Wasowski 1980

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   60  0.3867  0.0055  0.0571  0.0521  0.4044  0.14
Anderszewski 2003   20  0.5023  0.0121  0.0919  0.4831  0.3621  0.42
Ashkenazy 1981   83  0.2484  0.0083  0.0382  0.0363  0.0384  0.03
Bacha 2000   82  0.2581  0.0080  0.0576  0.0553  0.0477  0.04
Badura 1965   62  0.3782  0.0064  0.0651  0.0652  0.0664  0.06
Barbosa 1983   4  0.571  0.161  0.151  0.6815  0.601  0.64
Biret 1990   30  0.477  0.0513  0.0912  0.5330  0.3619  0.44
Blet 2003   55  0.3942  0.0060  0.0748  0.0742  0.1355  0.10
Block 1995   48  0.4347  0.0031  0.0732  0.3419  0.4624  0.40
Blumental 1952   17  0.529  0.0414  0.118  0.5517  0.573  0.56
Boshniakovich 1969   19  0.5034  0.009  0.1411  0.5419  0.3817  0.45
Brailowsky 1960   33  0.4710  0.0336  0.0937  0.2328  0.4230  0.31
Bunin 1987   58  0.3840  0.0069  0.0570  0.0557  0.0575  0.05
Bunin 1987b   61  0.3845  0.0068  0.0479  0.0450  0.0671  0.05
Chiu 1999   57  0.3922  0.0152  0.0655  0.0625  0.2947  0.13
Cohen 1997   59  0.3828  0.0057  0.0575  0.0519  0.2753  0.12
Cortot 1951   71  0.3231  0.0066  0.0657  0.0634  0.2654  0.12
Csalog 1996   64  0.3632  0.0059  0.0658  0.0652  0.0572  0.05
Czerny 1949   24  0.4969  0.0024  0.0825  0.4137  0.3426  0.37
Czerny 1990   6  0.5512  0.0310  0.1513  0.5334  0.4611  0.49
Duchoud 2007   86  0.1838  0.0084  0.0384  0.0373  0.0383  0.03
Ezaki 2006   35  0.4727  0.0042  0.0842  0.1668  0.0557  0.09
Falvay 1989   8  0.5517  0.0217  0.137  0.5634  0.3815  0.46
Farrell 1958   67  0.3468  0.0073  0.0574  0.0553  0.0569  0.05
Ferenczy 1958   50  0.4270  0.0056  0.0656  0.0628  0.3942  0.15
Fliere 1977   21  0.5037  0.0020  0.0720  0.4750  0.0638  0.17
Fou 1978   34  0.4771  0.0038  0.1034  0.2954  0.0551  0.12
Francois 1956   75  0.3083  0.0077  0.0562  0.0564  0.0482  0.04
Friedman 1923   69  0.3353  0.0065  0.0749  0.0731  0.2846  0.14
Friedman 1923b   66  0.3455  0.0061  0.0563  0.0526  0.3745  0.14
Friedman 1930   52  0.416  0.0534  0.1030  0.359  0.5320  0.43
Garcia 2007   63  0.3788  0.0058  0.0564  0.0527  0.3649  0.13
Garcia 2007b   41  0.4429  0.0039  0.0739  0.1832  0.3134  0.24
Gierzod 1998   1  0.593  0.093  0.185  0.5919  0.488  0.53
Gornostaeva 1994   12  0.5435  0.0015  0.1017  0.4912  0.559  0.52
Groot 1988   54  0.4146  0.0032  0.0735  0.2833  0.1835  0.22
Harasiewicz 1955   2  0.585  0.075  0.134  0.6125  0.524  0.56
Hatto 1993   26  0.4957  0.0028  0.0729  0.3642  0.1733  0.25
Hatto 1997   16  0.5226  0.0112  0.1116  0.5021  0.4514  0.47
Horowitz 1949   72  0.3260  0.0076  0.0577  0.0542  0.1459  0.08
Indjic 1988   22  0.5054  0.0023  0.1123  0.4236  0.2529  0.32
Kapell 1951   13  0.548  0.0411  0.1318  0.4930  0.4116  0.45
Kissin 1993   14  0.5215  0.027  0.1114  0.5315  0.557  0.54
Kushner 1989   7  0.5521  0.018  0.116  0.5835  0.3318  0.44
Luisada 1991   11  0.5411  0.0318  0.209  0.555  0.622  0.58
Lushtak 2004   18  0.5114  0.0219  0.1222  0.4430  0.3623  0.40
