Rubinstein 1939

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   52  0.3322  0.0056  0.0553  0.0558  0.0564  0.05
Anderszewski 2003   12  0.4421  0.0014  0.1311  0.5515  0.597  0.57
Ashkenazy 1981   36  0.3567  0.0052  0.0551  0.0552  0.0758  0.06
Bacha 2000   45  0.3445  0.0038  0.0535  0.1618  0.4727  0.27
Badura 1965   66  0.3046  0.0057  0.0549  0.0547  0.0756  0.06
Barbosa 1983   21  0.4039  0.0031  0.0731  0.2256  0.0643  0.11
Biret 1990   14  0.4343  0.0020  0.1018  0.4614  0.6110  0.53
Blet 2003   83  0.2213  0.0088  0.0374  0.0384  0.0384  0.03
Block 1995   68  0.2888  0.0062  0.0467  0.0470  0.0474  0.04
Blumental 1952   28  0.3719  0.0034  0.0632  0.2143  0.1434  0.17
Boshniakovich 1969   77  0.2472  0.0067  0.0465  0.0481  0.0475  0.04
Brailowsky 1960   32  0.3638  0.0043  0.0443  0.0935  0.2238  0.14
Bunin 1987   55  0.3349  0.0064  0.0462  0.0448  0.0765  0.05
Bunin 1987b   62  0.3148  0.0065  0.0548  0.0556  0.0560  0.05
Chiu 1999   40  0.3542  0.0063  0.0461  0.0461  0.0567  0.04
Cohen 1997   48  0.3431  0.0054  0.0552  0.0526  0.4935  0.16
Cortot 1951   43  0.3459  0.0029  0.0830  0.2314  0.5720  0.36
Csalog 1996   37  0.3535  0.0051  0.0547  0.0539  0.1348  0.08
Czerny 1949   4  0.526  0.025  0.494  0.722  0.842  0.78
Czerny 1990   23  0.3925  0.007  0.1420  0.4534  0.4116  0.43
Duchoud 2007   38  0.3541  0.0042  0.0540  0.1120  0.4231  0.21
Ezaki 2006   29  0.3789  0.0037  0.0534  0.1746  0.1040  0.13
Falvay 1989   10  0.458  0.018  0.1112  0.5411  0.4612  0.50
Farrell 1958   11  0.4423  0.0011  0.176  0.603  0.675  0.63
Ferenczy 1958   74  0.2647  0.0077  0.0373  0.0355  0.0673  0.04
Fliere 1977   34  0.3681  0.0035  0.0636  0.1573  0.0447  0.08
Fou 1978   17  0.4229  0.0013  0.1714  0.5224  0.4313  0.47
Francois 1956   61  0.3251  0.0060  0.0460  0.0425  0.3842  0.12
Friedman 1923   79  0.2390  0.0083  0.0377  0.0374  0.0490  0.03
Friedman 1923b   81  0.2370  0.0082  0.0289  0.0257  0.0589  0.03
Friedman 1930   86  0.2014  0.0084  0.0285  0.0274  0.0485  0.03
Garcia 2007   87  0.2087  0.0075  0.0383  0.0369  0.0487  0.03
Garcia 2007b   73  0.2633  0.0061  0.0469  0.0472  0.0478  0.04
Gierzod 1998   46  0.3452  0.0040  0.0537  0.1547  0.0744  0.10
Gornostaeva 1994   19  0.4237  0.0018  0.1021  0.4221  0.5114  0.46
Groot 1988   53  0.3330  0.0033  0.0533  0.1865  0.0449  0.08
Harasiewicz 1955   8  0.4624  0.0012  0.238  0.5930  0.3515  0.45
Hatto 1993   18  0.4218  0.0021  0.1016  0.4734  0.2022  0.31
Hatto 1997   6  0.475  0.056  0.277  0.6012  0.566  0.58
Horowitz 1949   80  0.2326  0.0086  0.0287  0.0265  0.0483  0.03
Indjic 1988   20  0.4275  0.0022  0.1217  0.4634  0.2818  0.36
Kapell 1951   22  0.3928  0.0017  0.1122  0.4136  0.2124  0.29
Kissin 1993   56  0.3362  0.0039  0.0638  0.1540  0.2832  0.20
Kushner 1989   15  0.4316  0.009  0.1413  0.5235  0.2617  0.37
Luisada 1991   51  0.3364  0.0069  0.0550  0.0564  0.0659  0.05
Lushtak 2004   58  0.3271  0.0045  0.0445  0.0851  0.0557  0.06
