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  0.857  0.035  0.174  0.547  0.4911  0.51
Anderszewski 2003   24  0.7542  0.0041  0.0535  0.178  0.3938  0.26
Ashkenazy 1981   13  0.7918  0.0110  0.098  0.492  0.616  0.55
Bacha 2000   58  0.6683  0.0062  0.0746  0.0719  0.2856  0.14
Badura 1965   44  0.7134  0.0053  0.0564  0.059  0.5449  0.16
Barbosa 1983   81  0.4770  0.0070  0.0471  0.0441  0.1075  0.06
Biret 1990   32  0.7333  0.0043  0.0637  0.1611  0.4736  0.27
Blet 2003   55  0.6747  0.0057  0.0652  0.0611  0.3854  0.15
Block 1995   60  0.6360  0.0037  0.0544  0.115  0.4341  0.22
Blumental 1952   65  0.6132  0.0048  0.0558  0.0518  0.2168  0.10
Boshniakovich 1969   15  0.7777  0.0020  0.1217  0.402  0.5813  0.48
Brailowsky 1960   59  0.6456  0.0069  0.0469  0.0441  0.1273  0.07
Bunin 1987   79  0.4879  0.0073  0.0377  0.0333  0.2472  0.08
Bunin 1987b   82  0.4766  0.0072  0.0475  0.0432  0.2465  0.10
Chiu 1999   70  0.5955  0.0066  0.0651  0.0646  0.0576  0.05
Cohen 1997   87  0.3678  0.0087  0.0474  0.0454  0.0479  0.04
Cortot 1951   43  0.7138  0.0049  0.0749  0.076  0.5145  0.19
Csalog 1996   85  0.4162  0.0071  0.0385  0.0359  0.0486  0.03
Czerny 1949   10  0.803  0.067  0.1712  0.4312  0.5216  0.47
Czerny 1990   23  0.7511  0.0230  0.0632  0.2413  0.3834  0.30
Duchoud 2007   56  0.6644  0.0047  0.0561  0.055  0.4855  0.15
Ezaki 2006   34  0.7288  0.0056  0.0555  0.0531  0.2264  0.10
Falvay 1989   84  0.4657  0.0086  0.0376  0.0368  0.0484  0.03
Farrell 1958   41  0.728  0.0226  0.0536  0.177  0.5233  0.30
Ferenczy 1958   64  0.6167  0.0065  0.0557  0.0527  0.2463  0.11
Fliere 1977   4  0.845  0.034  0.155  0.533  0.537  0.53
Fou 1978   14  0.7826  0.0016  0.1020  0.402  0.5712  0.48
Francois 1956   36  0.7228  0.0040  0.0542  0.135  0.5537  0.27
Friedman 1923   37  0.7268  0.0055  0.0472  0.0427  0.4061  0.13
Friedman 1923b   38  0.7273  0.0052  0.0566  0.0527  0.4158  0.14
Friedman 1930   40  0.7264  0.0058  0.0747  0.0724  0.4148  0.17
Garcia 2007   8  0.8229  0.0011  0.0916  0.412  0.659  0.52
Garcia 2007b   6  0.8324  0.016  0.186  0.532  0.692  0.60
Gierzod 1998   5  0.8420  0.012  0.172  0.575  0.583  0.57
Gornostaeva 1994   33  0.734  0.0638  0.0541  0.146  0.4540  0.25
Groot 1988   61  0.6316  0.0159  0.0650  0.0627  0.3160  0.14
Harasiewicz 1955   17  0.7735  0.0018  0.0914  0.4112  0.4321  0.42
Hatto 1993   53  0.6984  0.0036  0.0834  0.2218  0.3735  0.29
Hatto 1997   50  0.7189  0.0034  0.0531  0.2514  0.4232  0.32
Horowitz 1949   42  0.7174  0.0054  0.0565  0.0522  0.4552  0.15
Indjic 1988   47  0.7185  0.0035  0.0930  0.2515  0.4231  0.32
Kapell 1951   46  0.712  0.108  0.1510  0.446  0.4120  0.42
Kissin 1993   11  0.7912  0.0213  0.109  0.494  0.558  0.52
Kushner 1989   9  0.8114  0.0112  0.107  0.502  0.605  0.55
Luisada 1991   28  0.7459  0.0039  0.0539  0.1625  0.2542  0.20
Lushtak 2004   57  0.6640  0.0060  0.0559  0.0528  0.2067  0.10
