Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   53  0.3166  0.0065  0.0553  0.0559  0.0464  0.04
Anderszewski 2003   35  0.359  0.0318  0.0834  0.2479  0.0341  0.08
Ashkenazy 1981   12  0.4215  0.0130  0.0640  0.1967  0.0437  0.09
Bacha 2000   2  0.4747  0.007  0.105  0.5227  0.364  0.43
Badura 1965   71  0.2571  0.0069  0.0463  0.0485  0.0385  0.03
Barbosa 1983   29  0.3682  0.0035  0.0629  0.2556  0.0524  0.11
Biret 1990   6  0.4532  0.009  0.116  0.5265  0.0513  0.16
Blet 2003   63  0.2944  0.0059  0.0465  0.0477  0.0380  0.03
Block 1995   70  0.2628  0.0057  0.0467  0.0467  0.0467  0.04
Blumental 1952   31  0.3659  0.0043  0.0443  0.1083  0.0348  0.05
Boshniakovich 1969   64  0.2984  0.0056  0.0470  0.0484  0.0386  0.03
Brailowsky 1960   17  0.4129  0.0017  0.1315  0.4352  0.0611  0.16
Bunin 1987   77  0.2286  0.0079  0.0385  0.0373  0.0487  0.03
Bunin 1987b   79  0.2279  0.0080  0.0469  0.0473  0.0374  0.03
Chiu 1999   10  0.4320  0.0029  0.0625  0.2981  0.0332  0.09
Cohen 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cortot 1951   48  0.3225  0.0062  0.0647  0.0665  0.0449  0.05
Csalog 1996   16  0.4111  0.025  0.174  0.5421  0.442  0.49
Czerny 1949   73  0.2460  0.0072  0.0475  0.0467  0.0463  0.04
Czerny 1990   65  0.2973  0.0070  0.0468  0.0461  0.0468  0.04
Duchoud 2007   49  0.3263  0.0064  0.0557  0.0562  0.0465  0.04
Ezaki 2006   22  0.3916  0.0120  0.0733  0.2482  0.0339  0.08
Falvay 1989   3  0.473  0.132  0.193  0.5440  0.157  0.28
Farrell 1958   14  0.4251  0.0026  0.0619  0.3369  0.0421  0.11
Ferenczy 1958   33  0.3522  0.0040  0.0737  0.2258  0.0434  0.09
Fliere 1977   37  0.3426  0.0047  0.0472  0.0464  0.0451  0.04
Fou 1978   4  0.4687  0.0015  0.118  0.5178  0.0416  0.14
Francois 1956   41  0.338  0.0319  0.0822  0.3185  0.0331  0.10
Friedman 1923   87  0.1189  0.0087  0.0287  0.0285  0.0390  0.02
Friedman 1923b   86  0.1190  0.0086  0.0286  0.0285  0.0389  0.02
Friedman 1930   80  0.2085  0.0082  0.0380  0.0384  0.0382  0.03
Garcia 2007   67  0.2765  0.0067  0.0462  0.0484  0.0384  0.03
Garcia 2007b   51  0.3141  0.0049  0.0550  0.0577  0.0370  0.04
Gierzod 1998   25  0.3830  0.0028  0.0626  0.2781  0.0335  0.09
Gornostaeva 1994   42  0.3333  0.0025  0.0739  0.2086  0.0244  0.06
Groot 1988   30  0.3627  0.0034  0.0520  0.3361  0.0427  0.11
Harasiewicz 1955   38  0.3410  0.0346  0.0471  0.0466  0.0469  0.04
Hatto 1993   24  0.3850  0.0032  0.0632  0.2585  0.0338  0.09
Hatto 1997   20  0.4017  0.0112  0.0917  0.4176  0.0418  0.13
Horowitz 1949   82  0.1880  0.0083  0.0384  0.0368  0.0376  0.03
Indjic 1988   26  0.3840  0.0033  0.0638  0.2276  0.0433  0.09
Kapell 1951   52  0.3164  0.0048  0.0460  0.0464  0.0456  0.04
Kissin 1993   55  0.3188  0.0063  0.0646  0.0681  0.0360  0.04
Kushner 1989   23  0.3824  0.0023  0.0636  0.2380  0.0340  0.08
Luisada 1991   28  0.3774  0.0044  0.0444  0.0774  0.0446  0.05
Lushtak 2004   5  0.4648  0.008  0.119  0.4953  0.0512  0.16
