Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   21  0.5918  0.0025  0.1123  0.4526  0.3824  0.41
Anderszewski 2003   22  0.5817  0.0027  0.1225  0.4115  0.4821  0.44
Ashkenazy 1981   59  0.4856  0.0060  0.0460  0.0480  0.0387  0.03
Bacha 2000   74  0.4411  0.0176  0.0376  0.0349  0.0672  0.04
Badura 1965   66  0.4671  0.0065  0.0549  0.0539  0.2450  0.11
Barbosa 1983   69  0.4643  0.0041  0.0540  0.1636  0.2437  0.20
Biret 1990   23  0.5833  0.0032  0.0729  0.3333  0.2432  0.28
Blet 2003   51  0.4955  0.0059  0.0467  0.0436  0.1557  0.08
Block 1995   26  0.5767  0.0028  0.1227  0.3616  0.4226  0.39
Blumental 1952   82  0.3881  0.0071  0.0377  0.0368  0.0486  0.03
Boshniakovich 1969   11  0.6431  0.009  0.0820  0.5014  0.5014  0.50
Brailowsky 1960   38  0.5563  0.0053  0.0546  0.0532  0.3346  0.13
Bunin 1987   56  0.4832  0.0058  0.0462  0.0437  0.1858  0.08
Bunin 1987b   61  0.4850  0.0061  0.0463  0.0437  0.1655  0.08
Chiu 1999   78  0.4345  0.0068  0.0458  0.0448  0.0669  0.05
Cohen 1997   88  0.3353  0.0075  0.0287  0.0240  0.2066  0.06
Cortot 1951   58  0.4840  0.0070  0.0374  0.0339  0.1663  0.07
Csalog 1996   76  0.4336  0.0077  0.0278  0.0246  0.0776  0.04
Czerny 1949   10  0.6413  0.0119  0.1111  0.5713  0.569  0.56
Czerny 1990   16  0.6130  0.0026  0.1324  0.4535  0.2131  0.31
Duchoud 2007   57  0.4834  0.0046  0.0550  0.0533  0.2349  0.11
Ezaki 2006   8  0.659  0.0111  0.106  0.6710  0.516  0.58
Falvay 1989   24  0.5812  0.017  0.0926  0.3921  0.4523  0.42
Farrell 1958   46  0.5162  0.0052  0.0548  0.0548  0.0764  0.06
Ferenczy 1958   52  0.4973  0.0074  0.0284  0.0235  0.2065  0.06
Fliere 1977   6  0.6575  0.0016  0.109  0.5838  0.3122  0.42
Fou 1978   31  0.5638  0.0020  0.1216  0.5427  0.3819  0.45
Francois 1956   14  0.6324  0.0018  0.1121  0.505  0.648  0.57
Friedman 1923   86  0.3386  0.0081  0.0372  0.0333  0.1959  0.08
Friedman 1923b   87  0.3383  0.0080  0.0281  0.0237  0.1667  0.06
Friedman 1930   68  0.4665  0.0039  0.0541  0.1524  0.3636  0.23
Garcia 2007   83  0.3874  0.0079  0.0288  0.0255  0.0685  0.03
Garcia 2007b   81  0.3958  0.0072  0.0283  0.0234  0.1571  0.05
Gierzod 1998   12  0.6359  0.0013  0.087  0.6132  0.3818  0.48
Gornostaeva 1994   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Groot 1988   33  0.5642  0.0024  0.1422  0.4630  0.3525  0.40
Harasiewicz 1955   27  0.5722  0.0010  0.1117  0.5432  0.2727  0.38
Hatto 1993   85  0.3491  0.0085  0.0375  0.0381  0.0388  0.03
Hatto 1997   79  0.3982  0.0067  0.0370  0.0378  0.0484  0.03
Horowitz 1949   71  0.4584  0.0084  0.0280  0.0265  0.0481  0.03
Indjic 1988   84  0.3490  0.0086  0.0373  0.0371  0.0575  0.04
Kapell 1951   37  0.5566  0.0045  0.0643  0.1253  0.0554  0.08
Kissin 1993   25  0.578  0.0129  0.0828  0.3434  0.2134  0.27
Kushner 1989   9  0.6515  0.0117  0.0915  0.5420  0.4415  0.49
Luisada 1991   29  0.5644  0.0036  0.0631  0.3038  0.2433  0.27
Lushtak 2004   60  0.4868  0.0056  0.0465  0.0474  0.0479  0.04
