Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   16  0.6122  0.0019  0.0725  0.3820  0.4824  0.43
Anderszewski 2003   51  0.5040  0.0059  0.0558  0.0544  0.1264  0.08
Ashkenazy 1981   11  0.627  0.0212  0.0911  0.4817  0.4818  0.48
Bacha 2000   34  0.5524  0.0046  0.0555  0.055  0.6046  0.17
Badura 1965   47  0.5127  0.0045  0.0545  0.1011  0.5142  0.23
Barbosa 1983   49  0.5034  0.0030  0.0737  0.2217  0.4435  0.31
Biret 1990   36  0.5526  0.0038  0.0636  0.2225  0.3140  0.26
Blet 2003   38  0.5432  0.0050  0.0651  0.0615  0.4351  0.16
Block 1995   33  0.5633  0.0022  0.0828  0.378  0.5025  0.43
Blumental 1952   57  0.489  0.0254  0.0652  0.0648  0.0669  0.06
Boshniakovich 1969   22  0.5910  0.0110  0.1912  0.4811  0.5513  0.51
Brailowsky 1960   24  0.5739  0.0043  0.0544  0.135  0.6836  0.30
Bunin 1987   78  0.4175  0.0083  0.0288  0.0272  0.0489  0.03
Bunin 1987b   80  0.4087  0.0084  0.0474  0.0472  0.0477  0.04
Chiu 1999   30  0.5638  0.0036  0.0831  0.2813  0.5229  0.38
Cohen 1997   64  0.4685  0.0072  0.0479  0.049  0.5155  0.14
Cortot 1951   82  0.3881  0.0082  0.0387  0.0351  0.0585  0.04
Csalog 1996   61  0.4729  0.0051  0.0554  0.0519  0.4854  0.15
Czerny 1949   66  0.4580  0.0064  0.0470  0.0457  0.0582  0.04
Czerny 1990   29  0.5621  0.0034  0.1030  0.3434  0.2338  0.28
Duchoud 2007   71  0.4447  0.0076  0.0472  0.0480  0.0388  0.03
Ezaki 2006   7  0.6313  0.0113  0.0924  0.3917  0.4526  0.42
Falvay 1989   4  0.6712  0.018  0.189  0.543  0.726  0.62
Farrell 1958   44  0.5367  0.0047  0.0648  0.0618  0.4052  0.15
Ferenczy 1958   69  0.4465  0.0080  0.0469  0.0461  0.0481  0.04
Fliere 1977   5  0.675  0.033  0.273  0.693  0.692  0.69
Fou 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Francois 1956   46  0.5162  0.0033  0.0833  0.2524  0.4433  0.33
Friedman 1923   88  0.2877  0.0088  0.0476  0.0467  0.0586  0.04
Friedman 1923b   87  0.2990  0.0087  0.0475  0.0460  0.0584  0.04
Friedman 1930   85  0.3188  0.0086  0.0384  0.0348  0.0680  0.04
Garcia 2007   79  0.4051  0.0075  0.0473  0.0442  0.1367  0.07
Garcia 2007b   81  0.4074  0.0074  0.0383  0.0335  0.1470  0.06
Gierzod 1998   32  0.5623  0.0020  0.0723  0.4136  0.3430  0.37
Gornostaeva 1994   31  0.5644  0.0028  0.0827  0.3816  0.5422  0.45
Groot 1988   23  0.5935  0.0018  0.0821  0.424  0.5717  0.49
Harasiewicz 1955   13  0.618  0.026  0.187  0.587  0.539  0.55
Hatto 1993   60  0.4766  0.0060  0.0566  0.0533  0.1563  0.09
Hatto 1997   56  0.4942  0.0041  0.0742  0.1372  0.0466  0.07
Horowitz 1949   55  0.4918  0.0052  0.0556  0.0527  0.4353  0.15
Indjic 1988   59  0.4870  0.0061  0.0747  0.0735  0.1957  0.12
Kapell 1951   53  0.4936  0.0057  0.0565  0.0559  0.0476  0.04
Kissin 1993   2  0.702  0.182  0.292  0.733  0.741  0.73
Kushner 1989   9  0.6325  0.009  0.158  0.559  0.568  0.55
Luisada 1991   18  0.6056  0.0026  0.0817  0.4511  0.5415  0.49
Lushtak 2004   21  0.6049  0.0027  0.0720  0.4317  0.4821  0.45
