Kapell 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   44  0.5456  0.0057  0.0653  0.0651  0.0680  0.06
Anderszewski 2003   25  0.6115  0.0113  0.117  0.4912  0.559  0.52
Ashkenazy 1981   70  0.4971  0.0064  0.0469  0.0447  0.0781  0.05
Bacha 2000   78  0.4688  0.0066  0.0557  0.0515  0.3750  0.14
Badura 1965   81  0.4447  0.0059  0.0474  0.0438  0.2670  0.10
Barbosa 1983   67  0.5024  0.0022  0.1123  0.359  0.5818  0.45
Biret 1990   35  0.5858  0.0033  0.0436  0.2227  0.2938  0.25
Blet 2003   61  0.5130  0.0069  0.0475  0.0428  0.2862  0.11
Block 1995   55  0.523  0.0221  0.0929  0.269  0.5427  0.37
Blumental 1952   31  0.5926  0.0028  0.0725  0.309  0.4628  0.37
Boshniakovich 1969   29  0.5950  0.0039  0.0537  0.2132  0.3336  0.26
Brailowsky 1960   71  0.4852  0.0079  0.0379  0.0342  0.2176  0.08
Bunin 1987   63  0.5172  0.0070  0.0555  0.0524  0.4054  0.14
Bunin 1987b   60  0.5276  0.0067  0.0467  0.0416  0.4651  0.14
Chiu 1999   74  0.4768  0.0050  0.0749  0.0715  0.3647  0.16
Cohen 1997   88  0.3227  0.0088  0.0472  0.0448  0.0682  0.05
Cortot 1951   57  0.5281  0.0046  0.0650  0.067  0.6146  0.19
Csalog 1996   7  0.6519  0.018  0.1013  0.432  0.716  0.55
Czerny 1949   20  0.6328  0.0010  0.0910  0.4720  0.5314  0.50
Czerny 1990   5  0.665  0.027  0.108  0.4912  0.607  0.54
Duchoud 2007   80  0.4462  0.0073  0.0380  0.0320  0.3269  0.10
Ezaki 2006   18  0.636  0.029  0.1411  0.478  0.645  0.55
Falvay 1989   47  0.5442  0.0063  0.0651  0.0636  0.2756  0.13
Farrell 1958   66  0.5021  0.0045  0.0644  0.1227  0.4140  0.22
Ferenczy 1958   42  0.5566  0.0054  0.0465  0.046  0.5749  0.15
Fliere 1977   3  0.6822  0.004  0.154  0.6119  0.468  0.53
Fou 1978   21  0.6210  0.0117  0.1115  0.4310  0.5415  0.48
Francois 1956   72  0.4882  0.0077  0.0478  0.0447  0.0684  0.05
Friedman 1923   87  0.4179  0.0082  0.0386  0.0359  0.0589  0.04
Friedman 1923b   86  0.4177  0.0080  0.0476  0.0453  0.0683  0.05
Friedman 1930   85  0.4367  0.0083  0.0383  0.0350  0.0687  0.04
Garcia 2007   37  0.5740  0.0035  0.0431  0.244  0.6026  0.38
Garcia 2007b   17  0.6311  0.0111  0.1112  0.453  0.6110  0.52
Gierzod 1998   10  0.6557  0.0025  0.1022  0.3634  0.3629  0.36
Gornostaeva 1994   33  0.5813  0.0144  0.0642  0.1516  0.5135  0.28
Groot 1988   62  0.5143  0.0051  0.0748  0.0736  0.1573  0.10
Harasiewicz 1955   13  0.648  0.013  0.203  0.6415  0.593  0.61
Hatto 1993   58  0.5261  0.0042  0.1039  0.2035  0.2244  0.21
Hatto 1997   49  0.5369  0.0031  0.0535  0.2333  0.2043  0.21
Horowitz 1949   84  0.4354  0.0087  0.0384  0.0355  0.0686  0.04
Indjic 1988   54  0.5370  0.0041  0.0638  0.2036  0.2242  0.21
Kapell 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kissin 1993   24  0.6159  0.0034  0.0534  0.2433  0.3734  0.30
Kushner 1989   4  0.6716  0.015  0.105  0.5720  0.554  0.56
Luisada 1991   52  0.5383  0.0061  0.0468  0.0463  0.0585  0.04
Lushtak 2004   38  0.5738  0.0029  0.0928  0.2718  0.4930  0.36
