Hatto 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.6822  0.0015  0.1119  0.3920  0.4620  0.42
Anderszewski 2003   21  0.6523  0.0041  0.0637  0.1729  0.3835  0.25
Ashkenazy 1981   23  0.6424  0.0030  0.1029  0.2621  0.3832  0.31
Bacha 2000   54  0.5325  0.0065  0.0472  0.0423  0.3360  0.11
Badura 1965   22  0.643  0.0042  0.0832  0.226  0.6227  0.37
Barbosa 1983   47  0.5526  0.0066  0.0471  0.0446  0.0774  0.05
Biret 1990   40  0.5811  0.0045  0.0741  0.1436  0.2244  0.18
Blet 2003   58  0.5127  0.0057  0.0466  0.0412  0.4357  0.13
Block 1995   67  0.4728  0.0059  0.0463  0.0449  0.0675  0.05
Blumental 1952   26  0.6329  0.0040  0.0534  0.1918  0.3734  0.27
Boshniakovich 1969   28  0.625  0.0012  0.1013  0.5010  0.5811  0.54
Brailowsky 1960   63  0.4830  0.0078  0.0464  0.0479  0.0478  0.04
Bunin 1987   73  0.4431  0.0073  0.0653  0.0627  0.3950  0.15
Bunin 1987b   74  0.4332  0.0072  0.0559  0.0525  0.3953  0.14
Chiu 1999   30  0.6233  0.0049  0.0556  0.0512  0.3852  0.14
Cohen 1997   62  0.4934  0.0071  0.0469  0.0416  0.4058  0.13
Cortot 1951   65  0.4835  0.0067  0.0475  0.0415  0.5256  0.14
Csalog 1996   77  0.4136  0.0070  0.0473  0.0437  0.1767  0.08
Czerny 1949   17  0.6637  0.0011  0.127  0.5512  0.579  0.56
Czerny 1990   12  0.6738  0.0027  0.0823  0.3622  0.4424  0.40
Duchoud 2007   69  0.4539  0.0075  0.0652  0.0634  0.1962  0.11
Ezaki 2006   19  0.6640  0.0032  0.0640  0.1630  0.3237  0.23
Falvay 1989   75  0.4241  0.0084  0.0383  0.0362  0.0679  0.04
Farrell 1958   45  0.5642  0.0054  0.0748  0.0745  0.1463  0.10
Ferenczy 1958   44  0.5643  0.0048  0.0651  0.0614  0.5045  0.17
Fliere 1977   4  0.7144  0.005  0.246  0.568  0.5310  0.54
Fou 1978   38  0.5845  0.0039  0.0642  0.1339  0.1748  0.15
Francois 1956   70  0.4546  0.0074  0.0561  0.0553  0.0576  0.05
Friedman 1923   8  0.7012  0.008  0.1412  0.506  0.707  0.59
Friedman 1923b   6  0.7047  0.007  0.1110  0.526  0.706  0.60
Friedman 1930   16  0.6648  0.0019  0.0815  0.437  0.6313  0.52
Garcia 2007   53  0.5349  0.0056  0.0749  0.0722  0.4543  0.18
Garcia 2007b   49  0.5413  0.0021  0.0627  0.279  0.5326  0.38
Gierzod 1998   5  0.7050  0.004  0.174  0.6416  0.604  0.62
Gornostaeva 1994   66  0.4714  0.0064  0.0379  0.0361  0.0387  0.03
Groot 1988   57  0.5151  0.0037  0.0545  0.1132  0.2051  0.15
Harasiewicz 1955   7  0.7052  0.0014  0.099  0.5321  0.5412  0.53
Hatto 1993   2  0.992  0.322  0.972  1.002  0.992  0.99
Hatto 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Horowitz 1949   61  0.4953  0.0060  0.0465  0.0418  0.4954  0.14
Indjic 1988   1  1.001  0.681  0.671  1.001  1.001  1.00
Kapell 1951   51  0.5354  0.0034  0.0533  0.2035  0.2340  0.21
Kissin 1993   31  0.6115  0.0022  0.0717  0.3924  0.4918  0.44
Kushner 1989   32  0.6055  0.0044  0.0638  0.1635  0.2739  0.21
Luisada 1991   18  0.6616  0.0028  0.1031  0.2315  0.4731  0.33
Lushtak 2004   20  0.6556  0.0031  0.0828  0.2715  0.5128  0.37
Malcuzynski 1961   76  0.4157  0.0036  0.0444  0.1244  0.0766  0.09
