Sztompka 1959

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   42  0.3816  0.0125  0.0831  0.3415  0.5126  0.42
Anderszewski 2003   70  0.3169  0.0044  0.0644  0.1240  0.2443  0.17
Ashkenazy 1981   8  0.5017  0.0113  0.1812  0.6113  0.628  0.61
Bacha 2000   82  0.2480  0.0081  0.0482  0.0467  0.0472  0.04
Badura 1965   76  0.2970  0.0072  0.0470  0.0457  0.0481  0.04
Barbosa 1983   40  0.3830  0.0039  0.0737  0.2839  0.2037  0.24
Biret 1990   83  0.2381  0.0084  0.0476  0.0482  0.0387  0.03
Blet 2003   46  0.3727  0.0056  0.0564  0.0541  0.1757  0.09
Block 1995   24  0.4111  0.0116  0.1617  0.559  0.6111  0.58
Blumental 1952   56  0.3432  0.0045  0.0745  0.0739  0.1754  0.11
Boshniakovich 1969   31  0.4041  0.0037  0.0832  0.3340  0.1738  0.24
Brailowsky 1960   79  0.2577  0.0077  0.0480  0.0468  0.0574  0.04
Bunin 1987   50  0.3618  0.0061  0.0560  0.0548  0.0669  0.05
Bunin 1987b   55  0.3420  0.0062  0.0558  0.0551  0.0566  0.05
Chiu 1999   27  0.4137  0.0030  0.0634  0.3222  0.3029  0.31
Cohen 1997   69  0.3143  0.0074  0.0474  0.0455  0.0584  0.04
Cortot 1951   60  0.3365  0.0047  0.0746  0.0715  0.5442  0.19
Csalog 1996   75  0.2948  0.0076  0.0565  0.0565  0.0567  0.05
Czerny 1949   49  0.3649  0.0058  0.0566  0.0535  0.3550  0.13
Czerny 1990   1  0.631  0.571  0.571  0.881  0.861  0.87
Duchoud 2007   74  0.2973  0.0075  0.0467  0.0463  0.0580  0.04
Ezaki 2006   63  0.3271  0.0068  0.0478  0.0461  0.0571  0.04
Falvay 1989   58  0.3378  0.0071  0.0475  0.0470  0.0575  0.04
Farrell 1958   43  0.3856  0.0041  0.0742  0.2223  0.3734  0.29
Ferenczy 1958   87  0.1642  0.0087  0.0384  0.0375  0.0486  0.03
Fliere 1977   4  0.5535  0.004  0.183  0.7912  0.585  0.68
Fou 1978   15  0.4734  0.0018  0.1614  0.5819  0.5015  0.54
Francois 1956   77  0.2884  0.0079  0.0481  0.0465  0.0485  0.04
Friedman 1923   33  0.4031  0.0027  0.0926  0.3814  0.6020  0.48
Friedman 1923b   30  0.405  0.0123  0.0823  0.429  0.6418  0.52
Friedman 1930   44  0.3846  0.0038  0.0740  0.2426  0.3832  0.30
Garcia 2007   64  0.3287  0.0046  0.0748  0.0725  0.3346  0.15
Garcia 2007b   51  0.3550  0.0049  0.0557  0.0527  0.2751  0.12
Gierzod 1998   48  0.3653  0.0040  0.0939  0.2538  0.1639  0.20
Gornostaeva 1994   54  0.3567  0.0065  0.0563  0.0553  0.0670  0.05
Groot 1988   21  0.4238  0.0021  0.1121  0.4727  0.3627  0.41
Harasiewicz 1955   12  0.497  0.016  0.178  0.6719  0.4814  0.57
Hatto 1993   29  0.4113  0.0114  0.1216  0.5625  0.3821  0.46
Hatto 1997   57  0.3414  0.0133  0.0638  0.2639  0.1441  0.19
Horowitz 1949   36  0.3924  0.0052  0.0559  0.0523  0.5044  0.16
Indjic 1988   35  0.394  0.0215  0.1219  0.5127  0.3824  0.44
Kapell 1951   23  0.4163  0.0031  0.0728  0.3870  0.0548  0.14
Kissin 1993   3  0.5612  0.013  0.382  0.793  0.852  0.82
Kushner 1989   7  0.5119  0.0012  0.2110  0.6619  0.4516  0.54
Luisada 1991   34  0.4085  0.0055  0.0561  0.0547  0.0861  0.06
Lushtak 2004   67  0.3144  0.0069  0.0477  0.0469  0.0482  0.04
