Sztompka 1959

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   13  0.7270  0.0019  0.1118  0.3913  0.3720  0.38
Anderszewski 2003   49  0.5175  0.0043  0.0642  0.1459  0.0447  0.07
Ashkenazy 1981   28  0.6439  0.0029  0.0722  0.3737  0.1428  0.23
Bacha 2000   76  0.3288  0.0085  0.0281  0.0277  0.0379  0.02
Badura 1965   39  0.5731  0.0131  0.0931  0.3022  0.3325  0.31
Barbosa 1983   47  0.5277  0.0041  0.0639  0.1643  0.1832  0.17
Biret 1990   34  0.6048  0.0044  0.0643  0.1463  0.0448  0.07
Blet 2003   9  0.7582  0.0011  0.1116  0.4111  0.4216  0.41
Block 1995   68  0.397  0.0335  0.0841  0.1541  0.1134  0.13
Blumental 1952   46  0.5330  0.0113  0.1033  0.284  0.4321  0.35
Boshniakovich 1969   51  0.5034  0.0059  0.0471  0.0475  0.0377  0.03
Brailowsky 1960   80  0.2989  0.0086  0.0288  0.0289  0.0280  0.02
Bunin 1987   15  0.6916  0.0121  0.1219  0.3917  0.4119  0.40
Bunin 1987b   16  0.6942  0.0022  0.1320  0.3917  0.4118  0.40
Chiu 1999   77  0.3266  0.0072  0.0374  0.0378  0.0368  0.03
Cohen 1997   86  0.1826  0.0184  0.0284  0.0277  0.0386  0.02
Cortot 1951   1  0.821  0.251  0.253  0.541  0.641  0.59
Csalog 1996   79  0.3061  0.0083  0.0285  0.0265  0.0384  0.02
Czerny 1949   4  0.784  0.063  0.165  0.539  0.527  0.52
Czerny 1990   2  0.803  0.092  0.151  0.575  0.522  0.54
Duchoud 2007   23  0.6647  0.0026  0.0830  0.3327  0.3323  0.33
Ezaki 2006   12  0.7281  0.0024  0.1026  0.3541  0.1031  0.19
Falvay 1989   50  0.509  0.0368  0.0556  0.0561  0.0459  0.04
Farrell 1958   38  0.5871  0.0052  0.0650  0.0678  0.0361  0.04
Ferenczy 1958   6  0.7790  0.008  0.1811  0.463  0.604  0.53
Fliere 1977   30  0.6217  0.0148  0.0561  0.0562  0.0457  0.04
Fou 1978   72  0.3478  0.0077  0.0378  0.0376  0.0370  0.03
Francois 1956   29  0.6272  0.0027  0.0828  0.3435  0.1429  0.22
Friedman 1923   65  0.4084  0.0017  0.1024  0.364  0.5314  0.44
Friedman 1923b   67  0.4065  0.0016  0.1025  0.365  0.5215  0.43
Friedman 1930   43  0.5654  0.0015  0.1112  0.453  0.549  0.49
Garcia 2007   70  0.3751  0.0058  0.0470  0.0426  0.2739  0.10
Garcia 2007b   83  0.2450  0.0061  0.0472  0.0434  0.1249  0.07
Gierzod 1998   26  0.6437  0.0030  0.0821  0.3729  0.2026  0.27
Gornostaeva 1994   36  0.5910  0.0234  0.0644  0.1350  0.0544  0.08
Groot 1988   40  0.5738  0.0047  0.0652  0.0675  0.0367  0.04
Harasiewicz 1955   57  0.4735  0.0039  0.0637  0.1759  0.0445  0.08
Hatto 1993   78  0.3073  0.0062  0.0560  0.0587  0.0278  0.03
Hatto 1997   66  0.4079  0.0055  0.0651  0.0646  0.0453  0.05
Horowitz 1949   71  0.3456  0.0074  0.0375  0.0382  0.0373  0.03
Indjic 1988   74  0.3387  0.0060  0.0559  0.0566  0.0365  0.04
Kapell 1951   3  0.798  0.035  0.219  0.504  0.555  0.52
Kissin 1993   61  0.4528  0.0173  0.0467  0.0483  0.0275  0.03
Kushner 1989   33  0.6149  0.0049  0.0748  0.0775  0.0352  0.05
Luisada 1991   60  0.4541  0.0069  0.0555  0.0577  0.0356  0.04
Lushtak 2004   22  0.6669  0.0023  0.0829  0.3348  0.0633  0.14
