Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   3  0.6138  0.003  0.224  0.5632  0.325  0.42
Anderszewski 2003   49  0.4757  0.0045  0.0551  0.0567  0.0474  0.04
Ashkenazy 1981   40  0.4921  0.0130  0.0631  0.1953  0.0541  0.10
Bacha 2000   71  0.4065  0.0074  0.0376  0.0361  0.0562  0.04
Badura 1965   46  0.4867  0.0046  0.0556  0.0535  0.2935  0.12
Barbosa 1983   8  0.563  0.045  0.146  0.5215  0.444  0.48
Biret 1990   28  0.5118  0.0117  0.1418  0.4138  0.1613  0.26
Blet 2003   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Block 1995   62  0.4311  0.0221  0.0933  0.1946  0.0637  0.11
Blumental 1952   65  0.4244  0.0055  0.0561  0.0562  0.0476  0.04
Boshniakovich 1969   20  0.5358  0.0033  0.0532  0.1952  0.0540  0.10
Brailowsky 1960   68  0.4274  0.0078  0.0386  0.0383  0.0381  0.03
Bunin 1987   53  0.4755  0.0054  0.0645  0.0640  0.1249  0.08
Bunin 1987b   52  0.4760  0.0053  0.0462  0.0439  0.1547  0.08
Chiu 1999   51  0.4751  0.0056  0.0557  0.0565  0.0466  0.04
Cohen 1997   87  0.2989  0.0082  0.0377  0.0365  0.0488  0.03
Cortot 1951   67  0.4276  0.0060  0.0558  0.0562  0.0477  0.04
Csalog 1996   48  0.479  0.0235  0.0543  0.1028  0.3223  0.18
Czerny 1949   56  0.4680  0.0062  0.0552  0.0558  0.0559  0.05
Czerny 1990   4  0.5646  0.0011  0.0911  0.4450  0.0725  0.18
Duchoud 2007   58  0.4566  0.0047  0.0550  0.0530  0.2734  0.12
Ezaki 2006   16  0.5434  0.0027  0.0725  0.2863  0.0531  0.12
Falvay 1989   54  0.4672  0.0075  0.0473  0.0474  0.0468  0.04
Farrell 1958   69  0.4278  0.0076  0.0549  0.0565  0.0556  0.05
Ferenczy 1958   50  0.4722  0.0136  0.0542  0.1121  0.3620  0.20
Fliere 1977   1  0.651  0.511  0.501  0.7523  0.462  0.59
Fou 1978   13  0.5440  0.0018  0.0914  0.4350  0.0626  0.16
Francois 1956   42  0.4947  0.0050  0.0467  0.0447  0.0580  0.04
Friedman 1923   78  0.3885  0.0069  0.0466  0.0431  0.2045  0.09
Friedman 1923b   75  0.3852  0.0067  0.0470  0.0431  0.2144  0.09
Friedman 1930   72  0.3931  0.0063  0.0559  0.0560  0.0558  0.05
Garcia 2007   79  0.3787  0.0072  0.0475  0.0453  0.0660  0.05
Garcia 2007b   81  0.3732  0.0068  0.0468  0.0443  0.0953  0.06
Gierzod 1998   47  0.4786  0.0057  0.0553  0.0587  0.0286  0.03
Gornostaeva 1994   39  0.4923  0.0128  0.0735  0.1566  0.0450  0.08
Groot 1988   19  0.5329  0.0025  0.0719  0.3938  0.1912  0.27
Harasiewicz 1955   31  0.5127  0.0024  0.0821  0.3259  0.0530  0.13
Hatto 1993   44  0.494  0.0314  0.1317  0.4139  0.1317  0.23
Hatto 1997   34  0.5075  0.0015  0.1220  0.3828  0.239  0.30
Horowitz 1949   64  0.4236  0.0073  0.0380  0.0365  0.0384  0.03
Indjic 1988   35  0.5014  0.0113  0.1116  0.4239  0.1514  0.25
Kapell 1951   10  0.5616  0.016  0.085  0.5237  0.217  0.33
Kissin 1993   14  0.5410  0.0223  0.0724  0.2848  0.0728  0.14
Kushner 1989   23  0.5281  0.0044  0.0544  0.1054  0.0646  0.08
Luisada 1991   2  0.612  0.092  0.292  0.6711  0.531  0.60
Lushtak 2004   17  0.5439  0.009  0.1210  0.4743  0.1215  0.24
