Afanassiev 2001

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Anderszewski 2003   74  0.3655  0.0065  0.0453  0.0483  0.0279  0.03
Ashkenazy 1981   67  0.4883  0.0054  0.0451  0.0449  0.0571  0.04
Bacha 2000   63  0.5130  0.0077  0.0377  0.0352  0.0564  0.04
Badura 1965   33  0.6542  0.0015  0.0811  0.371  0.635  0.48
Barbosa 1983   17  0.7110  0.0212  0.0910  0.397  0.498  0.44
Biret 1990   20  0.7022  0.0132  0.0727  0.2426  0.2530  0.24
Blet 2003   4  0.8029  0.007  0.106  0.435  0.526  0.47
Block 1995   64  0.5187  0.0079  0.0372  0.0370  0.0380  0.03
Blumental 1952   76  0.3369  0.0047  0.0450  0.0437  0.1255  0.07
Boshniakovich 1969   57  0.5575  0.0075  0.0376  0.0371  0.0381  0.03
Brailowsky 1960   59  0.5225  0.0080  0.0464  0.0466  0.0466  0.04
Bunin 1987   40  0.6320  0.0144  0.0541  0.1035  0.2144  0.14
Bunin 1987b   39  0.6376  0.0045  0.0942  0.0935  0.2140  0.14
Chiu 1999   60  0.5223  0.0150  0.0370  0.0341  0.1258  0.06
Cohen 1997   86  0.1550  0.0085  0.0285  0.0285  0.0286  0.02
Cortot 1951   36  0.6479  0.0042  0.0443  0.0928  0.2937  0.16
Csalog 1996   52  0.5838  0.0071  0.0371  0.0330  0.2749  0.09
Czerny 1949   6  0.786  0.044  0.272  0.544  0.592  0.56
Czerny 1990   1  0.832  0.162  0.253  0.543  0.523  0.53
Duchoud 2007   21  0.7017  0.0110  0.0716  0.3420  0.4114  0.37
Ezaki 2006   2  0.821  0.251  0.251  0.621  0.611  0.61
Falvay 1989   13  0.7418  0.0122  0.0625  0.2720  0.3123  0.29
Farrell 1958   54  0.5659  0.0076  0.0378  0.0382  0.0375  0.03
Ferenczy 1958   43  0.6270  0.0043  0.0445  0.0726  0.3042  0.14
Fliere 1977   11  0.7456  0.0024  0.0523  0.2744  0.1035  0.16
Fou 1978   47  0.5845  0.0048  0.0452  0.0445  0.0859  0.06
Francois 1956   3  0.813  0.093  0.194  0.513  0.564  0.53
Friedman 1923   85  0.1858  0.0067  0.0457  0.0421  0.3645  0.12
Friedman 1923b   84  0.1939  0.0066  0.0367  0.0320  0.3648  0.10
Friedman 1930   80  0.2684  0.0064  0.0462  0.0439  0.1252  0.07
Garcia 2007   78  0.2753  0.0082  0.0282  0.0283  0.0285  0.02
Garcia 2007b   87  0.0412  0.0287  0.0288  0.0282  0.0289  0.02
Gierzod 1998   45  0.6219  0.0133  0.0636  0.1339  0.1543  0.14
Gornostaeva 1994   12  0.7411  0.029  0.108  0.4013  0.3713  0.38
Groot 1988   7  0.785  0.0617  0.1017  0.3319  0.3618  0.34
Harasiewicz 1955   68  0.4766  0.0041  0.0444  0.0845  0.0561  0.06
Hatto 1993   83  0.2037  0.0062  0.0461  0.0446  0.0472  0.04
Hatto 1997   75  0.348  0.0246  0.0548  0.0538  0.1153  0.07
Horowitz 1949   69  0.4785  0.0074  0.0547  0.0553  0.0562  0.05
Indjic 1988   81  0.2568  0.0061  0.0373  0.0341  0.0963  0.05
Kapell 1951   24  0.7035  0.0039  0.0533  0.1728  0.3429  0.24
Kissin 1993   28  0.6762  0.0035  0.0434  0.1527  0.2534  0.19
Kushner 1989   14  0.7473  0.0011  0.0915  0.3415  0.3716  0.35
Luisada 1991   61  0.5260  0.0049  0.0458  0.0467  0.0465  0.04
Lushtak 2004   38  0.6371  0.0026  0.0622  0.2826  0.2228  0.25
