Falvay 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   29  0.6232  0.0030  0.0642  0.1573  0.0346  0.07
Anderszewski 2003   67  0.4662  0.0060  0.0747  0.0753  0.0453  0.05
Ashkenazy 1981   58  0.5019  0.0159  0.0657  0.0677  0.0369  0.04
Bacha 2000   32  0.6117  0.0138  0.0728  0.3725  0.3123  0.34
Badura 1965   75  0.3935  0.0077  0.0476  0.0483  0.0280  0.03
Barbosa 1983   40  0.5533  0.0042  0.0937  0.2734  0.2030  0.23
Biret 1990   30  0.6243  0.0040  0.0824  0.3859  0.0537  0.14
Blet 2003   42  0.5565  0.0064  0.0748  0.0776  0.0354  0.05
Block 1995   44  0.5441  0.0054  0.0562  0.0551  0.0468  0.04
Blumental 1952   62  0.4910  0.0245  0.0645  0.1266  0.0347  0.06
Boshniakovich 1969   61  0.5086  0.0073  0.0477  0.0482  0.0381  0.03
Brailowsky 1960   9  0.7122  0.018  0.1110  0.555  0.576  0.56
Bunin 1987   76  0.3966  0.0078  0.0382  0.0377  0.0382  0.03
Bunin 1987b   77  0.3867  0.0079  0.0383  0.0381  0.0371  0.03
Chiu 1999   27  0.6340  0.0022  0.0617  0.4323  0.3119  0.37
Cohen 1997   57  0.5142  0.0032  0.0439  0.246  0.4924  0.34
Cortot 1951   71  0.4281  0.0081  0.0384  0.0386  0.0288  0.02
Csalog 1996   33  0.6018  0.0118  0.0616  0.456  0.539  0.49
Czerny 1949   69  0.4559  0.0069  0.0472  0.0472  0.0466  0.04
Czerny 1990   15  0.6727  0.0020  0.0613  0.4848  0.0535  0.15
Duchoud 2007   72  0.4274  0.0067  0.0475  0.0482  0.0378  0.03
Ezaki 2006   18  0.6616  0.0127  0.0723  0.3855  0.0440  0.12
Falvay 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Farrell 1958   22  0.6446  0.0024  0.0721  0.4017  0.3122  0.35
Ferenczy 1958   55  0.5130  0.0066  0.0471  0.0444  0.0755  0.05
Fliere 1977   34  0.5988  0.0046  0.0658  0.0671  0.0358  0.04
Fou 1978   5  0.7325  0.0011  0.154  0.6419  0.388  0.49
Francois 1956   10  0.705  0.046  0.112  0.676  0.573  0.62
Friedman 1923   87  0.0775  0.0089  0.0288  0.0289  0.0191  0.01
Friedman 1923b   88  0.0791  0.0088  0.0387  0.0389  0.0187  0.02
Friedman 1930   85  0.2482  0.0086  0.0567  0.0584  0.0365  0.04
Garcia 2007   78  0.3776  0.0075  0.0480  0.0486  0.0379  0.03
Garcia 2007b   84  0.2677  0.0080  0.0481  0.0486  0.0284  0.03
Gierzod 1998   39  0.5644  0.0056  0.0659  0.0685  0.0367  0.04
Gornostaeva 1994   28  0.6311  0.0239  0.0636  0.2841  0.1433  0.20
Groot 1988   3  0.7426  0.007  0.126  0.618  0.545  0.57
Harasiewicz 1955   47  0.5383  0.0048  0.0566  0.0580  0.0370  0.04
Hatto 1993   83  0.2860  0.0072  0.0470  0.0489  0.0283  0.03
Hatto 1997   81  0.3370  0.0068  0.0469  0.0483  0.0377  0.03
Horowitz 1949   68  0.4671  0.0074  0.0652  0.0685  0.0272  0.03
Indjic 1988   82  0.3185  0.0071  0.0474  0.0488  0.0275  0.03
Kapell 1951   49  0.5224  0.0050  0.0564  0.0547  0.0551  0.05
Kissin 1993   11  0.696  0.0313  0.1520  0.4041  0.1429  0.24
Kushner 1989   12  0.6829  0.0025  0.0619  0.4243  0.1231  0.22
Luisada 1991   36  0.5839  0.0041  0.0838  0.2665  0.0441  0.10
Lushtak 2004   19  0.669  0.024  0.1212  0.5221  0.2917  0.39
