Blumental 1952

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   18  0.699  0.035  0.087  0.3428  0.3011  0.32
Anderszewski 2003   60  0.5566  0.0074  0.0473  0.0461  0.0473  0.04
Ashkenazy 1981   19  0.6935  0.0053  0.0553  0.0558  0.0477  0.04
Bacha 2000   8  0.7216  0.0110  0.069  0.291  0.545  0.40
Badura 1965   73  0.4779  0.0082  0.0377  0.0368  0.0485  0.03
Barbosa 1983   55  0.5721  0.0113  0.0539  0.1018  0.3034  0.17
Biret 1990   3  0.7518  0.017  0.085  0.398  0.533  0.45
Blet 2003   48  0.6063  0.0055  0.0461  0.0441  0.1453  0.07
Block 1995   84  0.3171  0.0083  0.0375  0.0369  0.0486  0.03
Blumental 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Boshniakovich 1969   75  0.4657  0.0044  0.0443  0.0871  0.0460  0.06
Brailowsky 1960   39  0.6247  0.0046  0.0457  0.0415  0.3841  0.12
Bunin 1987   83  0.3283  0.0086  0.0380  0.0367  0.0488  0.03
Bunin 1987b   85  0.3181  0.0085  0.0383  0.0366  0.0481  0.03
Chiu 1999   7  0.7315  0.018  0.0914  0.2510  0.3514  0.30
Cohen 1997   15  0.7076  0.0023  0.0428  0.176  0.4719  0.28
Cortot 1951   46  0.6069  0.0064  0.0647  0.0655  0.0466  0.05
Csalog 1996   59  0.5577  0.0017  0.0529  0.164  0.4818  0.28
Czerny 1949   63  0.5214  0.0120  0.0540  0.1043  0.1543  0.12
Czerny 1990   1  0.771  0.271  0.271  0.602  0.551  0.57
Duchoud 2007   71  0.4960  0.0078  0.0378  0.0360  0.0484  0.03
Ezaki 2006   5  0.738  0.0411  0.0610  0.2923  0.3412  0.31
Falvay 1989   34  0.6449  0.0047  0.0549  0.0514  0.5139  0.16
Farrell 1958   9  0.7170  0.0026  0.0527  0.1814  0.4517  0.28
Ferenczy 1958   47  0.607  0.0415  0.0619  0.2112  0.3915  0.29
Fliere 1977   41  0.6132  0.0150  0.0465  0.0467  0.0467  0.04
Fou 1978   4  0.7444  0.0025  0.058  0.3222  0.3013  0.31
Francois 1956   32  0.6456  0.0031  0.0431  0.169  0.4920  0.28
Friedman 1923   54  0.5754  0.0072  0.0464  0.0444  0.1256  0.07
Friedman 1923b   51  0.5867  0.0071  0.0472  0.0444  0.1255  0.07
Friedman 1930   49  0.6084  0.0069  0.0387  0.0349  0.0762  0.05
Garcia 2007   14  0.7065  0.0042  0.0534  0.1332  0.2337  0.17
Garcia 2007b   40  0.6259  0.0040  0.0630  0.1635  0.2032  0.18
Gierzod 1998   57  0.5739  0.0037  0.0523  0.1941  0.1536  0.17
Gornostaeva 1994   72  0.4853  0.0068  0.0376  0.0337  0.1063  0.05
Groot 1988   53  0.5829  0.0148  0.0470  0.0453  0.0664  0.05
Harasiewicz 1955   45  0.6041  0.0041  0.0632  0.1352  0.0650  0.09
Hatto 1993   33  0.6437  0.0059  0.0550  0.0550  0.0665  0.05
Hatto 1997   29  0.6574  0.0061  0.0468  0.0445  0.0859  0.06
Horowitz 1949   80  0.4385  0.0084  0.0554  0.0572  0.0470  0.04
Indjic 1988   30  0.6550  0.0062  0.0648  0.0652  0.0658  0.06
Kapell 1951   27  0.6534  0.006  0.083  0.4217  0.2510  0.32
Kissin 1993   44  0.6025  0.0133  0.0422  0.2035  0.1931  0.19
Kushner 1989   38  0.6261  0.0054  0.0467  0.0444  0.1151  0.07
Luisada 1991   17  0.6927  0.0136  0.0633  0.1343  0.1044  0.11
Lushtak 2004   6  0.7386  0.0024  0.0617  0.2224  0.2425  0.23
