Falvay 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   44  0.5040  0.0055  0.0849  0.0881  0.0357  0.05
Anderszewski 2003   24  0.5727  0.0030  0.0829  0.3649  0.0542  0.13
Ashkenazy 1981   63  0.4375  0.0068  0.0566  0.0588  0.0278  0.03
Bacha 2000   49  0.4844  0.0053  0.0657  0.0660  0.0453  0.05
Badura 1965   73  0.3841  0.0072  0.0377  0.0387  0.0288  0.02
Barbosa 1983   31  0.5549  0.0012  0.1425  0.4130  0.3915  0.40
Biret 1990   20  0.5936  0.0026  0.0921  0.4663  0.0439  0.14
Blet 2003   62  0.4484  0.0065  0.0563  0.0585  0.0273  0.03
Block 1995   35  0.548  0.0217  0.0723  0.4615  0.469  0.46
Blumental 1952   17  0.609  0.026  0.117  0.5627  0.2421  0.37
Boshniakovich 1969   60  0.4479  0.0060  0.0662  0.0662  0.0558  0.05
Brailowsky 1960   7  0.6312  0.0119  0.0820  0.477  0.665  0.56
Bunin 1987   79  0.3380  0.0078  0.0386  0.0387  0.0379  0.03
Bunin 1987b   82  0.3162  0.0079  0.0471  0.0485  0.0368  0.03
Chiu 1999   23  0.5776  0.0032  0.0630  0.3223  0.2726  0.29
Cohen 1997   43  0.5025  0.0036  0.0736  0.252  0.5223  0.36
Cortot 1951   85  0.3063  0.0084  0.0375  0.0385  0.0382  0.03
Csalog 1996   5  0.642  0.172  0.372  0.641  0.721  0.68
Czerny 1949   71  0.3970  0.0073  0.0379  0.0371  0.0476  0.03
Czerny 1990   4  0.663  0.085  0.265  0.6033  0.3114  0.43
Duchoud 2007   81  0.3256  0.0077  0.0385  0.0369  0.0477  0.03
Ezaki 2006   8  0.6316  0.0125  0.1212  0.5039  0.1825  0.30
Falvay 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Farrell 1958   27  0.5729  0.0016  0.0715  0.4930  0.3713  0.43
Ferenczy 1958   33  0.5550  0.0042  0.0642  0.1621  0.4027  0.25
Fliere 1977   34  0.5552  0.0044  0.0744  0.1473  0.0448  0.07
Fou 1978   9  0.6333  0.0024  0.0917  0.4843  0.1129  0.23
Francois 1956   56  0.4659  0.0052  0.0946  0.0954  0.0550  0.07
Friedman 1923   78  0.3464  0.0082  0.0378  0.0374  0.0483  0.03
Friedman 1923b   80  0.3310  0.0181  0.0381  0.0374  0.0480  0.03
Friedman 1930   72  0.3981  0.0074  0.0373  0.0382  0.0375  0.03
Garcia 2007   64  0.4371  0.0062  0.0569  0.0571  0.0465  0.04
Garcia 2007b   55  0.4642  0.0057  0.0660  0.0645  0.0652  0.06
Gierzod 1998   25  0.5765  0.0041  0.0741  0.1975  0.0346  0.08
Gornostaeva 1994   26  0.575  0.0513  0.0813  0.5029  0.2918  0.38
Groot 1988   37  0.5447  0.0022  0.0918  0.4722  0.3119  0.38
Harasiewicz 1955   36  0.5448  0.0043  0.0843  0.1672  0.0447  0.08
Hatto 1993   69  0.4154  0.0070  0.0658  0.0681  0.0367  0.04
Hatto 1997   66  0.4282  0.0071  0.0661  0.0682  0.0364  0.04
Horowitz 1949   83  0.3085  0.0086  0.0380  0.0380  0.0370  0.03
Indjic 1988   65  0.4234  0.0069  0.0472  0.0474  0.0372  0.03
Kapell 1951   38  0.5439  0.0039  0.1135  0.2750  0.0641  0.13
Kissin 1993   28  0.5614  0.0131  0.0837  0.2468  0.0445  0.10
Kushner 1989   1  0.676  0.053  0.181  0.6922  0.523  0.60
Luisada 1991   29  0.5660  0.0037  0.0834  0.2963  0.0543  0.12
Lushtak 2004   13  0.6221  0.018  0.106  0.5622  0.427  0.48
