Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   25  0.3823  0.0039  0.0638  0.1687  0.0244  0.06
Anderszewski 2003   32  0.3657  0.0044  0.0544  0.1086  0.0259  0.04
Ashkenazy 1981   55  0.2939  0.0058  0.0469  0.0465  0.0466  0.04
Bacha 2000   67  0.2774  0.0068  0.0470  0.0465  0.0551  0.04
Badura 1965   48  0.3171  0.0077  0.0468  0.0477  0.0465  0.04
Barbosa 1983   64  0.2728  0.0042  0.0640  0.1364  0.0534  0.08
Biret 1990   17  0.4018  0.0016  0.067  0.5172  0.0413  0.14
Blet 2003   50  0.3051  0.0050  0.0559  0.0579  0.0360  0.04
Block 1995   20  0.3821  0.0015  0.0619  0.3854  0.0512  0.14
Blumental 1952   34  0.3587  0.0049  0.0555  0.0587  0.0283  0.03
Boshniakovich 1969   14  0.4132  0.0026  0.0739  0.1583  0.0340  0.07
Brailowsky 1960   57  0.2947  0.0076  0.0376  0.0385  0.0369  0.03
Bunin 1987   81  0.2054  0.0086  0.0377  0.0372  0.0485  0.03
Bunin 1987b   82  0.2058  0.0085  0.0378  0.0372  0.0472  0.03
Chiu 1999   19  0.3963  0.0057  0.0561  0.0587  0.0354  0.04
Cohen 1997   71  0.2631  0.0059  0.0466  0.0478  0.0384  0.03
Cortot 1951   37  0.3416  0.0132  0.0535  0.1932  0.193  0.19
Csalog 1996   80  0.2027  0.0051  0.0556  0.0578  0.0358  0.04
Czerny 1949   10  0.4213  0.0131  0.0529  0.2179  0.0335  0.08
Czerny 1990   7  0.4464  0.0014  0.099  0.4882  0.0322  0.12
Duchoud 2007   73  0.2445  0.0062  0.0375  0.0386  0.0381  0.03
Ezaki 2006   4  0.4720  0.0010  0.135  0.5472  0.046  0.15
Falvay 1989   18  0.3917  0.0019  0.0818  0.3859  0.0511  0.14
Farrell 1958   38  0.3426  0.0017  0.0613  0.4352  0.065  0.16
Ferenczy 1958   60  0.2977  0.0064  0.0471  0.0484  0.0279  0.03
Fliere 1977   15  0.4134  0.0029  0.0637  0.1777  0.0339  0.07
Fou 1978   30  0.3641  0.0024  0.0627  0.2681  0.0329  0.09
Francois 1956   26  0.373  0.083  0.1315  0.4253  0.0418  0.13
Friedman 1923   69  0.2770  0.0065  0.0472  0.0457  0.0568  0.04
Friedman 1923b   68  0.2743  0.0066  0.0554  0.0554  0.0548  0.05
Friedman 1930   45  0.3267  0.0067  0.0463  0.0457  0.0562  0.04
Garcia 2007   46  0.3266  0.0046  0.0845  0.0845  0.0836  0.08
Garcia 2007b   41  0.3359  0.0047  0.0846  0.0849  0.0545  0.06
Gierzod 1998   43  0.3237  0.0054  0.0551  0.0561  0.0464  0.04
Gornostaeva 1994   3  0.4812  0.019  0.142  0.6056  0.049  0.15
Groot 1988   47  0.3146  0.0036  0.0536  0.1862  0.0438  0.08
Harasiewicz 1955   2  0.482  0.086  0.1017  0.4081  0.0325  0.11
Hatto 1993   86  0.1588  0.0083  0.0287  0.0279  0.0486  0.03
Hatto 1997   85  0.1785  0.0081  0.0467  0.0480  0.0463  0.04
Horowitz 1949   83  0.1948  0.0087  0.0379  0.0373  0.0373  0.03
Indjic 1988   87  0.1589  0.0084  0.0383  0.0381  0.0477  0.03
Kapell 1951   66  0.2740  0.0040  0.0630  0.2185  0.0333  0.08
Kissin 1993   16  0.4038  0.0022  0.0720  0.3673  0.0421  0.12
Kushner 1989   13  0.4135  0.0020  0.0911  0.4575  0.0320  0.12
Luisada 1991   24  0.3873  0.0045  0.0552  0.0579  0.0352  0.04
Lushtak 2004   35  0.3542  0.0043  0.0643  0.1286  0.0247  0.05
