Niedzielski 1931

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   63  0.2578  0.0054  0.0555  0.0569  0.0465  0.04
Anderszewski 2003   44  0.2940  0.0047  0.0557  0.0568  0.0463  0.04
Ashkenazy 1981   5  0.3821  0.0110  0.095  0.4911  0.464  0.47
Bacha 2000   39  0.3024  0.0157  0.0847  0.0882  0.0348  0.05
Badura 1965   36  0.315  0.0714  0.0736  0.1445  0.1024  0.12
Barbosa 1983   22  0.3465  0.0043  0.0541  0.1174  0.0345  0.06
Biret 1990   9  0.3635  0.0024  0.0822  0.3573  0.0336  0.10
Blet 2003   2  0.3917  0.018  0.0910  0.4515  0.367  0.40
Block 1995   34  0.3210  0.0311  0.0915  0.4148  0.0616  0.16
Blumental 1952   30  0.3325  0.0116  0.079  0.4569  0.0518  0.15
Boshniakovich 1969   29  0.3367  0.0041  0.0540  0.1375  0.0346  0.06
Brailowsky 1960   31  0.3373  0.0028  0.0914  0.4144  0.1312  0.23
Bunin 1987   68  0.2468  0.0053  0.0946  0.0954  0.0542  0.07
Bunin 1987b   61  0.2579  0.0052  0.0558  0.0554  0.0551  0.05
Chiu 1999   76  0.1988  0.0072  0.0560  0.0574  0.0358  0.04
Cohen 1997   49  0.2832  0.0129  0.0934  0.1929  0.1814  0.18
Cortot 1951   82  0.1634  0.0087  0.0282  0.0279  0.0389  0.02
Csalog 1996   33  0.3215  0.0212  0.1113  0.4347  0.0615  0.16
Czerny 1949   87  0.1250  0.0088  0.0286  0.0289  0.0190  0.01
Czerny 1990   64  0.2451  0.0068  0.0474  0.0479  0.0379  0.03
Duchoud 2007   84  0.1571  0.0081  0.0284  0.0284  0.0288  0.02
Ezaki 2006   32  0.3274  0.0046  0.0652  0.0685  0.0355  0.04
Falvay 1989   26  0.334  0.095  0.126  0.4652  0.0517  0.15
Farrell 1958   70  0.2486  0.0082  0.0380  0.0385  0.0284  0.02
Ferenczy 1958   16  0.3464  0.0015  0.0712  0.4333  0.338  0.38
Fliere 1977   15  0.3580  0.0026  0.0827  0.3079  0.0426  0.11
Fou 1978   48  0.2855  0.0064  0.0556  0.0579  0.0360  0.04
Francois 1956   69  0.2448  0.0070  0.0467  0.0473  0.0468  0.04
Friedman 1923   60  0.2627  0.0155  0.0653  0.0642  0.1240  0.08
Friedman 1923b   51  0.2816  0.0149  0.0561  0.0539  0.1935  0.10
Friedman 1930   42  0.2913  0.0217  0.0617  0.4027  0.329  0.36
Garcia 2007   65  0.2429  0.0161  0.0469  0.0459  0.0566  0.04
Garcia 2007b   78  0.1861  0.0079  0.0377  0.0379  0.0382  0.03
Gierzod 1998   10  0.3622  0.017  0.0818  0.3862  0.0423  0.12
Gornostaeva 1994   24  0.3430  0.0119  0.0620  0.3765  0.0425  0.12
Groot 1988   18  0.3412  0.0213  0.0816  0.4159  0.0521  0.14
Harasiewicz 1955   28  0.3328  0.0137  0.0533  0.2069  0.0438  0.09
Hatto 1993   35  0.3144  0.0027  0.0828  0.2886  0.0337  0.09
Hatto 1997   43  0.2962  0.0042  0.0545  0.0981  0.0354  0.05
Horowitz 1949   46  0.292  0.132  0.1311  0.4310  0.523  0.47
Indjic 1988   45  0.2969  0.0038  0.0538  0.1386  0.0344  0.06
Kapell 1951   47  0.289  0.0336  0.0739  0.1376  0.0343  0.06
Kissin 1993   55  0.2656  0.0067  0.0471  0.0476  0.0462  0.04
Kushner 1989   57  0.2681  0.0065  0.0748  0.0786  0.0350  0.05
Luisada 1991   12  0.3514  0.0225  0.0819  0.3853  0.0520  0.14
Lushtak 2004   72  0.2359  0.0071  0.0564  0.0584  0.0367  0.04
