Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.5778  0.0022  0.1220  0.4042  0.2219  0.30
Anderszewski 2003   63  0.4470  0.0057  0.0649  0.0652  0.0570  0.05
Ashkenazy 1981   36  0.5154  0.0033  0.0630  0.2560  0.0447  0.10
Bacha 2000   82  0.3585  0.0084  0.0473  0.0464  0.0573  0.04
Badura 1965   55  0.4665  0.0054  0.0647  0.0659  0.0572  0.05
Barbosa 1983   49  0.4835  0.0048  0.0648  0.0658  0.0569  0.05
Biret 1990   59  0.4589  0.0058  0.0555  0.0579  0.0482  0.04
Blet 2003   12  0.5623  0.0019  0.0911  0.478  0.515  0.49
Block 1995   28  0.5315  0.0111  0.0915  0.4413  0.458  0.44
Blumental 1952   61  0.4413  0.0161  0.0559  0.0560  0.0479  0.04
Boshniakovich 1969   15  0.5518  0.0023  0.0921  0.4036  0.2418  0.31
Brailowsky 1960   65  0.4447  0.0078  0.0379  0.0352  0.0674  0.04
Bunin 1987   43  0.4934  0.0050  0.0556  0.0534  0.2148  0.10
Bunin 1987b   50  0.4841  0.0052  0.0650  0.0634  0.2241  0.11
Chiu 1999   42  0.4972  0.0060  0.0466  0.0463  0.0475  0.04
Cohen 1997   84  0.3540  0.0068  0.0474  0.0452  0.0580  0.04
Cortot 1951   72  0.3979  0.0076  0.0388  0.0357  0.0584  0.04
Csalog 1996   74  0.3827  0.0055  0.0462  0.0441  0.1460  0.07
Czerny 1949   57  0.4687  0.0070  0.0469  0.0476  0.0478  0.04
Czerny 1990   11  0.5674  0.0027  0.0726  0.3546  0.0834  0.17
Duchoud 2007   68  0.4086  0.0072  0.0385  0.0370  0.0488  0.03
Ezaki 2006   31  0.5237  0.0046  0.0646  0.0663  0.0567  0.05
Falvay 1989   21  0.5421  0.0035  0.0638  0.1934  0.2230  0.20
Farrell 1958   67  0.4138  0.0056  0.0464  0.0440  0.1652  0.08
Ferenczy 1958   62  0.4475  0.0063  0.0558  0.0534  0.2146  0.10
Fliere 1977   2  0.633  0.052  0.362  0.7022  0.461  0.57
Fou 1978   10  0.5720  0.0014  0.099  0.5138  0.2113  0.33
Francois 1956   18  0.5510  0.019  0.1210  0.4712  0.544  0.50
Friedman 1923   81  0.3563  0.0083  0.0560  0.0535  0.1851  0.09
Friedman 1923b   83  0.3569  0.0082  0.0380  0.0335  0.2155  0.08
Friedman 1930   71  0.3939  0.0073  0.0471  0.0446  0.0771  0.05
Garcia 2007   60  0.4557  0.0042  0.0642  0.146  0.6121  0.29
Garcia 2007b   69  0.4082  0.0059  0.0554  0.0529  0.2049  0.10
Gierzod 1998   39  0.5032  0.0039  0.0535  0.2160  0.0450  0.09
Gornostaeva 1994   23  0.5311  0.0115  0.0823  0.3732  0.2915  0.33
Groot 1988   8  0.5819  0.004  0.125  0.5911  0.492  0.54
Harasiewicz 1955   3  0.6116  0.013  0.183  0.6229  0.337  0.45
Hatto 1993   78  0.3760  0.0071  0.0382  0.0374  0.0489  0.03
Hatto 1997   79  0.3790  0.0077  0.0472  0.0487  0.0387  0.03
Horowitz 1949   52  0.4731  0.0062  0.0463  0.0440  0.2543  0.10
Indjic 1988   77  0.3742  0.0074  0.0384  0.0376  0.0486  0.03
Kapell 1951   54  0.4748  0.0051  0.0557  0.0551  0.0568  0.05
Kissin 1993   7  0.584  0.0413  0.0816  0.4442  0.1327  0.24
Kushner 1989   5  0.598  0.016  0.137  0.5529  0.319  0.41
Luisada 1991   29  0.5359  0.0038  0.0539  0.1848  0.0839  0.12
Lushtak 2004   24  0.5364  0.0012  0.0818  0.4149  0.0733  0.17
Malcuzynski 1961   48  0.4877  0.0041  0.0644  0.1355  0.0553  0.08
