Blumental 1952

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   55  0.3361  0.0039  0.0437  0.1250  0.0441  0.07
Anderszewski 2003   50  0.3563  0.0051  0.0452  0.0456  0.0459  0.04
Ashkenazy 1981   2  0.5822  0.0115  0.087  0.4037  0.1416  0.24
Bacha 2000   59  0.3157  0.0052  0.0455  0.0463  0.0452  0.04
Badura 1965   43  0.3733  0.0047  0.0458  0.0461  0.0460  0.04
Barbosa 1983   65  0.2870  0.0063  0.0464  0.0475  0.0370  0.03
Biret 1990   28  0.4254  0.0026  0.0824  0.2155  0.0434  0.09
Blet 2003   20  0.4437  0.0040  0.0440  0.1062  0.0449  0.06
Block 1995   81  0.1818  0.0154  0.0453  0.0442  0.1143  0.07
Blumental 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Boshniakovich 1969   5  0.5514  0.0222  0.1021  0.2336  0.1822  0.20
Brailowsky 1960   56  0.3313  0.0371  0.0370  0.0372  0.0464  0.03
Bunin 1987   41  0.3779  0.0059  0.0457  0.0479  0.0374  0.03
Bunin 1987b   40  0.3859  0.0058  0.0462  0.0468  0.0457  0.04
Chiu 1999   35  0.3941  0.0036  0.0439  0.1170  0.0439  0.07
Cohen 1997   83  0.1436  0.0079  0.0280  0.0280  0.0284  0.02
Cortot 1951   1  0.583  0.093  0.101  0.4614  0.441  0.45
Csalog 1996   86  0.1246  0.0088  0.0288  0.0273  0.0383  0.02
Czerny 1949   9  0.527  0.055  0.086  0.4128  0.267  0.33
Czerny 1990   10  0.4948  0.0018  0.088  0.3739  0.1220  0.21
Duchoud 2007   42  0.3731  0.0145  0.0646  0.0662  0.0451  0.05
Ezaki 2006   33  0.4080  0.0032  0.0536  0.1272  0.0345  0.06
Falvay 1989   52  0.3442  0.0070  0.0371  0.0384  0.0366  0.03
Farrell 1958   22  0.4350  0.0031  0.0526  0.1842  0.1128  0.14
Ferenczy 1958   44  0.3719  0.0111  0.0819  0.2431  0.2614  0.25
Fliere 1977   39  0.3860  0.0066  0.0368  0.0377  0.0362  0.03
Fou 1978   74  0.2443  0.0081  0.0281  0.0282  0.0280  0.02
Francois 1956   75  0.2272  0.0060  0.0451  0.0472  0.0378  0.03
Friedman 1923   62  0.3027  0.0113  0.0815  0.319  0.455  0.37
Friedman 1923b   61  0.3020  0.0112  0.0814  0.329  0.454  0.38
Friedman 1930   69  0.2773  0.0027  0.0720  0.2435  0.1721  0.20
Garcia 2007   49  0.3556  0.0053  0.0645  0.0631  0.2232  0.11
Garcia 2007b   60  0.3115  0.0216  0.0822  0.226  0.4111  0.30
Gierzod 1998   4  0.5612  0.037  0.112  0.4522  0.2210  0.31
Gornostaeva 1994   68  0.2751  0.0077  0.0369  0.0372  0.0375  0.03
Groot 1988   76  0.2247  0.0084  0.0286  0.0282  0.0387  0.02
Harasiewicz 1955   73  0.2516  0.0257  0.0449  0.0478  0.0376  0.03
Hatto 1993   25  0.4286  0.0023  0.0928  0.1732  0.1725  0.17
Hatto 1997   23  0.4376  0.0025  0.0825  0.2032  0.1524  0.17
Horowitz 1949   34  0.4010  0.0328  0.0634  0.1252  0.0537  0.08
Indjic 1988   27  0.4284  0.0024  0.0829  0.1737  0.1327  0.15
Kapell 1951   37  0.3811  0.0310  0.0911  0.3430  0.299  0.31
Kissin 1993   57  0.3328  0.0175  0.0374  0.0365  0.0469  0.03
Kushner 1989   26  0.4226  0.0146  0.0454  0.0456  0.0456  0.04
Luisada 1991   14  0.4621  0.0138  0.0433  0.1357  0.0438  0.07
Lushtak 2004   18  0.4471  0.0033  0.0632  0.1456  0.0442  0.07
