Blet 2003

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   27  0.4050  0.0050  0.0555  0.0536  0.1842  0.09
Anderszewski 2003   35  0.3978  0.0053  0.0745  0.0764  0.0550  0.06
Ashkenazy 1981   18  0.4173  0.0046  0.0650  0.0623  0.2930  0.13
Bacha 2000   47  0.3731  0.0021  0.0623  0.2532  0.2613  0.25
Badura 1965   21  0.4123  0.0128  0.0629  0.2237  0.1421  0.18
Barbosa 1983   36  0.3941  0.0063  0.0371  0.0380  0.0374  0.03
Biret 1990   12  0.4357  0.009  0.079  0.4550  0.0625  0.16
Blet 2003   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Block 1995   66  0.3219  0.0126  0.0640  0.1452  0.0547  0.08
Blumental 1952   37  0.3839  0.0023  0.0918  0.3043  0.1220  0.19
Boshniakovich 1969   3  0.485  0.064  0.163  0.5361  0.0524  0.16
Brailowsky 1960   24  0.4051  0.0039  0.0636  0.1651  0.0636  0.10
Bunin 1987   52  0.3643  0.0034  0.0624  0.2535  0.1619  0.20
Bunin 1987b   48  0.3744  0.0035  0.0620  0.2632  0.2314  0.24
Chiu 1999   78  0.2672  0.0078  0.0286  0.0282  0.0283  0.02
Cohen 1997   71  0.3062  0.0033  0.0431  0.2023  0.2218  0.21
Cortot 1951   85  0.1868  0.0085  0.0285  0.0282  0.0288  0.02
Csalog 1996   5  0.453  0.123  0.244  0.5117  0.393  0.45
Czerny 1949   68  0.3175  0.0066  0.0376  0.0374  0.0379  0.03
Czerny 1990   56  0.3576  0.0061  0.0461  0.0484  0.0381  0.03
Duchoud 2007   83  0.2281  0.0081  0.0381  0.0363  0.0565  0.04
Ezaki 2006   14  0.4277  0.0040  0.0638  0.1572  0.0444  0.08
Falvay 1989   22  0.4152  0.0030  0.0643  0.1384  0.0348  0.06
Farrell 1958   86  0.1883  0.0086  0.0378  0.0385  0.0285  0.02
Ferenczy 1958   51  0.379  0.0222  0.0632  0.1935  0.2715  0.23
Fliere 1977   2  0.492  0.122  0.212  0.6039  0.187  0.33
Fou 1978   4  0.477  0.046  0.107  0.4749  0.0622  0.17
Francois 1956   55  0.3653  0.0059  0.0560  0.0557  0.0561  0.05
Friedman 1923   74  0.2848  0.0069  0.0377  0.0347  0.0669  0.04
Friedman 1923b   72  0.3063  0.0060  0.0558  0.0564  0.0559  0.05
Friedman 1930   75  0.2654  0.0074  0.0380  0.0362  0.0476  0.03
Garcia 2007   70  0.3055  0.0076  0.0462  0.0451  0.0566  0.04
Garcia 2007b   73  0.2969  0.0071  0.0372  0.0374  0.0482  0.03
Gierzod 1998   7  0.4370  0.0037  0.0622  0.2683  0.0343  0.09
Gornostaeva 1994   8  0.4329  0.0015  0.0812  0.3949  0.0527  0.14
Groot 1988   9  0.4324  0.0110  0.108  0.4738  0.1412  0.26
Harasiewicz 1955   16  0.4127  0.0054  0.0746  0.0781  0.0360  0.05
Hatto 1993   49  0.3730  0.0020  0.0717  0.3065  0.0434  0.11
Hatto 1997   42  0.3874  0.0019  0.0716  0.3362  0.0433  0.11
Horowitz 1949   39  0.386  0.0424  0.0628  0.2214  0.459  0.31
Indjic 1988   43  0.3722  0.0118  0.0815  0.3356  0.0528  0.13
Kapell 1951   50  0.3728  0.0047  0.0652  0.0663  0.0555  0.05
Kissin 1993   38  0.3860  0.0055  0.0554  0.0560  0.0557  0.05
Kushner 1989   17  0.4140  0.0049  0.0649  0.0677  0.0454  0.05
Luisada 1991   1  0.511  0.231  0.221  0.6210  0.581  0.60
Lushtak 2004   25  0.4079  0.0029  0.0521  0.2673  0.0438  0.10
