Horowitz 1949

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   27  0.6038  0.0032  0.1133  0.3254  0.0436  0.11
Anderszewski 2003   47  0.5319  0.0140  0.0740  0.1771  0.0343  0.07
Ashkenazy 1981   20  0.6129  0.0022  0.1115  0.4855  0.0432  0.14
Bacha 2000   71  0.4585  0.0065  0.0373  0.0375  0.0469  0.03
Badura 1965   44  0.5446  0.0044  0.0544  0.0964  0.0448  0.06
Barbosa 1983   83  0.3657  0.0079  0.0284  0.0276  0.0475  0.03
Biret 1990   45  0.5450  0.0056  0.0549  0.0572  0.0465  0.04
Blet 2003   67  0.4766  0.0076  0.0466  0.0477  0.0378  0.03
Block 1995   38  0.5723  0.0036  0.0837  0.3024  0.2917  0.29
Blumental 1952   78  0.4155  0.0073  0.0379  0.0379  0.0288  0.02
Boshniakovich 1969   5  0.6920  0.0011  0.204  0.636  0.572  0.60
Brailowsky 1960   30  0.5924  0.0035  0.0825  0.3838  0.2216  0.29
Bunin 1987   21  0.6140  0.0025  0.0724  0.3920  0.3913  0.39
Bunin 1987b   22  0.6159  0.0024  0.0823  0.4021  0.4011  0.40
Chiu 1999   49  0.5230  0.0039  0.0939  0.1854  0.0439  0.08
Cohen 1997   88  0.1591  0.0088  0.0371  0.0386  0.0289  0.02
Cortot 1951   37  0.5782  0.0045  0.0445  0.0867  0.0449  0.06
Csalog 1996   86  0.3576  0.0086  0.0460  0.0484  0.0377  0.03
Czerny 1949   16  0.6314  0.0216  0.0914  0.5044  0.0826  0.20
Czerny 1990   34  0.5779  0.0050  0.0465  0.0480  0.0383  0.03
Duchoud 2007   54  0.5032  0.0057  0.0646  0.0674  0.0360  0.04
Ezaki 2006   19  0.6142  0.0031  0.0934  0.3283  0.0337  0.10
Falvay 1989   68  0.4677  0.0080  0.0285  0.0252  0.0672  0.03
Farrell 1958   42  0.5554  0.0047  0.0547  0.0569  0.0455  0.04
Ferenczy 1958   76  0.4272  0.0084  0.0375  0.0374  0.0379  0.03
Fliere 1977   6  0.6928  0.009  0.1511  0.5846  0.0725  0.20
Fou 1978   26  0.6043  0.0028  0.0827  0.3844  0.0927  0.18
Francois 1956   61  0.4988  0.0069  0.0367  0.0365  0.0485  0.03
Friedman 1923   85  0.3589  0.0075  0.0372  0.0346  0.0852  0.05
Friedman 1923b   84  0.3568  0.0070  0.0370  0.0346  0.0851  0.05
Friedman 1930   70  0.4633  0.0060  0.0552  0.0546  0.0846  0.06
Garcia 2007   59  0.4978  0.0054  0.0458  0.0444  0.1047  0.06
Garcia 2007b   80  0.4064  0.0059  0.0457  0.0472  0.0468  0.04
Gierzod 1998   17  0.6235  0.0021  0.0819  0.4446  0.0630  0.16
Gornostaeva 1994   46  0.5487  0.0064  0.0461  0.0470  0.0382  0.03
Groot 1988   11  0.6627  0.0012  0.1017  0.4626  0.4010  0.43
Harasiewicz 1955   13  0.655  0.074  0.166  0.6025  0.359  0.46
Hatto 1993   65  0.477  0.0518  0.0831  0.3328  0.2020  0.26
Hatto 1997   56  0.5045  0.0020  0.0836  0.3135  0.1424  0.21
Horowitz 1949   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Indjic 1988   60  0.4963  0.0019  0.0832  0.3231  0.1921  0.25
Kapell 1951   43  0.5567  0.0048  0.0456  0.0470  0.0456  0.04
Kissin 1993   14  0.6511  0.0214  0.1413  0.5131  0.1915  0.31
Kushner 1989   39  0.5684  0.0053  0.0459  0.0486  0.0374  0.03
Luisada 1991   40  0.5658  0.0043  0.0542  0.1058  0.0444  0.06
Lushtak 2004   53  0.5086  0.0051  0.0374  0.0381  0.0381  0.03
