Richter 1976

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   49  0.4162  0.0063  0.0367  0.0349  0.0573  0.04
Anderszewski 2003   17  0.538  0.026  0.1210  0.6721  0.508  0.58
Ashkenazy 1981   25  0.4914  0.0135  0.0741  0.1822  0.3530  0.25
Bacha 2000   62  0.3750  0.0073  0.0378  0.0352  0.0478  0.03
Badura 1965   61  0.3783  0.0059  0.0365  0.0350  0.0760  0.05
Barbosa 1983   9  0.5628  0.0015  0.1713  0.6030  0.3417  0.45
Biret 1990   28  0.4647  0.0039  0.0738  0.2556  0.0545  0.11
Blet 2003   57  0.3937  0.0053  0.0453  0.0435  0.1753  0.08
Block 1995   45  0.4274  0.0045  0.0744  0.1440  0.1540  0.14
Blumental 1952   54  0.3951  0.0048  0.0549  0.0573  0.0476  0.04
Boshniakovich 1969   22  0.5084  0.0018  0.1217  0.5925  0.3318  0.44
Brailowsky 1960   43  0.4363  0.0043  0.0543  0.1643  0.1537  0.15
Bunin 1987   71  0.3364  0.0066  0.0464  0.0469  0.0477  0.04
Bunin 1987b   73  0.3256  0.0057  0.0463  0.0456  0.0568  0.04
Chiu 1999   59  0.3834  0.0056  0.0369  0.0346  0.0757  0.05
Cohen 1997   80  0.2777  0.0083  0.0381  0.0378  0.0385  0.03
Cortot 1951   72  0.3323  0.0023  0.1233  0.2927  0.3724  0.33
Csalog 1996   48  0.4245  0.0044  0.0545  0.1254  0.0552  0.08
Czerny 1949   8  0.574  0.074  0.188  0.6721  0.645  0.65
Czerny 1990   6  0.585  0.053  0.222  0.7217  0.672  0.69
Duchoud 2007   78  0.2965  0.0081  0.0385  0.0353  0.0674  0.04
Ezaki 2006   4  0.5940  0.0011  0.125  0.6921  0.517  0.59
Falvay 1989   20  0.5142  0.0032  0.1027  0.3848  0.0638  0.15
Farrell 1958   33  0.4622  0.0024  0.1522  0.5123  0.4116  0.46
Ferenczy 1958   69  0.3486  0.0082  0.0287  0.0265  0.0583  0.03
Fliere 1977   21  0.5159  0.0026  0.1023  0.4472  0.0536  0.15
Fou 1978   19  0.5238  0.0025  0.1021  0.5135  0.2422  0.35
Francois 1956   74  0.3178  0.0080  0.0376  0.0366  0.0489  0.03
Friedman 1923   86  0.2421  0.0060  0.0371  0.0344  0.0961  0.05
Friedman 1923b   85  0.2520  0.0154  0.0454  0.0444  0.1155  0.07
Friedman 1930   82  0.2627  0.0069  0.0370  0.0374  0.0481  0.03
Garcia 2007   75  0.3179  0.0070  0.0373  0.0366  0.0484  0.03
Garcia 2007b   65  0.3560  0.0047  0.0647  0.0654  0.0656  0.06
Gierzod 1998   5  0.5939  0.0012  0.157  0.6831  0.3413  0.48
Gornostaeva 1994   37  0.4569  0.0041  0.0839  0.2344  0.0841  0.14
Groot 1988   52  0.3930  0.0037  0.0737  0.2674  0.0449  0.10
Harasiewicz 1955   12  0.5518  0.0113  0.1319  0.5634  0.4114  0.48
Hatto 1993   68  0.3487  0.0067  0.0455  0.0479  0.0386  0.03
Hatto 1997   66  0.3557  0.0071  0.0374  0.0383  0.0382  0.03
Horowitz 1949   84  0.2570  0.0085  0.0384  0.0376  0.0380  0.03
Indjic 1988   67  0.3480  0.0072  0.0462  0.0474  0.0469  0.04
Kapell 1951   7  0.582  0.202  0.283  0.7210  0.653  0.68
Kissin 1993   2  0.6015  0.017  0.134  0.707  0.721  0.71
Kushner 1989   10  0.5610  0.028  0.119  0.6732  0.3511  0.48
Luisada 1991   50  0.4071  0.0065  0.0458  0.0462  0.0462  0.04
Lushtak 2004   34  0.4617  0.0134  0.0930  0.3344  0.1331  0.21
