Richter 1976

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   75  0.3067  0.0080  0.0480  0.0487  0.0383  0.03
Anderszewski 2003   52  0.3840  0.0041  0.0740  0.2137  0.2941  0.25
Ashkenazy 1981   7  0.545  0.0110  0.1617  0.618  0.6714  0.64
Bacha 2000   79  0.2965  0.0075  0.0482  0.0458  0.0576  0.04
Badura 1965   71  0.3274  0.0068  0.0564  0.0541  0.1357  0.08
Barbosa 1983   29  0.4566  0.0027  0.0926  0.4834  0.2631  0.35
Biret 1990   73  0.3075  0.0076  0.0473  0.0471  0.0481  0.04
Blet 2003   42  0.3943  0.0063  0.0560  0.0541  0.2054  0.10
Block 1995   22  0.4856  0.0023  0.1121  0.5611  0.5919  0.57
Blumental 1952   66  0.3485  0.0064  0.0651  0.0647  0.0763  0.06
Boshniakovich 1969   18  0.5070  0.0013  0.1410  0.7012  0.6312  0.66
Brailowsky 1960   74  0.3069  0.0073  0.0654  0.0662  0.0566  0.05
Bunin 1987   68  0.3371  0.0047  0.0847  0.0835  0.2247  0.13
Bunin 1987b   70  0.3273  0.0042  0.0842  0.2032  0.3240  0.25
Chiu 1999   17  0.5032  0.0025  0.0827  0.4812  0.5223  0.50
Cohen 1997   81  0.2661  0.0084  0.0385  0.0375  0.0385  0.03
Cortot 1951   77  0.2955  0.0062  0.0566  0.0546  0.0960  0.07
Csalog 1996   31  0.4453  0.0036  0.0734  0.3018  0.4232  0.35
Czerny 1949   78  0.2924  0.0074  0.0475  0.0449  0.0772  0.05
Czerny 1990   5  0.572  0.192  0.363  0.824  0.831  0.82
Duchoud 2007   50  0.3849  0.0049  0.0650  0.0613  0.5145  0.17
Ezaki 2006   57  0.3768  0.0054  0.0474  0.0463  0.0575  0.04
Falvay 1989   56  0.3751  0.0056  0.0478  0.0474  0.0477  0.04
Farrell 1958   64  0.3444  0.0055  0.0476  0.0446  0.0961  0.06
Ferenczy 1958   88  0.1080  0.0088  0.0288  0.0286  0.0289  0.02
Fliere 1977   2  0.6115  0.004  0.302  0.825  0.743  0.78
Fou 1978   19  0.4957  0.0022  0.1019  0.5916  0.5421  0.56
Francois 1956   84  0.2164  0.0085  0.0481  0.0488  0.0288  0.03
Friedman 1923   35  0.4111  0.0131  0.1138  0.2421  0.4934  0.34
Friedman 1923b   36  0.4121  0.0030  0.0833  0.3017  0.5628  0.41
Friedman 1930   32  0.4316  0.0029  0.1031  0.3519  0.5225  0.43
Garcia 2007   51  0.3854  0.0035  0.0732  0.3413  0.5526  0.43
Garcia 2007b   63  0.3418  0.0040  0.0741  0.2026  0.3939  0.28
Gierzod 1998   44  0.3981  0.0038  0.0736  0.2766  0.0548  0.12
Gornostaeva 1994   58  0.3683  0.0065  0.0567  0.0567  0.0480  0.04
Groot 1988   26  0.4635  0.0021  0.1325  0.5019  0.4224  0.46
Harasiewicz 1955   12  0.5122  0.0016  0.1122  0.5533  0.3227  0.42
Hatto 1993   28  0.4559  0.0024  0.0923  0.5033  0.2533  0.35
Hatto 1997   69  0.3276  0.0072  0.0658  0.0682  0.0471  0.05
Horowitz 1949   55  0.3745  0.0060  0.0563  0.0529  0.3746  0.14
Indjic 1988   34  0.4289  0.0032  0.0830  0.3838  0.2237  0.29
Kapell 1951   10  0.537  0.017  0.186  0.763  0.657  0.70
Kissin 1993   6  0.5512  0.016  0.255  0.785  0.832  0.80
Kushner 1989   4  0.584  0.025  0.264  0.804  0.734  0.76
Luisada 1991   38  0.4146  0.0059  0.0846  0.0849  0.0758  0.07
Lushtak 2004   43  0.3923  0.0046  0.0655  0.0631  0.2549  0.12
