Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   6  0.6628  0.007  0.149  0.625  0.597  0.60
Anderszewski 2003   35  0.5218  0.0025  0.0831  0.2827  0.3031  0.29
Ashkenazy 1981   49  0.4882  0.0049  0.0556  0.0573  0.0479  0.04
Bacha 2000   78  0.3869  0.0075  0.0381  0.0347  0.0763  0.05
Badura 1965   41  0.5278  0.0040  0.0638  0.2122  0.3832  0.28
Barbosa 1983   65  0.4575  0.0069  0.0473  0.0469  0.0476  0.04
Biret 1990   29  0.5629  0.0032  0.0730  0.2931  0.2535  0.27
Blet 2003   58  0.4648  0.0071  0.0559  0.0553  0.0565  0.05
Block 1995   77  0.3874  0.0081  0.0382  0.0385  0.0290  0.02
Blumental 1952   50  0.4820  0.0028  0.0834  0.269  0.3929  0.32
Boshniakovich 1969   32  0.5370  0.0053  0.0847  0.0848  0.0758  0.07
Brailowsky 1960   73  0.4047  0.0083  0.0383  0.0378  0.0385  0.03
Bunin 1987   30  0.5549  0.0026  0.0726  0.3710  0.5124  0.43
Bunin 1987b   31  0.5430  0.0027  0.0827  0.3610  0.5122  0.43
Chiu 1999   76  0.3864  0.0078  0.0387  0.0353  0.0569  0.04
Cohen 1997   88  0.2451  0.0088  0.0468  0.0476  0.0480  0.04
Cortot 1951   20  0.585  0.0315  0.1119  0.462  0.758  0.59
Csalog 1996   85  0.3287  0.0086  0.0288  0.0284  0.0389  0.02
Czerny 1949   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1990   1  0.742  0.132  0.462  0.842  0.811  0.82
Duchoud 2007   66  0.4460  0.0065  0.0377  0.0353  0.0578  0.04
Ezaki 2006   4  0.676  0.024  0.146  0.666  0.625  0.64
Falvay 1989   52  0.4737  0.0068  0.0467  0.0450  0.0664  0.05
Farrell 1958   34  0.5213  0.0138  0.0735  0.257  0.5027  0.35
Ferenczy 1958   42  0.5134  0.0034  0.0641  0.1520  0.3838  0.24
Fliere 1977   25  0.5688  0.0039  0.0536  0.2359  0.0547  0.11
Fou 1978   62  0.4561  0.0060  0.0557  0.0570  0.0472  0.04
Francois 1956   8  0.6523  0.0012  0.167  0.662  0.744  0.70
Friedman 1923   79  0.3789  0.0054  0.0946  0.0915  0.4640  0.20
Friedman 1923b   80  0.3790  0.0051  0.0748  0.0717  0.4542  0.18
Friedman 1930   47  0.4836  0.0046  0.0750  0.0715  0.4741  0.18
Garcia 2007   87  0.3165  0.0077  0.0379  0.0363  0.0487  0.03
Garcia 2007b   86  0.3166  0.0076  0.0384  0.0353  0.0488  0.03
Gierzod 1998   11  0.649  0.018  0.195  0.683  0.596  0.63
Gornostaeva 1994   9  0.647  0.0217  0.1213  0.5611  0.5713  0.56
Groot 1988   54  0.4740  0.0059  0.0462  0.0464  0.0483  0.04
Harasiewicz 1955   12  0.6217  0.0110  0.248  0.649  0.529  0.58
Hatto 1993   70  0.4279  0.0050  0.0751  0.0766  0.0562  0.06
Hatto 1997   45  0.4916  0.0130  0.1023  0.4325  0.2828  0.35
Horowitz 1949   53  0.4785  0.0064  0.0378  0.0355  0.0574  0.04
Indjic 1988   68  0.4342  0.0048  0.0653  0.0657  0.0660  0.06
Kapell 1951   14  0.614  0.075  0.1514  0.557  0.5116  0.53
Kissin 1993   33  0.5380  0.0045  0.0645  0.1237  0.1844  0.15
Kushner 1989   19  0.5855  0.0031  0.0933  0.2834  0.2436  0.26
Luisada 1991   61  0.4686  0.0072  0.0464  0.0463  0.0567  0.04
Lushtak 2004   46  0.4983  0.0044  0.0642  0.1353  0.0557  0.08
Malcuzynski 1961   10  0.643  0.083  0.204  0.742  0.752  0.74
