Rubinstein 1966

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   46  0.6049  0.0056  0.0552  0.0565  0.0466  0.04
Anderszewski 2003   24  0.6756  0.0042  0.1237  0.2459  0.0439  0.10
Ashkenazy 1981   42  0.6153  0.0046  0.0464  0.0470  0.0471  0.04
Bacha 2000   23  0.6723  0.0128  0.0520  0.3730  0.1524  0.24
Badura 1965   66  0.4645  0.0081  0.0480  0.0464  0.0569  0.04
Barbosa 1983   22  0.6729  0.0014  0.0814  0.426  0.497  0.45
Biret 1990   8  0.7233  0.0017  0.0818  0.3929  0.2021  0.28
Blet 2003   31  0.6465  0.0022  0.0716  0.4030  0.2217  0.30
Block 1995   75  0.4231  0.0013  0.0742  0.1753  0.0542  0.09
Blumental 1952   19  0.6876  0.0023  0.0726  0.3342  0.0933  0.17
Boshniakovich 1969   64  0.4646  0.0059  0.0477  0.0475  0.0470  0.04
Brailowsky 1960   18  0.6988  0.0034  0.0631  0.2924  0.2818  0.28
Bunin 1987   86  0.1957  0.0087  0.0382  0.0380  0.0289  0.02
Bunin 1987b   87  0.1769  0.0086  0.0383  0.0383  0.0286  0.02
Chiu 1999   16  0.707  0.0215  0.1019  0.3818  0.2914  0.33
Cohen 1997   36  0.6220  0.0120  0.0623  0.369  0.448  0.40
Cortot 1951   54  0.5585  0.0062  0.0645  0.0680  0.0372  0.04
Csalog 1996   71  0.4421  0.0127  0.0738  0.2319  0.3420  0.28
Czerny 1949   62  0.4728  0.0068  0.0471  0.0475  0.0383  0.03
Czerny 1990   7  0.728  0.0131  0.0724  0.3665  0.0340  0.10
Duchoud 2007   76  0.4274  0.0075  0.0561  0.0574  0.0367  0.04
Ezaki 2006   13  0.7060  0.0041  0.1039  0.2244  0.0835  0.13
Falvay 1989   45  0.6015  0.0130  0.0740  0.1927  0.4219  0.28
Farrell 1958   5  0.7432  0.005  0.099  0.4615  0.456  0.45
Ferenczy 1958   67  0.4672  0.0076  0.0479  0.0483  0.0381  0.03
Fliere 1977   20  0.6837  0.0039  0.0928  0.3169  0.0437  0.11
Fou 1978   30  0.6513  0.0118  0.0717  0.4040  0.1128  0.21
Francois 1956   52  0.5679  0.0053  0.0470  0.0451  0.0573  0.04
Friedman 1923   37  0.6224  0.0150  0.0648  0.0664  0.0456  0.05
Friedman 1923b   40  0.6226  0.0049  0.0554  0.0566  0.0552  0.05
Friedman 1930   44  0.6055  0.0060  0.0472  0.0458  0.0565  0.04
Garcia 2007   55  0.5542  0.0058  0.0465  0.0462  0.0468  0.04
Garcia 2007b   59  0.5066  0.0066  0.0476  0.0477  0.0474  0.04
Gierzod 1998   43  0.6016  0.0143  0.0743  0.1366  0.0447  0.07
Gornostaeva 1994   60  0.4980  0.0065  0.0475  0.0479  0.0385  0.03
Groot 1988   25  0.675  0.0212  0.083  0.536  0.513  0.52
Harasiewicz 1955   53  0.5677  0.0063  0.0463  0.0443  0.0950  0.06
Hatto 1993   17  0.6918  0.0133  0.0632  0.2742  0.1232  0.18
Hatto 1997   11  0.7117  0.0137  0.0733  0.2743  0.1231  0.18
Horowitz 1949   69  0.4447  0.0069  0.0467  0.0467  0.0560  0.04
Indjic 1988   12  0.7043  0.0038  0.0836  0.2743  0.1230  0.18
Kapell 1951   56  0.5441  0.0035  0.0735  0.2776  0.0341  0.09
Kissin 1993   41  0.613  0.0425  0.0625  0.3541  0.1029  0.19
Kushner 1989   15  0.7012  0.0116  0.0813  0.4642  0.1127  0.22
Luisada 1991   3  0.7436  0.006  0.108  0.4931  0.2116  0.32
Lushtak 2004   2  0.7734  0.003  0.1612  0.4613  0.3110  0.38
