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  0.2887  0.0075  0.0374  0.0387  0.0289  0.02
Ashkenazy 1981   4  0.5110  0.0211  0.126  0.549  0.463  0.50
Bacha 2000   66  0.3328  0.0060  0.0377  0.0384  0.0372  0.03
Badura 1965   28  0.415  0.068  0.1020  0.4130  0.2611  0.33
Barbosa 1983   59  0.3435  0.0047  0.0458  0.0471  0.0464  0.04
Biret 1990   5  0.502  0.142  0.232  0.6637  0.228  0.38
Blet 2003   34  0.4064  0.0038  0.0636  0.1855  0.0540  0.09
Block 1995   81  0.2478  0.0076  0.0469  0.0456  0.0568  0.04
Blumental 1952   16  0.4427  0.0013  0.129  0.5242  0.1313  0.26
Boshniakovich 1969   21  0.4256  0.0028  0.0728  0.3175  0.0338  0.10
Brailowsky 1960   26  0.4157  0.0029  0.0826  0.3444  0.1218  0.20
Bunin 1987   83  0.2284  0.0086  0.0384  0.0379  0.0382  0.03
Bunin 1987b   84  0.2288  0.0085  0.0287  0.0285  0.0387  0.02
Chiu 1999   42  0.3834  0.0043  0.0541  0.1344  0.1131  0.12
Cohen 1997   73  0.2960  0.0078  0.0455  0.0481  0.0381  0.03
Cortot 1951   86  0.2147  0.0082  0.0385  0.0363  0.0484  0.03
Csalog 1996   52  0.3639  0.0050  0.0462  0.0477  0.0465  0.04
Czerny 1949   61  0.3376  0.0069  0.0461  0.0483  0.0278  0.03
Czerny 1990   44  0.3879  0.0044  0.0742  0.1359  0.0544  0.08
Duchoud 2007   78  0.2537  0.0070  0.0379  0.0355  0.0567  0.04
Ezaki 2006   22  0.4214  0.0133  0.0637  0.1756  0.0637  0.10
Falvay 1989   13  0.4624  0.0031  0.0635  0.2079  0.0439  0.09
Farrell 1958   77  0.2619  0.0161  0.0382  0.0365  0.0474  0.03
Ferenczy 1958   57  0.3565  0.0072  0.0550  0.0546  0.0749  0.06
Fliere 1977   12  0.4620  0.0123  0.0819  0.4254  0.0527  0.14
Fou 1978   10  0.4622  0.0119  0.0917  0.4245  0.0722  0.17
Francois 1956   60  0.3453  0.0058  0.0552  0.0561  0.0470  0.04
Friedman 1923   69  0.3136  0.0039  0.0539  0.1542  0.1033  0.12
Friedman 1923b   68  0.3217  0.0127  0.0829  0.2637  0.2016  0.23
Friedman 1930   51  0.364  0.067  0.1012  0.4813  0.484  0.48
Garcia 2007   87  0.2070  0.0081  0.0376  0.0379  0.0379  0.03
Garcia 2007b   67  0.3368  0.0053  0.0457  0.0465  0.0571  0.04
Gierzod 1998   2  0.526  0.043  0.203  0.5953  0.0620  0.19
Gornostaeva 1994   58  0.3582  0.0057  0.0547  0.0578  0.0369  0.04
Groot 1988   17  0.447  0.045  0.125  0.5423  0.297  0.40
Harasiewicz 1955   23  0.4258  0.0025  0.0824  0.3956  0.0529  0.14
Hatto 1993   27  0.4185  0.0020  0.1018  0.4283  0.0336  0.11
Hatto 1997   20  0.4274  0.0024  0.0825  0.3851  0.0528  0.14
Horowitz 1949   32  0.409  0.0214  0.0913  0.464  0.582  0.52
Indjic 1988   19  0.4362  0.0022  0.1022  0.4071  0.0430  0.13
Kapell 1951   76  0.2761  0.0083  0.0372  0.0387  0.0286  0.02
Kissin 1993   25  0.4277  0.0036  0.0538  0.1652  0.0734  0.11
Kushner 1989   38  0.3966  0.0063  0.0470  0.0486  0.0375  0.03
Luisada 1991   1  0.531  0.261  0.251  0.698  0.611  0.65
Lushtak 2004   82  0.2389  0.0074  0.0380  0.0381  0.0480  0.03
Malcuzynski 1961   65  0.3367  0.0068  0.0381  0.0382  0.0288  0.02
