Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   38  0.3910  0.0159  0.0645  0.0677  0.0359  0.04
Anderszewski 2003   22  0.4317  0.0016  0.0924  0.3069  0.0336  0.09
Ashkenazy 1981   39  0.3933  0.0057  0.0551  0.0569  0.0463  0.04
Bacha 2000   21  0.4337  0.0027  0.0723  0.3262  0.0521  0.13
Badura 1965   78  0.2831  0.0067  0.0385  0.0379  0.0382  0.03
Barbosa 1983   25  0.4240  0.0026  0.0728  0.2861  0.0524  0.12
Biret 1990   11  0.4929  0.0014  0.1612  0.4452  0.0616  0.16
Blet 2003   52  0.3786  0.0062  0.0557  0.0578  0.0357  0.04
Block 1995   80  0.2774  0.0048  0.0552  0.0586  0.0283  0.03
Blumental 1952   26  0.4243  0.0025  0.0730  0.2779  0.0337  0.09
Boshniakovich 1969   62  0.3487  0.0047  0.0647  0.0681  0.0362  0.04
Brailowsky 1960   15  0.4626  0.0020  0.1117  0.4032  0.326  0.36
Bunin 1987   69  0.3222  0.0081  0.0474  0.0484  0.0384  0.03
Bunin 1987b   72  0.316  0.0182  0.0464  0.0485  0.0371  0.03
Chiu 1999   40  0.3949  0.0032  0.0732  0.2680  0.0335  0.09
Cohen 1997   20  0.4434  0.006  0.1913  0.437  0.514  0.47
Cortot 1951   66  0.3283  0.0075  0.0471  0.0484  0.0387  0.03
Csalog 1996   31  0.4142  0.0010  0.1222  0.3231  0.288  0.30
Czerny 1949   35  0.4020  0.0040  0.0538  0.1669  0.0439  0.08
Czerny 1990   27  0.4259  0.0039  0.0536  0.1775  0.0343  0.07
Duchoud 2007   45  0.3854  0.0061  0.0562  0.0561  0.0460  0.04
Ezaki 2006   37  0.4079  0.0058  0.0549  0.0586  0.0351  0.04
Falvay 1989   16  0.4613  0.0018  0.0819  0.3648  0.0715  0.16
Farrell 1958   6  0.5239  0.009  0.189  0.4623  0.325  0.38
Ferenczy 1958   68  0.3241  0.0079  0.0386  0.0370  0.0377  0.03
Fliere 1977   14  0.4773  0.0021  0.1214  0.4256  0.0519  0.14
Fou 1978   9  0.5019  0.004  0.204  0.5540  0.1410  0.28
Francois 1956   63  0.3445  0.0064  0.0475  0.0466  0.0388  0.03
Friedman 1923   85  0.1988  0.0087  0.0477  0.0482  0.0389  0.03
Friedman 1923b   83  0.1989  0.0086  0.0379  0.0382  0.0385  0.03
Friedman 1930   84  0.1955  0.0084  0.0287  0.0275  0.0476  0.03
Garcia 2007   81  0.2664  0.0069  0.0384  0.0365  0.0480  0.03
Garcia 2007b   71  0.3251  0.0042  0.0639  0.1472  0.0445  0.07
Gierzod 1998   28  0.4257  0.0041  0.0537  0.1678  0.0342  0.07
Gornostaeva 1994   41  0.3956  0.0015  0.0834  0.2153  0.0533  0.10
Groot 1988   44  0.385  0.0135  0.0735  0.1879  0.0344  0.07
Harasiewicz 1955   59  0.3514  0.0050  0.0554  0.0575  0.0364  0.04
Hatto 1993   7  0.5124  0.008  0.157  0.4941  0.1211  0.24
Hatto 1997   4  0.543  0.105  0.205  0.5230  0.227  0.34
Horowitz 1949   65  0.3311  0.0176  0.0561  0.0556  0.0549  0.05
Indjic 1988   5  0.5232  0.007  0.146  0.4936  0.179  0.29
Kapell 1951   29  0.4225  0.0037  0.0441  0.1284  0.0347  0.06
Kissin 1993   36  0.4038  0.0030  0.0829  0.2862  0.0523  0.12
Kushner 1989   18  0.4536  0.0028  0.0716  0.4076  0.0329  0.11
Luisada 1991   8  0.5175  0.0013  0.1010  0.4649  0.0612  0.17
Lushtak 2004   34  0.4078  0.0031  0.0727  0.2968  0.0431  0.11
