Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   28  0.6068  0.0039  0.0737  0.1939  0.2641  0.22
Anderszewski 2003   30  0.6033  0.0021  0.1018  0.448  0.5518  0.49
Ashkenazy 1981   12  0.645  0.018  0.126  0.638  0.587  0.60
Bacha 2000   56  0.5214  0.0063  0.0659  0.0620  0.4250  0.16
Badura 1965   52  0.5376  0.0044  0.0741  0.155  0.6036  0.30
Barbosa 1983   68  0.4888  0.0061  0.0566  0.0544  0.1070  0.07
Biret 1990   25  0.6145  0.0030  0.0625  0.3414  0.4826  0.40
Blet 2003   54  0.5291  0.0064  0.0655  0.0645  0.1068  0.08
Block 1995   42  0.5630  0.0036  0.0835  0.236  0.5628  0.36
Blumental 1952   62  0.5132  0.0047  0.0570  0.0513  0.3560  0.13
Boshniakovich 1969   16  0.6459  0.0017  0.0817  0.469  0.6112  0.53
Brailowsky 1960   57  0.5244  0.0071  0.0472  0.0434  0.3163  0.11
Bunin 1987   76  0.4549  0.0081  0.0286  0.0261  0.0590  0.03
Bunin 1987b   79  0.4477  0.0082  0.0288  0.0261  0.0588  0.03
Chiu 1999   58  0.5154  0.0062  0.0657  0.0631  0.3357  0.14
Cohen 1997   86  0.3836  0.0080  0.0381  0.0337  0.2369  0.08
Cortot 1951   71  0.4780  0.0079  0.0380  0.0348  0.0781  0.05
Csalog 1996   65  0.4974  0.0065  0.0560  0.0518  0.4855  0.15
Czerny 1949   36  0.5871  0.0035  0.0634  0.2433  0.2839  0.26
Czerny 1990   3  0.7011  0.014  0.244  0.635  0.714  0.67
Duchoud 2007   49  0.5540  0.0053  0.0561  0.0516  0.4556  0.15
Ezaki 2006   24  0.6138  0.0028  0.0736  0.2039  0.2043  0.20
Falvay 1989   14  0.6412  0.0025  0.0921  0.416  0.6216  0.50
Farrell 1958   51  0.5416  0.0049  0.0563  0.059  0.4753  0.15
Ferenczy 1958   83  0.4270  0.0088  0.0471  0.0463  0.0484  0.04
Fliere 1977   4  0.7024  0.005  0.205  0.6312  0.576  0.60
Fou 1978   20  0.6327  0.0010  0.139  0.568  0.5511  0.55
Francois 1956   44  0.5667  0.0033  0.0533  0.2619  0.4929  0.36
Friedman 1923   87  0.3762  0.0087  0.0379  0.0363  0.0587  0.04
Friedman 1923b   88  0.3772  0.0086  0.0384  0.0345  0.0980  0.05
Friedman 1930   84  0.4275  0.0075  0.0383  0.0353  0.0582  0.04
Garcia 2007   81  0.4442  0.0059  0.0567  0.059  0.5948  0.17
Garcia 2007b   80  0.4439  0.0058  0.0658  0.064  0.6045  0.19
Gierzod 1998   6  0.6715  0.0011  0.188  0.589  0.5410  0.56
Gornostaeva 1994   9  0.6525  0.0014  0.1220  0.4415  0.5419  0.49
Groot 1988   37  0.5866  0.0034  0.0726  0.3329  0.3532  0.34
Harasiewicz 1955   45  0.568  0.0118  0.0922  0.4035  0.2435  0.31
Hatto 1993   67  0.4941  0.0057  0.1046  0.1063  0.0571  0.07
Hatto 1997   69  0.4856  0.0060  0.0568  0.0564  0.0483  0.04
Horowitz 1949   72  0.4785  0.0083  0.0287  0.0256  0.0589  0.03
Indjic 1988   66  0.4960  0.0056  0.0848  0.0863  0.0573  0.06
Kapell 1951   26  0.6134  0.0027  0.0731  0.2822  0.3833  0.33
Kissin 1993   5  0.677  0.017  0.177  0.6210  0.635  0.62
Kushner 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Luisada 1991   23  0.6137  0.0029  0.0624  0.3417  0.5022  0.41
Lushtak 2004   35  0.5821  0.0019  0.1015  0.489  0.5515  0.51
