Biret 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   34  0.3777  0.0048  0.0745  0.0736  0.1941  0.12
Anderszewski 2003   71  0.2573  0.0066  0.0461  0.0485  0.0383  0.03
Ashkenazy 1981   57  0.3139  0.0074  0.0468  0.0477  0.0471  0.04
Bacha 2000   69  0.2713  0.0170  0.0379  0.0375  0.0375  0.03
Badura 1965   80  0.2249  0.0067  0.0381  0.0376  0.0385  0.03
Barbosa 1983   24  0.4045  0.0023  0.1118  0.5743  0.1628  0.30
Biret 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Blet 2003   39  0.3652  0.0034  0.0935  0.3129  0.3624  0.33
Block 1995   65  0.2856  0.0065  0.0554  0.0562  0.0469  0.04
Blumental 1952   55  0.3280  0.0061  0.0555  0.0570  0.0564  0.05
Boshniakovich 1969   46  0.3350  0.0040  0.0839  0.2164  0.0549  0.10
Brailowsky 1960   53  0.3244  0.0060  0.0463  0.0458  0.0660  0.05
Bunin 1987   48  0.3382  0.0043  0.0643  0.1433  0.2332  0.18
Bunin 1987b   51  0.3262  0.0047  0.0651  0.0640  0.1942  0.11
Chiu 1999   22  0.4120  0.0025  0.1026  0.4328  0.2425  0.32
Cohen 1997   37  0.3727  0.0027  0.0929  0.3817  0.5717  0.47
Cortot 1951   66  0.2833  0.0058  0.0466  0.0442  0.1457  0.07
Csalog 1996   11  0.4417  0.0020  0.1311  0.629  0.5113  0.56
Czerny 1949   9  0.469  0.0111  0.1320  0.5419  0.6411  0.59
Czerny 1990   40  0.3640  0.0056  0.0559  0.0573  0.0473  0.04
Duchoud 2007   44  0.3453  0.0046  0.0649  0.0624  0.3337  0.14
Ezaki 2006   28  0.397  0.0212  0.1328  0.3941  0.2526  0.31
Falvay 1989   10  0.4518  0.0017  0.1110  0.6228  0.3219  0.45
Farrell 1958   13  0.4342  0.0013  0.109  0.643  0.658  0.64
Ferenczy 1958   72  0.2571  0.0078  0.0375  0.0342  0.1955  0.08
Fliere 1977   29  0.3919  0.0026  0.1132  0.3577  0.0439  0.12
Fou 1978   52  0.3238  0.0062  0.0648  0.0677  0.0365  0.04
Francois 1956   20  0.4112  0.0110  0.1612  0.622  0.783  0.70
Friedman 1923   73  0.2586  0.0073  0.0377  0.0358  0.0574  0.04
Friedman 1923b   74  0.2488  0.0068  0.0471  0.0464  0.0572  0.04
Friedman 1930   45  0.3457  0.0044  0.0644  0.1236  0.1736  0.14
Garcia 2007   78  0.2341  0.0076  0.0465  0.0449  0.0663  0.05
Garcia 2007b   43  0.3465  0.0045  0.0650  0.0641  0.1353  0.09
Gierzod 1998   85  0.1875  0.0079  0.0376  0.0380  0.0384  0.03
Gornostaeva 1994   15  0.4332  0.0021  0.1316  0.5721  0.4915  0.53
Groot 1988   27  0.3948  0.0033  0.1330  0.3745  0.0734  0.16
Harasiewicz 1955   16  0.4335  0.0016  0.118  0.6542  0.1527  0.31
Hatto 1993   33  0.3737  0.0037  0.0941  0.2061  0.0550  0.10
Hatto 1997   2  0.505  0.045  0.145  0.697  0.609  0.64
Horowitz 1949   62  0.3047  0.0059  0.0469  0.0436  0.3143  0.11
Indjic 1988   26  0.4028  0.0032  0.1425  0.4461  0.0535  0.15
Kapell 1951   31  0.3872  0.0036  0.0936  0.2653  0.0640  0.12
Kissin 1993   82  0.2160  0.0084  0.0286  0.0276  0.0481  0.03
Kushner 1989   38  0.3751  0.0042  0.0940  0.2162  0.0547  0.10
Luisada 1991   19  0.4126  0.0024  0.1022  0.4922  0.3523  0.41
Lushtak 2004   50  0.3346  0.0039  0.0738  0.2248  0.0645  0.11
