Rubinstein 1952

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   31  0.5321  0.0147  0.0655  0.0683  0.0361  0.04
Anderszewski 2003   83  0.2434  0.0077  0.0563  0.0577  0.0358  0.04
Ashkenazy 1981   55  0.4227  0.0062  0.0466  0.0480  0.0380  0.03
Bacha 2000   23  0.5647  0.0020  0.1021  0.4517  0.3415  0.39
Badura 1965   75  0.3184  0.0064  0.0653  0.0676  0.0362  0.04
Barbosa 1983   38  0.5053  0.0032  0.0930  0.3136  0.1828  0.24
Biret 1990   25  0.5541  0.0030  0.0727  0.3666  0.0535  0.13
Blet 2003   32  0.5385  0.0045  0.0841  0.1663  0.0443  0.08
Block 1995   63  0.3961  0.0035  0.0546  0.1069  0.0354  0.05
Blumental 1952   46  0.4639  0.0043  0.0642  0.1544  0.0936  0.12
Boshniakovich 1969   54  0.4467  0.0054  0.0656  0.0680  0.0364  0.04
Brailowsky 1960   17  0.5817  0.018  0.1214  0.5310  0.4610  0.49
Bunin 1987   77  0.3066  0.0084  0.0561  0.0587  0.0281  0.03
Bunin 1987b   76  0.3077  0.0083  0.0477  0.0488  0.0268  0.03
Chiu 1999   41  0.4987  0.0024  0.0824  0.3836  0.1925  0.27
Cohen 1997   27  0.5422  0.017  0.2116  0.511  0.588  0.54
Cortot 1951   66  0.3631  0.0078  0.0470  0.0484  0.0384  0.03
Csalog 1996   3  0.707  0.054  0.2211  0.561  0.654  0.60
Czerny 1949   70  0.3257  0.0079  0.0560  0.0577  0.0460  0.04
Czerny 1990   29  0.5449  0.0038  0.0535  0.2578  0.0342  0.09
Duchoud 2007   67  0.3544  0.0076  0.0474  0.0489  0.0277  0.03
Ezaki 2006   40  0.5026  0.0049  0.0948  0.0949  0.0544  0.07
Falvay 1989   1  0.734  0.063  0.233  0.661  0.702  0.68
Farrell 1958   20  0.5664  0.0031  0.0729  0.3143  0.1130  0.18
Ferenczy 1958   59  0.4075  0.0066  0.0384  0.0343  0.0852  0.05
Fliere 1977   21  0.5640  0.0028  0.0723  0.4449  0.0531  0.15
Fou 1978   8  0.663  0.085  0.214  0.629  0.477  0.54
Francois 1956   26  0.5432  0.0033  0.0732  0.2958  0.0537  0.12
Friedman 1923   89  -0.0580  0.0089  0.0289  0.0290  0.0191  0.01
Friedman 1923b   87  -0.0489  0.0088  0.0288  0.0290  0.0190  0.01
Friedman 1930   86  0.0583  0.0086  0.0381  0.0389  0.0288  0.02
Garcia 2007   73  0.3291  0.0075  0.0467  0.0473  0.0378  0.03
Garcia 2007b   84  0.2145  0.0074  0.0469  0.0481  0.0386  0.03
Gierzod 1998   42  0.4936  0.0051  0.0947  0.0983  0.0353  0.05
Gornostaeva 1994   53  0.4525  0.0052  0.1145  0.1174  0.0349  0.06
Groot 1988   10  0.669  0.049  0.138  0.5819  0.459  0.51
Harasiewicz 1955   72  0.3216  0.0157  0.0476  0.0470  0.0385  0.03
Hatto 1993   82  0.2746  0.0072  0.0471  0.0477  0.0383  0.03
Hatto 1997   79  0.3055  0.0073  0.0562  0.0564  0.0459  0.04
Horowitz 1949   61  0.3971  0.0063  0.0559  0.0587  0.0270  0.03
Indjic 1988   80  0.2948  0.0071  0.0383  0.0375  0.0373  0.03
Kapell 1951   36  0.5168  0.0034  0.0644  0.1142  0.1138  0.11
Kissin 1993   7  0.6611  0.0210  0.142  0.6724  0.3112  0.46
Kushner 1989   22  0.5635  0.0026  0.0922  0.4558  0.0532  0.15
Luisada 1991   28  0.5412  0.0219  0.1320  0.4536  0.1924  0.29
Lushtak 2004   19  0.576  0.0613  0.1218  0.4725  0.2520  0.34
