Badura 1965

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   23  0.415  0.0329  0.0730  0.2620  0.418  0.33
Anderszewski 2003   4  0.484  0.035  0.275  0.5537  0.275  0.39
Ashkenazy 1981   48  0.357  0.0255  0.0746  0.0736  0.1935  0.12
Bacha 2000   64  0.3138  0.0065  0.0374  0.0378  0.0375  0.03
Badura 1965   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Barbosa 1983   34  0.3975  0.0043  0.0540  0.1256  0.0743  0.09
Biret 1990   19  0.429  0.0230  0.0832  0.2549  0.0637  0.12
Blet 2003   25  0.4137  0.0040  0.0537  0.1429  0.2221  0.18
Block 1995   56  0.3365  0.0051  0.0654  0.0648  0.0656  0.06
Blumental 1952   71  0.2979  0.0081  0.0372  0.0383  0.0384  0.03
Boshniakovich 1969   24  0.4111  0.018  0.0817  0.4345  0.0817  0.19
Brailowsky 1960   59  0.3334  0.0068  0.0462  0.0478  0.0377  0.03
Bunin 1987   46  0.3520  0.0121  0.0924  0.3523  0.319  0.33
Bunin 1987b   41  0.3758  0.0022  0.1121  0.3717  0.406  0.38
Chiu 1999   43  0.3610  0.0235  0.0633  0.2140  0.1518  0.18
Cohen 1997   84  0.2082  0.0075  0.0284  0.0287  0.0287  0.02
Cortot 1951   87  0.1578  0.0087  0.0382  0.0384  0.0289  0.02
Csalog 1996   7  0.4526  0.0015  0.1013  0.4537  0.1812  0.28
Czerny 1949   54  0.3483  0.0045  0.0651  0.0657  0.0755  0.06
Czerny 1990   18  0.4218  0.019  0.078  0.4853  0.0622  0.17
Duchoud 2007   68  0.3024  0.0019  0.0729  0.2715  0.537  0.38
Ezaki 2006   16  0.4225  0.0034  0.0731  0.2662  0.0538  0.11
Falvay 1989   10  0.4429  0.0014  0.0812  0.4659  0.0524  0.15
Farrell 1958   67  0.3073  0.0071  0.0370  0.0359  0.0570  0.04
Ferenczy 1958   27  0.4028  0.0052  0.0555  0.0539  0.1744  0.09
Fliere 1977   21  0.4117  0.0146  0.0556  0.0556  0.0557  0.05
Fou 1978   14  0.428  0.0231  0.1127  0.2863  0.0439  0.11
Francois 1956   80  0.2484  0.0077  0.0368  0.0354  0.0574  0.04
Friedman 1923   22  0.4157  0.0011  0.0814  0.4511  0.534  0.49
Friedman 1923b   13  0.4413  0.017  0.207  0.487  0.573  0.52
Friedman 1930   60  0.3321  0.0149  0.0748  0.0740  0.1740  0.11
Garcia 2007   77  0.2553  0.0073  0.0288  0.0242  0.1464  0.05
Garcia 2007b   69  0.2968  0.0060  0.0557  0.0549  0.0665  0.05
Gierzod 1998   15  0.4280  0.0026  0.0826  0.3465  0.0433  0.12
Gornostaeva 1994   30  0.4060  0.0024  0.0818  0.3866  0.0436  0.12
Groot 1988   37  0.3839  0.0042  0.0543  0.1047  0.0647  0.08
Harasiewicz 1955   11  0.4452  0.0027  0.0823  0.3549  0.0723  0.16
Hatto 1993   12  0.4444  0.0018  0.0716  0.4553  0.0528  0.15
Hatto 1997   6  0.4547  0.0010  0.0810  0.4749  0.0527  0.15
Horowitz 1949   83  0.2122  0.0184  0.0367  0.0367  0.0480  0.03
Indjic 1988   9  0.4535  0.0012  0.079  0.4748  0.0525  0.15
Kapell 1951   52  0.3476  0.0057  0.0745  0.0759  0.0653  0.06
Kissin 1993   17  0.4281  0.0023  0.0819  0.3849  0.0920  0.18
Kushner 1989   8  0.4540  0.006  0.266  0.5247  0.0815  0.20
Luisada 1991   58  0.3343  0.0064  0.0464  0.0455  0.0566  0.04
Lushtak 2004   29  0.4070  0.0028  0.0725  0.3572  0.0434  0.12