Malcuzynski 1961   21  0.6622  0.0137  0.0834  0.2569  0.0341  0.09
Magaloff 1978   54  0.4827  0.0170  0.0562  0.0560  0.0358  0.04
Magin 1975   73  0.3460  0.0078  0.0373  0.0380  0.0282  0.02
Michalowski 1933   25  0.652  0.124  0.174  0.532  0.508  0.51
Milkina 1970   63  0.4123  0.0175  0.0379  0.0378  0.0372  0.03
Mohovich 1999   32  0.6276  0.0040  0.0740  0.1662  0.0443  0.08
Moravec 1969   42  0.5632  0.0051  0.0653  0.0639  0.1242  0.08
Morozova 2008   35  0.6019  0.0138  0.0935  0.2456  0.0438  0.10
Neighaus 1950   20  0.6618  0.0132  0.1227  0.3560  0.0435  0.12
Niedzielski 1931   69  0.3833  0.0064  0.0468  0.0473  0.0269  0.03
Ohlsson 1999   37  0.5952  0.0050  0.0465  0.0461  0.0464  0.04
Osinska 1989   19  0.6755  0.0033  0.1332  0.2933  0.2027  0.24
Pachmann 1927   82  0.2459  0.0082  0.0283  0.0267  0.0474  0.03
Paderewski 1930   18  0.6825  0.0118  0.1014  0.443  0.4912  0.46
Perlemuter 1992   31  0.6214  0.0228  0.0917  0.4026  0.2722  0.33
Pierdomenico 2008   58  0.4662  0.0071  0.0558  0.0579  0.0360  0.04
Poblocka 1999   8  0.7545  0.0012  0.1310  0.4613  0.4711  0.46
Rabcewiczowa 1932   5  0.775  0.056  0.196  0.512  0.563  0.53
Rachmaninoff 1923   55  0.4820  0.0145  0.0745  0.1361  0.0446  0.07
Rangell 2001   64  0.4144  0.0076  0.0377  0.0381  0.0287  0.02
Richter 1976   56  0.4864  0.0065  0.0464  0.0452  0.0463  0.04
Rosen 1989   44  0.5536  0.0056  0.0747  0.0771  0.0354  0.05
Rosenthal 1930   41  0.5629  0.0142  0.0538  0.1630  0.2630  0.20
Rosenthal 1931   84  0.2283  0.0079  0.0376  0.0382  0.0283  0.02
Rosenthal 1931b   87  0.1843  0.0081  0.0282  0.0284  0.0288  0.02
Rosenthal 1931c   45  0.5357  0.0053  0.0746  0.0746  0.0650  0.06
Rosenthal 1931d   85  0.1991  0.0088  0.0286  0.0290  0.0191  0.01
Rossi 2007   75  0.3253  0.0046  0.0554  0.0531  0.1540  0.09
Rubinstein 1939   88  0.1146  0.0090  0.0190  0.0182  0.0381  0.02
Rubinstein 1952   81  0.2767  0.0087  0.0287  0.0287  0.0289  0.02
Rubinstein 1966   52  0.4980  0.0067  0.0557  0.0562  0.0466  0.04
Schilhawsky 1960   27  0.6468  0.0025  0.0923  0.3622  0.2924  0.32
Shebanova 2002   53  0.4913  0.0257  0.0466  0.0473  0.0376  0.03
Smith 1975   10  0.736  0.039  0.132  0.546  0.3813  0.45
Sokolov 2002   11  0.7321  0.0120  0.1213  0.4423  0.3717  0.40
Sztompka 1959   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Tomsic 1995   24  0.6540  0.0036  0.0636  0.2246  0.0537  0.10
Uninsky 1932   17  0.6812  0.027  0.187  0.512  0.546  0.52
Uninsky 1971   14  0.7111  0.0210  0.098  0.508  0.4710  0.48
Wasowski 1980   48  0.5215  0.0154  0.0649  0.0663  0.0451  0.05
Zak 1937   62  0.4463  0.0066  0.0463  0.0484  0.0371  0.03
Zak 1951   59  0.4574  0.0063  0.0469  0.0468  0.0462  0.04
Average   7  0.7524  0.0114  0.1115  0.4371  0.0336  0.11
Random 1   91  -0.1458  0.0091  0.0191  0.0182  0.0290  0.01
Random 2   90  -0.1185  0.0089  0.0289  0.0278  0.0285  0.02
Random 3   89  0.0886  0.0080  0.0380  0.0344  0.1055  0.05

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).