Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   8  0.6646  0.0017  0.1515  0.5312  0.5217  0.52
Anderszewski 2003   57  0.4881  0.0062  0.0561  0.0566  0.0478  0.04
Ashkenazy 1981   14  0.644  0.0410  0.1312  0.596  0.6212  0.60
Bacha 2000   71  0.4278  0.0069  0.0558  0.0550  0.0668  0.05
Badura 1965   44  0.5454  0.0043  0.0544  0.115  0.5835  0.25
Barbosa 1983   66  0.4529  0.0065  0.0656  0.0662  0.0574  0.05
Biret 1990   53  0.4985  0.0061  0.0655  0.0663  0.0576  0.05
Blet 2003   41  0.5457  0.0057  0.0748  0.0724  0.2850  0.14
Block 1995   37  0.5658  0.0044  0.0642  0.1118  0.3840  0.20
Blumental 1952   62  0.4571  0.0056  0.0746  0.0748  0.0565  0.06
Boshniakovich 1969   9  0.655  0.039  0.1216  0.519  0.6014  0.55
Brailowsky 1960   63  0.4551  0.0074  0.0471  0.0443  0.1063  0.06
Bunin 1987   74  0.4052  0.0085  0.0383  0.0364  0.0486  0.03
Bunin 1987b   76  0.3976  0.0086  0.0472  0.0461  0.0477  0.04
Chiu 1999   56  0.4826  0.0050  0.0569  0.0532  0.2955  0.12
Cohen 1997   85  0.3186  0.0075  0.0381  0.0346  0.0681  0.04
Cortot 1951   70  0.4377  0.0076  0.0380  0.0369  0.0487  0.03
Csalog 1996   55  0.4910  0.0130  0.0743  0.119  0.5934  0.25
Czerny 1949   49  0.5380  0.0036  0.0536  0.1844  0.1248  0.15
Czerny 1990   4  0.6811  0.018  0.1313  0.588  0.6511  0.61
Duchoud 2007   68  0.4431  0.0067  0.0567  0.0548  0.0675  0.05
Ezaki 2006   11  0.6418  0.0023  0.1322  0.4522  0.4124  0.43
Falvay 1989   19  0.6332  0.0027  0.0829  0.2822  0.4227  0.34
Farrell 1958   59  0.4773  0.0064  0.0559  0.0548  0.0671  0.05
Ferenczy 1958   77  0.3962  0.0087  0.0474  0.0487  0.0283  0.03
Fliere 1977   3  0.6820  0.004  0.123  0.705  0.635  0.66
Fou 1978   2  0.702  0.122  0.352  0.741  0.732  0.73
Francois 1956   52  0.5170  0.0058  0.0749  0.0734  0.2553  0.13
Friedman 1923   87  0.2866  0.0084  0.0285  0.0277  0.0489  0.03
Friedman 1923b   86  0.2868  0.0083  0.0377  0.0367  0.0582  0.04
Friedman 1930   83  0.3340  0.0082  0.0375  0.0370  0.0579  0.04
Garcia 2007   81  0.3674  0.0078  0.0384  0.0363  0.0485  0.03
Garcia 2007b   84  0.3382  0.0079  0.0382  0.0357  0.0488  0.03
Gierzod 1998   15  0.643  0.053  0.1214  0.546  0.5515  0.54
Gornostaeva 1994   33  0.5749  0.0035  0.0633  0.2127  0.3432  0.27
Groot 1988   38  0.5587  0.0048  0.0653  0.0632  0.3051  0.13
Harasiewicz 1955   22  0.627  0.027  0.1211  0.6017  0.4616  0.53
Hatto 1993   64  0.4547  0.0029  0.0932  0.2621  0.2436  0.25
Hatto 1997   67  0.4528  0.0031  0.0737  0.1859  0.0561  0.09
Horowitz 1949   51  0.5245  0.0053  0.0652  0.0615  0.5442  0.18
Indjic 1988   60  0.4630  0.0025  0.0930  0.2722  0.2533  0.26
Kapell 1951   47  0.5333  0.0059  0.0747  0.0782  0.0372  0.05
Kissin 1993   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kushner 1989   5  0.679  0.0211  0.139  0.636  0.6210  0.62
Luisada 1991   23  0.6161  0.0018  0.1321  0.458  0.5619  0.50
Lushtak 2004   31  0.5837  0.0034  0.0631  0.2629  0.3530  0.30
