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   75  0.3657  0.0066  0.0454  0.0484  0.0280  0.03
Ashkenazy 1981   68  0.4884  0.0055  0.0452  0.0450  0.0571  0.04
Bacha 2000   64  0.5130  0.0078  0.0378  0.0353  0.0565  0.04
Badura 1965   34  0.6543  0.0016  0.0812  0.371  0.635  0.48
Barbosa 1983   18  0.7110  0.0213  0.0911  0.398  0.498  0.44
Biret 1990   21  0.7021  0.0133  0.0728  0.2427  0.2531  0.24
Blet 2003   5  0.8029  0.008  0.107  0.436  0.526  0.47
Block 1995   65  0.5188  0.0080  0.0373  0.0371  0.0381  0.03
Blumental 1952   77  0.3370  0.0048  0.0451  0.0438  0.1255  0.07
Boshniakovich 1969   58  0.5576  0.0076  0.0377  0.0372  0.0382  0.03
Brailowsky 1960   60  0.5225  0.0081  0.0465  0.0467  0.0467  0.04
Bunin 1987   41  0.6320  0.0145  0.0542  0.1036  0.2145  0.14
Bunin 1987b   40  0.6379  0.0046  0.0943  0.0936  0.2141  0.14
Chiu 1999   61  0.5223  0.0151  0.0371  0.0342  0.1258  0.06
Cohen 1997   87  0.1551  0.0086  0.0286  0.0286  0.0287  0.02
Cortot 1951   37  0.6480  0.0043  0.0444  0.0929  0.2938  0.16
Csalog 1996   53  0.5839  0.0072  0.0372  0.0331  0.2750  0.09
Czerny 1949   7  0.786  0.044  0.252  0.545  0.592  0.56
Czerny 1990   1  0.832  0.162  0.243  0.544  0.523  0.53
Duchoud 2007   22  0.7017  0.0111  0.0717  0.3421  0.4114  0.37
Ezaki 2006   2  0.821  0.251  0.251  0.622  0.611  0.61
Falvay 1989   14  0.7418  0.0123  0.0626  0.2721  0.3124  0.29
Farrell 1958   55  0.5658  0.0077  0.0379  0.0383  0.0376  0.03
Ferenczy 1958   44  0.6271  0.0044  0.0446  0.0727  0.3043  0.14
Fliere 1977   12  0.7455  0.0025  0.0524  0.2745  0.1036  0.16
Fou 1978   48  0.5846  0.0049  0.0453  0.0446  0.0859  0.06
Francois 1956   4  0.813  0.093  0.194  0.514  0.564  0.53
Friedman 1923   86  0.1861  0.0068  0.0458  0.0421  0.3646  0.12
Friedman 1923b   85  0.1940  0.0067  0.0368  0.0320  0.3649  0.10
Friedman 1930   81  0.2685  0.0065  0.0463  0.0440  0.1252  0.07
Garcia 2007   79  0.2753  0.0083  0.0283  0.0284  0.0286  0.02
Garcia 2007b   88  0.0412  0.0288  0.0289  0.0283  0.0290  0.02
Gierzod 1998   46  0.6219  0.0134  0.0537  0.1340  0.1544  0.14
Gornostaeva 1994   13  0.7411  0.0210  0.109  0.4014  0.3713  0.38
Groot 1988   8  0.785  0.0618  0.1018  0.3320  0.3619  0.34
Harasiewicz 1955   69  0.4767  0.0042  0.0445  0.0846  0.0562  0.06
Hatto 1993   84  0.2038  0.0063  0.0462  0.0447  0.0472  0.04
Hatto 1997   76  0.348  0.0247  0.0549  0.0539  0.1153  0.07
Horowitz 1949   70  0.4786  0.0075  0.0548  0.0554  0.0563  0.05
Indjic 1988   82  0.2569  0.0062  0.0374  0.0342  0.0964  0.05
Kapell 1951   25  0.7036  0.0040  0.0534  0.1729  0.3430  0.24
Kissin 1993   29  0.6766  0.0036  0.0435  0.1528  0.2535  0.19
Kushner 1989   15  0.7474  0.0012  0.0916  0.3416  0.3716  0.35
Luisada 1991   62  0.5259  0.0050  0.0459  0.0468  0.0466  0.04
Lushtak 2004   39  0.6372  0.0027  0.0623  0.2827  0.2229  0.25
Malcuzynski 1961   6  0.7822  0.019  0.096  0.4315  0.4210  0.42
