Rubinstein 1952

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   39  0.4817  0.0150  0.1046  0.1076  0.0354  0.05
Anderszewski 2003   75  0.2863  0.0070  0.0653  0.0687  0.0366  0.04
Ashkenazy 1981   54  0.4158  0.0068  0.0473  0.0485  0.0285  0.03
Bacha 2000   38  0.4860  0.0036  0.0623  0.4140  0.1027  0.20
Badura 1965   86  0.2168  0.0083  0.0383  0.0381  0.0383  0.03
Barbosa 1983   37  0.4851  0.0022  0.0921  0.4315  0.3416  0.38
Biret 1990   19  0.5750  0.0021  0.0817  0.4548  0.0635  0.16
Blet 2003   28  0.5588  0.0027  0.0722  0.4356  0.0536  0.15
Block 1995   78  0.2626  0.0025  0.0545  0.1371  0.0445  0.07
Blumental 1952   6  0.678  0.026  0.2824  0.417  0.3617  0.38
Boshniakovich 1969   80  0.2575  0.0081  0.0388  0.0380  0.0384  0.03
Brailowsky 1960   49  0.4427  0.0034  0.0635  0.3321  0.3319  0.33
Bunin 1987   84  0.2245  0.0088  0.0481  0.0477  0.0386  0.03
Bunin 1987b   83  0.2276  0.0087  0.0478  0.0476  0.0379  0.03
Chiu 1999   42  0.4674  0.0038  0.0640  0.2536  0.1925  0.22
Cohen 1997   18  0.5712  0.017  0.1311  0.503  0.506  0.50
Cortot 1951   58  0.4086  0.0061  0.0471  0.0475  0.0476  0.04
Csalog 1996   4  0.685  0.058  0.154  0.552  0.525  0.53
Czerny 1949   81  0.2585  0.0076  0.0482  0.0474  0.0471  0.04
Czerny 1990   23  0.5664  0.0018  0.0826  0.3843  0.1030  0.19
Duchoud 2007   69  0.3213  0.0175  0.0563  0.0582  0.0282  0.03
Ezaki 2006   44  0.4567  0.0048  0.1048  0.1085  0.0350  0.05
Falvay 1989   5  0.6729  0.005  0.177  0.522  0.604  0.56
Farrell 1958   11  0.5938  0.0010  0.1620  0.4424  0.3513  0.39
Ferenczy 1958   56  0.4077  0.0057  0.0751  0.0770  0.0453  0.05
Fliere 1977   47  0.4430  0.0049  0.1047  0.1079  0.0447  0.06
Fou 1978   14  0.5918  0.0115  0.069  0.5251  0.0533  0.16
Francois 1956   32  0.5182  0.0037  0.0632  0.3439  0.1326  0.21
Friedman 1923   77  0.2778  0.0079  0.0477  0.0485  0.0387  0.03
Friedman 1923b   76  0.2759  0.0078  0.0476  0.0470  0.0474  0.04
Friedman 1930   79  0.2565  0.0080  0.0480  0.0464  0.0568  0.04
Garcia 2007   46  0.4483  0.0055  0.0568  0.0569  0.0373  0.04
Garcia 2007b   43  0.4522  0.0056  0.0654  0.0671  0.0458  0.05
Gierzod 1998   48  0.4444  0.0054  0.0569  0.0579  0.0372  0.04
Gornostaeva 1994   68  0.3447  0.0051  0.0750  0.0786  0.0275  0.04
Groot 1988   16  0.587  0.0320  0.086  0.5423  0.3510  0.43
Harasiewicz 1955   70  0.3056  0.0073  0.0570  0.0578  0.0377  0.04
Hatto 1993   60  0.3746  0.0062  0.0655  0.0670  0.0457  0.05
Hatto 1997   62  0.3748  0.0063  0.0561  0.0574  0.0469  0.04
Horowitz 1949   85  0.2231  0.0084  0.0385  0.0386  0.0288  0.02
Indjic 1988   63  0.3754  0.0064  0.0559  0.0573  0.0465  0.04
Kapell 1951   12  0.5961  0.0024  0.0834  0.3371  0.0442  0.11
Kissin 1993   24  0.5632  0.0035  0.0636  0.3144  0.0931  0.17
Kushner 1989   21  0.5714  0.0119  0.0913  0.4951  0.0534  0.16
Luisada 1991   22  0.574  0.0514  0.0718  0.4542  0.1324  0.24
Lushtak 2004   7  0.6443  0.004  0.1214  0.487  0.419  0.44
