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   48  0.3040  0.0045  0.0745  0.1426  0.4339  0.25
Ashkenazy 1981   38  0.3377  0.0051  0.0747  0.0748  0.0857  0.07
Bacha 2000   41  0.3219  0.0148  0.0553  0.0532  0.2745  0.12
Badura 1965   39  0.3218  0.0147  0.0749  0.0727  0.4343  0.17
Barbosa 1983   16  0.398  0.0224  0.0729  0.3722  0.4328  0.40
Biret 1990   64  0.2478  0.0080  0.0287  0.0252  0.0688  0.03
Blet 2003   18  0.3922  0.0030  0.0734  0.3434  0.3933  0.36
Block 1995   82  0.1973  0.0069  0.0375  0.0380  0.0386  0.03
Blumental 1952   33  0.3439  0.0035  0.0928  0.3821  0.5024  0.44
Boshniakovich 1969   66  0.2362  0.0065  0.0465  0.0460  0.0667  0.05
Brailowsky 1960   31  0.3524  0.0036  0.0738  0.2617  0.5431  0.37
Bunin 1987   52  0.3068  0.0056  0.0748  0.0740  0.1651  0.11
Bunin 1987b   51  0.3043  0.0055  0.0467  0.0442  0.1456  0.07
Chiu 1999   11  0.4157  0.0037  0.0637  0.2753  0.0744  0.14
Cohen 1997   19  0.3929  0.0021  0.0917  0.5111  0.5915  0.55
Cortot 1951   86  0.1681  0.0081  0.0289  0.0269  0.0390  0.02
Csalog 1996   69  0.2269  0.0079  0.0382  0.0349  0.0766  0.05
Czerny 1949   34  0.3463  0.0039  0.0839  0.2617  0.7026  0.43
Czerny 1990   57  0.2753  0.0049  0.0554  0.0540  0.2748  0.12
Duchoud 2007   58  0.2770  0.0063  0.0473  0.0458  0.0577  0.04
Ezaki 2006   2  0.523  0.052  0.202  0.713  0.761  0.73
Falvay 1989   15  0.4021  0.0133  0.0733  0.3415  0.4330  0.38
Farrell 1958   27  0.366  0.0325  0.0836  0.2819  0.4832  0.37
Ferenczy 1958   25  0.3615  0.0118  0.0822  0.476  0.836  0.62
Fliere 1977   45  0.3158  0.0058  0.0464  0.0479  0.0470  0.04
Fou 1978   10  0.4151  0.0028  0.0923  0.4628  0.3927  0.42
Francois 1956   61  0.2554  0.0054  0.0463  0.0433  0.3849  0.12
Friedman 1923   60  0.2630  0.0060  0.0374  0.0361  0.0678  0.04
Friedman 1923b   59  0.2614  0.0161  0.0552  0.0561  0.0668  0.05
Friedman 1930   71  0.2174  0.0085  0.0383  0.0379  0.0484  0.03
Garcia 2007   75  0.2055  0.0042  0.0842  0.2042  0.2042  0.20
Garcia 2007b   72  0.2164  0.0072  0.0459  0.0448  0.0858  0.06
Gierzod 1998   35  0.3426  0.0017  0.0818  0.5114  0.6411  0.57
Gornostaeva 1994   47  0.3045  0.0043  0.0744  0.1630  0.3940  0.25
Groot 1988   12  0.4134  0.0011  0.118  0.6025  0.3920  0.48
Harasiewicz 1955   17  0.3965  0.0026  0.0721  0.4927  0.3229  0.40
Hatto 1993   32  0.3441  0.0023  0.0725  0.4534  0.2834  0.35
Hatto 1997   6  0.4323  0.009  0.1410  0.598  0.5610  0.57
Horowitz 1949   76  0.2086  0.0077  0.0386  0.0352  0.0762  0.05
Indjic 1988   42  0.3244  0.0034  0.0631  0.3536  0.2737  0.31
Kapell 1951   81  0.1928  0.0070  0.0461  0.0450  0.0760  0.05
Kissin 1993   78  0.2079  0.0075  0.0458  0.0464  0.0665  0.05
Kushner 1989   55  0.2882  0.0066  0.0468  0.0479  0.0473  0.04
Luisada 1991   24  0.3717  0.0129  0.0730  0.3637  0.2836  0.32
Lushtak 2004   73  0.2187  0.0083  0.0385  0.0374  0.0485  0.03
Malcuzynski 1961   29  0.3532  0.0041  0.0840  0.2353  0.0646  0.12
