Farrell 1958

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   45  0.317  0.0321  0.0737  0.1643  0.1332  0.14
Anderszewski 2003   55  0.2968  0.0055  0.0561  0.0562  0.0466  0.04
Ashkenazy 1981   64  0.2538  0.0074  0.0280  0.0286  0.0390  0.02
Bacha 2000   70  0.2554  0.0067  0.0467  0.0462  0.0464  0.04
Badura 1965   60  0.2657  0.0062  0.0658  0.0660  0.0461  0.05
Barbosa 1983   15  0.3923  0.0014  0.0822  0.3734  0.2420  0.30
Biret 1990   4  0.4322  0.006  0.193  0.659  0.642  0.64
Blet 2003   67  0.2583  0.0078  0.0469  0.0469  0.0467  0.04
Block 1995   79  0.2180  0.0076  0.0376  0.0386  0.0378  0.03
Blumental 1952   77  0.2381  0.0070  0.0373  0.0383  0.0379  0.03
Boshniakovich 1969   81  0.2187  0.0064  0.0560  0.0577  0.0471  0.04
Brailowsky 1960   46  0.3144  0.0053  0.0749  0.0756  0.0651  0.06
Bunin 1987   39  0.3374  0.0048  0.1144  0.1136  0.2031  0.15
Bunin 1987b   32  0.3426  0.0047  0.0655  0.0635  0.2435  0.12
Chiu 1999   18  0.3827  0.0033  0.0829  0.2671  0.0442  0.10
Cohen 1997   44  0.3160  0.0060  0.0748  0.0746  0.0849  0.07
Cortot 1951   19  0.3835  0.0028  0.0920  0.385  0.668  0.50
Csalog 1996   28  0.3655  0.0031  0.0828  0.2736  0.1528  0.20
Czerny 1949   1  0.501  0.431  0.431  0.774  0.811  0.79
Czerny 1990   8  0.4041  0.0017  0.0812  0.4837  0.2318  0.33
Duchoud 2007   7  0.4210  0.0210  0.158  0.555  0.654  0.60
Ezaki 2006   13  0.3919  0.0123  0.0724  0.3542  0.2421  0.29
Falvay 1989   10  0.409  0.0315  0.0915  0.4735  0.2317  0.33
Farrell 1958   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ferenczy 1958   74  0.2382  0.0080  0.0282  0.0250  0.0770  0.04
Fliere 1977   43  0.3229  0.0030  0.0734  0.2058  0.0541  0.10
Fou 1978   16  0.3853  0.0016  0.0814  0.4841  0.1722  0.29
Francois 1956   41  0.3325  0.0020  0.0821  0.3817  0.5811  0.47
Friedman 1923   57  0.2820  0.0050  0.0747  0.0749  0.0750  0.07
Friedman 1923b   58  0.2845  0.0052  0.0653  0.0653  0.0657  0.06
Friedman 1930   76  0.2367  0.0069  0.0468  0.0475  0.0469  0.04
Garcia 2007   65  0.2548  0.0056  0.0657  0.0666  0.0560  0.05
Garcia 2007b   51  0.3024  0.0036  0.0639  0.1437  0.1533  0.14
Gierzod 1998   78  0.2289  0.0077  0.0372  0.0381  0.0377  0.03
Gornostaeva 1994   31  0.3451  0.0051  0.0650  0.0663  0.0562  0.05
Groot 1988   50  0.3075  0.0054  0.0846  0.0872  0.0458  0.06
Harasiewicz 1955   27  0.3643  0.0037  0.0630  0.2572  0.0539  0.11
Hatto 1993   52  0.2964  0.0061  0.0654  0.0678  0.0463  0.05
Hatto 1997   36  0.3461  0.0038  0.0631  0.2347  0.0637  0.12
Horowitz 1949   84  0.1837  0.0084  0.0286  0.0274  0.0386  0.02
Indjic 1988   63  0.2690  0.0066  0.0562  0.0575  0.0465  0.04
Kapell 1951   11  0.405  0.048  0.155  0.5924  0.3212  0.43
Kissin 1993   49  0.3042  0.0049  0.0651  0.0666  0.0655  0.06
Kushner 1989   29  0.3512  0.0113  0.0818  0.4238  0.1825  0.27
Luisada 1991   72  0.2466  0.0081  0.0285  0.0281  0.0383  0.02
Lushtak 2004   3  0.438  0.037  0.217  0.5713  0.556  0.56
