Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   29  0.4762  0.0044  0.0444  0.0975  0.0350  0.05
Anderszewski 2003   49  0.4338  0.0041  0.0445  0.0885  0.0349  0.05
Ashkenazy 1981   17  0.4913  0.0220  0.0616  0.3283  0.0335  0.10
Bacha 2000   67  0.3828  0.0079  0.0376  0.0377  0.0471  0.03
Badura 1965   62  0.3924  0.0162  0.0553  0.0576  0.0462  0.04
Barbosa 1983   83  0.3065  0.0064  0.0550  0.0585  0.0357  0.04
Biret 1990   39  0.4443  0.0042  0.0440  0.1381  0.0443  0.07
Blet 2003   19  0.4821  0.0114  0.077  0.3938  0.1410  0.23
Block 1995   59  0.4034  0.0052  0.0462  0.0462  0.0463  0.04
Blumental 1952   40  0.4486  0.0032  0.0730  0.2145  0.0821  0.13
Boshniakovich 1969   2  0.598  0.023  0.222  0.5928  0.311  0.43
Brailowsky 1960   84  0.2973  0.0088  0.0374  0.0376  0.0472  0.03
Bunin 1987   53  0.429  0.0251  0.0460  0.0460  0.0565  0.04
Bunin 1987b   55  0.4130  0.0056  0.0458  0.0446  0.0647  0.05
Chiu 1999   77  0.3466  0.0065  0.0457  0.0478  0.0374  0.03
Cohen 1997   79  0.3441  0.0070  0.0381  0.0343  0.1345  0.06
Cortot 1951   21  0.4827  0.0013  0.0913  0.3523  0.364  0.35
Csalog 1996   75  0.3477  0.0082  0.0378  0.0372  0.0483  0.03
Czerny 1949   35  0.4587  0.0049  0.0554  0.0575  0.0460  0.04
Czerny 1990   9  0.5229  0.0024  0.0718  0.3270  0.0430  0.11
Duchoud 2007   76  0.3481  0.0083  0.0472  0.0464  0.0461  0.04
Ezaki 2006   61  0.4089  0.0078  0.0382  0.0388  0.0370  0.03
Falvay 1989   60  0.4082  0.0076  0.0377  0.0388  0.0375  0.03
Farrell 1958   44  0.4412  0.0230  0.0620  0.3155  0.0619  0.14
Ferenczy 1958   48  0.4349  0.0059  0.0555  0.0556  0.0459  0.04
Fliere 1977   8  0.5261  0.0019  0.088  0.3968  0.0422  0.12
Fou 1978   37  0.4426  0.0135  0.0732  0.2180  0.0438  0.09
Francois 1956   11  0.514  0.034  0.145  0.4741  0.186  0.29
Friedman 1923   87  0.2969  0.0058  0.0469  0.0460  0.0569  0.04
Friedman 1923b   86  0.2957  0.0057  0.0467  0.0451  0.0566  0.04
Friedman 1930   54  0.4110  0.0218  0.0826  0.2840  0.1611  0.21
Garcia 2007   68  0.3852  0.0053  0.0548  0.0556  0.0651  0.05
Garcia 2007b   80  0.3351  0.0040  0.0542  0.1037  0.1331  0.11
Gierzod 1998   14  0.5032  0.0021  0.0712  0.3661  0.0425  0.12
Gornostaeva 1994   26  0.4763  0.0047  0.0646  0.0686  0.0287  0.03
Groot 1988   23  0.4759  0.0046  0.0549  0.0578  0.0367  0.04
Harasiewicz 1955   51  0.4242  0.0034  0.0637  0.1788  0.0246  0.06
Hatto 1993   74  0.3611  0.0217  0.0735  0.1964  0.0536  0.10
Hatto 1997   70  0.3736  0.0015  0.0729  0.2261  0.0534  0.10
Horowitz 1949   64  0.3825  0.0181  0.0383  0.0379  0.0381  0.03
Indjic 1988   69  0.3735  0.0016  0.0733  0.2053  0.0628  0.11
Kapell 1951   4  0.5431  0.006  0.126  0.4754  0.0514  0.15
Kissin 1993   7  0.535  0.039  0.0814  0.3346  0.0716  0.15
Kushner 1989   13  0.5164  0.0025  0.0515  0.3251  0.0713  0.15
Luisada 1991   63  0.3947  0.0060  0.0547  0.0569  0.0454  0.04
Lushtak 2004   36  0.4567  0.0027  0.0725  0.2864  0.0429  0.11
