Blet 2003

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   33  0.3922  0.0138  0.0834  0.3934  0.3435  0.36
Anderszewski 2003   69  0.2054  0.0072  0.0470  0.0475  0.0470  0.04
Ashkenazy 1981   18  0.4611  0.0126  0.0820  0.5639  0.3032  0.41
Bacha 2000   81  0.1181  0.0068  0.0472  0.0475  0.0374  0.03
Badura 1965   70  0.2089  0.0080  0.0377  0.0373  0.0380  0.03
Barbosa 1983   22  0.4243  0.0019  0.0911  0.657  0.673  0.66
Biret 1990   51  0.3031  0.0044  0.0744  0.1628  0.4740  0.27
Blet 2003   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Block 1995   42  0.3626  0.0041  0.0940  0.2845  0.1044  0.17
Blumental 1952   65  0.2138  0.0066  0.0566  0.0573  0.0473  0.04
Boshniakovich 1969   48  0.3261  0.0045  0.0845  0.1549  0.0749  0.10
Brailowsky 1960   78  0.1468  0.0078  0.0373  0.0375  0.0476  0.03
Bunin 1987   37  0.388  0.0216  0.0827  0.4912  0.5619  0.52
Bunin 1987b   36  0.3814  0.0117  0.1426  0.5012  0.5617  0.53
Chiu 1999   14  0.4816  0.0127  0.1019  0.5733  0.3527  0.45
Cohen 1997   76  0.1583  0.0083  0.0283  0.0286  0.0289  0.02
Cortot 1951   67  0.2064  0.0063  0.0662  0.0650  0.0659  0.06
Csalog 1996   39  0.3752  0.0046  0.0751  0.0727  0.3943  0.17
Czerny 1949   82  0.0690  0.0087  0.0187  0.0167  0.0487  0.02
Czerny 1990   41  0.3684  0.0042  0.0842  0.2533  0.4337  0.33
Duchoud 2007   43  0.3644  0.0030  0.1036  0.3831  0.3536  0.36
Ezaki 2006   77  0.1574  0.0076  0.0281  0.0275  0.0383  0.02
Falvay 1989   73  0.1877  0.0075  0.0282  0.0281  0.0384  0.02
Farrell 1958   49  0.3221  0.0148  0.0849  0.0832  0.3246  0.16
Ferenczy 1958   91  -0.0385  0.0090  0.0190  0.0182  0.0386  0.02
Fliere 1977   3  0.5435  0.0010  0.144  0.7129  0.538  0.61
Fou 1978   55  0.3056  0.0056  0.0755  0.0781  0.0364  0.05
Francois 1956   58  0.2665  0.0057  0.0658  0.0639  0.3048  0.13
Friedman 1923   12  0.489  0.0114  0.1310  0.6523  0.5412  0.59
Friedman 1923b   8  0.4920  0.0113  0.098  0.6620  0.615  0.63
Friedman 1930   5  0.5012  0.018  0.136  0.6824  0.566  0.62
Garcia 2007   64  0.2275  0.0060  0.0752  0.0762  0.0556  0.06
Garcia 2007b   25  0.4113  0.0115  0.0925  0.5312  0.689  0.60
Gierzod 1998   90  0.0146  0.0082  0.0375  0.0387  0.0288  0.02
Gornostaeva 1994   80  0.1215  0.0174  0.0378  0.0387  0.0290  0.02
Groot 1988   13  0.486  0.0212  0.107  0.6821  0.4516  0.55
Harasiewicz 1955   10  0.487  0.0222  0.1212  0.6421  0.4321  0.52
Hatto 1993   9  0.484  0.063  0.1724  0.5422  0.5120  0.52
Hatto 1997   28  0.4123  0.0024  0.1017  0.5717  0.4523  0.51
Horowitz 1949   19  0.4517  0.0121  0.1035  0.3830  0.4430  0.41
Indjic 1988   15  0.4718  0.015  0.1315  0.6024  0.5414  0.57
Kapell 1951   30  0.4033  0.0018  0.1021  0.5615  0.4722  0.51
Kissin 1993   29  0.4078  0.0032  0.0828  0.4624  0.5224  0.49
Kushner 1989   62  0.2366  0.0070  0.0467  0.0480  0.0469  0.04
Luisada 1991   2  0.572  0.262  0.362  0.795  0.781  0.78
Lushtak 2004   71  0.1945  0.0064  0.0657  0.0650  0.0657  0.06
