Kapell 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   17  0.7159  0.0024  0.0615  0.2731  0.2922  0.28
Anderszewski 2003   59  0.5846  0.0054  0.0557  0.0535  0.2169  0.10
Ashkenazy 1981   51  0.6139  0.0022  0.0522  0.2012  0.4023  0.28
Bacha 2000   73  0.5378  0.0055  0.0463  0.0416  0.3357  0.11
Badura 1965   79  0.5023  0.0149  0.0556  0.0537  0.2956  0.12
Barbosa 1983   86  0.3627  0.0156  0.0460  0.0417  0.3063  0.11
Biret 1990   32  0.6618  0.0119  0.0619  0.2310  0.4916  0.34
Blet 2003   33  0.6660  0.0052  0.0473  0.0422  0.3064  0.11
Block 1995   80  0.4924  0.0168  0.0382  0.0339  0.1181  0.06
Blumental 1952   35  0.6517  0.0117  0.0517  0.253  0.4219  0.32
Boshniakovich 1969   34  0.6670  0.0044  0.0442  0.0834  0.2346  0.14
Brailowsky 1960   71  0.5574  0.0067  0.0461  0.0417  0.3652  0.12
Bunin 1987   55  0.5985  0.0063  0.0467  0.0415  0.4647  0.14
Bunin 1987b   57  0.5879  0.0061  0.0466  0.0415  0.4645  0.14
Chiu 1999   81  0.4771  0.0047  0.0549  0.0511  0.3449  0.13
Cohen 1997   87  0.2780  0.0087  0.0474  0.0440  0.1577  0.08
Cortot 1951   8  0.7467  0.0012  0.0510  0.341  0.636  0.46
Csalog 1996   1  0.778  0.048  0.1112  0.331  0.703  0.48
Czerny 1949   31  0.6662  0.0041  0.0535  0.1331  0.3731  0.22
Czerny 1990   27  0.6910  0.0321  0.0527  0.1724  0.2733  0.21
Duchoud 2007   76  0.5157  0.0072  0.0378  0.0325  0.2476  0.08
Ezaki 2006   43  0.6328  0.0133  0.0431  0.1420  0.3828  0.23
Falvay 1989   83  0.4577  0.0084  0.0287  0.0249  0.0987  0.04
Farrell 1958   82  0.4758  0.0075  0.0555  0.0553  0.0684  0.05
Ferenczy 1958   19  0.7125  0.0113  0.069  0.361  0.634  0.48
Fliere 1977   2  0.775  0.076  0.142  0.4511  0.438  0.44
Fou 1978   41  0.6433  0.0038  0.0339  0.1116  0.3535  0.20
Francois 1956   61  0.5881  0.0074  0.0465  0.0441  0.1279  0.07
Friedman 1923   68  0.5686  0.0059  0.0468  0.0437  0.3367  0.11
Friedman 1923b   69  0.5552  0.0058  0.0459  0.0435  0.3365  0.11
Friedman 1930   60  0.5829  0.0162  0.0472  0.0432  0.3555  0.12
Garcia 2007   25  0.6940  0.0039  0.0432  0.1413  0.4625  0.25
Garcia 2007b   11  0.7343  0.0011  0.0711  0.3310  0.5112  0.41
Gierzod 1998   21  0.7069  0.0029  0.0429  0.1534  0.2141  0.18
Gornostaeva 1994   52  0.6050  0.0071  0.0471  0.0438  0.1082  0.06
Groot 1988   67  0.5612  0.0335  0.0445  0.0626  0.3348  0.14
Harasiewicz 1955   38  0.641  0.101  0.101  0.485  0.521  0.50
Hatto 1993   66  0.5656  0.0043  0.0638  0.1225  0.2940  0.19
Hatto 1997   63  0.5811  0.0314  0.0533  0.1324  0.3136  0.20
Horowitz 1949   49  0.6175  0.0064  0.0462  0.0439  0.2861  0.11
Indjic 1988   64  0.5763  0.0042  0.0437  0.1228  0.2938  0.19
Kapell 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kissin 1993   24  0.7054  0.0046  0.0547  0.0528  0.2562  0.11
Kushner 1989   10  0.7342  0.0020  0.0620  0.2315  0.4717  0.33
Luisada 1991   46  0.6261  0.0050  0.0458  0.0438  0.1575  0.08
Lushtak 2004   54  0.5953  0.0034  0.0426  0.177  0.3726  0.25
