Kapell 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   18  0.7164  0.0025  0.0616  0.2732  0.2923  0.28
Anderszewski 2003   60  0.5843  0.0055  0.0558  0.0536  0.2168  0.10
Ashkenazy 1981   52  0.6136  0.0023  0.0523  0.2013  0.4024  0.28
Bacha 2000   74  0.5377  0.0056  0.0464  0.0417  0.3357  0.11
Badura 1965   80  0.5020  0.0150  0.0557  0.0538  0.2956  0.12
Barbosa 1983   87  0.3621  0.0157  0.0461  0.0418  0.3063  0.11
Biret 1990   33  0.6627  0.0020  0.0620  0.2311  0.4917  0.34
Blet 2003   34  0.6657  0.0053  0.0374  0.0323  0.3072  0.09
Block 1995   81  0.4918  0.0169  0.0383  0.0340  0.1182  0.06
Blumental 1952   36  0.6514  0.0118  0.0518  0.254  0.4220  0.32
Boshniakovich 1969   35  0.6669  0.0045  0.0443  0.0835  0.2347  0.14
Brailowsky 1960   72  0.5578  0.0068  0.0462  0.0418  0.3653  0.12
Bunin 1987   56  0.5985  0.0064  0.0468  0.0415  0.4648  0.14
Bunin 1987b   58  0.5879  0.0062  0.0467  0.0415  0.4646  0.14
Chiu 1999   82  0.4780  0.0048  0.0550  0.0512  0.3450  0.13
Cohen 1997   88  0.2781  0.0088  0.0375  0.0341  0.1579  0.07
Cortot 1951   9  0.7462  0.0013  0.0511  0.341  0.637  0.46
Csalog 1996   2  0.777  0.039  0.1013  0.331  0.704  0.48
Czerny 1949   32  0.6666  0.0042  0.0536  0.1332  0.3732  0.22
Czerny 1990   28  0.699  0.0322  0.0528  0.1725  0.2734  0.21
Duchoud 2007   77  0.5156  0.0073  0.0379  0.0326  0.2477  0.08
Ezaki 2006   44  0.6333  0.0034  0.0432  0.1421  0.3829  0.23
Falvay 1989   84  0.4576  0.0085  0.0288  0.0250  0.0988  0.04
Farrell 1958   83  0.4758  0.0076  0.0556  0.0554  0.0685  0.05
Ferenczy 1958   20  0.7126  0.0014  0.0610  0.361  0.635  0.48
Fliere 1977   3  0.7747  0.007  0.143  0.4512  0.439  0.44
Fou 1978   42  0.6428  0.0039  0.0340  0.1117  0.3536  0.20
Francois 1956   62  0.5882  0.0075  0.0466  0.0442  0.1280  0.07
Friedman 1923   69  0.5686  0.0060  0.0469  0.0438  0.3366  0.11
Friedman 1923b   70  0.5552  0.0059  0.0460  0.0436  0.3364  0.11
Friedman 1930   61  0.5823  0.0163  0.0373  0.0333  0.3569  0.10
Garcia 2007   26  0.6934  0.0040  0.0433  0.1414  0.4626  0.25
Garcia 2007b   12  0.7339  0.0012  0.0712  0.3311  0.5113  0.41
Gierzod 1998   22  0.7073  0.0030  0.0430  0.1535  0.2142  0.18
Gornostaeva 1994   53  0.6049  0.0072  0.0472  0.0439  0.1083  0.06
Groot 1988   68  0.5610  0.0236  0.0446  0.0627  0.3349  0.14
Harasiewicz 1955   39  0.645  0.042  0.102  0.486  0.522  0.50
Hatto 1993   67  0.5667  0.0044  0.0639  0.1226  0.2941  0.19
Hatto 1997   64  0.5850  0.0015  0.0534  0.1325  0.3137  0.20
Horowitz 1949   50  0.6174  0.0065  0.0463  0.0440  0.2861  0.11
Indjic 1988   65  0.5759  0.0043  0.0438  0.1229  0.2939  0.19
Kapell 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kissin 1993   25  0.7055  0.0047  0.0548  0.0529  0.2562  0.11
Kushner 1989   11  0.7337  0.0021  0.0621  0.2316  0.4718  0.33
Luisada 1991   47  0.6265  0.0051  0.0459  0.0439  0.1576  0.08
Lushtak 2004   55  0.5953  0.0035  0.0427  0.178  0.3727  0.25
