Rubinstein 1952

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   24  0.5819  0.0152  0.0654  0.0681  0.0359  0.04
Anderszewski 2003   79  0.2164  0.0075  0.0370  0.0388  0.0279  0.02
Ashkenazy 1981   55  0.4237  0.0043  0.0543  0.1172  0.0347  0.06
Bacha 2000   20  0.6347  0.0022  0.1024  0.4014  0.4215  0.41
Badura 1965   57  0.4139  0.0049  0.0463  0.0475  0.0368  0.03
Barbosa 1983   43  0.5222  0.0135  0.0632  0.2152  0.0437  0.09
Biret 1990   38  0.5332  0.0036  0.0633  0.2062  0.0438  0.09
Blet 2003   48  0.5178  0.0063  0.0556  0.0569  0.0458  0.04
Block 1995   44  0.5254  0.0033  0.0641  0.1342  0.1132  0.12
Blumental 1952   75  0.2680  0.0073  0.0379  0.0386  0.0285  0.02
Boshniakovich 1969   21  0.6333  0.0024  0.1019  0.4538  0.1720  0.28
Brailowsky 1960   9  0.7229  0.0011  0.119  0.548  0.4611  0.50
Bunin 1987   65  0.389  0.0378  0.0560  0.0587  0.0269  0.03
Bunin 1987b   64  0.3827  0.0077  0.0376  0.0387  0.0275  0.02
Chiu 1999   41  0.5230  0.0019  0.1018  0.4631  0.2217  0.32
Cohen 1997   46  0.5126  0.0010  0.0815  0.492  0.5410  0.51
Cortot 1951   73  0.3270  0.0083  0.0286  0.0290  0.0189  0.01
Csalog 1996   8  0.733  0.113  0.155  0.591  0.612  0.60
Czerny 1949   62  0.4066  0.0072  0.0380  0.0387  0.0282  0.02
Czerny 1990   45  0.5173  0.0064  0.0747  0.0783  0.0351  0.05
Duchoud 2007   63  0.3956  0.0068  0.0371  0.0386  0.0283  0.02
Ezaki 2006   35  0.5440  0.0058  0.0653  0.0644  0.0940  0.07
Falvay 1989   2  0.7915  0.016  0.123  0.6310  0.437  0.52
Farrell 1958   39  0.5386  0.0061  0.0749  0.0787  0.0257  0.04
Ferenczy 1958   60  0.4067  0.0080  0.0368  0.0364  0.0367  0.03
Fliere 1977   13  0.6888  0.0017  0.1114  0.5066  0.0430  0.14
Fou 1978   6  0.742  0.152  0.184  0.625  0.524  0.57
Francois 1956   25  0.5834  0.0045  0.0544  0.1065  0.0448  0.06
Friedman 1923   91  -0.3889  0.0091  0.0191  0.0191  0.0191  0.01
Friedman 1923b   90  -0.3690  0.0090  0.0290  0.0291  0.0188  0.01
Friedman 1930   89  -0.1445  0.0089  0.0373  0.0388  0.0180  0.02
Garcia 2007   81  0.1975  0.0084  0.0285  0.0288  0.0187  0.01
Garcia 2007b   85  -0.0369  0.0086  0.0288  0.0289  0.0190  0.01
Gierzod 1998   36  0.5357  0.0042  0.0640  0.1374  0.0345  0.06
Gornostaeva 1994   30  0.5614  0.0134  0.0639  0.1358  0.0442  0.07
Groot 1988   7  0.738  0.0316  0.1116  0.4824  0.2716  0.36
Harasiewicz 1955   72  0.3311  0.0157  0.0557  0.0567  0.0360  0.04
Hatto 1993   82  0.1736  0.0040  0.0538  0.1486  0.0253  0.05
Hatto 1997   78  0.2243  0.0041  0.0537  0.1485  0.0250  0.05
Horowitz 1949   27  0.5744  0.0027  0.0825  0.3448  0.0631  0.14
Indjic 1988   80  0.2141  0.0037  0.0636  0.1574  0.0341  0.07
Kapell 1951   56  0.4248  0.0074  0.0374  0.0389  0.0274  0.02
Kissin 1993   3  0.7610  0.025  0.111  0.639  0.505  0.56
Kushner 1989   34  0.5587  0.0046  0.0464  0.0482  0.0363  0.03
Luisada 1991   49  0.5142  0.0030  0.0629  0.2767  0.0434  0.10
Lushtak 2004   51  0.507  0.0529  0.0631  0.2238  0.1525  0.18
