Ashkenazy 1981

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   4  0.514  0.102  0.239  0.466  0.544  0.50
Anderszewski 2003   44  0.3681  0.0042  0.0540  0.1371  0.0444  0.07
Ashkenazy 1981   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bacha 2000   6  0.498  0.037  0.115  0.519  0.503  0.50
Badura 1965   55  0.3525  0.0039  0.0536  0.1946  0.0726  0.12
Barbosa 1983   36  0.3853  0.0080  0.0283  0.0278  0.0386  0.02
Biret 1990   12  0.4519  0.0112  0.098  0.4762  0.0520  0.15
Blet 2003   27  0.4158  0.0032  0.0723  0.2950  0.0622  0.13
Block 1995   79  0.2786  0.0071  0.0360  0.0373  0.0478  0.03
Blumental 1952   53  0.3523  0.0073  0.0356  0.0382  0.0379  0.03
Boshniakovich 1969   17  0.4336  0.0018  0.0817  0.4259  0.0619  0.16
Brailowsky 1960   73  0.3143  0.0058  0.0377  0.0375  0.0462  0.03
Bunin 1987   40  0.3750  0.0026  0.0724  0.2961  0.0431  0.11
Bunin 1987b   63  0.3465  0.0049  0.0745  0.0771  0.0452  0.05
Chiu 1999   76  0.2987  0.0079  0.0286  0.0277  0.0385  0.02
Cohen 1997   80  0.2760  0.0074  0.0357  0.0357  0.0481  0.03
Cortot 1951   86  0.2166  0.0087  0.0452  0.0470  0.0384  0.03
Csalog 1996   71  0.3282  0.0065  0.0454  0.0474  0.0454  0.04
Czerny 1949   61  0.3467  0.0078  0.0288  0.0284  0.0287  0.02
Czerny 1990   56  0.3540  0.0060  0.0455  0.0474  0.0382  0.03
Duchoud 2007   33  0.3926  0.0028  0.0532  0.2418  0.5011  0.35
Ezaki 2006   22  0.4279  0.0054  0.0369  0.0379  0.0358  0.03
Falvay 1989   26  0.4161  0.0057  0.0371  0.0372  0.0464  0.03
Farrell 1958   74  0.3147  0.0063  0.0379  0.0376  0.0467  0.03
Ferenczy 1958   81  0.2783  0.0085  0.0284  0.0273  0.0475  0.03
Fliere 1977   28  0.4184  0.0043  0.0737  0.1959  0.0533  0.10
Fou 1978   2  0.5310  0.025  0.153  0.5741  0.1314  0.27
Francois 1956   31  0.4021  0.0024  0.0619  0.3730  0.2712  0.32
Friedman 1923   49  0.3669  0.0016  0.0912  0.4515  0.516  0.48
Friedman 1923b   50  0.3652  0.008  0.127  0.4816  0.515  0.49
Friedman 1930   65  0.3311  0.0117  0.0815  0.4323  0.379  0.40
Garcia 2007   87  0.1888  0.0086  0.0381  0.0378  0.0377  0.03
Garcia 2007b   84  0.2473  0.0082  0.0370  0.0388  0.0288  0.02
Gierzod 1998   3  0.5118  0.0113  0.0814  0.4478  0.0330  0.11
Gornostaeva 1994   32  0.3928  0.0031  0.0629  0.2667  0.0438  0.10
Groot 1988   48  0.3637  0.0044  0.0644  0.1266  0.0445  0.07
Harasiewicz 1955   30  0.407  0.0420  0.0833  0.2366  0.0439  0.10
Hatto 1993   46  0.3655  0.0046  0.0548  0.0566  0.0457  0.04
Hatto 1997   59  0.3532  0.0069  0.0372  0.0385  0.0374  0.03
Horowitz 1949   18  0.433  0.103  0.252  0.591  0.681  0.63
Indjic 1988   52  0.3544  0.0068  0.0375  0.0383  0.0371  0.03
Kapell 1951   77  0.2864  0.0064  0.0373  0.0371  0.0468  0.03
Kissin 1993   1  0.5316  0.0111  0.106  0.4941  0.2610  0.36
Kushner 1989   16  0.4380  0.0041  0.0539  0.1676  0.0443  0.08
Luisada 1991   20  0.4362  0.0033  0.0926  0.2773  0.0432  0.10
Lushtak 2004   72  0.3229  0.0023  0.0728  0.2678  0.0437  0.10