Malcuzynski 1961   17  0.6318  0.0024  0.0723  0.3813  0.4621  0.42
Magaloff 1978   29  0.6065  0.0046  0.0847  0.0825  0.3252  0.16
Magin 1975   11  0.642  0.046  0.1611  0.535  0.638  0.58
Michalowski 1933   74  0.4663  0.0055  0.0750  0.079  0.4847  0.18
Milkina 1970   13  0.6417  0.0012  0.2313  0.5110  0.5414  0.52
Mohovich 1999   27  0.6028  0.0031  0.0527  0.3322  0.4825  0.40
Moravec 1969   47  0.5661  0.0037  0.0645  0.1117  0.3942  0.21
Morozova 2008   7  0.656  0.013  0.163  0.662  0.693  0.67
Neighaus 1950   40  0.5764  0.0048  0.0565  0.0571  0.0486  0.04
Niedzielski 1931   73  0.4687  0.0070  0.0473  0.0445  0.0872  0.06
Ohlsson 1999   15  0.6429  0.0015  0.0814  0.4922  0.4220  0.45
Osinska 1989   10  0.643  0.0213  0.1712  0.5212  0.5213  0.52
Pachmann 1927   82  0.4358  0.0085  0.0382  0.0334  0.2267  0.08
Paderewski 1930   61  0.5150  0.0069  0.0751  0.0715  0.3254  0.15
Perlemuter 1992   33  0.5919  0.0022  0.0929  0.317  0.5523  0.41
Pierdomenico 2008   50  0.5453  0.0041  0.0444  0.132  0.6337  0.29
Poblocka 1999   21  0.6131  0.0040  0.0542  0.1535  0.2444  0.19
Rabcewiczowa 1932   46  0.5681  0.0038  0.0639  0.1716  0.4038  0.26
Rachmaninoff 1923   64  0.4990  0.0054  0.0656  0.0667  0.0475  0.05
Rangell 2001   39  0.5713  0.0020  0.1132  0.263  0.5927  0.39
Richter 1976   43  0.5643  0.0051  0.0564  0.0527  0.3659  0.13
Rosen 1989   8  0.6526  0.009  0.1316  0.4812  0.5317  0.50
Rosenthal 1930   63  0.4969  0.0076  0.0475  0.0446  0.0778  0.05
Rosenthal 1931   70  0.4751  0.0074  0.0378  0.0327  0.4165  0.11
Rosenthal 1931b   75  0.4682  0.0078  0.0474  0.0426  0.3862  0.12
Rosenthal 1931c   60  0.5179  0.0072  0.0569  0.0527  0.3758  0.14
Rosenthal 1931d   77  0.4552  0.0084  0.0385  0.0325  0.3266  0.10
Rossi 2007   85  0.4173  0.0077  0.0376  0.0312  0.4561  0.12
Rubinstein 1939   78  0.4557  0.0073  0.0377  0.0317  0.4064  0.11
Rubinstein 1952   48  0.5535  0.0052  0.0653  0.0620  0.4949  0.17
Rubinstein 1966   19  0.6310  0.0116  0.0810  0.5312  0.629  0.57
Schilhawsky 1960   55  0.5278  0.0068  0.0654  0.0657  0.0577  0.05
Shebanova 2002   2  0.714  0.022  0.282  0.713  0.721  0.71
Smith 1975   32  0.5923  0.0045  0.0743  0.1434  0.2346  0.18
Sokolov 2002   22  0.619  0.0126  0.0828  0.3221  0.3930  0.35
Sztompka 1959   18  0.6322  0.0023  0.0919  0.4421  0.3724  0.40
Tomsic 1995   38  0.5820  0.0042  0.0538  0.1811  0.5634  0.32
Uninsky 1932   59  0.5155  0.0067  0.0749  0.0760  0.0574  0.06
Uninsky 1971   53  0.5346  0.0066  0.0562  0.0552  0.0676  0.05
Wasowski 1980   41  0.5748  0.0050  0.0652  0.0617  0.4151  0.16
Zak 1937   34  0.5947  0.0043  0.0640  0.1628  0.3540  0.24
Zak 1951   31  0.5983  0.0032  0.0530  0.3127  0.3731  0.34
Average   1  0.801  0.781  0.771  0.907  0.552  0.70
Random 1   90  -0.0289  0.0089  0.0190  0.0122  0.2979  0.05
Random 2   91  -0.0784  0.0091  0.0191  0.0182  0.0291  0.01
Random 3   89  -0.0186  0.0090  0.0189  0.0134  0.1385  0.04

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).