Malcuzynski 1961   26  0.4150  0.0020  0.0715  0.4542  0.1613  0.27
Magaloff 1978   32  0.3971  0.0053  0.0650  0.0657  0.0558  0.05
Magin 1975   28  0.4087  0.0047  0.0747  0.0776  0.0460  0.05
Michalowski 1933   81  0.2445  0.0078  0.0285  0.0230  0.2249  0.07
Milkina 1970   2  0.4931  0.003  0.164  0.5747  0.0716  0.20
Mohovich 1999   40  0.3761  0.0041  0.0539  0.1478  0.0450  0.07
Moravec 1969   72  0.2988  0.0082  0.0380  0.0373  0.0476  0.03
Morozova 2008   1  0.531  0.431  0.431  0.668  0.591  0.62
Neighaus 1950   47  0.3516  0.0150  0.0653  0.0628  0.2731  0.13
Niedzielski 1931   65  0.313  0.0616  0.0744  0.1035  0.1432  0.12
Ohlsson 1999   5  0.462  0.152  0.372  0.618  0.582  0.59
Osinska 1989   3  0.4912  0.014  0.213  0.6043  0.1610  0.31
Pachmann 1927   82  0.2266  0.0080  0.0283  0.0259  0.0481  0.03
Paderewski 1930   86  0.1851  0.0086  0.0466  0.0447  0.0662  0.05
Perlemuter 1992   73  0.2862  0.0072  0.0373  0.0357  0.0567  0.04
Pierdomenico 2008   85  0.1989  0.0085  0.0381  0.0373  0.0379  0.03
Poblocka 1999   51  0.3485  0.0058  0.0560  0.0574  0.0468  0.04
Rabcewiczowa 1932   61  0.3330  0.0044  0.0542  0.1070  0.0452  0.06
Rachmaninoff 1923   57  0.3314  0.0162  0.0371  0.0362  0.0569  0.04
Rangell 2001   79  0.2586  0.0074  0.0287  0.0280  0.0388  0.02
Richter 1976   39  0.3715  0.0154  0.0749  0.0764  0.0361  0.05
Rosen 1989   33  0.3942  0.0013  0.0722  0.3641  0.2014  0.27
Rosenthal 1930   75  0.2869  0.0066  0.0377  0.0364  0.0483  0.03
Rosenthal 1931   63  0.3227  0.0067  0.0465  0.0474  0.0471  0.04
Rosenthal 1931b   66  0.3019  0.0169  0.0463  0.0456  0.0572  0.04
Rosenthal 1931c   55  0.3463  0.0063  0.0375  0.0356  0.0673  0.04
Rosenthal 1931d   74  0.2823  0.0183  0.0376  0.0366  0.0485  0.03
Rossi 2007   78  0.2541  0.0076  0.0369  0.0362  0.0478  0.03
Rubinstein 1939   49  0.3555  0.0036  0.0536  0.1959  0.0442  0.09
Rubinstein 1952   50  0.3564  0.0038  0.0534  0.1960  0.0445  0.09
Rubinstein 1966   20  0.4136  0.0017  0.0611  0.4661  0.0526  0.15
Schilhawsky 1960   62  0.3246  0.0070  0.0378  0.0372  0.0382  0.03
Shebanova 2002   45  0.3590  0.0039  0.0541  0.1250  0.0646  0.08
Smith 1975   53  0.3448  0.0061  0.0559  0.0563  0.0559  0.05
Sokolov 2002   44  0.3633  0.0056  0.0558  0.0544  0.1148  0.07
Sztompka 1959   70  0.2972  0.0059  0.0561  0.0555  0.0563  0.05
Tomsic 1995   35  0.396  0.0225  0.0920  0.3831  0.2511  0.31
Uninsky 1932   76  0.2759  0.0079  0.0379  0.0340  0.1354  0.06
Uninsky 1971   31  0.4054  0.0032  0.0728  0.2749  0.0630  0.13
Wasowski 1980   38  0.3749  0.0048  0.0652  0.0651  0.0651  0.06
Zak 1937   42  0.3756  0.0037  0.0538  0.1442  0.1329  0.13
Zak 1951   36  0.3832  0.0033  0.0735  0.1934  0.1719  0.18
Random 1   88  0.0067  0.0088  0.0286  0.028  0.4741  0.10
Random 2   90  -0.1577  0.0090  0.0190  0.0190  0.0190  0.01
Random 3   89  -0.0974  0.0089  0.0289  0.0270  0.0386  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).