Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   28  0.3741  0.0035  0.0832  0.2884  0.0334  0.09
Anderszewski 2003   17  0.4342  0.0012  0.1218  0.4853  0.0418  0.14
Ashkenazy 1981   26  0.3720  0.0029  0.0831  0.3077  0.0336  0.09
Bacha 2000   27  0.378  0.0046  0.0645  0.0668  0.0445  0.05
Badura 1965   82  0.2432  0.0064  0.0464  0.0480  0.0379  0.03
Barbosa 1983   86  0.1979  0.0086  0.0367  0.0387  0.0287  0.02
Biret 1990   30  0.3717  0.0048  0.0649  0.0673  0.0450  0.05
Blet 2003   63  0.3043  0.0059  0.0463  0.0469  0.0458  0.04
Block 1995   51  0.3357  0.0052  0.0647  0.0682  0.0360  0.04
Blumental 1952   44  0.359  0.0028  0.0734  0.2466  0.0432  0.10
Boshniakovich 1969   50  0.3444  0.0050  0.0554  0.0574  0.0461  0.04
Brailowsky 1960   6  0.4911  0.005  0.187  0.6615  0.525  0.59
Bunin 1987   57  0.3166  0.0058  0.0458  0.0469  0.0462  0.04
Bunin 1987b   60  0.3180  0.0057  0.0461  0.0470  0.0456  0.04
Chiu 1999   79  0.2667  0.0053  0.0648  0.0670  0.0446  0.05
Cohen 1997   56  0.3121  0.0032  0.0730  0.3018  0.367  0.33
Cortot 1951   64  0.3031  0.0083  0.0375  0.0366  0.0482  0.03
Csalog 1996   71  0.2848  0.0075  0.0285  0.0272  0.0475  0.03
Czerny 1949   52  0.3210  0.0041  0.0543  0.1085  0.0348  0.05
Czerny 1990   45  0.3522  0.0037  0.0635  0.2386  0.0340  0.08
Duchoud 2007   76  0.2768  0.0068  0.0377  0.0384  0.0378  0.03
Ezaki 2006   16  0.435  0.0015  0.1311  0.5968  0.0417  0.15
Falvay 1989   19  0.4212  0.0014  0.1115  0.5147  0.0712  0.19
Farrell 1958   49  0.3433  0.0047  0.0551  0.0580  0.0353  0.04
Ferenczy 1958   58  0.3116  0.0077  0.0287  0.0273  0.0388  0.02
Fliere 1977   18  0.4381  0.0025  0.0822  0.4280  0.0325  0.11
Fou 1978   20  0.426  0.0016  0.1210  0.6059  0.0515  0.17
Francois 1956   38  0.3658  0.0033  0.0729  0.3078  0.0337  0.09
Friedman 1923   84  0.2434  0.0070  0.0457  0.0478  0.0464  0.04
Friedman 1923b   83  0.2427  0.0069  0.0370  0.0379  0.0480  0.03
Friedman 1930   68  0.2949  0.0055  0.0552  0.0562  0.0547  0.05
Garcia 2007   72  0.2882  0.0079  0.0286  0.0281  0.0389  0.02
Garcia 2007b   80  0.2569  0.0065  0.0371  0.0365  0.0483  0.03
Gierzod 1998   8  0.4750  0.0013  0.1412  0.5676  0.0321  0.13
Gornostaeva 1994   7  0.4870  0.008  0.185  0.6754  0.0514  0.18
Groot 1988   24  0.3923  0.0021  0.1220  0.4473  0.0328  0.11
Harasiewicz 1955   42  0.3528  0.0023  0.0721  0.4374  0.0329  0.11
Hatto 1993   74  0.2783  0.0071  0.0378  0.0382  0.0381  0.03
Hatto 1997   69  0.2945  0.0060  0.0462  0.0466  0.0459  0.04
Horowitz 1949   43  0.3584  0.0042  0.0541  0.1467  0.0343  0.06
Indjic 1988   75  0.2729  0.0078  0.0284  0.0273  0.0474  0.03
Kapell 1951   46  0.3559  0.0061  0.0460  0.0472  0.0454  0.04
Kissin 1993   32  0.3771  0.0034  0.0736  0.2186  0.0244  0.06
Kushner 1989   9  0.4635  0.0018  0.1225  0.3873  0.0423  0.12
Luisada 1991   48  0.3436  0.0054  0.0646  0.0687  0.0265  0.03
Lushtak 2004   59  0.3146  0.0036  0.0637  0.2170  0.0435  0.09
