Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.5749  0.007  0.1210  0.4823  0.447  0.46
Anderszewski 2003   52  0.4437  0.0056  0.0557  0.0561  0.0470  0.04
Ashkenazy 1981   54  0.4379  0.0062  0.0556  0.0571  0.0478  0.04
Bacha 2000   67  0.4159  0.0067  0.0473  0.0458  0.0561  0.04
Badura 1965   74  0.3863  0.0077  0.0387  0.0355  0.0575  0.04
Barbosa 1983   56  0.4311  0.0118  0.0618  0.3826  0.3710  0.37
Biret 1990   2  0.617  0.023  0.193  0.607  0.572  0.58
Blet 2003   64  0.4164  0.0055  0.0465  0.0456  0.0571  0.04
Block 1995   62  0.4160  0.0053  0.0561  0.0571  0.0376  0.04
Blumental 1952   28  0.5073  0.0021  0.0824  0.2922  0.2820  0.28
Boshniakovich 1969   51  0.4576  0.0075  0.0386  0.0381  0.0387  0.03
Brailowsky 1960   69  0.4171  0.0083  0.0383  0.0380  0.0381  0.03
Bunin 1987   68  0.4121  0.0073  0.0468  0.0452  0.0579  0.04
Bunin 1987b   71  0.4027  0.0074  0.0470  0.0465  0.0466  0.04
Chiu 1999   57  0.4323  0.0058  0.0464  0.0452  0.0563  0.04
Cohen 1997   82  0.3645  0.0076  0.0378  0.0322  0.3247  0.10
Cortot 1951   33  0.4942  0.0036  0.0935  0.2016  0.4616  0.30
Csalog 1996   75  0.3848  0.0078  0.0382  0.0348  0.0757  0.05
Czerny 1949   5  0.6010  0.019  0.137  0.5217  0.495  0.50
Czerny 1990   8  0.5872  0.008  0.1012  0.4529  0.2912  0.36
Duchoud 2007   61  0.4258  0.0071  0.0379  0.0355  0.0574  0.04
Ezaki 2006   11  0.5616  0.0115  0.0619  0.3746  0.0735  0.16
Falvay 1989   32  0.4928  0.0032  0.0636  0.1835  0.2229  0.20
Farrell 1958   22  0.5141  0.0019  0.0713  0.4416  0.428  0.43
Ferenczy 1958   39  0.4814  0.0126  0.0831  0.2118  0.4019  0.29
Fliere 1977   26  0.5151  0.0044  0.0543  0.1266  0.0452  0.07
Fou 1978   47  0.4689  0.0039  0.0538  0.1746  0.0843  0.12
Francois 1956   10  0.564  0.025  0.226  0.5210  0.574  0.54
Friedman 1923   87  0.2767  0.0086  0.0375  0.0353  0.0680  0.04
Friedman 1923b   88  0.2684  0.0085  0.0381  0.0374  0.0488  0.03
Friedman 1930   65  0.4146  0.0066  0.0466  0.0451  0.0658  0.05
Garcia 2007   79  0.3768  0.0072  0.0471  0.0453  0.0660  0.05
Garcia 2007b   78  0.3787  0.0070  0.0377  0.0365  0.0490  0.03
Gierzod 1998   20  0.5234  0.0022  0.0822  0.3652  0.0541  0.13
Gornostaeva 1994   4  0.616  0.026  0.172  0.6210  0.581  0.60
Groot 1988   45  0.4726  0.0043  0.0645  0.1173  0.0353  0.06
Harasiewicz 1955   41  0.4725  0.0031  0.0627  0.2655  0.0546  0.11
Hatto 1993   85  0.3369  0.0079  0.0388  0.0387  0.0389  0.03
Hatto 1997   70  0.4061  0.0049  0.0652  0.0665  0.0459  0.05
Horowitz 1949   81  0.3613  0.0187  0.0376  0.0371  0.0385  0.03
Indjic 1988   84  0.3388  0.0080  0.0467  0.0481  0.0469  0.04
Kapell 1951   7  0.595  0.024  0.235  0.5614  0.426  0.48
Kissin 1993   53  0.4485  0.0064  0.0653  0.0671  0.0456  0.05
Kushner 1989   12  0.5622  0.0013  0.0616  0.4039  0.1723  0.26
Luisada 1991   48  0.4586  0.0059  0.0555  0.0573  0.0462  0.04
Lushtak 2004   38  0.4818  0.0117  0.0615  0.4238  0.1722  0.27
Malcuzynski 1961   42  0.4755  0.0054  0.0558  0.0574  0.0367  0.04
