Rubinstein 1939

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   34  0.5415  0.0148  0.0461  0.0459  0.0568  0.04
Anderszewski 2003   36  0.5340  0.0030  0.0732  0.3167  0.0440  0.11
Ashkenazy 1981   39  0.528  0.0166  0.0551  0.0568  0.0472  0.04
Bacha 2000   33  0.5428  0.0033  0.0630  0.3212  0.417  0.36
Badura 1965   76  0.4143  0.0063  0.0465  0.0473  0.0470  0.04
Barbosa 1983   25  0.5778  0.0024  0.0825  0.3527  0.416  0.38
Biret 1990   21  0.5833  0.0023  0.0921  0.3764  0.0438  0.12
Blet 2003   61  0.4565  0.0058  0.0381  0.0353  0.0665  0.04
Block 1995   73  0.4184  0.0054  0.0550  0.0557  0.0557  0.05
Blumental 1952   22  0.5854  0.0015  0.0626  0.3467  0.0437  0.12
Boshniakovich 1969   53  0.4852  0.0053  0.0469  0.0455  0.0571  0.04
Brailowsky 1960   59  0.4734  0.0067  0.0555  0.0543  0.1846  0.09
Bunin 1987   85  0.3566  0.0086  0.0471  0.0483  0.0388  0.03
Bunin 1987b   86  0.3387  0.0087  0.0466  0.0486  0.0380  0.03
Chiu 1999   48  0.4979  0.0068  0.0464  0.0484  0.0378  0.03
Cohen 1997   43  0.5174  0.0037  0.0737  0.239  0.4313  0.31
Cortot 1951   62  0.4542  0.0060  0.0375  0.0336  0.2551  0.09
Csalog 1996   67  0.4372  0.0043  0.0542  0.1038  0.1535  0.12
Czerny 1949   26  0.566  0.0132  0.0719  0.3952  0.0628  0.15
Czerny 1990   6  0.6173  0.005  0.1010  0.4239  0.1915  0.28
Duchoud 2007   71  0.4227  0.0077  0.0460  0.0455  0.0569  0.04
Ezaki 2006   20  0.583  0.0414  0.0718  0.3961  0.0529  0.14
Falvay 1989   37  0.5253  0.0041  0.0641  0.1440  0.2122  0.17
Farrell 1958   7  0.6137  0.003  0.284  0.5710  0.544  0.55
Ferenczy 1958   80  0.3988  0.0081  0.0386  0.0368  0.0385  0.03
Fliere 1977   14  0.5963  0.0021  0.1014  0.4174  0.0433  0.13
Fou 1978   15  0.5918  0.006  0.107  0.5031  0.249  0.35
Francois 1956   68  0.4380  0.0057  0.0459  0.0458  0.0575  0.04
Friedman 1923   44  0.5021  0.0051  0.0553  0.0542  0.1255  0.08
Friedman 1923b   41  0.5146  0.0049  0.0548  0.0544  0.1354  0.08
Friedman 1930   65  0.4429  0.0073  0.0383  0.0359  0.0567  0.04
Garcia 2007   60  0.4625  0.0059  0.0380  0.0377  0.0486  0.03
Garcia 2007b   42  0.5141  0.0039  0.0639  0.2048  0.0545  0.10
Gierzod 1998   23  0.5889  0.0027  0.0823  0.3769  0.0436  0.12
Gornostaeva 1994   52  0.4836  0.0045  0.0647  0.0676  0.0373  0.04
Groot 1988   51  0.4819  0.0031  0.0736  0.2464  0.0542  0.11
Harasiewicz 1955   30  0.5547  0.0035  0.0731  0.3276  0.0443  0.11
Hatto 1993   17  0.5935  0.0019  0.0620  0.3943  0.1119  0.21
Hatto 1997   8  0.6020  0.0012  0.089  0.4349  0.0627  0.16
Horowitz 1949   83  0.3716  0.0084  0.0387  0.0373  0.0481  0.03
Indjic 1988   10  0.6048  0.0020  0.0816  0.3956  0.0530  0.14
Kapell 1951   27  0.5610  0.0126  0.1129  0.3353  0.0534  0.13
Kissin 1993   18  0.5968  0.0016  0.0615  0.4046  0.0723  0.17
Kushner 1989   9  0.6044  0.0010  0.108  0.4958  0.0526  0.16
Luisada 1991   13  0.5911  0.0122  0.0722  0.3748  0.0724  0.16
Lushtak 2004   19  0.5839  0.0011  0.1024  0.3629  0.2912  0.32
