Niedzielski 1931

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   44  0.3781  0.0076  0.0380  0.0367  0.0372  0.03
Anderszewski 2003   40  0.3835  0.0017  0.0921  0.2768  0.0333  0.09
Ashkenazy 1981   24  0.423  0.103  0.139  0.4347  0.0514  0.15
Bacha 2000   53  0.3366  0.0063  0.0554  0.0558  0.0450  0.04
Badura 1965   83  0.2041  0.0082  0.0281  0.0286  0.0287  0.02
Barbosa 1983   59  0.3224  0.0165  0.0464  0.0480  0.0367  0.03
Biret 1990   50  0.3530  0.0062  0.0369  0.0379  0.0378  0.03
Blet 2003   34  0.4026  0.0153  0.0646  0.0664  0.0547  0.05
Block 1995   30  0.4013  0.0219  0.0820  0.2956  0.0425  0.11
Blumental 1952   78  0.2423  0.0124  0.0632  0.1646  0.0629  0.10
Boshniakovich 1969   31  0.4027  0.0135  0.0535  0.1371  0.0345  0.06
Brailowsky 1960   49  0.3540  0.0056  0.0556  0.0577  0.0351  0.04
Bunin 1987   56  0.3350  0.0067  0.0368  0.0379  0.0376  0.03
Bunin 1987b   54  0.3382  0.0068  0.0465  0.0482  0.0365  0.03
Chiu 1999   58  0.3320  0.0123  0.0726  0.2073  0.0431  0.09
Cohen 1997   88  0.1152  0.0088  0.0288  0.0286  0.0290  0.02
Cortot 1951   52  0.3451  0.0038  0.0641  0.1156  0.0539  0.07
Csalog 1996   22  0.4257  0.0045  0.0445  0.0741  0.1624  0.11
Czerny 1949   51  0.3589  0.0077  0.0372  0.0369  0.0371  0.03
Czerny 1990   5  0.5119  0.019  0.0811  0.4243  0.129  0.22
Duchoud 2007   17  0.4517  0.0128  0.0528  0.1872  0.0437  0.08
Ezaki 2006   71  0.2772  0.0085  0.0289  0.0288  0.0281  0.02
Falvay 1989   42  0.3736  0.0043  0.0443  0.0984  0.0346  0.05
Farrell 1958   18  0.4579  0.0046  0.0551  0.0548  0.0453  0.04
Ferenczy 1958   74  0.2688  0.0086  0.0287  0.0281  0.0386  0.02
Fliere 1977   6  0.5059  0.0021  0.0817  0.3277  0.0423  0.11
Fou 1978   79  0.2458  0.0080  0.0373  0.0386  0.0284  0.02
Francois 1956   12  0.4648  0.0055  0.0647  0.0682  0.0361  0.04
Friedman 1923   85  0.189  0.0329  0.0638  0.1238  0.1322  0.12
Friedman 1923b   84  0.1928  0.0030  0.0739  0.1233  0.1815  0.15
Friedman 1930   82  0.2171  0.0052  0.0548  0.0541  0.1336  0.08
Garcia 2007   65  0.302  0.107  0.1415  0.3514  0.472  0.41
Garcia 2007b   86  0.1467  0.0057  0.0461  0.0436  0.2330  0.10
Gierzod 1998   16  0.4561  0.0012  0.0718  0.3259  0.0519  0.13
Gornostaeva 1994   38  0.3944  0.0084  0.0375  0.0388  0.0291  0.02
Groot 1988   10  0.4763  0.0044  0.0442  0.0980  0.0258  0.04
Harasiewicz 1955   77  0.2537  0.0034  0.0530  0.1769  0.0340  0.07
Hatto 1993   70  0.2832  0.0032  0.0523  0.2441  0.1411  0.18
Hatto 1997   81  0.2285  0.0059  0.0459  0.0472  0.0370  0.03
Horowitz 1949   8  0.506  0.054  0.142  0.5929  0.274  0.40
Indjic 1988   68  0.3015  0.0233  0.0924  0.2438  0.1610  0.20
Kapell 1951   4  0.5218  0.0118  0.0914  0.3952  0.0516  0.14
Kissin 1993   47  0.3638  0.0039  0.0537  0.1279  0.0343  0.06
Kushner 1989   20  0.4442  0.0026  0.0625  0.2156  0.0432  0.09
Luisada 1991   37  0.3911  0.0220  0.1119  0.3062  0.0520  0.12
Lushtak 2004   75  0.2568  0.0061  0.0370  0.0385  0.0374  0.03
