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   47  0.5989  0.0059  0.0562  0.0561  0.0483  0.04
Ashkenazy 1981   24  0.6640  0.0022  0.1224  0.449  0.5218  0.48
Bacha 2000   66  0.5126  0.0063  0.0553  0.0527  0.2660  0.11
Badura 1965   30  0.645  0.0235  0.0737  0.258  0.5834  0.38
Barbosa 1983   83  0.4413  0.0171  0.0471  0.0464  0.0581  0.04
Biret 1990   32  0.647  0.0231  0.0927  0.4223  0.3832  0.40
Blet 2003   52  0.5758  0.0054  0.0556  0.0514  0.4152  0.14
Block 1995   72  0.4969  0.0064  0.0557  0.0571  0.0486  0.04
Blumental 1952   33  0.6411  0.0113  0.0925  0.4211  0.4625  0.44
Boshniakovich 1969   17  0.6751  0.0023  0.1528  0.4024  0.4726  0.43
Brailowsky 1960   68  0.5175  0.0078  0.0380  0.0346  0.1076  0.05
Bunin 1987   85  0.4286  0.0085  0.0289  0.0235  0.2374  0.07
Bunin 1987b   86  0.4187  0.0086  0.0376  0.0337  0.2566  0.09
Chiu 1999   49  0.5841  0.0058  0.0558  0.0522  0.2957  0.12
Cohen 1997   87  0.3970  0.0088  0.0469  0.0455  0.0587  0.04
Cortot 1951   74  0.4833  0.0077  0.0385  0.0336  0.2570  0.09
Csalog 1996   79  0.4542  0.0072  0.0466  0.0465  0.0482  0.04
Czerny 1949   26  0.6661  0.0019  0.1017  0.4824  0.4917  0.48
Czerny 1990   22  0.6662  0.0026  0.0726  0.4227  0.3931  0.40
Duchoud 2007   71  0.5022  0.0061  0.0552  0.058  0.4948  0.16
Ezaki 2006   25  0.6628  0.0034  0.0638  0.2124  0.3939  0.29
Falvay 1989   70  0.5034  0.0079  0.0382  0.0350  0.0877  0.05
Farrell 1958   55  0.5624  0.0051  0.0465  0.0441  0.2265  0.09
Ferenczy 1958   63  0.5346  0.0062  0.0468  0.0428  0.3558  0.12
Fliere 1977   4  0.7436  0.007  0.168  0.5816  0.4813  0.53
Fou 1978   20  0.6719  0.0028  0.1030  0.3817  0.4728  0.42
Francois 1956   56  0.5563  0.0057  0.0559  0.0522  0.4750  0.15
Friedman 1923   35  0.6338  0.0038  0.0636  0.2610  0.5435  0.37
Friedman 1923b   31  0.6459  0.0032  0.0732  0.359  0.5823  0.45
Friedman 1930   39  0.6264  0.0041  0.0740  0.1914  0.5238  0.31
Garcia 2007   58  0.5588  0.0060  0.0747  0.0727  0.4147  0.17
Garcia 2007b   50  0.5876  0.0047  0.0748  0.0726  0.3849  0.16
Gierzod 1998   3  0.742  0.062  0.402  0.699  0.652  0.67
Gornostaeva 1994   57  0.5577  0.0056  0.0564  0.0537  0.1669  0.09
Groot 1988   54  0.5616  0.0149  0.0554  0.0517  0.3854  0.14
Harasiewicz 1955   10  0.6952  0.0021  0.1018  0.4827  0.4819  0.48
Hatto 1993   19  0.6749  0.0016  0.1616  0.4818  0.3927  0.43
Hatto 1997   15  0.6872  0.0018  0.1120  0.4619  0.3930  0.42
Horowitz 1949   44  0.5927  0.0046  0.0749  0.073  0.6044  0.20
Indjic 1988   11  0.6880  0.0015  0.1115  0.4916  0.4320  0.46
Kapell 1951   59  0.5484  0.0055  0.0651  0.0653  0.0675  0.06
Kissin 1993   2  0.7514  0.013  0.263  0.636  0.693  0.66
Kushner 1989   36  0.6271  0.0048  0.0846  0.0855  0.0673  0.07
Luisada 1991   6  0.7215  0.0112  0.2010  0.574  0.694  0.63
Lushtak 2004   64  0.5390  0.0069  0.0467  0.0471  0.0485  0.04
Malcuzynski 1961   61  0.5425  0.0053  0.0555  0.0531  0.1867  0.09