Malcuzynski 1961   84  0.2625  0.0183  0.0385  0.0362  0.0476  0.03
Magaloff 1978   28  0.6663  0.0032  0.0730  0.2929  0.2422  0.26
Magin 1975   63  0.4722  0.0157  0.0551  0.0582  0.0359  0.04
Michalowski 1933   82  0.3181  0.0084  0.0384  0.0383  0.0379  0.03
Milkina 1970   27  0.6610  0.0111  0.1010  0.4630  0.2612  0.35
Mohovich 1999   4  0.7414  0.014  0.097  0.5115  0.474  0.49
Moravec 1969   74  0.4270  0.0077  0.0478  0.0441  0.1345  0.07
Morozova 2008   29  0.6550  0.0036  0.0734  0.2742  0.1034  0.16
Neighaus 1950   47  0.5930  0.0048  0.0549  0.0559  0.0554  0.05
Niedzielski 1931   57  0.5251  0.0061  0.0557  0.0567  0.0458  0.04
Ohlsson 1999   38  0.6211  0.0145  0.0550  0.0582  0.0363  0.04
Osinska 1989   9  0.7244  0.009  0.086  0.5132  0.2313  0.34
Pachmann 1927   65  0.4686  0.0082  0.0481  0.0476  0.0377  0.03
Paderewski 1930   51  0.5661  0.0054  0.0647  0.0681  0.0362  0.04
Perlemuter 1992   21  0.6840  0.0026  0.0722  0.3639  0.1426  0.22
Pierdomenico 2008   73  0.4359  0.0051  0.0559  0.0545  0.0849  0.06
Poblocka 1999   79  0.3719  0.0170  0.0466  0.0469  0.0457  0.04
Rabcewiczowa 1932   39  0.6282  0.0029  0.0629  0.3055  0.0536  0.12
Rachmaninoff 1923   34  0.636  0.0244  0.0644  0.1167  0.0446  0.07
Rangell 2001   81  0.3235  0.0052  0.0646  0.0658  0.0453  0.05
Richter 1976   85  0.2571  0.0085  0.0468  0.0468  0.0461  0.04
Rosen 1989   33  0.6352  0.0021  0.0615  0.4136  0.1425  0.24
Rosenthal 1930   80  0.3675  0.0078  0.0474  0.0477  0.0384  0.03
Rosenthal 1931   68  0.4590  0.0071  0.0560  0.0542  0.1343  0.08
Rosenthal 1931b   70  0.4467  0.0073  0.0558  0.0551  0.0655  0.05
Rosenthal 1931c   77  0.4227  0.0072  0.0469  0.0442  0.1348  0.07
Rosenthal 1931d   72  0.4387  0.0074  0.0556  0.0540  0.1344  0.08
Rossi 2007   35  0.6264  0.0024  0.0541  0.1818  0.3523  0.25
Rubinstein 1939   1  0.851  0.391  0.391  0.671  0.681  0.67
Rubinstein 1952   14  0.702  0.242  0.432  0.592  0.612  0.60
Rubinstein 1966   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Schilhawsky 1960   58  0.5138  0.0064  0.0553  0.0566  0.0464  0.04
Shebanova 2002   32  0.6439  0.0040  0.0927  0.3369  0.0438  0.11
Smith 1975   26  0.6654  0.0019  0.0611  0.4623  0.2415  0.33
Sokolov 2002   61  0.4862  0.0067  0.0462  0.0487  0.0275  0.03
Sztompka 1959   48  0.5989  0.0047  0.0473  0.0482  0.0378  0.03
Tomsic 1995   50  0.5848  0.0010  0.0821  0.376  0.605  0.47
Uninsky 1932   78  0.3973  0.0079  0.0386  0.0376  0.0382  0.03
Uninsky 1971   83  0.3183  0.0080  0.0387  0.0373  0.0480  0.03
Wasowski 1980   49  0.5858  0.0055  0.0555  0.0571  0.0551  0.05
Zak 1937   6  0.729  0.018  0.124  0.5323  0.2511  0.36
Zak 1951   10  0.714  0.037  0.115  0.5322  0.279  0.38
Random 1   90  -0.2668  0.0090  0.0190  0.0183  0.0290  0.01
Random 2   88  -0.0684  0.0089  0.0189  0.0152  0.0487  0.02
Random 3   89  -0.1878  0.0088  0.0188  0.0160  0.0488  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).