Richter 1976

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   74  0.3066  0.0079  0.0479  0.0486  0.0382  0.03
Anderszewski 2003   51  0.3845  0.0040  0.0739  0.2136  0.2940  0.25
Ashkenazy 1981   6  0.544  0.089  0.1616  0.617  0.6714  0.64
Bacha 2000   78  0.2969  0.0074  0.0481  0.0457  0.0575  0.04
Badura 1965   70  0.3271  0.0067  0.0563  0.0540  0.1356  0.08
Barbosa 1983   28  0.4567  0.0026  0.1025  0.4833  0.2630  0.35
Biret 1990   72  0.3072  0.0075  0.0472  0.0470  0.0480  0.04
Blet 2003   41  0.3948  0.0062  0.0559  0.0540  0.2053  0.10
Block 1995   21  0.4859  0.0022  0.1120  0.5610  0.5918  0.57
Blumental 1952   65  0.3485  0.0063  0.0650  0.0646  0.0763  0.06
Boshniakovich 1969   17  0.5031  0.0012  0.149  0.7011  0.6312  0.66
Brailowsky 1960   73  0.3068  0.0072  0.0653  0.0661  0.0660  0.06
Bunin 1987   67  0.3373  0.0046  0.0846  0.0834  0.2246  0.13
Bunin 1987b   69  0.3274  0.0041  0.0841  0.2031  0.3239  0.25
Chiu 1999   16  0.5033  0.0024  0.0826  0.4811  0.5222  0.50
Cohen 1997   80  0.2647  0.0083  0.0384  0.0374  0.0384  0.03
Cortot 1951   76  0.2958  0.0061  0.0565  0.0545  0.0959  0.07
Csalog 1996   30  0.4452  0.0035  0.0733  0.3017  0.4231  0.35
Czerny 1949   77  0.2928  0.0073  0.0474  0.0448  0.0771  0.05
Czerny 1990   4  0.571  0.371  0.362  0.823  0.831  0.82
Duchoud 2007   49  0.3842  0.0048  0.0649  0.0612  0.5144  0.17
Ezaki 2006   56  0.3770  0.0053  0.0473  0.0462  0.0574  0.04
Falvay 1989   55  0.3756  0.0055  0.0477  0.0473  0.0476  0.04
Farrell 1958   63  0.3449  0.0054  0.0475  0.0445  0.0961  0.06
Ferenczy 1958   87  0.1081  0.0087  0.0287  0.0285  0.0288  0.02
Fliere 1977   1  0.613  0.093  0.311  0.824  0.743  0.78
Fou 1978   18  0.4935  0.0021  0.1018  0.5915  0.5420  0.56
Francois 1956   83  0.2164  0.0084  0.0480  0.0487  0.0287  0.03
Friedman 1923   34  0.4111  0.0130  0.1137  0.2420  0.4933  0.34
Friedman 1923b   35  0.4121  0.0029  0.0832  0.3016  0.5627  0.41
Friedman 1930   31  0.4310  0.0128  0.1030  0.3518  0.5224  0.43
Garcia 2007   50  0.3857  0.0034  0.0731  0.3412  0.5525  0.43
Garcia 2007b   62  0.3422  0.0039  0.0740  0.2025  0.3938  0.28
Gierzod 1998   43  0.3977  0.0037  0.0735  0.2765  0.0548  0.12
Gornostaeva 1994   57  0.3683  0.0064  0.0566  0.0566  0.0479  0.04
Groot 1988   25  0.4636  0.0020  0.1324  0.5018  0.4223  0.46
Harasiewicz 1955   11  0.5117  0.0015  0.1121  0.5532  0.3226  0.42
Hatto 1993   27  0.4560  0.0023  0.1022  0.5032  0.2532  0.35
Hatto 1997   68  0.3275  0.0071  0.0657  0.0681  0.0470  0.05
Horowitz 1949   54  0.3750  0.0059  0.0562  0.0528  0.3745  0.14
Indjic 1988   33  0.4288  0.0031  0.0929  0.3837  0.2236  0.29
Kapell 1951   9  0.537  0.016  0.195  0.762  0.657  0.70
Kissin 1993   5  0.5513  0.015  0.264  0.784  0.832  0.80
Kushner 1989   3  0.586  0.024  0.263  0.803  0.734  0.76
Luisada 1991   37  0.4143  0.0058  0.0845  0.0848  0.0757  0.07
Lushtak 2004   42  0.3920  0.0045  0.0654  0.0630  0.2549  0.12