Malcuzynski 1961   55  0.4615  0.0165  0.0463  0.0468  0.0472  0.04
Magaloff 1978   66  0.4284  0.0071  0.0474  0.0481  0.0382  0.03
Magin 1975   41  0.4920  0.0158  0.0646  0.0666  0.0455  0.05
Michalowski 1933   63  0.4333  0.0043  0.0641  0.1131  0.3221  0.19
Milkina 1970   43  0.4948  0.0051  0.0554  0.0572  0.0471  0.04
Mohovich 1999   15  0.5426  0.0020  0.1012  0.4451  0.0724  0.18
Moravec 1969   61  0.4463  0.0070  0.0471  0.0467  0.0463  0.04
Morozova 2008   22  0.5337  0.0032  0.0630  0.2162  0.0539  0.10
Neighaus 1950   11  0.557  0.024  0.173  0.5731  0.226  0.35
Niedzielski 1931   57  0.4517  0.0161  0.0548  0.0547  0.0554  0.05
Ohlsson 1999   33  0.5135  0.0037  0.0534  0.1554  0.0542  0.09
Osinska 1989   38  0.4970  0.0048  0.0547  0.0568  0.0464  0.04
Pachmann 1927   76  0.3883  0.0083  0.0382  0.0353  0.0673  0.04
Paderewski 1930   45  0.4824  0.0138  0.0537  0.146  0.3916  0.23
Perlemuter 1992   9  0.565  0.0310  0.097  0.5110  0.473  0.49
Pierdomenico 2008   82  0.3654  0.0081  0.0387  0.0377  0.0483  0.03
Poblocka 1999   6  0.5661  0.0012  0.1013  0.4440  0.1810  0.28
Rabcewiczowa 1932   70  0.4173  0.0059  0.0555  0.0564  0.0470  0.04
Rachmaninoff 1923   59  0.4550  0.0052  0.0560  0.0579  0.0467  0.04
Rangell 2001   73  0.3928  0.0066  0.0472  0.0444  0.1052  0.06
Richter 1976   36  0.506  0.0249  0.0465  0.0446  0.0757  0.05
Rosen 1989   32  0.5143  0.0039  0.0538  0.1361  0.0548  0.08
Rosenthal 1930   74  0.3977  0.0080  0.0385  0.0357  0.0575  0.04
Rosenthal 1931   84  0.3188  0.0086  0.0384  0.0366  0.0485  0.03
Rosenthal 1931b   85  0.3071  0.0087  0.0469  0.0463  0.0478  0.04
Rosenthal 1931c   77  0.3856  0.0079  0.0383  0.0351  0.0489  0.03
Rosenthal 1931d   83  0.3159  0.0077  0.0381  0.0347  0.0761  0.05
Rossi 2007   86  0.3068  0.0085  0.0379  0.0359  0.0565  0.04
Rubinstein 1939   80  0.3779  0.0084  0.0378  0.0357  0.0569  0.04
Rubinstein 1952   60  0.4469  0.0064  0.0464  0.0455  0.0579  0.04
Rubinstein 1966   29  0.5162  0.0042  0.0539  0.1245  0.1136  0.11
Schilhawsky 1960   24  0.5225  0.0031  0.0626  0.2847  0.0629  0.13
Shebanova 2002   25  0.5253  0.0041  0.0540  0.1247  0.0743  0.09
Smith 1975   12  0.5512  0.0116  0.149  0.4849  0.0722  0.18
Sokolov 2002   37  0.5042  0.0034  0.0629  0.2256  0.0538  0.10
Sztompka 1959   7  0.5613  0.018  0.108  0.4935  0.1611  0.28
Tomsic 1995   27  0.5230  0.0040  0.0536  0.1440  0.1527  0.14
Uninsky 1932   18  0.5319  0.0122  0.0823  0.3042  0.1619  0.22
Uninsky 1971   5  0.5641  0.007  0.0815  0.4332  0.248  0.32
Wasowski 1980   30  0.518  0.0219  0.0822  0.3136  0.1618  0.22
Zak 1937   21  0.5345  0.0029  0.0628  0.2450  0.0632  0.12
Zak 1951   26  0.5249  0.0026  0.0827  0.2756  0.0533  0.12
Random 1   88  -0.0282  0.0088  0.0288  0.0224  0.2651  0.07
Random 2   90  -0.0990  0.0090  0.0190  0.0176  0.0290  0.01
Random 3   89  -0.0264  0.0089  0.0289  0.0247  0.0487  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).