Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   8  0.642  0.162  0.153  0.583  0.595  0.58
Anderszewski 2003   23  0.6112  0.0225  0.079  0.531  0.634  0.58
Ashkenazy 1981   18  0.6237  0.0022  0.0812  0.5212  0.5315  0.52
Bacha 2000   45  0.5333  0.0044  0.0544  0.105  0.5844  0.24
Badura 1965   50  0.5243  0.0042  0.1141  0.246  0.5741  0.37
Barbosa 1983   72  0.4658  0.0070  0.0374  0.0370  0.0488  0.03
Biret 1990   51  0.5284  0.0048  0.0552  0.0550  0.0683  0.05
Blet 2003   65  0.4783  0.0078  0.0287  0.0253  0.0589  0.03
Block 1995   73  0.4666  0.0054  0.0558  0.0532  0.2062  0.10
Blumental 1952   43  0.5422  0.0119  0.0637  0.343  0.4935  0.41
Boshniakovich 1969   10  0.644  0.117  0.1216  0.497  0.668  0.57
Brailowsky 1960   52  0.5135  0.0065  0.0468  0.0423  0.3955  0.12
Bunin 1987   71  0.4671  0.0083  0.0464  0.0457  0.0587  0.04
Bunin 1987b   74  0.4677  0.0082  0.0372  0.0353  0.0586  0.04
Chiu 1999   79  0.4387  0.0071  0.0380  0.0345  0.0781  0.05
Cohen 1997   85  0.3873  0.0084  0.0381  0.0326  0.2771  0.09
Cortot 1951   63  0.4864  0.0063  0.0469  0.0428  0.2764  0.10
Csalog 1996   75  0.4574  0.0081  0.0382  0.0329  0.2967  0.09
Czerny 1949   7  0.645  0.045  0.182  0.594  0.681  0.63
Czerny 1990   22  0.6154  0.0021  0.0522  0.4414  0.4730  0.45
Duchoud 2007   64  0.4779  0.0072  0.0373  0.0338  0.1778  0.07
Ezaki 2006   5  0.6438  0.0029  0.0723  0.4411  0.5023  0.47
Falvay 1989   40  0.5436  0.0049  0.0554  0.0535  0.2159  0.10
Farrell 1958   58  0.4972  0.0064  0.0467  0.0441  0.1375  0.07
Ferenczy 1958   60  0.4949  0.0075  0.0377  0.0328  0.2768  0.09
Fliere 1977   2  0.6613  0.016  0.185  0.5713  0.577  0.57
Fou 1978   35  0.5620  0.0116  0.0835  0.3422  0.4139  0.37
Francois 1956   38  0.5563  0.0046  0.0746  0.0724  0.4347  0.17
Friedman 1923   84  0.3861  0.0074  0.0285  0.0228  0.2880  0.07
Friedman 1923b   83  0.3980  0.0073  0.0384  0.0324  0.3163  0.10
Friedman 1930   61  0.4970  0.0043  0.0843  0.1512  0.5043  0.27
Garcia 2007   82  0.4050  0.0080  0.0375  0.0316  0.3661  0.10
Garcia 2007b   86  0.3778  0.0079  0.0286  0.0225  0.2679  0.07
Gierzod 1998   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Gornostaeva 1994   15  0.6329  0.0036  0.0931  0.386  0.6122  0.48
Groot 1988   56  0.5019  0.0152  0.0649  0.0653  0.0584  0.05
Harasiewicz 1955   31  0.5817  0.018  0.0811  0.5216  0.4621  0.49
Hatto 1993   39  0.5441  0.0024  0.0719  0.478  0.5418  0.50
Hatto 1997   34  0.5632  0.0017  0.0617  0.485  0.5317  0.50
Horowitz 1949   66  0.4782  0.0069  0.0383  0.0335  0.3560  0.10
Indjic 1988   36  0.5540  0.0023  0.0520  0.478  0.5714  0.52
Kapell 1951   28  0.5957  0.0034  0.0929  0.3918  0.3937  0.39
Kissin 1993   12  0.641  0.191  0.186  0.5514  0.5411  0.54
Kushner 1989   1  0.6714  0.0111  0.078  0.547  0.589  0.56
Luisada 1991   33  0.5727  0.0026  0.0833  0.3619  0.4834  0.42
Lushtak 2004   30  0.5821  0.0132  0.0934  0.3611  0.5232  0.43
