Richter 1976

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   53  0.4384  0.0073  0.0463  0.0471  0.0373  0.03
Anderszewski 2003   47  0.4427  0.0117  0.0724  0.3126  0.2722  0.29
Ashkenazy 1981   20  0.5316  0.0126  0.0913  0.3948  0.0535  0.14
Bacha 2000   72  0.3385  0.0080  0.0380  0.0356  0.0467  0.03
Badura 1965   69  0.3528  0.0150  0.0549  0.0543  0.1245  0.08
Barbosa 1983   56  0.4260  0.0055  0.0465  0.0469  0.0460  0.04
Biret 1990   73  0.3261  0.0079  0.0287  0.0279  0.0389  0.02
Blet 2003   21  0.5342  0.0042  0.0538  0.1539  0.1633  0.15
Block 1995   9  0.5810  0.0319  0.0621  0.3318  0.3614  0.34
Blumental 1952   84  0.1768  0.0085  0.0379  0.0385  0.0286  0.02
Boshniakovich 1969   31  0.4848  0.0043  0.0544  0.1145  0.0646  0.08
Brailowsky 1960   38  0.4659  0.0040  0.0642  0.1352  0.0542  0.08
Bunin 1987   25  0.5013  0.0110  0.087  0.4229  0.2911  0.35
Bunin 1987b   26  0.5029  0.0011  0.108  0.4129  0.2912  0.34
Chiu 1999   41  0.4631  0.0044  0.0643  0.1239  0.1832  0.15
Cohen 1997   68  0.3662  0.0061  0.0457  0.0448  0.0655  0.05
Cortot 1951   64  0.3886  0.0074  0.0373  0.0367  0.0479  0.03
Csalog 1996   36  0.4823  0.0129  0.0633  0.1916  0.4919  0.31
Czerny 1949   79  0.2979  0.0083  0.0464  0.0486  0.0272  0.03
Czerny 1990   8  0.5814  0.0121  0.1212  0.3927  0.2420  0.31
Duchoud 2007   32  0.4856  0.0038  0.0536  0.1653  0.0541  0.09
Ezaki 2006   48  0.4382  0.0058  0.0372  0.0382  0.0282  0.02
Falvay 1989   18  0.5443  0.0031  0.0630  0.2339  0.1231  0.17
Farrell 1958   74  0.3163  0.0081  0.0381  0.0386  0.0284  0.02
Ferenczy 1958   65  0.3787  0.0066  0.0383  0.0345  0.0754  0.05
Fliere 1977   1  0.642  0.112  0.141  0.5922  0.392  0.48
Fou 1978   22  0.5335  0.0028  0.0828  0.2640  0.1826  0.22
Francois 1956   63  0.3857  0.0075  0.0385  0.0379  0.0380  0.03
Friedman 1923   87  0.1124  0.0187  0.0371  0.0367  0.0481  0.03
Friedman 1923b   86  0.1147  0.0086  0.0384  0.0371  0.0475  0.03
Friedman 1930   81  0.2612  0.0257  0.0367  0.0377  0.0370  0.03
Garcia 2007   66  0.3736  0.0048  0.0745  0.079  0.6227  0.21
Garcia 2007b   85  0.1632  0.0082  0.0376  0.0352  0.0566  0.04
Gierzod 1998   70  0.3465  0.0076  0.0370  0.0380  0.0285  0.02
Gornostaeva 1994   49  0.4358  0.0071  0.0454  0.0485  0.0276  0.03
Groot 1988   2  0.6134  0.008  0.116  0.4230  0.2715  0.34
Harasiewicz 1955   16  0.554  0.083  0.124  0.4517  0.366  0.40
Hatto 1993   62  0.3818  0.0134  0.0532  0.2032  0.2029  0.20
Hatto 1997   76  0.3083  0.0053  0.0461  0.0473  0.0371  0.03
Horowitz 1949   27  0.5011  0.0216  0.0918  0.3616  0.369  0.36
Indjic 1988   67  0.3664  0.0035  0.0537  0.1642  0.1334  0.14
Kapell 1951   14  0.551  0.161  0.169  0.4132  0.3010  0.35
Kissin 1993   6  0.609  0.0312  0.0817  0.3728  0.3113  0.34
Kushner 1989   3  0.6115  0.0120  0.0823  0.3325  0.3018  0.31
Luisada 1991   51  0.4346  0.0064  0.0460  0.0471  0.0457  0.04
Lushtak 2004   23  0.5270  0.0025  0.0715  0.3739  0.1525  0.24
