Niedzielski 1931

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   26  0.4978  0.0075  0.0273  0.0268  0.0385  0.02
Anderszewski 2003   41  0.4444  0.009  0.1016  0.2850  0.0419  0.11
Ashkenazy 1981   58  0.3736  0.0014  0.0619  0.2772  0.0326  0.09
Bacha 2000   32  0.4772  0.0030  0.0630  0.1865  0.0428  0.08
Badura 1965   72  0.2664  0.0081  0.0282  0.0281  0.0286  0.02
Barbosa 1983   66  0.3425  0.0180  0.0284  0.0266  0.0466  0.03
Biret 1990   9  0.5620  0.0133  0.0428  0.2168  0.0334  0.08
Blet 2003   48  0.4232  0.0174  0.0366  0.0381  0.0367  0.03
Block 1995   39  0.456  0.0420  0.0821  0.2655  0.0424  0.10
Blumental 1952   79  0.215  0.0413  0.0737  0.1656  0.0433  0.08
Boshniakovich 1969   44  0.4322  0.0148  0.0460  0.0484  0.0271  0.03
Brailowsky 1960   40  0.4535  0.0131  0.0520  0.2654  0.0517  0.11
Bunin 1987   62  0.3749  0.0071  0.0370  0.0370  0.0472  0.03
Bunin 1987b   60  0.3770  0.0072  0.0362  0.0370  0.0360  0.03
Chiu 1999   69  0.2742  0.0052  0.0454  0.0462  0.0448  0.04
Cohen 1997   84  0.0967  0.0068  0.0274  0.0287  0.0288  0.02
Cortot 1951   34  0.477  0.0315  0.0617  0.2750  0.0612  0.13
Csalog 1996   19  0.5384  0.0024  0.0834  0.1737  0.226  0.19
Czerny 1949   22  0.5227  0.0149  0.0456  0.0457  0.0551  0.04
Czerny 1990   8  0.5716  0.0128  0.0627  0.2245  0.0620  0.11
Duchoud 2007   14  0.5557  0.0029  0.0525  0.2369  0.0332  0.08
Ezaki 2006   50  0.4189  0.0062  0.0457  0.0486  0.0258  0.03
Falvay 1989   31  0.4814  0.0110  0.0811  0.3669  0.0413  0.12
Farrell 1958   3  0.6047  0.0021  0.0712  0.3657  0.0414  0.12
Ferenczy 1958   54  0.4040  0.0066  0.0277  0.0273  0.0384  0.02
Fliere 1977   12  0.5585  0.0051  0.0452  0.0485  0.0359  0.03
Fou 1978   80  0.2053  0.0078  0.0271  0.0279  0.0379  0.02
Francois 1956   2  0.618  0.0212  0.0826  0.2257  0.0427  0.09
Friedman 1923   88  0.0043  0.0087  0.0288  0.0262  0.0576  0.03
Friedman 1923b   86  0.0310  0.0286  0.0281  0.0257  0.0573  0.03
Friedman 1930   83  0.1330  0.0177  0.0279  0.0260  0.0568  0.03
Garcia 2007   65  0.343  0.065  0.0913  0.3511  0.403  0.37
Garcia 2007b   87  0.0276  0.0034  0.0541  0.1062  0.0347  0.05
Gierzod 1998   7  0.5815  0.0111  0.0910  0.3756  0.0416  0.12
Gornostaeva 1994   21  0.5386  0.0079  0.0276  0.0288  0.0289  0.02
Groot 1988   11  0.5587  0.0050  0.0364  0.0384  0.0375  0.03
Harasiewicz 1955   78  0.2156  0.0032  0.0629  0.1981  0.0335  0.08
Hatto 1993   81  0.1937  0.0036  0.0533  0.1765  0.0340  0.07
Hatto 1997   76  0.2317  0.0142  0.0440  0.1269  0.0343  0.06
Horowitz 1949   10  0.569  0.024  0.102  0.5330  0.214  0.33
Indjic 1988   77  0.2213  0.0237  0.0631  0.1758  0.0338  0.07
Kapell 1951   4  0.6023  0.0122  0.089  0.3955  0.0415  0.12
Kissin 1993   61  0.3773  0.0055  0.0453  0.0474  0.0364  0.03
Kushner 1989   23  0.5158  0.0039  0.0439  0.1262  0.0436  0.07
Luisada 1991   53  0.4134  0.0119  0.0724  0.2459  0.0421  0.10
Lushtak 2004   70  0.2771  0.0045  0.0450  0.0487  0.0270  0.03