Malcuzynski 1961   87  0.1741  0.0085  0.0387  0.0378  0.0380  0.03
Magaloff 1978   15  0.5820  0.0112  0.1027  0.387  0.4311  0.40
Magin 1975   57  0.4015  0.0165  0.0566  0.0545  0.0849  0.06
Michalowski 1933   82  0.2457  0.0082  0.0384  0.0385  0.0381  0.03
Milkina 1970   25  0.5535  0.0016  0.098  0.5241  0.1622  0.29
Mohovich 1999   8  0.633  0.069  0.203  0.5725  0.427  0.49
Moravec 1969   27  0.5555  0.0040  0.0633  0.3422  0.4118  0.37
Morozova 2008   34  0.5121  0.0145  0.0943  0.1845  0.0940  0.13
Neighaus 1950   72  0.3039  0.0074  0.0656  0.0666  0.0556  0.05
Niedzielski 1931   59  0.3889  0.0053  0.0564  0.0563  0.0460  0.04
Ohlsson 1999   65  0.3628  0.0066  0.0472  0.0456  0.0563  0.04
Osinska 1989   36  0.5036  0.0031  0.0525  0.4061  0.0439  0.13
Pachmann 1927   74  0.2971  0.0069  0.0475  0.0451  0.0461  0.04
Paderewski 1930   41  0.4784  0.0044  0.0941  0.2254  0.0443  0.09
Perlemuter 1992   26  0.5510  0.0217  0.0819  0.4448  0.0632  0.16
Pierdomenico 2008   61  0.3742  0.0059  0.0567  0.0560  0.0552  0.05
Poblocka 1999   64  0.3640  0.0067  0.0565  0.0571  0.0459  0.04
Rabcewiczowa 1932   3  0.6811  0.013  0.1710  0.5010  0.408  0.45
Rachmaninoff 1923   52  0.4272  0.0047  0.0849  0.0863  0.0448  0.06
Rangell 2001   73  0.3023  0.0026  0.0844  0.1671  0.0346  0.07
Richter 1976   88  0.1024  0.0086  0.0386  0.0383  0.0289  0.02
Rosen 1989   20  0.5752  0.0028  0.0615  0.4657  0.0537  0.15
Rosenthal 1930   51  0.4369  0.0046  0.0657  0.0639  0.1044  0.08
Rosenthal 1931   35  0.5173  0.0039  0.0829  0.3616  0.4314  0.39
Rosenthal 1931b   33  0.5187  0.0041  0.1030  0.3615  0.4412  0.40
Rosenthal 1931c   30  0.5379  0.0023  0.1031  0.3615  0.4315  0.39
Rosenthal 1931d   40  0.4890  0.0042  0.0739  0.2816  0.3920  0.33
Rossi 2007   53  0.4180  0.0043  0.0842  0.1923  0.3223  0.25
Rubinstein 1939   1  0.781  0.451  0.451  0.672  0.641  0.65
Rubinstein 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1966   2  0.702  0.072  0.412  0.612  0.592  0.60
Schilhawsky 1960   67  0.3553  0.0071  0.0652  0.0682  0.0367  0.04
Shebanova 2002   29  0.5419  0.0130  0.0728  0.3760  0.0441  0.12
Smith 1975   31  0.5234  0.0029  0.0716  0.4627  0.2121  0.31
Sokolov 2002   45  0.4525  0.0052  0.0474  0.0484  0.0378  0.03
Sztompka 1959   55  0.4133  0.0058  0.0560  0.0585  0.0362  0.04
Tomsic 1995   9  0.626  0.0311  0.205  0.543  0.653  0.59
Uninsky 1932   66  0.3637  0.0072  0.0562  0.0582  0.0370  0.04
Uninsky 1971   71  0.3062  0.0077  0.0479  0.0469  0.0464  0.04
Wasowski 1980   50  0.4349  0.0060  0.0558  0.0567  0.0551  0.05
Zak 1937   13  0.5966  0.0032  0.0538  0.3043  0.1328  0.20
Zak 1951   10  0.5916  0.0133  0.0837  0.3142  0.1329  0.20
Average   17  0.589  0.0213  0.0812  0.4968  0.0438  0.14
Random 1   91  -0.1770  0.0090  0.0190  0.0128  0.2155  0.05
Random 2   89  -0.0391  0.0089  0.0189  0.0175  0.0390  0.02
Random 3   90  -0.1581  0.0091  0.0191  0.0152  0.0591  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).