Falvay 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   46  0.5056  0.0053  0.0563  0.0578  0.0360  0.04
Anderszewski 2003   41  0.5228  0.0050  0.0949  0.0986  0.0352  0.05
Ashkenazy 1981   63  0.4260  0.0065  0.0752  0.0767  0.0454  0.05
Bacha 2000   30  0.5727  0.0030  0.0729  0.4280  0.0335  0.11
Badura 1965   75  0.3039  0.0077  0.0287  0.0282  0.0386  0.02
Barbosa 1983   44  0.5157  0.0027  0.0836  0.3344  0.0826  0.16
Biret 1990   23  0.6165  0.0031  0.0931  0.4186  0.0339  0.11
Blet 2003   58  0.4585  0.0058  0.0564  0.0586  0.0271  0.03
Block 1995   49  0.4736  0.0036  0.0844  0.1976  0.0346  0.08
Blumental 1952   14  0.6412  0.029  0.1114  0.5150  0.0527  0.16
Boshniakovich 1969   69  0.3669  0.0070  0.0567  0.0587  0.0274  0.03
Brailowsky 1960   7  0.6730  0.0015  0.0915  0.5130  0.2415  0.35
Bunin 1987   85  0.2070  0.0085  0.0374  0.0385  0.0287  0.02
Bunin 1987b   87  0.1882  0.0084  0.0289  0.0283  0.0275  0.02
Chiu 1999   22  0.6234  0.0029  0.1030  0.4143  0.1419  0.24
Cohen 1997   33  0.5548  0.0021  0.0926  0.437  0.468  0.44
Cortot 1951   68  0.3686  0.0072  0.0753  0.0787  0.0265  0.04
Csalog 1996   29  0.573  0.068  0.113  0.565  0.473  0.51
Czerny 1949   80  0.2983  0.0075  0.0279  0.0280  0.0384  0.02
Czerny 1990   13  0.6425  0.0018  0.0919  0.4750  0.0430  0.14
Duchoud 2007   74  0.3271  0.0069  0.0659  0.0681  0.0362  0.04
Ezaki 2006   25  0.5923  0.0042  0.0839  0.2586  0.0341  0.09
Falvay 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Farrell 1958   4  0.6814  0.015  0.144  0.5633  0.2613  0.38
Ferenczy 1958   48  0.4853  0.0056  0.0471  0.0482  0.0373  0.03
Fliere 1977   61  0.4437  0.0059  0.0656  0.0669  0.0450  0.05
Fou 1978   16  0.6417  0.0132  0.1020  0.4679  0.0332  0.12
Francois 1956   9  0.6511  0.0211  0.088  0.5332  0.2217  0.34
Friedman 1923   76  0.3050  0.0083  0.0281  0.0283  0.0390  0.02
Friedman 1923b   81  0.2918  0.0182  0.0285  0.0284  0.0388  0.02
Friedman 1930   71  0.3487  0.0081  0.0278  0.0279  0.0382  0.02
Garcia 2007   50  0.4662  0.0057  0.0565  0.0564  0.0463  0.04
Garcia 2007b   60  0.4435  0.0063  0.0468  0.0472  0.0467  0.04
Gierzod 1998   54  0.4559  0.0060  0.0660  0.0676  0.0361  0.04
Gornostaeva 1994   31  0.5716  0.0137  0.0738  0.3075  0.0344  0.09
Groot 1988   18  0.6329  0.0014  0.086  0.5434  0.2514  0.37
Harasiewicz 1955   51  0.4632  0.0066  0.0562  0.0583  0.0366  0.04
Hatto 1993   82  0.2773  0.0076  0.0280  0.0284  0.0389  0.02
Hatto 1997   78  0.3078  0.0080  0.0373  0.0385  0.0372  0.03
Horowitz 1949   83  0.2688  0.0087  0.0288  0.0287  0.0276  0.02
Indjic 1988   79  0.3042  0.0079  0.0283  0.0284  0.0380  0.02
Kapell 1951   55  0.4572  0.0047  0.0950  0.0988  0.0257  0.04
Kissin 1993   35  0.547  0.0340  0.0842  0.2283  0.0345  0.08
Kushner 1989   12  0.645  0.0319  0.0810  0.5259  0.0524  0.16
Luisada 1991   38  0.5376  0.0043  0.0843  0.2174  0.0442  0.09
Lushtak 2004   17  0.636  0.0320  0.1017  0.4949  0.0623  0.17
