Sztompka 1959

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   31  0.436  0.0310  0.1618  0.5313  0.5719  0.55
Anderszewski 2003   82  0.1481  0.0075  0.0376  0.0372  0.0483  0.03
Ashkenazy 1981   6  0.598  0.025  0.205  0.7717  0.738  0.75
Bacha 2000   80  0.1582  0.0079  0.0382  0.0372  0.0479  0.03
Badura 1965   58  0.2883  0.0059  0.0653  0.0633  0.3151  0.14
Barbosa 1983   60  0.2723  0.0054  0.0655  0.0639  0.1758  0.10
Biret 1990   85  0.0962  0.0088  0.0190  0.0185  0.0291  0.01
Blet 2003   33  0.4284  0.0045  0.0646  0.1331  0.4145  0.23
Block 1995   20  0.467  0.0213  0.1717  0.5614  0.5918  0.57
Blumental 1952   57  0.2963  0.0052  0.0562  0.0534  0.2954  0.12
Boshniakovich 1969   52  0.3237  0.0057  0.0658  0.0645  0.1361  0.09
Brailowsky 1960   84  0.1156  0.0083  0.0384  0.0368  0.0481  0.03
Bunin 1987   35  0.4151  0.0023  0.1030  0.3916  0.5330  0.45
Bunin 1987b   36  0.4152  0.0024  0.1331  0.3917  0.5228  0.45
Chiu 1999   18  0.4672  0.0028  0.0923  0.4828  0.4426  0.46
Cohen 1997   54  0.3225  0.0056  0.0563  0.0557  0.0673  0.05
Cortot 1951   69  0.2385  0.0067  0.0471  0.0445  0.1167  0.07
Csalog 1996   50  0.3335  0.0058  0.0654  0.0641  0.1957  0.11
Czerny 1949   87  0.0873  0.0087  0.0287  0.0264  0.0586  0.03
Czerny 1990   3  0.622  0.192  0.303  0.813  0.871  0.84
Duchoud 2007   44  0.3728  0.0046  0.0750  0.0738  0.2153  0.12
Ezaki 2006   70  0.2248  0.0068  0.0378  0.0342  0.2063  0.08
Falvay 1989   67  0.2464  0.0074  0.0569  0.0560  0.0475  0.04
Farrell 1958   62  0.2786  0.0066  0.0661  0.0635  0.2752  0.13
Ferenczy 1958   90  -0.0168  0.0089  0.0288  0.0262  0.0585  0.03
Fliere 1977   1  0.653  0.123  0.332  0.837  0.822  0.82
Fou 1978   23  0.4532  0.0033  0.0928  0.4125  0.4232  0.41
Francois 1956   75  0.1674  0.0084  0.0380  0.0380  0.0289  0.02
Friedman 1923   14  0.4843  0.0021  0.2012  0.6016  0.6713  0.63
Friedman 1923b   13  0.4821  0.0020  0.1311  0.6116  0.7011  0.65
Friedman 1930   27  0.4444  0.0032  0.0929  0.4030  0.5227  0.46
Garcia 2007   53  0.3260  0.0037  0.1038  0.2927  0.4038  0.34
Garcia 2007b   46  0.3669  0.0050  0.1345  0.1322  0.5442  0.26
Gierzod 1998   77  0.1687  0.0062  0.0660  0.0651  0.0768  0.06
Gornostaeva 1994   56  0.2938  0.0043  0.0744  0.1445  0.1750  0.15
Groot 1988   5  0.6010  0.018  0.317  0.774  0.775  0.77
Harasiewicz 1955   42  0.3913  0.0142  0.0839  0.2632  0.2641  0.26
Hatto 1993   29  0.4330  0.0022  0.1021  0.5219  0.5324  0.52
Hatto 1997   55  0.3034  0.0053  0.0659  0.0641  0.1459  0.09
Horowitz 1949   21  0.4618  0.0030  0.0925  0.4615  0.6421  0.54
Indjic 1988   39  0.4075  0.0029  0.0827  0.4125  0.5029  0.45
Kapell 1951   48  0.3465  0.0051  0.0848  0.0857  0.0664  0.07
Kissin 1993   12  0.5114  0.0112  0.1810  0.6614  0.739  0.69
Kushner 1989   22  0.4531  0.0034  0.0937  0.3029  0.4036  0.35
Luisada 1991   30  0.4354  0.0041  0.0940  0.2431  0.3639  0.29
Lushtak 2004   71  0.1849  0.0078  0.0564  0.0577  0.0478  0.04
