Niedzielski 1931

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   71  0.2336  0.0059  0.0559  0.0563  0.0466  0.04
Anderszewski 2003   50  0.2929  0.0046  0.0560  0.0548  0.0752  0.06
Ashkenazy 1981   1  0.481  0.461  0.461  0.7412  0.631  0.68
Bacha 2000   61  0.2546  0.0060  0.0550  0.0556  0.0553  0.05
Badura 1965   59  0.2614  0.0134  0.0642  0.1339  0.1435  0.13
Barbosa 1983   22  0.3574  0.0045  0.0745  0.0759  0.0651  0.06
Biret 1990   77  0.2152  0.0072  0.0386  0.0362  0.0483  0.03
Blet 2003   7  0.4010  0.029  0.098  0.557  0.564  0.55
Block 1995   30  0.3473  0.0021  0.1024  0.3451  0.0633  0.14
Blumental 1952   37  0.3238  0.0015  0.1117  0.4435  0.2216  0.31
Boshniakovich 1969   23  0.3520  0.0140  0.0833  0.2570  0.0443  0.10
Brailowsky 1960   60  0.2659  0.0058  0.0471  0.0459  0.0655  0.05
Bunin 1987   45  0.3045  0.0042  0.0940  0.1845  0.0839  0.12
Bunin 1987b   43  0.3163  0.0041  0.0738  0.2048  0.0736  0.12
Chiu 1999   40  0.3242  0.0036  0.0637  0.2074  0.0444  0.09
Cohen 1997   72  0.2375  0.0062  0.0548  0.0559  0.0468  0.04
Cortot 1951   85  0.1565  0.0085  0.0466  0.0486  0.0284  0.03
Csalog 1996   39  0.3213  0.0124  0.0727  0.3226  0.2518  0.28
Czerny 1949   87  0.0567  0.0087  0.0287  0.0289  0.0189  0.01
Czerny 1990   32  0.3456  0.0025  0.0725  0.3246  0.0828  0.16
Duchoud 2007   66  0.2437  0.0068  0.0473  0.0458  0.0567  0.04
Ezaki 2006   81  0.1869  0.0084  0.0467  0.0481  0.0460  0.04
Falvay 1989   52  0.2827  0.0029  0.0639  0.1967  0.0542  0.10
Farrell 1958   64  0.2587  0.0081  0.0472  0.0474  0.0375  0.03
Ferenczy 1958   83  0.1685  0.0082  0.0558  0.0562  0.0558  0.05
Fliere 1977   3  0.428  0.024  0.207  0.5551  0.0623  0.18
Fou 1978   36  0.3270  0.0052  0.0554  0.0585  0.0276  0.03
Francois 1956   82  0.1777  0.0083  0.0469  0.0484  0.0285  0.03
Friedman 1923   20  0.3612  0.0113  0.1416  0.4424  0.479  0.45
Friedman 1923b   16  0.377  0.0212  0.1214  0.4624  0.477  0.46
Friedman 1930   31  0.349  0.0216  0.1412  0.5020  0.515  0.50
Garcia 2007   46  0.296  0.0227  0.0636  0.2432  0.2122  0.22
Garcia 2007b   68  0.2444  0.0075  0.0376  0.0350  0.0570  0.04
Gierzod 1998   42  0.3122  0.0026  0.0730  0.2764  0.0537  0.12
Gornostaeva 1994   69  0.2453  0.0067  0.0470  0.0478  0.0381  0.03
Groot 1988   10  0.3923  0.0017  0.1113  0.4846  0.0627  0.17
Harasiewicz 1955   24  0.3572  0.0044  0.0544  0.1065  0.0549  0.07
Hatto 1993   9  0.405  0.023  0.183  0.6131  0.2712  0.41
Hatto 1997   54  0.2847  0.0054  0.0646  0.0675  0.0457  0.05
Horowitz 1949   11  0.393  0.075  0.176  0.5710  0.592  0.58
Indjic 1988   13  0.3916  0.016  0.115  0.5732  0.2911  0.41
Kapell 1951   17  0.364  0.078  0.1021  0.3641  0.0924  0.18
Kissin 1993   21  0.3550  0.0033  0.0629  0.2954  0.0732  0.14
Kushner 1989   34  0.3376  0.0043  0.0543  0.1168  0.0547  0.07
Luisada 1991   12  0.3915  0.0118  0.1510  0.5230  0.2713  0.37
Lushtak 2004   73  0.2343  0.0077  0.0384  0.0363  0.0480  0.03
