Rubinstein 1966

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   50  0.5459  0.0064  0.0475  0.0463  0.0580  0.04
Anderszewski 2003   19  0.6432  0.0026  0.1027  0.3927  0.4222  0.40
Ashkenazy 1981   42  0.5648  0.0053  0.0655  0.0660  0.0571  0.05
Bacha 2000   39  0.5722  0.0041  0.1136  0.276  0.4929  0.36
Badura 1965   66  0.4653  0.0071  0.0474  0.0454  0.0670  0.05
Barbosa 1983   21  0.6429  0.0013  0.1213  0.532  0.717  0.61
Biret 1990   17  0.6525  0.0018  0.1116  0.5120  0.4118  0.46
Blet 2003   61  0.5087  0.0059  0.0847  0.0836  0.1848  0.12
Block 1995   65  0.4655  0.0043  0.0544  0.1227  0.2741  0.18
Blumental 1952   36  0.5975  0.0036  0.0739  0.2370  0.0452  0.10
Boshniakovich 1969   57  0.5138  0.0044  0.0543  0.1465  0.0458  0.07
Brailowsky 1960   51  0.5351  0.0067  0.0750  0.0733  0.2946  0.14
Bunin 1987   86  0.3052  0.0086  0.0388  0.0380  0.0389  0.03
Bunin 1987b   87  0.2864  0.0087  0.0387  0.0365  0.0484  0.03
Chiu 1999   31  0.608  0.0238  0.0838  0.2317  0.3533  0.28
Cohen 1997   49  0.5473  0.0046  0.0660  0.065  0.4943  0.17
Cortot 1951   69  0.4571  0.0070  0.0481  0.0441  0.1657  0.08
Csalog 1996   53  0.5365  0.0022  0.1031  0.357  0.5120  0.42
Czerny 1949   45  0.5542  0.0054  0.0749  0.0770  0.0468  0.05
Czerny 1990   6  0.706  0.0210  0.1110  0.6118  0.4712  0.54
Duchoud 2007   73  0.4276  0.0074  0.0480  0.0449  0.0669  0.05
Ezaki 2006   15  0.6512  0.0124  0.0826  0.4226  0.3821  0.40
Falvay 1989   25  0.6217  0.0031  0.0833  0.3015  0.4926  0.38
Farrell 1958   16  0.6534  0.009  0.1012  0.576  0.628  0.59
Ferenczy 1958   71  0.4381  0.0077  0.0565  0.0583  0.0378  0.04
Fliere 1977   20  0.6416  0.0123  0.0724  0.4651  0.0642  0.17
Fou 1978   22  0.6427  0.0015  0.1114  0.5319  0.4517  0.49
Francois 1956   55  0.5261  0.0057  0.0657  0.0630  0.4045  0.15
Friedman 1923   43  0.5521  0.0062  0.0946  0.0940  0.1947  0.13
Friedman 1923b   46  0.5523  0.0061  0.0566  0.0541  0.1755  0.09
Friedman 1930   58  0.5167  0.0069  0.0478  0.0461  0.0577  0.04
Garcia 2007   64  0.4868  0.0063  0.0569  0.0544  0.1356  0.08
Garcia 2007b   56  0.5228  0.0050  0.0654  0.0635  0.2549  0.12
Gierzod 1998   18  0.6515  0.0125  0.1019  0.5043  0.1634  0.28
Gornostaeva 1994   60  0.5066  0.0058  0.0748  0.0742  0.1453  0.10
Groot 1988   35  0.5919  0.0019  0.0915  0.524  0.5413  0.53
Harasiewicz 1955   26  0.6146  0.0029  0.0723  0.4638  0.2032  0.30
Hatto 1993   14  0.6633  0.0016  0.0921  0.4825  0.3125  0.39
Hatto 1997   11  0.677  0.0214  0.1320  0.5025  0.3223  0.40
Horowitz 1949   78  0.4056  0.0080  0.0476  0.0467  0.0574  0.04
Indjic 1988   12  0.6645  0.0017  0.1122  0.4625  0.3227  0.38
Kapell 1951   30  0.6010  0.0120  0.1117  0.5119  0.3919  0.45
Kissin 1993   23  0.6335  0.0021  0.1118  0.5121  0.5115  0.51
Kushner 1989   4  0.714  0.065  0.245  0.672  0.704  0.68
Luisada 1991   27  0.6182  0.0035  0.0635  0.2843  0.1438  0.20
Lushtak 2004   5  0.7113  0.014  0.196  0.653  0.753  0.70
