Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   16  0.6663  0.0027  0.0627  0.448  0.5429  0.49
Anderszewski 2003   46  0.5884  0.0053  0.0653  0.0624  0.3462  0.14
Ashkenazy 1981   31  0.6330  0.0020  0.0819  0.4714  0.5130  0.49
Bacha 2000   80  0.4768  0.0067  0.0378  0.0329  0.3577  0.10
Badura 1965   56  0.5520  0.0042  0.0543  0.1112  0.5141  0.24
Barbosa 1983   62  0.5482  0.0045  0.0555  0.0510  0.5353  0.16
Biret 1990   43  0.5850  0.0047  0.0652  0.0621  0.3565  0.14
Blet 2003   19  0.6544  0.0030  0.0723  0.461  0.7512  0.59
Block 1995   45  0.5846  0.0036  0.0939  0.251  0.6937  0.42
Blumental 1952   76  0.4925  0.0075  0.0383  0.0356  0.0487  0.03
Boshniakovich 1969   2  0.701  0.251  0.254  0.651  0.734  0.69
Brailowsky 1960   37  0.6022  0.0052  0.0747  0.071  0.7542  0.23
Bunin 1987   54  0.5558  0.0057  0.0472  0.0411  0.4963  0.14
Bunin 1987b   57  0.5418  0.0055  0.0463  0.048  0.5161  0.14
Chiu 1999   38  0.6021  0.0033  0.0935  0.352  0.7225  0.50
Cohen 1997   87  0.3456  0.0087  0.0464  0.0472  0.0485  0.04
Cortot 1951   73  0.5078  0.0081  0.0557  0.0526  0.3172  0.12
Csalog 1996   72  0.5045  0.0060  0.0475  0.0411  0.5757  0.15
Czerny 1949   49  0.5688  0.0063  0.0558  0.0535  0.2374  0.11
Czerny 1990   5  0.698  0.029  0.169  0.595  0.689  0.63
Duchoud 2007   53  0.5561  0.0051  0.0845  0.085  0.5746  0.21
Ezaki 2006   14  0.6627  0.0023  0.1032  0.3613  0.4936  0.42
Falvay 1989   55  0.5573  0.0070  0.0459  0.0438  0.1682  0.08
Farrell 1958   66  0.5365  0.0072  0.0379  0.0322  0.3278  0.10
Ferenczy 1958   82  0.4683  0.0085  0.0387  0.0351  0.0486  0.03
Fliere 1977   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fou 1978   12  0.673  0.152  0.202  0.692  0.693  0.69
Francois 1956   58  0.5476  0.0069  0.0382  0.0331  0.2980  0.09
Friedman 1923   78  0.4843  0.0065  0.0466  0.0410  0.5067  0.14
Friedman 1923b   77  0.4837  0.0064  0.0384  0.039  0.5369  0.13
Friedman 1930   61  0.5415  0.0154  0.0649  0.063  0.6048  0.19
Garcia 2007   71  0.5151  0.0059  0.0554  0.052  0.7449  0.19
Garcia 2007b   79  0.4841  0.0066  0.0381  0.032  0.6266  0.14
Gierzod 1998   15  0.6610  0.0210  0.1113  0.575  0.5715  0.57
Gornostaeva 1994   18  0.6566  0.0039  0.0937  0.318  0.5838  0.42
Groot 1988   21  0.6533  0.0014  0.158  0.591  0.6710  0.63
Harasiewicz 1955   26  0.646  0.036  0.1310  0.575  0.5319  0.55
Hatto 1993   47  0.5723  0.0019  0.0817  0.496  0.6021  0.54
Hatto 1997   52  0.5579  0.0041  0.0741  0.1514  0.3643  0.23
Horowitz 1949   50  0.5652  0.0058  0.0460  0.049  0.6152  0.16
Indjic 1988   48  0.5731  0.0031  0.0826  0.446  0.6024  0.51
Kapell 1951   32  0.6259  0.0040  0.1238  0.2620  0.3940  0.32
Kissin 1993   8  0.6812  0.015  0.125  0.633  0.707  0.66
Kushner 1989   3  0.7019  0.0012  0.1211  0.574  0.6311  0.60
Luisada 1991   11  0.6713  0.0113  0.1312  0.571  0.738  0.65
Lushtak 2004   35  0.6147  0.0032  0.0828  0.405  0.5731  0.48