Malcuzynski 1961   72  0.3451  0.0067  0.0657  0.0684  0.0358  0.04
Magaloff 1978   2  0.7040  0.006  0.167  0.548  0.436  0.48
Magin 1975   64  0.4254  0.0052  0.0851  0.0866  0.0449  0.06
Michalowski 1933   77  0.3067  0.0074  0.0376  0.0386  0.0278  0.02
Milkina 1970   11  0.6441  0.0016  0.0912  0.5281  0.0333  0.12
Mohovich 1999   3  0.6846  0.0012  0.105  0.5459  0.0622  0.18
Moravec 1969   10  0.6449  0.0010  0.0911  0.5216  0.474  0.49
Morozova 2008   59  0.4561  0.0054  0.0561  0.0584  0.0359  0.04
Neighaus 1950   67  0.3874  0.0071  0.0566  0.0577  0.0464  0.04
Niedzielski 1931   66  0.3966  0.0055  0.0472  0.0476  0.0368  0.03
Ohlsson 1999   65  0.3931  0.0061  0.0470  0.0482  0.0370  0.03
Osinska 1989   20  0.6224  0.0034  0.1125  0.4382  0.0336  0.11
Pachmann 1927   32  0.5755  0.0045  0.0845  0.1635  0.1625  0.16
Paderewski 1930   28  0.5779  0.0035  0.0833  0.3780  0.0337  0.11
Perlemuter 1992   21  0.629  0.0239  0.1135  0.3658  0.0431  0.12
Pierdomenico 2008   34  0.554  0.043  0.1016  0.507  0.467  0.48
Poblocka 1999   70  0.3519  0.0168  0.0655  0.0684  0.0356  0.04
Rabcewiczowa 1932   5  0.6813  0.017  0.1718  0.4725  0.2616  0.35
Rachmaninoff 1923   36  0.5463  0.0044  0.1141  0.2567  0.0440  0.10
Rangell 2001   57  0.4521  0.0113  0.0837  0.3242  0.1421  0.21
Richter 1976   88  0.1133  0.0089  0.0284  0.0287  0.0277  0.02
Rosen 1989   26  0.5944  0.0033  0.1123  0.4455  0.0528  0.15
Rosenthal 1930   53  0.4580  0.0041  0.0840  0.2568  0.0343  0.09
Rosenthal 1931   40  0.5281  0.0025  0.1324  0.4320  0.3811  0.40
Rosenthal 1931b   39  0.5364  0.0023  0.1222  0.4418  0.4110  0.42
Rosenthal 1931c   45  0.5043  0.0022  0.1128  0.4218  0.3712  0.39
Rosenthal 1931d   37  0.5477  0.0024  0.1021  0.4415  0.409  0.42
Rossi 2007   8  0.6610  0.024  0.119  0.5311  0.465  0.49
Rubinstein 1939   27  0.5858  0.0028  0.1032  0.3938  0.1520  0.24
Rubinstein 1952   6  0.671  0.261  0.262  0.607  0.522  0.56
Rubinstein 1966   24  0.6015  0.0126  0.1127  0.4241  0.1918  0.28
Schilhawsky 1960   84  0.2289  0.0086  0.0377  0.0388  0.0281  0.02
Shebanova 2002   43  0.5126  0.0051  0.1048  0.1079  0.0353  0.05
Smith 1975   15  0.6447  0.0017  0.0813  0.5253  0.0429  0.14
Sokolov 2002   62  0.438  0.0346  0.0754  0.0758  0.0351  0.05
Sztompka 1959   52  0.4652  0.0062  0.0469  0.0477  0.0369  0.03
Tomsic 1995   1  0.732  0.262  0.351  0.641  0.671  0.65
Uninsky 1932   73  0.3290  0.0078  0.0286  0.0287  0.0383  0.02
Uninsky 1971   86  0.2068  0.0088  0.0282  0.0288  0.0279  0.02
Wasowski 1980   56  0.4522  0.0164  0.0658  0.0685  0.0355  0.04
Zak 1937   42  0.5138  0.0048  0.1247  0.1255  0.0447  0.07
Zak 1951   47  0.4945  0.0049  0.1346  0.1358  0.0448  0.07
Average   19  0.6320  0.0138  0.0834  0.3777  0.0338  0.11
Random 1   91  -0.2984  0.0091  0.0191  0.0178  0.0291  0.01
Random 2   90  -0.2191  0.0090  0.0190  0.0156  0.0385  0.02
Random 3   89  -0.0475  0.0073  0.0375  0.0312  0.4634  0.12

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).