Rubinstein 1966

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   14  0.6556  0.0027  0.1027  0.3147  0.0628  0.14
Anderszewski 2003   75  0.4028  0.0071  0.0373  0.0380  0.0284  0.02
Ashkenazy 1981   51  0.5251  0.0053  0.0558  0.0583  0.0279  0.03
Bacha 2000   27  0.6052  0.0058  0.0463  0.0455  0.0550  0.04
Badura 1965   67  0.4645  0.0020  0.1124  0.4130  0.2814  0.34
Barbosa 1983   34  0.576  0.046  0.138  0.5317  0.397  0.45
Biret 1990   23  0.6285  0.0039  0.0540  0.1567  0.0345  0.07
Blet 2003   9  0.6962  0.0023  0.1116  0.4534  0.1620  0.27
Block 1995   74  0.4063  0.0070  0.0372  0.0375  0.0375  0.03
Blumental 1952   77  0.3570  0.0079  0.0287  0.0261  0.0477  0.03
Boshniakovich 1969   39  0.569  0.0221  0.1020  0.4324  0.2615  0.33
Brailowsky 1960   36  0.5726  0.0038  0.0634  0.1842  0.1030  0.13
Bunin 1987   53  0.5187  0.0065  0.0548  0.0557  0.0464  0.04
Bunin 1987b   52  0.5283  0.0064  0.0555  0.0570  0.0355  0.04
Chiu 1999   65  0.4615  0.0125  0.1422  0.4338  0.1421  0.25
Cohen 1997   80  0.3386  0.0028  0.0642  0.1435  0.1625  0.15
Cortot 1951   64  0.4657  0.0080  0.0284  0.0280  0.0389  0.02
Csalog 1996   24  0.6218  0.0130  0.0728  0.2717  0.4413  0.34
Czerny 1949   60  0.4744  0.0047  0.0551  0.0564  0.0460  0.04
Czerny 1990   30  0.5946  0.0033  0.0636  0.1765  0.0439  0.08
Duchoud 2007   37  0.5731  0.0061  0.0470  0.0454  0.0462  0.04
Ezaki 2006   20  0.628  0.0216  0.0826  0.3938  0.1222  0.22
Falvay 1989   13  0.6668  0.0024  0.1221  0.4347  0.0524  0.15
Farrell 1958   21  0.6248  0.0050  0.0464  0.0459  0.0454  0.04
Ferenczy 1958   40  0.5612  0.0162  0.0465  0.0454  0.0459  0.04
Fliere 1977   6  0.7213  0.015  0.135  0.6038  0.1418  0.29
Fou 1978   7  0.711  0.381  0.381  0.666  0.522  0.59
Francois 1956   35  0.5753  0.0035  0.0532  0.2171  0.0341  0.08
Friedman 1923   88  -0.0381  0.0090  0.0190  0.0180  0.0391  0.02
Friedman 1923b   89  -0.0366  0.0091  0.0191  0.0183  0.0388  0.02
Friedman 1930   84  0.0658  0.0075  0.0285  0.0280  0.0385  0.02
Garcia 2007   81  0.2521  0.0186  0.0286  0.0285  0.0286  0.02
Garcia 2007b   85  0.0473  0.0087  0.0379  0.0386  0.0290  0.02
Gierzod 1998   45  0.5379  0.0066  0.0557  0.0575  0.0361  0.04
Gornostaeva 1994   28  0.6027  0.0026  0.1313  0.4651  0.0429  0.14
Groot 1988   8  0.704  0.0511  0.087  0.5336  0.1717  0.30
Harasiewicz 1955   82  0.2541  0.0056  0.0554  0.0577  0.0365  0.04
Hatto 1993   66  0.4659  0.0042  0.0639  0.1651  0.0440  0.08
Hatto 1997   46  0.5316  0.0140  0.0635  0.1844  0.0733  0.11
Horowitz 1949   54  0.5050  0.0032  0.0641  0.1540  0.1131  0.13
Indjic 1988   55  0.4980  0.0041  0.0538  0.1746  0.0535  0.09
Kapell 1951   44  0.5477  0.0068  0.0553  0.0582  0.0270  0.03
Kissin 1993   16  0.6432  0.0018  0.1010  0.5140  0.1719  0.29
Kushner 1989   25  0.6225  0.0029  0.0629  0.2661  0.0434  0.10
Luisada 1991   26  0.6122  0.0117  0.0815  0.4548  0.0523  0.15
Lushtak 2004   48  0.5267  0.0037  0.0633  0.2167  0.0437  0.09
