Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   15  0.538  0.0225  0.0924  0.3062  0.0434  0.11
Anderszewski 2003   58  0.4221  0.0042  0.0642  0.1365  0.0448  0.07
Ashkenazy 1981   42  0.4714  0.0121  0.0822  0.3375  0.0435  0.11
Bacha 2000   54  0.4341  0.0056  0.0457  0.0453  0.0650  0.05
Badura 1965   70  0.3713  0.0167  0.0466  0.0461  0.0566  0.04
Barbosa 1983   57  0.4364  0.0059  0.0456  0.0454  0.0562  0.04
Biret 1990   26  0.5156  0.0015  0.0615  0.4137  0.1618  0.26
Blet 2003   52  0.4458  0.0068  0.0467  0.0471  0.0463  0.04
Block 1995   64  0.4166  0.0070  0.0378  0.0356  0.0483  0.03
Blumental 1952   10  0.552  0.242  0.392  0.702  0.653  0.67
Boshniakovich 1969   71  0.3784  0.0081  0.0385  0.0385  0.0384  0.03
Brailowsky 1960   33  0.4829  0.0044  0.0544  0.1038  0.2326  0.15
Bunin 1987   78  0.3330  0.0086  0.0474  0.0480  0.0385  0.03
Bunin 1987b   79  0.3265  0.0085  0.0387  0.0379  0.0374  0.03
Chiu 1999   63  0.4154  0.0036  0.0735  0.1842  0.1524  0.16
Cohen 1997   77  0.3324  0.0078  0.0548  0.0545  0.0654  0.05
Cortot 1951   44  0.4678  0.0049  0.0461  0.0423  0.3632  0.12
Csalog 1996   22  0.5148  0.0031  0.0637  0.1724  0.4017  0.26
Czerny 1949   7  0.577  0.027  0.203  0.6624  0.416  0.52
Czerny 1990   1  0.661  0.381  0.371  0.786  0.671  0.72
Duchoud 2007   67  0.4046  0.0077  0.0465  0.0460  0.0465  0.04
Ezaki 2006   16  0.5326  0.0017  0.0712  0.4547  0.0722  0.18
Falvay 1989   2  0.613  0.073  0.166  0.6114  0.534  0.57
Farrell 1958   41  0.4747  0.0052  0.0458  0.0459  0.0556  0.04
Ferenczy 1958   49  0.4522  0.0012  0.0741  0.1445  0.0740  0.10
Fliere 1977   27  0.5079  0.0040  0.0538  0.1762  0.0444  0.08
Fou 1978   45  0.4632  0.0043  0.0543  0.1166  0.0547  0.07
Francois 1956   17  0.5371  0.0033  0.0830  0.2346  0.0633  0.12
Friedman 1923   87  0.2287  0.0084  0.0379  0.0361  0.0571  0.04
Friedman 1923b   86  0.2249  0.0083  0.0383  0.0363  0.0568  0.04
Friedman 1930   82  0.3155  0.0069  0.0381  0.0364  0.0564  0.04
Garcia 2007   80  0.3190  0.0079  0.0384  0.0385  0.0381  0.03
Garcia 2007b   85  0.2580  0.0080  0.0386  0.0375  0.0488  0.03
Gierzod 1998   13  0.5325  0.0022  0.0818  0.3953  0.0527  0.14
Gornostaeva 1994   28  0.4923  0.0039  0.0540  0.1643  0.1228  0.14
Groot 1988   30  0.4942  0.0058  0.0645  0.0684  0.0369  0.04
Harasiewicz 1955   50  0.4520  0.0030  0.0728  0.2865  0.0436  0.11
Hatto 1993   76  0.3468  0.0053  0.0460  0.0484  0.0387  0.03
Hatto 1997   72  0.3638  0.0054  0.0462  0.0485  0.0380  0.03
Horowitz 1949   37  0.4751  0.0060  0.0549  0.0543  0.1346  0.08
Indjic 1988   75  0.3582  0.0055  0.0455  0.0486  0.0378  0.03
Kapell 1951   3  0.606  0.038  0.197  0.6042  0.1215  0.27
Kissin 1993   11  0.5534  0.0019  0.1010  0.4940  0.1516  0.27
Kushner 1989   9  0.5670  0.0016  0.0716  0.3944  0.1120  0.21
Luisada 1991   47  0.4540  0.0026  0.0734  0.1960  0.0537  0.10
Lushtak 2004   68  0.4059  0.0064  0.0380  0.0384  0.0382  0.03
