Rubinstein 1966

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   47  0.6044  0.0057  0.0553  0.0566  0.0466  0.04
Anderszewski 2003   25  0.6753  0.0043  0.1238  0.2460  0.0440  0.10
Ashkenazy 1981   43  0.6148  0.0047  0.0465  0.0471  0.0470  0.04
Bacha 2000   24  0.6723  0.0129  0.0521  0.3731  0.1524  0.24
Badura 1965   67  0.4649  0.0082  0.0481  0.0465  0.0468  0.04
Barbosa 1983   23  0.6729  0.0015  0.0815  0.426  0.497  0.45
Biret 1990   9  0.7234  0.0018  0.0819  0.3930  0.2021  0.28
Blet 2003   32  0.6465  0.0023  0.0717  0.4031  0.2217  0.30
Block 1995   76  0.4231  0.0014  0.0743  0.1754  0.0543  0.09
Blumental 1952   20  0.6876  0.0024  0.0727  0.3343  0.0933  0.17
Boshniakovich 1969   65  0.4645  0.0060  0.0478  0.0476  0.0469  0.04
Brailowsky 1960   19  0.6989  0.0035  0.0632  0.2925  0.2818  0.28
Bunin 1987   87  0.1954  0.0088  0.0383  0.0381  0.0290  0.02
Bunin 1987b   88  0.1772  0.0087  0.0384  0.0384  0.0287  0.02
Chiu 1999   17  0.705  0.0216  0.1020  0.3819  0.2914  0.33
Cohen 1997   37  0.6220  0.0121  0.0624  0.369  0.448  0.40
Cortot 1951   55  0.5586  0.0063  0.0646  0.0681  0.0371  0.04
Csalog 1996   72  0.4421  0.0128  0.0639  0.2320  0.3420  0.28
Czerny 1949   63  0.4758  0.0069  0.0472  0.0476  0.0383  0.03
Czerny 1990   8  0.726  0.0132  0.0725  0.3666  0.0341  0.10
Duchoud 2007   77  0.4277  0.0076  0.0462  0.0475  0.0384  0.03
Ezaki 2006   14  0.7059  0.0042  0.1040  0.2245  0.0836  0.13
Falvay 1989   46  0.6013  0.0131  0.0741  0.1927  0.4219  0.28
Farrell 1958   6  0.7435  0.006  0.0910  0.4616  0.456  0.45
Ferenczy 1958   68  0.4673  0.0077  0.0480  0.0484  0.0381  0.03
Fliere 1977   21  0.6838  0.0040  0.0929  0.3170  0.0437  0.11
Fou 1978   31  0.6514  0.0119  0.0718  0.4041  0.1128  0.21
Francois 1956   53  0.5679  0.0054  0.0471  0.0452  0.0572  0.04
Friedman 1923   38  0.6224  0.0051  0.0549  0.0565  0.0474  0.04
Friedman 1923b   41  0.6228  0.0050  0.0555  0.0567  0.0552  0.05
Friedman 1930   45  0.6052  0.0061  0.0473  0.0459  0.0565  0.04
Garcia 2007   56  0.5569  0.0059  0.0466  0.0463  0.0467  0.04
Garcia 2007b   60  0.5068  0.0067  0.0477  0.0478  0.0473  0.04
Gierzod 1998   44  0.6017  0.0144  0.0744  0.1367  0.0448  0.07
Gornostaeva 1994   61  0.4980  0.0066  0.0476  0.0480  0.0386  0.03
Groot 1988   26  0.674  0.0213  0.084  0.537  0.513  0.52
Harasiewicz 1955   54  0.5681  0.0064  0.0464  0.0444  0.0951  0.06
Hatto 1993   18  0.6918  0.0134  0.0633  0.2743  0.1232  0.18
Hatto 1997   12  0.7116  0.0138  0.0734  0.2744  0.1231  0.18
Horowitz 1949   70  0.4442  0.0070  0.0468  0.0468  0.0460  0.04
Indjic 1988   13  0.7040  0.0039  0.0837  0.2744  0.1230  0.18
Kapell 1951   57  0.5439  0.0036  0.0736  0.2777  0.0342  0.09
Kissin 1993   42  0.6126  0.0026  0.0526  0.3542  0.1029  0.19
Kushner 1989   16  0.7012  0.0117  0.0814  0.4643  0.1127  0.22
Luisada 1991   4  0.7436  0.007  0.109  0.4932  0.2116  0.32
Lushtak 2004   2  0.7732  0.003  0.1613  0.4614  0.3110  0.38