Malcuzynski 1961   17  0.4645  0.0027  0.0822  0.5016  0.5722  0.53
Magaloff 1978   28  0.4427  0.0026  0.0733  0.3726  0.4434  0.40
Magin 1975   45  0.3722  0.0047  0.0751  0.0731  0.4547  0.18
Michalowski 1933   43  0.3976  0.0044  0.0643  0.1528  0.4043  0.24
Milkina 1970   78  0.1557  0.0070  0.0474  0.0456  0.0577  0.04
Mohovich 1999   66  0.2641  0.0060  0.0657  0.0646  0.0965  0.07
Moravec 1969   24  0.4550  0.0018  0.1019  0.539  0.6515  0.59
Morozova 2008   16  0.474  0.0711  0.1820  0.5213  0.5223  0.52
Neighaus 1950   40  0.4039  0.0025  0.0734  0.3739  0.1840  0.26
Niedzielski 1931   15  0.4817  0.0115  0.1614  0.5713  0.5717  0.57
Ohlsson 1999   41  0.4046  0.0039  0.0842  0.2235  0.1846  0.20
Osinska 1989   73  0.1688  0.0082  0.0383  0.0376  0.0380  0.03
Pachmann 1927   37  0.4155  0.0040  0.0741  0.2322  0.5337  0.35
Paderewski 1930   34  0.4129  0.0035  0.1035  0.3420  0.5631  0.44
Perlemuter 1992   11  0.5140  0.0019  0.1016  0.566  0.7412  0.64
Pierdomenico 2008   25  0.4433  0.0036  0.1132  0.397  0.6325  0.50
Poblocka 1999   19  0.4626  0.0017  0.1215  0.574  0.6414  0.60
Rabcewiczowa 1932   64  0.2619  0.0063  0.0752  0.0733  0.3349  0.15
Rachmaninoff 1923   9  0.539  0.027  0.209  0.733  0.824  0.77
Rangell 2001   61  0.2761  0.0064  0.0567  0.0566  0.0574  0.05
Richter 1976   7  0.5811  0.019  0.308  0.7516  0.776  0.76
Rosen 1989   32  0.4247  0.0031  0.0826  0.4131  0.4233  0.41
Rosenthal 1930   26  0.4416  0.0114  0.1624  0.4610  0.6620  0.55
Rosenthal 1931   72  0.1766  0.0069  0.0473  0.0439  0.3056  0.11
Rosenthal 1931b   76  0.1689  0.0077  0.0566  0.0542  0.1562  0.09
Rosenthal 1931c   49  0.3442  0.0049  0.1047  0.1015  0.5644  0.24
Rosenthal 1931d   79  0.1577  0.0076  0.0375  0.0343  0.1766  0.07
Rossi 2007   81  0.1420  0.0071  0.0377  0.0320  0.3855  0.11
Rubinstein 1939   68  0.2390  0.0072  0.0472  0.0461  0.0476  0.04
Rubinstein 1952   47  0.3658  0.0048  0.0849  0.0824  0.4248  0.18
Rubinstein 1966   51  0.3391  0.0055  0.0568  0.0565  0.0572  0.05
Schilhawsky 1960   74  0.1670  0.0080  0.0381  0.0374  0.0484  0.03
Shebanova 2002   4  0.6012  0.014  0.234  0.8010  0.763  0.78
Smith 1975   65  0.2659  0.0073  0.0570  0.0562  0.0570  0.05
Sokolov 2002   59  0.2878  0.0065  0.0565  0.0546  0.0669  0.05
Sztompka 1959   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Tomsic 1995   38  0.4124  0.0038  0.1136  0.3311  0.4735  0.39
Uninsky 1932   8  0.565  0.046  0.246  0.774  0.747  0.75
Uninsky 1971   63  0.2636  0.0061  0.0656  0.0662  0.0571  0.05
Wasowski 1980   10  0.5215  0.0116  0.1313  0.5816  0.5916  0.58
Zak 1937   83  0.1367  0.0081  0.0379  0.0380  0.0382  0.03
Zak 1951   86  0.0971  0.0085  0.0285  0.0280  0.0388  0.02
Average   2  0.641  0.371  0.361  0.8513  0.5310  0.67
Random 1   88  0.0353  0.0086  0.0286  0.0212  0.3760  0.09
Random 2   89  0.0079  0.0090  0.0289  0.0254  0.0587  0.03
Random 3   91  -0.0280  0.0091  0.0191  0.0176  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).