Malcuzynski 1961   67  0.4146  0.0059  0.0570  0.0587  0.0269  0.03
Magaloff 1978   18  0.5932  0.0018  0.0719  0.4713  0.4212  0.44
Magin 1975   45  0.5037  0.0046  0.0947  0.0973  0.0356  0.05
Michalowski 1933   87  0.2786  0.0085  0.0287  0.0287  0.0385  0.02
Milkina 1970   14  0.6131  0.0014  0.0810  0.5256  0.0632  0.18
Mohovich 1999   6  0.6323  0.019  0.098  0.5526  0.428  0.48
Moravec 1969   11  0.6218  0.0115  0.0911  0.5112  0.576  0.54
Morozova 2008   59  0.4666  0.0058  0.0659  0.0682  0.0363  0.04
Neighaus 1950   70  0.3972  0.0075  0.0376  0.0384  0.0381  0.03
Niedzielski 1931   75  0.3653  0.0067  0.0751  0.0762  0.0455  0.05
Ohlsson 1999   58  0.4630  0.0056  0.0568  0.0578  0.0462  0.04
Osinska 1989   2  0.674  0.064  0.184  0.6031  0.3310  0.44
Pachmann 1927   57  0.4677  0.0063  0.0564  0.0522  0.3838  0.14
Paderewski 1930   74  0.3678  0.0064  0.0567  0.0556  0.0460  0.04
Perlemuter 1992   30  0.5683  0.0040  0.0839  0.2145  0.0840  0.13
Pierdomenico 2008   41  0.5126  0.0020  0.0631  0.3116  0.4420  0.37
Poblocka 1999   42  0.5111  0.0145  0.0848  0.0851  0.0551  0.06
Rabcewiczowa 1932   32  0.5519  0.017  0.1324  0.4519  0.3216  0.38
Rachmaninoff 1923   53  0.4761  0.0050  0.0752  0.0783  0.0354  0.05
Rangell 2001   48  0.4820  0.0127  0.0938  0.2237  0.2728  0.24
Richter 1976   86  0.2938  0.0087  0.0374  0.0383  0.0284  0.02
Rosen 1989   16  0.6057  0.0023  0.0916  0.4852  0.0636  0.17
Rosenthal 1930   68  0.4187  0.0066  0.0655  0.0664  0.0366  0.04
Rosenthal 1931   50  0.4867  0.0047  0.0653  0.0618  0.4735  0.17
Rosenthal 1931b   52  0.4788  0.0049  0.0750  0.0718  0.4733  0.18
Rosenthal 1931c   47  0.4968  0.0035  0.0732  0.3019  0.4622  0.37
Rosenthal 1931d   51  0.4745  0.0048  0.0656  0.0618  0.5037  0.17
Rossi 2007   39  0.5328  0.0028  0.0826  0.409  0.4811  0.44
Rubinstein 1939   40  0.5251  0.0038  0.1040  0.2141  0.1434  0.17
Rubinstein 1952   3  0.661  0.321  0.323  0.628  0.602  0.61
Rubinstein 1966   10  0.6222  0.0111  0.1114  0.4932  0.3017  0.38
Schilhawsky 1960   84  0.3055  0.0083  0.0383  0.0386  0.0374  0.03
Shebanova 2002   22  0.5715  0.0129  0.0933  0.3074  0.0444  0.11
Smith 1975   15  0.6043  0.0021  0.0722  0.4631  0.2524  0.34
Sokolov 2002   61  0.4417  0.0151  0.0945  0.0952  0.0549  0.07
Sztompka 1959   54  0.4769  0.0061  0.0565  0.0587  0.0361  0.04
Tomsic 1995   12  0.6235  0.0010  0.139  0.532  0.684  0.60
Uninsky 1932   76  0.3573  0.0080  0.0382  0.0387  0.0286  0.02
Uninsky 1971   77  0.3558  0.0076  0.0384  0.0381  0.0471  0.03
Wasowski 1980   46  0.5024  0.0154  0.0654  0.0685  0.0359  0.04
Zak 1937   19  0.5913  0.0134  0.1127  0.3841  0.1330  0.22
Zak 1951   21  0.587  0.0233  0.0728  0.3743  0.1131  0.20
Random 1   90  -0.1589  0.0090  0.0190  0.0168  0.0389  0.02
Random 2   88  -0.0990  0.0088  0.0189  0.0176  0.0387  0.02
Random 3   89  -0.1274  0.0089  0.0188  0.0149  0.0490  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).