Malcuzynski 1961   62  0.3321  0.0172  0.0370  0.0387  0.0286  0.02
Magaloff 1978   63  0.3384  0.0075  0.0368  0.0372  0.0370  0.03
Magin 1975   6  0.458  0.0311  0.0819  0.2761  0.0437  0.10
Michalowski 1933   44  0.3712  0.0225  0.0635  0.1610  0.5210  0.29
Milkina 1970   11  0.4333  0.0016  0.0913  0.3960  0.0526  0.14
Mohovich 1999   19  0.4125  0.0117  0.0810  0.4344  0.1017  0.21
Moravec 1969   41  0.3867  0.0052  0.0647  0.0664  0.0552  0.05
Morozova 2008   61  0.3334  0.0057  0.0648  0.0665  0.0558  0.05
Neighaus 1950   15  0.4213  0.025  0.106  0.4710  0.522  0.49
Niedzielski 1931   29  0.3914  0.0112  0.0614  0.369  0.455  0.40
Ohlsson 1999   28  0.3910  0.0213  0.0626  0.2446  0.0632  0.12
Osinska 1989   26  0.4061  0.0041  0.0733  0.1967  0.0439  0.09
Pachmann 1927   87  0.1180  0.0087  0.0287  0.0288  0.0189  0.01
Paderewski 1930   84  0.2182  0.0084  0.0369  0.0356  0.0563  0.04
Perlemuter 1992   53  0.3615  0.0145  0.0556  0.0530  0.2731  0.12
Pierdomenico 2008   79  0.2638  0.0077  0.0382  0.0380  0.0372  0.03
Poblocka 1999   58  0.3458  0.0056  0.0553  0.0560  0.0653  0.05
Rabcewiczowa 1932   82  0.2389  0.0062  0.0465  0.0477  0.0373  0.03
Rachmaninoff 1923   67  0.3264  0.0073  0.0373  0.0374  0.0371  0.03
Rangell 2001   77  0.2635  0.0080  0.0383  0.0358  0.0667  0.04
Richter 1976   33  0.394  0.088  0.0934  0.1752  0.0446  0.08
Rosen 1989   57  0.3571  0.0070  0.0374  0.0383  0.0380  0.03
Rosenthal 1930   45  0.3742  0.0048  0.0557  0.0531  0.3529  0.13
Rosenthal 1931   46  0.3718  0.0132  0.0544  0.1033  0.2523  0.16
Rosenthal 1931b   34  0.3932  0.0031  0.0530  0.2114  0.508  0.32
Rosenthal 1931c   23  0.4049  0.0036  0.0627  0.2334  0.2116  0.22
Rosenthal 1931d   31  0.3920  0.0127  0.0725  0.2413  0.506  0.35
Rossi 2007   69  0.3156  0.0067  0.0379  0.0357  0.0562  0.04
Rubinstein 1939   76  0.2645  0.0079  0.0384  0.0388  0.0284  0.02
Rubinstein 1952   65  0.3290  0.0065  0.0463  0.0469  0.0468  0.04
Rubinstein 1966   60  0.3485  0.0068  0.0464  0.0480  0.0375  0.03
Schilhawsky 1960   59  0.3411  0.0238  0.0737  0.1549  0.0541  0.09
Shebanova 2002   80  0.2547  0.0082  0.0367  0.0383  0.0378  0.03
Smith 1975   10  0.4317  0.0114  0.0711  0.4043  0.1711  0.26
Sokolov 2002   13  0.4216  0.017  0.095  0.4927  0.404  0.44
Sztompka 1959   64  0.3326  0.0058  0.0559  0.0559  0.0556  0.05
Tomsic 1995   40  0.3859  0.0051  0.0651  0.0655  0.0649  0.06
Uninsky 1932   81  0.2586  0.0083  0.0375  0.0358  0.0477  0.03
Uninsky 1971   54  0.3665  0.0064  0.0466  0.0468  0.0464  0.04
Wasowski 1980   32  0.3936  0.0044  0.0742  0.1348  0.0735  0.10
Zak 1937   20  0.4137  0.0042  0.0539  0.1566  0.0445  0.08
Zak 1951   30  0.3946  0.0043  0.0641  0.1347  0.0640  0.09
Random 1   89  -0.0687  0.0088  0.0289  0.0233  0.2051  0.06
Random 2   90  -0.0988  0.0090  0.0190  0.0186  0.0290  0.01
Random 3   88  -0.0466  0.0089  0.0288  0.0273  0.0387  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).