Blet 2003

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   7  0.5759  0.0012  0.0914  0.4156  0.0517  0.14
Anderszewski 2003   31  0.5177  0.0052  0.0555  0.0549  0.0557  0.05
Ashkenazy 1981   63  0.4348  0.0063  0.0560  0.0587  0.0283  0.03
Bacha 2000   53  0.4644  0.0023  0.0729  0.2744  0.1013  0.16
Badura 1965   39  0.5020  0.0150  0.0557  0.0545  0.0946  0.07
Barbosa 1983   43  0.4922  0.0141  0.0641  0.1468  0.0445  0.07
Biret 1990   17  0.534  0.055  0.198  0.4845  0.098  0.21
Blet 2003   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Block 1995   60  0.4411  0.0213  0.0934  0.1957  0.0534  0.10
Blumental 1952   45  0.4946  0.0021  0.0821  0.3362  0.0432  0.11
Boshniakovich 1969   5  0.5823  0.018  0.115  0.5248  0.0810  0.20
Brailowsky 1960   50  0.4766  0.0061  0.0464  0.0454  0.0653  0.05
Bunin 1987   84  0.3578  0.0087  0.0466  0.0449  0.0567  0.04
Bunin 1987b   83  0.3553  0.0086  0.0373  0.0367  0.0476  0.03
Chiu 1999   71  0.4171  0.0069  0.0370  0.0372  0.0472  0.03
Cohen 1997   77  0.405  0.046  0.1025  0.306  0.493  0.38
Cortot 1951   76  0.4072  0.0065  0.0465  0.0463  0.0569  0.04
Csalog 1996   37  0.502  0.077  0.139  0.4521  0.382  0.41
Czerny 1949   49  0.4767  0.0062  0.0652  0.0682  0.0365  0.04
Czerny 1990   23  0.5279  0.0040  0.0639  0.1579  0.0442  0.08
Duchoud 2007   87  0.3369  0.0072  0.0377  0.0364  0.0566  0.04
Ezaki 2006   14  0.5417  0.0145  0.0545  0.0965  0.0448  0.06
Falvay 1989   59  0.4486  0.0078  0.0286  0.0264  0.0574  0.03
Farrell 1958   82  0.3790  0.0073  0.0380  0.0380  0.0475  0.03
Ferenczy 1958   36  0.5138  0.0019  0.0933  0.2035  0.277  0.23
Fliere 1977   2  0.643  0.072  0.342  0.6753  0.069  0.20
Fou 1978   4  0.589  0.024  0.184  0.5645  0.115  0.25
Francois 1956   46  0.4875  0.0058  0.0649  0.0667  0.0460  0.05
Friedman 1923   64  0.4334  0.0071  0.0379  0.0373  0.0488  0.03
Friedman 1923b   62  0.4349  0.0066  0.0369  0.0371  0.0484  0.03
Friedman 1930   75  0.4158  0.0083  0.0372  0.0375  0.0480  0.03
Garcia 2007   47  0.4880  0.0055  0.0846  0.0865  0.0452  0.06
Garcia 2007b   57  0.4573  0.0054  0.0650  0.0662  0.0461  0.05
Gierzod 1998   6  0.5765  0.0016  0.0913  0.4260  0.0422  0.13
Gornostaeva 1994   33  0.5141  0.0049  0.0556  0.0569  0.0368  0.04
Groot 1988   44  0.4924  0.0128  0.0620  0.3448  0.0618  0.14
Harasiewicz 1955   10  0.5519  0.0138  0.0638  0.1781  0.0347  0.07
Hatto 1993   38  0.5029  0.0014  0.0811  0.4464  0.0424  0.13
Hatto 1997   30  0.5174  0.0015  0.1312  0.4366  0.0421  0.13
Horowitz 1949   68  0.4226  0.0170  0.0381  0.0365  0.0564  0.04
Indjic 1988   27  0.5113  0.019  0.1010  0.4455  0.0515  0.15
Kapell 1951   29  0.5118  0.0127  0.0628  0.2875  0.0430  0.11
Kissin 1993   12  0.5556  0.0034  0.0631  0.2267  0.0438  0.09
Kushner 1989   11  0.5550  0.0033  0.0627  0.2966  0.0429  0.11
Luisada 1991   3  0.636  0.023  0.283  0.6419  0.371  0.49
Lushtak 2004   19  0.5357  0.0024  0.0719  0.3554  0.0523  0.13