Malcuzynski 1961   21  0.496  0.0112  0.1516  0.6314  0.5318  0.58
Magaloff 1978   14  0.5139  0.0014  0.1512  0.665  0.6610  0.66
Magin 1975   9  0.539  0.018  0.1811  0.688  0.669  0.67
Michalowski 1933   61  0.3510  0.0144  0.0744  0.158  0.5736  0.29
Milkina 1970   76  0.2948  0.0067  0.0569  0.0570  0.0479  0.04
Mohovich 1999   45  0.3950  0.0058  0.0657  0.0681  0.0474  0.05
Moravec 1969   39  0.4082  0.0043  0.0943  0.1840  0.1843  0.18
Morozova 2008   13  0.5125  0.009  0.188  0.753  0.658  0.70
Neighaus 1950   40  0.4031  0.0052  0.0570  0.0543  0.1756  0.09
Niedzielski 1931   25  0.4617  0.0026  0.1024  0.503  0.6320  0.56
Ohlsson 1999   15  0.5020  0.0019  0.1720  0.569  0.5322  0.54
Osinska 1989   37  0.4160  0.0053  0.0571  0.0563  0.0565  0.05
Pachmann 1927   16  0.5026  0.0020  0.1315  0.641  0.816  0.72
Paderewski 1930   46  0.3952  0.0039  0.0739  0.2211  0.6030  0.36
Perlemuter 1992   59  0.3679  0.0071  0.0568  0.0559  0.0564  0.05
Pierdomenico 2008   33  0.4247  0.0045  0.0645  0.1320  0.4542  0.24
Poblocka 1999   24  0.4714  0.0018  0.1418  0.5913  0.5917  0.59
Rabcewiczowa 1932   82  0.2533  0.0081  0.0477  0.0474  0.0478  0.04
Rachmaninoff 1923   47  0.3878  0.0048  0.0652  0.0642  0.1753  0.10
Rangell 2001   54  0.3719  0.0061  0.0562  0.0539  0.2352  0.11
Richter 1976   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosen 1989   23  0.4830  0.0028  0.1128  0.4320  0.3829  0.40
Rosenthal 1930   72  0.3162  0.0079  0.0561  0.0559  0.0573  0.05
Rosenthal 1931   85  0.1877  0.0083  0.0483  0.0477  0.0382  0.03
Rosenthal 1931b   86  0.1590  0.0086  0.0386  0.0384  0.0386  0.03
Rosenthal 1931c   83  0.2563  0.0082  0.0384  0.0367  0.0487  0.03
Rosenthal 1931d   87  0.1191  0.0087  0.0387  0.0385  0.0291  0.02
Rossi 2007   80  0.2888  0.0078  0.0479  0.0430  0.3150  0.11
Rubinstein 1939   60  0.3658  0.0057  0.0656  0.0655  0.0469  0.05
Rubinstein 1952   30  0.4437  0.0037  0.0835  0.2838  0.2838  0.28
Rubinstein 1966   27  0.4538  0.0033  0.0729  0.4058  0.0744  0.17
Schilhawsky 1960   62  0.3513  0.0134  0.0737  0.2525  0.3535  0.30
Shebanova 2002   8  0.5434  0.0015  0.179  0.7111  0.6013  0.65
Smith 1975   67  0.3342  0.0077  0.0653  0.0673  0.0468  0.05
Sokolov 2002   65  0.3441  0.0069  0.0572  0.0549  0.0667  0.05
Sztompka 1959   3  0.593  0.183  0.297  0.755  0.785  0.76
Tomsic 1995   41  0.4029  0.0050  0.0649  0.0633  0.2251  0.11
Uninsky 1932   11  0.518  0.0111  0.1414  0.648  0.6811  0.66
Uninsky 1971   49  0.3884  0.0051  0.0565  0.0547  0.0762  0.06
Wasowski 1980   20  0.4928  0.0017  0.1413  0.6510  0.5915  0.62
Zak 1937   48  0.3872  0.0066  0.0659  0.0661  0.0570  0.05
Zak 1951   53  0.3786  0.0070  0.0748  0.0746  0.0859  0.07
Average   1  0.671  0.461  0.461  0.8824  0.4316  0.62
Random 1   91  -0.0336  0.0090  0.0190  0.0141  0.1084  0.03
Random 2   90  -0.0287  0.0091  0.0191  0.0168  0.0390  0.02
Random 3   89  0.0027  0.0089  0.0289  0.0210  0.4355  0.09

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).