Malcuzynski 1961   51  0.3589  0.0053  0.0376  0.0367  0.0469  0.03
Magaloff 1978   41  0.3756  0.0072  0.0366  0.0382  0.0363  0.03
Magin 1975   21  0.4227  0.0036  0.0531  0.2573  0.0434  0.10
Michalowski 1933   85  0.2414  0.0127  0.0641  0.1321  0.3817  0.22
Milkina 1970   14  0.4548  0.0021  0.0722  0.3473  0.0425  0.12
Mohovich 1999   19  0.4320  0.0014  0.0816  0.4366  0.0424  0.13
Moravec 1969   70  0.3285  0.0081  0.0380  0.0372  0.0459  0.03
Morozova 2008   23  0.425  0.0519  0.0718  0.4040  0.1218  0.22
Neighaus 1950   5  0.491  0.341  0.331  0.602  0.652  0.62
Niedzielski 1931   35  0.3815  0.019  0.1310  0.464  0.497  0.47
Ohlsson 1999   15  0.4430  0.0029  0.0627  0.2648  0.0529  0.11
Osinska 1989   47  0.3677  0.0062  0.0367  0.0384  0.0361  0.03
Pachmann 1927   54  0.3538  0.0052  0.0362  0.0335  0.2542  0.09
Paderewski 1930   82  0.2551  0.0077  0.0285  0.0232  0.1947  0.06
Perlemuter 1992   60  0.3570  0.0048  0.0647  0.0659  0.0450  0.05
Pierdomenico 2008   68  0.3342  0.0084  0.0382  0.0376  0.0365  0.03
Poblocka 1999   67  0.3341  0.0059  0.0359  0.0369  0.0553  0.04
Rabcewiczowa 1932   69  0.3271  0.0025  0.0825  0.2764  0.0435  0.10
Rachmaninoff 1923   42  0.376  0.046  0.1111  0.4537  0.2213  0.31
Rangell 2001   62  0.3463  0.0070  0.0378  0.0374  0.0483  0.03
Richter 1976   7  0.492  0.1110  0.1121  0.3540  0.1815  0.25
Rosen 1989   29  0.4068  0.0045  0.0549  0.0579  0.0355  0.04
Rosenthal 1930   58  0.3557  0.0067  0.0361  0.0342  0.1248  0.06
Rosenthal 1931   75  0.3090  0.0075  0.0358  0.0369  0.0472  0.03
Rosenthal 1931b   57  0.3559  0.0047  0.0646  0.0627  0.3221  0.14
Rosenthal 1931c   38  0.3874  0.0050  0.0550  0.0549  0.0849  0.06
Rosenthal 1931d   78  0.2875  0.0066  0.0374  0.0358  0.0556  0.04
Rossi 2007   66  0.3335  0.0051  0.0451  0.0445  0.0651  0.05
Rubinstein 1939   34  0.3945  0.0061  0.0365  0.0370  0.0466  0.03
Rubinstein 1952   24  0.4213  0.0135  0.0538  0.1880  0.0346  0.07
Rubinstein 1966   13  0.4512  0.0115  0.0813  0.4568  0.0423  0.13
Schilhawsky 1960   37  0.3824  0.0076  0.0453  0.0477  0.0373  0.03
Shebanova 2002   8  0.489  0.034  0.224  0.5522  0.358  0.44
Smith 1975   39  0.3734  0.0038  0.0542  0.1345  0.0927  0.11
Sokolov 2002   11  0.4533  0.0022  0.0820  0.3742  0.1416  0.23
Sztompka 1959   25  0.4139  0.0037  0.0634  0.2149  0.0536  0.10
Tomsic 1995   43  0.3722  0.0040  0.0443  0.1249  0.0741  0.09
Uninsky 1932   64  0.3354  0.0056  0.0368  0.0361  0.0476  0.03
Uninsky 1971   45  0.3646  0.0055  0.0364  0.0372  0.0470  0.03
Wasowski 1980   83  0.2472  0.0083  0.0363  0.0382  0.0360  0.03
Zak 1937   9  0.4617  0.0134  0.0635  0.2169  0.0440  0.09
Zak 1951   10  0.4649  0.0030  0.0630  0.2651  0.0528  0.11
Random 1   89  -0.1031  0.0089  0.0189  0.0187  0.0290  0.01
Random 2   90  -0.1076  0.0090  0.0190  0.0183  0.0289  0.01
Random 3   88  -0.1078  0.0088  0.0287  0.0255  0.0480  0.03

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).