Malcuzynski 1961   35  0.5571  0.0040  0.0739  0.2128  0.2841  0.24
Magaloff 1978   25  0.5731  0.0032  0.0926  0.389  0.4823  0.43
Magin 1975   40  0.5415  0.0135  0.0832  0.2623  0.3634  0.31
Michalowski 1933   86  0.2955  0.0085  0.0385  0.0378  0.0387  0.03
Milkina 1970   3  0.676  0.034  0.264  0.676  0.644  0.65
Mohovich 1999   12  0.6154  0.0016  0.1118  0.449  0.6511  0.53
Moravec 1969   63  0.4637  0.0066  0.0567  0.0544  0.1165  0.07
Morozova 2008   17  0.6143  0.0011  0.1114  0.474  0.5414  0.50
Neighaus 1950   28  0.5753  0.0031  0.0722  0.4221  0.4028  0.41
Niedzielski 1931   84  0.3372  0.0081  0.0386  0.0388  0.0290  0.02
Ohlsson 1999   43  0.5346  0.0037  0.0635  0.2335  0.3039  0.26
Osinska 1989   27  0.5773  0.0023  0.0919  0.4326  0.4227  0.42
Pachmann 1927   39  0.5452  0.0048  0.0562  0.051  0.7244  0.19
Paderewski 1930   68  0.4463  0.0070  0.0480  0.0432  0.2161  0.09
Perlemuter 1992   26  0.5768  0.0039  0.0738  0.219  0.5132  0.33
Pierdomenico 2008   62  0.4776  0.0055  0.0650  0.0617  0.4250  0.16
Poblocka 1999   37  0.5520  0.0042  0.0540  0.1542  0.1849  0.16
Rabcewiczowa 1932   65  0.4686  0.0062  0.0846  0.0838  0.1756  0.12
Rachmaninoff 1923   52  0.4919  0.0049  0.0559  0.0548  0.0673  0.05
Rangell 2001   50  0.5061  0.0025  0.0734  0.246  0.5431  0.36
Richter 1976   45  0.5216  0.0053  0.0557  0.0537  0.2559  0.11
Rosen 1989   8  0.6311  0.0114  0.0910  0.519  0.5810  0.54
Rosenthal 1930   77  0.4160  0.0079  0.0564  0.0540  0.1662  0.09
Rosenthal 1931   70  0.4417  0.0063  0.0653  0.066  0.6743  0.20
Rosenthal 1931b   75  0.4279  0.0068  0.0560  0.0511  0.6048  0.17
Rosenthal 1931c   76  0.4250  0.0069  0.0477  0.0429  0.3658  0.12
Rosenthal 1931d   73  0.4328  0.0067  0.0563  0.0510  0.6245  0.18
Rossi 2007   83  0.3641  0.0077  0.0382  0.0328  0.2660  0.09
Rubinstein 1939   48  0.5014  0.0121  0.0641  0.145  0.5537  0.28
Rubinstein 1952   10  0.623  0.047  0.205  0.637  0.635  0.63
Rubinstein 1966   6  0.644  0.035  0.206  0.635  0.703  0.66
Schilhawsky 1960   74  0.4389  0.0078  0.0471  0.0475  0.0479  0.04
Shebanova 2002   20  0.6045  0.0024  0.0815  0.4517  0.4819  0.46
Smith 1975   41  0.5459  0.0044  0.0643  0.1336  0.2147  0.17
Sokolov 2002   54  0.4969  0.0065  0.0468  0.0448  0.0772  0.05
Sztompka 1959   42  0.5364  0.0058  0.0561  0.0571  0.0574  0.05
Tomsic 1995   19  0.6058  0.0029  0.0729  0.359  0.5920  0.45
Uninsky 1932   67  0.4578  0.0073  0.0478  0.0448  0.0775  0.05
Uninsky 1971   72  0.4357  0.0071  0.0481  0.0460  0.0578  0.04
Wasowski 1980   58  0.4882  0.0056  0.0649  0.0660  0.0571  0.05
Zak 1937   15  0.6148  0.0017  0.1416  0.4510  0.5912  0.52
Zak 1951   14  0.6130  0.0015  0.1113  0.4710  0.5216  0.49
Average   1  0.751  0.501  0.501  0.8622  0.457  0.62
Random 1   90  -0.0483  0.0090  0.0190  0.0133  0.1783  0.04
Random 2   91  -0.0784  0.0091  0.0191  0.0185  0.0291  0.01
Random 3   89  0.0091  0.0089  0.0289  0.0229  0.2368  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).