Blumental 1952

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   56  0.3361  0.0040  0.0438  0.1251  0.0442  0.07
Anderszewski 2003   51  0.3563  0.0052  0.0453  0.0457  0.0459  0.04
Ashkenazy 1981   2  0.5823  0.0115  0.087  0.4038  0.1416  0.24
Bacha 2000   60  0.3158  0.0053  0.0456  0.0464  0.0453  0.04
Badura 1965   44  0.3733  0.0048  0.0459  0.0462  0.0461  0.04
Barbosa 1983   66  0.2870  0.0064  0.0465  0.0476  0.0371  0.03
Biret 1990   29  0.4255  0.0027  0.0825  0.2156  0.0435  0.09
Blet 2003   21  0.4443  0.0041  0.0441  0.1063  0.0450  0.06
Block 1995   82  0.1819  0.0155  0.0454  0.0443  0.1144  0.07
Blumental 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Boshniakovich 1969   5  0.5514  0.0222  0.1022  0.2337  0.1822  0.20
Brailowsky 1960   57  0.3313  0.0372  0.0371  0.0373  0.0465  0.03
Bunin 1987   42  0.3780  0.0060  0.0458  0.0480  0.0375  0.03
Bunin 1987b   41  0.3859  0.0059  0.0463  0.0469  0.0457  0.04
Chiu 1999   36  0.3941  0.0037  0.0440  0.1171  0.0440  0.07
Cohen 1997   84  0.1437  0.0080  0.0281  0.0281  0.0285  0.02
Cortot 1951   1  0.583  0.093  0.101  0.4615  0.441  0.45
Csalog 1996   87  0.1246  0.0089  0.0289  0.0274  0.0384  0.02
Czerny 1949   9  0.527  0.055  0.086  0.4129  0.267  0.33
Czerny 1990   11  0.4949  0.0018  0.088  0.3740  0.1220  0.21
Duchoud 2007   43  0.3734  0.0046  0.0547  0.0563  0.0460  0.04
Ezaki 2006   34  0.4081  0.0033  0.0537  0.1273  0.0346  0.06
Falvay 1989   53  0.3442  0.0071  0.0372  0.0385  0.0367  0.03
Farrell 1958   23  0.4350  0.0032  0.0527  0.1843  0.1128  0.14
Ferenczy 1958   45  0.3720  0.0111  0.0820  0.2432  0.2614  0.25
Fliere 1977   40  0.3871  0.0067  0.0369  0.0378  0.0363  0.03
Fou 1978   75  0.2444  0.0082  0.0282  0.0283  0.0281  0.02
Francois 1956   76  0.2272  0.0061  0.0452  0.0473  0.0379  0.03
Friedman 1923   63  0.3026  0.0113  0.0815  0.319  0.455  0.37
Friedman 1923b   62  0.3021  0.0112  0.0814  0.329  0.454  0.38
Friedman 1930   70  0.2773  0.0028  0.0721  0.2436  0.1721  0.20
Garcia 2007   50  0.3557  0.0054  0.0646  0.0632  0.2233  0.11
Garcia 2007b   61  0.3115  0.0216  0.0823  0.226  0.4111  0.30
Gierzod 1998   4  0.5612  0.037  0.112  0.4523  0.2210  0.31
Gornostaeva 1994   69  0.2752  0.0078  0.0370  0.0373  0.0376  0.03
Groot 1988   77  0.2247  0.0085  0.0287  0.0283  0.0388  0.02
Harasiewicz 1955   74  0.2516  0.0258  0.0450  0.0479  0.0377  0.03
Hatto 1993   26  0.4286  0.0023  0.0929  0.1733  0.1725  0.17
Hatto 1997   24  0.4377  0.0026  0.0826  0.2033  0.1524  0.17
Horowitz 1949   35  0.4010  0.0329  0.0635  0.1253  0.0538  0.08
Indjic 1988   28  0.4283  0.0025  0.0830  0.1738  0.1327  0.15
Kapell 1951   38  0.3811  0.0310  0.0911  0.3431  0.299  0.31
Kissin 1993   58  0.3327  0.0176  0.0375  0.0366  0.0470  0.03
Kushner 1989   27  0.4225  0.0147  0.0455  0.0457  0.0456  0.04
Luisada 1991   15  0.4622  0.0139  0.0434  0.1358  0.0439  0.07
Lushtak 2004   19  0.4474  0.0034  0.0633  0.1457  0.0443  0.07
