Falvay 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   45  0.5055  0.0052  0.0562  0.0577  0.0360  0.04
Anderszewski 2003   40  0.5227  0.0049  0.0948  0.0985  0.0352  0.05
Ashkenazy 1981   62  0.4260  0.0064  0.0751  0.0766  0.0454  0.05
Bacha 2000   29  0.5726  0.0030  0.0729  0.4279  0.0335  0.11
Badura 1965   74  0.3039  0.0076  0.0286  0.0281  0.0385  0.02
Barbosa 1983   43  0.5156  0.0027  0.0835  0.3343  0.0826  0.16
Biret 1990   22  0.6164  0.0031  0.0931  0.4185  0.0338  0.11
Blet 2003   57  0.4585  0.0057  0.0563  0.0585  0.0358  0.04
Block 1995   48  0.4737  0.0037  0.0843  0.1975  0.0346  0.08
Blumental 1952   14  0.6412  0.029  0.1114  0.5149  0.0527  0.16
Boshniakovich 1969   68  0.3669  0.0069  0.0566  0.0586  0.0274  0.03
Brailowsky 1960   7  0.6729  0.0016  0.1015  0.5129  0.2415  0.35
Bunin 1987   84  0.2070  0.0084  0.0373  0.0384  0.0286  0.02
Bunin 1987b   86  0.1882  0.0083  0.0288  0.0282  0.0275  0.02
Chiu 1999   21  0.6235  0.0029  0.0930  0.4142  0.1419  0.24
Cohen 1997   32  0.5547  0.0021  0.0926  0.437  0.468  0.44
Cortot 1951   67  0.3686  0.0071  0.0752  0.0786  0.0265  0.04
Csalog 1996   28  0.573  0.068  0.113  0.565  0.473  0.51
Czerny 1949   79  0.2983  0.0074  0.0278  0.0279  0.0383  0.02
Czerny 1990   13  0.6424  0.0018  0.0919  0.4749  0.0430  0.14
Duchoud 2007   73  0.3271  0.0068  0.0658  0.0680  0.0362  0.04
Ezaki 2006   24  0.5922  0.0041  0.0838  0.2585  0.0340  0.09
Falvay 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Farrell 1958   4  0.6813  0.015  0.144  0.5632  0.2613  0.38
Ferenczy 1958   47  0.4853  0.0055  0.0470  0.0481  0.0373  0.03
Fliere 1977   60  0.4436  0.0058  0.0655  0.0668  0.0449  0.05
Fou 1978   16  0.6418  0.0132  0.1020  0.4678  0.0332  0.12
Francois 1956   9  0.6511  0.0211  0.088  0.5331  0.2217  0.34
Friedman 1923   75  0.3050  0.0082  0.0280  0.0282  0.0389  0.02
Friedman 1923b   80  0.2917  0.0181  0.0284  0.0283  0.0387  0.02
Friedman 1930   70  0.3477  0.0080  0.0377  0.0378  0.0371  0.03
Garcia 2007   49  0.4658  0.0056  0.0564  0.0563  0.0463  0.04
Garcia 2007b   59  0.4433  0.0062  0.0467  0.0471  0.0467  0.04
Gierzod 1998   53  0.4559  0.0059  0.0659  0.0675  0.0361  0.04
Gornostaeva 1994   30  0.5716  0.0138  0.0937  0.3074  0.0343  0.09
Groot 1988   18  0.6328  0.0014  0.086  0.5433  0.2514  0.37
Harasiewicz 1955   50  0.4631  0.0065  0.0561  0.0582  0.0366  0.04
Hatto 1993   81  0.2773  0.0075  0.0279  0.0283  0.0388  0.02
Hatto 1997   77  0.3078  0.0079  0.0372  0.0384  0.0372  0.03
Horowitz 1949   82  0.2687  0.0086  0.0287  0.0286  0.0276  0.02
Indjic 1988   78  0.3041  0.0078  0.0282  0.0283  0.0380  0.02
Kapell 1951   54  0.4572  0.0046  0.0949  0.0987  0.0256  0.04
Kissin 1993   34  0.547  0.0339  0.0841  0.2282  0.0345  0.08
Kushner 1989   12  0.645  0.0419  0.0810  0.5258  0.0524  0.16
Luisada 1991   37  0.5374  0.0042  0.0842  0.2173  0.0441  0.09
Lushtak 2004   17  0.636  0.0320  0.1017  0.4948  0.0623  0.17