Magaloff 1978   11  0.4650  0.0015  0.0911  0.5048  0.0719  0.19
Magin 1975   9  0.4621  0.0126  0.0727  0.3153  0.0532  0.12
Michalowski 1933   56  0.3552  0.0059  0.0466  0.046  0.5524  0.15
Milkina 1970   6  0.4812  0.026  0.134  0.5759  0.0621  0.18
Mohovich 1999   18  0.438  0.0312  0.1114  0.4440  0.1414  0.25
Moravec 1969   64  0.3373  0.0071  0.0471  0.0474  0.0455  0.04
Morozova 2008   62  0.3325  0.0041  0.0640  0.1570  0.0443  0.08
Neighaus 1950   47  0.3740  0.0040  0.0634  0.2131  0.2517  0.23
Niedzielski 1931   79  0.2580  0.0077  0.0468  0.0454  0.0559  0.04
Ohlsson 1999   8  0.473  0.114  0.198  0.5223  0.405  0.46
Osinska 1989   31  0.4126  0.0034  0.0631  0.2475  0.0342  0.08
Pachmann 1927   85  0.2190  0.0087  0.0386  0.0375  0.0376  0.03
Paderewski 1930   74  0.2975  0.0073  0.0378  0.0340  0.1545  0.07
Perlemuter 1992   43  0.3851  0.0037  0.0543  0.1135  0.2423  0.16
Pierdomenico 2008   45  0.3732  0.0066  0.0375  0.0358  0.0557  0.04
Poblocka 1999   55  0.3546  0.0056  0.0551  0.0571  0.0552  0.05
Rabcewiczowa 1932   70  0.3155  0.0052  0.0459  0.0484  0.0273  0.03
Rachmaninoff 1923   36  0.3933  0.0018  0.0915  0.4336  0.2312  0.31
Rangell 2001   80  0.2481  0.0084  0.0373  0.0376  0.0483  0.03
Richter 1976   29  0.4138  0.0045  0.0548  0.0566  0.0362  0.04
Rosen 1989   3  0.5130  0.0010  0.127  0.5435  0.269  0.37
Rosenthal 1930   24  0.4218  0.0117  0.0823  0.4022  0.466  0.43
Rosenthal 1931   53  0.3641  0.0042  0.0544  0.1073  0.0448  0.06
Rosenthal 1931b   54  0.3549  0.0049  0.0554  0.0555  0.0554  0.05
Rosenthal 1931c   40  0.3869  0.0048  0.0465  0.0448  0.0851  0.06
Rosenthal 1931d   37  0.3954  0.0035  0.0633  0.2232  0.2915  0.25
Rossi 2007   46  0.3748  0.0065  0.0549  0.0553  0.0553  0.05
Rubinstein 1939   50  0.3623  0.0167  0.0463  0.0462  0.0458  0.04
Rubinstein 1952   39  0.3815  0.0162  0.0383  0.0379  0.0385  0.03
Rubinstein 1966   49  0.3645  0.0064  0.0467  0.0479  0.0377  0.03
Schilhawsky 1960   14  0.4642  0.0032  0.0732  0.2255  0.0441  0.09
Shebanova 2002   30  0.4113  0.0230  0.0630  0.2657  0.0535  0.11
Smith 1975   7  0.4729  0.0016  0.1210  0.5139  0.2310  0.34
Sokolov 2002   48  0.3783  0.0051  0.0456  0.0454  0.0556  0.04
Sztompka 1959   63  0.3316  0.0146  0.0553  0.0570  0.0463  0.04
Tomsic 1995   72  0.2963  0.0080  0.0464  0.0468  0.0561  0.04
Uninsky 1932   71  0.3086  0.0079  0.0546  0.0573  0.0366  0.04
Uninsky 1971   15  0.4611  0.0221  0.0916  0.4361  0.0525  0.15
Wasowski 1980   41  0.3843  0.009  0.1021  0.4071  0.0526  0.14
Zak 1937   33  0.4031  0.0054  0.0460  0.0467  0.0460  0.04
Zak 1951   35  0.3944  0.0055  0.0745  0.0749  0.0647  0.06
Random 1   90  -0.0759  0.0090  0.0190  0.0177  0.0290  0.01
Random 2   88  0.0071  0.0089  0.0288  0.0223  0.2846  0.07
Random 3   89  -0.0472  0.0088  0.0289  0.0236  0.1650  0.06

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).