
Sokolov 2002   45  0.3348  0.0052  0.0752  0.0728  0.3544  0.16
Sztompka 1959   23  0.4275  0.0035  0.1030  0.4145  0.1341  0.23
Tomsic 1995   43  0.3467  0.0030  0.0931  0.4013  0.4428  0.42
Uninsky 1932   19  0.4547  0.0019  0.0817  0.5734  0.2930  0.41
Uninsky 1971   46  0.3250  0.0042  0.0942  0.2446  0.0746  0.13
Wasowski 1980   3  0.503  0.113  0.1712  0.6420  0.5510  0.59
Zak 1937   25  0.4128  0.0022  0.1013  0.638  0.684  0.65
Zak 1951   34  0.3929  0.0028  0.0821  0.549  0.6511  0.59
Random 1   82  0.0651  0.0088  0.0187  0.0133  0.2166  0.05
Random 2   88  0.0279  0.0083  0.0284  0.0242  0.1364  0.05
Random 3   87  0.0287  0.0090  0.0190  0.0126  0.2768  0.05

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).