Block 1995

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   39  0.5176  0.0068  0.0371  0.0373  0.0374  0.03
Anderszewski 2003   43  0.4933  0.0036  0.0540  0.1342  0.1129  0.12
Ashkenazy 1981   45  0.4832  0.0042  0.0635  0.1858  0.0444  0.08
Bacha 2000   27  0.5659  0.0029  0.0525  0.2629  0.2718  0.26
Badura 1965   75  0.3555  0.0072  0.0374  0.0370  0.0376  0.03
Barbosa 1983   79  0.2513  0.0280  0.0380  0.0383  0.0285  0.02
Biret 1990   46  0.4888  0.0070  0.0372  0.0381  0.0289  0.02
Blet 2003   49  0.4657  0.0056  0.0454  0.0457  0.0455  0.04
Block 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Blumental 1952   81  0.1811  0.0344  0.0543  0.1154  0.0447  0.07
Boshniakovich 1969   9  0.673  0.103  0.151  0.561  0.651  0.60
Brailowsky 1960   10  0.674  0.064  0.107  0.3817  0.393  0.38
Bunin 1987   67  0.3989  0.0074  0.0378  0.0372  0.0379  0.03
Bunin 1987b   68  0.3990  0.0075  0.0463  0.0472  0.0366  0.03
Chiu 1999   74  0.3550  0.0059  0.0464  0.0473  0.0363  0.03
Cohen 1997   73  0.3616  0.0119  0.0836  0.1729  0.2623  0.21
Cortot 1951   50  0.4624  0.0154  0.0453  0.0439  0.1745  0.08
Csalog 1996   77  0.3135  0.0088  0.0288  0.0275  0.0386  0.02
Czerny 1949   71  0.3846  0.0053  0.0457  0.0469  0.0373  0.03
Czerny 1990   29  0.5561  0.0057  0.0546  0.0559  0.0460  0.04
Duchoud 2007   62  0.4275  0.0073  0.0379  0.0385  0.0288  0.02
Ezaki 2006   33  0.5469  0.0047  0.0452  0.0475  0.0361  0.03
Falvay 1989   17  0.6282  0.0034  0.0532  0.2260  0.0439  0.09
Farrell 1958   31  0.5515  0.0132  0.0623  0.289  0.3112  0.29
Ferenczy 1958   61  0.4221  0.0178  0.0377  0.0371  0.0372  0.03
Fliere 1977   21  0.6027  0.0137  0.0431  0.2370  0.0434  0.10
Fou 1978   19  0.6128  0.0118  0.0810  0.3632  0.317  0.33
Francois 1956   42  0.4966  0.0058  0.0455  0.0482  0.0380  0.03
Friedman 1923   89  0.0051  0.0083  0.0370  0.0342  0.1648  0.07
Friedman 1923b   88  0.0149  0.0082  0.0284  0.0241  0.1650  0.06
Friedman 1930   82  0.1358  0.0076  0.0376  0.0372  0.0471  0.03
Garcia 2007   44  0.4836  0.0033  0.0633  0.213  0.529  0.33
Garcia 2007b   80  0.1870  0.0055  0.0547  0.0522  0.2238  0.10
Gierzod 1998   48  0.4631  0.0152  0.0461  0.0485  0.0275  0.03
Gornostaeva 1994   5  0.698  0.038  0.085  0.4027  0.2510  0.32
Groot 1988   7  0.6865  0.0015  0.0718  0.3041  0.1224  0.19
Harasiewicz 1955   35  0.5338  0.0011  0.078  0.3833  0.1917  0.27
Hatto 1993   87  0.0447  0.0085  0.0286  0.0288  0.0290  0.02
Hatto 1997   85  0.0783  0.0086  0.0287  0.0288  0.0287  0.02
Horowitz 1949   54  0.4512  0.0235  0.0539  0.1452  0.0543  0.08
Indjic 1988   86  0.0477  0.0087  0.0285  0.0289  0.0284  0.02
Kapell 1951   53  0.4525  0.0171  0.0373  0.0381  0.0282  0.02
Kissin 1993   4  0.7041  0.0012  0.0814  0.3338  0.2020  0.26
Kushner 1989   2  0.7110  0.0310  0.126  0.4029  0.288  0.33
Luisada 1991   30  0.5552  0.0040  0.0529  0.2455  0.0531  0.11
Lushtak 2004   72  0.3791  0.0067  0.0466  0.0482  0.0277  0.03
