Hatto 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   11  0.4350  0.0010  0.128  0.5610  0.598  0.57
Anderszewski 2003   67  0.2340  0.0058  0.0464  0.0435  0.2153  0.09
Ashkenazy 1981   8  0.4549  0.0013  0.099  0.5532  0.4715  0.51
Bacha 2000   27  0.3717  0.0031  0.0635  0.2219  0.4827  0.32
Badura 1965   73  0.1971  0.0078  0.0470  0.0467  0.0475  0.04
Barbosa 1983   20  0.4028  0.0015  0.1311  0.5311  0.637  0.58
Biret 1990   9  0.455  0.0124  0.0818  0.456  0.729  0.57
Blet 2003   18  0.4172  0.0019  0.0917  0.4517  0.5713  0.51
Block 1995   78  0.1673  0.0076  0.0471  0.0478  0.0476  0.04
Blumental 1952   25  0.3841  0.0020  0.1020  0.4311  0.6014  0.51
Boshniakovich 1969   81  0.1454  0.0062  0.0375  0.0363  0.0578  0.04
Brailowsky 1960   88  0.0955  0.0085  0.0289  0.0272  0.0480  0.03
Bunin 1987   51  0.2911  0.0011  0.1225  0.3031  0.4024  0.35
Bunin 1987b   50  0.3044  0.0012  0.1028  0.2931  0.3826  0.33
Chiu 1999   17  0.4133  0.0033  0.0634  0.2256  0.0746  0.12
Cohen 1997   44  0.3242  0.0055  0.0650  0.0634  0.3839  0.15
Cortot 1951   61  0.2434  0.0061  0.0465  0.0451  0.0670  0.05
Csalog 1996   69  0.2162  0.0081  0.0382  0.0364  0.0573  0.04
Czerny 1949   36  0.346  0.0053  0.0558  0.0534  0.5137  0.16
Czerny 1990   33  0.3580  0.0046  0.0653  0.0637  0.3440  0.14
Duchoud 2007   26  0.3823  0.0030  0.1129  0.2737  0.2331  0.25
Ezaki 2006   46  0.3163  0.0051  0.0560  0.0534  0.2745  0.12
Falvay 1989   7  0.473  0.0118  0.0914  0.4810  0.5117  0.49
Farrell 1958   60  0.2556  0.0054  0.0747  0.0756  0.0660  0.06
Ferenczy 1958   70  0.2051  0.0070  0.0468  0.0435  0.5338  0.15
Fliere 1977   66  0.2481  0.0075  0.0376  0.0361  0.0571  0.04
Fou 1978   37  0.3430  0.0043  0.0640  0.1546  0.0751  0.10
Francois 1956   32  0.3520  0.0026  0.0921  0.3714  0.6716  0.50
Friedman 1923   83  0.1464  0.0088  0.0474  0.0483  0.0388  0.03
Friedman 1923b   85  0.1374  0.0087  0.0288  0.0284  0.0390  0.02
Friedman 1930   35  0.3531  0.0040  0.0642  0.1448  0.0948  0.11
Garcia 2007   71  0.207  0.0050  0.0655  0.0652  0.0661  0.06
Garcia 2007b   34  0.3512  0.0022  0.1123  0.3618  0.5519  0.44
Gierzod 1998   84  0.1358  0.0067  0.0466  0.0453  0.0669  0.05
Gornostaeva 1994   38  0.3357  0.0056  0.0651  0.0636  0.3044  0.13
Groot 1988   21  0.4015  0.0021  0.1015  0.4744  0.1430  0.26
Harasiewicz 1955   29  0.3682  0.0037  0.0733  0.2269  0.0454  0.09
Hatto 1993   2  0.792  0.142  0.882  0.942  0.942  0.94
Hatto 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Horowitz 1949   47  0.3175  0.0041  0.0545  0.1142  0.2436  0.16
Indjic 1988   1  0.831  0.791  0.781  0.962  0.961  0.96
Kapell 1951   6  0.4810  0.006  0.125  0.6411  0.595  0.61
Kissin 1993   65  0.2483  0.0063  0.0469  0.0457  0.0767  0.05
Kushner 1989   53  0.2984  0.0069  0.0472  0.0453  0.0664  0.05
Luisada 1991   5  0.4813  0.003  0.274  0.708  0.723  0.71
Lushtak 2004   72  0.1985  0.0079  0.0381  0.0379  0.0385  0.03
