Hatto 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   52  0.4223  0.0077  0.0552  0.0526  0.3855  0.14
Anderszewski 2003   26  0.5224  0.0014  0.0719  0.4529  0.4326  0.44
Ashkenazy 1981   74  0.3525  0.0084  0.0386  0.0373  0.0388  0.03
Bacha 2000   57  0.4226  0.0076  0.0467  0.0413  0.4651  0.14
Badura 1965   46  0.453  0.0049  0.0550  0.0511  0.4749  0.15
Barbosa 1983   17  0.5427  0.0036  0.1133  0.3459  0.0748  0.15
Biret 1990   18  0.5428  0.0022  0.1016  0.5219  0.4719  0.49
Blet 2003   69  0.3829  0.0048  0.0463  0.0417  0.3368  0.11
Block 1995   68  0.3830  0.0068  0.0472  0.0446  0.0784  0.05
Blumental 1952   9  0.5731  0.0017  0.0710  0.5510  0.679  0.61
Boshniakovich 1969   44  0.465  0.0028  0.0932  0.3529  0.2937  0.32
Brailowsky 1960   35  0.5032  0.0040  0.0940  0.2136  0.3339  0.26
Bunin 1987   56  0.4233  0.0062  0.0470  0.0427  0.2675  0.10
Bunin 1987b   60  0.4134  0.0063  0.0464  0.0424  0.3561  0.12
Chiu 1999   58  0.4235  0.0067  0.0471  0.0428  0.2572  0.10
Cohen 1997   73  0.374  0.0058  0.0554  0.056  0.5446  0.16
Cortot 1951   77  0.3436  0.0078  0.0474  0.0420  0.4656  0.14
Csalog 1996   37  0.4837  0.0011  0.0831  0.3615  0.4730  0.41
Czerny 1949   29  0.5138  0.0010  0.0912  0.5424  0.6112  0.57
Czerny 1990   10  0.5739  0.008  0.147  0.6820  0.666  0.67
Duchoud 2007   82  0.3140  0.0085  0.0469  0.0442  0.2276  0.09
Ezaki 2006   13  0.5541  0.0035  0.0928  0.4031  0.2836  0.33
Falvay 1989   12  0.5514  0.0030  0.1027  0.4234  0.4129  0.41
Farrell 1958   53  0.4242  0.0044  0.0544  0.0931  0.3444  0.17
Ferenczy 1958   30  0.5143  0.0041  0.0741  0.1510  0.6338  0.31
Fliere 1977   16  0.5444  0.0034  0.1030  0.3933  0.3632  0.37
Fou 1978   47  0.4545  0.0059  0.0549  0.0552  0.0683  0.05
Francois 1956   79  0.3246  0.0075  0.0382  0.0338  0.2078  0.08
Friedman 1923   61  0.4015  0.0055  0.0553  0.057  0.5745  0.17
Friedman 1923b   64  0.3947  0.0066  0.0466  0.0412  0.5450  0.15
Friedman 1930   67  0.387  0.0069  0.0380  0.0320  0.4369  0.11
Garcia 2007   78  0.3411  0.0064  0.0468  0.0421  0.4560  0.13
Garcia 2007b   51  0.436  0.0031  0.0836  0.3115  0.5628  0.42
Gierzod 1998   5  0.6448  0.005  0.326  0.708  0.627  0.66
Gornostaeva 1994   55  0.4216  0.0060  0.0459  0.0443  0.0981  0.06
Groot 1988   19  0.5349  0.0015  0.0717  0.512  0.6013  0.55
Harasiewicz 1955   7  0.6017  0.009  0.218  0.6711  0.638  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   81  0.3150  0.0081  0.0379  0.0320  0.3967  0.11
Indjic 1988   1  0.981  0.681  0.681  1.001  1.001  1.00
Kapell 1951   48  0.4551  0.0053  0.0746  0.0748  0.0879  0.07
Kissin 1993   38  0.4852  0.0013  0.0734  0.3426  0.4731  0.40
Kushner 1989   15  0.5453  0.0018  0.0711  0.5429  0.3723  0.45
Luisada 1991   41  0.4854  0.0042  0.0642  0.1217  0.4940  0.24
Lushtak 2004   14  0.5455  0.0021  0.0913  0.5312  0.5615  0.54
Malcuzynski 1961   32  0.5056  0.0026  0.0820  0.4529  0.4027  0.42
