Kapell 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   24  0.7059  0.0032  0.0729  0.3434  0.1736  0.24
Anderszewski 2003   29  0.673  0.115  0.159  0.518  0.546  0.52
Ashkenazy 1981   32  0.6641  0.0022  0.0818  0.4315  0.3920  0.41
Bacha 2000   61  0.5247  0.0069  0.0463  0.0447  0.0652  0.05
Badura 1965   71  0.4383  0.0058  0.0554  0.0554  0.0464  0.04
Barbosa 1983   44  0.5854  0.0038  0.0840  0.1830  0.3135  0.24
Biret 1990   10  0.7571  0.0019  0.0821  0.4210  0.4318  0.42
Blet 2003   15  0.7331  0.0025  0.0819  0.4317  0.3821  0.40
Block 1995   69  0.4584  0.0079  0.0281  0.0273  0.0385  0.02
Blumental 1952   77  0.3818  0.0121  0.0831  0.2911  0.3432  0.31
Boshniakovich 1969   72  0.4379  0.0082  0.0283  0.0283  0.0387  0.02
Brailowsky 1960   63  0.4926  0.0178  0.0375  0.0368  0.0468  0.03
Bunin 1987   19  0.7132  0.0027  0.1217  0.4413  0.4315  0.43
Bunin 1987b   18  0.7149  0.0028  0.1616  0.4413  0.4314  0.43
Chiu 1999   82  0.3463  0.0068  0.0465  0.0477  0.0370  0.03
Cohen 1997   81  0.359  0.0373  0.0367  0.0338  0.1451  0.06
Cortot 1951   9  0.7613  0.016  0.1111  0.503  0.537  0.51
Csalog 1996   58  0.5357  0.0072  0.0366  0.0342  0.1849  0.07
Czerny 1949   12  0.7437  0.009  0.156  0.537  0.544  0.53
Czerny 1990   7  0.7714  0.0113  0.177  0.5211  0.4111  0.46
Duchoud 2007   5  0.7855  0.0018  0.0915  0.4416  0.4413  0.44
Ezaki 2006   20  0.7133  0.0030  0.0825  0.3851  0.0540  0.14
Falvay 1989   41  0.5938  0.0053  0.0548  0.0550  0.0553  0.05
Farrell 1958   28  0.6748  0.0042  0.0643  0.1427  0.2138  0.17
Ferenczy 1958   1  0.852  0.142  0.325  0.551  0.652  0.60
Fliere 1977   27  0.6829  0.0144  0.0644  0.1168  0.0447  0.07
Fou 1978   80  0.3656  0.0086  0.0288  0.0278  0.0381  0.02
Francois 1956   13  0.7312  0.0126  0.0823  0.4016  0.3325  0.36
Friedman 1923   86  0.1752  0.0046  0.0551  0.0529  0.2543  0.11
Friedman 1923b   85  0.1861  0.0045  0.0545  0.0928  0.2739  0.16
Friedman 1930   70  0.4427  0.0135  0.0834  0.2713  0.4128  0.33
Garcia 2007   76  0.3851  0.0050  0.0462  0.0429  0.2544  0.10
Garcia 2007b   88  0.1680  0.0071  0.0373  0.0351  0.0479  0.03
Gierzod 1998   14  0.7342  0.0023  0.0920  0.425  0.4317  0.42
Gornostaeva 1994   40  0.6064  0.0063  0.0377  0.0372  0.0377  0.03
Groot 1988   33  0.6568  0.0055  0.0647  0.0665  0.0365  0.04
Harasiewicz 1955   66  0.4710  0.0217  0.0928  0.3558  0.0442  0.12
Hatto 1993   68  0.4543  0.0034  0.0837  0.2211  0.4233  0.30
Hatto 1997   50  0.5528  0.0114  0.1026  0.3611  0.4522  0.40
Horowitz 1949   62  0.4920  0.0161  0.0461  0.0464  0.0459  0.04
Indjic 1988   65  0.4846  0.0033  0.0736  0.2310  0.4430  0.32
Kapell 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kissin 1993   67  0.4630  0.0180  0.0379  0.0385  0.0282  0.02
Kushner 1989   36  0.6377  0.0057  0.0550  0.0572  0.0357  0.04
Luisada 1991   55  0.5439  0.0052  0.0549  0.0565  0.0455  0.04
Lushtak 2004   30  0.6616  0.0112  0.1312  0.4720  0.3519  0.41
