Biret 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   13  0.6463  0.0023  0.1022  0.3826  0.4222  0.40
Anderszewski 2003   15  0.6259  0.0025  0.1021  0.3917  0.4916  0.44
Ashkenazy 1981   28  0.5919  0.0142  0.0641  0.1229  0.2643  0.18
Bacha 2000   44  0.5639  0.0063  0.0557  0.0523  0.3257  0.13
Badura 1965   75  0.477  0.0278  0.0386  0.0345  0.0978  0.05
Barbosa 1983   50  0.5423  0.0017  0.0828  0.2817  0.5223  0.38
Biret 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Blet 2003   52  0.5379  0.0044  0.0544  0.097  0.4838  0.21
Block 1995   58  0.5118  0.0146  0.0550  0.0519  0.3754  0.14
Blumental 1952   6  0.6754  0.009  0.205  0.602  0.636  0.61
Boshniakovich 1969   42  0.5738  0.0028  0.0827  0.2832  0.3232  0.30
Brailowsky 1960   36  0.5869  0.0058  0.0648  0.0614  0.5440  0.18
Bunin 1987   86  0.3480  0.0086  0.0475  0.0446  0.0585  0.04
Bunin 1987b   87  0.3283  0.0087  0.0469  0.0453  0.0582  0.04
Chiu 1999   33  0.5836  0.0059  0.0645  0.0622  0.2858  0.13
Cohen 1997   71  0.4884  0.0079  0.0384  0.0318  0.3467  0.10
Cortot 1951   59  0.5144  0.0068  0.0459  0.0418  0.4856  0.14
Csalog 1996   63  0.5046  0.0050  0.0472  0.0421  0.3762  0.12
Czerny 1949   54  0.5260  0.0061  0.0552  0.0554  0.0677  0.05
Czerny 1990   14  0.6361  0.0012  0.1112  0.4623  0.4317  0.44
Duchoud 2007   83  0.4189  0.0083  0.0471  0.0454  0.0584  0.04
Ezaki 2006   10  0.6516  0.0115  0.1018  0.4118  0.5014  0.45
Falvay 1989   29  0.5922  0.0157  0.0463  0.0421  0.4652  0.14
Farrell 1958   17  0.6253  0.0013  0.1414  0.468  0.5710  0.51
Ferenczy 1958   80  0.4675  0.0074  0.0381  0.0346  0.0776  0.05
Fliere 1977   12  0.654  0.057  0.169  0.5221  0.3619  0.43
Fou 1978   3  0.686  0.028  0.147  0.573  0.618  0.59
Francois 1956   49  0.5443  0.0037  0.0639  0.188  0.5928  0.33
Friedman 1923   73  0.4864  0.0082  0.0647  0.0664  0.0579  0.05
Friedman 1923b   77  0.4781  0.0081  0.0462  0.0462  0.0586  0.04
Friedman 1930   60  0.5037  0.0070  0.0460  0.0443  0.1871  0.08
Garcia 2007   48  0.5421  0.0145  0.0553  0.0512  0.5147  0.16
Garcia 2007b   45  0.5648  0.0036  0.0533  0.2320  0.4729  0.33
Gierzod 1998   18  0.6247  0.0021  0.1215  0.4437  0.2230  0.31
Gornostaeva 1994   53  0.5385  0.0055  0.0380  0.0328  0.3168  0.10
Groot 1988   23  0.6020  0.0116  0.0820  0.404  0.4918  0.44
Harasiewicz 1955   22  0.6165  0.0022  0.1210  0.5027  0.4512  0.47
Hatto 1993   38  0.5740  0.0033  0.0731  0.2437  0.2036  0.22
Hatto 1997   34  0.5857  0.0034  0.0635  0.2240  0.1442  0.18
Horowitz 1949   72  0.4873  0.0075  0.0382  0.0340  0.2469  0.08
Indjic 1988   30  0.5831  0.0032  0.0630  0.2438  0.1937  0.21
Kapell 1951   35  0.5828  0.0026  0.0826  0.2935  0.2233  0.25
Kissin 1993   40  0.5782  0.0048  0.0461  0.0450  0.0674  0.05
Kushner 1989   4  0.6813  0.013  0.213  0.644  0.653  0.64
Luisada 1991   31  0.5814  0.0139  0.0538  0.1933  0.2239  0.20
Lushtak 2004   25  0.6025  0.0019  0.1017  0.4311  0.5311  0.48
