Czerny 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   3  0.835  0.042  0.263  0.653  0.624  0.63
Anderszewski 2003   40  0.6731  0.0048  0.0551  0.0524  0.2661  0.11
Ashkenazy 1981   50  0.6422  0.0033  0.0535  0.1833  0.2238  0.20
Bacha 2000   70  0.5470  0.0071  0.0550  0.0543  0.1567  0.09
Badura 1965   56  0.6248  0.0062  0.0466  0.0436  0.2366  0.10
Barbosa 1983   67  0.5738  0.0063  0.0468  0.0422  0.2859  0.11
Biret 1990   23  0.7037  0.0024  0.0722  0.3218  0.3425  0.33
Blet 2003   14  0.7440  0.0020  0.0918  0.415  0.5216  0.46
Block 1995   69  0.5446  0.0073  0.0386  0.0345  0.0975  0.05
Blumental 1952   54  0.6317  0.0118  0.1325  0.282  0.4822  0.37
Boshniakovich 1969   52  0.6465  0.0066  0.0469  0.0469  0.0481  0.04
Brailowsky 1960   57  0.6163  0.0077  0.0379  0.0364  0.0485  0.03
Bunin 1987   74  0.5385  0.0083  0.0287  0.0248  0.0687  0.03
Bunin 1987b   75  0.5186  0.0084  0.0462  0.0450  0.0674  0.05
Chiu 1999   61  0.5980  0.0061  0.0373  0.0324  0.3164  0.10
Cohen 1997   88  0.3028  0.0088  0.0464  0.0470  0.0482  0.04
Cortot 1951   39  0.6824  0.0052  0.0549  0.0519  0.3853  0.14
Csalog 1996   83  0.4784  0.0082  0.0288  0.0244  0.1079  0.04
Czerny 1949   2  0.842  0.083  0.192  0.692  0.701  0.69
Czerny 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Duchoud 2007   63  0.5932  0.0067  0.0460  0.0440  0.1570  0.08
Ezaki 2006   4  0.824  0.044  0.204  0.652  0.623  0.63
Falvay 1989   41  0.6714  0.0156  0.0548  0.0513  0.4847  0.15
Farrell 1958   47  0.6554  0.0057  0.0467  0.0420  0.2765  0.10
Ferenczy 1958   53  0.6335  0.0047  0.0556  0.0526  0.2662  0.11
Fliere 1977   7  0.8045  0.0014  0.1012  0.5020  0.4017  0.45
Fou 1978   59  0.5929  0.0040  0.0444  0.0952  0.0572  0.07
Francois 1956   8  0.783  0.075  0.225  0.581  0.685  0.63
Friedman 1923   84  0.4689  0.0070  0.0552  0.0511  0.4946  0.16
Friedman 1923b   85  0.4690  0.0065  0.0461  0.0412  0.4852  0.14
Friedman 1930   62  0.5952  0.0049  0.0647  0.0613  0.4641  0.17
Garcia 2007   73  0.5387  0.0080  0.0385  0.0348  0.0680  0.04
Garcia 2007b   87  0.3982  0.0081  0.0381  0.0353  0.0584  0.04
Gierzod 1998   12  0.7459  0.0016  0.1016  0.4615  0.4418  0.45
Gornostaeva 1994   20  0.7139  0.0037  0.0637  0.1614  0.4633  0.27
Groot 1988   44  0.6643  0.0041  0.0542  0.1033  0.3043  0.17
Harasiewicz 1955   48  0.6550  0.0031  0.0631  0.2134  0.2137  0.21
Hatto 1993   76  0.5183  0.0069  0.0458  0.0463  0.0483  0.04
Hatto 1997   68  0.5641  0.0060  0.0377  0.0342  0.1173  0.06
Horowitz 1949   66  0.5778  0.0079  0.0380  0.0365  0.0486  0.03
Indjic 1988   72  0.5356  0.0068  0.0470  0.0465  0.0478  0.04
Kapell 1951   16  0.7311  0.0212  0.1113  0.508  0.4714  0.48
Kissin 1993   15  0.7457  0.0023  0.0919  0.4114  0.4519  0.43
Kushner 1989   5  0.8130  0.007  0.118  0.545  0.5711  0.55
Luisada 1991   30  0.6974  0.0025  0.0728  0.2526  0.3827  0.31
Lushtak 2004   46  0.6651  0.0032  0.0733  0.1836  0.1742  0.17
