Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.627  0.0110  0.1013  0.5814  0.5213  0.55
Anderszewski 2003   39  0.5422  0.0022  0.0926  0.4319  0.4324  0.43
Ashkenazy 1981   49  0.5165  0.0048  0.0657  0.0648  0.0673  0.06
Bacha 2000   47  0.5256  0.0059  0.0559  0.0516  0.4844  0.15
Badura 1965   73  0.4369  0.0072  0.0377  0.0348  0.0774  0.05
Barbosa 1983   36  0.566  0.028  0.1224  0.459  0.5721  0.51
Biret 1990   37  0.5658  0.0044  0.0644  0.1443  0.1346  0.13
Blet 2003   41  0.5414  0.0150  0.0752  0.0713  0.4442  0.18
Block 1995   27  0.5827  0.0026  0.1218  0.534  0.649  0.58
Blumental 1952   66  0.4510  0.0157  0.0656  0.0641  0.1066  0.08
Boshniakovich 1969   30  0.5832  0.0035  0.0830  0.3522  0.3929  0.37
Brailowsky 1960   9  0.634  0.0320  0.0925  0.433  0.7410  0.56
Bunin 1987   59  0.4783  0.0064  0.0469  0.0455  0.0583  0.04
Bunin 1987b   61  0.4768  0.0065  0.0465  0.0445  0.1069  0.06
Chiu 1999   54  0.4953  0.0046  0.0462  0.0437  0.2357  0.10
Cohen 1997   82  0.3737  0.0085  0.0561  0.0529  0.2655  0.11
Cortot 1951   81  0.4060  0.0070  0.0288  0.0272  0.0489  0.03
Csalog 1996   53  0.5042  0.0060  0.0748  0.0721  0.4541  0.18
Czerny 1949   48  0.5250  0.0052  0.0750  0.0740  0.1654  0.11
Czerny 1990   31  0.5772  0.0034  0.0733  0.3039  0.1636  0.22
Duchoud 2007   71  0.4447  0.0063  0.0371  0.0357  0.0582  0.04
Ezaki 2006   2  0.6816  0.005  0.213  0.752  0.683  0.71
Falvay 1989   11  0.6239  0.0021  0.1016  0.5411  0.5611  0.55
Farrell 1958   56  0.4862  0.0061  0.0751  0.0756  0.0668  0.06
Ferenczy 1958   44  0.5379  0.0058  0.0847  0.088  0.5038  0.20
Fliere 1977   7  0.6434  0.0016  0.1012  0.6335  0.3522  0.47
Fou 1978   14  0.6149  0.0015  0.099  0.6518  0.4417  0.53
Francois 1956   35  0.5648  0.0037  0.0831  0.3413  0.5426  0.43
Friedman 1923   87  0.2989  0.0087  0.0379  0.0355  0.0686  0.04
Friedman 1923b   88  0.2990  0.0088  0.0463  0.0473  0.0484  0.04
Friedman 1930   84  0.3480  0.0069  0.0382  0.0368  0.0580  0.04
Garcia 2007   68  0.4570  0.0055  0.0655  0.068  0.6139  0.19
Garcia 2007b   85  0.3487  0.0081  0.0467  0.0459  0.0485  0.04
Gierzod 1998   16  0.6117  0.0013  0.0921  0.4933  0.3825  0.43
Gornostaeva 1994   18  0.6120  0.0024  0.1119  0.5114  0.5519  0.53
Groot 1988   4  0.673  0.032  0.244  0.753  0.634  0.69
Harasiewicz 1955   28  0.5823  0.007  0.187  0.6519  0.4515  0.54
Hatto 1993   77  0.4254  0.0032  0.1239  0.2131  0.1643  0.18
Hatto 1997   67  0.4535  0.0023  0.1135  0.2770  0.0458  0.10
Horowitz 1949   52  0.5075  0.0056  0.0558  0.0532  0.3845  0.14
Indjic 1988   75  0.4229  0.0031  0.0840  0.2136  0.1937  0.20
Kapell 1951   22  0.5930  0.0028  0.0829  0.3534  0.2533  0.30
Kissin 1993   34  0.5688  0.0036  0.0938  0.2558  0.0552  0.11
Kushner 1989   20  0.6028  0.0027  0.1422  0.4827  0.3327  0.40
Luisada 1991   21  0.5945  0.0029  0.1028  0.3826  0.3928  0.38
Lushtak 2004   24  0.5841  0.0014  0.1217  0.5414  0.5120  0.52