Malcuzynski 1961   23  0.6554  0.0038  0.0836  0.349  0.5435  0.43
Magaloff 1978   7  0.682  0.164  0.177  0.621  0.706  0.66
Magin 1975   22  0.6540  0.0029  0.0718  0.483  0.6516  0.56
Michalowski 1933   74  0.5062  0.0076  0.0471  0.0423  0.3671  0.12
Milkina 1970   40  0.5955  0.0046  0.0650  0.0628  0.3656  0.15
Mohovich 1999   27  0.6442  0.0035  0.1034  0.3511  0.6332  0.47
Moravec 1969   75  0.5080  0.0079  0.0462  0.0438  0.1781  0.08
Morozova 2008   29  0.6311  0.0116  0.1220  0.462  0.5527  0.50
Neighaus 1950   17  0.6634  0.0015  0.1414  0.542  0.6213  0.58
Niedzielski 1931   51  0.5649  0.0061  0.0468  0.046  0.5655  0.15
Ohlsson 1999   9  0.6870  0.0011  0.1115  0.536  0.5718  0.55
Osinska 1989   10  0.6824  0.0017  0.0816  0.497  0.6217  0.55
Pachmann 1927   60  0.5438  0.0062  0.0461  0.042  0.6950  0.17
Paderewski 1930   67  0.5272  0.0077  0.0467  0.047  0.3970  0.12
Perlemuter 1992   30  0.637  0.0224  0.0721  0.461  0.7014  0.57
Pierdomenico 2008   68  0.5248  0.0074  0.0385  0.0314  0.4373  0.11
Poblocka 1999   4  0.6914  0.018  0.166  0.631  0.715  0.67
Rabcewiczowa 1932   70  0.5136  0.0071  0.0465  0.0442  0.1284  0.07
Rachmaninoff 1923   33  0.6217  0.0118  0.0822  0.462  0.6420  0.54
Rangell 2001   69  0.5264  0.0056  0.0469  0.049  0.4764  0.14
Richter 1976   24  0.6416  0.0126  0.0730  0.391  0.7023  0.52
Rosen 1989   6  0.695  0.067  0.133  0.661  0.772  0.71
Rosenthal 1930   64  0.5353  0.0078  0.0470  0.0415  0.5358  0.15
Rosenthal 1931   85  0.4287  0.0084  0.0474  0.0423  0.4568  0.13
Rosenthal 1931b   84  0.4386  0.0083  0.0380  0.0322  0.4276  0.11
Rosenthal 1931c   65  0.5385  0.0073  0.0473  0.0411  0.6254  0.16
Rosenthal 1931d   83  0.4390  0.0082  0.0386  0.0320  0.4075  0.11
Rossi 2007   86  0.4171  0.0086  0.0377  0.0337  0.1783  0.07
Rubinstein 1939   81  0.4781  0.0080  0.0556  0.0514  0.4260  0.14
Rubinstein 1952   63  0.5439  0.0044  0.0544  0.0915  0.5244  0.22
Rubinstein 1966   36  0.6077  0.0048  0.0746  0.0716  0.5347  0.19
Schilhawsky 1960   25  0.6460  0.0028  0.0729  0.402  0.6028  0.49
Shebanova 2002   1  0.704  0.133  0.281  0.703  0.721  0.71
Smith 1975   20  0.6535  0.0034  0.1033  0.367  0.5234  0.43
Sokolov 2002   44  0.5828  0.0049  0.0651  0.0623  0.3559  0.14
Sztompka 1959   13  0.679  0.0222  0.0731  0.3911  0.4933  0.44
Tomsic 1995   59  0.5469  0.0068  0.0376  0.0326  0.2979  0.09
Uninsky 1932   42  0.5832  0.0050  0.0648  0.069  0.5151  0.17
Uninsky 1971   39  0.5957  0.0043  0.0642  0.1120  0.4045  0.21
Wasowski 1980   41  0.5926  0.0037  0.0940  0.216  0.5239  0.33
Zak 1937   28  0.6329  0.0021  0.0724  0.465  0.6222  0.53
Zak 1951   34  0.6274  0.0025  0.0725  0.446  0.5626  0.50
Random 1   88  -0.0589  0.0088  0.0288  0.0248  0.0488  0.03
Random 2   90  -0.0875  0.0089  0.0189  0.0182  0.0289  0.01
Random 3   89  -0.0567  0.0090  0.0190  0.0180  0.0290  0.01

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).