Malcuzynski 1961   25  0.7047  0.0036  0.0532  0.198  0.4829  0.30
Magaloff 1978   33  0.6921  0.0035  0.0536  0.1711  0.4432  0.27
Magin 1975   49  0.6520  0.0028  0.0829  0.2512  0.4126  0.32
Michalowski 1933   65  0.5871  0.0055  0.0554  0.0521  0.3950  0.14
Milkina 1970   24  0.7023  0.0022  0.0824  0.2925  0.3328  0.31
Mohovich 1999   13  0.7415  0.0117  0.1311  0.507  0.5612  0.53
Moravec 1969   17  0.7312  0.0111  0.1414  0.471  0.727  0.58
Morozova 2008   19  0.7249  0.0015  0.1120  0.397  0.4220  0.40
Neighaus 1950   29  0.6979  0.0021  0.0921  0.3231  0.2431  0.28
Niedzielski 1931   28  0.708  0.0227  0.0830  0.212  0.5924  0.35
Ohlsson 1999   36  0.6816  0.0145  0.0445  0.0836  0.1756  0.12
Osinska 1989   6  0.8113  0.0113  0.119  0.535  0.5810  0.55
Pachmann 1927   79  0.5068  0.0085  0.0382  0.0350  0.0577  0.04
Paderewski 1930   34  0.6960  0.0051  0.0553  0.0512  0.3749  0.14
Perlemuter 1992   22  0.7144  0.0026  0.0723  0.3114  0.4123  0.36
Pierdomenico 2008   60  0.5969  0.0064  0.0465  0.0421  0.4155  0.13
Poblocka 1999   37  0.6873  0.0044  0.0441  0.1134  0.1848  0.14
Rabcewiczowa 1932   10  0.7625  0.008  0.1310  0.511  0.658  0.58
Rachmaninoff 1923   18  0.727  0.029  0.126  0.552  0.666  0.60
Rangell 2001   81  0.4953  0.0078  0.0383  0.0356  0.0488  0.03
Richter 1976   77  0.5166  0.0086  0.0374  0.0360  0.0576  0.04
Rosen 1989   21  0.719  0.0210  0.1115  0.4613  0.4915  0.47
Rosenthal 1930   55  0.6258  0.0058  0.0376  0.0310  0.5057  0.12
Rosenthal 1931   80  0.5076  0.0072  0.0372  0.0319  0.4260  0.11
Rosenthal 1931b   82  0.4772  0.0076  0.0463  0.0421  0.3363  0.11
Rosenthal 1931c   58  0.6064  0.0053  0.0555  0.059  0.5644  0.17
Rosenthal 1931d   78  0.5142  0.0075  0.0384  0.0324  0.2768  0.09
Rossi 2007   64  0.5810  0.0254  0.0457  0.041  0.6645  0.16
Rubinstein 1939   86  0.4667  0.0087  0.0471  0.0443  0.1371  0.07
Rubinstein 1952   71  0.5455  0.0074  0.0378  0.0335  0.2569  0.09
Rubinstein 1966   45  0.6618  0.0142  0.0543  0.0928  0.3540  0.18
Schilhawsky 1960   38  0.6877  0.0038  0.0539  0.1433  0.3236  0.21
Shebanova 2002   26  0.7036  0.0043  0.0440  0.1122  0.3239  0.19
Smith 1975   11  0.7534  0.0019  0.1317  0.455  0.5413  0.49
Sokolov 2002   42  0.6726  0.0039  0.0638  0.1524  0.3834  0.24
Sztompka 1959   9  0.776  0.046  0.217  0.553  0.629  0.58
Tomsic 1995   51  0.6461  0.0059  0.0375  0.0318  0.4458  0.11
Uninsky 1932   27  0.7027  0.0030  0.0626  0.2710  0.5421  0.38
Uninsky 1971   43  0.6662  0.0050  0.0646  0.0631  0.3251  0.14
Wasowski 1980   31  0.6919  0.0146  0.0459  0.046  0.4154  0.13
Zak 1937   32  0.6975  0.0034  0.0634  0.1828  0.2735  0.22
Zak 1951   35  0.6933  0.0029  0.0727  0.2623  0.3030  0.28
Average   1  0.881  0.471  0.471  0.775  0.592  0.67
Random 1   91  -0.1991  0.0091  0.0191  0.0184  0.0291  0.01
Random 2   90  -0.1188  0.0089  0.0290  0.0271  0.0389  0.02
Random 3   89  -0.0981  0.0090  0.0289  0.0272  0.0390  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).