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   76  0.2887  0.0076  0.0375  0.0388  0.0290  0.02
Ashkenazy 1981   5  0.5132  0.0012  0.127  0.5410  0.463  0.50
Bacha 2000   67  0.3324  0.0061  0.0378  0.0385  0.0372  0.03
Badura 1965   29  0.416  0.069  0.1021  0.4131  0.2611  0.33
Barbosa 1983   60  0.3433  0.0048  0.0459  0.0472  0.0463  0.04
Biret 1990   6  0.504  0.073  0.233  0.6638  0.228  0.38
Blet 2003   35  0.4061  0.0039  0.0637  0.1856  0.0541  0.09
Block 1995   82  0.2477  0.0077  0.0470  0.0457  0.0567  0.04
Blumental 1952   17  0.4423  0.0014  0.1210  0.5243  0.1313  0.26
Boshniakovich 1969   22  0.4256  0.0029  0.0729  0.3176  0.0339  0.10
Brailowsky 1960   27  0.4155  0.0030  0.0827  0.3445  0.1218  0.20
Bunin 1987   84  0.2284  0.0087  0.0385  0.0380  0.0383  0.03
Bunin 1987b   85  0.2288  0.0086  0.0288  0.0286  0.0388  0.02
Chiu 1999   43  0.3836  0.0044  0.0542  0.1345  0.1132  0.12
Cohen 1997   74  0.2958  0.0079  0.0456  0.0482  0.0382  0.03
Cortot 1951   87  0.2145  0.0083  0.0386  0.0364  0.0485  0.03
Csalog 1996   53  0.3640  0.0051  0.0463  0.0478  0.0464  0.04
Czerny 1949   62  0.3375  0.0070  0.0462  0.0484  0.0279  0.03
Czerny 1990   45  0.3880  0.0045  0.0743  0.1360  0.0546  0.08
Duchoud 2007   79  0.2535  0.0071  0.0380  0.0356  0.0566  0.04
Ezaki 2006   23  0.4214  0.0134  0.0638  0.1757  0.0638  0.10
Falvay 1989   14  0.4644  0.0032  0.0636  0.2080  0.0440  0.09
Farrell 1958   78  0.2620  0.0062  0.0383  0.0366  0.0475  0.03
Ferenczy 1958   58  0.3562  0.0073  0.0551  0.0547  0.0750  0.06
Fliere 1977   13  0.4617  0.0124  0.0820  0.4255  0.0528  0.14
Fou 1978   11  0.4621  0.0020  0.0918  0.4246  0.0723  0.17
Francois 1956   61  0.3452  0.0059  0.0553  0.0562  0.0470  0.04
Friedman 1923   70  0.3134  0.0040  0.0540  0.1543  0.1034  0.12
Friedman 1923b   69  0.3215  0.0128  0.0730  0.2638  0.2016  0.23
Friedman 1930   52  0.365  0.068  0.1013  0.4814  0.484  0.48
Garcia 2007   88  0.2068  0.0082  0.0377  0.0380  0.0380  0.03
Garcia 2007b   68  0.3366  0.0054  0.0458  0.0466  0.0571  0.04
Gierzod 1998   3  0.527  0.034  0.204  0.5954  0.0621  0.19
Gornostaeva 1994   59  0.3582  0.0058  0.0548  0.0579  0.0368  0.04
Groot 1988   18  0.448  0.036  0.126  0.5424  0.297  0.40
Harasiewicz 1955   24  0.4281  0.0026  0.0825  0.3957  0.0530  0.14
Hatto 1993   28  0.4185  0.0021  0.1019  0.4284  0.0337  0.11
Hatto 1997   21  0.4273  0.0025  0.0826  0.3852  0.0529  0.14
Horowitz 1949   33  0.409  0.0215  0.0914  0.465  0.582  0.52
Indjic 1988   20  0.4360  0.0023  0.0923  0.4072  0.0431  0.13
Kapell 1951   77  0.2759  0.0084  0.0373  0.0388  0.0287  0.02
Kissin 1993   26  0.4276  0.0037  0.0539  0.1653  0.0735  0.11
Kushner 1989   39  0.3963  0.0064  0.0471  0.0487  0.0376  0.03
Luisada 1991   2  0.533  0.102  0.252  0.699  0.611  0.65
Lushtak 2004   83  0.2389  0.0075  0.0381  0.0382  0.0381  0.03
Malcuzynski 1961   66  0.3364  0.0069  0.0382  0.0383  0.0289  0.02
