Francois 1956

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   32  0.3078  0.0042  0.0732  0.2066  0.0440  0.09
Anderszewski 2003   72  0.2256  0.0052  0.0454  0.0481  0.0380  0.03
Ashkenazy 1981   49  0.2745  0.0068  0.0468  0.0485  0.0386  0.03
Bacha 2000   63  0.2441  0.0035  0.0538  0.1744  0.1426  0.15
Badura 1965   86  0.1739  0.0083  0.0286  0.0279  0.0390  0.02
Barbosa 1983   52  0.2638  0.0049  0.0456  0.0475  0.0463  0.04
Biret 1990   10  0.413  0.124  0.303  0.7813  0.623  0.70
Blet 2003   27  0.3135  0.0032  0.0736  0.1964  0.0439  0.09
Block 1995   79  0.2081  0.0077  0.0283  0.0273  0.0485  0.03
Blumental 1952   84  0.1840  0.0072  0.0378  0.0369  0.0569  0.04
Boshniakovich 1969   38  0.2821  0.0044  0.0841  0.1577  0.0445  0.08
Brailowsky 1960   73  0.2288  0.0081  0.0373  0.0366  0.0556  0.04
Bunin 1987   59  0.2542  0.0059  0.0547  0.0584  0.0370  0.04
Bunin 1987b   66  0.2472  0.0064  0.0471  0.0485  0.0376  0.03
Chiu 1999   62  0.2464  0.0080  0.0377  0.0387  0.0287  0.02
Cohen 1997   6  0.436  0.048  0.227  0.763  0.732  0.74
Cortot 1951   29  0.3044  0.0031  0.0630  0.2525  0.3615  0.30
Csalog 1996   83  0.1889  0.0088  0.0375  0.0384  0.0379  0.03
Czerny 1949   2  0.462  0.202  0.294  0.7812  0.731  0.75
Czerny 1990   60  0.2579  0.0066  0.0467  0.0472  0.0472  0.04
Duchoud 2007   46  0.2727  0.0065  0.0455  0.0477  0.0466  0.04
Ezaki 2006   18  0.3520  0.0020  0.1719  0.5445  0.1714  0.30
Falvay 1989   40  0.2831  0.0033  0.0631  0.2376  0.0435  0.10
Farrell 1958   22  0.3310  0.0116  0.1618  0.5822  0.3812  0.47
Ferenczy 1958   76  0.2165  0.0076  0.0379  0.0354  0.0665  0.04
Fliere 1977   30  0.3053  0.0053  0.0646  0.0676  0.0451  0.05
Fou 1978   34  0.2937  0.0038  0.0543  0.1376  0.0349  0.06
Francois 1956   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1923   68  0.2375  0.0056  0.0464  0.0444  0.1148  0.07
Friedman 1923b   75  0.2255  0.0057  0.0549  0.0573  0.0471  0.04
Friedman 1930   57  0.2558  0.0058  0.0548  0.0551  0.0654  0.05
Garcia 2007   81  0.1973  0.0079  0.0376  0.0357  0.0567  0.04
Garcia 2007b   58  0.2517  0.0054  0.0469  0.0458  0.0573  0.04
Gierzod 1998   69  0.2382  0.0069  0.0460  0.0483  0.0384  0.03
Gornostaeva 1994   3  0.459  0.017  0.225  0.7615  0.555  0.65
Groot 1988   23  0.3325  0.0023  0.1024  0.4286  0.0333  0.11
Harasiewicz 1955   8  0.4149  0.0012  0.1611  0.6862  0.0524  0.18
Hatto 1993   47  0.2754  0.0045  0.0545  0.1063  0.0547  0.07
Hatto 1997   20  0.3418  0.0015  0.1416  0.5973  0.0428  0.15
Horowitz 1949   82  0.1961  0.0082  0.0380  0.0369  0.0477  0.03
Indjic 1988   54  0.2683  0.0048  0.0458  0.0472  0.0462  0.04
Kapell 1951   48  0.2768  0.0061  0.0465  0.0457  0.0653  0.05
Kissin 1993   87  0.1662  0.0086  0.0284  0.0283  0.0389  0.02
Kushner 1989   41  0.2866  0.0055  0.0463  0.0486  0.0375  0.03
Luisada 1991   45  0.2736  0.0063  0.0462  0.0473  0.0455  0.04
Lushtak 2004   33  0.3026  0.0029  0.0727  0.3162  0.0532  0.12