Malcuzynski 1961   57  0.2716  0.0047  0.0746  0.0746  0.0857  0.07
Magaloff 1978   80  0.1576  0.0080  0.0377  0.0376  0.0381  0.03
Magin 1975   28  0.3659  0.0023  0.1119  0.4421  0.6012  0.51
Michalowski 1933   52  0.2925  0.0036  0.0536  0.2148  0.0842  0.13
Milkina 1970   10  0.439  0.009  0.1412  0.527  0.656  0.58
Mohovich 1999   56  0.2745  0.0017  0.1230  0.2636  0.2332  0.24
Moravec 1969   43  0.3235  0.0044  0.0644  0.1333  0.2535  0.18
Morozova 2008   39  0.3365  0.0052  0.0656  0.0663  0.0568  0.05
Neighaus 1950   19  0.414  0.0127  0.0922  0.3641  0.1633  0.24
Niedzielski 1931   59  0.2660  0.0057  0.0648  0.0646  0.0759  0.06
Ohlsson 1999   40  0.3377  0.0045  0.0743  0.1359  0.0555  0.08
Osinska 1989   58  0.2646  0.0064  0.0461  0.0452  0.0663  0.05
Pachmann 1927   86  0.1186  0.0083  0.0380  0.0375  0.0484  0.03
Paderewski 1930   54  0.2866  0.0035  0.0537  0.2042  0.2334  0.21
Perlemuter 1992   82  0.1487  0.0086  0.0384  0.0382  0.0379  0.03
Pierdomenico 2008   42  0.3267  0.0048  0.0652  0.0629  0.3041  0.13
Poblocka 1999   68  0.2138  0.0060  0.0559  0.0570  0.0472  0.04
Rabcewiczowa 1932   30  0.3688  0.0039  0.0738  0.1923  0.5925  0.33
Rachmaninoff 1923   55  0.2824  0.0059  0.0463  0.0469  0.0382  0.03
Rangell 2001   79  0.1589  0.0082  0.0383  0.0381  0.0387  0.03
Richter 1976   49  0.3052  0.0065  0.0557  0.0568  0.0566  0.05
Rosen 1989   45  0.3122  0.0049  0.0649  0.0674  0.0377  0.04
Rosenthal 1930   31  0.3648  0.0028  0.0826  0.2925  0.4323  0.35
Rosenthal 1931   77  0.1678  0.0071  0.0473  0.0445  0.1556  0.08
Rosenthal 1931b   76  0.1790  0.0074  0.0378  0.0343  0.1558  0.07
Rosenthal 1931c   63  0.2443  0.0066  0.0654  0.0646  0.0662  0.06
Rosenthal 1931d   75  0.1719  0.0068  0.0467  0.0437  0.2950  0.11
Rossi 2007   90  -0.0591  0.0091  0.0191  0.0188  0.0191  0.01
Rubinstein 1939   12  0.4336  0.008  0.1324  0.3417  0.3722  0.35
Rubinstein 1952   15  0.4247  0.007  0.116  0.605  0.684  0.64
Rubinstein 1966   13  0.4339  0.0016  0.1213  0.5118  0.4318  0.47
Schilhawsky 1960   74  0.1932  0.0077  0.0386  0.0347  0.0674  0.04
Shebanova 2002   41  0.3353  0.0038  0.0639  0.1761  0.0749  0.11
Smith 1975   22  0.4026  0.0029  0.1027  0.2919  0.5021  0.38
Sokolov 2002   23  0.4014  0.0032  0.0532  0.2419  0.4428  0.32
Sztompka 1959   48  0.3029  0.0042  0.0641  0.1459  0.0652  0.09
Tomsic 1995   14  0.438  0.0014  0.1110  0.535  0.5910  0.56
Uninsky 1932   24  0.3927  0.0034  0.0531  0.2451  0.0743  0.13
Uninsky 1971   4  0.4968  0.005  0.237  0.5710  0.5211  0.54
Wasowski 1980   16  0.4118  0.0025  0.1116  0.4535  0.4120  0.43
Zak 1937   62  0.2469  0.0073  0.0462  0.0455  0.0665  0.05
Zak 1951   64  0.2479  0.0072  0.0379  0.0377  0.0383  0.03
Average   3  0.5721  0.004  0.403  0.8040  0.1329  0.32
Random 1   89  0.0037  0.0089  0.0287  0.0254  0.0486  0.03
Random 2   87  0.1161  0.0084  0.0385  0.0312  0.4647  0.12
Random 3   91  -0.0670  0.0090  0.0190  0.0153  0.0489  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).