Malcuzynski 1961   10  0.506  0.0111  0.1811  0.6416  0.5112  0.57
Magaloff 1978   19  0.4322  0.0036  0.0935  0.3233  0.2535  0.28
Magin 1975   38  0.3947  0.0059  0.0649  0.0648  0.0662  0.06
Michalowski 1933   71  0.3164  0.0063  0.0471  0.0428  0.3353  0.11
Milkina 1970   52  0.3562  0.0042  0.1041  0.2342  0.1540  0.19
Mohovich 1999   68  0.3123  0.0057  0.0651  0.0651  0.0568  0.05
Moravec 1969   26  0.4151  0.0034  0.0629  0.3731  0.3128  0.34
Morozova 2008   13  0.483  0.099  0.1713  0.6012  0.5413  0.57
Neighaus 1950   14  0.4715  0.0117  0.1715  0.584  0.6010  0.59
Niedzielski 1931   28  0.4121  0.0028  0.0824  0.3911  0.5122  0.45
Ohlsson 1999   20  0.439  0.0129  0.0730  0.3734  0.2531  0.30
Osinska 1989   66  0.3254  0.0070  0.0562  0.0578  0.0373  0.04
Pachmann 1927   62  0.3329  0.0073  0.0468  0.0458  0.0578  0.04
Paderewski 1930   45  0.3845  0.0032  0.0636  0.308  0.6125  0.43
Perlemuter 1992   16  0.4652  0.0024  0.0825  0.393  0.6419  0.50
Pierdomenico 2008   39  0.3961  0.0053  0.0653  0.0624  0.3745  0.15
Poblocka 1999   9  0.508  0.018  0.205  0.724  0.656  0.68
Rabcewiczowa 1932   59  0.3336  0.0050  0.0654  0.0646  0.0763  0.06
Rachmaninoff 1923   25  0.4133  0.0020  0.0918  0.5110  0.5517  0.53
Rangell 2001   37  0.3939  0.0048  0.0747  0.0735  0.3447  0.15
Richter 1976   2  0.592  0.162  0.324  0.786  0.753  0.76
Rosen 1989   22  0.4275  0.0035  0.0733  0.3345  0.0649  0.14
Rosenthal 1930   47  0.3766  0.0043  0.0843  0.1618  0.5833  0.30
Rosenthal 1931   84  0.2058  0.0082  0.0383  0.0352  0.0679  0.04
Rosenthal 1931b   85  0.1755  0.0085  0.0386  0.0359  0.0489  0.03
Rosenthal 1931c   73  0.3086  0.0067  0.0479  0.0441  0.1658  0.08
Rosenthal 1931d   86  0.1782  0.0086  0.0385  0.0375  0.0388  0.03
Rossi 2007   80  0.2568  0.0080  0.0473  0.0432  0.2852  0.11
Rubinstein 1939   53  0.3572  0.0051  0.0650  0.0643  0.0859  0.07
Rubinstein 1952   17  0.4526  0.0019  0.0922  0.4730  0.4323  0.45
Rubinstein 1966   18  0.4459  0.0022  0.1020  0.4838  0.1536  0.27
Schilhawsky 1960   72  0.3157  0.0060  0.0556  0.0542  0.1160  0.07
Shebanova 2002   6  0.5228  0.0010  0.159  0.6713  0.549  0.60
Smith 1975   65  0.3279  0.0066  0.0555  0.0553  0.0665  0.05
Sokolov 2002   61  0.3383  0.0064  0.0469  0.0446  0.0664  0.05
Sztompka 1959   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Tomsic 1995   41  0.3840  0.0054  0.0652  0.0643  0.1356  0.09
Uninsky 1932   11  0.4925  0.007  0.156  0.706  0.694  0.69
Uninsky 1971   32  0.4060  0.0026  0.0927  0.3834  0.2630  0.31
Wasowski 1980   5  0.5310  0.015  0.277  0.678  0.607  0.63
Zak 1937   78  0.2889  0.0078  0.0472  0.0469  0.0476  0.04
Zak 1951   81  0.2474  0.0083  0.0387  0.0361  0.0577  0.04
Random 1   88  0.0276  0.0088  0.0288  0.0210  0.4755  0.10
Random 2   89  0.0090  0.0089  0.0189  0.0151  0.0590  0.02
Random 3   90  -0.0188  0.0090  0.0190  0.0138  0.1683  0.04

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).