Malcuzynski 1961   71  0.3451  0.0066  0.0656  0.0683  0.0357  0.04
Magaloff 1978   2  0.7040  0.006  0.167  0.547  0.436  0.48
Magin 1975   63  0.4254  0.0051  0.0850  0.0865  0.0448  0.06
Michalowski 1933   76  0.3067  0.0073  0.0375  0.0385  0.0278  0.02
Milkina 1970   11  0.6434  0.0015  0.0912  0.5280  0.0333  0.12
Mohovich 1999   3  0.6845  0.0012  0.105  0.5458  0.0622  0.18
Moravec 1969   10  0.6449  0.0010  0.0911  0.5216  0.474  0.49
Morozova 2008   58  0.4561  0.0053  0.0560  0.0583  0.0359  0.04
Neighaus 1950   66  0.3868  0.0070  0.0565  0.0576  0.0464  0.04
Niedzielski 1931   65  0.3965  0.0054  0.0471  0.0475  0.0368  0.03
Ohlsson 1999   64  0.3930  0.0060  0.0469  0.0481  0.0370  0.03
Osinska 1989   19  0.6223  0.0034  0.1225  0.4381  0.0336  0.11
Pachmann 1927   31  0.5748  0.0044  0.0844  0.1634  0.1625  0.16
Paderewski 1930   27  0.5779  0.0035  0.0933  0.3779  0.0337  0.11
Perlemuter 1992   20  0.629  0.0236  0.0934  0.3657  0.0431  0.12
Pierdomenico 2008   33  0.554  0.043  0.1016  0.507  0.467  0.48
Poblocka 1999   69  0.3519  0.0167  0.0754  0.0783  0.0350  0.05
Rabcewiczowa 1932   5  0.6814  0.017  0.1718  0.4724  0.2616  0.35
Rachmaninoff 1923   35  0.5462  0.0043  0.1140  0.2566  0.0439  0.10
Rangell 2001   56  0.4520  0.0113  0.0836  0.3241  0.1421  0.21
Richter 1976   87  0.1132  0.0088  0.0283  0.0286  0.0277  0.02
Rosen 1989   25  0.5943  0.0033  0.1123  0.4454  0.0528  0.15
Rosenthal 1930   52  0.4580  0.0040  0.0839  0.2567  0.0342  0.09
Rosenthal 1931   39  0.5281  0.0025  0.1324  0.4319  0.3811  0.40
Rosenthal 1931b   38  0.5363  0.0023  0.1222  0.4417  0.4110  0.42
Rosenthal 1931c   44  0.5042  0.0022  0.1128  0.4217  0.3712  0.39
Rosenthal 1931d   36  0.5476  0.0024  0.1021  0.4414  0.409  0.42
Rossi 2007   8  0.6610  0.024  0.119  0.5311  0.465  0.49
Rubinstein 1939   26  0.5857  0.0028  0.1032  0.3937  0.1520  0.24
Rubinstein 1952   6  0.671  0.261  0.262  0.607  0.522  0.56
Rubinstein 1966   23  0.6015  0.0126  0.1127  0.4240  0.1918  0.28
Schilhawsky 1960   83  0.2288  0.0085  0.0376  0.0387  0.0281  0.02
Shebanova 2002   42  0.5125  0.0050  0.1047  0.1078  0.0353  0.05
Smith 1975   15  0.6446  0.0017  0.0813  0.5252  0.0429  0.14
Sokolov 2002   61  0.438  0.0345  0.0753  0.0757  0.0451  0.05
Sztompka 1959   51  0.4652  0.0061  0.0468  0.0476  0.0369  0.03
Tomsic 1995   1  0.732  0.262  0.351  0.641  0.671  0.65
Uninsky 1932   72  0.3289  0.0077  0.0285  0.0286  0.0382  0.02
Uninsky 1971   85  0.2066  0.0087  0.0281  0.0287  0.0279  0.02
Wasowski 1980   55  0.4521  0.0163  0.0657  0.0684  0.0355  0.04
Zak 1937   41  0.5138  0.0047  0.1246  0.1254  0.0447  0.07
Zak 1951   46  0.4944  0.0048  0.1345  0.1357  0.0544  0.08
Random 1   90  -0.2984  0.0090  0.0190  0.0176  0.0290  0.01
Random 2   89  -0.2190  0.0089  0.0189  0.0155  0.0484  0.02
Random 3   88  -0.0475  0.0072  0.0374  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).