Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   15  0.5960  0.0022  0.1121  0.4031  0.3228  0.36
Anderszewski 2003   70  0.4516  0.0069  0.0648  0.0671  0.0376  0.04
Ashkenazy 1981   23  0.5875  0.0015  0.1119  0.4426  0.3823  0.41
Bacha 2000   65  0.4839  0.0068  0.0556  0.0526  0.3650  0.13
Badura 1965   69  0.4622  0.0039  0.0743  0.1224  0.3639  0.21
Barbosa 1983   30  0.5648  0.0033  0.0830  0.3011  0.5124  0.39
Biret 1990   14  0.5961  0.0012  0.0910  0.547  0.579  0.55
Blet 2003   37  0.5328  0.0054  0.0650  0.0628  0.2455  0.12
Block 1995   68  0.4776  0.0066  0.0467  0.0439  0.1366  0.07
Blumental 1952   55  0.5062  0.0062  0.0558  0.0533  0.1762  0.09
Boshniakovich 1969   8  0.615  0.006  0.114  0.653  0.693  0.67
Brailowsky 1960   58  0.4929  0.0064  0.0562  0.0529  0.3651  0.13
Bunin 1987   49  0.5163  0.0055  0.0475  0.0429  0.2857  0.11
Bunin 1987b   51  0.5077  0.0056  0.0559  0.0531  0.2954  0.12
Chiu 1999   16  0.5921  0.0011  0.0914  0.524  0.676  0.59
Cohen 1997   86  0.3078  0.0085  0.0386  0.0348  0.0577  0.04
Cortot 1951   76  0.3949  0.0081  0.0476  0.0474  0.0480  0.04
Csalog 1996   39  0.5314  0.0038  0.0737  0.214  0.6427  0.37
Czerny 1949   41  0.5230  0.0048  0.0465  0.0436  0.2161  0.09
Czerny 1990   24  0.5764  0.0028  0.0733  0.2837  0.1736  0.22
Duchoud 2007   62  0.487  0.0067  0.0471  0.0443  0.1365  0.07
Ezaki 2006   13  0.6031  0.0027  0.1424  0.3926  0.3826  0.38
Falvay 1989   7  0.613  0.0025  0.1023  0.3915  0.5321  0.45
Farrell 1958   50  0.5079  0.0051  0.0552  0.0524  0.3153  0.12
Ferenczy 1958   72  0.4223  0.0074  0.0478  0.0469  0.0385  0.03
Fliere 1977   3  0.6380  0.004  0.115  0.6224  0.4611  0.53
Fou 1978   9  0.6150  0.0017  0.119  0.5915  0.4513  0.52
Francois 1956   45  0.516  0.0046  0.0561  0.0526  0.3949  0.14
Friedman 1923   77  0.3815  0.0073  0.0380  0.0335  0.1867  0.07
Friedman 1923b   75  0.4040  0.0072  0.0554  0.0530  0.2458  0.11
Friedman 1930   71  0.432  0.0063  0.0474  0.0440  0.1664  0.08
Garcia 2007   74  0.4165  0.0076  0.0477  0.0421  0.3156  0.11
Garcia 2007b   82  0.3632  0.0077  0.0563  0.0544  0.0871  0.06
Gierzod 1998   12  0.609  0.0016  0.0915  0.5027  0.4122  0.45
Gornostaeva 1994   60  0.4911  0.0065  0.0466  0.0458  0.0478  0.04
Groot 1988   32  0.5481  0.0029  0.0726  0.3617  0.4325  0.39
Harasiewicz 1955   18  0.594  0.002  0.243  0.677  0.535  0.60
Hatto 1993   54  0.5082  0.0031  0.0734  0.2823  0.2133  0.24
Hatto 1997   47  0.5151  0.0032  0.0935  0.2734  0.1738  0.21
Horowitz 1949   28  0.5633  0.0010  0.1125  0.384  0.6415  0.49
Indjic 1988   43  0.5266  0.0024  0.1028  0.3318  0.3329  0.33
Kapell 1951   25  0.5741  0.0034  0.1031  0.2941  0.1635  0.22
Kissin 1993   2  0.6452  0.003  0.182  0.707  0.662  0.68
Kushner 1989   19  0.5917  0.0030  0.0727  0.3539  0.1632  0.24
Luisada 1991   20  0.598  0.005  0.1118  0.4515  0.5116  0.48
Lushtak 2004   11  0.6024  0.008  0.158  0.602  0.614  0.60
