Niedzielski 1931

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   27  0.4989  0.0076  0.0274  0.0269  0.0385  0.02
Anderszewski 2003   42  0.4445  0.009  0.0917  0.2851  0.0420  0.11
Ashkenazy 1981   59  0.3737  0.0015  0.0620  0.2773  0.0327  0.09
Bacha 2000   33  0.4773  0.0031  0.0631  0.1866  0.0429  0.08
Badura 1965   73  0.2664  0.0082  0.0283  0.0282  0.0286  0.02
Barbosa 1983   67  0.3426  0.0181  0.0285  0.0267  0.0467  0.03
Biret 1990   10  0.5620  0.0134  0.0429  0.2169  0.0335  0.08
Blet 2003   49  0.4234  0.0175  0.0367  0.0382  0.0368  0.03
Block 1995   40  0.456  0.0421  0.0822  0.2656  0.0424  0.10
Blumental 1952   80  0.215  0.0412  0.0738  0.1657  0.0434  0.08
Boshniakovich 1969   45  0.4323  0.0149  0.0461  0.0485  0.0272  0.03
Brailowsky 1960   41  0.4536  0.0132  0.0421  0.2655  0.0518  0.11
Bunin 1987   63  0.3750  0.0072  0.0271  0.0271  0.0389  0.02
Bunin 1987b   61  0.3771  0.0073  0.0363  0.0371  0.0361  0.03
Chiu 1999   70  0.2743  0.0053  0.0455  0.0463  0.0448  0.04
Cohen 1997   85  0.0966  0.0069  0.0275  0.0288  0.0288  0.02
Cortot 1951   35  0.477  0.0316  0.0618  0.2751  0.0613  0.13
Csalog 1996   20  0.5384  0.0025  0.0835  0.1738  0.226  0.19
Czerny 1949   23  0.5228  0.0150  0.0457  0.0458  0.0551  0.04
Czerny 1990   9  0.5716  0.0129  0.0628  0.2246  0.0525  0.10
Duchoud 2007   15  0.5557  0.0030  0.0526  0.2370  0.0333  0.08
Ezaki 2006   51  0.4190  0.0063  0.0458  0.0487  0.0259  0.03
Falvay 1989   32  0.4822  0.0113  0.0612  0.3670  0.0414  0.12
Farrell 1958   3  0.6048  0.0022  0.0713  0.3658  0.0415  0.12
Ferenczy 1958   55  0.4039  0.0067  0.0278  0.0274  0.0384  0.02
Fliere 1977   13  0.5585  0.0052  0.0453  0.0486  0.0360  0.03
Fou 1978   81  0.2054  0.0079  0.0272  0.0280  0.0379  0.02
Francois 1956   2  0.618  0.0211  0.0727  0.2258  0.0428  0.09
Friedman 1923   89  0.0044  0.0088  0.0289  0.0263  0.0576  0.03
Friedman 1923b   87  0.0310  0.0287  0.0282  0.0258  0.0573  0.03
Friedman 1930   84  0.1332  0.0178  0.0280  0.0261  0.0569  0.03
Garcia 2007   66  0.343  0.065  0.0914  0.3512  0.403  0.37
Garcia 2007b   88  0.0277  0.0035  0.0542  0.1063  0.0347  0.05
Gierzod 1998   8  0.5815  0.0110  0.0811  0.3757  0.0417  0.12
Gornostaeva 1994   22  0.5386  0.0080  0.0277  0.0289  0.0290  0.02
Groot 1988   12  0.5587  0.0051  0.0365  0.0385  0.0375  0.03
Harasiewicz 1955   79  0.2156  0.0033  0.0530  0.1982  0.0336  0.08
Hatto 1993   82  0.1938  0.0037  0.0534  0.1766  0.0341  0.07
Hatto 1997   77  0.2317  0.0143  0.0441  0.1270  0.0344  0.06
Horowitz 1949   11  0.569  0.024  0.102  0.5331  0.214  0.33
Indjic 1988   78  0.2212  0.0238  0.0532  0.1759  0.0339  0.07
Kapell 1951   4  0.6024  0.0123  0.0810  0.3956  0.0416  0.12
Kissin 1993   62  0.3774  0.0056  0.0454  0.0475  0.0365  0.03
Kushner 1989   24  0.5158  0.0040  0.0440  0.1263  0.0437  0.07
Luisada 1991   54  0.4135  0.0120  0.0725  0.2460  0.0421  0.10
Lushtak 2004   71  0.2772  0.0046  0.0451  0.0488  0.0271  0.03