Malcuzynski 1961   28  0.592  0.0414  0.0924  0.335  0.6217  0.45
Magaloff 1978   68  0.5014  0.0178  0.0382  0.0374  0.0490  0.03
Magin 1975   23  0.6189  0.0037  0.0540  0.2040  0.2045  0.20
Michalowski 1933   79  0.4584  0.0068  0.0466  0.0431  0.2767  0.10
Milkina 1970   11  0.6433  0.0024  0.1020  0.3821  0.4920  0.43
Mohovich 1999   14  0.6317  0.0123  0.0927  0.3018  0.5425  0.40
Moravec 1969   39  0.5735  0.0030  0.0645  0.1116  0.5439  0.24
Morozova 2008   36  0.5725  0.0032  0.0432  0.2416  0.4433  0.32
Neighaus 1950   65  0.5173  0.0065  0.0463  0.0467  0.0488  0.04
Niedzielski 1931   64  0.5160  0.0058  0.0471  0.0430  0.2764  0.10
Ohlsson 1999   56  0.5229  0.0047  0.0747  0.0743  0.1366  0.10
Osinska 1989   6  0.667  0.0112  0.156  0.4922  0.5112  0.50
Pachmann 1927   77  0.4651  0.0081  0.0287  0.0211  0.4965  0.10
Paderewski 1930   75  0.4690  0.0075  0.0470  0.0423  0.3858  0.12
Perlemuter 1992   48  0.5339  0.0060  0.0381  0.0325  0.3463  0.10
Pierdomenico 2008   82  0.4423  0.0074  0.0559  0.0538  0.2561  0.11
Poblocka 1999   2  0.719  0.012  0.282  0.674  0.641  0.65
Rabcewiczowa 1932   8  0.6563  0.0016  0.0816  0.413  0.6213  0.50
Rachmaninoff 1923   59  0.5285  0.0049  0.0652  0.0650  0.0679  0.06
Rangell 2001   46  0.544  0.0253  0.0556  0.0512  0.5048  0.16
Richter 1976   45  0.5434  0.0048  0.0846  0.0812  0.5741  0.21
Rosen 1989   26  0.6180  0.0036  0.0441  0.1824  0.3537  0.25
Rosenthal 1930   50  0.5386  0.0071  0.0462  0.0422  0.4653  0.14
Rosenthal 1931   69  0.5031  0.0084  0.0385  0.0324  0.3368  0.10
Rosenthal 1931b   73  0.4748  0.0086  0.0477  0.0435  0.2574  0.10
Rosenthal 1931c   53  0.5353  0.0072  0.0558  0.0525  0.4055  0.14
Rosenthal 1931d   76  0.4674  0.0085  0.0288  0.0229  0.3578  0.08
Rossi 2007   83  0.4337  0.0076  0.0473  0.0427  0.3360  0.11
Rubinstein 1939   40  0.5655  0.0052  0.0554  0.0530  0.3357  0.13
Rubinstein 1952   22  0.6232  0.0027  0.0826  0.3014  0.5524  0.41
Rubinstein 1966   27  0.6012  0.0120  0.1019  0.3917  0.5119  0.45
Schilhawsky 1960   34  0.5846  0.0038  0.0530  0.2425  0.4432  0.32
Shebanova 2002   32  0.5841  0.0043  0.0643  0.1448  0.0675  0.09
Smith 1975   43  0.5449  0.0056  0.0460  0.0442  0.1677  0.08
Sokolov 2002   51  0.5364  0.0055  0.0464  0.0423  0.3359  0.11
Sztompka 1959   19  0.6378  0.006  0.139  0.4730  0.4816  0.47
Tomsic 1995   41  0.5544  0.0062  0.0461  0.0417  0.5152  0.14
Uninsky 1932   30  0.5945  0.0040  0.0533  0.2422  0.4631  0.33
Uninsky 1971   9  0.6536  0.0026  0.0821  0.3621  0.4922  0.42
Wasowski 1980   12  0.6418  0.0115  0.0814  0.435  0.6111  0.51
Zak 1937   15  0.6320  0.0019  0.1018  0.4017  0.4521  0.42
Zak 1951   16  0.6375  0.0018  0.0917  0.4022  0.4323  0.41
Average   1  0.761  0.701  0.701  0.8622  0.462  0.63
Random 1   89  -0.0365  0.0089  0.0290  0.024  0.5071  0.10
Random 2   91  -0.0891  0.0091  0.0191  0.0181  0.0291  0.01
Random 3   90  -0.0787  0.0090  0.0289  0.025  0.4872  0.10

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).