Malcuzynski 1961   4  0.397  0.0421  0.0724  0.3269  0.0430  0.11
Magaloff 1978   53  0.2775  0.0059  0.0466  0.0481  0.0370  0.03
Magin 1975   56  0.2676  0.0062  0.0554  0.0579  0.0359  0.04
Michalowski 1933   86  0.1360  0.0086  0.0287  0.0280  0.0286  0.02
Milkina 1970   71  0.2389  0.0073  0.0470  0.0480  0.0374  0.03
Mohovich 1999   14  0.3570  0.0023  0.0723  0.3382  0.0334  0.10
Moravec 1969   20  0.3449  0.0020  0.0821  0.3560  0.0619  0.14
Morozova 2008   85  0.1377  0.0085  0.0288  0.0288  0.0287  0.02
Neighaus 1950   54  0.2637  0.0058  0.0749  0.0755  0.0547  0.06
Niedzielski 1931   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ohlsson 1999   37  0.3143  0.0056  0.0650  0.0655  0.0553  0.05
Osinska 1989   73  0.2331  0.0169  0.0472  0.0484  0.0369  0.03
Pachmann 1927   88  0.1290  0.0080  0.0283  0.0283  0.0285  0.02
Paderewski 1930   74  0.2133  0.0176  0.0473  0.0456  0.0561  0.04
Perlemuter 1992   79  0.1782  0.0051  0.0562  0.0564  0.0456  0.04
Pierdomenico 2008   83  0.1553  0.0083  0.0285  0.0278  0.0383  0.02
Poblocka 1999   58  0.2663  0.0063  0.0563  0.0574  0.0457  0.04
Rabcewiczowa 1932   52  0.2791  0.0050  0.0565  0.0587  0.0273  0.03
Rachmaninoff 1923   3  0.398  0.036  0.104  0.4929  0.326  0.40
Rangell 2001   75  0.1957  0.0078  0.0379  0.0379  0.0480  0.03
Richter 1976   27  0.3311  0.0245  0.0543  0.1080  0.0352  0.05
Rosen 1989   7  0.386  0.043  0.112  0.5241  0.2110  0.33
Rosenthal 1930   13  0.3526  0.0118  0.087  0.4618  0.512  0.48
Rosenthal 1931   40  0.2952  0.0033  0.0735  0.1735  0.2113  0.19
Rosenthal 1931b   25  0.343  0.104  0.113  0.529  0.561  0.54
Rosenthal 1931c   6  0.3820  0.019  0.088  0.4623  0.385  0.42
Rosenthal 1931d   41  0.2946  0.0022  0.0729  0.2632  0.2911  0.27
Rossi 2007   50  0.2823  0.0144  0.0544  0.0939  0.1428  0.11
Rubinstein 1939   80  0.1641  0.0084  0.0381  0.0384  0.0372  0.03
Rubinstein 1952   77  0.1983  0.0075  0.0476  0.0475  0.0381  0.03
Rubinstein 1966   66  0.2439  0.0066  0.0468  0.0487  0.0275  0.03
Schilhawsky 1960   62  0.2554  0.0074  0.0559  0.0582  0.0364  0.04
Shebanova 2002   59  0.2658  0.0039  0.0542  0.1160  0.0541  0.07
Smith 1975   81  0.1684  0.0077  0.0378  0.0385  0.0371  0.03
Sokolov 2002   8  0.3719  0.0134  0.0732  0.2149  0.0627  0.11
Sztompka 1959   19  0.3438  0.0040  0.0537  0.1448  0.0539  0.08
Tomsic 1995   21  0.3418  0.0135  0.0830  0.2562  0.0532  0.11
Uninsky 1932   67  0.2445  0.0060  0.0475  0.0482  0.0376  0.03
Uninsky 1971   23  0.3436  0.0030  0.0731  0.2460  0.0533  0.11
Wasowski 1980   38  0.3066  0.0048  0.0651  0.0673  0.0549  0.05
Zak 1937   17  0.3442  0.0032  0.0925  0.3262  0.0429  0.11
Zak 1951   11  0.3587  0.0031  0.0626  0.3073  0.0431  0.11
Average   1  0.451  0.151  0.151  0.5481  0.0322  0.13
Random 1   90  -0.0772  0.0090  0.0290  0.0254  0.0478  0.03
Random 2   89  0.0147  0.0089  0.0289  0.0253  0.0477  0.03
Random 3   91  -0.1185  0.0091  0.0191  0.0184  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).