Falvay 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   8  0.647  0.0411  0.2011  0.4120  0.3712  0.39
Anderszewski 2003   77  0.3677  0.0058  0.0467  0.0443  0.1159  0.07
Ashkenazy 1981   31  0.5418  0.0118  0.0521  0.2931  0.2528  0.27
Bacha 2000   26  0.5641  0.0046  0.0558  0.058  0.5637  0.17
Badura 1965   66  0.4215  0.0163  0.0468  0.0451  0.0578  0.04
Barbosa 1983   56  0.4758  0.0052  0.0550  0.0540  0.2251  0.10
Biret 1990   43  0.5212  0.0129  0.0628  0.2127  0.3629  0.27
Blet 2003   48  0.4868  0.0077  0.0557  0.0554  0.0567  0.05
Block 1995   49  0.4886  0.0067  0.0378  0.0347  0.0486  0.03
Blumental 1952   79  0.3574  0.0074  0.0381  0.0376  0.0387  0.03
Boshniakovich 1969   52  0.4850  0.0070  0.0460  0.0447  0.0579  0.04
Brailowsky 1960   22  0.5833  0.0034  0.0534  0.184  0.5319  0.31
Bunin 1987   50  0.4829  0.0061  0.0465  0.0461  0.0480  0.04
Bunin 1987b   51  0.4828  0.0062  0.0551  0.0558  0.0473  0.04
Chiu 1999   37  0.5351  0.0031  0.0530  0.2021  0.4323  0.29
Cohen 1997   61  0.4448  0.0049  0.0553  0.059  0.4942  0.16
Cortot 1951   70  0.4044  0.0081  0.0555  0.0553  0.0571  0.05
Csalog 1996   35  0.5319  0.0151  0.0556  0.059  0.5341  0.16
Czerny 1949   29  0.5536  0.0039  0.0637  0.1423  0.4032  0.24
Czerny 1990   20  0.5878  0.0033  0.0833  0.1959  0.0555  0.10
Duchoud 2007   57  0.4714  0.0156  0.0464  0.0447  0.0669  0.05
Ezaki 2006   13  0.6134  0.0023  0.0715  0.3530  0.2717  0.31
Falvay 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Farrell 1958   42  0.5255  0.0053  0.0647  0.066  0.4938  0.17
Ferenczy 1958   54  0.4827  0.0072  0.0471  0.0429  0.2353  0.10
Fliere 1977   30  0.5580  0.0037  0.0538  0.1443  0.1047  0.12
Fou 1978   3  0.712  0.122  0.202  0.704  0.583  0.64
Francois 1956   9  0.645  0.056  0.205  0.553  0.636  0.59
Friedman 1923   89  -0.0487  0.0090  0.0190  0.0181  0.0390  0.02
Friedman 1923b   88  -0.0369  0.0089  0.0286  0.0279  0.0389  0.02
Friedman 1930   85  0.1488  0.0085  0.0377  0.0356  0.0484  0.03
Garcia 2007   82  0.2046  0.0082  0.0385  0.0361  0.0485  0.03
Garcia 2007b   84  0.1749  0.0084  0.0470  0.0431  0.2558  0.10
Gierzod 1998   45  0.5145  0.0019  0.0632  0.2018  0.3230  0.25
Gornostaeva 1994   21  0.5853  0.0020  0.0526  0.2328  0.2633  0.24
Groot 1988   2  0.714  0.054  0.194  0.641  0.634  0.63
Harasiewicz 1955   40  0.5222  0.0022  0.0519  0.3234  0.2031  0.25
Hatto 1993   80  0.3356  0.0057  0.0548  0.0548  0.0570  0.05
Hatto 1997   68  0.4111  0.0128  0.0636  0.1438  0.1244  0.13
Horowitz 1949   33  0.5457  0.0012  0.1024  0.2515  0.3722  0.30
Indjic 1988   78  0.3637  0.0050  0.0552  0.0565  0.0476  0.04
Kapell 1951   44  0.5130  0.0055  0.0549  0.0565  0.0472  0.04
Kissin 1993   5  0.699  0.035  0.216  0.558  0.567  0.55
Kushner 1989   14  0.6038  0.0035  0.0629  0.2119  0.3626  0.27
Luisada 1991   36  0.5331  0.0013  0.0720  0.2922  0.3418  0.31
Lushtak 2004   28  0.5660  0.0026  0.0616  0.3423  0.3615  0.35