Malcuzynski 1961   64  0.5058  0.0030  0.0542  0.1124  0.2841  0.18
Magaloff 1978   21  0.6133  0.0035  0.0534  0.2214  0.4231  0.30
Magin 1975   57  0.5149  0.0052  0.0476  0.0468  0.0481  0.04
Michalowski 1933   82  0.4345  0.0080  0.0383  0.0336  0.2270  0.08
Milkina 1970   1  0.702  0.242  0.341  0.713  0.691  0.70
Mohovich 1999   8  0.6610  0.0110  0.198  0.564  0.667  0.61
Moravec 1969   47  0.5570  0.0056  0.0478  0.0417  0.4950  0.14
Morozova 2008   51  0.5329  0.0043  0.0443  0.1137  0.2346  0.16
Neighaus 1950   55  0.5242  0.0066  0.0474  0.0456  0.0587  0.04
Niedzielski 1931   74  0.4856  0.0062  0.0646  0.0637  0.1866  0.10
Ohlsson 1999   41  0.578  0.0127  0.0736  0.2041  0.1345  0.16
Osinska 1989   2  0.681  0.341  0.332  0.6512  0.605  0.62
Pachmann 1927   84  0.4067  0.0085  0.0385  0.0360  0.0488  0.03
Paderewski 1930   68  0.4851  0.0067  0.0467  0.0413  0.4953  0.14
Perlemuter 1992   24  0.6074  0.0029  0.0825  0.335  0.5815  0.44
Pierdomenico 2008   81  0.4586  0.0064  0.0554  0.058  0.5144  0.16
Poblocka 1999   61  0.5078  0.0049  0.0465  0.0458  0.0580  0.04
Rabcewiczowa 1932   11  0.655  0.056  0.1411  0.494  0.569  0.52
Rachmaninoff 1923   19  0.6211  0.0114  0.0823  0.3517  0.3724  0.36
Rangell 2001   62  0.5050  0.0065  0.0466  0.0414  0.4655  0.14
Richter 1976   85  0.3968  0.0084  0.0549  0.0570  0.0483  0.04
Rosen 1989   37  0.5766  0.0041  0.0737  0.1934  0.2635  0.22
Rosenthal 1930   67  0.5032  0.0071  0.0556  0.0517  0.5148  0.16
Rosenthal 1931   78  0.4617  0.0176  0.0387  0.0320  0.4265  0.11
Rosenthal 1931b   65  0.5015  0.0172  0.0555  0.0513  0.5449  0.16
Rosenthal 1931c   79  0.4676  0.0077  0.0470  0.0428  0.3764  0.12
Rosenthal 1931d   69  0.4887  0.0073  0.0379  0.0310  0.6060  0.13
Rossi 2007   46  0.5530  0.0051  0.0477  0.048  0.5251  0.14
Rubinstein 1939   32  0.5888  0.0047  0.0464  0.0421  0.3761  0.12
Rubinstein 1952   43  0.5671  0.0038  0.0532  0.2316  0.4827  0.33
Rubinstein 1966   9  0.6555  0.0018  0.0919  0.4115  0.5113  0.46
Schilhawsky 1960   66  0.5024  0.0060  0.0551  0.0552  0.0575  0.05
Shebanova 2002   16  0.6227  0.0020  0.1016  0.4334  0.2626  0.33
Smith 1975   39  0.5726  0.0031  0.0529  0.2511  0.4325  0.33
Sokolov 2002   26  0.6041  0.0040  0.0640  0.1415  0.4234  0.24
Sztompka 1959   20  0.619  0.0111  0.1213  0.4633  0.3720  0.41
Tomsic 1995   76  0.4777  0.0069  0.0458  0.0425  0.4359  0.13
Uninsky 1932   56  0.5235  0.0054  0.0468  0.0434  0.3463  0.12
Uninsky 1971   70  0.4834  0.0053  0.0473  0.0446  0.0872  0.06
Wasowski 1980   27  0.6052  0.0024  0.1324  0.3518  0.4521  0.40
Zak 1937   5  0.6712  0.015  0.176  0.604  0.674  0.63
Zak 1951   7  0.673  0.064  0.234  0.633  0.672  0.65
Random 1   90  -0.1290  0.0090  0.0190  0.0166  0.0389  0.02
Random 2   88  0.0262  0.0088  0.0288  0.0233  0.1973  0.06
Random 3   89  -0.0772  0.0089  0.0189  0.0155  0.0490  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).