Kapell 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   81  0.2388  0.0082  0.0387  0.0370  0.0485  0.03
Anderszewski 2003   33  0.4240  0.0016  0.1116  0.4113  0.6113  0.50
Ashkenazy 1981   47  0.3950  0.0064  0.0849  0.0859  0.0664  0.07
Bacha 2000   58  0.3624  0.0044  0.0443  0.0916  0.4939  0.21
Badura 1965   78  0.2573  0.0074  0.0473  0.0480  0.0386  0.03
Barbosa 1983   6  0.5110  0.013  0.216  0.585  0.694  0.63
Biret 1990   52  0.3839  0.0062  0.0654  0.0637  0.2656  0.12
Blet 2003   50  0.3944  0.0051  0.0751  0.0721  0.4744  0.18
Block 1995   46  0.3937  0.0027  0.0633  0.2332  0.3038  0.26
Blumental 1952   31  0.4215  0.0138  0.0735  0.2121  0.4931  0.32
Boshniakovich 1969   37  0.4146  0.0029  0.0626  0.3129  0.3132  0.31
Brailowsky 1960   73  0.2774  0.0077  0.0474  0.0452  0.0669  0.05
Bunin 1987   30  0.4343  0.0039  0.0738  0.1810  0.5534  0.31
Bunin 1987b   24  0.4456  0.0033  0.0829  0.294  0.6122  0.42
Chiu 1999   12  0.4712  0.0112  0.1519  0.3916  0.5019  0.44
Cohen 1997   79  0.2416  0.0178  0.0384  0.0383  0.0387  0.03
Cortot 1951   83  0.2267  0.0073  0.0477  0.0445  0.1265  0.07
Csalog 1996   51  0.3813  0.0125  0.0532  0.2416  0.4330  0.32
Czerny 1949   64  0.345  0.0241  0.0444  0.0930  0.4941  0.21
Czerny 1990   2  0.583  0.052  0.402  0.793  0.851  0.82
Duchoud 2007   48  0.3941  0.0053  0.0750  0.0711  0.5442  0.19
Ezaki 2006   67  0.3214  0.0158  0.0567  0.0556  0.0766  0.06
Falvay 1989   17  0.4664  0.0028  0.0624  0.3322  0.3829  0.35
Farrell 1958   43  0.4036  0.0017  0.1325  0.326  0.5920  0.43
Ferenczy 1958   84  0.1990  0.0086  0.0479  0.0469  0.0478  0.04
Fliere 1977   14  0.4742  0.0014  0.1214  0.4432  0.3526  0.39
Fou 1978   16  0.4645  0.0015  0.1412  0.509  0.647  0.57
Francois 1956   75  0.2753  0.0076  0.0657  0.0665  0.0473  0.05
Friedman 1923   71  0.2861  0.0071  0.0564  0.0551  0.0674  0.05
Friedman 1923b   69  0.2962  0.0070  0.0568  0.0552  0.0671  0.05
Friedman 1930   65  0.3425  0.0066  0.0946  0.0960  0.0561  0.07
Garcia 2007   29  0.4331  0.0030  0.0727  0.3110  0.5921  0.43
Garcia 2007b   27  0.4376  0.0020  0.0723  0.3410  0.6715  0.48
Gierzod 1998   70  0.2986  0.0067  0.0566  0.0570  0.0570  0.05
Gornostaeva 1994   61  0.3649  0.0060  0.0572  0.0539  0.1759  0.09
Groot 1988   49  0.3951  0.0056  0.0658  0.0684  0.0381  0.04
Harasiewicz 1955   7  0.5119  0.0010  0.1211  0.5118  0.4914  0.50
Hatto 1993   11  0.496  0.019  0.129  0.5313  0.599  0.56
Hatto 1997   15  0.4648  0.0018  0.1315  0.4214  0.5317  0.47
Horowitz 1949   56  0.3734  0.0046  0.0476  0.0438  0.2957  0.11
Indjic 1988   9  0.5035  0.0011  0.1510  0.5211  0.638  0.57
Kapell 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kissin 1993   21  0.4569  0.0032  0.1031  0.2816  0.6423  0.42
Kushner 1989   10  0.4920  0.008  0.178  0.5416  0.5212  0.53
Luisada 1991   42  0.4058  0.0063  0.0652  0.0650  0.0767  0.06
Lushtak 2004   41  0.4071  0.0052  0.0848  0.0828  0.3250  0.16
