Niedzielski 1931

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   11  0.6374  0.0019  0.0715  0.4184  0.0336  0.11
Anderszewski 2003   33  0.5434  0.0035  0.0538  0.1481  0.0348  0.06
Ashkenazy 1981   59  0.457  0.0223  0.0728  0.2844  0.1024  0.17
Bacha 2000   47  0.5084  0.0025  0.0830  0.2541  0.1615  0.20
Badura 1965   82  0.3962  0.0082  0.0387  0.0370  0.0480  0.03
Barbosa 1983   73  0.4023  0.0181  0.0362  0.0356  0.0661  0.04
Biret 1990   29  0.5520  0.0137  0.0535  0.1760  0.0538  0.09
Blet 2003   34  0.5451  0.0065  0.0377  0.0371  0.0375  0.03
Block 1995   52  0.4846  0.0029  0.0737  0.1543  0.1033  0.12
Blumental 1952   76  0.4038  0.0050  0.0453  0.0433  0.1643  0.08
Boshniakovich 1969   38  0.5331  0.0059  0.0373  0.0370  0.0483  0.03
Brailowsky 1960   42  0.5271  0.0057  0.0367  0.0363  0.0466  0.03
Bunin 1987   75  0.4064  0.0084  0.0458  0.0471  0.0464  0.04
Bunin 1987b   79  0.3967  0.0083  0.0460  0.0471  0.0459  0.04
Chiu 1999   78  0.3958  0.0064  0.0365  0.0358  0.0468  0.03
Cohen 1997   88  0.1781  0.0088  0.0456  0.0473  0.0385  0.03
Cortot 1951   15  0.606  0.0221  0.0720  0.3422  0.338  0.33
Csalog 1996   50  0.5069  0.0055  0.0448  0.0439  0.1542  0.08
Czerny 1949   4  0.6625  0.0014  0.0913  0.4534  0.2110  0.31
Czerny 1990   1  0.704  0.075  0.212  0.5930  0.217  0.35
Duchoud 2007   55  0.4716  0.0173  0.0459  0.0475  0.0378  0.03
Ezaki 2006   30  0.5565  0.0045  0.0445  0.0881  0.0351  0.05
Falvay 1989   64  0.4390  0.0080  0.0369  0.0356  0.0655  0.04
Farrell 1958   16  0.6018  0.0117  0.0819  0.3540  0.1216  0.20
Ferenczy 1958   36  0.5443  0.0054  0.0546  0.0559  0.0462  0.04
Fliere 1977   6  0.6626  0.0016  0.099  0.4673  0.0332  0.12
Fou 1978   85  0.3585  0.0075  0.0370  0.0382  0.0370  0.03
Francois 1956   10  0.639  0.0215  0.0825  0.2934  0.2214  0.25
Friedman 1923   84  0.3754  0.0043  0.0543  0.1138  0.2128  0.15
Friedman 1923b   81  0.3941  0.0041  0.0540  0.1431  0.2718  0.19
Friedman 1930   61  0.4440  0.0042  0.0441  0.1238  0.1827  0.15
Garcia 2007   46  0.5122  0.017  0.1217  0.3617  0.415  0.38
Garcia 2007b   87  0.3387  0.0033  0.0539  0.1421  0.2222  0.18
Gierzod 1998   5  0.662  0.182  0.195  0.5528  0.304  0.41
Gornostaeva 1994   24  0.5780  0.0072  0.0366  0.0382  0.0386  0.03
Groot 1988   41  0.5345  0.0066  0.0454  0.0465  0.0465  0.04
Harasiewicz 1955   68  0.4248  0.0047  0.0452  0.0483  0.0388  0.03
Hatto 1993   71  0.4152  0.0031  0.0827  0.2838  0.1319  0.19
Hatto 1997   60  0.4413  0.0132  0.0829  0.2541  0.1123  0.17
Horowitz 1949   28  0.5612  0.0128  0.0918  0.3528  0.376  0.36
Indjic 1988   62  0.4442  0.0030  0.0624  0.2937  0.1417  0.20
Kapell 1951   8  0.6432  0.009  0.098  0.4759  0.0429  0.14
Kissin 1993   39  0.5355  0.0022  0.0722  0.3044  0.1121  0.18
Kushner 1989   20  0.5879  0.0046  0.0547  0.0574  0.0358  0.04
Luisada 1991   37  0.5417  0.0113  0.0726  0.2842  0.1120  0.18
Lushtak 2004   67  0.4239  0.0063  0.0382  0.0377  0.0381  0.03