Malcuzynski 1961   46  0.3739  0.0057  0.0548  0.0570  0.0358  0.04
Magaloff 1978   72  0.2628  0.0179  0.0279  0.0285  0.0280  0.02
Magin 1975   32  0.411  0.121  0.1228  0.1840  0.1326  0.15
Michalowski 1933   16  0.454  0.084  0.093  0.4420  0.422  0.43
Milkina 1970   64  0.3029  0.0138  0.0544  0.0860  0.0447  0.06
Mohovich 1999   59  0.3230  0.0173  0.0377  0.0386  0.0374  0.03
Moravec 1969   17  0.452  0.092  0.095  0.4219  0.353  0.38
Morozova 2008   3  0.575  0.059  0.109  0.3533  0.1517  0.23
Neighaus 1950   31  0.4178  0.0045  0.0639  0.1164  0.0445  0.07
Niedzielski 1931   78  0.2136  0.0050  0.0457  0.0438  0.1636  0.08
Ohlsson 1999   20  0.4487  0.0044  0.0536  0.1279  0.0349  0.06
Osinska 1989   14  0.4717  0.0117  0.1012  0.3322  0.308  0.31
Pachmann 1927   89  0.0388  0.0090  0.0190  0.0189  0.0291  0.01
Paderewski 1930   13  0.479  0.0419  0.0817  0.3025  0.2313  0.26
Perlemuter 1992   33  0.4056  0.0051  0.0451  0.0463  0.0364  0.03
Pierdomenico 2008   67  0.2889  0.0075  0.0378  0.0360  0.0468  0.03
Poblocka 1999   22  0.4331  0.0020  0.0919  0.2439  0.1523  0.19
Rabcewiczowa 1932   25  0.4279  0.0031  0.0524  0.2232  0.2119  0.21
Rachmaninoff 1923   65  0.2845  0.0049  0.0460  0.0450  0.0455  0.04
Rangell 2001   79  0.2067  0.0081  0.0284  0.0289  0.0286  0.02
Richter 1976   88  0.1164  0.0088  0.0288  0.0283  0.0382  0.02
Rosen 1989   49  0.3648  0.0042  0.0445  0.0837  0.2229  0.13
Rosenthal 1930   55  0.3338  0.0065  0.0368  0.0359  0.0473  0.03
Rosenthal 1931   85  0.1365  0.0087  0.0283  0.0284  0.0283  0.02
Rosenthal 1931b   83  0.1884  0.0083  0.0285  0.0273  0.0389  0.02
Rosenthal 1931c   54  0.3432  0.0066  0.0367  0.0364  0.0378  0.03
Rosenthal 1931d   81  0.1868  0.0084  0.0280  0.0286  0.0287  0.02
Rossi 2007   80  0.1935  0.0074  0.0374  0.0350  0.0466  0.03
Rubinstein 1939   71  0.2785  0.0069  0.0376  0.0336  0.1841  0.07
Rubinstein 1952   73  0.2682  0.0086  0.0286  0.0279  0.0390  0.02
Rubinstein 1966   52  0.3575  0.0070  0.0461  0.0487  0.0272  0.03
Schilhawsky 1960   37  0.3954  0.0043  0.0443  0.0974  0.0351  0.05
Shebanova 2002   12  0.4751  0.0035  0.0532  0.1648  0.0732  0.11
Smith 1975   18  0.456  0.058  0.0910  0.3539  0.1715  0.24
Sokolov 2002   39  0.3876  0.0056  0.0549  0.0563  0.0454  0.04
Sztompka 1959   8  0.538  0.056  0.104  0.4333  0.286  0.35
Tomsic 1995   68  0.2860  0.0077  0.0366  0.0382  0.0369  0.03
Uninsky 1932   6  0.5424  0.0114  0.0813  0.3232  0.2712  0.29
Uninsky 1971   7  0.5453  0.0021  0.0818  0.2743  0.1818  0.22
Wasowski 1980   47  0.3662  0.0063  0.0462  0.0473  0.0362  0.03
Zak 1937   30  0.4140  0.0030  0.0631  0.1671  0.0437  0.08
Zak 1951   48  0.3666  0.0036  0.0442  0.1072  0.0448  0.06
Average   10  0.5118  0.0124  0.0816  0.3052  0.0431  0.11
Random 1   91  0.0069  0.0091  0.0191  0.0129  0.2152  0.05
Random 2   90  0.0090  0.0068  0.0373  0.0323  0.2634  0.09
Random 3   86  0.1391  0.0062  0.0464  0.0413  0.4330  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).