Malcuzynski 1961   64  0.3958  0.0070  0.0382  0.0364  0.0469  0.03
Magaloff 1978   14  0.6214  0.0212  0.1110  0.5617  0.3711  0.46
Magin 1975   62  0.3918  0.0158  0.0478  0.0484  0.0267  0.03
Michalowski 1933   85  0.1033  0.0085  0.0385  0.0389  0.0287  0.02
Milkina 1970   4  0.688  0.056  0.315  0.626  0.575  0.59
Mohovich 1999   6  0.6613  0.0211  0.147  0.6027  0.3313  0.44
Moravec 1969   16  0.5815  0.0127  0.0725  0.3816  0.4016  0.39
Morozova 2008   52  0.4572  0.0044  0.0643  0.1475  0.0348  0.06
Neighaus 1950   57  0.4159  0.0061  0.0654  0.0686  0.0282  0.03
Niedzielski 1931   56  0.4186  0.0060  0.0464  0.0475  0.0366  0.03
Ohlsson 1999   49  0.4628  0.0046  0.0750  0.0750  0.0547  0.06
Osinska 1989   18  0.5719  0.0121  0.1219  0.4762  0.0433  0.14
Pachmann 1927   44  0.4724  0.0036  0.0539  0.2423  0.2827  0.26
Paderewski 1930   35  0.5181  0.0048  0.0652  0.0667  0.0356  0.04
Perlemuter 1992   30  0.5310  0.0425  0.0828  0.3132  0.1729  0.23
Pierdomenico 2008   45  0.4742  0.0050  0.0849  0.0858  0.0546  0.06
Poblocka 1999   48  0.4630  0.0056  0.0558  0.0558  0.0551  0.05
Rabcewiczowa 1932   34  0.5162  0.0037  0.0534  0.2668  0.0341  0.09
Rachmaninoff 1923   68  0.3473  0.0069  0.0472  0.0460  0.0455  0.04
Rangell 2001   43  0.4850  0.0022  0.0938  0.2447  0.0539  0.11
Richter 1976   74  0.3120  0.0155  0.0465  0.0477  0.0371  0.03
Rosen 1989   24  0.5529  0.0029  0.0626  0.3852  0.0534  0.14
Rosenthal 1930   60  0.4056  0.0065  0.0473  0.0488  0.0279  0.03
Rosenthal 1931   50  0.4678  0.0040  0.0636  0.2521  0.4121  0.32
Rosenthal 1931b   51  0.4690  0.0041  0.1037  0.2417  0.3823  0.30
Rosenthal 1931c   39  0.5060  0.0039  0.0633  0.2622  0.3722  0.31
Rosenthal 1931d   33  0.5169  0.0023  0.0831  0.307  0.5314  0.40
Rossi 2007   81  0.2879  0.0059  0.0475  0.0442  0.1145  0.07
Rubinstein 1939   5  0.671  0.251  0.256  0.602  0.633  0.61
Rubinstein 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1966   2  0.732  0.102  0.291  0.711  0.761  0.73
Schilhawsky 1960   65  0.3643  0.0068  0.0479  0.0481  0.0374  0.03
Shebanova 2002   11  0.6554  0.0014  0.0917  0.5025  0.3117  0.39
Smith 1975   37  0.5063  0.0042  0.0640  0.2158  0.0440  0.09
Sokolov 2002   58  0.4137  0.0067  0.0380  0.0369  0.0365  0.03
Sztompka 1959   69  0.3474  0.0080  0.0651  0.0686  0.0357  0.04
Tomsic 1995   9  0.6651  0.0015  0.1612  0.558  0.606  0.57
Uninsky 1932   78  0.3052  0.0082  0.0468  0.0481  0.0375  0.03
Uninsky 1971   71  0.3238  0.0081  0.0386  0.0384  0.0372  0.03
Wasowski 1980   47  0.4682  0.0053  0.0557  0.0548  0.0650  0.05
Zak 1937   12  0.6565  0.0016  0.1413  0.5332  0.2219  0.34
Zak 1951   13  0.6323  0.0017  0.149  0.5828  0.2318  0.37
Average   15  0.625  0.0618  0.1315  0.5240  0.1426  0.27
Random 1   91  -0.1276  0.0090  0.0190  0.0139  0.1963  0.04
Random 2   88  -0.0488  0.0087  0.0287  0.0256  0.0476  0.03
Random 3   90  -0.1070  0.0091  0.0191  0.0178  0.0289  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).