Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   19  0.4216  0.0015  0.0914  0.4671  0.0323  0.12
Anderszewski 2003   37  0.3860  0.0051  0.0847  0.0860  0.0443  0.06
Ashkenazy 1981   12  0.4642  0.0012  0.1213  0.4764  0.0421  0.14
Bacha 2000   72  0.2661  0.0077  0.0470  0.0482  0.0375  0.03
Badura 1965   15  0.439  0.0021  0.1115  0.4638  0.259  0.34
Barbosa 1983   60  0.3143  0.0067  0.0477  0.0474  0.0467  0.04
Biret 1990   56  0.3262  0.0063  0.0556  0.0587  0.0284  0.03
Blet 2003   30  0.386  0.0031  0.0632  0.2171  0.0432  0.09
Block 1995   53  0.3319  0.0028  0.0733  0.2172  0.0336  0.08
Blumental 1952   31  0.3825  0.0026  0.1126  0.3070  0.0427  0.11
Boshniakovich 1969   29  0.3815  0.0025  0.1019  0.4061  0.0520  0.14
Brailowsky 1960   75  0.2363  0.0082  0.0478  0.0488  0.0376  0.03
Bunin 1987   52  0.3364  0.0029  0.0730  0.2440  0.1312  0.18
Bunin 1987b   57  0.3265  0.0036  0.0636  0.1653  0.0529  0.09
Chiu 1999   20  0.4226  0.0039  0.0539  0.1384  0.0342  0.06
Cohen 1997   86  0.1166  0.0088  0.0386  0.0387  0.0289  0.02
Cortot 1951   54  0.3267  0.0061  0.0649  0.0662  0.0454  0.05
Csalog 1996   87  0.1027  0.0085  0.0288  0.0280  0.0388  0.02
Czerny 1949   38  0.3768  0.0020  0.0817  0.4548  0.0711  0.18
Czerny 1990   21  0.4228  0.0013  0.1211  0.4960  0.0517  0.16
Duchoud 2007   43  0.357  0.0044  0.0544  0.0972  0.0444  0.06
Ezaki 2006   33  0.3844  0.0049  0.0557  0.0575  0.0456  0.04
Falvay 1989   84  0.1469  0.0086  0.0387  0.0386  0.0377  0.03
Farrell 1958   34  0.3845  0.0050  0.0748  0.0775  0.0350  0.05
Ferenczy 1958   76  0.2329  0.0068  0.0476  0.0475  0.0382  0.03
Fliere 1977   9  0.4811  0.0011  0.1110  0.5385  0.0322  0.13
Fou 1978   64  0.2946  0.0071  0.0560  0.0575  0.0461  0.04
Francois 1956   69  0.2730  0.0059  0.0566  0.0585  0.0374  0.04
Friedman 1923   1  0.991  1.001  0.991  1.001  1.001  1.00
Friedman 1923b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1930   2  0.762  0.002  0.802  0.912  0.842  0.87
Garcia 2007   46  0.3570  0.0056  0.0565  0.0577  0.0369  0.04
Garcia 2007b   39  0.3747  0.0048  0.0471  0.0446  0.0655  0.05
Gierzod 1998   27  0.3948  0.0024  0.0925  0.3185  0.0235  0.08
Gornostaeva 1994   51  0.3371  0.0030  0.0637  0.1681  0.0245  0.06
Groot 1988   67  0.2849  0.0057  0.0475  0.0465  0.0472  0.04
Harasiewicz 1955   17  0.4322  0.0035  0.0729  0.2479  0.0337  0.08
Hatto 1993   7  0.4850  0.0017  0.0721  0.3747  0.0814  0.17
Hatto 1997   11  0.4672  0.0022  0.1123  0.3366  0.0426  0.11
Horowitz 1949   48  0.3423  0.0040  0.0541  0.1254  0.0534  0.08
Indjic 1988   10  0.4873  0.0018  0.1022  0.3650  0.0715  0.16
Kapell 1951   58  0.3131  0.0046  0.0472  0.0478  0.0462  0.04
Kissin 1993   66  0.2874  0.0058  0.0568  0.0578  0.0366  0.04
Kushner 1989   40  0.3775  0.0055  0.0945  0.0984  0.0351  0.05
Luisada 1991   24  0.4076  0.0041  0.0540  0.1379  0.0341  0.06
Lushtak 2004   36  0.3820  0.0053  0.0561  0.0582  0.0370  0.04