Malcuzynski 1961   25  0.4930  0.0029  0.0728  0.3747  0.0839  0.17
Magaloff 1978   32  0.4724  0.0133  0.0736  0.2732  0.3231  0.29
Magin 1975   37  0.4625  0.0140  0.0838  0.2143  0.1240  0.16
Michalowski 1933   87  0.1472  0.0087  0.0286  0.0270  0.0386  0.02
Milkina 1970   5  0.562  0.102  0.142  0.6529  0.3910  0.50
Mohovich 1999   38  0.4633  0.0041  0.0741  0.1746  0.0656  0.10
Moravec 1969   31  0.4773  0.0048  0.0746  0.0757  0.0660  0.06
Morozova 2008   47  0.4361  0.0047  0.0652  0.0649  0.0763  0.06
Neighaus 1950   56  0.3958  0.0062  0.0566  0.0527  0.3250  0.13
Niedzielski 1931   74  0.3056  0.0072  0.0572  0.0550  0.0668  0.05
Ohlsson 1999   42  0.4443  0.0045  0.0565  0.0532  0.3248  0.13
Osinska 1989   3  0.5816  0.026  0.103  0.6429  0.456  0.54
Pachmann 1927   79  0.2885  0.0078  0.0383  0.0347  0.0679  0.04
Paderewski 1930   81  0.2741  0.0063  0.0660  0.0611  0.4441  0.16
Perlemuter 1992   40  0.4539  0.0037  0.0740  0.183  0.5728  0.32
Pierdomenico 2008   73  0.3177  0.0074  0.0654  0.0647  0.0566  0.05
Poblocka 1999   10  0.5418  0.0116  0.1015  0.5122  0.4612  0.48
Rabcewiczowa 1932   44  0.4419  0.0125  0.0727  0.3836  0.1732  0.25
Rachmaninoff 1923   68  0.3364  0.0067  0.0569  0.0557  0.0565  0.05
Rangell 2001   23  0.4965  0.0026  0.0631  0.3417  0.4922  0.41
Richter 1976   45  0.4474  0.0044  0.0544  0.1028  0.3737  0.19
Rosen 1989   43  0.4420  0.0135  0.1033  0.3225  0.3427  0.33
Rosenthal 1930   76  0.3075  0.0081  0.0481  0.0469  0.0481  0.04
Rosenthal 1931   80  0.2859  0.0082  0.0480  0.0456  0.0580  0.04
Rosenthal 1931b   85  0.2089  0.0086  0.0385  0.0384  0.0289  0.02
Rosenthal 1931c   77  0.2980  0.0079  0.0478  0.0477  0.0385  0.03
Rosenthal 1931d   84  0.2151  0.0085  0.0288  0.0281  0.0388  0.02
Rossi 2007   78  0.2986  0.0075  0.0659  0.0650  0.0661  0.06
Rubinstein 1939   49  0.4362  0.0051  0.0650  0.0663  0.0467  0.05
Rubinstein 1952   29  0.4887  0.0046  0.0653  0.0657  0.0576  0.05
Rubinstein 1966   15  0.5248  0.0022  0.1024  0.4245  0.1036  0.20
Schilhawsky 1960   46  0.4452  0.0054  0.0567  0.0550  0.0573  0.05
Shebanova 2002   39  0.4536  0.0043  0.0643  0.1238  0.1943  0.15
Smith 1975   27  0.4866  0.0030  0.0921  0.4413  0.5213  0.48
Sokolov 2002   65  0.3663  0.0071  0.0561  0.0559  0.0478  0.04
Sztompka 1959   9  0.554  0.084  0.1710  0.5417  0.575  0.55
Tomsic 1995   36  0.4613  0.0249  0.0745  0.0734  0.2252  0.12
Uninsky 1932   70  0.3378  0.0070  0.0568  0.0555  0.0574  0.05
Uninsky 1971   28  0.4850  0.0027  0.0726  0.4031  0.3625  0.38
Wasowski 1980   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Zak 1937   53  0.4190  0.0053  0.0573  0.0551  0.0570  0.05
Zak 1951   51  0.4276  0.0050  0.0747  0.0757  0.0562  0.06
Random 1   89  -0.0679  0.0089  0.0289  0.0266  0.0287  0.02
Random 2   90  -0.0749  0.0090  0.0190  0.0189  0.0190  0.01
Random 3   88  -0.0344  0.0088  0.0287  0.0210  0.4158  0.09

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).