Malcuzynski 1961   22  0.5875  0.0048  0.0451  0.0459  0.0460  0.04
Magaloff 1978   31  0.5527  0.0038  0.0442  0.1148  0.0737  0.09
Magin 1975   45  0.5111  0.0127  0.1023  0.3059  0.0434  0.11
Michalowski 1933   72  0.4163  0.0062  0.0386  0.0352  0.0753  0.05
Milkina 1970   25  0.5791  0.0036  0.0536  0.1580  0.0440  0.08
Mohovich 1999   35  0.5466  0.0052  0.0450  0.0487  0.0384  0.03
Moravec 1969   3  0.675  0.074  0.181  0.612  0.631  0.62
Morozova 2008   66  0.4377  0.0053  0.0455  0.0481  0.0377  0.03
Neighaus 1950   18  0.598  0.0212  0.0716  0.4077  0.0431  0.13
Niedzielski 1931   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ohlsson 1999   21  0.5830  0.0024  0.0731  0.2477  0.0341  0.08
Osinska 1989   13  0.6086  0.0040  0.0733  0.1772  0.0439  0.08
Pachmann 1927   83  0.3837  0.0087  0.0381  0.0378  0.0373  0.03
Paderewski 1930   43  0.5288  0.0067  0.0371  0.0355  0.0472  0.03
Perlemuter 1992   54  0.4847  0.0034  0.0534  0.1779  0.0344  0.07
Pierdomenico 2008   70  0.4124  0.0174  0.0363  0.0345  0.1052  0.05
Poblocka 1999   12  0.6150  0.0020  0.0910  0.4565  0.0430  0.13
Rabcewiczowa 1932   48  0.5083  0.0068  0.0378  0.0376  0.0369  0.03
Rachmaninoff 1923   17  0.5910  0.0210  0.0912  0.4529  0.219  0.31
Rangell 2001   80  0.3961  0.0085  0.0376  0.0372  0.0387  0.03
Richter 1976   57  0.4614  0.0149  0.0449  0.0443  0.1245  0.07
Rosen 1989   51  0.5070  0.0070  0.0388  0.0361  0.0482  0.03
Rosenthal 1930   44  0.5176  0.0071  0.0372  0.0364  0.0479  0.03
Rosenthal 1931   65  0.4357  0.0061  0.0384  0.0375  0.0374  0.03
Rosenthal 1931b   63  0.4478  0.0058  0.0461  0.0442  0.0850  0.06
Rosenthal 1931c   49  0.5056  0.0060  0.0383  0.0359  0.0489  0.03
Rosenthal 1931d   53  0.4859  0.0056  0.0364  0.0339  0.1449  0.06
Rossi 2007   86  0.3336  0.0077  0.0380  0.0352  0.0654  0.04
Rubinstein 1939   77  0.4019  0.0178  0.0385  0.0353  0.0557  0.04
Rubinstein 1952   69  0.4149  0.0076  0.0375  0.0364  0.0490  0.03
Rubinstein 1966   58  0.4568  0.0079  0.0368  0.0371  0.0476  0.03
Schilhawsky 1960   7  0.651  0.271  0.273  0.5919  0.442  0.51
Shebanova 2002   19  0.5815  0.0118  0.0714  0.4237  0.1712  0.27
Smith 1975   40  0.5353  0.0051  0.0457  0.0456  0.0556  0.04
Sokolov 2002   56  0.4772  0.0069  0.0374  0.0383  0.0367  0.03
Sztompka 1959   32  0.5535  0.0039  0.0532  0.2153  0.0635  0.11
Tomsic 1995   74  0.4033  0.0086  0.0379  0.0383  0.0371  0.03
Uninsky 1932   23  0.5829  0.0026  0.0921  0.3037  0.2113  0.25
Uninsky 1971   27  0.5682  0.0044  0.0444  0.0858  0.0646  0.07
Wasowski 1980   9  0.6428  0.006  0.166  0.505  0.443  0.47
Zak 1937   14  0.6021  0.018  0.147  0.5037  0.1811  0.30
Zak 1951   26  0.5644  0.0011  0.1111  0.4555  0.0625  0.16
Average   2  0.693  0.113  0.214  0.5863  0.0426  0.15
Random 1   89  -0.1073  0.0090  0.0290  0.0233  0.2647  0.07
Random 2   90  -0.1060  0.0089  0.0289  0.0243  0.0963  0.04
Random 3   91  -0.1489  0.0091  0.0191  0.0191  0.0191  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).