Magaloff 1978   53  0.5717  0.0050  0.0650  0.0621  0.3451  0.14
Magin 1975   8  0.718  0.024  0.115  0.625  0.617  0.61
Michalowski 1933   42  0.6039  0.0037  0.0735  0.273  0.6629  0.42
Milkina 1970   18  0.6743  0.0020  0.1014  0.5024  0.4716  0.48
Mohovich 1999   43  0.5929  0.0044  0.0644  0.1332  0.3742  0.22
Moravec 1969   77  0.4748  0.0080  0.0377  0.0346  0.0678  0.04
Morozova 2008   34  0.6437  0.0029  0.1031  0.3520  0.4233  0.38
Neighaus 1950   27  0.6654  0.0027  0.0821  0.4514  0.5414  0.49
Niedzielski 1931   41  0.6067  0.0036  0.0733  0.279  0.4936  0.36
Ohlsson 1999   16  0.679  0.0110  0.159  0.585  0.629  0.60
Osinska 1989   37  0.6223  0.0033  0.0734  0.2742  0.1445  0.19
Pachmann 1927   75  0.4874  0.0087  0.0379  0.0335  0.2472  0.08
Paderewski 1930   65  0.5165  0.0074  0.0475  0.0422  0.4056  0.13
Perlemuter 1992   38  0.6247  0.0042  0.0741  0.158  0.5740  0.29
Pierdomenico 2008   76  0.4860  0.0066  0.0474  0.0424  0.4055  0.13
Poblocka 1999   21  0.6644  0.0017  0.0919  0.4716  0.5015  0.48
Rabcewiczowa 1932   51  0.5778  0.0043  0.0742  0.1427  0.2843  0.20
Rachmaninoff 1923   14  0.684  0.038  0.157  0.592  0.655  0.62
Rangell 2001   88  0.3881  0.0084  0.0286  0.0269  0.0489  0.03
Richter 1976   40  0.6253  0.0045  0.0645  0.1226  0.4841  0.24
Rosen 1989   12  0.6818  0.0014  0.0913  0.537  0.6111  0.57
Rosenthal 1930   69  0.5066  0.0067  0.0470  0.0416  0.5253  0.14
Rosenthal 1931   82  0.4457  0.0082  0.0472  0.0429  0.2763  0.10
Rosenthal 1931b   80  0.4482  0.0081  0.0384  0.0323  0.3664  0.10
Rosenthal 1931c   78  0.4685  0.0073  0.0378  0.0328  0.3762  0.11
Rosenthal 1931d   81  0.4455  0.0076  0.0383  0.0321  0.4759  0.12
Rossi 2007   67  0.5145  0.0075  0.0381  0.0337  0.2471  0.08
Rubinstein 1939   60  0.5430  0.0068  0.0560  0.0562  0.0479  0.04
Rubinstein 1952   73  0.4910  0.0165  0.0473  0.0461  0.0588  0.04
Rubinstein 1966   62  0.5479  0.0070  0.0563  0.0575  0.0484  0.04
Schilhawsky 1960   5  0.7231  0.005  0.146  0.615  0.618  0.61
Shebanova 2002   7  0.7112  0.016  0.174  0.637  0.616  0.62
Smith 1975   48  0.5821  0.0052  0.0561  0.0534  0.2361  0.11
Sokolov 2002   45  0.5920  0.0040  0.0639  0.209  0.5137  0.32
Sztompka 1959   9  0.706  0.0211  0.1711  0.5715  0.5710  0.57
Tomsic 1995   84  0.4356  0.0083  0.0287  0.0250  0.0880  0.04
Uninsky 1932   29  0.6568  0.0030  0.1029  0.3913  0.5222  0.45
Uninsky 1971   13  0.683  0.049  0.1612  0.5416  0.5812  0.56
Wasowski 1980   46  0.5950  0.0039  0.0643  0.1335  0.2646  0.18
Zak 1937   23  0.6635  0.0025  0.0823  0.4521  0.4424  0.44
Zak 1951   28  0.6532  0.0024  0.0622  0.4517  0.4621  0.45
Average   1  0.821  0.651  0.641  0.8410  0.591  0.70
Random 1   91  -0.1373  0.0091  0.0191  0.0168  0.0390  0.02
Random 2   89  -0.0183  0.0089  0.0288  0.0211  0.4368  0.09
Random 3   90  -0.1091  0.0090  0.0190  0.0167  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).