Malcuzynski 1961   35  0.3456  0.0041  0.0635  0.1656  0.0543  0.09
Magaloff 1978   47  0.3176  0.0045  0.0563  0.0587  0.0273  0.03
Magin 1975   75  0.2363  0.0071  0.0371  0.0372  0.0475  0.03
Michalowski 1933   86  0.1572  0.0086  0.0288  0.0272  0.0476  0.03
Milkina 1970   17  0.3816  0.0111  0.1111  0.4932  0.3613  0.42
Mohovich 1999   71  0.2439  0.0065  0.0465  0.0477  0.0472  0.04
Moravec 1969   23  0.3831  0.0032  0.0833  0.2157  0.0540  0.10
Morozova 2008   9  0.4036  0.0029  0.0826  0.3254  0.0534  0.13
Neighaus 1950   26  0.3688  0.0043  0.0643  0.1352  0.0547  0.08
Niedzielski 1931   68  0.2577  0.0079  0.0374  0.0372  0.0474  0.03
Ohlsson 1999   24  0.3771  0.0039  0.0632  0.2142  0.1330  0.17
Osinska 1989   25  0.3713  0.019  0.1510  0.5330  0.3114  0.41
Pachmann 1927   62  0.2650  0.0058  0.0564  0.0550  0.0754  0.06
Paderewski 1930   87  0.1259  0.0087  0.0281  0.0283  0.0387  0.02
Perlemuter 1992   85  0.1678  0.0085  0.0284  0.0282  0.0384  0.02
Pierdomenico 2008   56  0.2986  0.0057  0.0466  0.0436  0.1844  0.08
Poblocka 1999   21  0.3818  0.0122  0.0719  0.4037  0.2816  0.33
Rabcewiczowa 1932   22  0.3847  0.0019  0.0913  0.4823  0.4710  0.47
Rachmaninoff 1923   12  0.403  0.074  0.149  0.5517  0.497  0.52
Rangell 2001   6  0.4221  0.005  0.156  0.576  0.635  0.60
Richter 1976   33  0.3449  0.0044  0.0545  0.0975  0.0453  0.06
Rosen 1989   30  0.3528  0.0040  0.0736  0.1656  0.0446  0.08
Rosenthal 1930   34  0.3415  0.0124  0.0742  0.1436  0.3029  0.20
Rosenthal 1931   66  0.2558  0.0072  0.0378  0.0342  0.1848  0.07
Rosenthal 1931b   82  0.2084  0.0082  0.0279  0.0262  0.0481  0.03
Rosenthal 1931c   69  0.2517  0.0173  0.0375  0.0363  0.0482  0.03
Rosenthal 1931d   83  0.1879  0.0083  0.0287  0.0274  0.0480  0.03
Rossi 2007   80  0.2111  0.0134  0.0638  0.1511  0.4824  0.27
Rubinstein 1939   2  0.444  0.062  0.302  0.675  0.603  0.63
Rubinstein 1952   42  0.326  0.0312  0.1117  0.4338  0.2715  0.34
Rubinstein 1966   5  0.432  0.113  0.174  0.6325  0.369  0.48
Schilhawsky 1960   73  0.2462  0.0068  0.0470  0.0473  0.0468  0.04
Shebanova 2002   54  0.2952  0.0063  0.0659  0.0666  0.0656  0.06
Smith 1975   48  0.3073  0.0059  0.0656  0.0648  0.0752  0.06
Sokolov 2002   59  0.2740  0.0075  0.0283  0.0270  0.0385  0.02
Sztompka 1959   20  0.3870  0.0025  0.0723  0.3742  0.2223  0.29
Tomsic 1995   61  0.2614  0.0135  0.0540  0.1444  0.1036  0.12
Uninsky 1932   53  0.2969  0.0046  0.0652  0.0654  0.0559  0.05
Uninsky 1971   40  0.3332  0.0042  0.0541  0.1464  0.0545  0.08
Wasowski 1980   14  0.3930  0.0018  0.0816  0.4439  0.1327  0.24
Zak 1937   37  0.3346  0.0026  0.0725  0.3330  0.2719  0.30
Zak 1951   38  0.3333  0.0027  0.0927  0.3129  0.2426  0.27
Random 1   90  -0.0785  0.0089  0.0189  0.0149  0.0488  0.02
Random 2   88  0.1034  0.0088  0.0377  0.034  0.5138  0.12
Random 3   89  -0.0765  0.0090  0.0190  0.0149  0.0589  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).