Magaloff 1978   55  0.5258  0.0058  0.0467  0.0433  0.2165  0.09
Magin 1975   41  0.5759  0.0029  0.0735  0.1833  0.2938  0.23
Michalowski 1933   78  0.4017  0.0069  0.0477  0.0435  0.2364  0.10
Milkina 1970   43  0.5618  0.0051  0.0746  0.0747  0.0770  0.07
Mohovich 1999   48  0.557  0.0050  0.0654  0.0635  0.3255  0.14
Moravec 1969   80  0.3960  0.0083  0.0476  0.0461  0.0477  0.04
Morozova 2008   24  0.6361  0.0020  0.0726  0.3018  0.4329  0.36
Neighaus 1950   36  0.5962  0.0018  0.1018  0.3911  0.5716  0.47
Niedzielski 1931   50  0.5363  0.0047  0.0747  0.0719  0.4442  0.18
Ohlsson 1999   25  0.6364  0.0025  0.0722  0.3624  0.4225  0.39
Osinska 1989   9  0.6965  0.009  0.135  0.5910  0.635  0.61
Pachmann 1927   83  0.3766  0.0085  0.0387  0.0360  0.0486  0.03
Paderewski 1930   71  0.4467  0.0061  0.0474  0.048  0.5449  0.15
Perlemuter 1992   52  0.5368  0.0062  0.0468  0.0429  0.3061  0.11
Pierdomenico 2008   82  0.3769  0.0076  0.0558  0.0556  0.0671  0.05
Poblocka 1999   42  0.568  0.0016  0.0824  0.3419  0.4822  0.40
Rabcewiczowa 1932   64  0.4870  0.0063  0.0380  0.0347  0.0772  0.05
Rachmaninoff 1923   34  0.6071  0.0043  0.0643  0.1333  0.2441  0.18
Rangell 2001   88  0.2919  0.0079  0.0384  0.0365  0.0488  0.03
Richter 1976   59  0.5172  0.0055  0.0562  0.0515  0.5447  0.16
Rosen 1989   39  0.5873  0.0038  0.0536  0.1722  0.3636  0.25
Rosenthal 1930   79  0.3974  0.0077  0.0478  0.0448  0.0581  0.04
Rosenthal 1931   86  0.3175  0.0086  0.0386  0.0353  0.0680  0.04
Rosenthal 1931b   87  0.3076  0.0087  0.0381  0.0371  0.0489  0.03
Rosenthal 1931c   84  0.3577  0.0082  0.0385  0.0350  0.0683  0.04
Rosenthal 1931d   85  0.3178  0.0088  0.0470  0.0451  0.0582  0.04
Rossi 2007   68  0.4679  0.0081  0.0382  0.0362  0.0485  0.03
Rubinstein 1939   33  0.6020  0.0046  0.0650  0.0610  0.4346  0.16
Rubinstein 1952   72  0.446  0.0068  0.0557  0.0563  0.0484  0.04
Rubinstein 1966   13  0.674  0.0026  0.0725  0.3220  0.5023  0.40
Schilhawsky 1960   11  0.6780  0.0013  0.1214  0.4619  0.5315  0.49
Shebanova 2002   27  0.6281  0.0010  0.1011  0.5016  0.5014  0.50
Smith 1975   46  0.5582  0.0053  0.0655  0.0646  0.0869  0.07
Sokolov 2002   56  0.5283  0.0052  0.0560  0.0526  0.2959  0.12
Sztompka 1959   35  0.6084  0.0017  0.0816  0.4127  0.5017  0.45
Tomsic 1995   81  0.389  0.0080  0.0388  0.0348  0.0873  0.05
Uninsky 1932   60  0.5185  0.0033  0.0539  0.1625  0.4533  0.27
Uninsky 1971   37  0.5910  0.006  0.188  0.5515  0.598  0.57
Wasowski 1980   29  0.6221  0.0035  0.0530  0.2316  0.4930  0.34
Zak 1937   14  0.6786  0.0024  0.0920  0.3920  0.4519  0.42
Zak 1951   15  0.6787  0.0023  0.0621  0.3819  0.4521  0.41
Average   3  0.7988  0.003  0.673  0.8415  0.553  0.68
Random 1   90  -0.1489  0.0090  0.0190  0.0183  0.0291  0.01
Random 2   89  0.0090  0.0089  0.0289  0.0215  0.3468  0.08
Random 3   91  -0.1491  0.0091  0.0191  0.0182  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).