Sztompka 1959

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   3  0.7820  0.014  0.194  0.579  0.518  0.54
Anderszewski 2003   42  0.6340  0.0049  0.0847  0.0827  0.2147  0.13
Ashkenazy 1981   17  0.7110  0.0217  0.1316  0.4419  0.4419  0.44
Bacha 2000   75  0.4964  0.0077  0.0476  0.0470  0.0469  0.04
Badura 1965   37  0.6425  0.0028  0.0635  0.2514  0.4030  0.32
Barbosa 1983   74  0.5032  0.0059  0.0474  0.0445  0.1061  0.06
Biret 1990   31  0.6642  0.0041  0.0742  0.1640  0.1644  0.16
Blet 2003   20  0.7159  0.0022  0.0618  0.419  0.4620  0.43
Block 1995   72  0.5165  0.0044  0.0643  0.1642  0.1148  0.13
Blumental 1952   54  0.5713  0.0211  0.1129  0.295  0.4128  0.34
Boshniakovich 1969   39  0.6468  0.0053  0.0660  0.0649  0.0664  0.06
Brailowsky 1960   78  0.4761  0.0083  0.0384  0.0381  0.0384  0.03
Bunin 1987   50  0.5938  0.0055  0.0946  0.0923  0.3543  0.18
Bunin 1987b   52  0.5890  0.0054  0.0655  0.0626  0.3646  0.15
Chiu 1999   79  0.4581  0.0078  0.0562  0.0569  0.0370  0.04
Cohen 1997   88  0.2779  0.0088  0.0478  0.0455  0.0480  0.04
Cortot 1951   5  0.773  0.106  0.167  0.541  0.721  0.62
Csalog 1996   84  0.3688  0.0081  0.0482  0.0480  0.0385  0.03
Czerny 1949   2  0.791  0.291  0.292  0.626  0.592  0.60
Czerny 1990   4  0.776  0.038  0.193  0.627  0.555  0.58
Duchoud 2007   32  0.6621  0.0134  0.0525  0.326  0.4525  0.38
Ezaki 2006   14  0.7280  0.0033  0.1032  0.2835  0.2034  0.24
Falvay 1989   77  0.4816  0.0179  0.0477  0.0468  0.0471  0.04
Farrell 1958   36  0.6527  0.0046  0.0751  0.0718  0.3145  0.15
Ferenczy 1958   23  0.6958  0.0016  0.1019  0.405  0.5017  0.45
Fliere 1977   11  0.7324  0.0032  0.0723  0.3442  0.1336  0.21
Fou 1978   56  0.5671  0.0066  0.0567  0.0584  0.0374  0.04
Francois 1956   29  0.6751  0.0031  0.0727  0.3114  0.4527  0.37
Friedman 1923   55  0.5657  0.0026  0.0731  0.285  0.5923  0.41
Friedman 1923b   58  0.5647  0.0025  0.0630  0.284  0.5922  0.41
Friedman 1930   38  0.6428  0.0024  0.0817  0.426  0.5213  0.47
Garcia 2007   48  0.5987  0.0048  0.0749  0.077  0.5240  0.19
Garcia 2007b   66  0.5483  0.0029  0.0539  0.213  0.5529  0.34
Gierzod 1998   10  0.7444  0.0014  0.1512  0.5113  0.4512  0.48
Gornostaeva 1994   34  0.6631  0.0043  0.0541  0.1830  0.2735  0.22
Groot 1988   46  0.605  0.0445  0.0645  0.1246  0.0753  0.09
Harasiewicz 1955   45  0.6254  0.0038  0.0637  0.2347  0.0552  0.11
Hatto 1993   73  0.5086  0.0057  0.0566  0.0566  0.0482  0.04
Hatto 1997   60  0.5573  0.0052  0.0658  0.0643  0.1055  0.08
Horowitz 1949   67  0.5353  0.0073  0.0480  0.0451  0.0576  0.04
Indjic 1988   69  0.5284  0.0056  0.0657  0.0673  0.0468  0.05
Kapell 1951   7  0.752  0.125  0.205  0.563  0.519  0.53
Kissin 1993   44  0.6249  0.0061  0.0473  0.0468  0.0478  0.04
Kushner 1989   18  0.7130  0.0036  0.0628  0.3029  0.2931  0.29
Luisada 1991   47  0.6050  0.0063  0.0750  0.0755  0.0558  0.06
Lushtak 2004   33  0.6656  0.0027  0.0633  0.2740  0.1341  0.19
