Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   29  0.5779  0.0035  0.0527  0.3321  0.4628  0.39
Anderszewski 2003   14  0.616  0.054  0.1011  0.494  0.5716  0.53
Ashkenazy 1981   28  0.5728  0.0024  0.0924  0.4013  0.5226  0.46
Bacha 2000   81  0.3772  0.0075  0.0283  0.0239  0.1782  0.06
Badura 1965   31  0.5626  0.0147  0.0648  0.0615  0.4349  0.16
Barbosa 1983   42  0.5365  0.0054  0.0747  0.0723  0.3748  0.16
Biret 1990   58  0.4853  0.0050  0.0746  0.0719  0.3650  0.16
Blet 2003   51  0.5143  0.0057  0.0559  0.0521  0.3258  0.13
Block 1995   25  0.5821  0.0126  0.0826  0.342  0.6725  0.48
Blumental 1952   69  0.4475  0.0067  0.0469  0.0437  0.1479  0.07
Boshniakovich 1969   11  0.617  0.046  0.099  0.522  0.696  0.60
Brailowsky 1960   44  0.5254  0.0060  0.0561  0.0511  0.5746  0.17
Bunin 1987   56  0.5088  0.0042  0.0741  0.1510  0.4940  0.27
Bunin 1987b   57  0.5083  0.0043  0.0842  0.1511  0.4939  0.27
Chiu 1999   38  0.5551  0.0065  0.0557  0.0533  0.2760  0.12
Cohen 1997   85  0.3441  0.0087  0.0466  0.0471  0.0487  0.04
Cortot 1951   65  0.4659  0.0069  0.0371  0.0313  0.4764  0.12
Csalog 1996   87  0.3187  0.0086  0.0470  0.0450  0.0684  0.05
Czerny 1949   7  0.6217  0.019  0.088  0.527  0.647  0.58
Czerny 1990   9  0.6225  0.0119  0.1110  0.5011  0.6111  0.55
Duchoud 2007   76  0.4186  0.0068  0.0373  0.0333  0.2174  0.08
Ezaki 2006   1  0.665  0.057  0.1012  0.486  0.6012  0.54
Falvay 1989   41  0.5329  0.0056  0.0562  0.0531  0.3061  0.12
Farrell 1958   66  0.4678  0.0070  0.0463  0.0429  0.2570  0.10
Ferenczy 1958   64  0.4652  0.0072  0.0377  0.0322  0.3571  0.10
Fliere 1977   2  0.648  0.048  0.115  0.5310  0.579  0.55
Fou 1978   12  0.6112  0.0213  0.086  0.536  0.5810  0.55
Francois 1956   53  0.5071  0.0052  0.0556  0.0525  0.4157  0.14
Friedman 1923   74  0.4284  0.0082  0.0285  0.0229  0.2281  0.07
Friedman 1923b   72  0.4347  0.0081  0.0378  0.0328  0.2475  0.08
Friedman 1930   49  0.5131  0.0061  0.0467  0.0420  0.4259  0.13
Garcia 2007   70  0.4464  0.0066  0.0468  0.049  0.5653  0.15
Garcia 2007b   78  0.4167  0.0080  0.0282  0.0224  0.2780  0.07
Gierzod 1998   26  0.5840  0.0022  0.1016  0.4611  0.5223  0.49
Gornostaeva 1994   30  0.5748  0.0031  0.0631  0.2716  0.5429  0.38
Groot 1988   46  0.5173  0.0037  0.0639  0.1925  0.3841  0.27
Harasiewicz 1955   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Hatto 1993   50  0.5166  0.0029  0.0533  0.2411  0.4833  0.34
Hatto 1997   54  0.5062  0.0025  0.0830  0.2711  0.4532  0.35
Horowitz 1949   40  0.5333  0.0048  0.0652  0.065  0.6345  0.19
Indjic 1988   55  0.5046  0.0030  0.0935  0.2312  0.4237  0.31
Kapell 1951   35  0.5511  0.0311  0.0814  0.475  0.5321  0.50
Kissin 1993   8  0.6213  0.0212  0.0817  0.4611  0.6015  0.53
Kushner 1989   32  0.569  0.0341  0.1034  0.2421  0.4036  0.31
Luisada 1991   33  0.5658  0.0053  0.0745  0.0732  0.3151  0.15
Lushtak 2004   16  0.6070  0.0039  0.0832  0.269  0.5430  0.37