Malcuzynski 1961   45  0.5457  0.0055  0.0653  0.0673  0.0361  0.04
Magaloff 1978   7  0.724  0.053  0.165  0.622  0.574  0.59
Magin 1975   65  0.4851  0.0061  0.0946  0.0986  0.0260  0.04
Michalowski 1933   86  0.2253  0.0085  0.0479  0.0482  0.0374  0.03
Milkina 1970   8  0.7220  0.0110  0.158  0.5926  0.3213  0.43
Mohovich 1999   2  0.7421  0.019  0.127  0.6023  0.3911  0.48
Moravec 1969   14  0.6713  0.0115  0.0915  0.479  0.4910  0.48
Morozova 2008   46  0.5372  0.0051  0.0561  0.0571  0.0364  0.04
Neighaus 1950   41  0.5547  0.0057  0.0655  0.0656  0.0556  0.05
Niedzielski 1931   70  0.4387  0.0063  0.0656  0.0669  0.0359  0.04
Ohlsson 1999   60  0.5037  0.0058  0.0750  0.0767  0.0452  0.05
Osinska 1989   17  0.6789  0.0023  0.0733  0.3252  0.0538  0.13
Pachmann 1927   31  0.6155  0.0044  0.0644  0.129  0.4232  0.22
Paderewski 1930   37  0.5678  0.0049  0.0560  0.0578  0.0362  0.04
Perlemuter 1992   13  0.677  0.0316  0.0825  0.3833  0.1626  0.25
Pierdomenico 2008   26  0.6315  0.0112  0.1614  0.482  0.547  0.51
Poblocka 1999   56  0.5136  0.0065  0.0749  0.0768  0.0449  0.05
Rabcewiczowa 1932   35  0.5914  0.0133  0.0522  0.4031  0.2425  0.31
Rachmaninoff 1923   51  0.5280  0.0043  0.0741  0.1576  0.0345  0.07
Rangell 2001   53  0.5268  0.0019  0.0640  0.1839  0.1734  0.17
Richter 1976   73  0.4184  0.0082  0.0478  0.0486  0.0273  0.03
Rosen 1989   25  0.6354  0.0028  0.0734  0.2871  0.0342  0.09
Rosenthal 1930   63  0.4948  0.0047  0.0565  0.0541  0.1244  0.08
Rosenthal 1931   48  0.5350  0.0037  0.1031  0.3511  0.5214  0.43
Rosenthal 1931b   50  0.5258  0.0036  0.0632  0.3312  0.5015  0.41
Rosenthal 1931c   43  0.5531  0.0035  0.0529  0.3614  0.4716  0.41
Rosenthal 1931d   38  0.5645  0.0031  0.0527  0.378  0.5212  0.44
Rossi 2007   59  0.508  0.0217  0.0635  0.286  0.4918  0.37
Rubinstein 1939   66  0.4764  0.0053  0.0651  0.0630  0.2939  0.13
Rubinstein 1952   4  0.732  0.162  0.291  0.703  0.662  0.68
Rubinstein 1966   24  0.6328  0.0029  0.0626  0.3826  0.3720  0.37
Schilhawsky 1960   74  0.4069  0.0076  0.0473  0.0487  0.0376  0.03
Shebanova 2002   23  0.6373  0.0034  0.0543  0.1564  0.0443  0.08
Smith 1975   16  0.6712  0.0114  0.1411  0.5331  0.2321  0.35
Sokolov 2002   52  0.5263  0.0052  0.0654  0.0649  0.0550  0.05
Sztompka 1959   64  0.4838  0.0070  0.0468  0.0477  0.0463  0.04
Tomsic 1995   1  0.781  0.321  0.323  0.672  0.731  0.70
Uninsky 1932   79  0.3561  0.0083  0.0385  0.0387  0.0286  0.02
Uninsky 1971   80  0.3449  0.0084  0.0386  0.0388  0.0285  0.02
Wasowski 1980   54  0.5256  0.0062  0.0563  0.0576  0.0457  0.04
Zak 1937   20  0.6523  0.0026  0.0730  0.3552  0.0636  0.14
Zak 1951   21  0.6534  0.0021  0.0618  0.4342  0.1328  0.24
Average   6  0.733  0.095  0.109  0.5641  0.1127  0.25
Random 1   90  -0.2079  0.0091  0.0191  0.0187  0.0190  0.01
Random 2   91  -0.2090  0.0090  0.0190  0.0182  0.0289  0.01
Random 3   89  -0.0352  0.0087  0.0289  0.0233  0.1948  0.06

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).