Malcuzynski 1961   18  0.5219  0.0114  0.1516  0.5930  0.3912  0.48
Magaloff 1978   26  0.4775  0.0028  0.0926  0.4141  0.1827  0.27
Magin 1975   24  0.5012  0.0110  0.1124  0.4230  0.3421  0.38
Michalowski 1933   81  0.2654  0.0078  0.0452  0.048  0.5339  0.15
Milkina 1970   23  0.5052  0.0021  0.1320  0.5253  0.0633  0.18
Mohovich 1999   39  0.4576  0.0040  0.0640  0.2074  0.0451  0.09
Moravec 1969   35  0.4658  0.0031  0.0831  0.3152  0.0735  0.15
Morozova 2008   16  0.539  0.0216  0.156  0.696  0.614  0.65
Neighaus 1950   47  0.4241  0.0052  0.0457  0.0425  0.3644  0.12
Niedzielski 1931   70  0.3343  0.0074  0.0380  0.0343  0.1058  0.05
Ohlsson 1999   38  0.4529  0.0046  0.0746  0.0746  0.0854  0.07
Osinska 1989   27  0.4761  0.0033  0.1032  0.3056  0.0642  0.13
Pachmann 1927   51  0.4053  0.0050  0.0550  0.0514  0.5134  0.16
Paderewski 1930   76  0.3048  0.0076  0.0375  0.0327  0.2750  0.09
Perlemuter 1992   83  0.2588  0.0088  0.0383  0.0382  0.0290  0.02
Pierdomenico 2008   63  0.3672  0.0077  0.0459  0.0464  0.0466  0.04
Poblocka 1999   15  0.547  0.029  0.1112  0.6225  0.4510  0.53
Rabcewiczowa 1932   60  0.3866  0.0049  0.0648  0.0654  0.0559  0.05
Rachmaninoff 1923   56  0.3967  0.0055  0.0461  0.0452  0.0565  0.04
Rangell 2001   31  0.4625  0.0030  0.1136  0.2632  0.3226  0.29
Richter 1976   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosen 1989   40  0.4431  0.0051  0.0551  0.0577  0.0375  0.04
Rosenthal 1930   58  0.3955  0.0064  0.0372  0.0333  0.3146  0.10
Rosenthal 1931   77  0.2973  0.0079  0.0377  0.0351  0.0570  0.04
Rosenthal 1931b   87  0.2489  0.0086  0.0289  0.0276  0.0487  0.03
Rosenthal 1931c   79  0.2890  0.0084  0.0382  0.0372  0.0488  0.03
Rosenthal 1931d   88  0.2281  0.0087  0.0286  0.0280  0.0391  0.02
Rossi 2007   64  0.3585  0.0075  0.0379  0.0347  0.0664  0.04
Rubinstein 1939   36  0.4568  0.0042  0.0542  0.1745  0.0943  0.12
Rubinstein 1952   14  0.5446  0.0020  0.1918  0.5832  0.3219  0.43
Rubinstein 1966   13  0.5444  0.0019  0.1515  0.5938  0.2820  0.41
Schilhawsky 1960   41  0.446  0.0322  0.1228  0.3833  0.3123  0.34
Shebanova 2002   53  0.3982  0.0068  0.0460  0.0465  0.0471  0.04
Smith 1975   32  0.4635  0.0038  0.0534  0.2931  0.3225  0.30
Sokolov 2002   55  0.3949  0.0061  0.0368  0.0354  0.0663  0.04
Sztompka 1959   3  0.603  0.145  0.2411  0.638  0.666  0.64
Tomsic 1995   30  0.4611  0.0236  0.0835  0.2834  0.2528  0.26
Uninsky 1932   29  0.4616  0.0127  0.0925  0.4221  0.5315  0.47
Uninsky 1971   11  0.5513  0.0117  0.1314  0.6023  0.489  0.54
Wasowski 1980   42  0.4436  0.0029  0.0929  0.3745  0.1032  0.19
Zak 1937   44  0.4332  0.0062  0.0456  0.0472  0.0467  0.04
Zak 1951   46  0.4226  0.0058  0.0366  0.0371  0.0479  0.03
Average   1  0.661  0.291  0.291  0.7948  0.0829  0.25
Random 1   90  0.0033  0.0090  0.0290  0.029  0.4747  0.10
Random 2   89  0.0091  0.0091  0.0191  0.0138  0.1472  0.04
Random 3   91  -0.0224  0.0089  0.0288  0.025  0.5348  0.10

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).