Badura 1965

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   4  0.6419  0.0112  0.168  0.5837  0.2514  0.38
Anderszewski 2003   10  0.6216  0.0119  0.1216  0.4941  0.2219  0.33
Ashkenazy 1981   27  0.5521  0.0125  0.0626  0.3744  0.1328  0.22
Bacha 2000   60  0.4462  0.0062  0.0564  0.0575  0.0365  0.04
Badura 1965   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Barbosa 1983   50  0.4767  0.0051  0.0560  0.0559  0.0559  0.05
Biret 1990   52  0.476  0.0227  0.0546  0.0987  0.0363  0.05
Blet 2003   43  0.5033  0.0050  0.0945  0.0957  0.0551  0.07
Block 1995   47  0.4954  0.0049  0.0847  0.0851  0.0652  0.07
Blumental 1952   67  0.4178  0.0067  0.0475  0.0479  0.0472  0.04
Boshniakovich 1969   7  0.637  0.023  0.154  0.6323  0.472  0.54
Brailowsky 1960   75  0.3991  0.0080  0.0286  0.0274  0.0480  0.03
Bunin 1987   51  0.4753  0.0030  0.1029  0.3613  0.4810  0.42
Bunin 1987b   53  0.4744  0.0029  0.0528  0.3611  0.488  0.42
Chiu 1999   39  0.5214  0.0146  0.0750  0.0761  0.0553  0.06
Cohen 1997   81  0.3148  0.0084  0.0384  0.0373  0.0386  0.03
Cortot 1951   78  0.3573  0.0078  0.0382  0.0353  0.0575  0.04
Csalog 1996   72  0.4024  0.0157  0.0555  0.0556  0.0560  0.05
Czerny 1949   22  0.5782  0.0022  0.1323  0.4142  0.1923  0.28
Czerny 1990   35  0.5439  0.0045  0.0943  0.1977  0.0447  0.09
Duchoud 2007   57  0.459  0.0133  0.0640  0.2414  0.3920  0.31
Ezaki 2006   17  0.5855  0.0040  0.0837  0.2770  0.0441  0.10
Falvay 1989   77  0.3889  0.0079  0.0288  0.0278  0.0388  0.02
Farrell 1958   63  0.4374  0.0074  0.0473  0.0479  0.0471  0.04
Ferenczy 1958   42  0.5027  0.0056  0.0558  0.0540  0.2045  0.10
Fliere 1977   12  0.6123  0.0120  0.1218  0.4770  0.0431  0.14
Fou 1978   18  0.5813  0.0124  0.0630  0.3557  0.0533  0.13
Francois 1956   71  0.4083  0.0071  0.0566  0.0572  0.0477  0.04
Friedman 1923   11  0.6229  0.0013  0.1614  0.5217  0.485  0.50
Friedman 1923b   9  0.634  0.0310  0.1313  0.5417  0.514  0.52
Friedman 1930   23  0.5717  0.0126  0.0624  0.3827  0.4412  0.41
Garcia 2007   69  0.4168  0.0073  0.0468  0.0486  0.0384  0.03
Garcia 2007b   65  0.4263  0.0059  0.0653  0.0683  0.0378  0.04
Gierzod 1998   13  0.6169  0.006  0.103  0.6340  0.2117  0.36
Gornostaeva 1994   46  0.4957  0.0048  0.0849  0.0887  0.0362  0.05
Groot 1988   64  0.4345  0.0061  0.0651  0.0682  0.0464  0.05
Harasiewicz 1955   2  0.673  0.045  0.1615  0.5236  0.2815  0.38
Hatto 1993   8  0.6347  0.0011  0.167  0.6030  0.2713  0.40
Hatto 1997   5  0.6436  0.008  0.116  0.6232  0.2216  0.37
Horowitz 1949   49  0.4728  0.0054  0.0652  0.0647  0.0849  0.07
Indjic 1988   6  0.6410  0.019  0.185  0.6230  0.289  0.42
Kapell 1951   62  0.4434  0.0041  0.0938  0.2674  0.0444  0.10
Kissin 1993   14  0.6064  0.0014  0.1712  0.5539  0.3111  0.41
Kushner 1989   28  0.5550  0.0036  0.0733  0.3360  0.0534  0.13
Luisada 1991   29  0.5538  0.0043  0.0742  0.1947  0.0836  0.12
Lushtak 2004   38  0.5271  0.0047  0.0848  0.0853  0.0555  0.06
