Ashkenazy 1981

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   6  0.6612  0.018  0.179  0.5224  0.448  0.48
Anderszewski 2003   34  0.5672  0.0036  0.0638  0.1944  0.1242  0.15
Ashkenazy 1981   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bacha 2000   31  0.5818  0.0144  0.0643  0.148  0.4330  0.25
Badura 1965   38  0.5550  0.0043  0.0644  0.1326  0.3733  0.22
Barbosa 1983   58  0.4857  0.0077  0.0380  0.0357  0.0574  0.04
Biret 1990   27  0.5940  0.0033  0.0530  0.2642  0.1237  0.18
Blet 2003   73  0.4358  0.0075  0.0287  0.0260  0.0585  0.03
Block 1995   74  0.4188  0.0064  0.0558  0.0559  0.0566  0.05
Blumental 1952   22  0.6030  0.0040  0.0641  0.1763  0.0452  0.08
Boshniakovich 1969   32  0.5775  0.0031  0.0624  0.3139  0.2032  0.25
Brailowsky 1960   68  0.4539  0.0073  0.0378  0.0370  0.0569  0.04
Bunin 1987   60  0.4828  0.0046  0.0746  0.079  0.5034  0.19
Bunin 1987b   65  0.4660  0.0050  0.0750  0.0714  0.4736  0.18
Chiu 1999   36  0.5584  0.0054  0.0652  0.0645  0.1049  0.08
Cohen 1997   76  0.4051  0.0088  0.0468  0.0471  0.0387  0.03
Cortot 1951   67  0.4561  0.0061  0.0463  0.0431  0.3345  0.11
Csalog 1996   88  0.3389  0.0078  0.0376  0.0379  0.0384  0.03
Czerny 1949   37  0.5573  0.0029  0.0533  0.2546  0.1041  0.16
Czerny 1990   41  0.5370  0.0057  0.0466  0.0476  0.0476  0.04
Duchoud 2007   24  0.5922  0.0023  0.1022  0.375  0.599  0.47
Ezaki 2006   15  0.6276  0.0037  0.0635  0.2243  0.1338  0.17
Falvay 1989   72  0.4374  0.0084  0.0289  0.0267  0.0582  0.03
Farrell 1958   50  0.5219  0.0047  0.0557  0.0548  0.0758  0.06
Ferenczy 1958   82  0.3963  0.0072  0.0375  0.0371  0.0386  0.03
Fliere 1977   21  0.6116  0.0111  0.1115  0.4648  0.0735  0.18
Fou 1978   3  0.6611  0.0114  0.1010  0.5024  0.3713  0.43
Francois 1956   64  0.4777  0.0062  0.0465  0.0440  0.1854  0.08
Friedman 1923   28  0.5856  0.0024  0.1126  0.3115  0.5116  0.40
Friedman 1923b   26  0.5917  0.0120  0.1223  0.3716  0.5311  0.44
Friedman 1930   35  0.5659  0.0032  0.0631  0.2624  0.4523  0.34
Garcia 2007   63  0.4785  0.0066  0.0467  0.0468  0.0475  0.04
Garcia 2007b   55  0.4965  0.0058  0.0561  0.0567  0.0478  0.04
Gierzod 1998   20  0.6127  0.0021  0.1017  0.4348  0.0740  0.17
Gornostaeva 1994   51  0.5026  0.0059  0.0748  0.0752  0.0467  0.05
Groot 1988   54  0.4942  0.0048  0.0656  0.0653  0.0661  0.06
Harasiewicz 1955   16  0.6245  0.0019  0.1111  0.4635  0.2919  0.37
Hatto 1993   12  0.6447  0.0012  0.1318  0.4227  0.2920  0.35
Hatto 1997   11  0.6444  0.0016  0.0821  0.3829  0.2626  0.31
Horowitz 1949   30  0.5821  0.0025  0.1116  0.454  0.607  0.52
Indjic 1988   10  0.6462  0.0013  0.1019  0.4129  0.2922  0.34
Kapell 1951   57  0.4971  0.0052  0.0747  0.0769  0.0464  0.05
Kissin 1993   13  0.6324  0.0010  0.1114  0.4632  0.3715  0.41
Kushner 1989   25  0.5969  0.0035  0.0529  0.2748  0.0743  0.14
Luisada 1991   14  0.6210  0.0122  0.1025  0.3128  0.3224  0.31
Lushtak 2004   43  0.5337  0.0045  0.0645  0.1163  0.0555  0.07
