Falvay 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   28  0.6230  0.0029  0.0641  0.1572  0.0345  0.07
Anderszewski 2003   66  0.4662  0.0059  0.0846  0.0852  0.0446  0.06
Ashkenazy 1981   57  0.5018  0.0158  0.0656  0.0676  0.0368  0.04
Bacha 2000   31  0.6116  0.0137  0.0727  0.3724  0.3123  0.34
Badura 1965   74  0.3934  0.0076  0.0475  0.0482  0.0279  0.03
Barbosa 1983   39  0.5533  0.0041  0.0936  0.2733  0.2029  0.23
Biret 1990   29  0.6243  0.0039  0.0823  0.3858  0.0537  0.14
Blet 2003   41  0.5564  0.0063  0.0747  0.0775  0.0354  0.05
Block 1995   43  0.5441  0.0053  0.0561  0.0550  0.0467  0.04
Blumental 1952   61  0.4911  0.0244  0.0644  0.1265  0.0347  0.06
Boshniakovich 1969   60  0.5087  0.0072  0.0476  0.0481  0.0380  0.03
Brailowsky 1960   8  0.7120  0.017  0.119  0.554  0.576  0.56
Bunin 1987   75  0.3965  0.0077  0.0381  0.0376  0.0381  0.03
Bunin 1987b   76  0.3867  0.0078  0.0382  0.0380  0.0370  0.03
Chiu 1999   26  0.6340  0.0021  0.0716  0.4322  0.3119  0.37
Cohen 1997   56  0.5142  0.0031  0.0438  0.246  0.4924  0.34
Cortot 1951   70  0.4281  0.0080  0.0383  0.0385  0.0287  0.02
Csalog 1996   32  0.6019  0.0117  0.0615  0.456  0.539  0.49
Czerny 1949   68  0.4558  0.0068  0.0471  0.0471  0.0465  0.04
Czerny 1990   14  0.6726  0.0019  0.0612  0.4847  0.0534  0.15
Duchoud 2007   71  0.4273  0.0066  0.0474  0.0481  0.0377  0.03
Ezaki 2006   17  0.668  0.0326  0.0722  0.3854  0.0439  0.12
Falvay 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Farrell 1958   21  0.6432  0.0023  0.0820  0.4016  0.3122  0.35
Ferenczy 1958   54  0.5129  0.0065  0.0470  0.0444  0.0755  0.05
Fliere 1977   33  0.5989  0.0045  0.0657  0.0670  0.0358  0.04
Fou 1978   5  0.7321  0.0110  0.154  0.6418  0.388  0.49
Francois 1956   9  0.703  0.075  0.112  0.675  0.573  0.62
Friedman 1923   86  0.0774  0.0088  0.0287  0.0288  0.0190  0.01
Friedman 1923b   87  0.0790  0.0087  0.0386  0.0388  0.0186  0.02
Friedman 1930   84  0.2482  0.0085  0.0566  0.0583  0.0364  0.04
Garcia 2007   77  0.3775  0.0074  0.0479  0.0485  0.0378  0.03
Garcia 2007b   83  0.2676  0.0079  0.0480  0.0485  0.0283  0.03
Gierzod 1998   38  0.5644  0.0055  0.0658  0.0684  0.0366  0.04
Gornostaeva 1994   27  0.6312  0.0238  0.0635  0.2840  0.1432  0.20
Groot 1988   3  0.7427  0.006  0.136  0.617  0.545  0.57
Harasiewicz 1955   46  0.5383  0.0047  0.0565  0.0579  0.0369  0.04
Hatto 1993   82  0.2859  0.0071  0.0469  0.0488  0.0282  0.03
Hatto 1997   80  0.3369  0.0067  0.0468  0.0482  0.0376  0.03
Horowitz 1949   67  0.4670  0.0073  0.0651  0.0684  0.0271  0.03
Indjic 1988   81  0.3186  0.0070  0.0473  0.0487  0.0274  0.03
Kapell 1951   48  0.5225  0.0049  0.0563  0.0546  0.0551  0.05
Kissin 1993   10  0.695  0.0312  0.1519  0.4040  0.1428  0.24
Kushner 1989   11  0.6828  0.0024  0.0618  0.4242  0.1230  0.22
Luisada 1991   35  0.5839  0.0040  0.0837  0.2664  0.0441  0.10
Lushtak 2004   18  0.6610  0.024  0.1311  0.5220  0.2917  0.39