Malcuzynski 1961   14  0.5540  0.0047  0.0362  0.0383  0.0362  0.03
Magaloff 1978   21  0.5361  0.0041  0.0543  0.1076  0.0346  0.05
Magin 1975   65  0.3525  0.0117  0.0519  0.2767  0.0326  0.09
Michalowski 1933   76  0.2360  0.0045  0.0445  0.0850  0.0638  0.07
Milkina 1970   19  0.5470  0.0036  0.0536  0.1663  0.0431  0.08
Mohovich 1999   25  0.5153  0.0057  0.0548  0.0580  0.0353  0.04
Moravec 1969   1  0.691  0.301  0.301  0.618  0.511  0.56
Morozova 2008   72  0.2649  0.0039  0.0533  0.1787  0.0243  0.06
Neighaus 1950   34  0.4721  0.0154  0.0550  0.0561  0.0455  0.04
Niedzielski 1931   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ohlsson 1999   5  0.5942  0.0024  0.089  0.3965  0.0319  0.11
Osinska 1989   29  0.4978  0.0070  0.0366  0.0384  0.0277  0.02
Pachmann 1927   74  0.2529  0.0184  0.0288  0.0283  0.0381  0.02
Paderewski 1930   44  0.4318  0.0177  0.0281  0.0272  0.0280  0.02
Perlemuter 1992   64  0.3662  0.0026  0.0724  0.2486  0.0330  0.08
Pierdomenico 2008   48  0.4263  0.0028  0.0637  0.1644  0.1011  0.13
Poblocka 1999   18  0.5467  0.0027  0.0715  0.3348  0.0510  0.13
Rabcewiczowa 1932   52  0.4180  0.0083  0.0286  0.0283  0.0278  0.02
Rachmaninoff 1923   30  0.494  0.043  0.108  0.4139  0.115  0.21
Rangell 2001   28  0.4983  0.0064  0.0460  0.0475  0.0374  0.03
Richter 1976   46  0.4355  0.0018  0.0616  0.3167  0.0323  0.10
Rosen 1989   60  0.3747  0.0086  0.0279  0.0289  0.0287  0.02
Rosenthal 1930   36  0.4665  0.0065  0.0452  0.0469  0.0370  0.03
Rosenthal 1931   69  0.3288  0.0068  0.0276  0.0274  0.0382  0.02
Rosenthal 1931b   68  0.3381  0.0060  0.0547  0.0565  0.0456  0.04
Rosenthal 1931c   37  0.4676  0.0059  0.0549  0.0580  0.0357  0.04
Rosenthal 1931d   43  0.4379  0.0055  0.0459  0.0447  0.0554  0.04
Rossi 2007   83  0.1327  0.0148  0.0368  0.0343  0.0845  0.05
Rubinstein 1939   75  0.2533  0.0144  0.0444  0.0869  0.0442  0.06
Rubinstein 1952   38  0.4569  0.0066  0.0369  0.0359  0.0558  0.04
Rubinstein 1966   58  0.3846  0.0085  0.0287  0.0280  0.0383  0.02
Schilhawsky 1960   16  0.542  0.082  0.164  0.5148  0.067  0.17
Shebanova 2002   39  0.4541  0.0042  0.0439  0.1256  0.0532  0.08
Smith 1975   50  0.4252  0.0058  0.0546  0.0572  0.0349  0.04
Sokolov 2002   26  0.5159  0.0019  0.0623  0.2556  0.0422  0.10
Sztompka 1959   57  0.3813  0.0171  0.0273  0.0268  0.0464  0.03
Tomsic 1995   53  0.4175  0.0062  0.0364  0.0365  0.0463  0.03
Uninsky 1932   56  0.3919  0.0161  0.0456  0.0466  0.0450  0.04
Uninsky 1971   47  0.4268  0.0074  0.0370  0.0377  0.0366  0.03
Wasowski 1980   7  0.5811  0.028  0.113  0.5312  0.342  0.42
Zak 1937   17  0.5430  0.016  0.085  0.5054  0.058  0.16
Zak 1951   31  0.4891  0.007  0.086  0.4557  0.059  0.15
Average   6  0.5914  0.0114  0.077  0.4159  0.0412  0.13
Random 1   90  -0.0182  0.0090  0.0190  0.0133  0.1952  0.04
Random 2   86  0.0631  0.0189  0.0284  0.0222  0.2640  0.07
Random 3   91  -0.0651  0.0091  0.0191  0.0180  0.0291  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).