Afanassiev 2001

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Anderszewski 2003   75  0.3466  0.0061  0.0462  0.0457  0.0382  0.03
Ashkenazy 1981   61  0.4373  0.0056  0.0555  0.0565  0.0472  0.04
Bacha 2000   57  0.4625  0.0070  0.0373  0.0346  0.0665  0.04
Badura 1965   34  0.5530  0.0019  0.1017  0.412  0.645  0.51
Barbosa 1983   18  0.6039  0.0015  0.0915  0.439  0.5411  0.48
Biret 1990   33  0.5546  0.0048  0.0459  0.0431  0.2447  0.10
Blet 2003   10  0.6420  0.0118  0.1018  0.397  0.4618  0.42
Block 1995   67  0.4188  0.0085  0.0464  0.0470  0.0384  0.03
Blumental 1952   72  0.3564  0.0055  0.0550  0.0533  0.2046  0.10
Boshniakovich 1969   58  0.4570  0.0069  0.0281  0.0288  0.0290  0.02
Brailowsky 1960   52  0.4812  0.0165  0.0370  0.0364  0.0473  0.03
Bunin 1987   39  0.5358  0.0053  0.1142  0.1141  0.1441  0.12
Bunin 1987b   38  0.5437  0.0052  0.0649  0.0641  0.1448  0.09
Chiu 1999   53  0.4723  0.0149  0.0554  0.0535  0.2443  0.11
Cohen 1997   83  0.2336  0.0078  0.0376  0.0376  0.0385  0.03
Cortot 1951   56  0.4681  0.0059  0.0551  0.0543  0.1158  0.07
Csalog 1996   50  0.5048  0.0064  0.0461  0.0439  0.2149  0.09
Czerny 1949   7  0.6618  0.014  0.163  0.587  0.672  0.62
Czerny 1990   9  0.6560  0.006  0.097  0.5113  0.508  0.50
Duchoud 2007   32  0.5571  0.0033  0.0632  0.1734  0.2635  0.21
Ezaki 2006   1  0.751  0.531  0.521  0.753  0.681  0.71
Falvay 1989   11  0.649  0.0220  0.1321  0.3712  0.4120  0.39
Farrell 1958   54  0.4727  0.0066  0.0371  0.0346  0.0567  0.04
Ferenczy 1958   36  0.5419  0.0141  0.0446  0.0817  0.4137  0.18
Fliere 1977   24  0.5868  0.0044  0.0539  0.1262  0.0455  0.07
Fou 1978   35  0.5529  0.0026  0.0626  0.2037  0.2231  0.21
Francois 1956   3  0.6721  0.015  0.135  0.5410  0.534  0.53
Friedman 1923   86  0.2043  0.0082  0.0284  0.0232  0.2163  0.06
Friedman 1923b   85  0.2042  0.0081  0.0288  0.0232  0.2062  0.06
Friedman 1930   84  0.2389  0.0080  0.0286  0.0274  0.0388  0.02
Garcia 2007   87  0.1972  0.0077  0.0285  0.0264  0.0483  0.03
Garcia 2007b   88  0.1344  0.0087  0.0375  0.0356  0.0487  0.03
Gierzod 1998   37  0.5426  0.0023  0.0923  0.2921  0.2823  0.28
Gornostaeva 1994   12  0.646  0.038  0.1216  0.4319  0.4019  0.41
Groot 1988   5  0.672  0.0613  0.118  0.5018  0.4114  0.45
Harasiewicz 1955   59  0.4561  0.0038  0.0434  0.1655  0.0453  0.08
Hatto 1993   80  0.2549  0.0037  0.0543  0.1045  0.0950  0.09
Hatto 1997   70  0.374  0.0324  0.1124  0.2534  0.2030  0.22
Horowitz 1949   69  0.3990  0.0067  0.0374  0.0355  0.0568  0.04
Indjic 1988   78  0.2755  0.0040  0.0545  0.0952  0.0557  0.07
Kapell 1951   30  0.5641  0.0050  0.0552  0.0538  0.2244  0.10
Kissin 1993   29  0.5678  0.0043  0.0540  0.1243  0.1839  0.15
Kushner 1989   23  0.5984  0.0034  0.0530  0.1730  0.2532  0.21
Luisada 1991   55  0.4751  0.0039  0.0537  0.1352  0.0551  0.08
Lushtak 2004   47  0.5085  0.0046  0.0460  0.0454  0.0571  0.04
Malcuzynski 1961   4  0.6714  0.0110  0.1011  0.4717  0.4017  0.43