Magaloff 1978   19  0.538  0.0112  0.0630  0.2243  0.1333  0.17
Magin 1975   63  0.4190  0.0057  0.0560  0.0578  0.0365  0.04
Michalowski 1933   37  0.4852  0.0034  0.0529  0.2423  0.3618  0.29
Milkina 1970   25  0.5156  0.0041  0.0634  0.2060  0.0645  0.11
Mohovich 1999   17  0.549  0.0120  0.0711  0.4737  0.2613  0.35
Moravec 1969   24  0.5120  0.0130  0.0732  0.2118  0.3917  0.29
Morozova 2008   27  0.5030  0.0029  0.0628  0.2552  0.0644  0.12
Neighaus 1950   15  0.5440  0.0025  0.1021  0.3750  0.0639  0.15
Niedzielski 1931   77  0.3862  0.0081  0.0384  0.0367  0.0383  0.03
Ohlsson 1999   36  0.4829  0.0050  0.0651  0.0674  0.0455  0.05
Osinska 1989   6  0.6031  0.0010  0.178  0.5132  0.349  0.42
Pachmann 1927   80  0.3724  0.0084  0.0374  0.0358  0.0568  0.04
Paderewski 1930   30  0.5015  0.0135  0.0633  0.2019  0.3124  0.25
Perlemuter 1992   34  0.4982  0.0028  0.0626  0.2733  0.2226  0.24
Pierdomenico 2008   66  0.4180  0.0068  0.0380  0.0360  0.0564  0.04
Poblocka 1999   21  0.5239  0.0027  0.0725  0.2750  0.0640  0.13
Rabcewiczowa 1932   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rachmaninoff 1923   35  0.4843  0.0011  0.0723  0.3034  0.1927  0.24
Rangell 2001   55  0.433  0.0333  0.0442  0.1263  0.0550  0.08
Richter 1976   86  0.2974  0.0088  0.0469  0.0488  0.0286  0.03
Rosen 1989   16  0.5475  0.0014  0.0614  0.4329  0.2714  0.34
Rosenthal 1930   29  0.5017  0.0145  0.0741  0.1319  0.4925  0.25
Rosenthal 1931   73  0.3935  0.0051  0.0559  0.0523  0.4538  0.15
Rosenthal 1931b   76  0.3857  0.0052  0.0846  0.0824  0.4231  0.18
Rosenthal 1931c   44  0.4744  0.0047  0.0748  0.0718  0.4832  0.18
Rosenthal 1931d   72  0.4036  0.0048  0.0747  0.0722  0.4034  0.17
Rossi 2007   58  0.4265  0.0060  0.0554  0.0511  0.4637  0.15
Rubinstein 1939   83  0.3550  0.0082  0.0385  0.0367  0.0482  0.03
Rubinstein 1952   43  0.4753  0.0046  0.0749  0.0733  0.2442  0.13
Rubinstein 1966   31  0.5047  0.0040  0.0539  0.1738  0.2330  0.20
Schilhawsky 1960   50  0.4554  0.0063  0.0463  0.0456  0.0572  0.04
Shebanova 2002   46  0.4691  0.0061  0.0462  0.0465  0.0573  0.04
Smith 1975   13  0.5433  0.0016  0.079  0.4929  0.2711  0.36
Sokolov 2002   23  0.5132  0.0042  0.0837  0.1842  0.1436  0.16
Sztompka 1959   3  0.612  0.122  0.204  0.5810  0.533  0.55
Tomsic 1995   49  0.4512  0.0138  0.0544  0.1265  0.0548  0.08
Uninsky 1932   18  0.5338  0.0024  0.1020  0.3728  0.3015  0.33
Uninsky 1971   14  0.5419  0.0123  0.0817  0.3836  0.1921  0.27
Wasowski 1980   40  0.4870  0.0037  0.0840  0.1468  0.0451  0.07
Zak 1937   60  0.4281  0.0069  0.0472  0.0480  0.0384  0.03
Zak 1951   59  0.4277  0.0065  0.0650  0.0664  0.0554  0.05
Average   1  0.681  0.571  0.571  0.8153  0.0628  0.22
Random 1   91  -0.1166  0.0091  0.0191  0.0181  0.0291  0.01
Random 2   89  0.0278  0.0089  0.0289  0.0221  0.3449  0.08
Random 3   90  -0.0383  0.0090  0.0290  0.0244  0.0777  0.04

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).