Niedzielski 1931

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   43  0.3782  0.0075  0.0379  0.0366  0.0473  0.03
Anderszewski 2003   39  0.3836  0.0016  0.0920  0.2767  0.0332  0.09
Ashkenazy 1981   23  0.422  0.122  0.138  0.4346  0.0612  0.16
Bacha 2000   52  0.3366  0.0062  0.0553  0.0557  0.0449  0.04
Badura 1965   82  0.2040  0.0081  0.0380  0.0385  0.0286  0.02
Barbosa 1983   58  0.3218  0.0164  0.0463  0.0479  0.0368  0.03
Biret 1990   49  0.3528  0.0061  0.0368  0.0378  0.0379  0.03
Blet 2003   33  0.4026  0.0152  0.0645  0.0663  0.0546  0.05
Block 1995   29  0.4012  0.0218  0.0819  0.2955  0.0424  0.11
Blumental 1952   77  0.2424  0.0123  0.0631  0.1645  0.0628  0.10
Boshniakovich 1969   30  0.4027  0.0134  0.0534  0.1370  0.0344  0.06
Brailowsky 1960   48  0.3539  0.0055  0.0555  0.0576  0.0350  0.04
Bunin 1987   55  0.3345  0.0066  0.0367  0.0378  0.0377  0.03
Bunin 1987b   53  0.3379  0.0067  0.0464  0.0481  0.0365  0.03
Chiu 1999   57  0.3319  0.0122  0.0725  0.2072  0.0430  0.09
Cohen 1997   87  0.1151  0.0087  0.0287  0.0285  0.0289  0.02
Cortot 1951   51  0.3450  0.0037  0.0640  0.1155  0.0538  0.07
Csalog 1996   21  0.4257  0.0044  0.0444  0.0740  0.1623  0.11
Czerny 1949   50  0.3588  0.0076  0.0371  0.0368  0.0372  0.03
Czerny 1990   4  0.5120  0.018  0.0810  0.4242  0.129  0.22
Duchoud 2007   16  0.4516  0.0127  0.0527  0.1871  0.0436  0.08
Ezaki 2006   70  0.2774  0.0084  0.0288  0.0287  0.0282  0.02
Falvay 1989   41  0.3730  0.0042  0.0442  0.0983  0.0345  0.05
Farrell 1958   17  0.4580  0.0045  0.0550  0.0547  0.0452  0.04
Ferenczy 1958   73  0.2687  0.0085  0.0286  0.0280  0.0385  0.02
Fliere 1977   5  0.5058  0.0020  0.0816  0.3276  0.0422  0.11
Fou 1978   78  0.2452  0.0079  0.0372  0.0385  0.0364  0.03
Francois 1956   11  0.4648  0.0054  0.0646  0.0681  0.0360  0.04
Friedman 1923   84  0.188  0.0328  0.0637  0.1237  0.1321  0.12
Friedman 1923b   83  0.1925  0.0129  0.0838  0.1232  0.1814  0.15
Friedman 1930   81  0.2160  0.0051  0.0647  0.0640  0.1333  0.09
Garcia 2007   64  0.303  0.106  0.1414  0.3513  0.472  0.41
Garcia 2007b   85  0.1467  0.0056  0.0460  0.0435  0.2329  0.10
Gierzod 1998   15  0.4561  0.0011  0.0817  0.3258  0.0518  0.13
Gornostaeva 1994   37  0.3943  0.0083  0.0374  0.0387  0.0290  0.02
Groot 1988   9  0.4763  0.0043  0.0441  0.0979  0.0257  0.04
Harasiewicz 1955   76  0.2537  0.0033  0.0529  0.1768  0.0339  0.07
Hatto 1993   69  0.2832  0.0031  0.0622  0.2440  0.1411  0.18
Hatto 1997   80  0.2270  0.0058  0.0458  0.0471  0.0371  0.03
Horowitz 1949   7  0.506  0.053  0.142  0.5928  0.274  0.40
Indjic 1988   67  0.3015  0.0232  0.0923  0.2437  0.1610  0.20
Kapell 1951   3  0.5217  0.0117  0.0913  0.3951  0.0515  0.14
Kissin 1993   46  0.3635  0.0038  0.0536  0.1278  0.0342  0.06
Kushner 1989   19  0.4442  0.0025  0.0624  0.2155  0.0431  0.09
Luisada 1991   36  0.3910  0.0219  0.1218  0.3061  0.0519  0.12
Lushtak 2004   74  0.2569  0.0060  0.0369  0.0384  0.0375  0.03