Malcuzynski 1961   5  0.543  0.048  0.0711  0.3647  0.0615  0.15
Magaloff 1978   10  0.516  0.037  0.079  0.3867  0.0423  0.12
Magin 1975   47  0.4320  0.0168  0.0464  0.0458  0.0455  0.04
Michalowski 1933   16  0.4945  0.0012  0.1010  0.3715  0.403  0.38
Milkina 1970   41  0.4474  0.0071  0.0385  0.0388  0.0379  0.03
Mohovich 1999   56  0.4191  0.0063  0.0465  0.0466  0.0464  0.04
Moravec 1969   46  0.4378  0.0055  0.0466  0.0460  0.0453  0.04
Morozova 2008   66  0.3875  0.0073  0.0387  0.0383  0.0384  0.03
Neighaus 1950   6  0.537  0.035  0.144  0.4955  0.0512  0.16
Niedzielski 1931   45  0.4315  0.0154  0.0456  0.0466  0.0377  0.03
Ohlsson 1999   25  0.4719  0.0145  0.0543  0.1053  0.0541  0.07
Osinska 1989   12  0.5183  0.0022  0.0721  0.3150  0.0618  0.14
Pachmann 1927   31  0.4516  0.0137  0.0736  0.1819  0.437  0.28
Paderewski 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Perlemuter 1992   20  0.4814  0.0136  0.0831  0.2153  0.0532  0.10
Pierdomenico 2008   34  0.4518  0.0133  0.0828  0.2428  0.268  0.25
Poblocka 1999   27  0.4770  0.0023  0.0723  0.3085  0.0426  0.11
Rabcewiczowa 1932   15  0.5060  0.0029  0.0619  0.3133  0.209  0.25
Rachmaninoff 1923   78  0.3448  0.0074  0.0379  0.0388  0.0289  0.02
Rangell 2001   18  0.4917  0.0110  0.0722  0.3026  0.305  0.30
Richter 1976   50  0.4356  0.0067  0.0471  0.0471  0.0456  0.04
Rosen 1989   32  0.4590  0.0039  0.0539  0.1484  0.0344  0.06
Rosenthal 1930   65  0.3884  0.0080  0.0386  0.0373  0.0385  0.03
Rosenthal 1931   88  0.2879  0.0087  0.0380  0.0381  0.0382  0.03
Rosenthal 1931b   82  0.3072  0.0085  0.0384  0.0384  0.0291  0.02
Rosenthal 1931c   52  0.4253  0.0048  0.0551  0.0547  0.0552  0.05
Rosenthal 1931d   81  0.3288  0.0086  0.0470  0.0481  0.0388  0.03
Rossi 2007   73  0.3733  0.0061  0.0461  0.0434  0.2137  0.09
Rubinstein 1939   85  0.2950  0.0084  0.0388  0.0377  0.0476  0.03
Rubinstein 1952   57  0.4168  0.0069  0.0459  0.0476  0.0468  0.04
Rubinstein 1966   43  0.4439  0.0050  0.0552  0.0568  0.0458  0.04
Schilhawsky 1960   30  0.4622  0.0128  0.0734  0.1959  0.0533  0.10
Shebanova 2002   22  0.4776  0.0011  0.0824  0.2849  0.0720  0.14
Smith 1975   24  0.4723  0.0126  0.0617  0.3266  0.0427  0.11
Sokolov 2002   38  0.4444  0.0066  0.0468  0.0478  0.0373  0.03
Sztompka 1959   3  0.572  0.162  0.293  0.5725  0.312  0.42
Tomsic 1995   58  0.4046  0.0072  0.0473  0.0451  0.0648  0.05
Uninsky 1932   42  0.4437  0.0043  0.0441  0.1171  0.0442  0.07
Uninsky 1971   28  0.4755  0.0031  0.0627  0.2556  0.0624  0.12
Wasowski 1980   33  0.4540  0.0038  0.0538  0.1580  0.0439  0.08
Zak 1937   71  0.3771  0.0077  0.0463  0.0485  0.0378  0.03
Zak 1951   72  0.3754  0.0075  0.0375  0.0382  0.0380  0.03
Average   1  0.641  0.431  0.431  0.7479  0.0317  0.15
Random 1   91  -0.0858  0.0091  0.0191  0.0160  0.0490  0.02
Random 2   89  -0.0180  0.0089  0.0289  0.0224  0.3040  0.08
Random 3   90  -0.0385  0.0090  0.0190  0.0136  0.1186  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).