Malcuzynski 1961   75  0.4014  0.0165  0.0462  0.0456  0.0571  0.04
Magaloff 1978   66  0.4580  0.0069  0.0370  0.0366  0.0481  0.03
Magin 1975   5  0.666  0.033  0.242  0.6810  0.542  0.61
Michalowski 1933   59  0.4833  0.0042  0.0642  0.1510  0.5527  0.29
Milkina 1970   40  0.5541  0.0053  0.0654  0.0650  0.0659  0.06
Mohovich 1999   42  0.5336  0.0051  0.0749  0.0751  0.0660  0.06
Moravec 1969   83  0.3990  0.0086  0.0374  0.0363  0.0479  0.03
Morozova 2008   4  0.665  0.044  0.228  0.557  0.556  0.55
Neighaus 1950   17  0.6113  0.017  0.164  0.617  0.603  0.60
Niedzielski 1931   62  0.478  0.0226  0.0828  0.2921  0.4121  0.34
Ohlsson 1999   7  0.6625  0.009  0.195  0.5910  0.564  0.57
Osinska 1989   44  0.5383  0.0055  0.0559  0.0567  0.0468  0.04
Pachmann 1927   81  0.3967  0.0087  0.0373  0.0355  0.0573  0.04
Paderewski 1930   78  0.3978  0.0080  0.0384  0.0376  0.0383  0.03
Perlemuter 1992   48  0.5266  0.0060  0.0651  0.0647  0.0657  0.06
Pierdomenico 2008   69  0.4534  0.0071  0.0371  0.0342  0.2050  0.08
Poblocka 1999   61  0.4849  0.0030  0.0537  0.2145  0.1339  0.17
Rabcewiczowa 1932   53  0.4948  0.0049  0.0653  0.0664  0.0463  0.05
Rachmaninoff 1923   18  0.612  0.065  0.136  0.589  0.555  0.56
Rangell 2001   77  0.3981  0.0074  0.0385  0.0363  0.0488  0.03
Richter 1976   47  0.529  0.0238  0.0640  0.1828  0.4528  0.28
Rosen 1989   39  0.5538  0.0041  0.0639  0.1868  0.0548  0.09
Rosenthal 1930   80  0.3946  0.0070  0.0372  0.0330  0.2847  0.09
Rosenthal 1931   85  0.3891  0.0079  0.0386  0.0339  0.2151  0.08
Rosenthal 1931b   79  0.3935  0.0076  0.0377  0.0324  0.3546  0.10
Rosenthal 1931c   86  0.3723  0.0083  0.0379  0.0357  0.0489  0.03
Rosenthal 1931d   87  0.3682  0.0085  0.0381  0.0339  0.1953  0.08
Rossi 2007   71  0.4329  0.0082  0.0383  0.0371  0.0480  0.03
Rubinstein 1939   49  0.5264  0.0067  0.0469  0.0452  0.0570  0.04
Rubinstein 1952   70  0.4443  0.0068  0.0464  0.0453  0.0577  0.04
Rubinstein 1966   33  0.5654  0.0056  0.0560  0.0555  0.0665  0.05
Schilhawsky 1960   45  0.5368  0.0028  0.0532  0.2534  0.2631  0.25
Shebanova 2002   19  0.6120  0.006  0.157  0.5723  0.3710  0.46
Smith 1975   29  0.5815  0.0127  0.0827  0.3022  0.3325  0.31
Sokolov 2002   23  0.593  0.0515  0.0920  0.3912  0.4712  0.43
Sztompka 1959   2  0.684  0.042  0.233  0.6610  0.601  0.63
Tomsic 1995   84  0.3832  0.0081  0.0382  0.0360  0.0672  0.04
Uninsky 1932   46  0.5355  0.0034  0.0534  0.2437  0.3329  0.28
Uninsky 1971   56  0.4952  0.0039  0.0636  0.2149  0.0744  0.12
Wasowski 1980   52  0.5053  0.0063  0.0655  0.0667  0.0562  0.05
Zak 1937   8  0.657  0.0218  0.1413  0.4630  0.3217  0.38
Zak 1951   9  0.6531  0.0017  0.0812  0.4630  0.3218  0.38
Average   1  0.751  0.561  0.561  0.7940  0.2214  0.42
Random 1   91  -0.1886  0.0091  0.0191  0.0191  0.0191  0.01
Random 2   90  -0.0887  0.0090  0.0190  0.0159  0.0490  0.02
Random 3   89  -0.0679  0.0089  0.0288  0.0220  0.2756  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).