Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   28  0.4446  0.0023  0.0821  0.4171  0.0330  0.11
Anderszewski 2003   33  0.4462  0.0030  0.0830  0.3482  0.0335  0.10
Ashkenazy 1981   38  0.4325  0.0039  0.0638  0.2064  0.0438  0.09
Bacha 2000   63  0.3683  0.0080  0.0384  0.0370  0.0469  0.03
Badura 1965   72  0.3363  0.0040  0.0544  0.1072  0.0445  0.06
Barbosa 1983   87  0.2187  0.0083  0.0380  0.0385  0.0379  0.03
Biret 1990   48  0.4081  0.0060  0.0472  0.0482  0.0388  0.03
Blet 2003   54  0.3819  0.0052  0.0451  0.0483  0.0381  0.03
Block 1995   69  0.3558  0.0058  0.0471  0.0472  0.0385  0.03
Blumental 1952   43  0.429  0.0018  0.1122  0.4072  0.0423  0.13
Boshniakovich 1969   44  0.4173  0.0056  0.0548  0.0578  0.0463  0.04
Brailowsky 1960   32  0.4430  0.0036  0.0735  0.2557  0.0528  0.11
Bunin 1987   50  0.3970  0.0049  0.0460  0.0467  0.0464  0.04
Bunin 1987b   51  0.3837  0.0050  0.0645  0.0666  0.0450  0.05
Chiu 1999   85  0.2650  0.0051  0.0468  0.0473  0.0372  0.03
Cohen 1997   75  0.3284  0.0047  0.0457  0.0435  0.2337  0.10
Cortot 1951   35  0.4376  0.0048  0.0463  0.0452  0.0567  0.04
Csalog 1996   56  0.3847  0.0077  0.0379  0.0384  0.0380  0.03
Czerny 1949   24  0.4671  0.0024  0.0918  0.4751  0.0616  0.17
Czerny 1990   16  0.4953  0.0015  0.1315  0.5571  0.0419  0.15
Duchoud 2007   68  0.3544  0.0059  0.0375  0.0381  0.0383  0.03
Ezaki 2006   13  0.5128  0.0011  0.198  0.6457  0.0513  0.18
Falvay 1989   19  0.4729  0.0016  0.1416  0.5057  0.0615  0.17
Farrell 1958   53  0.3874  0.0061  0.0547  0.0584  0.0274  0.03
Ferenczy 1958   49  0.3940  0.0064  0.0470  0.0463  0.0461  0.04
Fliere 1977   10  0.5341  0.0013  0.1411  0.6273  0.0418  0.16
Fou 1978   39  0.4224  0.0032  0.0828  0.3676  0.0424  0.12
Francois 1956   30  0.4459  0.0031  0.0927  0.3765  0.0427  0.12
Friedman 1923   82  0.2751  0.0063  0.0453  0.0465  0.0568  0.04
Friedman 1923b   81  0.2727  0.0062  0.0459  0.0452  0.0565  0.04
Friedman 1930   67  0.3535  0.0046  0.0549  0.0548  0.0653  0.05
Garcia 2007   83  0.2754  0.0085  0.0386  0.0387  0.0384  0.03
Garcia 2007b   86  0.2288  0.0086  0.0385  0.0367  0.0489  0.03
Gierzod 1998   8  0.5443  0.0014  0.1614  0.5756  0.0517  0.17
Gornostaeva 1994   6  0.5564  0.009  0.226  0.6932  0.297  0.45
Groot 1988   37  0.4352  0.0021  0.0823  0.3982  0.0332  0.11
Harasiewicz 1955   64  0.3631  0.0027  0.0934  0.2986  0.0243  0.08
Hatto 1993   77  0.3136  0.0071  0.0464  0.0468  0.0566  0.04
Hatto 1997   71  0.338  0.0065  0.0458  0.0468  0.0460  0.04
Horowitz 1949   55  0.3855  0.0068  0.0466  0.0469  0.0376  0.03
Indjic 1988   78  0.3177  0.0076  0.0383  0.0369  0.0559  0.04
Kapell 1951   21  0.4790  0.0042  0.0542  0.1679  0.0441  0.08
Kissin 1993   25  0.455  0.0033  0.1132  0.3368  0.0522  0.13
Kushner 1989   14  0.5117  0.0019  0.1026  0.3768  0.0520  0.14
Luisada 1991   66  0.3557  0.0066  0.0456  0.0486  0.0270  0.03
Lushtak 2004   61  0.3660  0.0035  0.0636  0.2387  0.0244  0.07