Malcuzynski 1961   23  0.7050  0.0041  0.0642  0.1575  0.0348  0.07
Magaloff 1978   42  0.5969  0.0064  0.0374  0.0364  0.0371  0.03
Magin 1975   75  0.3819  0.0174  0.0371  0.0377  0.0280  0.02
Michalowski 1933   47  0.5611  0.028  0.1410  0.517  0.468  0.48
Milkina 1970   45  0.5766  0.0075  0.0369  0.0369  0.0475  0.03
Mohovich 1999   31  0.6676  0.0043  0.0641  0.1651  0.0446  0.08
Moravec 1969   21  0.7053  0.0039  0.1132  0.2921  0.3529  0.32
Morozova 2008   64  0.4835  0.0051  0.0553  0.0566  0.0461  0.04
Neighaus 1950   35  0.6344  0.0040  0.0738  0.2059  0.0445  0.09
Niedzielski 1931   39  0.6036  0.0049  0.0456  0.0410  0.3941  0.12
Ohlsson 1999   11  0.7434  0.0029  0.1024  0.4017  0.3224  0.36
Osinska 1989   25  0.6972  0.0036  0.0833  0.2731  0.2134  0.24
Pachmann 1927   79  0.3725  0.0181  0.0380  0.0347  0.0560  0.04
Paderewski 1930   17  0.7222  0.0131  0.1127  0.362  0.5016  0.42
Perlemuter 1992   59  0.5267  0.0048  0.0458  0.0467  0.0367  0.03
Pierdomenico 2008   60  0.5288  0.0065  0.0370  0.0369  0.0372  0.03
Poblocka 1999   2  0.841  0.221  0.222  0.581  0.641  0.61
Rabcewiczowa 1932   22  0.7073  0.0024  0.0822  0.419  0.4712  0.44
Rachmaninoff 1923   57  0.5365  0.0047  0.0455  0.0466  0.0456  0.04
Rangell 2001   48  0.5621  0.0170  0.0460  0.0468  0.0378  0.03
Richter 1976   38  0.627  0.0316  0.1035  0.2614  0.3631  0.31
Rosen 1989   49  0.5674  0.0066  0.0372  0.0384  0.0286  0.02
Rosenthal 1930   43  0.5962  0.0059  0.0459  0.0456  0.0463  0.04
Rosenthal 1931   78  0.3789  0.0084  0.0290  0.0275  0.0383  0.02
Rosenthal 1931b   83  0.3390  0.0085  0.0287  0.0276  0.0389  0.02
Rosenthal 1931c   46  0.5685  0.0067  0.0464  0.0454  0.0466  0.04
Rosenthal 1931d   74  0.3991  0.0087  0.0284  0.0279  0.0288  0.02
Rossi 2007   87  0.1781  0.0076  0.0376  0.0370  0.0369  0.03
Rubinstein 1939   84  0.308  0.0389  0.0285  0.0246  0.0673  0.03
Rubinstein 1952   73  0.4240  0.0088  0.0289  0.0274  0.0390  0.02
Rubinstein 1966   54  0.5470  0.0077  0.0282  0.0253  0.0576  0.03
Schilhawsky 1960   6  0.7824  0.013  0.163  0.562  0.593  0.57
Shebanova 2002   56  0.5478  0.0062  0.0368  0.0355  0.0562  0.04
Smith 1975   16  0.7323  0.0111  0.128  0.5215  0.2923  0.39
Sokolov 2002   8  0.776  0.0415  0.0814  0.4711  0.469  0.46
Sztompka 1959   4  0.794  0.064  0.194  0.559  0.505  0.52
Tomsic 1995   34  0.6475  0.0054  0.0646  0.0663  0.0454  0.05
Uninsky 1932   51  0.5517  0.0120  0.0730  0.3123  0.3726  0.34
Uninsky 1971   26  0.6815  0.017  0.1313  0.4710  0.4610  0.46
Wasowski 1980   37  0.6345  0.0037  0.0739  0.1920  0.2537  0.22
Zak 1937   52  0.5582  0.0060  0.0457  0.0475  0.0374  0.03
Zak 1951   53  0.5458  0.0056  0.0552  0.0567  0.0458  0.04
Average   3  0.825  0.0410  0.121  0.5936  0.1927  0.33
Random 1   91  -0.2686  0.0091  0.0191  0.0190  0.0191  0.01
Random 2   90  -0.0987  0.0090  0.0286  0.0255  0.0384  0.02
Random 3   89  0.0860  0.0083  0.0378  0.0333  0.1550  0.07

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).