Malcuzynski 1961   70  0.2587  0.0071  0.0384  0.0386  0.0378  0.03
Magaloff 1978   32  0.3730  0.0035  0.1134  0.3353  0.0538  0.13
Magin 1975   61  0.3022  0.0051  0.0556  0.0560  0.0561  0.05
Michalowski 1933   68  0.2778  0.0050  0.0652  0.0618  0.4233  0.16
Milkina 1970   5  0.473  0.092  0.292  0.775  0.742  0.75
Mohovich 1999   54  0.3276  0.0054  0.0467  0.0450  0.0570  0.04
Moravec 1969   49  0.3374  0.0049  0.0746  0.0764  0.0558  0.06
Morozova 2008   58  0.3166  0.0055  0.0560  0.0577  0.0368  0.04
Neighaus 1950   36  0.3721  0.0030  0.1033  0.3536  0.2330  0.28
Niedzielski 1931   81  0.2163  0.0077  0.0462  0.0486  0.0377  0.03
Ohlsson 1999   21  0.418  0.0114  0.1119  0.5618  0.3718  0.46
Osinska 1989   1  0.551  0.551  0.551  0.864  0.741  0.80
Pachmann 1927   83  0.2181  0.0086  0.0474  0.0482  0.0379  0.03
Paderewski 1930   86  0.1543  0.0085  0.0287  0.0281  0.0389  0.02
Perlemuter 1992   75  0.2489  0.0081  0.0378  0.0378  0.0376  0.03
Pierdomenico 2008   64  0.3070  0.0064  0.0747  0.0742  0.1251  0.09
Poblocka 1999   35  0.3754  0.0038  0.0742  0.2058  0.0546  0.10
Rabcewiczowa 1932   6  0.476  0.026  0.177  0.685  0.696  0.68
Rachmaninoff 1923   14  0.434  0.057  0.2315  0.5812  0.5412  0.56
Rangell 2001   63  0.3036  0.0057  0.0557  0.0545  0.0759  0.06
Richter 1976   60  0.3067  0.0072  0.0470  0.0472  0.0467  0.04
Rosen 1989   41  0.3555  0.0041  0.0837  0.2460  0.0448  0.10
Rosenthal 1930   59  0.3111  0.0152  0.0558  0.0540  0.2344  0.11
Rosenthal 1931   87  0.1490  0.0087  0.0383  0.0370  0.0482  0.03
Rosenthal 1931b   84  0.2079  0.0083  0.0385  0.0360  0.0487  0.03
Rosenthal 1931c   79  0.2229  0.0082  0.0472  0.0471  0.0388  0.03
Rosenthal 1931d   76  0.2469  0.0075  0.0473  0.0439  0.1556  0.08
Rossi 2007   67  0.2868  0.0069  0.0380  0.0335  0.2454  0.08
Rubinstein 1939   17  0.4331  0.0019  0.1013  0.6117  0.4614  0.53
Rubinstein 1952   25  0.4014  0.0015  0.1521  0.5434  0.3422  0.43
Rubinstein 1966   30  0.3885  0.0029  0.1323  0.4851  0.0731  0.18
Schilhawsky 1960   23  0.4061  0.0028  0.1124  0.445  0.5916  0.51
Shebanova 2002   56  0.3224  0.0063  0.0553  0.0560  0.0662  0.05
Smith 1975   4  0.4710  0.019  0.1314  0.608  0.6110  0.60
Sokolov 2002   18  0.4159  0.0031  0.1227  0.4119  0.4521  0.43
Sztompka 1959   77  0.2383  0.0080  0.0382  0.0376  0.0480  0.03
Tomsic 1995   47  0.3334  0.0053  0.0464  0.0474  0.0466  0.04
Uninsky 1932   42  0.3425  0.0022  0.1131  0.3732  0.2429  0.30
Uninsky 1971   12  0.4316  0.0018  0.1017  0.5729  0.3520  0.45
Wasowski 1980   3  0.482  0.093  0.323  0.755  0.625  0.68
Zak 1937   8  0.4623  0.008  0.226  0.698  0.637  0.66
Zak 1951   7  0.4615  0.004  0.244  0.734  0.664  0.69
Random 1   90  -0.0384  0.0089  0.0189  0.0143  0.0886  0.03
Random 2   88  0.0564  0.0088  0.0288  0.0212  0.4052  0.09
Random 3   89  -0.0358  0.0090  0.0190  0.0148  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).