Block 1995

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   83  0.2175  0.0078  0.0376  0.0383  0.0385  0.03
Anderszewski 2003   10  0.4424  0.0019  0.0912  0.5914  0.617  0.60
Ashkenazy 1981   45  0.3654  0.0048  0.0655  0.0639  0.2252  0.11
Bacha 2000   71  0.2749  0.0075  0.0377  0.0352  0.0570  0.04
Badura 1965   58  0.3465  0.0060  0.0558  0.0522  0.3449  0.13
Barbosa 1983   21  0.4137  0.0016  0.1119  0.5022  0.4120  0.45
Biret 1990   69  0.2861  0.0076  0.0463  0.0455  0.0579  0.04
Blet 2003   56  0.3441  0.0058  0.0747  0.0736  0.2448  0.13
Block 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Blumental 1952   32  0.3932  0.0022  0.1017  0.5122  0.4915  0.50
Boshniakovich 1969   25  0.4033  0.0023  0.1021  0.4928  0.3224  0.40
Brailowsky 1960   13  0.444  0.029  0.1218  0.5115  0.6310  0.57
Bunin 1987   70  0.2873  0.0070  0.0471  0.0455  0.0577  0.04
Bunin 1987b   73  0.2789  0.0071  0.0561  0.0561  0.0473  0.04
Chiu 1999   47  0.3647  0.0054  0.0748  0.0746  0.0665  0.06
Cohen 1997   75  0.2579  0.0082  0.0388  0.0357  0.0487  0.03
Cortot 1951   51  0.3512  0.0131  0.0837  0.2119  0.4832  0.32
Csalog 1996   38  0.3743  0.0056  0.0751  0.0736  0.1554  0.10
Czerny 1949   87  0.1991  0.0087  0.0386  0.0381  0.0384  0.03
Czerny 1990   42  0.3781  0.0044  0.0743  0.1346  0.0857  0.10
Duchoud 2007   86  0.1964  0.0086  0.0384  0.0373  0.0486  0.03
Ezaki 2006   22  0.4123  0.0029  0.1030  0.3236  0.4029  0.36
Falvay 1989   24  0.4021  0.0018  0.1116  0.5227  0.3422  0.42
Farrell 1958   82  0.2174  0.0083  0.0387  0.0377  0.0383  0.03
Ferenczy 1958   65  0.3118  0.0049  0.0559  0.0528  0.5543  0.17
Fliere 1977   2  0.537  0.013  0.333  0.7911  0.652  0.72
Fou 1978   9  0.4419  0.0010  0.117  0.6518  0.528  0.58
Francois 1956   84  0.2067  0.0088  0.0473  0.0483  0.0288  0.03
Friedman 1923   29  0.4028  0.0038  0.0735  0.2616  0.5428  0.37
Friedman 1923b   27  0.4062  0.0033  0.0829  0.3518  0.5521  0.44
Friedman 1930   46  0.3657  0.0053  0.0653  0.0642  0.1262  0.08
Garcia 2007   49  0.3670  0.0041  0.0644  0.1221  0.4038  0.22
Garcia 2007b   81  0.2282  0.0079  0.0375  0.0375  0.0489  0.03
Gierzod 1998   52  0.3553  0.0025  0.0928  0.3532  0.2833  0.31
Gornostaeva 1994   26  0.4034  0.0034  0.0833  0.3024  0.4726  0.38
Groot 1988   30  0.4055  0.0028  0.0926  0.4237  0.2134  0.30
Harasiewicz 1955   3  0.533  0.035  0.224  0.7416  0.525  0.62
Hatto 1993   41  0.3771  0.0042  0.0741  0.1657  0.0753  0.11
Hatto 1997   72  0.2783  0.0063  0.0467  0.0481  0.0476  0.04
Horowitz 1949   64  0.3168  0.0064  0.0462  0.0435  0.3450  0.12
Indjic 1988   57  0.3485  0.0052  0.0557  0.0553  0.0668  0.05
Kapell 1951   31  0.3916  0.0032  0.0832  0.3033  0.2337  0.26
Kissin 1993   11  0.446  0.0114  0.119  0.6220  0.586  0.60
Kushner 1989   23  0.4150  0.0017  0.1015  0.5433  0.2923  0.40
Luisada 1991   50  0.3552  0.0061  0.0560  0.0561  0.0666  0.05
Lushtak 2004   15  0.4329  0.0020  0.0925  0.4722  0.4718  0.47
