Hatto 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   51  0.4223  0.0076  0.0551  0.0525  0.3854  0.14
Anderszewski 2003   25  0.5224  0.0013  0.0718  0.4528  0.4325  0.44
Ashkenazy 1981   73  0.3525  0.0083  0.0385  0.0372  0.0387  0.03
Bacha 2000   56  0.4226  0.0075  0.0466  0.0412  0.4650  0.14
Badura 1965   45  0.453  0.0048  0.0549  0.0510  0.4748  0.15
Barbosa 1983   16  0.5427  0.0035  0.1132  0.3458  0.0747  0.15
Biret 1990   17  0.5428  0.0021  0.1015  0.5218  0.4718  0.49
Blet 2003   68  0.3829  0.0047  0.0462  0.0416  0.3370  0.11
Block 1995   67  0.3830  0.0067  0.0471  0.0445  0.0783  0.05
Blumental 1952   8  0.5731  0.0016  0.079  0.559  0.678  0.61
Boshniakovich 1969   43  0.465  0.0027  0.0931  0.3528  0.2936  0.32
Brailowsky 1960   34  0.5032  0.0039  0.0939  0.2135  0.3338  0.26
Bunin 1987   55  0.4233  0.0061  0.0469  0.0426  0.2674  0.10
Bunin 1987b   59  0.4134  0.0062  0.0463  0.0423  0.3562  0.12
Chiu 1999   57  0.4235  0.0066  0.0470  0.0427  0.2572  0.10
Cohen 1997   72  0.374  0.0057  0.0553  0.055  0.5445  0.16
Cortot 1951   76  0.3436  0.0077  0.0473  0.0419  0.4655  0.14
Csalog 1996   36  0.4837  0.0010  0.0830  0.3614  0.4729  0.41
Czerny 1949   28  0.5138  0.009  0.0911  0.5423  0.6111  0.57
Czerny 1990   9  0.5739  0.007  0.156  0.6819  0.665  0.67
Duchoud 2007   81  0.3140  0.0084  0.0468  0.0441  0.2275  0.09
Ezaki 2006   12  0.5541  0.0034  0.0927  0.4030  0.2835  0.33
Falvay 1989   11  0.5514  0.0029  0.1026  0.4233  0.4128  0.41
Farrell 1958   52  0.4242  0.0043  0.0543  0.0930  0.3443  0.17
Ferenczy 1958   29  0.5143  0.0040  0.0740  0.159  0.6337  0.31
Fliere 1977   15  0.5444  0.0033  0.1129  0.3932  0.3631  0.37
Fou 1978   46  0.4545  0.0058  0.0548  0.0551  0.0682  0.05
Francois 1956   78  0.3246  0.0074  0.0381  0.0337  0.2078  0.08
Friedman 1923   60  0.4015  0.0054  0.0552  0.056  0.5744  0.17
Friedman 1923b   63  0.3947  0.0065  0.0465  0.0411  0.5449  0.15
Friedman 1930   66  0.387  0.0068  0.0479  0.0419  0.4359  0.13
Garcia 2007   77  0.3411  0.0063  0.0467  0.0420  0.4560  0.13
Garcia 2007b   50  0.436  0.0030  0.0835  0.3114  0.5627  0.42
Gierzod 1998   4  0.6448  0.004  0.335  0.707  0.626  0.66
Gornostaeva 1994   54  0.4216  0.0059  0.0458  0.0442  0.0980  0.06
Groot 1988   18  0.5349  0.0014  0.0716  0.511  0.6012  0.55
Harasiewicz 1955   6  0.6017  0.008  0.217  0.6710  0.637  0.65
Hatto 1993   2  0.972  0.312  0.962  0.992  0.992  0.99
Hatto 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Horowitz 1949   80  0.3150  0.0080  0.0478  0.0419  0.3963  0.12
Indjic 1988   1  0.981  0.681  0.681  1.001  1.001  1.00
Kapell 1951   47  0.4551  0.0052  0.0745  0.0747  0.0879  0.07
Kissin 1993   37  0.4852  0.0012  0.0733  0.3425  0.4730  0.40
Kushner 1989   14  0.5453  0.0017  0.0710  0.5428  0.3722  0.45
Luisada 1991   40  0.4854  0.0041  0.0641  0.1216  0.4939  0.24
Lushtak 2004   13  0.5455  0.0020  0.0912  0.5311  0.5614  0.54
