Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   26  0.3823  0.0040  0.0639  0.1688  0.0245  0.06
Anderszewski 2003   33  0.3658  0.0045  0.0545  0.1087  0.0258  0.04
Ashkenazy 1981   56  0.2940  0.0059  0.0470  0.0466  0.0465  0.04
Bacha 2000   68  0.2775  0.0069  0.0471  0.0466  0.0551  0.04
Badura 1965   49  0.3173  0.0078  0.0469  0.0478  0.0464  0.04
Barbosa 1983   65  0.2728  0.0043  0.0641  0.1365  0.0535  0.08
Biret 1990   18  0.4018  0.0017  0.068  0.5173  0.0414  0.14
Blet 2003   51  0.3052  0.0051  0.0560  0.0580  0.0359  0.04
Block 1995   21  0.3821  0.0016  0.0620  0.3855  0.0513  0.14
Blumental 1952   35  0.3588  0.0050  0.0556  0.0588  0.0284  0.03
Boshniakovich 1969   15  0.4132  0.0027  0.0640  0.1584  0.0341  0.07
Brailowsky 1960   58  0.2947  0.0077  0.0377  0.0386  0.0369  0.03
Bunin 1987   82  0.2055  0.0087  0.0378  0.0373  0.0486  0.03
Bunin 1987b   83  0.2059  0.0086  0.0379  0.0373  0.0473  0.03
Chiu 1999   20  0.3964  0.0058  0.0462  0.0488  0.0370  0.03
Cohen 1997   72  0.2631  0.0060  0.0467  0.0479  0.0385  0.03
Cortot 1951   38  0.3416  0.0133  0.0436  0.1933  0.193  0.19
Csalog 1996   81  0.2027  0.0052  0.0557  0.0579  0.0357  0.04
Czerny 1949   11  0.4213  0.0132  0.0530  0.2180  0.0336  0.08
Czerny 1990   8  0.4465  0.0015  0.0910  0.4883  0.0323  0.12
Duchoud 2007   74  0.2446  0.0063  0.0376  0.0387  0.0382  0.03
Ezaki 2006   5  0.4720  0.0011  0.136  0.5473  0.047  0.15
Falvay 1989   19  0.3917  0.0020  0.0819  0.3860  0.0512  0.14
Farrell 1958   39  0.3426  0.0018  0.0614  0.4353  0.065  0.16
Ferenczy 1958   61  0.2978  0.0065  0.0472  0.0485  0.0280  0.03
Fliere 1977   16  0.4134  0.0030  0.0638  0.1778  0.0340  0.07
Fou 1978   31  0.3642  0.0025  0.0628  0.2682  0.0330  0.09
Francois 1956   27  0.373  0.082  0.1216  0.4254  0.0419  0.13
Friedman 1923   70  0.2771  0.0066  0.0473  0.0458  0.0568  0.04
Friedman 1923b   69  0.2744  0.0067  0.0555  0.0555  0.0549  0.05
Friedman 1930   46  0.3268  0.0068  0.0464  0.0458  0.0561  0.04
Garcia 2007   47  0.3267  0.0047  0.0846  0.0846  0.0837  0.08
Garcia 2007b   42  0.3360  0.0048  0.0847  0.0850  0.0546  0.06
Gierzod 1998   44  0.3237  0.0055  0.0552  0.0562  0.0463  0.04
Gornostaeva 1994   3  0.4812  0.0110  0.143  0.6057  0.0410  0.15
Groot 1988   48  0.3149  0.0037  0.0537  0.1863  0.0439  0.08
Harasiewicz 1955   2  0.482  0.087  0.1018  0.4082  0.0326  0.11
Hatto 1993   87  0.1589  0.0084  0.0288  0.0280  0.0487  0.03
Hatto 1997   86  0.1786  0.0082  0.0468  0.0481  0.0462  0.04
Horowitz 1949   84  0.1948  0.0088  0.0380  0.0374  0.0374  0.03
Indjic 1988   88  0.1590  0.0085  0.0384  0.0382  0.0478  0.03
Kapell 1951   67  0.2741  0.0041  0.0631  0.2186  0.0334  0.08
Kissin 1993   17  0.4039  0.0023  0.0721  0.3674  0.0422  0.12
Kushner 1989   14  0.4135  0.0021  0.0912  0.4576  0.0321  0.12
Luisada 1991   25  0.3874  0.0046  0.0553  0.0580  0.0352  0.04
Lushtak 2004   36  0.3543  0.0044  0.0644  0.1287  0.0248  0.05