Malcuzynski 1961   10  0.611  0.181  0.181  0.622  0.701  0.66
Magaloff 1978   48  0.5145  0.0049  0.0653  0.0623  0.3355  0.14
Magin 1975   21  0.5939  0.0018  0.1022  0.437  0.5720  0.50
Michalowski 1933   61  0.4877  0.0064  0.0555  0.0516  0.4056  0.14
Milkina 1970   24  0.5814  0.0210  0.084  0.553  0.665  0.60
Mohovich 1999   27  0.5820  0.0121  0.1118  0.456  0.6514  0.54
Moravec 1969   68  0.4532  0.0059  0.0465  0.0428  0.2865  0.11
Morozova 2008   22  0.5849  0.0046  0.0649  0.0628  0.2563  0.12
Neighaus 1950   18  0.6044  0.0014  0.0815  0.475  0.5717  0.52
Niedzielski 1931   79  0.3936  0.0074  0.0376  0.0336  0.1678  0.07
Ohlsson 1999   43  0.5224  0.0144  0.0743  0.1433  0.3044  0.20
Osinska 1989   5  0.624  0.0520  0.1213  0.476  0.6213  0.54
Pachmann 1927   71  0.4450  0.0076  0.0379  0.0322  0.3868  0.11
Paderewski 1930   73  0.4256  0.0078  0.0287  0.0236  0.1783  0.06
Perlemuter 1992   15  0.6161  0.0033  0.0628  0.332  0.6227  0.45
Pierdomenico 2008   59  0.4860  0.0063  0.0560  0.0512  0.4552  0.15
Poblocka 1999   45  0.5276  0.0038  0.0637  0.2119  0.4138  0.29
Rabcewiczowa 1932   63  0.4737  0.0055  0.0554  0.0526  0.2667  0.11
Rachmaninoff 1923   34  0.5580  0.0032  0.0538  0.2113  0.4735  0.31
Rangell 2001   67  0.4515  0.0145  0.0650  0.066  0.4947  0.17
Richter 1976   6  0.6210  0.0315  0.0820  0.445  0.5919  0.51
Rosen 1989   36  0.5530  0.0040  0.0840  0.1622  0.4042  0.25
Rosenthal 1930   77  0.4189  0.0071  0.0372  0.0321  0.3672  0.10
Rosenthal 1931   80  0.3782  0.0084  0.0380  0.0324  0.4562  0.12
Rosenthal 1931b   83  0.3563  0.0085  0.0374  0.0321  0.4369  0.11
Rosenthal 1931c   82  0.3642  0.0083  0.0286  0.0234  0.2977  0.08
Rosenthal 1931d   86  0.3485  0.0077  0.0284  0.0223  0.3676  0.08
Rossi 2007   60  0.4834  0.0079  0.0381  0.0317  0.4066  0.11
Rubinstein 1939   84  0.3555  0.0073  0.0375  0.0354  0.0585  0.04
Rubinstein 1952   75  0.4127  0.0058  0.0558  0.0537  0.1873  0.09
Rubinstein 1966   62  0.4835  0.0027  0.0844  0.1427  0.3643  0.22
Schilhawsky 1960   4  0.6219  0.0128  0.0725  0.407  0.5824  0.48
Shebanova 2002   52  0.5169  0.0062  0.0464  0.0476  0.0486  0.04
Smith 1975   3  0.6423  0.0123  0.1023  0.423  0.6118  0.51
Sokolov 2002   37  0.5568  0.0017  0.1021  0.442  0.5522  0.49
Sztompka 1959   23  0.5857  0.0036  0.0629  0.2816  0.4034  0.33
Tomsic 1995   39  0.5438  0.0034  0.0636  0.2211  0.5531  0.35
Uninsky 1932   17  0.6022  0.0116  0.0919  0.453  0.698  0.56
Uninsky 1971   19  0.592  0.143  0.193  0.552  0.673  0.61
Wasowski 1980   47  0.5118  0.0151  0.0651  0.0620  0.3254  0.14
Zak 1937   20  0.5916  0.015  0.107  0.533  0.674  0.60
Zak 1951   13  0.613  0.142  0.182  0.602  0.672  0.63
Random 1   89  -0.0781  0.0090  0.0190  0.0163  0.0388  0.02
Random 2   88  -0.0690  0.0089  0.0189  0.0172  0.0290  0.01
Random 3   90  -0.0774  0.0088  0.0188  0.0165  0.0389  0.02

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).