Malcuzynski 1961   66  0.6013  0.0267  0.0554  0.0519  0.2862  0.12
Magaloff 1978   62  0.6265  0.0068  0.0556  0.0547  0.0874  0.06
Magin 1975   20  0.7730  0.0014  0.0915  0.416  0.5415  0.47
Michalowski 1933   18  0.7731  0.0023  0.0823  0.321  0.6218  0.45
Milkina 1970   16  0.7722  0.0129  0.0629  0.2614  0.4530  0.34
Mohovich 1999   30  0.7453  0.0045  0.0748  0.0713  0.4846  0.18
Moravec 1969   80  0.4848  0.0083  0.0287  0.0255  0.0582  0.03
Morozova 2008   26  0.7443  0.0028  0.0627  0.308  0.4824  0.38
Neighaus 1950   2  0.869  0.023  0.183  0.563  0.584  0.57
Niedzielski 1931   48  0.7149  0.0031  0.0733  0.2310  0.5029  0.34
Ohlsson 1999   7  0.8223  0.019  0.1311  0.444  0.6010  0.51
Osinska 1989   12  0.7915  0.0117  0.0918  0.407  0.5614  0.47
Pachmann 1927   67  0.6075  0.0077  0.0567  0.0529  0.2266  0.10
Paderewski 1930   54  0.6952  0.0061  0.0845  0.087  0.4544  0.19
Perlemuter 1992   29  0.7425  0.0132  0.0928  0.289  0.4627  0.36
Pierdomenico 2008   68  0.6041  0.0050  0.0568  0.0510  0.4551  0.15
Poblocka 1999   27  0.7458  0.0019  0.1013  0.4112  0.4819  0.44
Rabcewiczowa 1932   39  0.7217  0.0133  0.0640  0.157  0.4239  0.25
Rachmaninoff 1923   21  0.7719  0.0127  0.0722  0.3211  0.3828  0.35
Rangell 2001   71  0.5721  0.0163  0.0470  0.044  0.5159  0.14
Richter 1976   63  0.6210  0.0264  0.0560  0.0525  0.4353  0.15
Rosen 1989   19  0.7754  0.0025  0.0626  0.3114  0.4326  0.37
Rosenthal 1930   73  0.5645  0.0076  0.0473  0.0427  0.1871  0.08
Rosenthal 1931   75  0.5427  0.0078  0.0381  0.0331  0.2170  0.08
Rosenthal 1931b   74  0.5472  0.0079  0.0563  0.0531  0.1869  0.09
Rosenthal 1931c   78  0.5063  0.0081  0.0383  0.0345  0.0580  0.04
Rosenthal 1931d   76  0.5246  0.0080  0.0379  0.0344  0.0978  0.05
Rossi 2007   77  0.5261  0.0082  0.0286  0.0250  0.0683  0.03
Rubinstein 1939   72  0.5636  0.0075  0.0380  0.0367  0.0485  0.03
Rubinstein 1952   86  0.4139  0.0084  0.0384  0.0359  0.0581  0.04
Rubinstein 1966   69  0.5980  0.0074  0.0382  0.0373  0.0487  0.03
Schilhawsky 1960   31  0.7337  0.0024  0.0625  0.3217  0.4723  0.39
Shebanova 2002   1  0.861  0.381  0.381  0.624  0.601  0.61
Smith 1975   45  0.7186  0.0051  0.0562  0.059  0.4057  0.14
Sokolov 2002   52  0.696  0.0346  0.0653  0.069  0.3950  0.15
Sztompka 1959   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Tomsic 1995   83  0.4650  0.0085  0.0378  0.0348  0.0877  0.05
Uninsky 1932   22  0.7771  0.0015  0.0919  0.406  0.5217  0.46
Uninsky 1971   51  0.7051  0.0021  0.0924  0.3219  0.4225  0.37
Wasowski 1980   25  0.7569  0.0022  0.0821  0.336  0.4822  0.40
Zak 1937   35  0.7276  0.0042  0.0738  0.1625  0.2343  0.19
Zak 1951   49  0.7187  0.0044  0.0743  0.1329  0.2147  0.17
Random 1   90  -0.2690  0.0090  0.0190  0.0165  0.0389  0.02
Random 2   88  -0.1081  0.0088  0.0188  0.0169  0.0388  0.02
Random 3   89  -0.1882  0.0089  0.0189  0.0163  0.0490  0.02

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).