Sztompka 1959

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   64  0.3324  0.0067  0.0470  0.0453  0.0573  0.04
Anderszewski 2003   23  0.487  0.047  0.1715  0.5922  0.4912  0.54
Ashkenazy 1981   38  0.4119  0.0148  0.0549  0.0534  0.2144  0.10
Bacha 2000   65  0.3374  0.0066  0.0463  0.0441  0.1848  0.08
Badura 1965   77  0.2953  0.0072  0.0555  0.0561  0.0564  0.05
Barbosa 1983   18  0.4982  0.0021  0.1821  0.5336  0.2225  0.34
Biret 1990   53  0.3728  0.0035  0.0736  0.2860  0.0541  0.12
Blet 2003   67  0.3371  0.0070  0.0559  0.0559  0.0562  0.05
Block 1995   51  0.3775  0.0036  0.0934  0.3132  0.2631  0.28
Blumental 1952   45  0.3917  0.0137  0.0839  0.2259  0.0642  0.11
Boshniakovich 1969   22  0.4863  0.0020  0.1419  0.5535  0.2224  0.35
Brailowsky 1960   46  0.3960  0.0041  0.0937  0.2337  0.2533  0.24
Bunin 1987   73  0.3072  0.0080  0.0382  0.0384  0.0383  0.03
Bunin 1987b   78  0.2752  0.0081  0.0384  0.0372  0.0479  0.03
Chiu 1999   58  0.3646  0.0057  0.0473  0.0458  0.0567  0.04
Cohen 1997   76  0.2976  0.0076  0.0475  0.0466  0.0476  0.04
Cortot 1951   30  0.4320  0.0117  0.1223  0.475  0.6710  0.56
Csalog 1996   80  0.2577  0.0079  0.0380  0.0368  0.0480  0.03
Czerny 1949   1  0.642  0.112  0.172  0.789  0.702  0.74
Czerny 1990   2  0.631  0.341  0.331  0.7913  0.693  0.74
Duchoud 2007   85  0.2188  0.0085  0.0385  0.0371  0.0381  0.03
Ezaki 2006   33  0.4383  0.0046  0.0745  0.0754  0.0656  0.06
Falvay 1989   34  0.4378  0.0051  0.0464  0.0461  0.0469  0.04
Farrell 1958   20  0.4923  0.0019  0.1612  0.6314  0.567  0.59
Ferenczy 1958   62  0.3484  0.0074  0.0548  0.0545  0.0955  0.07
Fliere 1977   26  0.4568  0.0030  0.0927  0.4362  0.0537  0.15
Fou 1978   19  0.4926  0.0013  0.1416  0.5715  0.4514  0.51
Francois 1956   43  0.4036  0.0043  0.0542  0.1125  0.3035  0.18
Friedman 1923   71  0.3248  0.0061  0.0468  0.0460  0.0577  0.04
Friedman 1923b   69  0.3214  0.0156  0.0554  0.0540  0.1847  0.09
Friedman 1930   72  0.3161  0.0062  0.0553  0.0553  0.0663  0.05
Garcia 2007   70  0.3279  0.0065  0.0465  0.0440  0.1752  0.08
Garcia 2007b   60  0.3435  0.0055  0.0556  0.0558  0.0565  0.05
Gierzod 1998   6  0.5721  0.0110  0.1514  0.5934  0.3318  0.44
Gornostaeva 1994   41  0.4032  0.0059  0.0466  0.0473  0.0384  0.03
Groot 1988   81  0.2554  0.0069  0.0472  0.0480  0.0386  0.03
Harasiewicz 1955   5  0.594  0.084  0.2111  0.6323  0.548  0.58
Hatto 1993   48  0.3834  0.0022  0.1128  0.4140  0.1932  0.28
Hatto 1997   54  0.3730  0.0026  0.1031  0.3742  0.1034  0.19
Horowitz 1949   68  0.3264  0.0075  0.0561  0.0541  0.1450  0.08
Indjic 1988   49  0.3810  0.0223  0.1429  0.4138  0.2029  0.29
Kapell 1951   21  0.4939  0.0024  0.1020  0.5339  0.2026  0.33
Kissin 1993   3  0.619  0.023  0.203  0.763  0.771  0.76
Kushner 1989   7  0.5615  0.018  0.174  0.7029  0.3615  0.50
Luisada 1991   56  0.3647  0.0071  0.0562  0.0557  0.0558  0.05
Lushtak 2004   29  0.4444  0.0031  0.0832  0.3646  0.0638  0.15