Malcuzynski 1961   80  0.3825  0.0184  0.0367  0.0369  0.0477  0.03
Magaloff 1978   67  0.4287  0.0077  0.0287  0.0288  0.0290  0.02
Magin 1975   25  0.5232  0.0048  0.0748  0.0775  0.0354  0.05
Michalowski 1933   51  0.4712  0.0157  0.0653  0.0639  0.2131  0.11
Milkina 1970   8  0.5635  0.0011  0.087  0.4961  0.0514  0.16
Mohovich 1999   15  0.5310  0.0210  0.086  0.4950  0.0811  0.20
Moravec 1969   69  0.4291  0.0080  0.0285  0.0270  0.0389  0.02
Morozova 2008   41  0.5045  0.0047  0.0651  0.0666  0.0458  0.05
Neighaus 1950   26  0.5147  0.0018  0.0815  0.4055  0.0519  0.14
Niedzielski 1931   34  0.5121  0.0129  0.0537  0.1758  0.0535  0.09
Ohlsson 1999   54  0.4627  0.0042  0.0643  0.1163  0.0544  0.07
Osinska 1989   16  0.5361  0.0031  0.0522  0.3268  0.0428  0.11
Pachmann 1927   88  0.3188  0.0088  0.0368  0.0380  0.0379  0.03
Paderewski 1930   74  0.4182  0.0068  0.0374  0.0365  0.0478  0.03
Perlemuter 1992   18  0.5315  0.0120  0.0817  0.3934  0.214  0.29
Pierdomenico 2008   85  0.3551  0.0085  0.0376  0.0364  0.0562  0.04
Poblocka 1999   20  0.5263  0.0030  0.0523  0.3163  0.0526  0.12
Rabcewiczowa 1932   61  0.4468  0.0035  0.0635  0.1960  0.0436  0.09
Rachmaninoff 1923   66  0.4281  0.0082  0.0371  0.0379  0.0473  0.03
Rangell 2001   86  0.3328  0.0074  0.0282  0.0272  0.0485  0.03
Richter 1976   52  0.478  0.0246  0.0558  0.0556  0.0555  0.05
Rosen 1989   13  0.5464  0.0025  0.0718  0.3652  0.0616  0.15
Rosenthal 1930   70  0.4239  0.0075  0.0288  0.0259  0.0481  0.03
Rosenthal 1931   81  0.3830  0.0081  0.0378  0.0346  0.0856  0.05
Rosenthal 1931b   78  0.3954  0.0079  0.0284  0.0262  0.0586  0.03
Rosenthal 1931c   73  0.4160  0.0076  0.0283  0.0251  0.0687  0.03
Rosenthal 1931d   79  0.3833  0.0064  0.0463  0.0440  0.1939  0.09
Rossi 2007   72  0.4155  0.0067  0.0375  0.0366  0.0471  0.03
Rubinstein 1939   55  0.4543  0.0056  0.0554  0.0582  0.0363  0.04
Rubinstein 1952   56  0.4576  0.0051  0.0561  0.0574  0.0470  0.04
Rubinstein 1966   40  0.5083  0.0039  0.0636  0.1847  0.0827  0.12
Schilhawsky 1960   28  0.5116  0.0144  0.0444  0.1064  0.0450  0.06
Shebanova 2002   48  0.4852  0.0053  0.0559  0.0547  0.0751  0.06
Smith 1975   24  0.5231  0.0043  0.0542  0.1173  0.0443  0.07
Sokolov 2002   65  0.4336  0.0026  0.0540  0.1566  0.0440  0.08
Sztompka 1959   32  0.517  0.0222  0.0726  0.3056  0.0620  0.13
Tomsic 1995   58  0.4562  0.0060  0.0562  0.0553  0.0749  0.06
Uninsky 1932   42  0.5084  0.0059  0.0747  0.0781  0.0359  0.05
Uninsky 1971   9  0.5514  0.0117  0.0816  0.3951  0.0712  0.17
Wasowski 1980   21  0.5237  0.0032  0.0624  0.3061  0.0525  0.12
Zak 1937   22  0.5242  0.0036  0.0730  0.2279  0.0437  0.09
Zak 1951   35  0.5140  0.0037  0.0832  0.2070  0.0533  0.10
Average   1  0.671  0.451  0.441  0.7354  0.076  0.23
Random 1   89  -0.0585  0.0089  0.0289  0.0221  0.3041  0.08
Random 2   91  -0.1389  0.0091  0.0191  0.0183  0.0291  0.01
Random 3   90  -0.0870  0.0090  0.0290  0.0263  0.0482  0.03

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).