Wasowski 1980

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   69  0.2380  0.0068  0.0568  0.0572  0.0477  0.04
Anderszewski 2003   79  0.1256  0.0077  0.0482  0.0480  0.0381  0.03
Ashkenazy 1981   21  0.4948  0.0026  0.0918  0.5731  0.5027  0.53
Bacha 2000   81  0.0681  0.0081  0.0565  0.0581  0.0279  0.03
Badura 1965   73  0.2250  0.0069  0.0567  0.0544  0.1257  0.08
Barbosa 1983   48  0.3243  0.0043  0.0839  0.2626  0.3939  0.32
Biret 1990   24  0.4838  0.0012  0.1010  0.682  0.813  0.74
Blet 2003   18  0.507  0.0310  0.1321  0.5513  0.6418  0.59
Block 1995   51  0.3171  0.0062  0.0566  0.0554  0.0569  0.05
Blumental 1952   76  0.1649  0.0076  0.0480  0.0482  0.0382  0.03
Boshniakovich 1969   55  0.3082  0.0051  0.0561  0.0562  0.0670  0.05
Brailowsky 1960   82  0.0483  0.0082  0.0481  0.0483  0.0380  0.03
Bunin 1987   32  0.4251  0.0034  0.1330  0.4619  0.5034  0.48
Bunin 1987b   31  0.4347  0.0033  0.1031  0.4620  0.5033  0.48
Chiu 1999   9  0.5410  0.028  0.204  0.759  0.695  0.72
Cohen 1997   58  0.3023  0.0048  0.0750  0.0747  0.1058  0.08
Cortot 1951   72  0.2241  0.0063  0.0573  0.0543  0.1360  0.08
Csalog 1996   14  0.522  0.222  0.2313  0.644  0.7510  0.69
Czerny 1949   68  0.2329  0.0070  0.0748  0.0736  0.4745  0.18
Czerny 1990   20  0.5026  0.0027  0.0929  0.4823  0.6425  0.55
Duchoud 2007   3  0.576  0.047  0.183  0.792  0.821  0.80
Ezaki 2006   78  0.1364  0.0079  0.0569  0.0581  0.0371  0.04
Falvay 1989   47  0.3311  0.0239  0.1038  0.2820  0.3937  0.33
Farrell 1958   30  0.4412  0.0111  0.1120  0.566  0.6317  0.59
Ferenczy 1958   91  -0.1084  0.0091  0.0191  0.0177  0.0385  0.02
Fliere 1977   17  0.5072  0.0025  0.1019  0.5731  0.5026  0.53
Fou 1978   59  0.3039  0.0056  0.0563  0.0566  0.0473  0.04
Francois 1956   53  0.3185  0.0065  0.0658  0.0636  0.3350  0.14
Friedman 1923   15  0.5259  0.0014  0.149  0.6912  0.719  0.70
Friedman 1923b   10  0.5337  0.009  0.128  0.7111  0.748  0.72
Friedman 1930   4  0.574  0.104  0.216  0.729  0.727  0.72
Garcia 2007   70  0.2373  0.0072  0.0751  0.0767  0.0561  0.06
Garcia 2007b   37  0.3953  0.0047  0.0749  0.0729  0.4146  0.17
Gierzod 1998   90  -0.1074  0.0086  0.0285  0.0289  0.0287  0.02
Gornostaeva 1994   63  0.2775  0.0057  0.0570  0.0548  0.0863  0.06
Groot 1988   6  0.5513  0.0119  0.1211  0.6611  0.5913  0.62
Harasiewicz 1955   38  0.3962  0.0040  0.0842  0.2356  0.0553  0.11
Hatto 1993   26  0.4819  0.0118  0.0925  0.5418  0.5328  0.53
Hatto 1997   35  0.4144  0.0032  0.0935  0.4116  0.4536  0.43
Horowitz 1949   11  0.5315  0.0124  0.1126  0.5411  0.7112  0.62
Indjic 1988   23  0.4921  0.0017  0.0822  0.5519  0.5822  0.56
Kapell 1951   13  0.5217  0.0120  0.1315  0.6110  0.5916  0.60
Kissin 1993   34  0.4267  0.0031  0.1232  0.4522  0.5830  0.51
Kushner 1989   46  0.3357  0.0058  0.0574  0.0562  0.0566  0.05
Luisada 1991   19  0.5014  0.0122  0.1912  0.6612  0.6611  0.66
Lushtak 2004   74  0.1945  0.0074  0.0560  0.0569  0.0568  0.05