Malcuzynski 1961   44  0.5456  0.0054  0.0652  0.0672  0.0452  0.05
Magaloff 1978   6  0.724  0.053  0.165  0.621  0.574  0.59
Magin 1975   64  0.4850  0.0060  0.0945  0.0985  0.0260  0.04
Michalowski 1933   85  0.2252  0.0084  0.0478  0.0481  0.0373  0.03
Milkina 1970   7  0.7222  0.019  0.158  0.5925  0.3213  0.43
Mohovich 1999   2  0.7423  0.018  0.127  0.6022  0.3911  0.48
Moravec 1969   13  0.6714  0.0114  0.0914  0.478  0.4910  0.48
Morozova 2008   45  0.5371  0.0050  0.0560  0.0570  0.0363  0.04
Neighaus 1950   40  0.5546  0.0056  0.0654  0.0655  0.0556  0.05
Niedzielski 1931   69  0.4388  0.0062  0.0655  0.0668  0.0359  0.04
Ohlsson 1999   59  0.5035  0.0057  0.0749  0.0766  0.0453  0.05
Osinska 1989   16  0.6784  0.0022  0.0732  0.3251  0.0538  0.13
Pachmann 1927   30  0.6154  0.0043  0.0643  0.128  0.4231  0.22
Paderewski 1930   36  0.5677  0.0048  0.0559  0.0577  0.0361  0.04
Perlemuter 1992   12  0.676  0.0315  0.0824  0.3832  0.1626  0.25
Pierdomenico 2008   25  0.6315  0.0111  0.1613  0.482  0.547  0.51
Poblocka 1999   55  0.5138  0.0064  0.0748  0.0767  0.0449  0.05
Rabcewiczowa 1932   34  0.5913  0.0132  0.0521  0.4030  0.2425  0.31
Rachmaninoff 1923   50  0.5279  0.0042  0.0740  0.1575  0.0344  0.07
Rangell 2001   52  0.5268  0.0018  0.0639  0.1838  0.1733  0.17
Richter 1976   72  0.4185  0.0081  0.0477  0.0485  0.0272  0.03
Rosen 1989   24  0.6353  0.0027  0.0733  0.2870  0.0440  0.11
Rosenthal 1930   62  0.4947  0.0046  0.0564  0.0540  0.1243  0.08
Rosenthal 1931   47  0.5349  0.0036  0.1030  0.3510  0.5214  0.43
Rosenthal 1931b   49  0.5257  0.0035  0.0631  0.3311  0.5015  0.41
Rosenthal 1931c   42  0.5531  0.0034  0.0528  0.3613  0.4716  0.41
Rosenthal 1931d   37  0.5645  0.0030  0.0526  0.377  0.5212  0.44
Rossi 2007   58  0.509  0.0216  0.0634  0.286  0.4918  0.37
Rubinstein 1939   65  0.4763  0.0052  0.0750  0.0729  0.2935  0.14
Rubinstein 1952   4  0.732  0.182  0.301  0.703  0.662  0.68
Rubinstein 1966   23  0.6317  0.0128  0.0625  0.3825  0.3720  0.37
Schilhawsky 1960   73  0.4066  0.0075  0.0472  0.0486  0.0375  0.03
Shebanova 2002   22  0.6372  0.0033  0.0542  0.1563  0.0442  0.08
Smith 1975   15  0.677  0.0313  0.1510  0.5330  0.2321  0.35
Sokolov 2002   51  0.5261  0.0051  0.0653  0.0648  0.0550  0.05
Sztompka 1959   63  0.4837  0.0069  0.0467  0.0476  0.0462  0.04
Tomsic 1995   1  0.781  0.321  0.323  0.672  0.731  0.70
Uninsky 1932   78  0.3560  0.0082  0.0384  0.0386  0.0285  0.02
Uninsky 1971   79  0.3448  0.0083  0.0385  0.0387  0.0284  0.02
Wasowski 1980   53  0.5255  0.0061  0.0562  0.0575  0.0457  0.04
Zak 1937   19  0.6524  0.0025  0.0829  0.3551  0.0636  0.14
Zak 1951   20  0.6536  0.0020  0.0617  0.4341  0.1327  0.24
Random 1   89  -0.2078  0.0090  0.0190  0.0186  0.0289  0.01
Random 2   90  -0.2080  0.0089  0.0189  0.0181  0.0288  0.01
Random 3   88  -0.0351  0.0086  0.0288  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).