Magaloff 1978   37  0.5036  0.0032  0.0731  0.2470  0.0442  0.10
Magin 1975   40  0.509  0.0131  0.0834  0.2243  0.1036  0.15
Michalowski 1933   70  0.3980  0.0064  0.0376  0.0357  0.0677  0.04
Milkina 1970   47  0.4991  0.0049  0.0652  0.0661  0.0664  0.06
Mohovich 1999   6  0.586  0.027  0.144  0.6023  0.473  0.53
Moravec 1969   66  0.4258  0.0080  0.0386  0.0365  0.0485  0.03
Morozova 2008   16  0.5512  0.0121  0.0917  0.4333  0.2020  0.29
Neighaus 1950   14  0.5526  0.008  0.148  0.5124  0.3210  0.40
Niedzielski 1931   73  0.3822  0.0069  0.0378  0.0336  0.1659  0.07
Ohlsson 1999   53  0.4733  0.0045  0.0645  0.1252  0.0554  0.08
Osinska 1989   17  0.5552  0.0034  0.0629  0.2856  0.0540  0.12
Pachmann 1927   56  0.4644  0.0067  0.0465  0.0431  0.2745  0.10
Paderewski 1930   51  0.4814  0.0153  0.0553  0.0531  0.2144  0.10
Perlemuter 1992   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Pierdomenico 2008   64  0.4462  0.0065  0.0561  0.0548  0.0763  0.06
Poblocka 1999   41  0.5045  0.0044  0.0643  0.1378  0.0458  0.07
Rabcewiczowa 1932   45  0.4988  0.0040  0.0633  0.2226  0.2725  0.24
Rachmaninoff 1923   46  0.495  0.0210  0.1028  0.3331  0.2222  0.27
Rangell 2001   76  0.3868  0.0075  0.0381  0.0351  0.0681  0.04
Richter 1976   33  0.5243  0.0025  0.0737  0.2031  0.3124  0.25
Rosen 1989   27  0.5317  0.0126  0.0722  0.3937  0.1823  0.26
Rosenthal 1930   75  0.3881  0.0079  0.0387  0.0339  0.1661  0.07
Rosenthal 1931   85  0.3361  0.0086  0.0383  0.0344  0.1265  0.06
Rosenthal 1931b   88  0.3230  0.0085  0.0377  0.0339  0.2056  0.08
Rosenthal 1931c   80  0.3555  0.0081  0.0375  0.0340  0.1957  0.08
Rosenthal 1931d   86  0.3271  0.0087  0.0470  0.0454  0.0583  0.04
Rossi 2007   58  0.4528  0.0066  0.0467  0.049  0.4838  0.14
Rubinstein 1939   87  0.3276  0.0088  0.0468  0.0468  0.0476  0.04
Rubinstein 1952   44  0.492  0.0524  0.0841  0.1632  0.2432  0.20
Rubinstein 1966   38  0.5051  0.0047  0.0651  0.0659  0.0666  0.06
Schilhawsky 1960   30  0.5246  0.0030  0.0827  0.3537  0.2717  0.31
Shebanova 2002   13  0.557  0.0120  0.1014  0.4642  0.1228  0.23
Smith 1975   25  0.5356  0.0028  0.0724  0.3651  0.0735  0.16
Sokolov 2002   35  0.5149  0.0017  0.0919  0.4130  0.2912  0.34
Sztompka 1959   4  0.6025  0.005  0.116  0.5819  0.386  0.47
Tomsic 1995   32  0.5284  0.0036  0.0636  0.2130  0.2826  0.24
Uninsky 1932   26  0.5353  0.0037  0.0732  0.2341  0.1929  0.21
Uninsky 1971   19  0.5524  0.0016  0.0813  0.4728  0.3111  0.38
Wasowski 1980   34  0.5173  0.0043  0.0740  0.1745  0.1137  0.14
Zak 1937   22  0.5467  0.0029  0.0725  0.3545  0.1231  0.20
Zak 1951   20  0.5529  0.0018  0.1112  0.4740  0.2216  0.32
Average   1  0.701  0.661  0.651  0.8444  0.1314  0.33
Random 1   90  -0.0683  0.0090  0.0190  0.0169  0.0390  0.02
Random 2   91  -0.1150  0.0091  0.0191  0.0189  0.0191  0.01
Random 3   89  -0.0466  0.0089  0.0289  0.0222  0.2862  0.07

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).