Richter 1976

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   30  0.5787  0.0062  0.0460  0.0479  0.0373  0.03
Anderszewski 2003   33  0.5324  0.015  0.1014  0.3424  0.2912  0.31
Ashkenazy 1981   42  0.5223  0.0144  0.0443  0.0778  0.0351  0.05
Bacha 2000   72  0.4188  0.0079  0.0384  0.0374  0.0362  0.03
Badura 1965   65  0.4410  0.0229  0.0635  0.1138  0.1630  0.13
Barbosa 1983   60  0.4644  0.0069  0.0546  0.0555  0.0459  0.04
Biret 1990   62  0.4562  0.0071  0.0458  0.0465  0.0379  0.03
Blet 2003   18  0.6242  0.0048  0.0645  0.0647  0.0550  0.05
Block 1995   14  0.6321  0.0132  0.0527  0.1726  0.2524  0.21
Blumental 1952   83  0.1165  0.0085  0.0382  0.0387  0.0286  0.02
Boshniakovich 1969   53  0.4937  0.0064  0.0453  0.0465  0.0376  0.03
Brailowsky 1960   10  0.6449  0.0021  0.0710  0.3923  0.339  0.36
Bunin 1987   20  0.6270  0.0018  0.128  0.4223  0.357  0.38
Bunin 1987b   21  0.6175  0.0017  0.077  0.4223  0.355  0.38
Chiu 1999   74  0.3827  0.0065  0.0374  0.0368  0.0465  0.03
Cohen 1997   69  0.4252  0.0023  0.0732  0.1422  0.3225  0.21
Cortot 1951   56  0.4886  0.0072  0.0369  0.0354  0.0561  0.04
Csalog 1996   50  0.5011  0.0227  0.0628  0.1613  0.4717  0.27
Czerny 1949   66  0.4372  0.0075  0.0376  0.0366  0.0372  0.03
Czerny 1990   22  0.6132  0.0036  0.0436  0.1169  0.0442  0.07
Duchoud 2007   44  0.5158  0.0059  0.0378  0.0376  0.0375  0.03
Ezaki 2006   25  0.6071  0.0046  0.0461  0.0460  0.0453  0.04
Falvay 1989   1  0.726  0.048  0.099  0.4024  0.2710  0.33
Farrell 1958   71  0.4276  0.0080  0.0462  0.0481  0.0366  0.03
Ferenczy 1958   26  0.5915  0.019  0.0824  0.2113  0.4114  0.29
Fliere 1977   11  0.6441  0.0025  0.0722  0.2350  0.0532  0.11
Fou 1978   28  0.5834  0.0038  0.0429  0.1542  0.1329  0.14
Francois 1956   49  0.5156  0.0061  0.0381  0.0358  0.0482  0.03
Friedman 1923   89  -0.1547  0.0090  0.0190  0.0186  0.0290  0.01
Friedman 1923b   88  -0.1567  0.0089  0.0189  0.0180  0.0388  0.02
Friedman 1930   84  0.1028  0.0082  0.0379  0.0378  0.0370  0.03
Garcia 2007   75  0.3830  0.0058  0.0459  0.0426  0.2635  0.10
Garcia 2007b   85  0.0043  0.0084  0.0377  0.0383  0.0289  0.02
Gierzod 1998   68  0.4373  0.0078  0.0383  0.0377  0.0374  0.03
Gornostaeva 1994   38  0.5335  0.0060  0.0370  0.0373  0.0377  0.03
Groot 1988   3  0.7063  0.0011  0.0815  0.3330  0.2119  0.26
Harasiewicz 1955   17  0.621  0.201  0.202  0.5012  0.402  0.45
Hatto 1993   80  0.2822  0.0156  0.0373  0.0354  0.0381  0.03
Hatto 1997   78  0.3253  0.0054  0.0456  0.0461  0.0371  0.03
Horowitz 1949   34  0.5318  0.0120  0.0926  0.1824  0.2822  0.22
Indjic 1988   79  0.3050  0.0057  0.0368  0.0350  0.0467  0.03
Kapell 1951   19  0.622  0.172  0.1713  0.3634  0.2611  0.31
Kissin 1993   7  0.669  0.0313  0.0818  0.2630  0.2420  0.25
Kushner 1989   12  0.648  0.0330  0.0723  0.2345  0.0631  0.12
Luisada 1991   59  0.4780  0.0073  0.0371  0.0378  0.0364  0.03
Lushtak 2004   16  0.6251  0.0014  0.095  0.4840  0.1321  0.25
