Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   31  0.4727  0.0037  0.0636  0.1969  0.0440  0.09
Anderszewski 2003   39  0.4545  0.0018  0.0929  0.3148  0.0533  0.12
Ashkenazy 1981   19  0.5146  0.0023  0.0717  0.4367  0.0431  0.13
Bacha 2000   77  0.3217  0.0081  0.0287  0.0281  0.0389  0.02
Badura 1965   45  0.4447  0.0013  0.1024  0.3732  0.3314  0.35
Barbosa 1983   43  0.4448  0.0040  0.0639  0.1648  0.0638  0.10
Biret 1990   51  0.4249  0.0057  0.0550  0.0575  0.0471  0.04
Blet 2003   33  0.4750  0.0042  0.0540  0.1563  0.0443  0.08
Block 1995   70  0.359  0.0061  0.0468  0.0484  0.0284  0.03
Blumental 1952   75  0.3328  0.0065  0.0376  0.0351  0.0569  0.04
Boshniakovich 1969   21  0.5051  0.0033  0.0733  0.2465  0.0537  0.11
Brailowsky 1960   62  0.3952  0.0075  0.0470  0.0454  0.0557  0.04
Bunin 1987   1  0.991  1.001  0.991  1.001  1.001  1.00
Bunin 1987b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Chiu 1999   63  0.3910  0.0052  0.0560  0.0573  0.0458  0.04
Cohen 1997   87  0.2253  0.0087  0.0374  0.0370  0.0485  0.03
Cortot 1951   66  0.3854  0.0051  0.0555  0.0549  0.0654  0.05
Csalog 1996   81  0.315  0.0077  0.0384  0.0383  0.0381  0.03
Czerny 1949   10  0.5414  0.0011  0.1210  0.5127  0.369  0.43
Czerny 1990   30  0.4818  0.0046  0.0552  0.0581  0.0370  0.04
Duchoud 2007   36  0.4611  0.0034  0.0730  0.3128  0.3216  0.31
Ezaki 2006   11  0.533  0.0021  0.0715  0.4567  0.0430  0.13
Falvay 1989   59  0.4055  0.0074  0.0463  0.0473  0.0459  0.04
Farrell 1958   60  0.4029  0.0070  0.0469  0.0473  0.0379  0.03
Ferenczy 1958   27  0.4856  0.0039  0.0638  0.1616  0.4218  0.26
Fliere 1977   9  0.5457  0.0015  0.129  0.5164  0.0428  0.14
Fou 1978   55  0.4019  0.0072  0.0472  0.0474  0.0462  0.04
Francois 1956   38  0.4512  0.0054  0.0649  0.0672  0.0373  0.04
Friedman 1923   84  0.3158  0.0049  0.0558  0.0534  0.1939  0.10
Friedman 1923b   78  0.3259  0.0047  0.0553  0.0536  0.1641  0.09
Friedman 1930   57  0.404  0.0017  0.0822  0.3919  0.4410  0.41
Garcia 2007   73  0.3430  0.0068  0.0382  0.0379  0.0383  0.03
Garcia 2007b   71  0.3531  0.0063  0.0551  0.0560  0.0474  0.04
Gierzod 1998   37  0.4660  0.0053  0.0554  0.0573  0.0367  0.04
Gornostaeva 1994   29  0.4820  0.0036  0.0737  0.1663  0.0444  0.08
Groot 1988   15  0.5232  0.0012  0.1123  0.3858  0.0434  0.12
Harasiewicz 1955   24  0.5033  0.008  0.1212  0.4943  0.1517  0.27
Hatto 1993   53  0.4134  0.0035  0.0735  0.2176  0.0442  0.09
Hatto 1997   34  0.4761  0.0020  0.0916  0.4354  0.0526  0.15
Horowitz 1949   12  0.536  0.0022  0.0819  0.4123  0.498  0.45
Indjic 1988   48  0.4335  0.0027  0.0731  0.2946  0.0825  0.15
Kapell 1951   4  0.5821  0.006  0.117  0.5620  0.397  0.47
Kissin 1993   61  0.3962  0.0073  0.0462  0.0473  0.0464  0.04
Kushner 1989   42  0.4463  0.0056  0.0561  0.0588  0.0280  0.03
Luisada 1991   44  0.4422  0.0062  0.0557  0.0565  0.0550  0.05
Lushtak 2004   7  0.5564  0.005  0.123  0.6024  0.424  0.50