Magaloff 1978   11  0.5657  0.0019  0.0718  0.514  0.6510  0.58
Magin 1975   43  0.4658  0.0051  0.0457  0.0434  0.2473  0.10
Michalowski 1933   88  0.1259  0.0088  0.0389  0.0386  0.0289  0.02
Milkina 1970   8  0.5960  0.007  0.139  0.6223  0.4714  0.54
Mohovich 1999   20  0.5312  0.0020  0.0815  0.5219  0.5117  0.51
Moravec 1969   31  0.5161  0.0032  0.0929  0.3914  0.5122  0.45
Morozova 2008   63  0.3962  0.0056  0.0456  0.0439  0.1480  0.07
Neighaus 1950   80  0.3263  0.0074  0.0477  0.0424  0.3664  0.12
Niedzielski 1931   83  0.2913  0.0083  0.0381  0.0345  0.0982  0.05
Ohlsson 1999   45  0.4664  0.0045  0.0545  0.0927  0.3943  0.19
Osinska 1989   4  0.6765  0.004  0.284  0.779  0.684  0.72
Pachmann 1927   87  0.2166  0.0087  0.0385  0.0367  0.0387  0.03
Paderewski 1930   86  0.2367  0.0073  0.0384  0.0311  0.4862  0.12
Perlemuter 1992   76  0.3468  0.0057  0.0548  0.0513  0.4347  0.15
Pierdomenico 2008   70  0.378  0.0050  0.0465  0.0419  0.5052  0.14
Poblocka 1999   24  0.529  0.0029  0.0926  0.4222  0.4625  0.44
Rabcewiczowa 1932   50  0.4310  0.0037  0.0938  0.2232  0.2741  0.24
Rachmaninoff 1923   42  0.4769  0.0025  0.0935  0.3121  0.4533  0.37
Rangell 2001   71  0.3718  0.0072  0.0387  0.0337  0.2277  0.08
Richter 1976   75  0.3570  0.0082  0.0383  0.0374  0.0386  0.03
Rosen 1989   22  0.5371  0.0012  0.0725  0.4210  0.5818  0.49
Rosenthal 1930   59  0.4272  0.0070  0.0378  0.0325  0.4071  0.11
Rosenthal 1931   62  0.4073  0.0071  0.0460  0.0424  0.4059  0.13
Rosenthal 1931b   66  0.3874  0.0080  0.0461  0.0421  0.3965  0.12
Rosenthal 1931c   49  0.4575  0.0054  0.0458  0.0418  0.4657  0.14
Rosenthal 1931d   65  0.3976  0.0079  0.0476  0.0424  0.3763  0.12
Rossi 2007   85  0.2777  0.0086  0.0462  0.0468  0.0485  0.04
Rubinstein 1939   25  0.5278  0.0024  0.0924  0.4311  0.5420  0.48
Rubinstein 1952   34  0.5019  0.0027  0.0823  0.4525  0.4524  0.45
Rubinstein 1966   6  0.6020  0.006  0.275  0.7210  0.675  0.69
Schilhawsky 1960   33  0.5021  0.0039  0.1037  0.2724  0.4634  0.35
Shebanova 2002   36  0.4979  0.0023  0.0821  0.459  0.5716  0.51
Smith 1975   39  0.4880  0.0052  0.0551  0.0529  0.3558  0.13
Sokolov 2002   40  0.4881  0.0038  0.0939  0.2111  0.5435  0.34
Sztompka 1959   72  0.3782  0.0043  0.0543  0.1032  0.3742  0.19
Tomsic 1995   54  0.4283  0.0065  0.0475  0.0429  0.2866  0.11
Uninsky 1932   84  0.2784  0.0061  0.0473  0.0436  0.2374  0.10
Uninsky 1971   21  0.5385  0.0016  0.0914  0.5210  0.6211  0.57
Wasowski 1980   23  0.5222  0.0033  0.1022  0.4517  0.5021  0.47
Zak 1937   27  0.5186  0.0046  0.0555  0.0527  0.4053  0.14
Zak 1951   28  0.5187  0.0047  0.0647  0.0627  0.3454  0.14
Average   3  0.7488  0.003  0.723  0.8911  0.693  0.78
Random 1   91  -0.1289  0.0091  0.0191  0.0186  0.0291  0.01
Random 2   89  0.0590  0.0089  0.0388  0.0312  0.4270  0.11
Random 3   90  -0.1091  0.0090  0.0190  0.0177  0.0390  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).