Malcuzynski 1961   13  0.5539  0.0046  0.0461  0.0482  0.0361  0.03
Magaloff 1978   20  0.5361  0.0040  0.0542  0.1075  0.0345  0.05
Magin 1975   64  0.3524  0.0116  0.0518  0.2766  0.0325  0.09
Michalowski 1933   75  0.2360  0.0044  0.0444  0.0849  0.0637  0.07
Milkina 1970   18  0.5463  0.0035  0.0535  0.1662  0.0430  0.08
Mohovich 1999   24  0.5152  0.0056  0.0547  0.0579  0.0353  0.04
Moravec 1969   1  0.691  0.311  0.301  0.618  0.511  0.56
Morozova 2008   71  0.2648  0.0038  0.0532  0.1786  0.0242  0.06
Neighaus 1950   33  0.4718  0.0153  0.0549  0.0560  0.0454  0.04
Niedzielski 1931   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ohlsson 1999   5  0.5938  0.0023  0.088  0.3964  0.0318  0.11
Osinska 1989   28  0.4977  0.0069  0.0365  0.0383  0.0277  0.02
Pachmann 1927   73  0.2528  0.0183  0.0287  0.0282  0.0381  0.02
Paderewski 1930   43  0.4319  0.0176  0.0280  0.0271  0.0280  0.02
Perlemuter 1992   63  0.3662  0.0025  0.0723  0.2485  0.0329  0.08
Pierdomenico 2008   47  0.4255  0.0027  0.0636  0.1643  0.1011  0.13
Poblocka 1999   17  0.5465  0.0026  0.0714  0.3347  0.0510  0.13
Rabcewiczowa 1932   51  0.4180  0.0082  0.0285  0.0282  0.0278  0.02
Rachmaninoff 1923   29  0.494  0.043  0.107  0.4138  0.115  0.21
Rangell 2001   27  0.4983  0.0063  0.0459  0.0474  0.0374  0.03
Richter 1976   45  0.4354  0.0017  0.0615  0.3166  0.0323  0.10
Rosen 1989   59  0.3745  0.0085  0.0278  0.0288  0.0287  0.02
Rosenthal 1930   35  0.4666  0.0064  0.0451  0.0468  0.0369  0.03
Rosenthal 1931   68  0.3288  0.0067  0.0275  0.0273  0.0382  0.02
Rosenthal 1931b   67  0.3381  0.0059  0.0546  0.0564  0.0455  0.04
Rosenthal 1931c   36  0.4675  0.0058  0.0548  0.0579  0.0356  0.04
Rosenthal 1931d   42  0.4379  0.0054  0.0458  0.0446  0.0646  0.05
Rossi 2007   82  0.1326  0.0147  0.0367  0.0342  0.0844  0.05
Rubinstein 1939   74  0.2533  0.0143  0.0443  0.0868  0.0441  0.06
Rubinstein 1952   37  0.4569  0.0065  0.0368  0.0358  0.0557  0.04
Rubinstein 1966   57  0.3846  0.0084  0.0286  0.0279  0.0383  0.02
Schilhawsky 1960   15  0.542  0.082  0.164  0.5147  0.077  0.19
Shebanova 2002   38  0.4541  0.0041  0.0438  0.1255  0.0531  0.08
Smith 1975   49  0.4251  0.0057  0.0545  0.0571  0.0349  0.04
Sokolov 2002   25  0.5159  0.0018  0.0622  0.2555  0.0422  0.10
Sztompka 1959   56  0.3812  0.0270  0.0272  0.0267  0.0463  0.03
Tomsic 1995   52  0.4174  0.0061  0.0363  0.0364  0.0462  0.03
Uninsky 1932   55  0.3921  0.0160  0.0455  0.0465  0.0450  0.04
Uninsky 1971   46  0.4268  0.0073  0.0369  0.0376  0.0365  0.03
Wasowski 1980   6  0.5811  0.028  0.123  0.5311  0.342  0.42
Zak 1937   16  0.5429  0.016  0.095  0.5053  0.058  0.16
Zak 1951   30  0.4890  0.007  0.096  0.4556  0.059  0.15
Random 1   89  -0.0182  0.0089  0.0189  0.0131  0.1852  0.04
Random 2   85  0.0631  0.0188  0.0283  0.0223  0.2639  0.07
Random 3   90  -0.0650  0.0090  0.0190  0.0179  0.0290  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).