Malcuzynski 1961   25  0.3850  0.0023  0.1119  0.4639  0.2023  0.30
Magaloff 1978   47  0.3486  0.0036  0.0539  0.1359  0.0450  0.07
Magin 1975   41  0.3573  0.0049  0.0466  0.0470  0.0468  0.04
Michalowski 1933   84  0.2153  0.0076  0.0380  0.0358  0.0672  0.04
Milkina 1970   2  0.553  0.162  0.302  0.783  0.801  0.79
Mohovich 1999   50  0.3378  0.0046  0.0464  0.0450  0.0576  0.04
Moravec 1969   9  0.459  0.0115  0.1510  0.568  0.549  0.55
Morozova 2008   7  0.4711  0.0010  0.149  0.588  0.568  0.57
Neighaus 1950   59  0.3282  0.0053  0.0459  0.0457  0.0577  0.04
Niedzielski 1931   76  0.2560  0.0071  0.0372  0.0369  0.0481  0.03
Ohlsson 1999   16  0.437  0.0124  0.1023  0.3929  0.3021  0.34
Osinska 1989   26  0.3868  0.0027  0.0724  0.3848  0.0636  0.15
Pachmann 1927   75  0.2561  0.0078  0.0375  0.0354  0.0671  0.04
Paderewski 1930   85  0.2085  0.0085  0.0382  0.0359  0.0570  0.04
Perlemuter 1992   78  0.2458  0.0087  0.0379  0.0386  0.0379  0.03
Pierdomenico 2008   82  0.2355  0.0080  0.0381  0.0358  0.0480  0.03
Poblocka 1999   49  0.3456  0.0059  0.0470  0.0460  0.0566  0.04
Rabcewiczowa 1932   24  0.3940  0.0016  0.1015  0.4919  0.5411  0.51
Rachmaninoff 1923   33  0.3634  0.0026  0.0829  0.2435  0.2528  0.24
Rangell 2001   42  0.3574  0.0028  0.0827  0.2928  0.4519  0.36
Richter 1976   31  0.3666  0.0050  0.0455  0.0456  0.0662  0.05
Rosen 1989   57  0.3236  0.0068  0.0457  0.0483  0.0388  0.03
Rosenthal 1930   63  0.3154  0.0032  0.0641  0.1040  0.2437  0.15
Rosenthal 1931   60  0.3215  0.0058  0.0468  0.0431  0.4041  0.13
Rosenthal 1931b   71  0.2744  0.0072  0.0371  0.0343  0.1553  0.07
Rosenthal 1931c   54  0.3310  0.0155  0.0456  0.0436  0.2146  0.09
Rosenthal 1931d   70  0.2832  0.0070  0.0646  0.0624  0.3439  0.14
Rossi 2007   88  0.1876  0.0081  0.0286  0.0244  0.1654  0.06
Rubinstein 1939   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1952   5  0.512  0.173  0.275  0.675  0.694  0.68
Rubinstein 1966   3  0.544  0.084  0.393  0.7610  0.683  0.72
Schilhawsky 1960   67  0.2827  0.0074  0.0376  0.0344  0.1063  0.05
Shebanova 2002   65  0.3065  0.0066  0.0554  0.0553  0.0755  0.06
Smith 1975   30  0.3679  0.0048  0.0463  0.0443  0.1351  0.07
Sokolov 2002   44  0.3463  0.0041  0.0442  0.1033  0.3433  0.18
Sztompka 1959   39  0.3520  0.0044  0.0444  0.0851  0.0652  0.07
Tomsic 1995   64  0.3183  0.0047  0.0458  0.0451  0.0761  0.05
Uninsky 1932   35  0.3512  0.0019  0.0826  0.3031  0.2626  0.28
Uninsky 1971   13  0.4317  0.0025  0.1425  0.3736  0.2325  0.29
Wasowski 1980   27  0.3757  0.0030  0.0728  0.2638  0.1829  0.22
Zak 1937   72  0.2677  0.0079  0.0384  0.0365  0.0569  0.04
Zak 1951   69  0.2891  0.0073  0.0378  0.0377  0.0482  0.03
Average   1  0.591  0.401  0.391  0.8354  0.0630  0.22
Random 1   89  0.0469  0.0089  0.0288  0.0211  0.4745  0.10
Random 2   90  0.0280  0.0090  0.0290  0.0252  0.0586  0.03
Random 3   91  -0.0784  0.0091  0.0191  0.0168  0.0391  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).