Malcuzynski 1961   10  0.4637  0.0017  0.1014  0.5486  0.0320  0.13
Magaloff 1978   5  0.5172  0.007  0.249  0.6344  0.098  0.24
Magin 1975   15  0.4460  0.0020  0.1716  0.5182  0.0322  0.12
Michalowski 1933   81  0.2451  0.0073  0.0379  0.0381  0.0373  0.03
Milkina 1970   13  0.4524  0.0019  0.1217  0.4961  0.0616  0.17
Mohovich 1999   22  0.4173  0.0022  0.1019  0.4582  0.0324  0.12
Moravec 1969   11  0.4552  0.009  0.1713  0.5527  0.296  0.40
Morozova 2008   33  0.367  0.0026  0.0926  0.3683  0.0330  0.10
Neighaus 1950   39  0.3547  0.0049  0.0553  0.0580  0.0463  0.04
Niedzielski 1931   35  0.3625  0.0027  0.0824  0.3939  0.129  0.22
Ohlsson 1999   54  0.3274  0.0067  0.0459  0.0478  0.0457  0.04
Osinska 1989   47  0.3585  0.0056  0.0456  0.0474  0.0451  0.04
Pachmann 1927   73  0.2761  0.0074  0.0282  0.0264  0.0472  0.03
Paderewski 1930   62  0.3053  0.0081  0.0283  0.0283  0.0384  0.02
Perlemuter 1992   55  0.3230  0.0039  0.0738  0.2076  0.0338  0.08
Pierdomenico 2008   70  0.2854  0.0066  0.0372  0.0384  0.0369  0.03
Poblocka 1999   53  0.3286  0.0082  0.0374  0.0382  0.0467  0.03
Rabcewiczowa 1932   25  0.3826  0.0011  0.1723  0.4245  0.0813  0.18
Rachmaninoff 1923   12  0.4538  0.006  0.176  0.6645  0.0610  0.20
Rangell 2001   31  0.3775  0.0044  0.0544  0.1082  0.0349  0.05
Richter 1976   77  0.2755  0.0085  0.0466  0.0486  0.0271  0.03
Rosen 1989   21  0.4215  0.0024  0.0827  0.3272  0.0427  0.11
Rosenthal 1930   4  0.704  0.004  0.844  0.932  0.914  0.92
Rosenthal 1931   1  0.931  0.831  0.821  0.991  0.991  0.99
Rosenthal 1931b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931c   3  0.833  0.013  0.903  0.981  0.973  0.97
Rosenthal 1931d   2  0.922  0.162  0.932  0.991  0.992  0.99
Rossi 2007   85  0.2262  0.0063  0.0369  0.0374  0.0468  0.03
Rubinstein 1939   40  0.3563  0.0045  0.0550  0.0565  0.0452  0.04
Rubinstein 1952   37  0.3687  0.0031  0.0728  0.3150  0.0619  0.14
Rubinstein 1966   29  0.3776  0.0040  0.0640  0.1656  0.0726  0.11
Schilhawsky 1960   36  0.3618  0.0030  0.0833  0.2880  0.0333  0.09
Shebanova 2002   61  0.3139  0.0072  0.0376  0.0384  0.0377  0.03
Smith 1975   14  0.4519  0.0010  0.178  0.6452  0.0611  0.20
Sokolov 2002   23  0.3913  0.0038  0.0639  0.1983  0.0339  0.08
Sztompka 1959   66  0.2988  0.0080  0.0281  0.0285  0.0385  0.02
Tomsic 1995   65  0.3077  0.0062  0.0465  0.0482  0.0370  0.03
Uninsky 1932   78  0.2614  0.0084  0.0373  0.0381  0.0376  0.03
Uninsky 1971   67  0.2989  0.0076  0.0288  0.0286  0.0286  0.02
Wasowski 1980   87  0.1864  0.0087  0.0368  0.0380  0.0466  0.03
Zak 1937   41  0.3556  0.0051  0.0555  0.0587  0.0355  0.04
Zak 1951   34  0.3678  0.0043  0.0742  0.1368  0.0441  0.07
Random 1   89  -0.0340  0.0089  0.0289  0.0225  0.2642  0.07
Random 2   88  0.0090  0.0088  0.0280  0.024  0.4831  0.10
Random 3   90  -0.0765  0.0090  0.0190  0.0188  0.0190  0.01

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).