Magaloff 1978   79  0.1937  0.0073  0.0469  0.0482  0.0380  0.03
Magin 1975   85  0.1775  0.0084  0.0379  0.0375  0.0481  0.03
Michalowski 1933   80  0.1946  0.0074  0.0556  0.0560  0.0664  0.05
Milkina 1970   9  0.4127  0.0015  0.1415  0.558  0.658  0.60
Mohovich 1999   14  0.4012  0.0110  0.159  0.6012  0.609  0.60
Moravec 1969   37  0.339  0.0222  0.1020  0.4919  0.4621  0.47
Morozova 2008   4  0.4566  0.0013  0.1012  0.5816  0.4717  0.52
Neighaus 1950   8  0.422  0.104  0.217  0.6313  0.5013  0.56
Niedzielski 1931   70  0.2183  0.0064  0.0471  0.0470  0.0472  0.04
Ohlsson 1999   53  0.2972  0.0067  0.0470  0.0462  0.0476  0.04
Osinska 1989   87  0.1548  0.0082  0.0378  0.0367  0.0479  0.03
Pachmann 1927   65  0.2442  0.0076  0.0381  0.0352  0.0763  0.05
Paderewski 1930   83  0.1988  0.0078  0.0377  0.0370  0.0575  0.04
Perlemuter 1992   56  0.2852  0.0062  0.0462  0.0463  0.0471  0.04
Pierdomenico 2008   77  0.2076  0.0071  0.0466  0.0448  0.0759  0.05
Poblocka 1999   26  0.3611  0.0232  0.0832  0.3429  0.3535  0.34
Rabcewiczowa 1932   28  0.3525  0.0016  0.0919  0.4920  0.6512  0.56
Rachmaninoff 1923   23  0.3735  0.0031  0.0827  0.4124  0.4625  0.43
Rangell 2001   36  0.3438  0.0020  0.0824  0.4511  0.4922  0.47
Richter 1976   84  0.1984  0.0087  0.0384  0.0372  0.0482  0.03
Rosen 1989   46  0.3136  0.0038  0.0735  0.2942  0.1541  0.21
Rosenthal 1930   5  0.457  0.023  0.183  0.668  0.714  0.68
Rosenthal 1931   21  0.3810  0.027  0.125  0.658  0.763  0.70
Rosenthal 1931b   20  0.3833  0.008  0.156  0.657  0.802  0.72
Rosenthal 1931c   40  0.3249  0.0027  0.0826  0.4312  0.6118  0.51
Rosenthal 1931d   44  0.3213  0.0112  0.1014  0.557  0.707  0.62
Rossi 2007   90  -0.0389  0.0090  0.0190  0.0190  0.0191  0.01
Rubinstein 1939   50  0.3067  0.0050  0.0651  0.0640  0.1254  0.08
Rubinstein 1952   68  0.2331  0.0052  0.0650  0.0643  0.1155  0.08
Rubinstein 1966   13  0.4150  0.0014  0.1211  0.5917  0.4516  0.52
Schilhawsky 1960   74  0.2090  0.0088  0.0376  0.0373  0.0483  0.03
Shebanova 2002   54  0.2980  0.0046  0.0746  0.0746  0.1253  0.09
Smith 1975   22  0.3885  0.0044  0.0843  0.1718  0.5038  0.29
Sokolov 2002   49  0.3016  0.0159  0.0555  0.0539  0.2152  0.10
Sztompka 1959   7  0.435  0.045  0.2613  0.5718  0.5314  0.55
Tomsic 1995   30  0.3559  0.0019  0.0816  0.5210  0.4819  0.50
Uninsky 1932   43  0.3247  0.0040  0.0741  0.2256  0.0650  0.11
Uninsky 1971   3  0.474  0.046  0.224  0.655  0.605  0.62
Wasowski 1980   67  0.2391  0.0068  0.0472  0.0468  0.0569  0.04
Zak 1937   63  0.2460  0.0057  0.0460  0.0450  0.0761  0.05
Zak 1951   62  0.2420  0.0153  0.0457  0.0457  0.0574  0.04
Average   1  0.561  0.501  0.491  0.7733  0.2523  0.44
Random 1   89  0.0071  0.0089  0.0288  0.0258  0.0487  0.03
Random 2   88  0.1056  0.0086  0.0380  0.039  0.4947  0.12
Random 3   91  -0.1161  0.0091  0.0191  0.0165  0.0389  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).