Niedzielski 1931

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.6365  0.0018  0.0714  0.4183  0.0335  0.11
Anderszewski 2003   32  0.5435  0.0034  0.0537  0.1480  0.0348  0.06
Ashkenazy 1981   58  0.456  0.0222  0.0727  0.2843  0.1024  0.17
Bacha 2000   46  0.5083  0.0024  0.0829  0.2540  0.1615  0.20
Badura 1965   81  0.3962  0.0081  0.0386  0.0369  0.0480  0.03
Barbosa 1983   72  0.4022  0.0180  0.0461  0.0455  0.0653  0.05
Biret 1990   28  0.5521  0.0136  0.0534  0.1759  0.0537  0.09
Blet 2003   33  0.5450  0.0064  0.0376  0.0370  0.0375  0.03
Block 1995   51  0.4845  0.0028  0.0736  0.1542  0.1032  0.12
Blumental 1952   75  0.4038  0.0049  0.0452  0.0432  0.1642  0.08
Boshniakovich 1969   37  0.5332  0.0058  0.0372  0.0369  0.0483  0.03
Brailowsky 1960   41  0.5273  0.0056  0.0366  0.0362  0.0554  0.04
Bunin 1987   74  0.4064  0.0083  0.0457  0.0470  0.0464  0.04
Bunin 1987b   78  0.3970  0.0082  0.0459  0.0470  0.0460  0.04
Chiu 1999   77  0.3957  0.0063  0.0364  0.0357  0.0468  0.03
Cohen 1997   87  0.1780  0.0087  0.0455  0.0472  0.0385  0.03
Cortot 1951   14  0.605  0.0220  0.0719  0.3421  0.338  0.33
Csalog 1996   49  0.5071  0.0054  0.0447  0.0438  0.1541  0.08
Czerny 1949   3  0.6624  0.0113  0.0912  0.4533  0.2110  0.31
Czerny 1990   1  0.703  0.104  0.212  0.5929  0.217  0.35
Duchoud 2007   54  0.4715  0.0172  0.0458  0.0474  0.0378  0.03
Ezaki 2006   29  0.5551  0.0044  0.0444  0.0880  0.0351  0.05
Falvay 1989   63  0.4386  0.0079  0.0368  0.0355  0.0656  0.04
Farrell 1958   15  0.6018  0.0116  0.0818  0.3539  0.1216  0.20
Ferenczy 1958   35  0.5443  0.0053  0.0545  0.0558  0.0462  0.04
Fliere 1977   5  0.6627  0.0015  0.098  0.4672  0.0331  0.12
Fou 1978   84  0.3584  0.0074  0.0369  0.0381  0.0470  0.03
Francois 1956   9  0.638  0.0214  0.0824  0.2933  0.2214  0.25
Friedman 1923   83  0.3755  0.0042  0.0542  0.1137  0.2127  0.15
Friedman 1923b   80  0.3940  0.0040  0.0539  0.1430  0.2718  0.19
Friedman 1930   60  0.4426  0.0141  0.0440  0.1237  0.1826  0.15
Garcia 2007   45  0.5123  0.016  0.1216  0.3616  0.415  0.38
Garcia 2007b   86  0.3387  0.0032  0.0638  0.1420  0.2222  0.18
Gierzod 1998   4  0.662  0.232  0.234  0.5527  0.304  0.41
Gornostaeva 1994   23  0.5777  0.0071  0.0365  0.0381  0.0386  0.03
Groot 1988   40  0.5344  0.0065  0.0453  0.0464  0.0465  0.04
Harasiewicz 1955   67  0.4247  0.0046  0.0451  0.0482  0.0388  0.03
Hatto 1993   70  0.4152  0.0030  0.0826  0.2837  0.1319  0.19
Hatto 1997   59  0.4412  0.0131  0.0928  0.2540  0.1123  0.17
Horowitz 1949   27  0.5610  0.0127  0.1017  0.3527  0.376  0.36
Indjic 1988   61  0.4441  0.0029  0.0623  0.2936  0.1417  0.20
Kapell 1951   7  0.6433  0.008  0.097  0.4758  0.0428  0.14
Kissin 1993   38  0.5356  0.0021  0.0721  0.3043  0.1121  0.18
Kushner 1989   19  0.5879  0.0045  0.0546  0.0573  0.0359  0.04
Luisada 1991   36  0.5417  0.0112  0.0725  0.2841  0.1120  0.18
Lushtak 2004   66  0.4239  0.0062  0.0381  0.0376  0.0381  0.03