Malcuzynski 1961   32  0.5746  0.0039  0.0936  0.2631  0.2735  0.26
Magaloff 1978   26  0.5851  0.0038  0.0834  0.2720  0.4032  0.33
Magin 1975   50  0.5166  0.0049  0.0754  0.0749  0.0667  0.06
Michalowski 1933   86  0.3071  0.0086  0.0380  0.0362  0.0579  0.04
Milkina 1970   8  0.648  0.0111  0.118  0.6515  0.4712  0.55
Mohovich 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Moravec 1969   60  0.4767  0.0077  0.0386  0.0347  0.0575  0.04
Morozova 2008   51  0.5184  0.0051  0.0753  0.0749  0.0671  0.06
Neighaus 1950   29  0.5859  0.0030  0.1027  0.4125  0.3031  0.35
Niedzielski 1931   76  0.4243  0.0082  0.0373  0.0359  0.0387  0.03
Ohlsson 1999   40  0.5426  0.0042  0.0742  0.1654  0.0563  0.09
Osinska 1989   15  0.6152  0.0017  0.1014  0.5713  0.5214  0.54
Pachmann 1927   57  0.4861  0.0073  0.0381  0.0322  0.3851  0.11
Paderewski 1930   80  0.4181  0.0084  0.0466  0.0465  0.0478  0.04
Perlemuter 1992   23  0.5836  0.0025  0.1123  0.474  0.6016  0.53
Pierdomenico 2008   70  0.4582  0.0067  0.0470  0.0436  0.2161  0.09
Poblocka 1999   19  0.615  0.0219  0.1020  0.4922  0.3823  0.43
Rabcewiczowa 1932   43  0.5444  0.0041  0.0937  0.2611  0.4730  0.35
Rachmaninoff 1923   55  0.4821  0.0045  0.0645  0.1140  0.1250  0.11
Rangell 2001   45  0.5355  0.0054  0.0946  0.0916  0.4240  0.19
Richter 1976   62  0.4725  0.0071  0.0378  0.0353  0.0677  0.04
Rosen 1989   6  0.6512  0.016  0.306  0.665  0.645  0.65
Rosenthal 1930   65  0.4538  0.0076  0.0384  0.0333  0.2564  0.09
Rosenthal 1931   78  0.4240  0.0075  0.0385  0.0320  0.5047  0.12
Rosenthal 1931b   79  0.4177  0.0079  0.0383  0.0320  0.4548  0.12
Rosenthal 1931c   63  0.4663  0.0066  0.0374  0.0320  0.4549  0.12
Rosenthal 1931d   72  0.4364  0.0078  0.0387  0.0320  0.4256  0.11
Rossi 2007   83  0.3576  0.0083  0.0376  0.0329  0.2660  0.09
Rubinstein 1939   74  0.4291  0.0080  0.0375  0.0326  0.3062  0.09
Rubinstein 1952   13  0.6211  0.0112  0.1011  0.648  0.607  0.62
Rubinstein 1966   3  0.682  0.094  0.202  0.773  0.791  0.78
Schilhawsky 1960   64  0.4685  0.0074  0.0372  0.0365  0.0488  0.03
Shebanova 2002   33  0.5724  0.0040  0.0841  0.1674  0.0465  0.08
Smith 1975   25  0.5815  0.0033  0.0632  0.3231  0.2634  0.29
Sokolov 2002   42  0.5433  0.0047  0.0560  0.0540  0.1759  0.09
Sztompka 1959   46  0.5318  0.0053  0.0749  0.0759  0.0670  0.06
Tomsic 1995   5  0.679  0.013  0.225  0.733  0.742  0.73
Uninsky 1932   58  0.4873  0.0062  0.0464  0.0477  0.0481  0.04
Uninsky 1971   38  0.5531  0.0043  0.0643  0.1446  0.0853  0.11
Wasowski 1980   69  0.4557  0.0068  0.0468  0.0471  0.0476  0.04
Zak 1937   17  0.6119  0.0018  0.1015  0.5617  0.5018  0.53
Zak 1951   12  0.6213  0.019  0.1110  0.649  0.538  0.58
Average   1  0.761  0.671  0.671  0.8923  0.456  0.63
Random 1   91  -0.0986  0.0091  0.0191  0.0189  0.0191  0.01
Random 2   90  -0.0574  0.0090  0.0289  0.0271  0.0290  0.02
Random 3   89  -0.0378  0.0089  0.0290  0.0231  0.1672  0.06

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).