Malcuzynski 1961   79  0.4040  0.0060  0.0562  0.0545  0.0759  0.06
Magaloff 1978   37  0.5843  0.0040  0.0841  0.1826  0.3037  0.23
Magin 1975   54  0.5214  0.0149  0.0653  0.0658  0.0464  0.05
Michalowski 1933   88  0.2783  0.0088  0.0482  0.0483  0.0386  0.03
Milkina 1970   13  0.669  0.017  0.297  0.6415  0.549  0.59
Mohovich 1999   10  0.6720  0.008  0.168  0.6312  0.646  0.63
Moravec 1969   68  0.4569  0.0076  0.0573  0.0551  0.0560  0.05
Morozova 2008   29  0.6177  0.0027  0.0629  0.3721  0.4224  0.39
Neighaus 1950   48  0.5462  0.0047  0.0658  0.0673  0.0472  0.05
Niedzielski 1931   75  0.4184  0.0073  0.0477  0.0484  0.0383  0.03
Ohlsson 1999   28  0.6139  0.0037  0.0734  0.2936  0.2135  0.25
Osinska 1989   7  0.695  0.026  0.234  0.6814  0.595  0.63
Pachmann 1927   82  0.3860  0.0085  0.0483  0.0459  0.0476  0.04
Paderewski 1930   77  0.4049  0.0075  0.0571  0.0573  0.0375  0.04
Perlemuter 1992   38  0.5778  0.0056  0.0568  0.0532  0.2450  0.11
Pierdomenico 2008   67  0.4618  0.0042  0.0642  0.1525  0.3936  0.24
Poblocka 1999   62  0.5024  0.0052  0.0567  0.0542  0.1654  0.09
Rabcewiczowa 1932   47  0.5457  0.0033  0.0740  0.2236  0.1939  0.20
Rachmaninoff 1923   52  0.5385  0.0055  0.0652  0.0670  0.0463  0.05
Rangell 2001   70  0.4447  0.0045  0.0545  0.1034  0.2844  0.17
Richter 1976   83  0.3758  0.0079  0.0479  0.0480  0.0385  0.03
Rosen 1989   32  0.6070  0.0032  0.0632  0.3432  0.2831  0.31
Rosenthal 1930   85  0.3554  0.0084  0.0485  0.0478  0.0387  0.03
Rosenthal 1931   76  0.4188  0.0078  0.0563  0.0551  0.0666  0.05
Rosenthal 1931b   80  0.4079  0.0081  0.0386  0.0346  0.0873  0.05
Rosenthal 1931c   81  0.3831  0.0082  0.0570  0.0561  0.0482  0.04
Rosenthal 1931d   84  0.3672  0.0083  0.0484  0.0462  0.0481  0.04
Rossi 2007   44  0.5550  0.0051  0.0751  0.0712  0.4540  0.18
Rubinstein 1939   2  0.753  0.072  0.423  0.703  0.762  0.73
Rubinstein 1952   3  0.741  0.481  0.472  0.781  0.801  0.79
Rubinstein 1966   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Schilhawsky 1960   59  0.5144  0.0065  0.0656  0.0669  0.0467  0.05
Shebanova 2002   24  0.6236  0.0028  0.1025  0.4534  0.2630  0.34
Smith 1975   33  0.6026  0.0034  0.0730  0.3616  0.3928  0.37
Sokolov 2002   63  0.4989  0.0066  0.0659  0.0658  0.0462  0.05
Sztompka 1959   34  0.5980  0.0039  0.0737  0.2560  0.0551  0.11
Tomsic 1995   40  0.5737  0.0030  0.0728  0.383  0.6516  0.50
Uninsky 1932   72  0.4263  0.0072  0.0572  0.0582  0.0379  0.04
Uninsky 1971   74  0.4290  0.0068  0.0564  0.0557  0.0665  0.05
Wasowski 1980   41  0.5730  0.0048  0.0561  0.0557  0.0661  0.05
Zak 1937   8  0.6811  0.0112  0.1711  0.5915  0.5111  0.55
Zak 1951   9  0.6841  0.0011  0.129  0.6215  0.5010  0.56
Average   1  0.772  0.153  0.451  0.8230  0.3314  0.52
Random 1   91  -0.1591  0.0091  0.0191  0.0187  0.0191  0.01
Random 2   89  -0.0386  0.0090  0.0190  0.0157  0.0490  0.02
Random 3   90  -0.0774  0.0089  0.0289  0.0248  0.0588  0.03

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).