Malcuzynski 1961   56  0.4656  0.0052  0.0556  0.0539  0.1348  0.08
Magaloff 1978   68  0.4158  0.0070  0.0470  0.0476  0.0467  0.04
Magin 1975   34  0.5481  0.0035  0.0634  0.3148  0.0537  0.12
Michalowski 1933   44  0.4918  0.0142  0.0741  0.2122  0.3822  0.28
Milkina 1970   19  0.588  0.0216  0.1010  0.5652  0.0629  0.18
Mohovich 1999   54  0.4775  0.0053  0.0563  0.0581  0.0473  0.04
Moravec 1969   83  0.3051  0.0085  0.0379  0.0365  0.0479  0.03
Morozova 2008   3  0.671  0.351  0.352  0.716  0.571  0.64
Neighaus 1950   32  0.5446  0.0034  0.0636  0.3063  0.0540  0.12
Niedzielski 1931   61  0.4411  0.0163  0.0559  0.0554  0.0558  0.05
Ohlsson 1999   20  0.5837  0.007  0.1511  0.5533  0.337  0.43
Osinska 1989   33  0.5465  0.0039  0.0939  0.2472  0.0443  0.10
Pachmann 1927   59  0.4479  0.0065  0.0472  0.0422  0.3838  0.12
Paderewski 1930   76  0.3930  0.0075  0.0565  0.0545  0.0950  0.07
Perlemuter 1992   45  0.4959  0.0058  0.0467  0.0461  0.0466  0.04
Pierdomenico 2008   84  0.2890  0.0082  0.0385  0.0360  0.0569  0.04
Poblocka 1999   36  0.5466  0.0032  0.0631  0.3561  0.0532  0.13
Rabcewiczowa 1932   66  0.4241  0.0066  0.0477  0.0488  0.0382  0.03
Rachmaninoff 1923   40  0.5231  0.0055  0.0557  0.0556  0.0557  0.05
Rangell 2001   82  0.3184  0.0068  0.0380  0.0360  0.0574  0.04
Richter 1976   15  0.6025  0.0018  0.1017  0.4724  0.496  0.48
Rosen 1989   41  0.5220  0.0138  0.1035  0.3054  0.0539  0.12
Rosenthal 1930   79  0.3476  0.0077  0.0471  0.0483  0.0385  0.03
Rosenthal 1931   86  0.2585  0.0086  0.0469  0.0475  0.0383  0.03
Rosenthal 1931b   87  0.2342  0.0087  0.0378  0.0383  0.0290  0.02
Rosenthal 1931c   85  0.2686  0.0081  0.0287  0.0286  0.0291  0.02
Rosenthal 1931d   88  0.2260  0.0088  0.0381  0.0382  0.0387  0.03
Rossi 2007   73  0.3972  0.0083  0.0383  0.0382  0.0481  0.03
Rubinstein 1939   70  0.4152  0.0072  0.0474  0.0466  0.0470  0.04
Rubinstein 1952   80  0.3135  0.0076  0.0476  0.0473  0.0476  0.04
Rubinstein 1966   55  0.4670  0.0060  0.0654  0.0674  0.0461  0.05
Schilhawsky 1960   21  0.5722  0.0128  0.0525  0.3840  0.1924  0.27
Shebanova 2002   30  0.5580  0.0021  0.1022  0.4272  0.0435  0.13
Smith 1975   58  0.4532  0.0064  0.0561  0.0581  0.0368  0.04
Sokolov 2002   48  0.4943  0.0037  0.1132  0.3334  0.2321  0.28
Sztompka 1959   25  0.5649  0.0031  0.0627  0.3748  0.0730  0.16
Tomsic 1995   74  0.3987  0.0069  0.0562  0.0556  0.0754  0.06
Uninsky 1932   31  0.5515  0.0123  0.0821  0.4238  0.3018  0.35
Uninsky 1971   16  0.595  0.034  0.229  0.5825  0.473  0.52
Wasowski 1980   37  0.5488  0.0044  0.0644  0.1758  0.0642  0.10
Zak 1937   26  0.5526  0.0017  0.1020  0.4439  0.1525  0.26
Zak 1951   24  0.5612  0.0115  0.1019  0.4637  0.1526  0.26
Average   1  0.692  0.292  0.401  0.7752  0.0727  0.23
Random 1   89  -0.0361  0.0089  0.0289  0.027  0.4846  0.10
Random 2   91  -0.1077  0.0091  0.0191  0.0147  0.0589  0.02
Random 3   90  -0.0540  0.0090  0.0290  0.0235  0.1856  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).