Malcuzynski 1961   41  0.3617  0.0027  0.0728  0.2582  0.0330  0.09
Magaloff 1978   50  0.3377  0.0043  0.0543  0.1085  0.0348  0.05
Magin 1975   28  0.3978  0.0033  0.0827  0.2985  0.0328  0.09
Michalowski 1933   22  0.4251  0.0019  0.0818  0.4233  0.316  0.36
Milkina 1970   80  0.2252  0.0073  0.0563  0.0581  0.0463  0.04
Mohovich 1999   63  0.2979  0.0065  0.0473  0.0463  0.0471  0.04
Moravec 1969   78  0.2210  0.0072  0.0564  0.0584  0.0357  0.04
Morozova 2008   16  0.4312  0.0023  0.1020  0.4058  0.0519  0.14
Neighaus 1950   5  0.5013  0.005  0.185  0.6438  0.207  0.36
Niedzielski 1931   26  0.3932  0.0010  0.1112  0.4925  0.345  0.41
Ohlsson 1999   18  0.4233  0.0014  0.1024  0.3277  0.0425  0.11
Osinska 1989   45  0.358  0.0052  0.0559  0.0578  0.0458  0.04
Pachmann 1927   73  0.264  0.0081  0.0479  0.0478  0.0465  0.04
Paderewski 1930   62  0.2918  0.0060  0.0551  0.0567  0.0464  0.04
Perlemuter 1992   47  0.353  0.0032  0.0635  0.2180  0.0333  0.08
Pierdomenico 2008   77  0.2353  0.0078  0.0567  0.0569  0.0460  0.04
Poblocka 1999   49  0.3434  0.0047  0.0558  0.0560  0.0546  0.05
Rabcewiczowa 1932   71  0.2635  0.0066  0.0474  0.0481  0.0379  0.03
Rachmaninoff 1923   4  0.5054  0.006  0.184  0.6826  0.304  0.45
Rangell 2001   81  0.2180  0.0076  0.0469  0.0481  0.0383  0.03
Richter 1976   61  0.3081  0.0069  0.0552  0.0561  0.0552  0.05
Rosen 1989   13  0.4655  0.009  0.129  0.5457  0.0516  0.16
Rosenthal 1930   59  0.3182  0.0062  0.0562  0.0557  0.0553  0.05
Rosenthal 1931   79  0.2236  0.0080  0.0554  0.0589  0.0281  0.03
Rosenthal 1931b   74  0.2483  0.0074  0.0480  0.0471  0.0386  0.03
Rosenthal 1931c   68  0.2756  0.0064  0.0553  0.0560  0.0473  0.04
Rosenthal 1931d   82  0.2057  0.0079  0.0382  0.0363  0.0485  0.03
Rossi 2007   70  0.275  0.0070  0.0555  0.0555  0.0547  0.05
Rubinstein 1939   83  0.1984  0.0083  0.0383  0.0380  0.0378  0.03
Rubinstein 1952   88  0.0885  0.0087  0.0384  0.0388  0.0387  0.03
Rubinstein 1966   65  0.2986  0.0075  0.0481  0.0484  0.0468  0.04
Schilhawsky 1960   14  0.4587  0.0016  0.0716  0.4654  0.0518  0.15
Shebanova 2002   44  0.3588  0.0045  0.0446  0.0960  0.0539  0.07
Smith 1975   42  0.3621  0.0037  0.0542  0.1074  0.0349  0.05
Sokolov 2002   55  0.3289  0.0054  0.0650  0.0683  0.0359  0.04
Sztompka 1959   6  0.5037  0.007  0.257  0.6133  0.198  0.34
Tomsic 1995   85  0.1358  0.0084  0.0385  0.0386  0.0380  0.03
Uninsky 1932   8  0.4838  0.003  0.226  0.6315  0.483  0.55
Uninsky 1971   23  0.4139  0.008  0.278  0.5737  0.1810  0.32
Wasowski 1980   35  0.3890  0.0042  0.0638  0.1476  0.0438  0.07
Zak 1937   25  0.4040  0.0034  0.0731  0.2455  0.0524  0.11
Zak 1951   32  0.3841  0.0038  0.0534  0.2178  0.0431  0.09
Average   3  0.5259  0.004  0.163  0.7067  0.0413  0.17
Random 1   90  -0.0614  0.0089  0.0289  0.0228  0.2240  0.07
Random 2   91  -0.0691  0.0090  0.0190  0.0178  0.0290  0.01
Random 3   89  -0.0524  0.0091  0.0191  0.0184  0.0291  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).