Malcuzynski 1961   15  0.6065  0.0024  0.0823  0.2738  0.1934  0.23
Magaloff 1978   17  0.596  0.047  0.168  0.4911  0.4010  0.44
Magin 1975   60  0.4471  0.0060  0.0559  0.0545  0.0665  0.05
Michalowski 1933   83  0.1826  0.0064  0.0472  0.0460  0.0475  0.04
Milkina 1970   4  0.701  0.421  0.411  0.751  0.721  0.73
Mohovich 1999   11  0.6181  0.0014  0.0617  0.3224  0.3120  0.31
Moravec 1969   16  0.6025  0.0025  0.0622  0.2814  0.4016  0.33
Morozova 2008   27  0.5617  0.0117  0.0612  0.4014  0.3713  0.38
Neighaus 1950   19  0.5842  0.0016  0.0613  0.3930  0.2521  0.31
Niedzielski 1931   76  0.3716  0.0175  0.0383  0.0342  0.0964  0.05
Ohlsson 1999   47  0.5182  0.0027  0.0531  0.2024  0.2635  0.23
Osinska 1989   25  0.5624  0.0032  0.0627  0.2216  0.3625  0.28
Pachmann 1927   46  0.5162  0.0047  0.0646  0.0620  0.4540  0.16
Paderewski 1930   64  0.4379  0.0078  0.0376  0.0377  0.0381  0.03
Perlemuter 1992   38  0.5372  0.0044  0.0443  0.0842  0.1250  0.10
Pierdomenico 2008   41  0.5220  0.0030  0.0525  0.246  0.5414  0.36
Poblocka 1999   23  0.5740  0.0045  0.0462  0.0424  0.2849  0.11
Rabcewiczowa 1932   65  0.4383  0.0071  0.0466  0.0448  0.0666  0.05
Rachmaninoff 1923   69  0.4184  0.0043  0.0445  0.0751  0.0561  0.06
Rangell 2001   53  0.4835  0.0041  0.0441  0.0936  0.1946  0.13
Richter 1976   32  0.5439  0.0036  0.0539  0.1230  0.2339  0.17
Rosen 1989   39  0.5332  0.0048  0.0744  0.0732  0.2445  0.13
Rosenthal 1930   67  0.4275  0.0069  0.0463  0.0437  0.2554  0.10
Rosenthal 1931   73  0.3870  0.0066  0.0382  0.0322  0.3652  0.10
Rosenthal 1931b   75  0.3866  0.0065  0.0380  0.0321  0.3556  0.10
Rosenthal 1931c   59  0.4576  0.0068  0.0474  0.0431  0.2557  0.10
Rosenthal 1931d   63  0.4385  0.0059  0.0461  0.0418  0.3648  0.12
Rossi 2007   81  0.2554  0.0083  0.0384  0.0344  0.0863  0.05
Rubinstein 1939   72  0.3913  0.0154  0.0554  0.057  0.4843  0.15
Rubinstein 1952   6  0.668  0.039  0.209  0.494  0.608  0.54
Rubinstein 1966   24  0.5652  0.0038  0.0635  0.1715  0.4327  0.27
Schilhawsky 1960   71  0.4063  0.0076  0.0379  0.0373  0.0383  0.03
Shebanova 2002   12  0.6143  0.0015  0.0614  0.3717  0.4311  0.40
Smith 1975   18  0.5947  0.0021  0.0618  0.3230  0.2624  0.29
Sokolov 2002   34  0.5361  0.0042  0.0442  0.0852  0.0560  0.06
Sztompka 1959   62  0.4489  0.0079  0.0469  0.0471  0.0474  0.04
Tomsic 1995   1  0.733  0.073  0.193  0.673  0.632  0.65
Uninsky 1932   74  0.3873  0.0080  0.0473  0.0476  0.0477  0.04
Uninsky 1971   58  0.4621  0.0073  0.0375  0.0367  0.0382  0.03
Wasowski 1980   55  0.4810  0.0140  0.0440  0.1019  0.3336  0.18
Zak 1937   10  0.6364  0.0010  0.1610  0.484  0.599  0.53
Zak 1951   7  0.6523  0.008  0.207  0.544  0.645  0.59
Random 1   87  -0.0290  0.0087  0.0287  0.0234  0.1662  0.06
Random 2   90  -0.0559  0.0086  0.0288  0.0241  0.1168  0.05
Random 3   86  -0.0167  0.0088  0.0289  0.0257  0.0388  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).