Malcuzynski 1961   54  0.3042  0.0058  0.0660  0.0650  0.0753  0.06
Magaloff 1978   59  0.2667  0.0061  0.0850  0.0866  0.0452  0.06
Magin 1975   16  0.4627  0.0011  0.1523  0.5420  0.6113  0.57
Michalowski 1933   17  0.4637  0.0025  0.1216  0.5918  0.4718  0.53
Milkina 1970   75  0.1657  0.0077  0.0379  0.0373  0.0379  0.03
Mohovich 1999   68  0.2058  0.0065  0.0565  0.0562  0.0567  0.05
Moravec 1969   53  0.3055  0.0051  0.0946  0.0956  0.0451  0.06
Morozova 2008   40  0.3632  0.0047  0.0947  0.0978  0.0455  0.06
Neighaus 1950   6  0.4959  0.006  0.153  0.7210  0.537  0.62
Niedzielski 1931   27  0.4125  0.0028  0.0830  0.4428  0.3434  0.39
Ohlsson 1999   21  0.4339  0.0033  0.1033  0.4036  0.1641  0.25
Osinska 1989   66  0.2079  0.0067  0.0468  0.0477  0.0375  0.03
Pachmann 1927   45  0.3353  0.0049  0.0661  0.0646  0.0950  0.07
Paderewski 1930   7  0.495  0.049  0.155  0.699  0.712  0.70
Perlemuter 1992   31  0.4019  0.0139  0.0938  0.3635  0.4433  0.40
Pierdomenico 2008   57  0.2728  0.0055  0.0563  0.0556  0.0562  0.05
Poblocka 1999   38  0.3824  0.0037  0.1229  0.4519  0.4328  0.44
Rabcewiczowa 1932   79  0.1263  0.0073  0.0376  0.0347  0.0963  0.05
Rachmaninoff 1923   34  0.3934  0.0040  0.1041  0.2729  0.3638  0.31
Rangell 2001   60  0.2540  0.0054  0.0848  0.0852  0.0558  0.06
Richter 1976   32  0.4041  0.0034  0.1139  0.3344  0.3039  0.31
Rosen 1989   50  0.3169  0.0052  0.0656  0.0672  0.0372  0.04
Rosenthal 1930   63  0.2370  0.0071  0.0471  0.0472  0.0471  0.04
Rosenthal 1931   86  0.0486  0.0085  0.0284  0.0274  0.0385  0.02
Rosenthal 1931b   85  0.0491  0.0086  0.0189  0.0179  0.0291  0.01
Rosenthal 1931c   74  0.1687  0.0069  0.0469  0.0473  0.0382  0.03
Rosenthal 1931d   84  0.0582  0.0079  0.0380  0.0369  0.0381  0.03
Rossi 2007   87  0.0348  0.0088  0.0286  0.0262  0.0477  0.03
Rubinstein 1939   72  0.1862  0.0081  0.0374  0.0370  0.0478  0.03
Rubinstein 1952   52  0.3060  0.0050  0.0754  0.0747  0.0660  0.06
Rubinstein 1966   61  0.2571  0.0059  0.0659  0.0646  0.0754  0.06
Schilhawsky 1960   23  0.4236  0.0035  0.0937  0.376  0.6325  0.48
Shebanova 2002   11  0.4810  0.017  0.159  0.6532  0.5015  0.57
Smith 1975   56  0.2872  0.0062  0.0564  0.0550  0.0661  0.05
Sokolov 2002   46  0.3347  0.0053  0.0753  0.0729  0.3545  0.16
Sztompka 1959   24  0.4276  0.0036  0.1031  0.4146  0.1342  0.23
Tomsic 1995   44  0.3473  0.0031  0.0832  0.4014  0.4429  0.42
Uninsky 1932   20  0.4549  0.0020  0.0818  0.5735  0.2931  0.41
Uninsky 1971   47  0.3250  0.0043  0.0943  0.2447  0.0747  0.13
Wasowski 1980   4  0.503  0.084  0.1713  0.6421  0.5510  0.59
Zak 1937   26  0.4130  0.0023  0.1014  0.639  0.684  0.65
Zak 1951   35  0.3929  0.0029  0.0822  0.5410  0.6511  0.59
Average   1  0.601  0.321  0.321  0.8332  0.2526  0.46
Random 1   83  0.0651  0.0089  0.0188  0.0133  0.2366  0.05
Random 2   89  0.0280  0.0084  0.0285  0.0242  0.1465  0.05
Random 3   88  0.0288  0.0091  0.0191  0.0126  0.2868  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).