Malcuzynski 1961   13  0.6346  0.0031  0.0525  0.2048  0.0534  0.10
Magaloff 1978   6  0.6738  0.0012  0.1316  0.3228  0.2713  0.29
Magin 1975   31  0.567  0.0326  0.0719  0.2612  0.2916  0.27
Michalowski 1933   82  0.2133  0.0077  0.0375  0.0358  0.0558  0.04
Milkina 1970   23  0.6181  0.0041  0.0431  0.1445  0.0638  0.09
Mohovich 1999   8  0.6654  0.0016  0.0817  0.3033  0.1326  0.20
Moravec 1969   51  0.5019  0.0176  0.0452  0.0471  0.0363  0.03
Morozova 2008   43  0.5255  0.0049  0.0372  0.0366  0.0469  0.03
Neighaus 1950   64  0.4460  0.0067  0.0455  0.0487  0.0280  0.03
Niedzielski 1931   67  0.4369  0.0055  0.0366  0.0315  0.3133  0.10
Ohlsson 1999   63  0.4513  0.0268  0.0548  0.0569  0.0357  0.04
Osinska 1989   40  0.5214  0.0137  0.0444  0.0770  0.0447  0.05
Pachmann 1927   48  0.5125  0.0134  0.0534  0.1225  0.3127  0.19
Paderewski 1930   45  0.5131  0.0028  0.0733  0.1372  0.0249  0.05
Perlemuter 1992   4  0.704  0.104  0.163  0.4816  0.403  0.44
Pierdomenico 2008   32  0.5577  0.0042  0.0441  0.0841  0.1036  0.09
Poblocka 1999   9  0.6440  0.0015  0.0812  0.3633  0.2115  0.27
Rabcewiczowa 1932   77  0.3536  0.0081  0.0285  0.0277  0.0383  0.02
Rachmaninoff 1923   55  0.4989  0.0033  0.0538  0.1072  0.0348  0.05
Rangell 2001   54  0.4968  0.0063  0.0457  0.0466  0.0378  0.03
Richter 1976   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosen 1989   70  0.4229  0.0083  0.0367  0.0386  0.0285  0.02
Rosenthal 1930   36  0.5364  0.0035  0.0537  0.1133  0.2228  0.16
Rosenthal 1931   35  0.5339  0.0024  0.0820  0.2430  0.2818  0.26
Rosenthal 1931b   58  0.4774  0.0052  0.0454  0.0433  0.1741  0.08
Rosenthal 1931c   37  0.5361  0.0051  0.0365  0.0343  0.1052  0.05
Rosenthal 1931d   46  0.5178  0.0053  0.0547  0.0529  0.1839  0.09
Rossi 2007   76  0.3783  0.0050  0.0464  0.0426  0.1740  0.08
Rubinstein 1939   81  0.225  0.0410  0.1030  0.1551  0.0537  0.09
Rubinstein 1952   41  0.5257  0.0043  0.0442  0.0757  0.0546  0.06
Rubinstein 1966   61  0.4566  0.0074  0.0380  0.0370  0.0468  0.03
Schilhawsky 1960   24  0.6117  0.016  0.124  0.4825  0.288  0.37
Shebanova 2002   52  0.5016  0.0140  0.0439  0.0965  0.0444  0.06
Smith 1975   27  0.5882  0.0047  0.0549  0.0574  0.0354  0.04
Sokolov 2002   2  0.713  0.103  0.161  0.539  0.461  0.49
Sztompka 1959   57  0.4826  0.0170  0.0451  0.0463  0.0456  0.04
Tomsic 1995   5  0.6912  0.027  0.086  0.4724  0.306  0.38
Uninsky 1932   73  0.3859  0.0066  0.0463  0.0454  0.0560  0.04
Uninsky 1971   39  0.5348  0.0039  0.0440  0.0857  0.0543  0.06
Wasowski 1980   15  0.6320  0.0119  0.0711  0.391  0.434  0.41
Zak 1937   47  0.5184  0.0045  0.0450  0.0455  0.0555  0.04
Zak 1951   29  0.5745  0.0022  0.0821  0.2438  0.1823  0.21
Random 1   87  -0.0990  0.0086  0.0286  0.0228  0.2045  0.06
Random 2   90  -0.1785  0.0087  0.0287  0.0286  0.0284  0.02
Random 3   86  -0.0779  0.0088  0.0288  0.0273  0.0387  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).