Kapell 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   82  0.2753  0.0084  0.0288  0.0273  0.0389  0.02
Anderszewski 2003   5  0.6311  0.014  0.187  0.717  0.666  0.68
Ashkenazy 1981   80  0.2876  0.0082  0.0472  0.0474  0.0385  0.03
Bacha 2000   65  0.3773  0.0055  0.0565  0.0534  0.2554  0.11
Badura 1965   74  0.3479  0.0066  0.0660  0.0646  0.0767  0.06
Barbosa 1983   11  0.5921  0.0010  0.128  0.6712  0.638  0.65
Biret 1990   48  0.4448  0.0057  0.0652  0.0653  0.0572  0.05
Blet 2003   66  0.3758  0.0068  0.0564  0.0553  0.0570  0.05
Block 1995   37  0.494  0.0319  0.0930  0.4117  0.4929  0.45
Blumental 1952   40  0.4780  0.0049  0.0656  0.0640  0.1755  0.10
Boshniakovich 1969   39  0.4943  0.0037  0.1236  0.3542  0.1344  0.21
Brailowsky 1960   57  0.4163  0.0065  0.0659  0.0657  0.0663  0.06
Bunin 1987   45  0.4546  0.0062  0.1046  0.1028  0.2651  0.16
Bunin 1987b   41  0.4765  0.0051  0.0847  0.0817  0.4247  0.18
Chiu 1999   51  0.4344  0.0041  0.0843  0.1519  0.3542  0.23
Cohen 1997   75  0.335  0.0369  0.0468  0.0440  0.1068  0.06
Cortot 1951   79  0.3269  0.0038  0.0841  0.2015  0.5038  0.32
Csalog 1996   25  0.5415  0.0113  0.1621  0.5310  0.5422  0.53
Czerny 1949   17  0.583  0.143  0.2312  0.6019  0.6511  0.62
Czerny 1990   3  0.6312  0.018  0.163  0.756  0.781  0.76
Duchoud 2007   72  0.3560  0.0067  0.0654  0.0625  0.4450  0.16
Ezaki 2006   8  0.6213  0.016  0.182  0.752  0.722  0.73
Falvay 1989   13  0.5827  0.0025  0.0814  0.5926  0.5020  0.54
Farrell 1958   30  0.5116  0.0117  0.1519  0.557  0.6712  0.61
Ferenczy 1958   67  0.3681  0.0070  0.0377  0.0368  0.0483  0.03
Fliere 1977   24  0.5554  0.0028  0.1324  0.5034  0.3531  0.42
Fou 1978   23  0.5517  0.0122  0.0823  0.5111  0.5025  0.50
Francois 1956   76  0.3377  0.0072  0.0381  0.0349  0.0678  0.04
Friedman 1923   86  0.1982  0.0087  0.0283  0.0287  0.0391  0.02
Friedman 1923b   85  0.2083  0.0086  0.0286  0.0289  0.0290  0.02
Friedman 1930   84  0.2049  0.0083  0.0284  0.0272  0.0482  0.03
Garcia 2007   44  0.4635  0.0034  0.1432  0.388  0.6326  0.49
Garcia 2007b   28  0.5333  0.0021  0.1122  0.525  0.6714  0.59
Gierzod 1998   16  0.5838  0.0027  0.1018  0.5640  0.2335  0.36
Gornostaeva 1994   21  0.567  0.0220  0.1020  0.555  0.6313  0.59
Groot 1988   56  0.4264  0.0052  0.0567  0.0558  0.0573  0.05
Harasiewicz 1955   10  0.5910  0.0118  0.1817  0.5722  0.5518  0.56
Hatto 1993   50  0.4355  0.0054  0.0566  0.0555  0.0574  0.05
Hatto 1997   46  0.4584  0.0050  0.0848  0.0846  0.0760  0.07
Horowitz 1949   87  0.1866  0.0088  0.0287  0.0284  0.0387  0.02
Indjic 1988   49  0.4470  0.0053  0.0469  0.0451  0.0576  0.04
Kapell 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kissin 1993   31  0.5150  0.0036  0.1037  0.3027  0.4734  0.38
Kushner 1989   9  0.606  0.035  0.2011  0.6114  0.5516  0.58
Luisada 1991   63  0.3885  0.0076  0.0375  0.0369  0.0479  0.03
Lushtak 2004   29  0.5240  0.0032  0.1428  0.4627  0.4230  0.44