Malcuzynski 1961   23  0.387  0.043  0.114  0.5675  0.0315  0.13
Magaloff 1978   9  0.424  0.076  0.107  0.5141  0.141  0.27
Magin 1975   30  0.3751  0.0026  0.0732  0.2188  0.0244  0.06
Michalowski 1933   50  0.3025  0.0076  0.0559  0.0581  0.0355  0.04
Milkina 1970   40  0.3333  0.0019  0.0717  0.4086  0.0325  0.11
Mohovich 1999   34  0.3570  0.0022  0.0829  0.2676  0.0332  0.09
Moravec 1969   53  0.3050  0.0036  0.0535  0.2069  0.0428  0.09
Morozova 2008   22  0.3880  0.0049  0.0748  0.0788  0.0260  0.04
Neighaus 1950   45  0.3261  0.0057  0.0550  0.0585  0.0366  0.04
Niedzielski 1931   60  0.2911  0.0139  0.0643  0.1379  0.0343  0.06
Ohlsson 1999   54  0.2929  0.0062  0.0383  0.0383  0.0376  0.03
Osinska 1989   1  0.531  0.431  0.431  0.7772  0.044  0.18
Pachmann 1927   78  0.2324  0.0083  0.0287  0.0286  0.0389  0.02
Paderewski 1930   29  0.3714  0.0128  0.0634  0.2161  0.0431  0.09
Perlemuter 1992   7  0.4515  0.0114  0.089  0.4867  0.0411  0.14
Pierdomenico 2008   13  0.4119  0.0012  0.1315  0.4345  0.102  0.21
Poblocka 1999   76  0.2491  0.0080  0.0463  0.0482  0.0453  0.04
Rabcewiczowa 1932   10  0.4210  0.014  0.1211  0.4654  0.059  0.15
Rachmaninoff 1923   28  0.3757  0.0024  0.0623  0.3160  0.0520  0.12
Rangell 2001   71  0.2677  0.0029  0.0642  0.1367  0.0442  0.07
Richter 1976   66  0.2785  0.0081  0.0465  0.0479  0.0375  0.03
Rosen 1989   12  0.416  0.049  0.1213  0.4470  0.0418  0.13
Rosenthal 1930   80  0.2287  0.0079  0.0474  0.0470  0.0383  0.03
Rosenthal 1931   77  0.2383  0.0070  0.0561  0.0559  0.0456  0.04
Rosenthal 1931b   79  0.2262  0.0074  0.0475  0.0470  0.0388  0.03
Rosenthal 1931c   73  0.2682  0.0056  0.0649  0.0682  0.0367  0.04
Rosenthal 1931d   75  0.2469  0.0075  0.0558  0.0559  0.0550  0.05
Rossi 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1939   85  0.1884  0.0072  0.0386  0.0383  0.0371  0.03
Rubinstein 1952   62  0.2822  0.0038  0.0533  0.2174  0.0433  0.09
Rubinstein 1966   59  0.2954  0.0035  0.0527  0.2783  0.0427  0.10
Schilhawsky 1960   57  0.2936  0.0061  0.0385  0.0387  0.0379  0.03
Shebanova 2002   55  0.2956  0.0073  0.0382  0.0387  0.0381  0.03
Smith 1975   6  0.468  0.038  0.135  0.5565  0.048  0.15
Sokolov 2002   41  0.339  0.0231  0.0625  0.2887  0.0329  0.09
Sztompka 1959   24  0.3863  0.0042  0.1026  0.2760  0.0617  0.13
Tomsic 1995   43  0.335  0.0513  0.0922  0.3461  0.0516  0.13
Uninsky 1932   37  0.3430  0.0053  0.0551  0.0566  0.0547  0.05
Uninsky 1971   63  0.2853  0.0071  0.0466  0.0485  0.0377  0.03
Wasowski 1980   32  0.3679  0.0034  0.0524  0.2872  0.0424  0.11
Zak 1937   64  0.2872  0.0064  0.0381  0.0371  0.0472  0.03
Zak 1951   52  0.3081  0.0054  0.0554  0.0573  0.0454  0.04
Average   4  0.4738  0.005  0.132  0.6868  0.046  0.16
Random 1   90  -0.0676  0.0090  0.0190  0.0149  0.0491  0.02
Random 2   91  -0.1066  0.0091  0.0191  0.0165  0.0390  0.02
Random 3   89  -0.0445  0.0089  0.0289  0.0219  0.3238  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).