Rubinstein 1939

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   32  0.3068  0.0043  0.0639  0.1250  0.0650  0.08
Anderszewski 2003   13  0.3917  0.0012  0.1512  0.3914  0.539  0.45
Ashkenazy 1981   31  0.3218  0.0016  0.089  0.4268  0.0635  0.16
Bacha 2000   52  0.2434  0.0050  0.0946  0.0937  0.2137  0.14
Badura 1965   48  0.2652  0.0056  0.0462  0.0448  0.0568  0.04
Barbosa 1983   39  0.2872  0.0055  0.0470  0.0468  0.0567  0.04
Biret 1990   19  0.3641  0.0024  0.0618  0.3212  0.6410  0.45
Blet 2003   69  0.1832  0.0079  0.0469  0.0473  0.0378  0.03
Block 1995   62  0.2167  0.0064  0.0465  0.0465  0.0469  0.04
Blumental 1952   28  0.3236  0.0032  0.0631  0.1932  0.2928  0.23
Boshniakovich 1969   89  -0.0179  0.0089  0.0289  0.0286  0.0388  0.02
Brailowsky 1960   25  0.3331  0.0034  0.0628  0.2333  0.3622  0.29
Bunin 1987   56  0.2321  0.0058  0.0753  0.0772  0.0460  0.05
Bunin 1987b   53  0.2326  0.0057  0.0471  0.0462  0.0563  0.04
Chiu 1999   15  0.3735  0.0030  0.0630  0.1967  0.0544  0.10
Cohen 1997   20  0.3530  0.0023  0.0624  0.2729  0.4218  0.34
Cortot 1951   34  0.3029  0.0040  0.0540  0.1237  0.2236  0.16
Csalog 1996   27  0.326  0.0413  0.1019  0.3224  0.4014  0.36
Czerny 1949   8  0.4228  0.007  0.146  0.5510  0.804  0.66
Czerny 1990   43  0.2711  0.0127  0.0529  0.2041  0.2429  0.22
Duchoud 2007   16  0.3746  0.0026  0.0823  0.2841  0.1927  0.23
Ezaki 2006   44  0.2764  0.0052  0.0847  0.0853  0.0652  0.07
Falvay 1989   3  0.462  0.242  0.343  0.732  0.633  0.68
Farrell 1958   11  0.4015  0.0125  0.0722  0.2917  0.4813  0.37
Ferenczy 1958   58  0.2347  0.0059  0.0467  0.0435  0.5239  0.14
Fliere 1977   61  0.2245  0.0068  0.0656  0.0653  0.0658  0.06
Fou 1978   18  0.3654  0.0017  0.0913  0.3933  0.3016  0.34
Francois 1956   29  0.3259  0.0037  0.0641  0.1226  0.4826  0.24
Friedman 1923   80  0.0971  0.0087  0.0286  0.0277  0.0389  0.02
Friedman 1923b   84  0.0880  0.0088  0.0287  0.0274  0.0484  0.03
Friedman 1930   75  0.1569  0.0075  0.0374  0.0374  0.0480  0.03
Garcia 2007   86  0.0685  0.0081  0.0376  0.0383  0.0381  0.03
Garcia 2007b   79  0.0927  0.0080  0.0373  0.0369  0.0485  0.03
Gierzod 1998   68  0.1949  0.0046  0.0752  0.0737  0.2341  0.13
Gornostaeva 1994   10  0.4060  0.0010  0.1110  0.4022  0.558  0.47
Groot 1988   38  0.2881  0.0036  0.0542  0.1259  0.0651  0.08
Harasiewicz 1955   12  0.3913  0.0118  0.128  0.4534  0.2221  0.31
Hatto 1993   17  0.3739  0.0015  0.0920  0.3145  0.1332  0.20
Hatto 1997   6  0.434  0.064  0.1616  0.3723  0.3415  0.35
Horowitz 1949   63  0.2042  0.0066  0.0463  0.0461  0.0565  0.04
Indjic 1988   21  0.3443  0.0021  0.0721  0.3045  0.1331  0.20
Kapell 1951   49  0.2625  0.0035  0.0544  0.1062  0.0648  0.08
Kissin 1993   74  0.1753  0.0033  0.0743  0.1259  0.0649  0.08
Kushner 1989   37  0.2856  0.0051  0.0849  0.0855  0.0653  0.07
Luisada 1991   35  0.3055  0.0053  0.0755  0.0767  0.0557  0.06
Lushtak 2004   67  0.1948  0.0073  0.0381  0.0375  0.0482  0.03