Magaloff 1978   47  0.5950  0.0059  0.0367  0.0352  0.0475  0.03
Magin 1975   71  0.4077  0.0056  0.0461  0.0458  0.0469  0.04
Michalowski 1933   80  0.2744  0.0064  0.0366  0.0343  0.1360  0.06
Milkina 1970   30  0.6656  0.0052  0.0455  0.0461  0.0470  0.04
Mohovich 1999   11  0.7626  0.0019  0.0719  0.3221  0.3618  0.34
Moravec 1969   19  0.7162  0.0041  0.0539  0.1018  0.3634  0.19
Morozova 2008   38  0.637  0.037  0.0921  0.3011  0.2925  0.29
Neighaus 1950   24  0.7063  0.0015  0.0914  0.3525  0.3320  0.34
Niedzielski 1931   67  0.4987  0.0079  0.0369  0.0374  0.0284  0.02
Ohlsson 1999   33  0.6641  0.0038  0.0438  0.1129  0.2140  0.15
Osinska 1989   9  0.7760  0.0017  0.0815  0.356  0.4711  0.41
Pachmann 1927   66  0.5024  0.0173  0.0460  0.0428  0.2847  0.11
Paderewski 1930   59  0.5389  0.0074  0.0456  0.0457  0.0378  0.03
Perlemuter 1992   31  0.6628  0.0037  0.0536  0.1432  0.1937  0.16
Pierdomenico 2008   56  0.5581  0.0057  0.0464  0.0462  0.0468  0.04
Poblocka 1999   17  0.7227  0.0028  0.0730  0.2323  0.3226  0.27
Rabcewiczowa 1932   27  0.6837  0.0022  0.0622  0.288  0.4715  0.36
Rachmaninoff 1923   43  0.6234  0.0031  0.0533  0.1925  0.2632  0.22
Rangell 2001   49  0.5815  0.0158  0.0376  0.0344  0.1161  0.06
Richter 1976   54  0.5790  0.0070  0.0380  0.0361  0.0477  0.03
Rosen 1989   23  0.704  0.066  0.118  0.4212  0.479  0.44
Rosenthal 1930   57  0.5533  0.0061  0.0457  0.0437  0.1951  0.09
Rosenthal 1931   74  0.3673  0.0082  0.0375  0.0368  0.0379  0.03
Rosenthal 1931b   78  0.2975  0.0084  0.0285  0.0279  0.0389  0.02
Rosenthal 1931c   63  0.5183  0.0060  0.0370  0.0348  0.0673  0.04
Rosenthal 1931d   72  0.3768  0.0085  0.0284  0.0285  0.0288  0.02
Rossi 2007   73  0.3652  0.0035  0.0541  0.1020  0.2239  0.15
Rubinstein 1939   83  0.2414  0.0289  0.0290  0.0274  0.0383  0.02
Rubinstein 1952   51  0.589  0.0271  0.0381  0.0354  0.0674  0.04
Rubinstein 1966   35  0.6542  0.0054  0.0647  0.0627  0.3142  0.14
Schilhawsky 1960   52  0.5854  0.0039  0.0440  0.1044  0.1048  0.10
Shebanova 2002   42  0.6364  0.0053  0.0550  0.0542  0.1154  0.07
Smith 1975   28  0.6845  0.0024  0.0520  0.3041  0.1333  0.20
Sokolov 2002   20  0.7065  0.0032  0.0629  0.2330  0.2928  0.26
Sztompka 1959   16  0.7247  0.0021  0.0613  0.3718  0.3912  0.38
Tomsic 1995   10  0.7749  0.0014  0.0710  0.4012  0.487  0.44
Uninsky 1932   45  0.6216  0.0130  0.0732  0.2118  0.4323  0.30
Uninsky 1971   26  0.6813  0.0220  0.0725  0.2721  0.4121  0.33
Wasowski 1980   50  0.5848  0.0069  0.0382  0.0337  0.1257  0.06
Zak 1937   36  0.6532  0.0029  0.0631  0.2218  0.3327  0.27
Zak 1951   32  0.6631  0.0026  0.0627  0.2620  0.3622  0.31
Average   3  0.8135  0.005  0.135  0.4731  0.2417  0.34
Random 1   91  -0.1678  0.0091  0.0191  0.0184  0.0291  0.01
Random 2   90  -0.1591  0.0090  0.0288  0.0282  0.0285  0.02
Random 3   89  0.0182  0.0087  0.0287  0.0224  0.2456  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).