Malcuzynski 1961   63  0.5848  0.0071  0.0380  0.0319  0.2971  0.09
Magaloff 1978   76  0.5230  0.0082  0.0382  0.0365  0.0587  0.04
Magin 1975   19  0.7124  0.0146  0.0647  0.0630  0.2454  0.12
Michalowski 1933   29  0.6916  0.0128  0.0435  0.1319  0.4130  0.23
Milkina 1970   27  0.6931  0.0049  0.0554  0.0525  0.3351  0.13
Mohovich 1999   15  0.7146  0.0019  0.0517  0.257  0.5815  0.38
Moravec 1969   59  0.5815  0.0170  0.0381  0.0321  0.4258  0.11
Morozova 2008   38  0.6444  0.0052  0.0745  0.0724  0.3144  0.15
Neighaus 1950   43  0.6389  0.0024  0.0525  0.1731  0.2735  0.21
Niedzielski 1931   30  0.6883  0.0041  0.0437  0.1212  0.4928  0.24
Ohlsson 1999   51  0.6145  0.0026  0.0529  0.1631  0.2733  0.21
Osinska 1989   21  0.7013  0.0231  0.0524  0.1824  0.3625  0.25
Pachmann 1927   78  0.5168  0.0086  0.0287  0.0249  0.0589  0.03
Paderewski 1930   31  0.6861  0.0037  0.0344  0.0816  0.3843  0.17
Perlemuter 1992   37  0.6560  0.0011  0.1015  0.3013  0.4616  0.37
Pierdomenico 2008   85  0.4432  0.0087  0.0384  0.0347  0.0884  0.05
Poblocka 1999   4  0.764  0.054  0.104  0.4510  0.523  0.48
Rabcewiczowa 1932   13  0.7317  0.0133  0.0526  0.173  0.4922  0.29
Rachmaninoff 1923   48  0.6271  0.0054  0.0553  0.0527  0.2359  0.11
Rangell 2001   66  0.573  0.0527  0.0442  0.0914  0.4040  0.19
Richter 1976   75  0.5340  0.0074  0.0465  0.0433  0.3655  0.12
Rosen 1989   10  0.7441  0.0029  0.0431  0.1520  0.3531  0.23
Rosenthal 1930   24  0.7054  0.0061  0.0552  0.058  0.4845  0.15
Rosenthal 1931   46  0.6251  0.0079  0.0378  0.0322  0.3267  0.10
Rosenthal 1931b   49  0.6172  0.0080  0.0376  0.0326  0.2675  0.09
Rosenthal 1931c   40  0.6435  0.0078  0.0555  0.0520  0.3252  0.13
Rosenthal 1931d   57  0.5887  0.0081  0.0470  0.0429  0.2174  0.09
Rossi 2007   86  0.4070  0.0083  0.0385  0.0338  0.1578  0.07
Rubinstein 1939   71  0.5529  0.0077  0.0551  0.0533  0.1870  0.09
Rubinstein 1952   54  0.5911  0.0266  0.0471  0.0434  0.3365  0.11
Rubinstein 1966   73  0.5412  0.0267  0.0377  0.0336  0.2773  0.09
Schilhawsky 1960   23  0.7042  0.0032  0.0522  0.2128  0.4421  0.30
Shebanova 2002   5  0.766  0.046  0.166  0.4210  0.4611  0.44
Smith 1975   41  0.6438  0.0058  0.0549  0.0525  0.2360  0.11
Sokolov 2002   45  0.6363  0.0038  0.0341  0.1014  0.3738  0.19
Sztompka 1959   17  0.712  0.055  0.137  0.4111  0.4412  0.42
Tomsic 1995   79  0.5084  0.0084  0.0286  0.0239  0.1981  0.06
Uninsky 1932   14  0.7219  0.0116  0.0519  0.2417  0.4419  0.32
Uninsky 1971   7  0.7525  0.0017  0.0614  0.319  0.4714  0.38
Wasowski 1980   16  0.718  0.0310  0.099  0.373  0.538  0.44
Zak 1937   6  0.7522  0.013  0.125  0.435  0.506  0.46
Zak 1951   8  0.7475  0.008  0.148  0.407  0.4910  0.44
Average   1  0.801  0.421  0.421  0.638  0.501  0.56
Random 1   90  -0.1890  0.0089  0.0189  0.0126  0.2386  0.05
Random 2   89  -0.1691  0.0091  0.0191  0.0176  0.0390  0.02
Random 3   91  -0.1988  0.0090  0.0190  0.0148  0.0591  0.02

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).