Malcuzynski 1961   31  0.5056  0.0025  0.0819  0.4528  0.4026  0.42
Magaloff 1978   10  0.5657  0.0018  0.0717  0.513  0.659  0.58
Magin 1975   42  0.4658  0.0050  0.0556  0.0533  0.2468  0.11
Michalowski 1933   87  0.1259  0.0087  0.0388  0.0385  0.0288  0.02
Milkina 1970   7  0.5960  0.006  0.138  0.6222  0.4713  0.54
Mohovich 1999   19  0.5312  0.0019  0.0814  0.5218  0.5116  0.51
Moravec 1969   30  0.5161  0.0031  0.1028  0.3913  0.5121  0.45
Morozova 2008   62  0.3962  0.0055  0.0555  0.0538  0.1476  0.08
Neighaus 1950   79  0.3263  0.0073  0.0476  0.0423  0.3666  0.12
Niedzielski 1931   82  0.2913  0.0082  0.0380  0.0344  0.0981  0.05
Ohlsson 1999   44  0.4664  0.0044  0.0544  0.0926  0.3942  0.19
Osinska 1989   3  0.6765  0.003  0.283  0.778  0.683  0.72
Pachmann 1927   86  0.2166  0.0086  0.0384  0.0366  0.0386  0.03
Paderewski 1930   85  0.2367  0.0072  0.0383  0.0310  0.4864  0.12
Perlemuter 1992   75  0.3468  0.0056  0.0547  0.0512  0.4346  0.15
Pierdomenico 2008   69  0.378  0.0049  0.0464  0.0418  0.5051  0.14
Poblocka 1999   23  0.529  0.0028  0.1025  0.4221  0.4624  0.44
Rabcewiczowa 1932   49  0.4310  0.0036  0.0937  0.2231  0.2740  0.24
Rachmaninoff 1923   41  0.4769  0.0024  0.0934  0.3120  0.4532  0.37
Rangell 2001   70  0.3718  0.0071  0.0386  0.0336  0.2277  0.08
Richter 1976   74  0.3570  0.0081  0.0382  0.0373  0.0385  0.03
Rosen 1989   21  0.5371  0.0011  0.0724  0.429  0.5817  0.49
Rosenthal 1930   58  0.4272  0.0069  0.0477  0.0424  0.4061  0.13
Rosenthal 1931   61  0.4073  0.0070  0.0459  0.0423  0.4058  0.13
Rosenthal 1931b   65  0.3874  0.0079  0.0460  0.0420  0.3967  0.12
Rosenthal 1931c   48  0.4575  0.0053  0.0457  0.0417  0.4656  0.14
Rosenthal 1931d   64  0.3976  0.0078  0.0475  0.0423  0.3765  0.12
Rossi 2007   84  0.2777  0.0085  0.0461  0.0467  0.0484  0.04
Rubinstein 1939   24  0.5278  0.0023  0.0923  0.4310  0.5419  0.48
Rubinstein 1952   33  0.5019  0.0026  0.0822  0.4524  0.4523  0.45
Rubinstein 1966   5  0.6020  0.005  0.284  0.729  0.674  0.69
Schilhawsky 1960   32  0.5021  0.0038  0.1136  0.2723  0.4633  0.35
Shebanova 2002   35  0.4979  0.0022  0.0820  0.458  0.5715  0.51
Smith 1975   38  0.4880  0.0051  0.0550  0.0528  0.3557  0.13
Sokolov 2002   39  0.4881  0.0037  0.0938  0.2110  0.5434  0.34
Sztompka 1959   71  0.3782  0.0042  0.0542  0.1031  0.3741  0.19
Tomsic 1995   53  0.4283  0.0064  0.0474  0.0428  0.2869  0.11
Uninsky 1932   83  0.2784  0.0060  0.0472  0.0435  0.2373  0.10
Uninsky 1971   20  0.5385  0.0015  0.0913  0.529  0.6210  0.57
Wasowski 1980   22  0.5222  0.0032  0.1021  0.4516  0.5020  0.47
Zak 1937   26  0.5186  0.0045  0.0554  0.0526  0.4052  0.14
Zak 1951   27  0.5187  0.0046  0.0646  0.0626  0.3453  0.14
Random 1   90  -0.1288  0.0090  0.0190  0.0185  0.0290  0.01
Random 2   88  0.0589  0.0088  0.0387  0.0313  0.4171  0.11
Random 3   89  -0.1090  0.0089  0.0189  0.0176  0.0389  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).