Malcuzynski 1961   3  0.7017  0.0113  0.0912  0.3443  0.1025  0.18
Magaloff 1978   1  0.751  0.181  0.184  0.4222  0.355  0.38
Magin 1975   24  0.5918  0.0125  0.0522  0.2822  0.2519  0.26
Michalowski 1933   78  0.296  0.057  0.0834  0.1853  0.0540  0.09
Milkina 1970   8  0.6884  0.0014  0.0919  0.3027  0.2614  0.28
Mohovich 1999   15  0.6429  0.0124  0.0516  0.3148  0.0433  0.11
Moravec 1969   41  0.5040  0.0048  0.0459  0.0454  0.0452  0.04
Morozova 2008   63  0.4120  0.0146  0.0449  0.0457  0.0456  0.04
Neighaus 1950   25  0.5843  0.0021  0.0513  0.3345  0.1026  0.18
Niedzielski 1931   55  0.4548  0.0050  0.0456  0.0422  0.2636  0.10
Ohlsson 1999   69  0.3853  0.0081  0.0382  0.0384  0.0283  0.02
Osinska 1989   20  0.6122  0.0138  0.0528  0.2461  0.0435  0.10
Pachmann 1927   70  0.3862  0.0062  0.0369  0.0361  0.0468  0.03
Paderewski 1930   22  0.6026  0.0130  0.0617  0.3031  0.1621  0.22
Perlemuter 1992   13  0.652  0.152  0.152  0.5314  0.422  0.47
Pierdomenico 2008   26  0.5737  0.0031  0.0620  0.2952  0.0432  0.11
Poblocka 1999   38  0.5123  0.0160  0.0448  0.0473  0.0362  0.03
Rabcewiczowa 1932   56  0.4563  0.0065  0.0368  0.0354  0.0464  0.03
Rachmaninoff 1923   58  0.4378  0.0049  0.0460  0.0456  0.0453  0.04
Rangell 2001   12  0.655  0.056  0.1011  0.3531  0.2116  0.27
Richter 1976   16  0.6330  0.0127  0.0527  0.2528  0.1722  0.21
Rosen 1989   6  0.687  0.035  0.099  0.3822  0.386  0.38
Rosenthal 1930   51  0.4573  0.0064  0.0451  0.0461  0.0458  0.04
Rosenthal 1931   32  0.5587  0.0028  0.0630  0.2430  0.3015  0.27
Rosenthal 1931b   28  0.5660  0.0026  0.0626  0.2621  0.3213  0.29
Rosenthal 1931c   34  0.5479  0.0041  0.0544  0.1145  0.0937  0.10
Rosenthal 1931d   14  0.6480  0.0016  0.0821  0.2819  0.3411  0.31
Rossi 2007   47  0.479  0.039  0.1015  0.321  0.454  0.38
Rubinstein 1939   84  0.0871  0.0089  0.0289  0.0275  0.0381  0.02
Rubinstein 1952   37  0.5254  0.0045  0.0642  0.1141  0.1330  0.12
Rubinstein 1966   64  0.4056  0.0077  0.0375  0.0372  0.0369  0.03
Schilhawsky 1960   59  0.4345  0.0051  0.0458  0.0471  0.0370  0.03
Shebanova 2002   36  0.5244  0.0043  0.0538  0.1472  0.0349  0.06
Smith 1975   18  0.6268  0.0017  0.083  0.4259  0.0427  0.13
Sokolov 2002   40  0.5014  0.0122  0.0545  0.1052  0.0546  0.07
Sztompka 1959   66  0.3942  0.0020  0.0641  0.1141  0.1528  0.13
Tomsic 1995   23  0.6064  0.0039  0.0737  0.1667  0.0442  0.08
Uninsky 1932   76  0.3339  0.0079  0.0465  0.0458  0.0557  0.04
Uninsky 1971   60  0.4319  0.0166  0.0467  0.0465  0.0454  0.04
Wasowski 1980   52  0.4585  0.0069  0.0381  0.0344  0.0851  0.05
Zak 1937   65  0.4074  0.0063  0.0462  0.0478  0.0365  0.03
Zak 1951   57  0.4467  0.0061  0.0450  0.0477  0.0367  0.03
Average   11  0.6634  0.0023  0.0624  0.2869  0.0341  0.09
Random 1   90  -0.0486  0.0090  0.0190  0.0134  0.1959  0.04
Random 2   91  -0.1181  0.0091  0.0191  0.0177  0.0291  0.01
Random 3   83  0.0872  0.0084  0.0283  0.0249  0.0578  0.03

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).