Malcuzynski 1961   60  0.3040  0.0064  0.0562  0.0570  0.0474  0.04
Magaloff 1978   42  0.3565  0.0052  0.0654  0.0654  0.0564  0.05
Magin 1975   28  0.469  0.0216  0.0928  0.5117  0.6620  0.58
Michalowski 1933   25  0.4860  0.0030  0.1627  0.5213  0.5329  0.52
Milkina 1970   65  0.2586  0.0050  0.0652  0.0630  0.3748  0.15
Mohovich 1999   83  0.0466  0.0085  0.0284  0.0287  0.0288  0.02
Moravec 1969   29  0.4642  0.0028  0.1124  0.557  0.6814  0.61
Morozova 2008   56  0.3063  0.0049  0.0657  0.0679  0.0376  0.04
Neighaus 1950   16  0.5035  0.0021  0.1614  0.6112  0.5224  0.56
Niedzielski 1931   33  0.4227  0.0036  0.0840  0.2435  0.2442  0.24
Ohlsson 1999   7  0.555  0.045  0.195  0.732  0.716  0.72
Osinska 1989   40  0.3824  0.0037  0.0933  0.4321  0.5432  0.48
Pachmann 1927   36  0.4052  0.0035  0.1234  0.4226  0.5035  0.46
Paderewski 1930   44  0.3428  0.0045  0.0845  0.1633  0.3643  0.24
Perlemuter 1992   57  0.3076  0.0067  0.0479  0.0479  0.0472  0.04
Pierdomenico 2008   27  0.4634  0.0029  0.1036  0.4011  0.6131  0.49
Poblocka 1999   41  0.3668  0.0042  0.0944  0.1926  0.3840  0.27
Rabcewiczowa 1932   75  0.1787  0.0078  0.0575  0.0560  0.0565  0.05
Rachmaninoff 1923   22  0.4930  0.0015  0.1323  0.5516  0.6715  0.61
Rangell 2001   52  0.3161  0.0055  0.0653  0.0644  0.1059  0.08
Richter 1976   5  0.5525  0.0013  0.107  0.7117  0.764  0.73
Rosen 1989   39  0.3832  0.0041  0.0841  0.2341  0.1744  0.20
Rosenthal 1930   71  0.2377  0.0075  0.0656  0.0683  0.0378  0.04
Rosenthal 1931   89  -0.0969  0.0090  0.0190  0.0190  0.0191  0.01
Rosenthal 1931b   88  -0.0488  0.0087  0.0287  0.0289  0.0290  0.02
Rosenthal 1931c   80  0.1170  0.0080  0.0572  0.0583  0.0284  0.03
Rosenthal 1931d   85  0.0078  0.0083  0.0383  0.0386  0.0289  0.02
Rossi 2007   77  0.1333  0.0073  0.0571  0.0523  0.3151  0.12
Rubinstein 1939   50  0.3220  0.0038  0.0937  0.2815  0.3938  0.33
Rubinstein 1952   43  0.3436  0.0046  0.0846  0.0837  0.1952  0.12
Rubinstein 1966   66  0.2454  0.0071  0.0655  0.0675  0.0467  0.05
Schilhawsky 1960   64  0.2689  0.0054  0.0559  0.0528  0.3749  0.14
Shebanova 2002   8  0.548  0.026  0.1617  0.5829  0.5523  0.56
Smith 1975   62  0.2722  0.0059  0.0576  0.0542  0.1455  0.08
Sokolov 2002   54  0.3131  0.0066  0.0564  0.0542  0.1854  0.09
Sztompka 1959   12  0.5218  0.0123  0.1616  0.5913  0.5821  0.58
Tomsic 1995   45  0.3316  0.0144  0.1043  0.2223  0.3141  0.26
Uninsky 1932   2  0.583  0.103  0.212  0.795  0.732  0.76
Uninsky 1971   67  0.2490  0.0061  0.0478  0.0469  0.0475  0.04
Wasowski 1980   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Zak 1937   49  0.3291  0.0053  0.0847  0.0834  0.2847  0.15
Zak 1951   61  0.2958  0.0060  0.0477  0.0440  0.1756  0.08
Average   1  0.641  0.251  0.241  0.8423  0.4219  0.59
Random 1   87  -0.0146  0.0084  0.0286  0.0247  0.0583  0.03
Random 2   86  -0.0179  0.0089  0.0288  0.0272  0.0386  0.02
Random 3   84  0.0355  0.0088  0.0289  0.0230  0.1862  0.06

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).