Malcuzynski 1961   5  0.6827  0.004  0.245  0.688  0.574  0.62
Magaloff 1978   7  0.6510  0.0112  0.078  0.603  0.557  0.57
Magin 1975   19  0.6020  0.0022  0.1419  0.5213  0.4913  0.50
Michalowski 1933   77  0.4389  0.0066  0.0369  0.0345  0.1561  0.07
Milkina 1970   15  0.6135  0.0014  0.0912  0.5725  0.4117  0.48
Mohovich 1999   17  0.612  0.056  0.1314  0.5519  0.5111  0.53
Moravec 1969   50  0.4929  0.0043  0.0544  0.1241  0.1645  0.14
Morozova 2008   45  0.5139  0.0042  0.0642  0.1560  0.0552  0.09
Neighaus 1950   13  0.6314  0.018  0.0913  0.5618  0.4316  0.49
Niedzielski 1931   65  0.4652  0.0083  0.0279  0.0280  0.0389  0.02
Ohlsson 1999   28  0.5619  0.0033  0.0839  0.1870  0.0456  0.08
Osinska 1989   2  0.693  0.025  0.294  0.716  0.653  0.68
Pachmann 1927   72  0.4554  0.0082  0.0285  0.0233  0.2360  0.07
Paderewski 1930   63  0.4751  0.0073  0.0286  0.0246  0.0683  0.03
Perlemuter 1992   41  0.5328  0.0030  0.0832  0.2923  0.3730  0.33
Pierdomenico 2008   73  0.4578  0.0078  0.0282  0.0256  0.0680  0.03
Poblocka 1999   34  0.5569  0.0064  0.0552  0.0555  0.0568  0.05
Rabcewiczowa 1932   18  0.616  0.0223  0.1710  0.582  0.625  0.60
Rachmaninoff 1923   47  0.5037  0.0037  0.0735  0.2438  0.1338  0.18
Rangell 2001   35  0.5570  0.0015  0.0730  0.3119  0.3729  0.34
Richter 1976   75  0.4487  0.0088  0.0461  0.0477  0.0382  0.03
Rosen 1989   3  0.694  0.022  0.352  0.774  0.722  0.74
Rosenthal 1930   32  0.5648  0.0034  0.0736  0.227  0.6328  0.37
Rosenthal 1931   49  0.4980  0.0049  0.0553  0.0510  0.6539  0.18
Rosenthal 1931b   55  0.4876  0.0050  0.0555  0.056  0.6740  0.18
Rosenthal 1931c   36  0.5564  0.0031  0.0833  0.297  0.6920  0.45
Rosenthal 1931d   48  0.5072  0.0062  0.0466  0.0414  0.5644  0.15
Rossi 2007   62  0.4861  0.0051  0.0457  0.043  0.6042  0.15
Rubinstein 1939   80  0.3921  0.0054  0.0554  0.0535  0.2151  0.10
Rubinstein 1952   64  0.4725  0.0044  0.0645  0.1234  0.2341  0.17
Rubinstein 1966   43  0.5223  0.0038  0.0734  0.2533  0.2835  0.26
Schilhawsky 1960   70  0.4660  0.0087  0.0468  0.0476  0.0477  0.04
Shebanova 2002   42  0.5349  0.0063  0.0456  0.0476  0.0478  0.04
Smith 1975   4  0.685  0.023  0.283  0.762  0.751  0.75
Sokolov 2002   20  0.597  0.0121  0.1218  0.537  0.4812  0.50
Sztompka 1959   30  0.5626  0.0035  0.0638  0.1841  0.1343  0.15
Tomsic 1995   40  0.5347  0.0048  0.0551  0.0528  0.2947  0.12
Uninsky 1932   67  0.4679  0.0069  0.0371  0.0350  0.0770  0.05
Uninsky 1971   44  0.5241  0.0055  0.0464  0.0464  0.0574  0.04
Wasowski 1980   39  0.5316  0.0047  0.0547  0.0544  0.1253  0.08
Zak 1937   54  0.4957  0.0057  0.0459  0.0467  0.0473  0.04
Zak 1951   53  0.4946  0.0040  0.0537  0.1955  0.0648  0.11
Average   1  0.761  0.731  0.721  0.8834  0.3410  0.55
Random 1   90  -0.0377  0.0090  0.0190  0.0146  0.0591  0.02
Random 2   91  -0.0788  0.0091  0.0191  0.0159  0.0490  0.02
Random 3   89  -0.0185  0.0089  0.0289  0.0230  0.2262  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).