Malcuzynski 1961   45  0.3739  0.0056  0.0647  0.0669  0.0358  0.04
Magaloff 1978   71  0.2629  0.0178  0.0278  0.0284  0.0379  0.02
Magin 1975   31  0.411  0.121  0.1227  0.1839  0.1326  0.15
Michalowski 1933   15  0.454  0.084  0.093  0.4419  0.422  0.43
Milkina 1970   63  0.3024  0.0137  0.0543  0.0859  0.0446  0.06
Mohovich 1999   58  0.3230  0.0172  0.0376  0.0385  0.0373  0.03
Moravec 1969   16  0.452  0.092  0.095  0.4218  0.353  0.38
Morozova 2008   3  0.575  0.059  0.109  0.3532  0.1517  0.23
Neighaus 1950   30  0.4177  0.0044  0.0638  0.1163  0.0444  0.07
Niedzielski 1931   77  0.2135  0.0049  0.0456  0.0437  0.1635  0.08
Ohlsson 1999   19  0.4481  0.0043  0.0535  0.1278  0.0348  0.06
Osinska 1989   13  0.4717  0.0117  0.1012  0.3321  0.308  0.31
Pachmann 1927   88  0.0387  0.0089  0.0189  0.0188  0.0290  0.01
Paderewski 1930   12  0.479  0.0419  0.0816  0.3024  0.2313  0.26
Perlemuter 1992   32  0.4055  0.0050  0.0450  0.0462  0.0363  0.03
Pierdomenico 2008   66  0.2888  0.0074  0.0377  0.0359  0.0467  0.03
Poblocka 1999   21  0.4325  0.0120  0.1018  0.2438  0.1523  0.19
Rabcewiczowa 1932   24  0.4278  0.0030  0.0523  0.2231  0.2119  0.21
Rachmaninoff 1923   64  0.2845  0.0048  0.0459  0.0449  0.0455  0.04
Rangell 2001   78  0.2067  0.0080  0.0283  0.0288  0.0285  0.02
Richter 1976   87  0.1165  0.0087  0.0287  0.0282  0.0381  0.02
Rosen 1989   48  0.3644  0.0041  0.0444  0.0836  0.2229  0.13
Rosenthal 1930   54  0.3338  0.0064  0.0367  0.0358  0.0472  0.03
Rosenthal 1931   84  0.1364  0.0086  0.0282  0.0283  0.0282  0.02
Rosenthal 1931b   82  0.1885  0.0082  0.0284  0.0272  0.0388  0.02
Rosenthal 1931c   53  0.3432  0.0065  0.0366  0.0363  0.0377  0.03
Rosenthal 1931d   80  0.1868  0.0083  0.0279  0.0285  0.0286  0.02
Rossi 2007   79  0.1934  0.0073  0.0373  0.0349  0.0465  0.03
Rubinstein 1939   70  0.2782  0.0068  0.0375  0.0336  0.1840  0.07
Rubinstein 1952   72  0.2683  0.0085  0.0285  0.0278  0.0389  0.02
Rubinstein 1966   51  0.3574  0.0069  0.0460  0.0486  0.0271  0.03
Schilhawsky 1960   36  0.3953  0.0042  0.0442  0.0973  0.0350  0.05
Shebanova 2002   11  0.4749  0.0034  0.0531  0.1647  0.0731  0.11
Smith 1975   17  0.456  0.058  0.0910  0.3538  0.1715  0.24
Sokolov 2002   38  0.3875  0.0055  0.0548  0.0562  0.0454  0.04
Sztompka 1959   8  0.538  0.056  0.104  0.4332  0.286  0.35
Tomsic 1995   67  0.2858  0.0076  0.0365  0.0381  0.0368  0.03
Uninsky 1932   6  0.5423  0.0114  0.0813  0.3231  0.2712  0.29
Uninsky 1971   7  0.5452  0.0021  0.0817  0.2742  0.1818  0.22
Wasowski 1980   46  0.3662  0.0062  0.0461  0.0472  0.0453  0.04
Zak 1937   29  0.4140  0.0029  0.0630  0.1670  0.0436  0.08
Zak 1951   47  0.3666  0.0035  0.0441  0.1071  0.0447  0.06
Random 1   90  0.0069  0.0090  0.0190  0.0130  0.1961  0.04
Random 2   89  0.0089  0.0067  0.0372  0.0322  0.2633  0.09
Random 3   85  0.1390  0.0061  0.0463  0.0413  0.4230  0.13

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).