Magaloff 1978   49  0.5038  0.0057  0.0556  0.0588  0.0274  0.03
Magin 1975   74  0.3479  0.0084  0.0378  0.0362  0.0478  0.03
Michalowski 1933   82  0.2453  0.0071  0.0282  0.0258  0.0581  0.03
Milkina 1970   21  0.5959  0.0028  0.0527  0.1932  0.2433  0.21
Mohovich 1999   8  0.655  0.0312  0.114  0.5612  0.543  0.55
Moravec 1969   22  0.5928  0.0036  0.0535  0.1622  0.3228  0.23
Morozova 2008   19  0.603  0.053  0.1510  0.476  0.4812  0.47
Neighaus 1950   16  0.6122  0.019  0.1212  0.4722  0.4216  0.44
Niedzielski 1931   71  0.3786  0.0074  0.0367  0.0380  0.0377  0.03
Ohlsson 1999   31  0.5676  0.0045  0.0544  0.1054  0.0556  0.07
Osinska 1989   28  0.5750  0.0042  0.0441  0.1130  0.2138  0.15
Pachmann 1927   65  0.4317  0.0163  0.0466  0.0433  0.2445  0.10
Paderewski 1930   66  0.4277  0.0068  0.0463  0.0475  0.0380  0.03
Perlemuter 1992   41  0.5363  0.0047  0.0558  0.0546  0.0859  0.06
Pierdomenico 2008   68  0.4065  0.0075  0.0369  0.0361  0.0475  0.03
Poblocka 1999   15  0.6215  0.0117  0.0922  0.3023  0.3022  0.30
Rabcewiczowa 1932   27  0.5731  0.0021  0.0819  0.389  0.629  0.49
Rachmaninoff 1923   43  0.5233  0.0032  0.0629  0.1827  0.2829  0.22
Rangell 2001   46  0.5216  0.0151  0.0647  0.0624  0.2940  0.13
Richter 1976   62  0.4391  0.0073  0.0372  0.0364  0.0379  0.03
Rosen 1989   25  0.5810  0.027  0.0814  0.4513  0.4713  0.46
Rosenthal 1930   51  0.4913  0.0127  0.0633  0.1619  0.5024  0.28
Rosenthal 1931   73  0.3556  0.0076  0.0368  0.0333  0.2152  0.08
Rosenthal 1931b   77  0.3067  0.0079  0.0283  0.0245  0.1164  0.05
Rosenthal 1931c   64  0.4369  0.0058  0.0553  0.0530  0.2842  0.12
Rosenthal 1931d   76  0.3335  0.0083  0.0280  0.0254  0.0486  0.03
Rossi 2007   81  0.2582  0.0086  0.0287  0.0236  0.1660  0.06
Rubinstein 1939   79  0.2534  0.0088  0.0379  0.0371  0.0376  0.03
Rubinstein 1952   48  0.5032  0.0060  0.0557  0.0542  0.1354  0.08
Rubinstein 1966   26  0.5845  0.0030  0.0531  0.1720  0.4125  0.26
Schilhawsky 1960   60  0.4487  0.0062  0.0465  0.0455  0.0569  0.04
Shebanova 2002   44  0.5280  0.0054  0.0648  0.0658  0.0661  0.06
Smith 1975   20  0.6074  0.0022  0.0920  0.3732  0.2621  0.31
Sokolov 2002   17  0.6152  0.0031  0.0525  0.2133  0.2827  0.24
Sztompka 1959   14  0.6240  0.0016  0.0913  0.468  0.5010  0.48
Tomsic 1995   6  0.6657  0.0011  0.116  0.5210  0.496  0.50
Uninsky 1932   42  0.5324  0.0135  0.0536  0.1420  0.3234  0.21
Uninsky 1971   13  0.637  0.0214  0.149  0.5010  0.517  0.50
Wasowski 1980   63  0.4354  0.0072  0.0377  0.0357  0.0566  0.04
Zak 1937   45  0.5247  0.0029  0.0538  0.1330  0.2936  0.19
Zak 1951   40  0.538  0.0225  0.0828  0.1925  0.3326  0.25
Average   2  0.7511  0.022  0.362  0.7131  0.2715  0.44
Random 1   91  -0.0662  0.0091  0.0191  0.0177  0.0389  0.02
Random 2   89  -0.0275  0.0089  0.0289  0.0244  0.1070  0.04
Random 3   90  -0.0283  0.0090  0.0190  0.0150  0.0491  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).