Malcuzynski 1961   6  0.575  0.039  0.228  0.6028  0.2812  0.41
Magaloff 1978   20  0.5217  0.0034  0.0726  0.2945  0.0629  0.13
Magin 1975   61  0.4227  0.0041  0.0539  0.1661  0.0445  0.08
Michalowski 1933   81  0.3116  0.0072  0.0473  0.0465  0.0560  0.04
Milkina 1970   4  0.6012  0.016  0.215  0.6233  0.3010  0.43
Mohovich 1999   38  0.4762  0.0057  0.0546  0.0585  0.0367  0.04
Moravec 1969   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Morozova 2008   65  0.4189  0.0037  0.0633  0.2058  0.0539  0.10
Neighaus 1950   69  0.3988  0.0075  0.0453  0.0481  0.0470  0.04
Niedzielski 1931   5  0.5711  0.024  0.224  0.641  0.712  0.67
Ohlsson 1999   60  0.4237  0.0063  0.0377  0.0367  0.0477  0.03
Osinska 1989   8  0.5683  0.0018  0.0713  0.4460  0.0525  0.15
Pachmann 1927   83  0.3073  0.0087  0.0470  0.0486  0.0376  0.03
Paderewski 1930   55  0.4375  0.0051  0.0459  0.0465  0.0459  0.04
Perlemuter 1992   62  0.4267  0.0071  0.0464  0.0485  0.0372  0.03
Pierdomenico 2008   74  0.3650  0.0074  0.0472  0.0465  0.0555  0.04
Poblocka 1999   24  0.5143  0.0032  0.0836  0.1863  0.0542  0.09
Rabcewiczowa 1932   23  0.5157  0.0013  0.0617  0.3931  0.2114  0.29
Rachmaninoff 1923   21  0.524  0.065  0.239  0.5920  0.408  0.49
Rangell 2001   59  0.4228  0.0073  0.0376  0.0368  0.0486  0.03
Richter 1976   73  0.3669  0.0082  0.0469  0.0484  0.0375  0.03
Rosen 1989   39  0.4772  0.0045  0.0547  0.0562  0.0553  0.05
Rosenthal 1930   12  0.5415  0.0120  0.0914  0.427  0.627  0.51
Rosenthal 1931   43  0.4636  0.0014  0.0620  0.3413  0.589  0.44
Rosenthal 1931b   48  0.4576  0.0027  0.0727  0.2913  0.5513  0.40
Rosenthal 1931c   14  0.5318  0.0010  0.0811  0.4813  0.605  0.54
Rosenthal 1931d   35  0.4833  0.0028  0.0825  0.3010  0.6011  0.42
Rossi 2007   84  0.3060  0.0076  0.0468  0.0434  0.2043  0.09
Rubinstein 1939   66  0.4131  0.0061  0.0375  0.0340  0.1349  0.06
Rubinstein 1952   18  0.5210  0.0229  0.0723  0.3142  0.1519  0.22
Rubinstein 1966   34  0.4835  0.0046  0.0550  0.0560  0.0652  0.05
Schilhawsky 1960   56  0.4361  0.0062  0.0463  0.0482  0.0379  0.03
Shebanova 2002   25  0.5139  0.0023  0.0819  0.3670  0.0530  0.13
Smith 1975   29  0.4919  0.0024  0.0821  0.3460  0.0431  0.12
Sokolov 2002   53  0.4444  0.0047  0.0452  0.0472  0.0373  0.03
Sztompka 1959   32  0.4945  0.0011  0.0632  0.2164  0.0538  0.10
Tomsic 1995   46  0.4653  0.0065  0.0382  0.0361  0.0558  0.04
Uninsky 1932   31  0.499  0.0235  0.0729  0.2444  0.1323  0.18
Uninsky 1971   51  0.4452  0.0066  0.0471  0.0461  0.0561  0.04
Wasowski 1980   19  0.5263  0.0038  0.0831  0.2135  0.1721  0.19
Zak 1937   36  0.4881  0.0048  0.0451  0.0446  0.0651  0.05
Zak 1951   40  0.4785  0.0050  0.0454  0.0455  0.0557  0.04
Random 1   90  -0.0974  0.0089  0.0189  0.0145  0.0589  0.02
Random 2   88  0.0077  0.0088  0.0288  0.023  0.5041  0.10
Random 3   89  -0.0586  0.0090  0.0190  0.0179  0.0290  0.01

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).