Malcuzynski 1961   67  0.3265  0.0068  0.0560  0.0580  0.0356  0.04
Magaloff 1978   30  0.4262  0.0033  0.0733  0.2452  0.0528  0.11
Magin 1975   50  0.3727  0.0036  0.0544  0.0954  0.0540  0.07
Michalowski 1933   87  0.1480  0.0085  0.0381  0.0374  0.0474  0.03
Milkina 1970   3  0.574  0.073  0.563  0.708  0.543  0.61
Mohovich 1999   24  0.4284  0.0034  0.0825  0.3074  0.0338  0.09
Moravec 1969   33  0.419  0.0138  0.0440  0.1375  0.0346  0.06
Morozova 2008   10  0.508  0.0111  0.118  0.4747  0.0614  0.17
Neighaus 1950   54  0.3646  0.0060  0.0558  0.0585  0.0286  0.03
Niedzielski 1931   64  0.3316  0.0063  0.0555  0.0586  0.0269  0.03
Ohlsson 1999   13  0.4712  0.0023  0.0726  0.2960  0.0430  0.11
Osinska 1989   19  0.4476  0.0012  0.1111  0.4459  0.0517  0.15
Pachmann 1927   60  0.3553  0.0043  0.0642  0.1140  0.1720  0.14
Paderewski 1930   76  0.2970  0.0072  0.0476  0.0487  0.0372  0.03
Perlemuter 1992   70  0.3252  0.0073  0.0467  0.0467  0.0452  0.04
Pierdomenico 2008   79  0.2830  0.0070  0.0469  0.0473  0.0455  0.04
Poblocka 1999   48  0.3718  0.0052  0.0548  0.0583  0.0453  0.04
Rabcewiczowa 1932   58  0.3566  0.0049  0.0466  0.0484  0.0370  0.03
Rachmaninoff 1923   46  0.387  0.0154  0.0470  0.0480  0.0368  0.03
Rangell 2001   55  0.3647  0.0017  0.0831  0.2754  0.0526  0.12
Richter 1976   74  0.3035  0.0065  0.0478  0.0444  0.1241  0.07
Rosen 1989   49  0.3760  0.0053  0.0559  0.0573  0.0461  0.04
Rosenthal 1930   73  0.3158  0.0077  0.0468  0.0485  0.0281  0.03
Rosenthal 1931   47  0.3881  0.0044  0.0543  0.1038  0.2418  0.15
Rosenthal 1931b   56  0.3582  0.0055  0.0465  0.0450  0.0565  0.04
Rosenthal 1931c   53  0.3628  0.0056  0.0646  0.0667  0.0450  0.05
Rosenthal 1931d   51  0.3763  0.0051  0.0553  0.0535  0.2034  0.10
Rossi 2007   86  0.1885  0.0078  0.0382  0.0385  0.0367  0.03
Rubinstein 1939   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1952   2  0.631  0.471  0.471  0.744  0.681  0.71
Rubinstein 1966   1  0.682  0.232  0.562  0.735  0.672  0.70
Schilhawsky 1960   75  0.3067  0.0074  0.0563  0.0585  0.0358  0.04
Shebanova 2002   32  0.4168  0.0019  0.1020  0.3474  0.0425  0.12
Smith 1975   42  0.3971  0.0045  0.0550  0.0582  0.0354  0.04
Sokolov 2002   57  0.3561  0.0066  0.0380  0.0381  0.0366  0.03
Sztompka 1959   61  0.3421  0.0071  0.0473  0.0483  0.0373  0.03
Tomsic 1995   43  0.3869  0.0046  0.0556  0.0559  0.0548  0.05
Uninsky 1932   82  0.2644  0.0083  0.0472  0.0486  0.0378  0.03
Uninsky 1971   77  0.2948  0.0080  0.0383  0.0385  0.0375  0.03
Wasowski 1980   23  0.4323  0.0029  0.0721  0.3268  0.0427  0.11
Zak 1937   12  0.4715  0.0022  0.0915  0.4045  0.0713  0.17
Zak 1951   17  0.4572  0.0024  0.0618  0.3967  0.0422  0.12
Random 1   88  0.0077  0.0088  0.0288  0.024  0.4732  0.10
Random 2   89  -0.0250  0.0089  0.0289  0.0258  0.0479  0.03
Random 3   90  -0.0790  0.0090  0.0190  0.0185  0.0290  0.01

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).