Malcuzynski 1961   20  0.498  0.0111  0.1515  0.6313  0.5317  0.58
Magaloff 1978   13  0.5144  0.0013  0.1511  0.664  0.6610  0.66
Magin 1975   8  0.535  0.047  0.1810  0.687  0.669  0.67
Michalowski 1933   60  0.3512  0.0143  0.0743  0.157  0.5735  0.29
Milkina 1970   75  0.2938  0.0066  0.0568  0.0569  0.0478  0.04
Mohovich 1999   44  0.3955  0.0057  0.0656  0.0680  0.0473  0.05
Moravec 1969   38  0.4080  0.0042  0.0942  0.1839  0.1842  0.18
Morozova 2008   12  0.5126  0.008  0.197  0.752  0.658  0.70
Neighaus 1950   39  0.4032  0.0051  0.0569  0.0542  0.1755  0.09
Niedzielski 1931   24  0.4616  0.0025  0.1023  0.502  0.6319  0.56
Ohlsson 1999   14  0.5024  0.0018  0.1719  0.568  0.5321  0.54
Osinska 1989   36  0.4151  0.0052  0.0570  0.0562  0.0565  0.05
Pachmann 1927   15  0.5027  0.0019  0.1314  0.641  0.816  0.72
Paderewski 1930   45  0.3954  0.0038  0.0838  0.2210  0.6029  0.36
Perlemuter 1992   58  0.3679  0.0070  0.0567  0.0558  0.0564  0.05
Pierdomenico 2008   32  0.4253  0.0044  0.0644  0.1319  0.4541  0.24
Poblocka 1999   23  0.4715  0.0017  0.1517  0.5912  0.5916  0.59
Rabcewiczowa 1932   81  0.2537  0.0080  0.0476  0.0473  0.0477  0.04
Rachmaninoff 1923   46  0.3876  0.0047  0.0651  0.0641  0.1752  0.10
Rangell 2001   53  0.3725  0.0060  0.0561  0.0538  0.2351  0.11
Richter 1976   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosen 1989   22  0.4834  0.0027  0.1127  0.4319  0.3828  0.40
Rosenthal 1930   71  0.3162  0.0078  0.0560  0.0558  0.0572  0.05
Rosenthal 1931   84  0.1878  0.0082  0.0482  0.0476  0.0381  0.03
Rosenthal 1931b   85  0.1589  0.0085  0.0385  0.0383  0.0385  0.03
Rosenthal 1931c   82  0.2563  0.0081  0.0383  0.0366  0.0486  0.03
Rosenthal 1931d   86  0.1190  0.0086  0.0386  0.0384  0.0290  0.02
Rossi 2007   79  0.2887  0.0077  0.0478  0.0429  0.3150  0.11
Rubinstein 1939   59  0.3661  0.0056  0.0655  0.0654  0.0568  0.05
Rubinstein 1952   29  0.4423  0.0036  0.0834  0.2837  0.2837  0.28
Rubinstein 1966   26  0.4540  0.0032  0.0728  0.4057  0.0743  0.17
Schilhawsky 1960   61  0.3514  0.0133  0.0736  0.2524  0.3534  0.30
Shebanova 2002   7  0.5418  0.0014  0.178  0.7110  0.6013  0.65
Smith 1975   66  0.3341  0.0076  0.0652  0.0672  0.0467  0.05
Sokolov 2002   64  0.3446  0.0068  0.0571  0.0548  0.0666  0.05
Sztompka 1959   2  0.592  0.272  0.296  0.754  0.785  0.76
Tomsic 1995   40  0.4019  0.0049  0.0748  0.0732  0.2247  0.12
Uninsky 1932   10  0.519  0.0110  0.1513  0.647  0.6811  0.66
Uninsky 1971   48  0.3884  0.0050  0.0564  0.0546  0.0762  0.06
Wasowski 1980   19  0.4929  0.0016  0.1412  0.659  0.5915  0.62
Zak 1937   47  0.3865  0.0065  0.0658  0.0660  0.0569  0.05
Zak 1951   52  0.3782  0.0069  0.0747  0.0745  0.0858  0.07
Random 1   90  -0.0339  0.0089  0.0189  0.0141  0.1083  0.03
Random 2   89  -0.0286  0.0090  0.0190  0.0167  0.0389  0.02
Random 3   88  0.0030  0.0088  0.0288  0.0210  0.4254  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).