Magaloff 1978   12  0.4649  0.0016  0.0912  0.5049  0.0719  0.19
Magin 1975   10  0.4618  0.0127  0.0728  0.3154  0.0533  0.12
Michalowski 1933   57  0.3551  0.0060  0.0467  0.047  0.5525  0.15
Milkina 1970   7  0.4831  0.007  0.125  0.5760  0.0622  0.18
Mohovich 1999   19  0.4311  0.0213  0.1115  0.4441  0.1414  0.25
Moravec 1969   65  0.3372  0.0072  0.0472  0.0475  0.0373  0.03
Morozova 2008   63  0.3322  0.0042  0.0641  0.1571  0.0444  0.08
Neighaus 1950   48  0.3738  0.0041  0.0635  0.2132  0.2517  0.23
Niedzielski 1931   80  0.2578  0.0078  0.0469  0.0455  0.0558  0.04
Ohlsson 1999   9  0.472  0.105  0.199  0.5224  0.405  0.46
Osinska 1989   32  0.4125  0.0035  0.0532  0.2476  0.0343  0.08
Pachmann 1927   86  0.2190  0.0088  0.0387  0.0376  0.0377  0.03
Paderewski 1930   75  0.2974  0.0074  0.0379  0.0341  0.1547  0.07
Perlemuter 1992   44  0.3850  0.0038  0.0544  0.1136  0.2424  0.16
Pierdomenico 2008   46  0.3728  0.0067  0.0376  0.0359  0.0556  0.04
Poblocka 1999   56  0.3546  0.0057  0.0552  0.0572  0.0553  0.05
Rabcewiczowa 1932   71  0.3154  0.0053  0.0460  0.0485  0.0274  0.03
Rachmaninoff 1923   37  0.3930  0.0019  0.0916  0.4337  0.2312  0.31
Rangell 2001   81  0.2479  0.0085  0.0374  0.0377  0.0484  0.03
Richter 1976   30  0.4165  0.0046  0.0549  0.0567  0.0361  0.04
Rosen 1989   4  0.5126  0.0011  0.118  0.5436  0.269  0.37
Rosenthal 1930   25  0.4216  0.0118  0.0824  0.4023  0.466  0.43
Rosenthal 1931   54  0.3639  0.0043  0.0545  0.1074  0.0449  0.06
Rosenthal 1931b   55  0.3547  0.0050  0.0455  0.0456  0.0569  0.04
Rosenthal 1931c   41  0.3867  0.0049  0.0466  0.0449  0.0852  0.06
Rosenthal 1931d   38  0.3953  0.0036  0.0634  0.2233  0.2915  0.25
Rossi 2007   47  0.3748  0.0066  0.0550  0.0554  0.0554  0.05
Rubinstein 1939   51  0.3619  0.0168  0.0464  0.0463  0.0457  0.04
Rubinstein 1952   40  0.3813  0.0163  0.0384  0.0380  0.0386  0.03
Rubinstein 1966   50  0.3691  0.0065  0.0468  0.0480  0.0378  0.03
Schilhawsky 1960   15  0.4642  0.0033  0.0733  0.2256  0.0442  0.09
Shebanova 2002   31  0.4137  0.0031  0.0631  0.2658  0.0536  0.11
Smith 1975   8  0.4729  0.0017  0.1211  0.5140  0.2310  0.34
Sokolov 2002   49  0.3783  0.0052  0.0457  0.0455  0.0555  0.04
Sztompka 1959   64  0.3312  0.0147  0.0554  0.0571  0.0462  0.04
Tomsic 1995   73  0.2969  0.0081  0.0465  0.0469  0.0560  0.04
Uninsky 1932   72  0.3086  0.0080  0.0547  0.0574  0.0365  0.04
Uninsky 1971   16  0.4610  0.0222  0.0917  0.4362  0.0526  0.15
Wasowski 1980   42  0.3841  0.0010  0.1022  0.4072  0.0527  0.14
Zak 1937   34  0.4027  0.0055  0.0461  0.0468  0.0459  0.04
Zak 1951   36  0.3943  0.0056  0.0746  0.0750  0.0648  0.06
Average   1  0.591  0.341  0.331  0.7363  0.0520  0.19
Random 1   91  -0.0757  0.0091  0.0191  0.0178  0.0291  0.01
Random 2   89  0.0070  0.0090  0.0289  0.0223  0.2945  0.08
Random 3   90  -0.0471  0.0089  0.0290  0.0237  0.1951  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).