Francois 1956

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   11  0.5550  0.0023  0.1022  0.4759  0.0527  0.15
Anderszewski 2003   39  0.4871  0.0054  0.0463  0.0477  0.0383  0.03
Ashkenazy 1981   50  0.4745  0.0042  0.0740  0.1865  0.0447  0.08
Bacha 2000   40  0.4861  0.0040  0.0838  0.2129  0.2314  0.22
Badura 1965   69  0.4079  0.0074  0.0472  0.0466  0.0575  0.04
Barbosa 1983   74  0.3975  0.0066  0.0377  0.0354  0.0571  0.04
Biret 1990   17  0.547  0.038  0.169  0.5940  0.1810  0.33
Blet 2003   38  0.4854  0.0051  0.0467  0.0449  0.0656  0.05
Block 1995   85  0.3470  0.0078  0.0385  0.0380  0.0387  0.03
Blumental 1952   35  0.4955  0.0024  0.0928  0.4257  0.0530  0.14
Boshniakovich 1969   21  0.5316  0.0129  0.0735  0.2969  0.0440  0.11
Brailowsky 1960   71  0.4080  0.0085  0.0387  0.0356  0.0565  0.04
Bunin 1987   78  0.3768  0.0080  0.0381  0.0368  0.0488  0.03
Bunin 1987b   84  0.3587  0.0082  0.0382  0.0351  0.0568  0.04
Chiu 1999   68  0.4237  0.0070  0.0468  0.0464  0.0466  0.04
Cohen 1997   75  0.3942  0.0068  0.0475  0.0428  0.2442  0.10
Cortot 1951   79  0.3685  0.0079  0.0378  0.0362  0.0577  0.04
Csalog 1996   81  0.3632  0.0071  0.0460  0.0471  0.0472  0.04
Czerny 1949   13  0.5539  0.0026  0.0827  0.4356  0.0622  0.16
Czerny 1990   3  0.608  0.034  0.147  0.6052  0.0617  0.19
Duchoud 2007   82  0.3551  0.0077  0.0386  0.0379  0.0385  0.03
Ezaki 2006   55  0.4548  0.0063  0.0646  0.0686  0.0361  0.04
Falvay 1989   51  0.4686  0.0062  0.0555  0.0547  0.0948  0.07
Farrell 1958   19  0.5414  0.013  0.136  0.6125  0.424  0.51
Ferenczy 1958   77  0.3763  0.0076  0.0379  0.0378  0.0384  0.03
Fliere 1977   16  0.5435  0.0025  0.0824  0.4478  0.0431  0.13
Fou 1978   12  0.5546  0.0019  0.1319  0.4949  0.0619  0.17
Francois 1956   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1923   56  0.4541  0.0055  0.0464  0.0463  0.0578  0.04
Friedman 1923b   61  0.4447  0.0056  0.0461  0.0462  0.0576  0.04
Friedman 1930   52  0.4633  0.0059  0.0551  0.0564  0.0557  0.05
Garcia 2007   53  0.4672  0.0053  0.0552  0.0555  0.0559  0.05
Garcia 2007b   28  0.5130  0.0022  0.0920  0.4741  0.1113  0.23
Gierzod 1998   7  0.5810  0.029  0.158  0.6064  0.0428  0.15
Gornostaeva 1994   18  0.5427  0.0028  0.0731  0.3549  0.0439  0.12
Groot 1988   27  0.513  0.0613  0.1118  0.4934  0.1811  0.30
Harasiewicz 1955   31  0.5019  0.0141  0.0842  0.1467  0.0452  0.07
Hatto 1993   62  0.4465  0.0045  0.0645  0.1272  0.0451  0.07
Hatto 1997   58  0.4584  0.0049  0.0553  0.0561  0.0558  0.05
Horowitz 1949   87  0.3281  0.0087  0.0383  0.0376  0.0481  0.03
Indjic 1988   57  0.4588  0.0043  0.0643  0.1347  0.0741  0.10
Kapell 1951   41  0.4876  0.0048  0.0647  0.0678  0.0455  0.05
Kissin 1993   29  0.5125  0.0031  0.0834  0.3059  0.0538  0.12
Kushner 1989   2  0.602  0.092  0.2910  0.5932  0.326  0.43
Luisada 1991   46  0.4756  0.0057  0.0556  0.0566  0.0463  0.04
Lushtak 2004   20  0.5428  0.0020  0.0917  0.5057  0.0523  0.16