Malcuzynski 1961   19  0.6338  0.0051  0.0552  0.0565  0.0456  0.04
Magaloff 1978   38  0.5754  0.0057  0.0550  0.0562  0.0353  0.04
Magin 1975   73  0.4055  0.0078  0.0378  0.0382  0.0282  0.02
Michalowski 1933   83  0.1082  0.0083  0.0374  0.0384  0.0372  0.03
Milkina 1970   2  0.767  0.037  0.156  0.5718  0.385  0.47
Mohovich 1999   4  0.732  0.123  0.132  0.6515  0.384  0.50
Moravec 1969   31  0.5923  0.0152  0.0467  0.0463  0.0451  0.04
Morozova 2008   43  0.5424  0.0022  0.1223  0.4249  0.0526  0.14
Neighaus 1950   32  0.5939  0.0034  0.0631  0.2285  0.0246  0.07
Niedzielski 1931   76  0.3888  0.0084  0.0380  0.0387  0.0281  0.02
Ohlsson 1999   29  0.6074  0.0043  0.0543  0.1360  0.0444  0.07
Osinska 1989   17  0.6414  0.018  0.1512  0.4825  0.2712  0.36
Pachmann 1927   33  0.5837  0.0019  0.1018  0.4417  0.466  0.45
Paderewski 1930   41  0.5689  0.0055  0.0559  0.0561  0.0357  0.04
Perlemuter 1992   62  0.4772  0.0048  0.0646  0.0664  0.0352  0.04
Pierdomenico 2008   58  0.4860  0.0045  0.0545  0.1147  0.0543  0.07
Poblocka 1999   15  0.6434  0.0046  0.0547  0.0547  0.0547  0.05
Rabcewiczowa 1932   63  0.4749  0.0054  0.0468  0.0469  0.0369  0.03
Rachmaninoff 1923   78  0.3429  0.0074  0.0469  0.0469  0.0368  0.03
Rangell 2001   18  0.6330  0.0010  0.1014  0.4514  0.3011  0.37
Richter 1976   68  0.4564  0.0073  0.0371  0.0381  0.0371  0.03
Rosen 1989   42  0.5465  0.0049  0.0461  0.0485  0.0276  0.03
Rosenthal 1930   57  0.4940  0.0069  0.0466  0.0462  0.0463  0.04
Rosenthal 1931   69  0.4542  0.0044  0.0544  0.1141  0.1232  0.11
Rosenthal 1931b   72  0.4171  0.0067  0.0549  0.0555  0.0549  0.05
Rosenthal 1931c   50  0.5261  0.0059  0.0556  0.0562  0.0366  0.04
Rosenthal 1931d   61  0.4769  0.0060  0.0560  0.0549  0.0548  0.05
Rossi 2007   87  0.0084  0.0085  0.0282  0.0276  0.0380  0.02
Rubinstein 1939   11  0.6710  0.029  0.1111  0.494  0.553  0.52
Rubinstein 1952   1  0.763  0.062  0.244  0.636  0.581  0.60
Rubinstein 1966   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Schilhawsky 1960   71  0.4375  0.0072  0.0376  0.0377  0.0373  0.03
Shebanova 2002   12  0.6635  0.0015  0.0819  0.4327  0.3110  0.37
Smith 1975   47  0.5320  0.0136  0.0630  0.2477  0.0338  0.08
Sokolov 2002   59  0.4733  0.0076  0.0377  0.0378  0.0367  0.03
Sztompka 1959   56  0.4991  0.0063  0.0462  0.0457  0.0558  0.04
Tomsic 1995   3  0.735  0.044  0.123  0.6426  0.298  0.43
Uninsky 1932   79  0.3447  0.0082  0.0375  0.0376  0.0374  0.03
Uninsky 1971   70  0.4336  0.0081  0.0281  0.0283  0.0283  0.02
Wasowski 1980   49  0.5276  0.0031  0.0737  0.1785  0.0342  0.07
Zak 1937   10  0.6719  0.0112  0.0817  0.4422  0.319  0.37
Zak 1951   22  0.6211  0.0213  0.1225  0.3929  0.2716  0.32
Average   5  0.7217  0.0114  0.089  0.5164  0.0427  0.14
Random 1   91  -0.1078  0.0089  0.0289  0.0250  0.0578  0.03
Random 2   90  -0.0443  0.0077  0.0283  0.0211  0.3836  0.09
Random 3   86  0.0090  0.0088  0.0288  0.0285  0.0287  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).