Malcuzynski 1961   15  0.5313  0.0118  0.1218  0.5636  0.2920  0.40
Magaloff 1978   37  0.4143  0.0039  0.0740  0.2150  0.0740  0.12
Magin 1975   40  0.4111  0.0247  0.0474  0.0480  0.0378  0.03
Michalowski 1933   84  0.2255  0.0082  0.0381  0.0343  0.0961  0.05
Milkina 1970   8  0.5531  0.0011  0.1713  0.6233  0.3216  0.45
Mohovich 1999   55  0.3750  0.0049  0.0469  0.0483  0.0382  0.03
Moravec 1969   52  0.3781  0.0064  0.0550  0.0571  0.0466  0.04
Morozova 2008   17  0.5025  0.0027  0.0925  0.4731  0.2723  0.36
Neighaus 1950   12  0.5412  0.0216  0.146  0.681  0.734  0.70
Niedzielski 1931   61  0.3442  0.0060  0.0547  0.0536  0.1449  0.08
Ohlsson 1999   28  0.4518  0.0132  0.0933  0.3436  0.2628  0.30
Osinska 1989   25  0.4780  0.0025  0.1024  0.4753  0.0636  0.17
Pachmann 1927   82  0.2556  0.0084  0.0286  0.0263  0.0389  0.02
Paderewski 1930   63  0.3451  0.0038  0.0641  0.208  0.5327  0.33
Perlemuter 1992   39  0.4162  0.0054  0.0557  0.0531  0.2739  0.12
Pierdomenico 2008   66  0.3385  0.0073  0.0467  0.0459  0.0570  0.04
Poblocka 1999   14  0.538  0.039  0.158  0.6620  0.479  0.56
Rabcewiczowa 1932   42  0.4057  0.0040  0.0838  0.2266  0.0446  0.09
Rachmaninoff 1923   75  0.3038  0.0068  0.0478  0.0454  0.0568  0.04
Rangell 2001   16  0.5165  0.0028  0.1126  0.4421  0.4419  0.44
Richter 1976   4  0.603  0.095  0.257  0.6610  0.635  0.64
Rosen 1989   36  0.4245  0.0050  0.0560  0.0560  0.0475  0.04
Rosenthal 1930   74  0.3058  0.0077  0.0476  0.0454  0.0574  0.04
Rosenthal 1931   83  0.2466  0.0083  0.0477  0.0452  0.0572  0.04
Rosenthal 1931b   86  0.1969  0.0086  0.0379  0.0365  0.0487  0.03
Rosenthal 1931c   79  0.2689  0.0078  0.0287  0.0273  0.0488  0.03
Rosenthal 1931d   87  0.1886  0.0087  0.0383  0.0372  0.0485  0.03
Rossi 2007   59  0.3559  0.0058  0.0471  0.0441  0.1154  0.07
Rubinstein 1939   24  0.4770  0.0029  0.1322  0.4831  0.3221  0.39
Rubinstein 1952   10  0.555  0.0615  0.139  0.6433  0.3117  0.45
Rubinstein 1966   9  0.5516  0.0112  0.185  0.6934  0.3913  0.52
Schilhawsky 1960   27  0.4533  0.0033  0.1130  0.3840  0.2130  0.28
Shebanova 2002   32  0.4367  0.0044  0.0543  0.1151  0.0651  0.08
Smith 1975   50  0.3841  0.0042  0.0544  0.1047  0.0845  0.09
Sokolov 2002   47  0.3929  0.0052  0.0558  0.0547  0.0659  0.05
Sztompka 1959   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Tomsic 1995   57  0.3649  0.0063  0.0552  0.0569  0.0560  0.05
Uninsky 1932   31  0.4340  0.0034  0.0935  0.3025  0.4922  0.38
Uninsky 1971   13  0.5437  0.0014  0.1610  0.6310  0.596  0.61
Wasowski 1980   11  0.556  0.046  0.1317  0.5710  0.5411  0.55
Zak 1937   35  0.4227  0.0045  0.0646  0.0648  0.0657  0.06
Zak 1951   44  0.3922  0.0153  0.0551  0.0585  0.0371  0.04
Random 1   89  0.0090  0.0089  0.0289  0.0222  0.3253  0.08
Random 2   88  0.0187  0.0090  0.0190  0.0173  0.0390  0.02
Random 3   90  0.0073  0.0088  0.0288  0.027  0.4643  0.10

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).