Malcuzynski 1961   22  0.387  0.042  0.133  0.5674  0.0314  0.13
Magaloff 1978   8  0.424  0.075  0.106  0.5140  0.141  0.27
Magin 1975   29  0.3750  0.0025  0.0731  0.2187  0.0243  0.06
Michalowski 1933   49  0.3025  0.0075  0.0558  0.0580  0.0356  0.04
Milkina 1970   39  0.3333  0.0018  0.0716  0.4085  0.0324  0.11
Mohovich 1999   33  0.3569  0.0021  0.0828  0.2675  0.0331  0.09
Moravec 1969   52  0.3049  0.0035  0.0534  0.2068  0.0427  0.09
Morozova 2008   21  0.3879  0.0048  0.0747  0.0787  0.0261  0.04
Neighaus 1950   44  0.3260  0.0056  0.0549  0.0584  0.0367  0.04
Niedzielski 1931   59  0.2911  0.0138  0.0642  0.1378  0.0342  0.06
Ohlsson 1999   53  0.2929  0.0061  0.0382  0.0382  0.0375  0.03
Osinska 1989   1  0.531  0.431  0.431  0.7771  0.044  0.18
Pachmann 1927   77  0.2324  0.0082  0.0286  0.0285  0.0388  0.02
Paderewski 1930   28  0.3714  0.0127  0.0633  0.2160  0.0430  0.09
Perlemuter 1992   6  0.4515  0.0113  0.088  0.4866  0.0410  0.14
Pierdomenico 2008   12  0.4119  0.0011  0.1314  0.4344  0.102  0.21
Poblocka 1999   75  0.2490  0.0079  0.0462  0.0481  0.0453  0.04
Rabcewiczowa 1932   9  0.4210  0.014  0.1310  0.4653  0.058  0.15
Rachmaninoff 1923   27  0.3756  0.0023  0.0622  0.3159  0.0519  0.12
Rangell 2001   70  0.2676  0.0028  0.0641  0.1366  0.0441  0.07
Richter 1976   65  0.2784  0.0080  0.0464  0.0478  0.0374  0.03
Rosen 1989   11  0.416  0.048  0.1212  0.4469  0.0417  0.13
Rosenthal 1930   79  0.2286  0.0078  0.0473  0.0469  0.0382  0.03
Rosenthal 1931   76  0.2382  0.0069  0.0560  0.0558  0.0457  0.04
Rosenthal 1931b   78  0.2261  0.0073  0.0474  0.0469  0.0387  0.03
Rosenthal 1931c   72  0.2681  0.0055  0.0748  0.0781  0.0350  0.05
Rosenthal 1931d   74  0.2468  0.0074  0.0557  0.0558  0.0549  0.05
Rossi 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1939   84  0.1883  0.0071  0.0385  0.0382  0.0370  0.03
Rubinstein 1952   61  0.2822  0.0037  0.0532  0.2173  0.0432  0.09
Rubinstein 1966   58  0.2953  0.0034  0.0526  0.2782  0.0426  0.10
Schilhawsky 1960   56  0.2936  0.0060  0.0384  0.0386  0.0378  0.03
Shebanova 2002   54  0.2955  0.0072  0.0381  0.0386  0.0380  0.03
Smith 1975   5  0.468  0.037  0.134  0.5564  0.047  0.15
Sokolov 2002   40  0.339  0.0230  0.0624  0.2886  0.0328  0.09
Sztompka 1959   23  0.3862  0.0041  0.1025  0.2759  0.0616  0.13
Tomsic 1995   42  0.335  0.0512  0.0921  0.3460  0.0515  0.13
Uninsky 1932   36  0.3430  0.0052  0.0550  0.0565  0.0546  0.05
Uninsky 1971   62  0.2852  0.0070  0.0465  0.0484  0.0376  0.03
Wasowski 1980   31  0.3678  0.0033  0.0523  0.2871  0.0423  0.11
Zak 1937   63  0.2872  0.0063  0.0380  0.0370  0.0471  0.03
Zak 1951   51  0.3080  0.0053  0.0553  0.0572  0.0455  0.04
Random 1   89  -0.0675  0.0089  0.0189  0.0149  0.0490  0.02
Random 2   90  -0.1065  0.0090  0.0190  0.0168  0.0389  0.02
Random 3   88  -0.0444  0.0088  0.0288  0.0219  0.3137  0.08

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).