Malcuzynski 1961   71  0.1865  0.0071  0.0558  0.0576  0.0364  0.04
Magaloff 1978   65  0.2040  0.0063  0.0466  0.0477  0.0374  0.03
Magin 1975   59  0.2373  0.0065  0.0468  0.0463  0.0562  0.04
Michalowski 1933   51  0.2533  0.0054  0.0850  0.0862  0.0654  0.07
Milkina 1970   1  0.521  0.331  0.331  0.751  0.791  0.77
Mohovich 1999   72  0.1782  0.0060  0.0464  0.0476  0.0383  0.03
Moravec 1969   2  0.485  0.053  0.282  0.742  0.762  0.75
Morozova 2008   7  0.4324  0.0019  0.1411  0.4031  0.2720  0.33
Neighaus 1950   47  0.2674  0.0044  0.0638  0.1272  0.0456  0.07
Niedzielski 1931   22  0.3370  0.0029  0.0626  0.2648  0.0740  0.13
Ohlsson 1999   5  0.448  0.028  0.145  0.6119  0.446  0.52
Osinska 1989   36  0.2937  0.0042  0.0635  0.1433  0.3230  0.21
Pachmann 1927   77  0.1150  0.0082  0.0380  0.0378  0.0477  0.03
Paderewski 1930   78  0.1086  0.0084  0.0285  0.0276  0.0387  0.02
Perlemuter 1992   70  0.1851  0.0072  0.0379  0.0366  0.0472  0.03
Pierdomenico 2008   82  0.0977  0.0074  0.0375  0.0378  0.0375  0.03
Poblocka 1999   66  0.2062  0.0070  0.0461  0.0479  0.0461  0.04
Rabcewiczowa 1932   40  0.2838  0.0038  0.0533  0.1828  0.4024  0.27
Rachmaninoff 1923   24  0.3312  0.0120  0.0827  0.2432  0.3023  0.27
Rangell 2001   73  0.1778  0.0062  0.0472  0.0464  0.0571  0.04
Richter 1976   45  0.2620  0.0031  0.0637  0.1351  0.0745  0.10
Rosen 1989   55  0.2357  0.0061  0.0559  0.0566  0.0470  0.04
Rosenthal 1930   14  0.3810  0.026  0.1317  0.3529  0.4112  0.38
Rosenthal 1931   26  0.3316  0.0122  0.0625  0.2725  0.5411  0.38
Rosenthal 1931b   42  0.2787  0.0041  0.0536  0.1429  0.4725  0.26
Rosenthal 1931c   41  0.2722  0.0039  0.0534  0.1535  0.2733  0.20
Rosenthal 1931d   60  0.2223  0.0047  0.0848  0.0822  0.4434  0.19
Rossi 2007   88  0.0261  0.0076  0.0378  0.0370  0.0473  0.03
Rubinstein 1939   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1952   23  0.337  0.049  0.147  0.4919  0.487  0.48
Rubinstein 1966   4  0.463  0.065  0.184  0.6311  0.485  0.55
Schilhawsky 1960   76  0.1219  0.0083  0.0284  0.0277  0.0479  0.03
Shebanova 2002   64  0.2075  0.0069  0.0754  0.0755  0.0855  0.07
Smith 1975   33  0.3066  0.0045  0.0657  0.0638  0.2242  0.11
Sokolov 2002   50  0.2658  0.0048  0.0851  0.0835  0.2638  0.14
Sztompka 1959   57  0.2388  0.0067  0.0460  0.0471  0.0466  0.04
Tomsic 1995   54  0.2383  0.0049  0.1045  0.1064  0.0459  0.06
Uninsky 1932   46  0.2663  0.0028  0.0532  0.1967  0.0546  0.10
Uninsky 1971   9  0.4114  0.0111  0.1615  0.3827  0.3117  0.34
Wasowski 1980   30  0.329  0.0214  0.1314  0.3936  0.2819  0.33
Zak 1937   85  0.0789  0.0086  0.0288  0.0276  0.0386  0.02
Zak 1951   81  0.0984  0.0085  0.0382  0.0374  0.0376  0.03
Random 1   87  0.0476  0.0078  0.0377  0.0311  0.3843  0.11
Random 2   83  0.0844  0.0077  0.0383  0.0323  0.3447  0.10
Random 3   90  -0.0790  0.0090  0.0190  0.0174  0.0290  0.01

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).