Malcuzynski 1961   12  0.5650  0.0022  0.0826  0.2950  0.0536  0.12
Magaloff 1978   4  0.6019  0.017  0.1016  0.3724  0.2717  0.32
Magin 1975   17  0.556  0.069  0.105  0.439  0.484  0.45
Michalowski 1933   78  0.3037  0.0056  0.0368  0.0354  0.0559  0.04
Milkina 1970   46  0.4451  0.0052  0.0548  0.0547  0.0652  0.05
Mohovich 1999   19  0.5352  0.0032  0.0829  0.2554  0.0538  0.11
Moravec 1969   43  0.4577  0.0070  0.0459  0.0470  0.0456  0.04
Morozova 2008   29  0.4954  0.0037  0.0531  0.2063  0.0440  0.09
Neighaus 1950   58  0.4044  0.0060  0.0550  0.0584  0.0363  0.04
Niedzielski 1931   37  0.4721  0.0124  0.0825  0.314  0.508  0.39
Ohlsson 1999   39  0.4620  0.0149  0.0746  0.0774  0.0453  0.05
Osinska 1989   44  0.4438  0.0069  0.0369  0.0369  0.0468  0.03
Pachmann 1927   28  0.5017  0.0127  0.0819  0.3418  0.475  0.40
Paderewski 1930   34  0.4840  0.0036  0.0534  0.1745  0.0737  0.11
Perlemuter 1992   5  0.603  0.104  0.133  0.4611  0.493  0.47
Pierdomenico 2008   30  0.4949  0.0039  0.0735  0.1726  0.2328  0.20
Poblocka 1999   15  0.5555  0.0023  0.0911  0.4033  0.2121  0.29
Rabcewiczowa 1932   82  0.2578  0.0084  0.0286  0.0284  0.0283  0.02
Rachmaninoff 1923   57  0.4171  0.0030  0.0639  0.1563  0.0443  0.08
Rangell 2001   59  0.4041  0.0063  0.0462  0.0471  0.0377  0.03
Richter 1976   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosen 1989   50  0.4326  0.0168  0.0382  0.0362  0.0474  0.03
Rosenthal 1930   61  0.3980  0.0054  0.0456  0.0439  0.1449  0.07
Rosenthal 1931   71  0.3366  0.0065  0.0377  0.0351  0.0561  0.04
Rosenthal 1931b   80  0.2975  0.0077  0.0378  0.0349  0.0564  0.04
Rosenthal 1931c   60  0.4072  0.0062  0.0366  0.0348  0.0565  0.04
Rosenthal 1931d   77  0.3076  0.0078  0.0374  0.0369  0.0378  0.03
Rossi 2007   75  0.3188  0.0072  0.0458  0.0430  0.2039  0.09
Rubinstein 1939   83  0.237  0.065  0.1141  0.1465  0.0448  0.07
Rubinstein 1952   40  0.4639  0.0051  0.0551  0.0542  0.1247  0.08
Rubinstein 1966   55  0.4253  0.0067  0.0375  0.0370  0.0469  0.03
Schilhawsky 1960   35  0.4845  0.0018  0.0920  0.3424  0.3316  0.33
Shebanova 2002   13  0.565  0.0713  0.0922  0.3339  0.2224  0.27
Smith 1975   42  0.4573  0.0059  0.0455  0.0460  0.0458  0.04
Sokolov 2002   10  0.588  0.056  0.0910  0.4018  0.397  0.39
Sztompka 1959   24  0.5022  0.0141  0.0540  0.1569  0.0444  0.08
Tomsic 1995   11  0.5725  0.0114  0.0714  0.3930  0.2023  0.28
Uninsky 1932   52  0.4333  0.0045  0.0453  0.0449  0.0562  0.04
Uninsky 1971   54  0.4381  0.0046  0.0552  0.0548  0.0750  0.06
Wasowski 1980   7  0.5830  0.0015  0.092  0.511  0.641  0.57
Zak 1937   45  0.4489  0.0047  0.0647  0.0655  0.0551  0.05
Zak 1951   33  0.4867  0.0033  0.0727  0.2843  0.1330  0.19
Random 1   89  -0.0790  0.0089  0.0189  0.0161  0.0387  0.02
Random 2   90  -0.0869  0.0090  0.0190  0.0186  0.0290  0.01
Random 3   88  0.0074  0.0088  0.0188  0.0151  0.0388  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).