Malcuzynski 1961   23  0.449  0.0131  0.0822  0.3528  0.4427  0.39
Magaloff 1978   66  0.3385  0.0068  0.0563  0.0574  0.0375  0.04
Magin 1975   36  0.4126  0.0034  0.0634  0.2224  0.4235  0.30
Michalowski 1933   77  0.2778  0.0072  0.0475  0.0438  0.2158  0.09
Milkina 1970   28  0.4311  0.0121  0.0817  0.4021  0.5516  0.47
Mohovich 1999   38  0.4128  0.0026  0.0530  0.2833  0.3533  0.31
Moravec 1969   20  0.4555  0.0037  0.0637  0.2131  0.3237  0.26
Morozova 2008   34  0.4232  0.0019  0.0918  0.4014  0.5318  0.46
Neighaus 1950   68  0.3183  0.0069  0.0656  0.0658  0.0572  0.05
Niedzielski 1931   57  0.3622  0.0040  0.0542  0.0922  0.3643  0.18
Ohlsson 1999   62  0.3581  0.0055  0.0562  0.0566  0.0477  0.04
Osinska 1989   40  0.4059  0.0036  0.0639  0.1743  0.1646  0.16
Pachmann 1927   60  0.3633  0.0059  0.0569  0.0519  0.4751  0.15
Paderewski 1930   76  0.2782  0.0075  0.0560  0.0545  0.1260  0.08
Perlemuter 1992   74  0.2772  0.0080  0.0380  0.0369  0.0482  0.03
Pierdomenico 2008   55  0.3754  0.0048  0.0561  0.0517  0.5048  0.16
Poblocka 1999   13  0.4738  0.0013  0.1113  0.487  0.6310  0.55
Rabcewiczowa 1932   54  0.3780  0.0061  0.0565  0.0536  0.3155  0.12
Rachmaninoff 1923   53  0.3860  0.0057  0.0653  0.0636  0.2454  0.12
Rangell 2001   26  0.438  0.0149  0.0655  0.0621  0.5045  0.17
Richter 1976   4  0.5330  0.005  0.183  0.656  0.762  0.70
Rosen 1989   45  0.3963  0.0054  0.0570  0.0564  0.0480  0.04
Rosenthal 1930   72  0.2884  0.0079  0.0383  0.0355  0.0579  0.04
Rosenthal 1931   87  0.1777  0.0087  0.0388  0.0366  0.0484  0.03
Rosenthal 1931b   88  0.1687  0.0088  0.0385  0.0376  0.0389  0.03
Rosenthal 1931c   82  0.2391  0.0084  0.0381  0.0385  0.0291  0.02
Rosenthal 1931d   85  0.1857  0.0085  0.0386  0.0368  0.0488  0.03
Rossi 2007   86  0.1889  0.0081  0.0382  0.0365  0.0483  0.03
Rubinstein 1939   44  0.3966  0.0035  0.0636  0.2122  0.4136  0.29
Rubinstein 1952   8  0.504  0.027  0.184  0.616  0.673  0.64
Rubinstein 1966   5  0.5217  0.006  0.185  0.5912  0.635  0.61
Schilhawsky 1960   59  0.3652  0.0050  0.0659  0.0612  0.4549  0.16
Shebanova 2002   25  0.4418  0.0045  0.0447  0.0859  0.0662  0.07
Smith 1975   80  0.2479  0.0083  0.0478  0.0469  0.0476  0.04
Sokolov 2002   63  0.3465  0.0065  0.1041  0.1037  0.2747  0.16
Sztompka 1959   35  0.4170  0.0047  0.0571  0.0529  0.3852  0.14
Tomsic 1995   32  0.4221  0.0042  0.0440  0.1122  0.3940  0.21
Uninsky 1932   18  0.4629  0.0024  0.0528  0.3015  0.5425  0.40
Uninsky 1971   39  0.4023  0.0043  0.0445  0.0940  0.1953  0.13
Wasowski 1980   3  0.532  0.074  0.207  0.565  0.636  0.59
Zak 1937   19  0.457  0.0122  0.0620  0.3716  0.4624  0.41
Zak 1951   22  0.4427  0.0023  0.0721  0.3521  0.4328  0.39
Average   1  0.641  0.681  0.671  0.8529  0.3611  0.55
Random 1   90  -0.0268  0.0089  0.0289  0.0231  0.2763  0.07
Random 2   89  0.0247  0.0091  0.0191  0.0149  0.0590  0.02
Random 3   91  -0.0375  0.0090  0.0190  0.0121  0.3168  0.06

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).