Malcuzynski 1961   85  0.2625  0.0084  0.0386  0.0363  0.0476  0.03
Magaloff 1978   29  0.6664  0.0033  0.0731  0.2930  0.2422  0.26
Magin 1975   64  0.4722  0.0158  0.0552  0.0583  0.0359  0.04
Michalowski 1933   83  0.3182  0.0085  0.0385  0.0384  0.0379  0.03
Milkina 1970   28  0.669  0.0112  0.1011  0.4631  0.2612  0.35
Mohovich 1999   5  0.7415  0.015  0.098  0.5116  0.474  0.49
Moravec 1969   75  0.4270  0.0078  0.0479  0.0442  0.1346  0.07
Morozova 2008   30  0.6546  0.0037  0.0735  0.2743  0.1034  0.16
Neighaus 1950   48  0.5930  0.0049  0.0550  0.0560  0.0554  0.05
Niedzielski 1931   58  0.5250  0.0062  0.0558  0.0568  0.0358  0.04
Ohlsson 1999   39  0.6210  0.0146  0.0551  0.0583  0.0363  0.04
Osinska 1989   10  0.7241  0.0010  0.087  0.5133  0.2313  0.34
Pachmann 1927   66  0.4687  0.0083  0.0482  0.0477  0.0377  0.03
Paderewski 1930   52  0.5661  0.0055  0.0648  0.0682  0.0362  0.04
Perlemuter 1992   22  0.6855  0.0027  0.0723  0.3640  0.1426  0.22
Pierdomenico 2008   74  0.4360  0.0052  0.0560  0.0546  0.0850  0.06
Poblocka 1999   80  0.3719  0.0171  0.0467  0.0470  0.0457  0.04
Rabcewiczowa 1932   40  0.6283  0.0030  0.0630  0.3056  0.0438  0.11
Rachmaninoff 1923   35  0.638  0.0145  0.0545  0.1168  0.0447  0.07
Rangell 2001   82  0.3233  0.0053  0.0647  0.0659  0.0453  0.05
Richter 1976   86  0.2571  0.0086  0.0469  0.0469  0.0461  0.04
Rosen 1989   34  0.6347  0.0022  0.0616  0.4137  0.1425  0.24
Rosenthal 1930   81  0.3675  0.0079  0.0475  0.0478  0.0385  0.03
Rosenthal 1931   69  0.4591  0.0072  0.0561  0.0543  0.1344  0.08
Rosenthal 1931b   71  0.4466  0.0074  0.0559  0.0552  0.0655  0.05
Rosenthal 1931c   78  0.4227  0.0073  0.0470  0.0443  0.1349  0.07
Rosenthal 1931d   73  0.4388  0.0075  0.0557  0.0541  0.1345  0.08
Rossi 2007   36  0.6262  0.0025  0.0542  0.1818  0.3523  0.25
Rubinstein 1939   1  0.851  0.391  0.381  0.671  0.681  0.67
Rubinstein 1952   15  0.702  0.222  0.412  0.592  0.612  0.60
Rubinstein 1966   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Schilhawsky 1960   59  0.5156  0.0065  0.0554  0.0567  0.0464  0.04
Shebanova 2002   33  0.6437  0.0041  0.0928  0.3370  0.0439  0.11
Smith 1975   27  0.6651  0.0020  0.0612  0.4624  0.2415  0.33
Sokolov 2002   62  0.4863  0.0068  0.0463  0.0488  0.0275  0.03
Sztompka 1959   49  0.5990  0.0048  0.0474  0.0483  0.0378  0.03
Tomsic 1995   51  0.5843  0.0011  0.0722  0.376  0.605  0.47
Uninsky 1932   79  0.3974  0.0080  0.0387  0.0377  0.0382  0.03
Uninsky 1971   84  0.3184  0.0081  0.0388  0.0374  0.0480  0.03
Wasowski 1980   50  0.5857  0.0056  0.0556  0.0572  0.0456  0.04
Zak 1937   7  0.727  0.019  0.125  0.5324  0.2511  0.36
Zak 1951   11  0.7111  0.018  0.116  0.5323  0.279  0.38
Average   3  0.753  0.094  0.103  0.5666  0.0435  0.15
Random 1   91  -0.2667  0.0091  0.0191  0.0184  0.0291  0.01
Random 2   89  -0.0685  0.0090  0.0190  0.0159  0.0388  0.02
Random 3   90  -0.1878  0.0089  0.0189  0.0162  0.0489  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).