Malcuzynski 1961   5  0.7821  0.018  0.095  0.4314  0.4210  0.42
Magaloff 1978   46  0.5949  0.0058  0.0466  0.0451  0.0467  0.04
Magin 1975   70  0.4077  0.0055  0.0460  0.0457  0.0469  0.04
Michalowski 1933   79  0.2743  0.0063  0.0465  0.0442  0.1351  0.07
Milkina 1970   29  0.6657  0.0051  0.0454  0.0460  0.0470  0.04
Mohovich 1999   10  0.7626  0.0018  0.0718  0.3220  0.3617  0.34
Moravec 1969   18  0.7163  0.0040  0.0538  0.1017  0.3633  0.19
Morozova 2008   37  0.637  0.036  0.0920  0.3010  0.2924  0.29
Neighaus 1950   23  0.7052  0.0014  0.0913  0.3524  0.3319  0.34
Niedzielski 1931   66  0.4986  0.0078  0.0368  0.0373  0.0283  0.02
Ohlsson 1999   32  0.6640  0.0037  0.0437  0.1128  0.2139  0.15
Osinska 1989   8  0.7761  0.0016  0.0814  0.355  0.4711  0.41
Pachmann 1927   65  0.5024  0.0172  0.0459  0.0427  0.2846  0.11
Paderewski 1930   58  0.5388  0.0073  0.0455  0.0456  0.0377  0.03
Perlemuter 1992   30  0.6628  0.0036  0.0535  0.1431  0.1936  0.16
Pierdomenico 2008   55  0.5580  0.0056  0.0463  0.0461  0.0468  0.04
Poblocka 1999   16  0.7227  0.0027  0.0729  0.2322  0.3225  0.27
Rabcewiczowa 1932   26  0.6836  0.0021  0.0621  0.288  0.4715  0.36
Rachmaninoff 1923   42  0.6234  0.0030  0.0632  0.1924  0.2631  0.22
Rangell 2001   48  0.5815  0.0157  0.0375  0.0343  0.1160  0.06
Richter 1976   53  0.5789  0.0069  0.0379  0.0360  0.0476  0.03
Rosen 1989   22  0.704  0.065  0.117  0.4211  0.479  0.44
Rosenthal 1930   56  0.5533  0.0060  0.0456  0.0436  0.1950  0.09
Rosenthal 1931   73  0.3672  0.0081  0.0374  0.0367  0.0378  0.03
Rosenthal 1931b   77  0.2974  0.0083  0.0284  0.0278  0.0388  0.02
Rosenthal 1931c   62  0.5182  0.0059  0.0369  0.0347  0.0673  0.04
Rosenthal 1931d   71  0.3767  0.0084  0.0283  0.0284  0.0287  0.02
Rossi 2007   72  0.3651  0.0034  0.0540  0.1020  0.2238  0.15
Rubinstein 1939   82  0.2414  0.0288  0.0289  0.0273  0.0382  0.02
Rubinstein 1952   50  0.589  0.0270  0.0380  0.0353  0.0674  0.04
Rubinstein 1966   34  0.6541  0.0053  0.0646  0.0626  0.3141  0.14
Schilhawsky 1960   51  0.5854  0.0038  0.0439  0.1043  0.1047  0.10
Shebanova 2002   41  0.6364  0.0052  0.0549  0.0541  0.1154  0.07
Smith 1975   27  0.6844  0.0023  0.0519  0.3040  0.1332  0.20
Sokolov 2002   19  0.7065  0.0031  0.0628  0.2329  0.2927  0.26
Sztompka 1959   15  0.7246  0.0020  0.0612  0.3717  0.3912  0.38
Tomsic 1995   9  0.7748  0.0013  0.079  0.4011  0.487  0.44
Uninsky 1932   44  0.6216  0.0129  0.0831  0.2117  0.4322  0.30
Uninsky 1971   25  0.6813  0.0219  0.0724  0.2720  0.4120  0.33
Wasowski 1980   49  0.5847  0.0068  0.0381  0.0336  0.1257  0.06
Zak 1937   35  0.6532  0.0028  0.0630  0.2217  0.3326  0.27
Zak 1951   31  0.6631  0.0025  0.0626  0.2619  0.3621  0.31
Random 1   90  -0.1678  0.0090  0.0190  0.0183  0.0290  0.01
Random 2   89  -0.1590  0.0089  0.0287  0.0281  0.0284  0.02
Random 3   88  0.0181  0.0086  0.0286  0.0225  0.2356  0.07

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).