Malcuzynski 1961   60  0.4443  0.0064  0.0462  0.0485  0.0380  0.03
Magaloff 1978   22  0.5323  0.0027  0.0826  0.4431  0.268  0.34
Magin 1975   26  0.516  0.0316  0.1123  0.4549  0.0524  0.15
Michalowski 1933   44  0.4713  0.0144  0.0644  0.1240  0.2025  0.15
Milkina 1970   6  0.5838  0.0014  0.1314  0.5348  0.0716  0.19
Mohovich 1999   34  0.5073  0.0038  0.0839  0.2068  0.0445  0.09
Moravec 1969   70  0.4064  0.0072  0.0465  0.0466  0.0462  0.04
Morozova 2008   63  0.4422  0.0036  0.0737  0.2172  0.0444  0.09
Neighaus 1950   4  0.604  0.056  0.133  0.6424  0.355  0.47
Niedzielski 1931   42  0.4818  0.0139  0.0841  0.1750  0.0543  0.09
Ohlsson 1999   23  0.5231  0.0033  0.1125  0.4446  0.0620  0.16
Osinska 1989   9  0.5826  0.0017  0.1015  0.5246  0.0915  0.22
Pachmann 1927   65  0.4359  0.0081  0.0376  0.0344  0.1549  0.07
Paderewski 1930   15  0.549  0.0212  0.1212  0.562  0.691  0.62
Perlemuter 1992   10  0.575  0.0510  0.154  0.6313  0.513  0.57
Pierdomenico 2008   30  0.5112  0.0115  0.1011  0.586  0.582  0.58
Poblocka 1999   66  0.4282  0.0067  0.0471  0.0486  0.0379  0.03
Rabcewiczowa 1932   24  0.5215  0.0111  0.1413  0.5435  0.209  0.33
Rachmaninoff 1923   37  0.4934  0.0034  0.0832  0.3478  0.0436  0.12
Rangell 2001   59  0.4444  0.0047  0.0649  0.0635  0.2734  0.13
Richter 1976   88  0.3174  0.0088  0.0470  0.0468  0.0469  0.04
Rosen 1989   14  0.5540  0.0018  0.0921  0.4762  0.0529  0.15
Rosenthal 1930   73  0.3936  0.0075  0.0466  0.0472  0.0386  0.03
Rosenthal 1931   86  0.3360  0.0086  0.0380  0.0362  0.0482  0.03
Rosenthal 1931b   76  0.3757  0.0073  0.0473  0.0447  0.0660  0.05
Rosenthal 1931c   83  0.3589  0.0084  0.0388  0.0372  0.0390  0.03
Rosenthal 1931d   80  0.3677  0.0083  0.0384  0.0365  0.0489  0.03
Rossi 2007   48  0.4711  0.0246  0.0648  0.0633  0.2932  0.13
Rubinstein 1939   64  0.4378  0.0061  0.0459  0.0460  0.0467  0.04
Rubinstein 1952   36  0.4929  0.0021  0.0816  0.5034  0.307  0.39
Rubinstein 1966   25  0.5252  0.0032  0.0830  0.4057  0.0626  0.15
Schilhawsky 1960   49  0.4717  0.0160  0.0558  0.0582  0.0373  0.04
Shebanova 2002   8  0.5824  0.007  0.135  0.6279  0.0421  0.16
Smith 1975   47  0.4783  0.0052  0.0554  0.0554  0.0554  0.05
Sokolov 2002   45  0.4721  0.0037  0.0936  0.2750  0.0535  0.12
Sztompka 1959   5  0.6020  0.015  0.122  0.6447  0.0812  0.23
Tomsic 1995   72  0.4090  0.0069  0.0469  0.0446  0.0953  0.06
Uninsky 1932   67  0.4262  0.0065  0.0474  0.0478  0.0474  0.04
Uninsky 1971   54  0.4658  0.0058  0.0550  0.0575  0.0470  0.04
Wasowski 1980   43  0.4767  0.0050  0.0557  0.0572  0.0464  0.04
Zak 1937   33  0.5049  0.0035  0.0833  0.3168  0.0537  0.12
Zak 1951   32  0.5053  0.0030  0.0729  0.4081  0.0433  0.13
Average   1  0.661  0.451  0.441  0.7864  0.0418  0.18
Random 1   91  -0.1091  0.0091  0.0191  0.0167  0.0391  0.02
Random 2   89  -0.0366  0.0090  0.0290  0.0227  0.2450  0.07
Random 3   90  -0.0369  0.0089  0.0289  0.0211  0.3546  0.08

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).