Malcuzynski 1961   72  0.4138  0.0055  0.0554  0.0560  0.0463  0.04
Magaloff 1978   24  0.5749  0.0025  0.1128  0.3319  0.3411  0.33
Magin 1975   46  0.5050  0.0052  0.0645  0.0684  0.0362  0.04
Michalowski 1933   87  0.2681  0.0085  0.0385  0.0380  0.0383  0.03
Milkina 1970   3  0.627  0.014  0.473  0.6717  0.503  0.58
Mohovich 1999   12  0.6026  0.007  0.105  0.5325  0.435  0.48
Moravec 1969   64  0.4469  0.0070  0.0373  0.0348  0.0658  0.04
Morozova 2008   11  0.609  0.0117  0.0613  0.4132  0.2910  0.34
Neighaus 1950   50  0.4812  0.0162  0.0467  0.0480  0.0474  0.04
Niedzielski 1931   79  0.3930  0.0076  0.0377  0.0367  0.0379  0.03
Ohlsson 1999   40  0.5217  0.0050  0.0458  0.0479  0.0464  0.04
Osinska 1989   16  0.5962  0.009  0.106  0.5051  0.0721  0.19
Pachmann 1927   75  0.4157  0.0079  0.0472  0.0437  0.2148  0.09
Paderewski 1930   69  0.4285  0.0069  0.0556  0.0540  0.1353  0.08
Perlemuter 1992   56  0.4783  0.0072  0.0382  0.0387  0.0376  0.03
Pierdomenico 2008   81  0.3858  0.0080  0.0462  0.0470  0.0461  0.04
Poblocka 1999   49  0.4882  0.0047  0.0457  0.0463  0.0560  0.04
Rabcewiczowa 1932   29  0.5513  0.018  0.1017  0.3920  0.318  0.35
Rachmaninoff 1923   38  0.525  0.0136  0.0738  0.2067  0.0447  0.09
Rangell 2001   70  0.4270  0.0042  0.0544  0.0939  0.2132  0.14
Richter 1976   82  0.3759  0.0083  0.0379  0.0363  0.0482  0.03
Rosen 1989   28  0.5545  0.0028  0.0733  0.3149  0.0631  0.14
Rosenthal 1930   84  0.3590  0.0082  0.0376  0.0383  0.0387  0.03
Rosenthal 1931   77  0.4075  0.0074  0.0378  0.0327  0.2849  0.09
Rosenthal 1931b   78  0.3976  0.0078  0.0549  0.0539  0.1852  0.09
Rosenthal 1931c   63  0.4532  0.0044  0.0543  0.1021  0.4420  0.21
Rosenthal 1931d   74  0.4131  0.0075  0.0374  0.0324  0.4141  0.11
Rossi 2007   54  0.4877  0.0046  0.0646  0.0614  0.4225  0.16
Rubinstein 1939   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1952   2  0.741  0.571  0.571  0.782  0.751  0.76
Rubinstein 1966   1  0.752  0.192  0.672  0.762  0.702  0.73
Schilhawsky 1960   57  0.4760  0.0065  0.0463  0.0467  0.0466  0.04
Shebanova 2002   35  0.5423  0.0034  0.0634  0.2768  0.0444  0.10
Smith 1975   31  0.5471  0.0029  0.0927  0.3432  0.2414  0.29
Sokolov 2002   55  0.4861  0.0061  0.0468  0.0467  0.0377  0.03
Sztompka 1959   32  0.5424  0.0038  0.0835  0.2663  0.0539  0.11
Tomsic 1995   47  0.4951  0.0040  0.0640  0.1519  0.4816  0.27
Uninsky 1932   58  0.4722  0.0064  0.0552  0.0557  0.0556  0.05
Uninsky 1971   66  0.4467  0.0071  0.0384  0.0376  0.0484  0.03
Wasowski 1980   45  0.5055  0.0056  0.0470  0.0467  0.0559  0.04
Zak 1937   4  0.6214  0.0118  0.0612  0.4143  0.1118  0.21
Zak 1951   5  0.624  0.0213  0.0811  0.4242  0.1217  0.22
Random 1   88  -0.0164  0.0088  0.0288  0.0212  0.4450  0.09
Random 2   89  -0.0756  0.0090  0.0190  0.0179  0.0290  0.01
Random 3   90  -0.1186  0.0089  0.0189  0.0169  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).