Malcuzynski 1961   10  0.6513  0.0116  0.1310  0.625  0.649  0.63
Magaloff 1978   21  0.6219  0.0020  0.0919  0.484  0.5418  0.51
Magin 1975   7  0.668  0.025  0.138  0.632  0.687  0.65
Michalowski 1933   82  0.3690  0.0077  0.0379  0.0350  0.0773  0.05
Milkina 1970   6  0.6722  0.006  0.106  0.666  0.638  0.64
Mohovich 1999   36  0.5688  0.0046  0.0657  0.0637  0.2558  0.12
Moravec 1969   39  0.5555  0.0039  0.0740  0.1510  0.4931  0.27
Morozova 2008   24  0.6163  0.0022  0.1120  0.4712  0.4423  0.45
Neighaus 1950   27  0.6056  0.0021  0.1217  0.4918  0.4322  0.46
Niedzielski 1931   61  0.4648  0.0060  0.0650  0.0622  0.3847  0.15
Ohlsson 1999   34  0.5716  0.0024  0.1223  0.4219  0.4325  0.42
Osinska 1989   26  0.6041  0.0032  0.0728  0.3232  0.3329  0.32
Pachmann 1927   54  0.4942  0.0063  0.0566  0.0511  0.5046  0.16
Paderewski 1930   46  0.5327  0.0054  0.0845  0.0813  0.3345  0.16
Perlemuter 1992   30  0.5850  0.0042  0.0541  0.1315  0.4437  0.24
Pierdomenico 2008   48  0.5365  0.0045  0.0565  0.055  0.5344  0.16
Poblocka 1999   17  0.6323  0.0028  0.0926  0.3717  0.4126  0.39
Rabcewiczowa 1932   69  0.4483  0.0070  0.0470  0.0452  0.0670  0.05
Rachmaninoff 1923   58  0.4760  0.0049  0.0563  0.0553  0.0569  0.05
Rangell 2001   45  0.5435  0.0047  0.0560  0.058  0.4749  0.15
Richter 1976   18  0.6314  0.0115  0.1224  0.403  0.6220  0.50
Rosen 1989   28  0.6072  0.0033  0.1127  0.3427  0.3228  0.33
Rosenthal 1930   72  0.4279  0.0072  0.0376  0.0350  0.0680  0.04
Rosenthal 1931   78  0.3964  0.0071  0.0378  0.0330  0.3460  0.10
Rosenthal 1931b   80  0.3744  0.0081  0.0286  0.0236  0.2167  0.06
Rosenthal 1931c   65  0.4521  0.0066  0.0568  0.0532  0.3352  0.13
Rosenthal 1931d   79  0.3969  0.0080  0.0287  0.0239  0.1766  0.06
Rossi 2007   73  0.4084  0.0073  0.0473  0.0420  0.3654  0.12
Rubinstein 1939   75  0.4039  0.0068  0.0562  0.0529  0.2856  0.12
Rubinstein 1952   16  0.646  0.0314  0.124  0.672  0.753  0.71
Rubinstein 1966   25  0.6034  0.0019  0.1018  0.488  0.6313  0.55
Schilhawsky 1960   43  0.5453  0.0037  0.0735  0.1833  0.3039  0.23
Shebanova 2002   1  0.741  0.521  0.521  0.831  0.821  0.82
Smith 1975   32  0.5859  0.0041  0.0639  0.1538  0.1843  0.16
Sokolov 2002   35  0.5712  0.0140  0.0638  0.1736  0.2041  0.18
Sztompka 1959   29  0.6038  0.0038  0.0634  0.2025  0.2838  0.24
Tomsic 1995   20  0.6225  0.0026  0.0825  0.386  0.6121  0.48
Uninsky 1932   42  0.5424  0.0051  0.0654  0.0629  0.2657  0.12
Uninsky 1971   40  0.5536  0.0055  0.0651  0.0653  0.0664  0.06
Wasowski 1980   50  0.5343  0.0052  0.0564  0.0532  0.1959  0.10
Zak 1937   12  0.6415  0.0112  0.117  0.662  0.704  0.68
Zak 1951   13  0.6417  0.0013  0.205  0.673  0.656  0.66
Random 1   88  -0.0475  0.0088  0.0288  0.0221  0.2862  0.07
Random 2   89  -0.0567  0.0089  0.0289  0.0245  0.0584  0.03
Random 3   90  -0.0689  0.0090  0.0190  0.0171  0.0390  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).