Malcuzynski 1961   14  0.6424  0.0130  0.0814  0.506  0.6010  0.55
Magaloff 1978   17  0.6228  0.0037  0.1030  0.386  0.5327  0.45
Magin 1975   32  0.588  0.0315  0.0624  0.4311  0.5026  0.46
Michalowski 1933   78  0.4385  0.0059  0.0747  0.0715  0.4045  0.17
Milkina 1970   29  0.5946  0.0040  0.1436  0.3421  0.4140  0.37
Mohovich 1999   21  0.6126  0.0039  0.1432  0.3820  0.4933  0.43
Moravec 1969   44  0.5347  0.0056  0.0553  0.0518  0.3949  0.14
Morozova 2008   41  0.5425  0.0041  0.1042  0.2418  0.3342  0.28
Neighaus 1950   9  0.6430  0.0012  0.0810  0.524  0.5712  0.54
Niedzielski 1931   47  0.5315  0.0118  0.0538  0.334  0.6128  0.45
Ohlsson 1999   3  0.663  0.123  0.134  0.584  0.593  0.58
Osinska 1989   13  0.6445  0.0027  0.0721  0.449  0.5419  0.49
Pachmann 1927   80  0.4260  0.0086  0.0371  0.0338  0.1877  0.07
Paderewski 1930   54  0.5086  0.0060  0.0460  0.0411  0.3656  0.12
Perlemuter 1992   57  0.5065  0.0055  0.0559  0.0534  0.2158  0.10
Pierdomenico 2008   70  0.4742  0.0076  0.0370  0.0332  0.2373  0.08
Poblocka 1999   11  0.6418  0.0110  0.0813  0.513  0.5613  0.53
Rabcewiczowa 1932   49  0.5252  0.0045  0.0551  0.0521  0.3652  0.13
Rachmaninoff 1923   77  0.4481  0.0057  0.0550  0.0548  0.0682  0.05
Rangell 2001   55  0.5048  0.0062  0.0465  0.0435  0.2072  0.09
Richter 1976   69  0.4755  0.0077  0.0379  0.0340  0.1776  0.07
Rosen 1989   6  0.6416  0.0113  0.117  0.545  0.636  0.58
Rosenthal 1930   46  0.5367  0.0061  0.0463  0.0416  0.5051  0.14
Rosenthal 1931   67  0.4744  0.0066  0.0466  0.0415  0.5648  0.15
Rosenthal 1931b   68  0.4751  0.0067  0.0376  0.0312  0.5654  0.13
Rosenthal 1931c   42  0.5423  0.0147  0.0556  0.0514  0.5746  0.17
Rosenthal 1931d   76  0.4576  0.0068  0.0462  0.0422  0.3757  0.12
Rossi 2007   87  0.3253  0.0087  0.0461  0.0451  0.0585  0.04
Rubinstein 1939   81  0.4268  0.0085  0.0378  0.0337  0.1674  0.07
Rubinstein 1952   59  0.4959  0.0050  0.0648  0.0640  0.1765  0.10
Rubinstein 1966   37  0.5531  0.0053  0.0745  0.0734  0.2750  0.14
Schilhawsky 1960   19  0.6234  0.0033  0.1026  0.424  0.5820  0.49
Shebanova 2002   4  0.656  0.044  0.121  0.607  0.592  0.59
Smith 1975   16  0.6269  0.0031  0.0728  0.414  0.5424  0.47
Sokolov 2002   26  0.609  0.0338  0.1139  0.327  0.4736  0.39
Sztompka 1959   20  0.6111  0.0214  0.0718  0.4812  0.4725  0.47
Tomsic 1995   48  0.5262  0.0051  0.0555  0.0516  0.3653  0.13
Uninsky 1932   53  0.5110  0.0220  0.0640  0.3115  0.4738  0.38
Uninsky 1971   25  0.607  0.049  0.0815  0.508  0.5216  0.51
Wasowski 1980   62  0.4875  0.0058  0.0557  0.0540  0.1566  0.09
Zak 1937   24  0.6056  0.0035  0.0827  0.4115  0.5029  0.45
Zak 1951   27  0.6039  0.0028  0.0825  0.4216  0.4631  0.44
Random 1   90  -0.0690  0.0090  0.0190  0.0183  0.0290  0.01
Random 2   89  0.0088  0.0088  0.0289  0.0213  0.3969  0.09
Random 3   88  0.0089  0.0089  0.0288  0.0215  0.3770  0.09

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).