Malcuzynski 1961   40  0.6329  0.0047  0.0656  0.0629  0.2251  0.11
Magaloff 1978   62  0.5533  0.0071  0.0661  0.0669  0.0466  0.05
Magin 1975   61  0.5552  0.0065  0.0471  0.0462  0.0473  0.04
Michalowski 1933   19  0.7117  0.013  0.166  0.561  0.633  0.59
Milkina 1970   49  0.598  0.0251  0.0654  0.0675  0.0467  0.05
Mohovich 1999   27  0.6811  0.0240  0.0936  0.2438  0.1838  0.21
Moravec 1969   70  0.5248  0.0068  0.0470  0.0448  0.0665  0.05
Morozova 2008   30  0.6722  0.0137  0.0926  0.3222  0.2632  0.29
Neighaus 1950   6  0.7626  0.0013  0.1211  0.5213  0.4314  0.47
Niedzielski 1931   64  0.5541  0.0058  0.0653  0.0632  0.2150  0.11
Ohlsson 1999   21  0.7069  0.0035  0.0534  0.2728  0.2633  0.26
Osinska 1989   12  0.7360  0.0018  0.0815  0.4614  0.4415  0.45
Pachmann 1927   80  0.4263  0.0082  0.0388  0.0359  0.0577  0.04
Paderewski 1930   25  0.6819  0.0119  0.0724  0.332  0.5121  0.41
Perlemuter 1992   26  0.6872  0.0030  0.0621  0.4015  0.4024  0.40
Pierdomenico 2008   68  0.5346  0.0070  0.0563  0.0547  0.0956  0.07
Poblocka 1999   9  0.7439  0.009  0.1414  0.489  0.4911  0.48
Rabcewiczowa 1932   8  0.7415  0.0212  0.109  0.543  0.616  0.57
Rachmaninoff 1923   43  0.6223  0.0142  0.0540  0.1932  0.1842  0.18
Rangell 2001   76  0.4935  0.0075  0.0469  0.0461  0.0481  0.04
Richter 1976   63  0.5562  0.0069  0.0564  0.0546  0.0860  0.06
Rosen 1989   35  0.6682  0.0050  0.0848  0.0855  0.0463  0.06
Rosenthal 1930   57  0.5677  0.0064  0.0652  0.0630  0.2449  0.12
Rosenthal 1931   82  0.3878  0.0080  0.0479  0.0462  0.0479  0.04
Rosenthal 1931b   83  0.3674  0.0084  0.0481  0.0478  0.0388  0.03
Rosenthal 1931c   71  0.5275  0.0072  0.0475  0.0466  0.0389  0.03
Rosenthal 1931d   85  0.3543  0.0085  0.0387  0.0377  0.0387  0.03
Rossi 2007   81  0.4236  0.0076  0.0385  0.0334  0.2054  0.08
Rubinstein 1939   87  0.3434  0.0087  0.0383  0.0354  0.0572  0.04
Rubinstein 1952   86  0.3466  0.0086  0.0386  0.0351  0.0683  0.04
Rubinstein 1966   65  0.5470  0.0074  0.0565  0.0546  0.0762  0.06
Schilhawsky 1960   24  0.6985  0.0023  0.0622  0.3626  0.3926  0.37
Shebanova 2002   28  0.677  0.0320  0.0638  0.2234  0.2037  0.21
Smith 1975   15  0.7218  0.0115  0.1010  0.524  0.567  0.54
Sokolov 2002   16  0.7112  0.0221  0.0620  0.406  0.4918  0.44
Sztompka 1959   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Tomsic 1995   59  0.5614  0.0267  0.0568  0.0566  0.0475  0.04
Uninsky 1932   13  0.739  0.027  0.208  0.542  0.654  0.59
Uninsky 1971   22  0.7076  0.0010  0.1313  0.5010  0.4810  0.49
Wasowski 1980   41  0.6337  0.0039  0.0744  0.1321  0.2739  0.19
Zak 1937   51  0.5855  0.0062  0.0659  0.0645  0.0857  0.07
Zak 1951   53  0.5845  0.0060  0.0472  0.0445  0.0959  0.06
Average   1  0.824  0.102  0.151  0.7231  0.2816  0.45
Random 1   91  -0.2089  0.0091  0.0191  0.0174  0.0391  0.02
Random 2   90  -0.1091  0.0090  0.0290  0.0276  0.0390  0.02
Random 3   89  -0.0567  0.0089  0.0289  0.0253  0.0586  0.03

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).