Malcuzynski 1961   8  0.689  0.0410  0.2010  0.5812  0.436  0.50
Magaloff 1978   36  0.5741  0.0046  0.0455  0.0449  0.0750  0.05
Magin 1975   23  0.6056  0.0015  0.0916  0.4835  0.1618  0.28
Michalowski 1933   73  0.4348  0.0042  0.0543  0.1074  0.0445  0.06
Milkina 1970   15  0.6426  0.0017  0.1018  0.4542  0.1222  0.23
Mohovich 1999   18  0.6147  0.0030  0.0930  0.3547  0.0731  0.16
Moravec 1969   63  0.4836  0.0072  0.0383  0.0374  0.0370  0.03
Morozova 2008   29  0.5918  0.0129  0.0926  0.3849  0.0434  0.12
Neighaus 1950   4  0.7015  0.026  0.138  0.5930  0.2712  0.40
Niedzielski 1931   41  0.5617  0.0123  0.0728  0.3718  0.3514  0.36
Ohlsson 1999   35  0.5771  0.0037  0.0935  0.3274  0.0435  0.11
Osinska 1989   24  0.6021  0.0041  0.0641  0.1469  0.0440  0.07
Pachmann 1927   57  0.4916  0.0163  0.0554  0.0540  0.1142  0.07
Paderewski 1930   69  0.4625  0.0081  0.0289  0.0276  0.0387  0.02
Perlemuter 1992   33  0.5851  0.0038  0.0738  0.2069  0.0438  0.09
Pierdomenico 2008   52  0.5134  0.0049  0.0462  0.0441  0.1441  0.07
Poblocka 1999   31  0.5937  0.0026  0.0821  0.4151  0.0628  0.16
Rabcewiczowa 1932   75  0.428  0.0483  0.0382  0.0379  0.0373  0.03
Rachmaninoff 1923   12  0.666  0.058  0.127  0.6015  0.398  0.48
Rangell 2001   62  0.4890  0.0052  0.0464  0.0451  0.0564  0.04
Richter 1976   10  0.674  0.093  0.189  0.594  0.583  0.58
Rosen 1989   51  0.5249  0.0061  0.0550  0.0564  0.0462  0.04
Rosenthal 1930   55  0.5039  0.0058  0.0548  0.0562  0.0461  0.04
Rosenthal 1931   79  0.4174  0.0074  0.0377  0.0352  0.0476  0.03
Rosenthal 1931b   74  0.4353  0.0068  0.0378  0.0351  0.0567  0.04
Rosenthal 1931c   77  0.4275  0.0078  0.0286  0.0278  0.0390  0.02
Rosenthal 1931d   72  0.4480  0.0071  0.0369  0.0351  0.0566  0.04
Rossi 2007   87  0.2460  0.0087  0.0381  0.0376  0.0471  0.03
Rubinstein 1939   82  0.3870  0.0085  0.0463  0.0458  0.0554  0.04
Rubinstein 1952   81  0.3981  0.0082  0.0287  0.0259  0.0584  0.03
Rubinstein 1966   66  0.4773  0.0077  0.0376  0.0354  0.0559  0.04
Schilhawsky 1960   7  0.693  0.125  0.163  0.6410  0.504  0.57
Shebanova 2002   28  0.6013  0.0234  0.1520  0.4361  0.0433  0.13
Smith 1975   58  0.4983  0.0066  0.0380  0.0388  0.0286  0.02
Sokolov 2002   50  0.5261  0.0055  0.0553  0.0578  0.0353  0.04
Sztompka 1959   48  0.5344  0.0062  0.0551  0.0580  0.0458  0.04
Tomsic 1995   64  0.4862  0.0067  0.0368  0.0355  0.0557  0.04
Uninsky 1932   25  0.6012  0.0233  0.1029  0.3536  0.2119  0.27
Uninsky 1971   32  0.5831  0.0027  0.0922  0.4045  0.1123  0.21
Wasowski 1980   9  0.6810  0.0213  0.1212  0.544  0.447  0.49
Zak 1937   2  0.731  0.191  0.191  0.676  0.571  0.62
Zak 1951   3  0.722  0.152  0.322  0.659  0.495  0.56
Average   1  0.7322  0.007  0.165  0.6256  0.0429  0.16
Random 1   91  -0.1352  0.0090  0.0190  0.0142  0.1463  0.04
Random 2   89  -0.0569  0.0089  0.0288  0.0246  0.0580  0.03
Random 3   90  -0.0965  0.0091  0.0191  0.0183  0.0291  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).