Malcuzynski 1961   40  0.5267  0.0040  0.0540  0.1638  0.1744  0.16
Magaloff 1978   42  0.5242  0.0047  0.0469  0.0439  0.1763  0.08
Magin 1975   48  0.5168  0.0023  0.1032  0.2826  0.3030  0.29
Michalowski 1933   84  0.3353  0.0078  0.0647  0.0654  0.0668  0.06
Milkina 1970   26  0.5643  0.0014  0.0917  0.4816  0.4519  0.46
Mohovich 1999   6  0.6144  0.0019  0.1116  0.5014  0.5612  0.53
Moravec 1969   66  0.4883  0.0071  0.0646  0.0651  0.0472  0.05
Morozova 2008   38  0.5345  0.0036  0.0736  0.2334  0.1937  0.21
Neighaus 1950   10  0.6118  0.009  0.137  0.6110  0.518  0.56
Niedzielski 1931   59  0.4969  0.0050  0.0553  0.058  0.5443  0.16
Ohlsson 1999   22  0.5834  0.0013  0.0911  0.5420  0.4317  0.48
Osinska 1989   17  0.5925  0.0021  0.0913  0.5319  0.4714  0.50
Pachmann 1927   46  0.5135  0.0045  0.0472  0.043  0.6445  0.16
Paderewski 1930   78  0.3754  0.0080  0.0384  0.0362  0.0483  0.03
Perlemuter 1992   33  0.5436  0.0043  0.0644  0.1224  0.3540  0.20
Pierdomenico 2008   64  0.4855  0.0060  0.0560  0.0520  0.3652  0.13
Poblocka 1999   29  0.5626  0.0035  0.0929  0.3233  0.2531  0.28
Rabcewiczowa 1932   73  0.4270  0.0075  0.0479  0.0471  0.0474  0.04
Rachmaninoff 1923   44  0.5156  0.0037  0.0838  0.1927  0.2934  0.23
Rangell 2001   61  0.4846  0.0058  0.0468  0.0421  0.3259  0.11
Richter 1976   57  0.4984  0.0053  0.0649  0.0628  0.3548  0.14
Rosen 1989   31  0.5547  0.0041  0.0539  0.1739  0.1546  0.16
Rosenthal 1930   80  0.3685  0.0084  0.0385  0.0378  0.0386  0.03
Rosenthal 1931   85  0.3286  0.0086  0.0382  0.0368  0.0384  0.03
Rosenthal 1931b   83  0.3571  0.0082  0.0387  0.0355  0.0581  0.04
Rosenthal 1931c   79  0.3787  0.0083  0.0383  0.0374  0.0388  0.03
Rosenthal 1931d   81  0.3688  0.0079  0.0381  0.0355  0.0579  0.04
Rossi 2007   87  0.2889  0.0087  0.0470  0.0480  0.0382  0.03
Rubinstein 1939   67  0.4727  0.0070  0.0745  0.0715  0.4042  0.17
Rubinstein 1952   21  0.5819  0.0020  0.0922  0.3914  0.5520  0.46
Rubinstein 1966   5  0.6237  0.0018  0.1112  0.5314  0.5510  0.54
Schilhawsky 1960   27  0.5657  0.0026  0.1020  0.4411  0.5318  0.48
Shebanova 2002   4  0.6358  0.007  0.146  0.6210  0.557  0.58
Smith 1975   53  0.5072  0.0061  0.0564  0.0576  0.0373  0.04
Sokolov 2002   35  0.5359  0.0042  0.0541  0.1543  0.1347  0.14
Sztompka 1959   63  0.4810  0.0057  0.0473  0.0473  0.0475  0.04
Tomsic 1995   34  0.5412  0.0044  0.0742  0.1322  0.3241  0.20
Uninsky 1932   52  0.5020  0.0059  0.0557  0.0546  0.0870  0.06
Uninsky 1971   36  0.5313  0.0049  0.0651  0.0646  0.0769  0.06
Wasowski 1980   56  0.5090  0.0052  0.0555  0.0539  0.1560  0.09
Zak 1937   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Zak 1951   1  0.981  1.001  0.991  1.001  1.001  1.00
Random 1   88  -0.0573  0.0089  0.0189  0.0139  0.1287  0.03
Random 2   90  -0.0838  0.0088  0.0188  0.0185  0.0290  0.01
Random 3   89  -0.0774  0.0090  0.0190  0.0173  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).