Malcuzynski 1961   23  0.6025  0.0053  0.0750  0.0757  0.0449  0.05
Magaloff 1978   15  0.6618  0.0120  0.1013  0.5043  0.1024  0.22
Magin 1975   66  0.3853  0.0050  0.0561  0.0587  0.0262  0.03
Michalowski 1933   84  -0.0274  0.0088  0.0378  0.0390  0.0177  0.02
Milkina 1970   1  0.821  0.211  0.202  0.632  0.601  0.61
Mohovich 1999   11  0.7016  0.0123  0.1221  0.4337  0.1223  0.23
Moravec 1969   22  0.6123  0.0138  0.0530  0.2343  0.0829  0.14
Morozova 2008   61  0.4081  0.0048  0.0465  0.0485  0.0266  0.03
Neighaus 1950   40  0.5368  0.0055  0.0846  0.0871  0.0352  0.05
Niedzielski 1931   54  0.4561  0.0062  0.0559  0.0569  0.0356  0.04
Ohlsson 1999   31  0.566  0.069  0.0926  0.3133  0.1822  0.24
Osinska 1989   19  0.6412  0.0121  0.0922  0.4347  0.0528  0.15
Pachmann 1927   18  0.6521  0.0113  0.1212  0.515  0.586  0.54
Paderewski 1930   33  0.5562  0.0059  0.0655  0.0677  0.0264  0.03
Perlemuter 1992   47  0.5149  0.0054  0.0748  0.0738  0.1236  0.09
Pierdomenico 2008   28  0.5660  0.0025  0.1223  0.4236  0.1521  0.25
Poblocka 1999   29  0.5650  0.0044  0.0545  0.0949  0.0443  0.06
Rabcewiczowa 1932   70  0.3446  0.0079  0.0382  0.0384  0.0273  0.02
Rachmaninoff 1923   76  0.2691  0.0071  0.0375  0.0387  0.0272  0.02
Rangell 2001   17  0.6652  0.0012  0.108  0.548  0.4112  0.47
Richter 1976   42  0.5259  0.0051  0.0558  0.0543  0.0744  0.06
Rosen 1989   37  0.5371  0.0039  0.0642  0.1280  0.0346  0.06
Rosenthal 1930   69  0.3738  0.0067  0.0369  0.0385  0.0284  0.02
Rosenthal 1931   58  0.4182  0.0032  0.0735  0.1839  0.1526  0.16
Rosenthal 1931b   59  0.4079  0.0031  0.0634  0.1836  0.1527  0.16
Rosenthal 1931c   53  0.4783  0.0056  0.0651  0.0679  0.0361  0.04
Rosenthal 1931d   32  0.5576  0.0026  0.1027  0.3126  0.2719  0.29
Rossi 2007   83  0.1535  0.0070  0.0377  0.0383  0.0271  0.02
Rubinstein 1939   26  0.574  0.074  0.1917  0.471  0.588  0.52
Rubinstein 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1966   4  0.7620  0.018  0.176  0.584  0.633  0.60
Schilhawsky 1960   68  0.3755  0.0069  0.0372  0.0379  0.0365  0.03
Shebanova 2002   5  0.7613  0.017  0.167  0.5510  0.499  0.52
Smith 1975   52  0.4851  0.0060  0.0652  0.0681  0.0355  0.04
Sokolov 2002   67  0.3724  0.0076  0.0283  0.0287  0.0270  0.02
Sztompka 1959   74  0.2763  0.0081  0.0287  0.0287  0.0276  0.02
Tomsic 1995   12  0.705  0.0618  0.1020  0.4529  0.2318  0.32
Uninsky 1932   77  0.2377  0.0085  0.0381  0.0387  0.0281  0.02
Uninsky 1971   71  0.3431  0.0082  0.0289  0.0290  0.0278  0.02
Wasowski 1980   50  0.5058  0.0047  0.0562  0.0579  0.0354  0.04
Zak 1937   10  0.7065  0.0014  0.1910  0.5317  0.3513  0.43
Zak 1951   14  0.6728  0.0015  0.1511  0.5122  0.3414  0.42
Average   16  0.6617  0.0128  0.0728  0.2958  0.0433  0.11
Random 1   88  -0.0884  0.0065  0.0467  0.0436  0.1839  0.08
Random 2   86  -0.0572  0.0066  0.0466  0.0425  0.2535  0.10
Random 3   87  -0.0685  0.0087  0.0284  0.0286  0.0286  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).