Malcuzynski 1961   78  0.2281  0.0081  0.0474  0.0467  0.0458  0.04
Magaloff 1978   13  0.4239  0.0016  0.1214  0.4460  0.0417  0.13
Magin 1975   76  0.2358  0.0075  0.0383  0.0379  0.0373  0.03
Michalowski 1933   83  0.1818  0.0176  0.0382  0.0387  0.0379  0.03
Milkina 1970   9  0.432  0.144  0.162  0.5940  0.166  0.31
Mohovich 1999   27  0.3734  0.0036  0.0628  0.2660  0.0526  0.11
Moravec 1969   45  0.3319  0.0152  0.0645  0.0648  0.0545  0.05
Morozova 2008   66  0.2875  0.0071  0.0549  0.0571  0.0462  0.04
Neighaus 1950   43  0.3338  0.0058  0.0466  0.0486  0.0288  0.03
Niedzielski 1931   81  0.1977  0.0077  0.0381  0.0352  0.0472  0.03
Ohlsson 1999   19  0.4012  0.0122  0.0716  0.4286  0.0323  0.11
Osinska 1989   15  0.4113  0.0110  0.1011  0.4669  0.0414  0.14
Pachmann 1927   54  0.3167  0.0050  0.0555  0.0567  0.0459  0.04
Paderewski 1930   39  0.3443  0.0041  0.0642  0.1380  0.0342  0.06
Perlemuter 1992   36  0.3546  0.0060  0.0551  0.0573  0.0452  0.04
Pierdomenico 2008   59  0.3072  0.0053  0.0558  0.0572  0.0455  0.04
Poblocka 1999   46  0.3357  0.0042  0.0741  0.1746  0.0628  0.10
Rabcewiczowa 1932   32  0.3637  0.0031  0.0521  0.3277  0.0329  0.10
Rachmaninoff 1923   85  0.1678  0.0084  0.0473  0.0478  0.0454  0.04
Rangell 2001   40  0.3336  0.0013  0.0924  0.2960  0.0520  0.12
Richter 1976   72  0.2531  0.0074  0.0476  0.0482  0.0377  0.03
Rosen 1989   11  0.427  0.0311  0.1113  0.4677  0.0319  0.12
Rosenthal 1930   68  0.2635  0.0054  0.0556  0.0575  0.0366  0.04
Rosenthal 1931   61  0.3054  0.0027  0.0623  0.3137  0.258  0.28
Rosenthal 1931b   50  0.3121  0.0021  0.0718  0.3630  0.305  0.33
Rosenthal 1931c   47  0.3283  0.0039  0.0835  0.2357  0.0430  0.10
Rosenthal 1931d   58  0.3068  0.0038  0.0927  0.2732  0.2310  0.25
Rossi 2007   69  0.2662  0.0068  0.0378  0.0366  0.0471  0.03
Rubinstein 1939   8  0.444  0.083  0.207  0.5113  0.433  0.47
Rubinstein 1952   1  0.491  0.251  0.241  0.6517  0.511  0.58
Rubinstein 1966   7  0.445  0.056  0.2112  0.4642  0.159  0.26
Schilhawsky 1960   75  0.2369  0.0078  0.0379  0.0371  0.0481  0.03
Shebanova 2002   21  0.4055  0.0024  0.0630  0.2563  0.0525  0.11
Smith 1975   18  0.4123  0.0014  0.1010  0.4861  0.0415  0.14
Sokolov 2002   60  0.3042  0.0066  0.0552  0.0566  0.0453  0.04
Sztompka 1959   62  0.2952  0.0073  0.0477  0.0481  0.0378  0.03
Tomsic 1995   34  0.3549  0.0037  0.0631  0.2563  0.0522  0.11
Uninsky 1932   84  0.1670  0.0085  0.0459  0.0487  0.0283  0.03
Uninsky 1971   74  0.246  0.0461  0.0554  0.0580  0.0461  0.04
Wasowski 1980   44  0.3314  0.0155  0.0464  0.0461  0.0550  0.04
Zak 1937   57  0.3076  0.0051  0.0548  0.0586  0.0357  0.04
Zak 1951   56  0.3153  0.0045  0.0461  0.0486  0.0375  0.03
Random 1   90  -0.0261  0.0090  0.0190  0.0116  0.3443  0.06
Random 2   89  0.0245  0.0089  0.0189  0.0127  0.2647  0.05
Random 3   88  0.0356  0.0088  0.0288  0.029  0.4336  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).