Malcuzynski 1961   44  0.2780  0.0050  0.0552  0.0582  0.0359  0.04
Magaloff 1978   24  0.3359  0.0027  0.0726  0.3269  0.0334  0.10
Magin 1975   26  0.3115  0.0126  0.0828  0.2774  0.0436  0.10
Michalowski 1933   53  0.268  0.0246  0.0550  0.0544  0.1538  0.09
Milkina 1970   4  0.444  0.043  0.292  0.7920  0.574  0.67
Mohovich 1999   21  0.3452  0.0021  0.2020  0.5269  0.0429  0.14
Moravec 1969   50  0.2748  0.0034  0.0534  0.2077  0.0342  0.08
Morozova 2008   61  0.2567  0.0071  0.0374  0.0386  0.0381  0.03
Neighaus 1950   5  0.435  0.045  0.208  0.729  0.537  0.62
Niedzielski 1931   85  0.1769  0.0084  0.0285  0.0270  0.0474  0.03
Ohlsson 1999   17  0.3711  0.0122  0.1121  0.4658  0.0527  0.15
Osinska 1989   7  0.4212  0.0113  0.1810  0.7037  0.2313  0.40
Pachmann 1927   80  0.2051  0.0087  0.0287  0.0282  0.0388  0.02
Paderewski 1930   51  0.2624  0.0028  0.0829  0.2737  0.3216  0.29
Perlemuter 1992   15  0.3813  0.0117  0.1515  0.6216  0.4711  0.54
Pierdomenico 2008   36  0.2932  0.0036  0.0533  0.2032  0.2420  0.22
Poblocka 1999   64  0.2485  0.0070  0.0459  0.0477  0.0457  0.04
Rabcewiczowa 1932   16  0.377  0.029  0.2513  0.6721  0.519  0.58
Rachmaninoff 1923   43  0.2874  0.0043  0.0740  0.1671  0.0443  0.08
Rangell 2001   35  0.2960  0.0024  0.0923  0.4344  0.1718  0.27
Richter 1976   77  0.2150  0.0085  0.0288  0.0281  0.0478  0.03
Rosen 1989   19  0.3519  0.0019  0.1422  0.4362  0.0430  0.13
Rosenthal 1930   42  0.2870  0.0060  0.0461  0.0457  0.0568  0.04
Rosenthal 1931   88  0.1657  0.0074  0.0470  0.0456  0.0564  0.04
Rosenthal 1931b   78  0.2071  0.0039  0.0539  0.1633  0.3219  0.23
Rosenthal 1931c   55  0.2684  0.0037  0.0635  0.1939  0.1825  0.18
Rosenthal 1931d   67  0.2330  0.0040  0.0642  0.1525  0.3121  0.22
Rossi 2007   65  0.2433  0.0075  0.0372  0.0346  0.0752  0.05
Rubinstein 1939   25  0.3229  0.0025  0.0925  0.3860  0.0431  0.12
Rubinstein 1952   9  0.4114  0.016  0.226  0.7627  0.478  0.60
Rubinstein 1966   14  0.3934  0.0010  0.2112  0.6842  0.1217  0.29
Schilhawsky 1960   31  0.3023  0.0030  0.0744  0.1268  0.0446  0.07
Shebanova 2002   70  0.2363  0.0078  0.0382  0.0380  0.0483  0.03
Smith 1975   12  0.3928  0.0014  0.2214  0.6621  0.4810  0.56
Sokolov 2002   11  0.4016  0.0011  0.199  0.709  0.566  0.63
Sztompka 1959   39  0.2886  0.0062  0.0466  0.0482  0.0461  0.04
Tomsic 1995   37  0.2843  0.0041  0.0637  0.1855  0.0637  0.10
Uninsky 1932   74  0.2276  0.0073  0.0381  0.0380  0.0382  0.03
Uninsky 1971   13  0.3922  0.0018  0.2017  0.5950  0.0622  0.19
Wasowski 1980   28  0.3090  0.0051  0.0551  0.0548  0.0650  0.05
Zak 1937   71  0.2391  0.0067  0.0457  0.0475  0.0458  0.04
Zak 1951   56  0.2677  0.0047  0.0453  0.0476  0.0460  0.04
Average   1  0.491  0.401  0.401  0.8370  0.0423  0.18
Random 1   91  -0.0587  0.0091  0.0191  0.0178  0.0291  0.01
Random 2   89  0.0446  0.0089  0.0289  0.0219  0.3644  0.08
Random 3   90  -0.0147  0.0090  0.0290  0.0212  0.4241  0.09

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).