Malcuzynski 1961   62  0.5849  0.0070  0.0379  0.0318  0.2971  0.09
Magaloff 1978   75  0.5237  0.0081  0.0381  0.0364  0.0586  0.04
Magin 1975   18  0.7130  0.0145  0.0646  0.0629  0.2453  0.12
Michalowski 1933   28  0.6920  0.0127  0.0434  0.1318  0.4129  0.23
Milkina 1970   26  0.6936  0.0048  0.0553  0.0524  0.3350  0.13
Mohovich 1999   14  0.7134  0.0018  0.0516  0.256  0.5814  0.38
Moravec 1969   58  0.5819  0.0169  0.0380  0.0320  0.4258  0.11
Morozova 2008   37  0.6447  0.0051  0.0744  0.0723  0.3143  0.15
Neighaus 1950   42  0.6388  0.0023  0.0524  0.1730  0.2734  0.21
Niedzielski 1931   29  0.6882  0.0040  0.0436  0.1211  0.4927  0.24
Ohlsson 1999   50  0.6148  0.0025  0.0528  0.1630  0.2732  0.21
Osinska 1989   20  0.7016  0.0230  0.0523  0.1823  0.3624  0.25
Pachmann 1927   77  0.5165  0.0085  0.0286  0.0248  0.0588  0.03
Paderewski 1930   30  0.6864  0.0036  0.0343  0.0815  0.3842  0.17
Perlemuter 1992   36  0.6515  0.0210  0.1114  0.3012  0.4615  0.37
Pierdomenico 2008   84  0.4438  0.0086  0.0383  0.0346  0.0883  0.05
Poblocka 1999   3  0.762  0.103  0.113  0.459  0.522  0.48
Rabcewiczowa 1932   12  0.7321  0.0132  0.0525  0.172  0.4921  0.29
Rachmaninoff 1923   47  0.6266  0.0053  0.0552  0.0526  0.2359  0.11
Rangell 2001   65  0.577  0.0526  0.0441  0.0913  0.4039  0.19
Richter 1976   74  0.5344  0.0073  0.0464  0.0432  0.3654  0.12
Rosen 1989   9  0.7431  0.0028  0.0430  0.1519  0.3530  0.23
Rosenthal 1930   23  0.7055  0.0060  0.0551  0.057  0.4844  0.15
Rosenthal 1931   45  0.6251  0.0078  0.0377  0.0321  0.3268  0.10
Rosenthal 1931b   48  0.6173  0.0079  0.0375  0.0325  0.2674  0.09
Rosenthal 1931c   39  0.6441  0.0077  0.0554  0.0519  0.3251  0.13
Rosenthal 1931d   56  0.5883  0.0080  0.0469  0.0428  0.2173  0.09
Rossi 2007   85  0.4072  0.0082  0.0384  0.0337  0.1578  0.07
Rubinstein 1939   70  0.5535  0.0076  0.0550  0.0532  0.1870  0.09
Rubinstein 1952   53  0.5913  0.0265  0.0470  0.0433  0.3366  0.11
Rubinstein 1966   72  0.5414  0.0266  0.0376  0.0335  0.2772  0.09
Schilhawsky 1960   22  0.7045  0.0031  0.0521  0.2127  0.4420  0.30
Shebanova 2002   4  0.766  0.065  0.165  0.429  0.4610  0.44
Smith 1975   40  0.6422  0.0157  0.0548  0.0524  0.2360  0.11
Sokolov 2002   44  0.6368  0.0037  0.0340  0.1013  0.3737  0.19
Sztompka 1959   16  0.714  0.084  0.136  0.4110  0.4411  0.42
Tomsic 1995   78  0.5084  0.0083  0.0285  0.0238  0.1980  0.06
Uninsky 1932   13  0.7226  0.0115  0.0518  0.2416  0.4418  0.32
Uninsky 1971   6  0.7532  0.0016  0.0713  0.319  0.4713  0.38
Wasowski 1980   15  0.719  0.049  0.108  0.372  0.537  0.44
Zak 1937   5  0.753  0.092  0.124  0.434  0.505  0.46
Zak 1951   7  0.7476  0.007  0.157  0.406  0.499  0.44
Random 1   89  -0.1889  0.0088  0.0188  0.0126  0.2285  0.05
Random 2   88  -0.1690  0.0090  0.0190  0.0175  0.0389  0.02
Random 3   90  -0.1987  0.0089  0.0189  0.0147  0.0590  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).