Malcuzynski 1961   7  0.5515  0.0010  0.1810  0.6248  0.0612  0.19
Magaloff 1978   5  0.6012  0.005  0.365  0.7310  0.465  0.58
Magin 1975   22  0.4648  0.0034  0.1131  0.3375  0.0333  0.10
Michalowski 1933   74  0.3267  0.0072  0.0382  0.0363  0.0558  0.04
Milkina 1970   15  0.4978  0.0028  0.1029  0.3677  0.0425  0.12
Mohovich 1999   23  0.4616  0.0020  0.0819  0.4573  0.0326  0.12
Moravec 1969   9  0.536  0.007  0.1713  0.6011  0.486  0.54
Morozova 2008   47  0.407  0.0038  0.0837  0.2375  0.0436  0.10
Neighaus 1950   36  0.4349  0.0044  0.0643  0.1268  0.0542  0.08
Niedzielski 1931   34  0.4318  0.0029  0.0825  0.3738  0.1310  0.22
Ohlsson 1999   42  0.4279  0.0054  0.0454  0.0459  0.0557  0.04
Osinska 1989   26  0.4582  0.0041  0.0541  0.1772  0.0440  0.08
Pachmann 1927   76  0.3168  0.0082  0.0377  0.0372  0.0478  0.03
Paderewski 1930   41  0.4256  0.0045  0.0546  0.0550  0.0551  0.05
Perlemuter 1992   65  0.3542  0.0037  0.0739  0.1974  0.0339  0.08
Pierdomenico 2008   79  0.3075  0.0084  0.0387  0.0383  0.0373  0.03
Poblocka 1999   27  0.4565  0.0055  0.0455  0.0486  0.0371  0.03
Rabcewiczowa 1932   20  0.4761  0.0012  0.1817  0.4847  0.0714  0.18
Rachmaninoff 1923   17  0.4822  0.006  0.149  0.6334  0.169  0.32
Rangell 2001   46  0.4085  0.0053  0.0452  0.0487  0.0287  0.03
Richter 1976   70  0.3333  0.0079  0.0469  0.0479  0.0377  0.03
Rosen 1989   18  0.4813  0.0026  0.0824  0.3774  0.0331  0.11
Rosenthal 1930   4  0.784  0.084  0.854  0.931  0.944  0.93
Rosenthal 1931   2  0.813  0.112  0.632  0.963  0.972  0.96
Rosenthal 1931b   1  0.831  0.631  0.621  0.973  0.981  0.97
Rosenthal 1931c   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931d   3  0.812  0.143  0.763  0.963  0.973  0.96
Rossi 2007   84  0.2669  0.0073  0.0381  0.0348  0.0748  0.05
Rubinstein 1939   62  0.3610  0.0067  0.0467  0.0446  0.0649  0.05
Rubinstein 1952   40  0.4280  0.0022  0.0920  0.4260  0.0521  0.14
Rubinstein 1966   45  0.4023  0.0057  0.0462  0.0462  0.0652  0.05
Schilhawsky 1960   31  0.4411  0.0025  0.0833  0.3265  0.0429  0.11
Shebanova 2002   52  0.3845  0.0074  0.0378  0.0369  0.0562  0.04
Smith 1975   11  0.5220  0.008  0.217  0.6739  0.168  0.33
Sokolov 2002   12  0.5126  0.0017  0.1412  0.6051  0.0611  0.19
Sztompka 1959   29  0.4432  0.0043  0.0640  0.1850  0.0634  0.10
Tomsic 1995   60  0.3738  0.0070  0.0465  0.0469  0.0456  0.04
Uninsky 1932   73  0.3266  0.0081  0.0376  0.0382  0.0382  0.03
Uninsky 1971   57  0.3821  0.0078  0.0373  0.0387  0.0290  0.02
Wasowski 1980   80  0.2934  0.0087  0.0461  0.0448  0.0647  0.05
Zak 1937   59  0.3739  0.0075  0.0374  0.0383  0.0375  0.03
Zak 1951   58  0.3714  0.0069  0.0550  0.0582  0.0355  0.04
Random 1   90  -0.0589  0.0088  0.0189  0.0118  0.3346  0.06
Random 2   88  -0.0186  0.0089  0.0288  0.0241  0.1254  0.05
Random 3   89  -0.0472  0.0090  0.0190  0.0139  0.0986  0.03

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).