Malcuzynski 1961   5  0.4131  0.0019  0.1015  0.4649  0.0626  0.17
Magaloff 1978   25  0.3519  0.0153  0.0547  0.0562  0.0462  0.04
Magin 1975   14  0.3828  0.0020  0.0920  0.3839  0.1919  0.27
Michalowski 1933   53  0.2866  0.0061  0.0561  0.0549  0.0750  0.06
Milkina 1970   78  0.2089  0.0078  0.0380  0.0371  0.0477  0.03
Mohovich 1999   33  0.3351  0.0039  0.0734  0.2546  0.0638  0.12
Moravec 1969   29  0.3530  0.0032  0.0722  0.3548  0.0630  0.14
Morozova 2008   62  0.2568  0.0071  0.0381  0.0384  0.0378  0.03
Neighaus 1950   47  0.2933  0.0048  0.0549  0.0559  0.0559  0.05
Niedzielski 1931   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ohlsson 1999   15  0.3811  0.0211  0.1218  0.3937  0.2317  0.30
Osinska 1989   75  0.2235  0.0073  0.0385  0.0386  0.0286  0.02
Pachmann 1927   51  0.2841  0.0065  0.0553  0.0544  0.1148  0.07
Paderewski 1930   35  0.3226  0.0047  0.0552  0.0528  0.4131  0.14
Perlemuter 1992   48  0.2964  0.0049  0.0551  0.0561  0.0554  0.05
Pierdomenico 2008   74  0.2257  0.0080  0.0377  0.0376  0.0372  0.03
Poblocka 1999   58  0.2688  0.0066  0.0462  0.0478  0.0371  0.03
Rabcewiczowa 1932   80  0.1978  0.0076  0.0379  0.0376  0.0374  0.03
Rachmaninoff 1923   8  0.4024  0.0014  0.119  0.5318  0.466  0.49
Rangell 2001   70  0.2481  0.0070  0.0382  0.0374  0.0382  0.03
Richter 1976   2  0.462  0.102  0.172  0.6323  0.503  0.56
Rosen 1989   28  0.3554  0.0031  0.0726  0.3271  0.0441  0.11
Rosenthal 1930   44  0.3062  0.0035  0.0641  0.1530  0.4120  0.25
Rosenthal 1931   76  0.2234  0.0056  0.0556  0.0526  0.4429  0.15
Rosenthal 1931b   65  0.2555  0.0023  0.0835  0.2420  0.5315  0.36
Rosenthal 1931c   38  0.3240  0.0022  0.0919  0.3817  0.5010  0.44
Rosenthal 1931d   79  0.1979  0.0057  0.0474  0.0434  0.1746  0.08
Rossi 2007   84  0.1632  0.0074  0.0465  0.0442  0.1745  0.08
Rubinstein 1939   63  0.2580  0.0079  0.0468  0.0471  0.0373  0.03
Rubinstein 1952   57  0.2782  0.0064  0.0464  0.0459  0.0469  0.04
Rubinstein 1966   49  0.2971  0.0050  0.0557  0.0572  0.0364  0.04
Schilhawsky 1960   67  0.2458  0.0069  0.0383  0.0357  0.0565  0.04
Shebanova 2002   6  0.4025  0.007  0.154  0.6140  0.2214  0.37
Smith 1975   86  0.1060  0.0086  0.0378  0.0387  0.0287  0.02
Sokolov 2002   41  0.3161  0.0051  0.0555  0.0565  0.0461  0.04
Sztompka 1959   4  0.4117  0.0110  0.1111  0.5124  0.398  0.45
Tomsic 1995   55  0.2848  0.0063  0.0475  0.0452  0.0656  0.05
Uninsky 1932   19  0.3618  0.0128  0.0623  0.3453  0.0534  0.13
Uninsky 1971   56  0.2783  0.0055  0.0463  0.0473  0.0463  0.04
Wasowski 1980   18  0.3621  0.0137  0.0732  0.2572  0.0540  0.11
Zak 1937   26  0.3539  0.0030  0.0728  0.3241  0.1521  0.22
Zak 1951   27  0.3549  0.0038  0.0631  0.2743  0.1225  0.18
Random 1   90  -0.0790  0.0089  0.0189  0.0181  0.0290  0.01
Random 2   88  0.0184  0.0088  0.0288  0.0264  0.0479  0.03
Random 3   89  -0.0686  0.0090  0.0190  0.0170  0.0388  0.02

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).