Malcuzynski 1961   9  0.4825  0.0125  0.0527  0.1952  0.0527  0.10
Magaloff 1978   13  0.4629  0.0048  0.0552  0.0587  0.0264  0.03
Magin 1975   39  0.3814  0.0210  0.0816  0.3553  0.0518  0.13
Michalowski 1933   63  0.3045  0.0037  0.0534  0.1446  0.0728  0.10
Milkina 1970   35  0.4064  0.0058  0.0555  0.0572  0.0454  0.04
Mohovich 1999   25  0.4275  0.0050  0.0553  0.0568  0.0457  0.04
Moravec 1969   1  0.581  0.231  0.221  0.6411  0.441  0.53
Morozova 2008   66  0.3039  0.0040  0.0540  0.1287  0.0248  0.05
Neighaus 1950   32  0.4073  0.0047  0.0457  0.0488  0.0280  0.03
Niedzielski 1931   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ohlsson 1999   3  0.528  0.048  0.107  0.4658  0.0417  0.14
Osinska 1989   45  0.3733  0.0064  0.0460  0.0487  0.0362  0.03
Pachmann 1927   69  0.2916  0.0166  0.0463  0.0452  0.0556  0.04
Paderewski 1930   27  0.4154  0.0051  0.0550  0.0557  0.0455  0.04
Perlemuter 1992   46  0.3631  0.0022  0.0822  0.2669  0.0426  0.10
Pierdomenico 2008   60  0.3276  0.0049  0.0458  0.0451  0.0552  0.04
Poblocka 1999   21  0.4343  0.0042  0.0436  0.1282  0.0341  0.06
Rabcewiczowa 1932   72  0.2769  0.0087  0.0376  0.0387  0.0283  0.02
Rachmaninoff 1923   15  0.4510  0.026  0.148  0.4641  0.127  0.23
Rangell 2001   41  0.3877  0.0073  0.0379  0.0380  0.0377  0.03
Richter 1976   11  0.477  0.055  0.145  0.5026  0.315  0.39
Rosen 1989   61  0.3290  0.0083  0.0377  0.0386  0.0375  0.03
Rosenthal 1930   48  0.3553  0.0072  0.0284  0.0267  0.0473  0.03
Rosenthal 1931   80  0.2478  0.0075  0.0374  0.0372  0.0368  0.03
Rosenthal 1931b   76  0.2565  0.0070  0.0466  0.0446  0.0559  0.04
Rosenthal 1931c   43  0.3755  0.0054  0.0549  0.0560  0.0460  0.04
Rosenthal 1931d   64  0.3056  0.0069  0.0371  0.0364  0.0479  0.03
Rossi 2007   87  0.1174  0.0071  0.0462  0.0454  0.0363  0.03
Rubinstein 1939   73  0.2646  0.0041  0.0544  0.0854  0.0442  0.06
Rubinstein 1952   36  0.4049  0.0060  0.0367  0.0348  0.0849  0.05
Rubinstein 1966   57  0.3383  0.0081  0.0283  0.0273  0.0469  0.03
Schilhawsky 1960   26  0.4222  0.0115  0.0810  0.4244  0.156  0.25
Shebanova 2002   14  0.4612  0.0213  0.0813  0.3943  0.148  0.23
Smith 1975   67  0.3080  0.0078  0.0286  0.0284  0.0282  0.02
Sokolov 2002   23  0.4260  0.0031  0.0531  0.1769  0.0338  0.07
Sztompka 1959   33  0.405  0.0527  0.0529  0.1769  0.0435  0.08
Tomsic 1995   62  0.3291  0.0074  0.0378  0.0381  0.0366  0.03
Uninsky 1932   29  0.4134  0.0036  0.0533  0.1565  0.0534  0.09
Uninsky 1971   55  0.3386  0.0079  0.0282  0.0284  0.0385  0.02
Wasowski 1980   7  0.5021  0.0114  0.084  0.5224  0.313  0.40
Zak 1937   19  0.4562  0.0011  0.086  0.4759  0.0512  0.15
Zak 1951   28  0.4184  0.0016  0.1012  0.3971  0.0421  0.12
Average   2  0.564  0.092  0.133  0.5875  0.0413  0.15
Random 1   91  -0.0370  0.0090  0.0190  0.0160  0.0388  0.02
Random 2   89  0.0347  0.0089  0.0285  0.0231  0.2144  0.06
Random 3   90  -0.0287  0.0091  0.0191  0.0172  0.0389  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).