Malcuzynski 1961   14  0.4410  0.0111  0.118  0.6521  0.4912  0.56
Magaloff 1978   8  0.4715  0.008  0.1122  0.4816  0.4817  0.48
Magin 1975   59  0.3440  0.0057  0.0846  0.0848  0.0664  0.07
Michalowski 1933   76  0.2569  0.0066  0.0374  0.0361  0.0674  0.04
Milkina 1970   79  0.2390  0.0077  0.0468  0.0462  0.0572  0.04
Mohovich 1999   4  0.528  0.014  0.252  0.804  0.751  0.77
Moravec 1969   17  0.4311  0.0115  0.1023  0.4811  0.4916  0.48
Morozova 2008   60  0.3387  0.0059  0.0464  0.0469  0.0475  0.04
Neighaus 1950   44  0.365  0.0230  0.0934  0.2629  0.3236  0.29
Niedzielski 1931   55  0.3466  0.0050  0.0652  0.0625  0.3445  0.14
Ohlsson 1999   34  0.3925  0.0026  0.0927  0.4126  0.3231  0.36
Osinska 1989   12  0.4413  0.0127  0.1224  0.4832  0.3025  0.38
Pachmann 1927   48  0.3646  0.0055  0.0750  0.0723  0.4442  0.18
Paderewski 1930   78  0.2359  0.0067  0.0469  0.0443  0.2160  0.09
Perlemuter 1992   33  0.399  0.0137  0.0736  0.2613  0.5227  0.37
Pierdomenico 2008   74  0.2658  0.0080  0.0381  0.0356  0.0482  0.03
Poblocka 1999   5  0.512  0.172  0.256  0.684  0.693  0.68
Rabcewiczowa 1932   53  0.3520  0.0036  0.0838  0.2129  0.4135  0.29
Rachmaninoff 1923   40  0.3745  0.0047  0.0749  0.0737  0.2447  0.13
Rangell 2001   61  0.3256  0.0062  0.0465  0.0454  0.0578  0.04
Richter 1976   7  0.4827  0.0012  0.1011  0.5921  0.5611  0.57
Rosen 1989   19  0.4217  0.0021  0.0913  0.5718  0.3919  0.47
Rosenthal 1930   66  0.3077  0.0074  0.0378  0.0334  0.3255  0.10
Rosenthal 1931   77  0.2551  0.0073  0.0385  0.0329  0.4251  0.11
Rosenthal 1931b   88  0.1926  0.0085  0.0383  0.0353  0.0581  0.04
Rosenthal 1931c   67  0.3044  0.0069  0.0472  0.0432  0.2458  0.10
Rosenthal 1931d   85  0.2086  0.0084  0.0379  0.0361  0.0580  0.04
Rossi 2007   80  0.2236  0.0081  0.0380  0.0334  0.2659  0.09
Rubinstein 1939   68  0.2884  0.0068  0.0470  0.0467  0.0471  0.04
Rubinstein 1952   18  0.4331  0.0013  0.1014  0.5615  0.5513  0.55
Rubinstein 1966   16  0.4372  0.0024  0.1020  0.5050  0.0740  0.19
Schilhawsky 1960   63  0.3178  0.0072  0.0382  0.0346  0.0869  0.05
Shebanova 2002   6  0.4839  0.006  0.275  0.7112  0.574  0.64
Smith 1975   62  0.3280  0.0065  0.0466  0.0447  0.0767  0.05
Sokolov 2002   54  0.3435  0.0051  0.0656  0.0636  0.2746  0.13
Sztompka 1959   20  0.4122  0.007  0.1210  0.6118  0.559  0.58
Tomsic 1995   37  0.3848  0.0035  0.1031  0.3119  0.4130  0.36
Uninsky 1932   36  0.3814  0.0139  0.0840  0.1734  0.2241  0.19
Uninsky 1971   43  0.3630  0.0043  0.0642  0.1563  0.0561  0.09
Wasowski 1980   39  0.3742  0.0046  0.0654  0.0645  0.0963  0.07
Zak 1937   28  0.4060  0.0040  0.0639  0.1935  0.2039  0.19
Zak 1951   35  0.3938  0.0045  0.0645  0.1236  0.1944  0.15
Average   1  0.611  0.641  0.631  0.9035  0.3114  0.53
Random 1   89  0.0188  0.0089  0.0289  0.023  0.5256  0.10
Random 2   90  -0.0163  0.0090  0.0190  0.0160  0.0590  0.02
Random 3   91  -0.0676  0.0091  0.0191  0.0152  0.0491  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).