Malcuzynski 1961   21  0.5866  0.0047  0.0450  0.0458  0.0461  0.04
Magaloff 1978   30  0.5528  0.0037  0.0441  0.1147  0.0736  0.09
Magin 1975   44  0.5111  0.0126  0.1022  0.3058  0.0433  0.11
Michalowski 1933   71  0.4163  0.0061  0.0385  0.0351  0.0752  0.05
Milkina 1970   24  0.5790  0.0035  0.0535  0.1579  0.0439  0.08
Mohovich 1999   34  0.5468  0.0051  0.0449  0.0486  0.0384  0.03
Moravec 1969   2  0.674  0.073  0.181  0.612  0.631  0.62
Morozova 2008   65  0.4374  0.0052  0.0454  0.0480  0.0377  0.03
Neighaus 1950   17  0.597  0.0211  0.0715  0.4076  0.0430  0.13
Niedzielski 1931   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ohlsson 1999   20  0.5830  0.0023  0.0730  0.2476  0.0340  0.08
Osinska 1989   12  0.6085  0.0039  0.0732  0.1771  0.0438  0.08
Pachmann 1927   82  0.3837  0.0086  0.0380  0.0377  0.0373  0.03
Paderewski 1930   42  0.5288  0.0066  0.0370  0.0354  0.0472  0.03
Perlemuter 1992   53  0.4846  0.0033  0.0533  0.1778  0.0343  0.07
Pierdomenico 2008   69  0.4125  0.0173  0.0462  0.0444  0.1047  0.06
Poblocka 1999   11  0.6149  0.0019  0.099  0.4564  0.0429  0.13
Rabcewiczowa 1932   47  0.5081  0.0067  0.0377  0.0375  0.0369  0.03
Rachmaninoff 1923   16  0.599  0.029  0.0911  0.4528  0.219  0.31
Rangell 2001   79  0.3961  0.0084  0.0375  0.0371  0.0387  0.03
Richter 1976   56  0.4613  0.0148  0.0448  0.0442  0.1244  0.07
Rosen 1989   50  0.5069  0.0069  0.0387  0.0360  0.0482  0.03
Rosenthal 1930   43  0.5176  0.0070  0.0371  0.0363  0.0479  0.03
Rosenthal 1931   64  0.4358  0.0060  0.0383  0.0374  0.0374  0.03
Rosenthal 1931b   62  0.4478  0.0057  0.0460  0.0441  0.0850  0.06
Rosenthal 1931c   48  0.5053  0.0059  0.0382  0.0358  0.0489  0.03
Rosenthal 1931d   52  0.4859  0.0055  0.0363  0.0338  0.1449  0.06
Rossi 2007   85  0.3336  0.0076  0.0379  0.0351  0.0655  0.04
Rubinstein 1939   76  0.4020  0.0177  0.0384  0.0352  0.0558  0.04
Rubinstein 1952   68  0.4148  0.0075  0.0374  0.0363  0.0566  0.04
Rubinstein 1966   57  0.4567  0.0078  0.0367  0.0370  0.0476  0.03
Schilhawsky 1960   6  0.651  0.281  0.283  0.5918  0.442  0.51
Shebanova 2002   18  0.5814  0.0117  0.0713  0.4236  0.1712  0.27
Smith 1975   39  0.5354  0.0050  0.0456  0.0455  0.0557  0.04
Sokolov 2002   55  0.4772  0.0068  0.0373  0.0382  0.0367  0.03
Sztompka 1959   31  0.5531  0.0038  0.0531  0.2152  0.0634  0.11
Tomsic 1995   73  0.4034  0.0085  0.0378  0.0382  0.0371  0.03
Uninsky 1932   22  0.5829  0.0025  0.0920  0.3036  0.2113  0.25
Uninsky 1971   26  0.5682  0.0043  0.0443  0.0857  0.0645  0.07
Wasowski 1980   8  0.6419  0.015  0.175  0.504  0.443  0.47
Zak 1937   13  0.6016  0.017  0.146  0.5036  0.1811  0.30
Zak 1951   25  0.5642  0.0010  0.1110  0.4554  0.0625  0.16
Random 1   88  -0.1075  0.0089  0.0289  0.0231  0.2646  0.07
Random 2   89  -0.1060  0.0088  0.0288  0.0242  0.0963  0.04
Random 3   90  -0.1489  0.0090  0.0190  0.0190  0.0190  0.01

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).