Malcuzynski 1961   81  0.3812  0.0219  0.0436  0.1227  0.2333  0.17
Magaloff 1978   26  0.6646  0.0045  0.0460  0.0417  0.3642  0.12
Magin 1975   56  0.576  0.0518  0.0441  0.0941  0.1049  0.09
Michalowski 1933   70  0.4945  0.0066  0.0384  0.0339  0.1552  0.07
Milkina 1970   28  0.653  0.069  0.0721  0.2026  0.3123  0.25
Mohovich 1999   22  0.6813  0.0228  0.0511  0.2818  0.469  0.36
Moravec 1969   11  0.712  0.073  0.122  0.423  0.632  0.51
Morozova 2008   37  0.6319  0.0163  0.0552  0.0571  0.0475  0.04
Neighaus 1950   66  0.5168  0.0067  0.0469  0.0469  0.0479  0.04
Niedzielski 1931   50  0.5926  0.0116  0.0525  0.1928  0.3621  0.26
Ohlsson 1999   68  0.5073  0.0077  0.0456  0.0473  0.0471  0.04
Osinska 1989   31  0.6543  0.0034  0.0516  0.2430  0.2524  0.24
Pachmann 1927   74  0.4688  0.0081  0.0386  0.0352  0.0483  0.03
Paderewski 1930   16  0.6938  0.0022  0.0512  0.284  0.508  0.37
Perlemuter 1992   13  0.7020  0.0129  0.0524  0.1932  0.2128  0.20
Pierdomenico 2008   82  0.3833  0.0079  0.0474  0.0458  0.0568  0.04
Poblocka 1999   77  0.4428  0.0138  0.0520  0.2132  0.2327  0.22
Rabcewiczowa 1932   2  0.774  0.062  0.204  0.415  0.484  0.44
Rachmaninoff 1923   23  0.6731  0.0121  0.0544  0.0836  0.1346  0.10
Rangell 2001   86  0.2987  0.0080  0.0385  0.0345  0.0578  0.04
Richter 1976   87  0.2278  0.0087  0.0381  0.0375  0.0382  0.03
Rosen 1989   35  0.6340  0.0035  0.0513  0.2721  0.3216  0.29
Rosenthal 1930   76  0.4624  0.0160  0.0463  0.0425  0.2348  0.10
Rosenthal 1931   67  0.5051  0.0056  0.0458  0.0412  0.4640  0.14
Rosenthal 1931b   64  0.5236  0.0057  0.0646  0.0612  0.5038  0.17
Rosenthal 1931c   62  0.5223  0.0132  0.0538  0.1112  0.4726  0.23
Rosenthal 1931d   65  0.5172  0.0058  0.0845  0.0811  0.4930  0.20
Rossi 2007   10  0.7117  0.0112  0.0615  0.241  0.616  0.38
Rubinstein 1939   12  0.7075  0.0027  0.0626  0.1819  0.3422  0.25
Rubinstein 1952   25  0.675  0.054  0.166  0.3623  0.417  0.38
Rubinstein 1966   20  0.6848  0.0030  0.0542  0.0926  0.3335  0.17
Schilhawsky 1960   69  0.5042  0.0073  0.0379  0.0359  0.0574  0.04
Shebanova 2002   52  0.5830  0.0143  0.0537  0.1265  0.0454  0.07
Smith 1975   42  0.6122  0.0139  0.0535  0.1319  0.3029  0.20
Sokolov 2002   61  0.5252  0.0070  0.0382  0.0364  0.0380  0.03
Sztompka 1959   43  0.6110  0.0314  0.0518  0.2158  0.0547  0.10
Tomsic 1995   78  0.4380  0.0076  0.0466  0.0431  0.3245  0.11
Uninsky 1932   58  0.5662  0.0065  0.0462  0.0459  0.0576  0.04
Uninsky 1971   79  0.4355  0.0075  0.0555  0.0565  0.0472  0.04
Wasowski 1980   36  0.6311  0.0249  0.0459  0.0442  0.0957  0.06
Zak 1937   21  0.6858  0.0051  0.0471  0.0445  0.0661  0.05
Zak 1951   24  0.6764  0.0052  0.0551  0.0563  0.0469  0.04
Random 1   90  -0.2889  0.0090  0.0190  0.0175  0.0390  0.02
Random 2   88  -0.0482  0.0089  0.0188  0.0166  0.0389  0.02
Random 3   89  -0.1990  0.0088  0.0189  0.0144  0.0987  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).