Malcuzynski 1961   6  0.5565  0.0010  0.146  0.5732  0.2713  0.39
Magaloff 1978   40  0.4566  0.0028  0.0641  0.1378  0.0347  0.06
Magin 1975   50  0.437  0.0041  0.0643  0.1154  0.0546  0.07
Michalowski 1933   65  0.3836  0.0030  0.0728  0.3230  0.3315  0.32
Milkina 1970   68  0.3767  0.0078  0.0379  0.0369  0.0563  0.04
Mohovich 1999   32  0.4723  0.0045  0.0545  0.1065  0.0449  0.06
Moravec 1969   76  0.3224  0.0084  0.0380  0.0388  0.0375  0.03
Morozova 2008   26  0.4937  0.0026  0.0825  0.3442  0.1221  0.20
Neighaus 1950   13  0.5268  0.0019  0.1014  0.4765  0.0527  0.15
Niedzielski 1931   72  0.3469  0.0066  0.0378  0.0384  0.0378  0.03
Ohlsson 1999   25  0.4970  0.0031  0.0726  0.3364  0.0436  0.11
Osinska 1989   56  0.4071  0.0069  0.0466  0.0466  0.0556  0.04
Pachmann 1927   41  0.4572  0.0044  0.0544  0.1014  0.4919  0.22
Paderewski 1930   54  0.418  0.0060  0.0646  0.0658  0.0452  0.05
Perlemuter 1992   28  0.4873  0.0038  0.0634  0.2250  0.0635  0.11
Pierdomenico 2008   83  0.3138  0.0082  0.0381  0.0389  0.0290  0.02
Poblocka 1999   20  0.5115  0.0025  0.0821  0.3948  0.0623  0.15
Rabcewiczowa 1932   58  0.4074  0.0059  0.0465  0.0470  0.0461  0.04
Rachmaninoff 1923   17  0.5139  0.0014  0.0911  0.5025  0.3112  0.39
Rangell 2001   69  0.3613  0.0067  0.0385  0.0376  0.0386  0.03
Richter 1976   14  0.5216  0.009  0.1413  0.4912  0.486  0.48
Rosen 1989   67  0.3775  0.0071  0.0464  0.0468  0.0468  0.04
Rosenthal 1930   47  0.4376  0.0050  0.0647  0.0627  0.3329  0.14
Rosenthal 1931   86  0.3077  0.0079  0.0377  0.0351  0.0565  0.04
Rosenthal 1931b   85  0.3140  0.0076  0.0471  0.0462  0.0472  0.04
Rosenthal 1931c   64  0.3841  0.0064  0.0467  0.0446  0.0655  0.05
Rosenthal 1931d   80  0.3242  0.0080  0.0375  0.0365  0.0387  0.03
Rossi 2007   88  0.2078  0.0088  0.0473  0.0479  0.0376  0.03
Rubinstein 1939   82  0.3125  0.0086  0.0386  0.0365  0.0477  0.03
Rubinstein 1952   79  0.3243  0.0085  0.0288  0.0272  0.0488  0.03
Rubinstein 1966   74  0.3479  0.0083  0.0383  0.0378  0.0482  0.03
Schilhawsky 1960   5  0.5826  0.003  0.294  0.5811  0.542  0.56
Shebanova 2002   52  0.412  0.0058  0.0559  0.0573  0.0466  0.04
Smith 1975   46  0.4480  0.0048  0.0556  0.0567  0.0460  0.04
Sokolov 2002   8  0.5581  0.007  0.138  0.5215  0.445  0.48
Sztompka 1959   23  0.5082  0.0029  0.0627  0.3250  0.0724  0.15
Tomsic 1995   35  0.4644  0.0055  0.0648  0.0663  0.0551  0.05
Uninsky 1932   18  0.5183  0.0016  0.0818  0.4325  0.3711  0.40
Uninsky 1971   3  0.6084  0.004  0.325  0.5713  0.463  0.51
Wasowski 1980   49  0.4385  0.0043  0.0642  0.1179  0.0445  0.07
Zak 1937   22  0.5086  0.0032  0.0632  0.2960  0.0532  0.12
Zak 1951   16  0.5187  0.0024  0.0920  0.4148  0.0722  0.17
Average   2  0.6588  0.002  0.282  0.7149  0.0720  0.22
Random 1   91  -0.0389  0.0090  0.0190  0.0113  0.3648  0.06
Random 2   89  -0.0190  0.0089  0.0189  0.0128  0.2653  0.05
Random 3   90  -0.0391  0.0091  0.0191  0.0146  0.0591  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).