Magaloff 1978   44  0.5027  0.0058  0.0463  0.0465  0.0470  0.04
Magin 1975   57  0.4650  0.0036  0.0644  0.1339  0.1545  0.14
Michalowski 1933   63  0.4535  0.0033  0.0739  0.1713  0.4433  0.27
Milkina 1970   26  0.5610  0.0120  0.1018  0.4728  0.3825  0.42
Mohovich 1999   39  0.5246  0.0043  0.0640  0.1650  0.0748  0.11
Moravec 1969   23  0.578  0.0121  0.1325  0.414  0.6618  0.52
Morozova 2008   28  0.5656  0.0022  0.1220  0.4514  0.4223  0.43
Neighaus 1950   15  0.6133  0.0013  0.1410  0.6014  0.4815  0.54
Niedzielski 1931   56  0.4668  0.0056  0.0460  0.0447  0.0571  0.04
Ohlsson 1999   27  0.5645  0.0037  0.0729  0.3036  0.2337  0.26
Osinska 1989   3  0.6711  0.0111  0.223  0.745  0.683  0.71
Pachmann 1927   83  0.3376  0.0087  0.0385  0.0380  0.0386  0.03
Paderewski 1930   64  0.4584  0.0070  0.0475  0.0454  0.0575  0.04
Perlemuter 1992   60  0.4667  0.0073  0.0476  0.0469  0.0468  0.04
Pierdomenico 2008   75  0.3938  0.0079  0.0474  0.0447  0.0859  0.06
Poblocka 1999   24  0.5691  0.0029  0.0928  0.3532  0.2730  0.31
Rabcewiczowa 1932   17  0.6012  0.0123  0.1117  0.497  0.5219  0.50
Rachmaninoff 1923   21  0.5772  0.0019  0.1122  0.458  0.5220  0.48
Rangell 2001   71  0.4019  0.0066  0.0471  0.0452  0.0581  0.04
Richter 1976   55  0.4762  0.0061  0.0655  0.0643  0.1649  0.10
Rosen 1989   43  0.5058  0.0047  0.0749  0.0744  0.1154  0.09
Rosenthal 1930   40  0.5222  0.0042  0.0643  0.1313  0.5834  0.27
Rosenthal 1931   81  0.3573  0.0082  0.0466  0.0441  0.1952  0.09
Rosenthal 1931b   84  0.3252  0.0084  0.0386  0.0344  0.1066  0.05
Rosenthal 1931c   59  0.4639  0.0055  0.0652  0.0619  0.4743  0.17
Rosenthal 1931d   82  0.3441  0.0085  0.0469  0.0453  0.0582  0.04
Rossi 2007   69  0.4243  0.0080  0.0380  0.0330  0.2155  0.08
Rubinstein 1939   72  0.4015  0.0167  0.0470  0.0439  0.1656  0.08
Rubinstein 1952   74  0.4014  0.0163  0.0472  0.0466  0.0484  0.04
Rubinstein 1966   48  0.4826  0.0057  0.0465  0.0450  0.0861  0.06
Schilhawsky 1960   16  0.6131  0.0016  0.1421  0.4516  0.5121  0.48
Shebanova 2002   51  0.4753  0.0062  0.0558  0.0580  0.0477  0.04
Smith 1975   13  0.6125  0.0018  0.1315  0.557  0.5314  0.54
Sokolov 2002   22  0.5763  0.0024  0.1124  0.4119  0.4226  0.41
Sztompka 1959   5  0.6659  0.006  0.1211  0.606  0.5510  0.57
Tomsic 1995   67  0.4457  0.0074  0.0461  0.0479  0.0473  0.04
Uninsky 1932   18  0.6024  0.0014  0.1516  0.507  0.5717  0.53
Uninsky 1971   7  0.6521  0.009  0.2112  0.585  0.5511  0.56
Wasowski 1980   37  0.5232  0.0052  0.0654  0.0632  0.2246  0.11
Zak 1937   38  0.5277  0.0041  0.0737  0.2166  0.0451  0.09
Zak 1951   36  0.5254  0.0035  0.0632  0.2845  0.1439  0.20
Average   2  0.731  0.521  0.521  0.8532  0.3712  0.56
Random 1   91  -0.0471  0.0091  0.0191  0.0147  0.0491  0.02
Random 2   89  0.0181  0.0089  0.0289  0.028  0.4553  0.09
Random 3   90  -0.0244  0.0090  0.0290  0.026  0.4650  0.10

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).