Malcuzynski 1961   4  0.632  0.152  0.284  0.733  0.704  0.71
Magaloff 1978   43  0.4720  0.0158  0.0751  0.0748  0.0758  0.07
Magin 1975   36  0.4967  0.0039  0.0738  0.2535  0.2243  0.23
Michalowski 1933   88  0.1568  0.0085  0.0285  0.0246  0.0581  0.03
Milkina 1970   18  0.5731  0.0016  0.1215  0.5820  0.4821  0.53
Mohovich 1999   22  0.568  0.0123  0.0834  0.3731  0.3536  0.36
Moravec 1969   19  0.5722  0.0029  0.1229  0.4312  0.5127  0.47
Morozova 2008   34  0.5151  0.0030  0.1226  0.4913  0.5524  0.52
Neighaus 1950   78  0.3286  0.0081  0.0374  0.0369  0.0486  0.03
Niedzielski 1931   81  0.2852  0.0077  0.0376  0.0339  0.1366  0.06
Ohlsson 1999   61  0.4023  0.0059  0.0657  0.0668  0.0469  0.05
Osinska 1989   14  0.5861  0.0015  0.1613  0.6023  0.5517  0.57
Pachmann 1927   53  0.4356  0.0047  0.0655  0.062  0.6645  0.20
Paderewski 1930   83  0.2387  0.0071  0.0382  0.0366  0.0480  0.03
Perlemuter 1992   68  0.3628  0.0078  0.0380  0.0350  0.0675  0.04
Pierdomenico 2008   64  0.3842  0.0043  0.0642  0.1710  0.5539  0.31
Poblocka 1999   6  0.6326  0.009  0.155  0.722  0.743  0.73
Rabcewiczowa 1932   20  0.5747  0.0014  0.1316  0.582  0.5915  0.58
Rachmaninoff 1923   62  0.3871  0.0060  0.0658  0.0646  0.0764  0.06
Rangell 2001   42  0.4718  0.0146  0.0749  0.0726  0.3949  0.17
Richter 1976   15  0.5825  0.0011  0.1310  0.653  0.725  0.68
Rosen 1989   47  0.4574  0.0056  0.0562  0.0547  0.0671  0.05
Rosenthal 1930   70  0.3688  0.0074  0.0471  0.0438  0.2257  0.09
Rosenthal 1931   69  0.3645  0.0075  0.0470  0.0442  0.1259  0.07
Rosenthal 1931b   77  0.3272  0.0080  0.0473  0.0448  0.0577  0.04
Rosenthal 1931c   59  0.4039  0.0063  0.0750  0.0731  0.2452  0.13
Rosenthal 1931d   71  0.3578  0.0073  0.0378  0.0340  0.1762  0.07
Rossi 2007   52  0.4334  0.0045  0.0645  0.117  0.5440  0.24
Rubinstein 1939   27  0.5341  0.0031  0.1425  0.5012  0.5423  0.52
Rubinstein 1952   7  0.6330  0.0012  0.159  0.6711  0.629  0.64
Rubinstein 1966   2  0.6419  0.017  0.156  0.7111  0.667  0.68
Schilhawsky 1960   55  0.4362  0.0044  0.0744  0.1536  0.2646  0.20
Shebanova 2002   73  0.3559  0.0079  0.0379  0.0371  0.0484  0.03
Smith 1975   60  0.4037  0.0064  0.0563  0.0547  0.0865  0.06
Sokolov 2002   58  0.4129  0.0061  0.0653  0.0637  0.2653  0.12
Sztompka 1959   38  0.4975  0.0042  0.0840  0.2021  0.5337  0.33
Tomsic 1995   12  0.589  0.0124  0.1027  0.485  0.6319  0.55
Uninsky 1932   54  0.4336  0.0048  0.0661  0.0625  0.4948  0.17
Uninsky 1971   33  0.5132  0.0040  0.0739  0.2037  0.3041  0.24
Wasowski 1980   26  0.5414  0.0133  0.1331  0.4119  0.4928  0.45
Zak 1937   35  0.5024  0.0035  0.1335  0.3625  0.4133  0.38
Zak 1951   32  0.5157  0.0026  0.0933  0.3825  0.4032  0.39
Average   1  0.711  0.431  0.431  0.8324  0.4710  0.62
Random 1   89  0.0489  0.0090  0.0289  0.023  0.5456  0.10
Random 2   90  0.0090  0.0091  0.0191  0.0166  0.0388  0.02
Random 3   91  -0.0191  0.0089  0.0190  0.013  0.5461  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).