Malcuzynski 1961   8  0.4822  0.0124  0.0526  0.1951  0.0526  0.10
Magaloff 1978   12  0.4629  0.0047  0.0551  0.0586  0.0263  0.03
Magin 1975   38  0.3814  0.029  0.0915  0.3552  0.0517  0.13
Michalowski 1933   62  0.3044  0.0036  0.0533  0.1445  0.0727  0.10
Milkina 1970   34  0.4064  0.0057  0.0554  0.0571  0.0453  0.04
Mohovich 1999   24  0.4276  0.0049  0.0552  0.0567  0.0456  0.04
Moravec 1969   1  0.581  0.241  0.231  0.6410  0.441  0.53
Morozova 2008   65  0.3038  0.0039  0.0539  0.1286  0.0247  0.05
Neighaus 1950   31  0.4068  0.0046  0.0456  0.0487  0.0281  0.03
Niedzielski 1931   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ohlsson 1999   2  0.527  0.057  0.116  0.4657  0.0416  0.14
Osinska 1989   44  0.3734  0.0063  0.0459  0.0486  0.0361  0.03
Pachmann 1927   68  0.2913  0.0265  0.0462  0.0451  0.0555  0.04
Paderewski 1930   26  0.4154  0.0050  0.0549  0.0556  0.0454  0.04
Perlemuter 1992   45  0.3631  0.0021  0.0821  0.2668  0.0425  0.10
Pierdomenico 2008   59  0.3271  0.0048  0.0457  0.0450  0.0551  0.04
Poblocka 1999   20  0.4341  0.0041  0.0435  0.1281  0.0340  0.06
Rabcewiczowa 1932   71  0.2772  0.0086  0.0375  0.0386  0.0284  0.02
Rachmaninoff 1923   14  0.459  0.035  0.147  0.4640  0.127  0.23
Rangell 2001   40  0.3877  0.0072  0.0378  0.0379  0.0378  0.03
Richter 1976   10  0.474  0.064  0.144  0.5025  0.315  0.39
Rosen 1989   60  0.3289  0.0082  0.0376  0.0385  0.0376  0.03
Rosenthal 1930   47  0.3553  0.0071  0.0283  0.0266  0.0474  0.03
Rosenthal 1931   79  0.2478  0.0074  0.0373  0.0371  0.0369  0.03
Rosenthal 1931b   75  0.2565  0.0069  0.0465  0.0445  0.0558  0.04
Rosenthal 1931c   42  0.3755  0.0053  0.0548  0.0559  0.0459  0.04
Rosenthal 1931d   63  0.3056  0.0068  0.0370  0.0363  0.0480  0.03
Rossi 2007   86  0.1175  0.0070  0.0461  0.0453  0.0362  0.03
Rubinstein 1939   72  0.2646  0.0040  0.0543  0.0853  0.0541  0.06
Rubinstein 1952   35  0.4049  0.0059  0.0366  0.0347  0.0848  0.05
Rubinstein 1966   56  0.3383  0.0080  0.0282  0.0272  0.0470  0.03
Schilhawsky 1960   25  0.4223  0.0114  0.089  0.4243  0.156  0.25
Shebanova 2002   13  0.4611  0.0212  0.0812  0.3942  0.148  0.23
Smith 1975   66  0.3081  0.0077  0.0285  0.0283  0.0283  0.02
Sokolov 2002   22  0.4259  0.0030  0.0530  0.1768  0.0337  0.07
Sztompka 1959   32  0.405  0.0626  0.0528  0.1768  0.0435  0.08
Tomsic 1995   61  0.3290  0.0073  0.0377  0.0380  0.0366  0.03
Uninsky 1932   28  0.4133  0.0035  0.0532  0.1564  0.0534  0.09
Uninsky 1971   54  0.3385  0.0078  0.0381  0.0383  0.0367  0.03
Wasowski 1980   6  0.5021  0.0113  0.083  0.5223  0.313  0.40
Zak 1937   18  0.4562  0.0010  0.085  0.4758  0.0513  0.15
Zak 1951   27  0.4184  0.0015  0.1011  0.3970  0.0420  0.12
Random 1   90  -0.0373  0.0089  0.0189  0.0160  0.0387  0.02
Random 2   88  0.0347  0.0088  0.0284  0.0231  0.2143  0.06
Random 3   89  -0.0286  0.0090  0.0190  0.0171  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).