Biret 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   30  0.5066  0.0036  0.0937  0.222  0.6634  0.38
Anderszewski 2003   31  0.5069  0.0040  0.0539  0.1345  0.0965  0.11
Ashkenazy 1981   45  0.4554  0.0054  0.0562  0.058  0.4751  0.15
Bacha 2000   67  0.3970  0.0074  0.0287  0.0246  0.0588  0.03
Badura 1965   57  0.4215  0.0162  0.0649  0.0632  0.2559  0.12
Barbosa 1983   12  0.5510  0.0212  0.1210  0.5616  0.5511  0.55
Biret 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Blet 2003   56  0.4386  0.0059  0.0650  0.069  0.4549  0.16
Block 1995   42  0.4752  0.0050  0.0646  0.0621  0.4450  0.16
Blumental 1952   5  0.5860  0.009  0.105  0.584  0.723  0.65
Boshniakovich 1969   28  0.5058  0.0019  0.0722  0.4316  0.4228  0.42
Brailowsky 1960   25  0.5246  0.0032  0.1033  0.3413  0.5725  0.44
Bunin 1987   70  0.3881  0.0069  0.0467  0.0446  0.0681  0.05
Bunin 1987b   73  0.3783  0.0070  0.0373  0.0348  0.0682  0.04
Chiu 1999   46  0.4518  0.0152  0.0745  0.0716  0.4046  0.17
Cohen 1997   74  0.3782  0.0072  0.0380  0.0316  0.3170  0.10
Cortot 1951   76  0.3563  0.0082  0.0374  0.0328  0.3471  0.10
Csalog 1996   39  0.4824  0.0025  0.0936  0.2319  0.3537  0.28
Czerny 1949   49  0.4484  0.0053  0.0557  0.0547  0.0878  0.06
Czerny 1990   18  0.5477  0.0015  0.1121  0.4432  0.4723  0.45
Duchoud 2007   86  0.2588  0.0086  0.0379  0.0359  0.0585  0.04
Ezaki 2006   14  0.5537  0.0027  0.1024  0.4226  0.3531  0.38
Falvay 1989   8  0.5611  0.0123  0.0917  0.4731  0.4522  0.46
Farrell 1958   55  0.4331  0.0057  0.0559  0.0541  0.2067  0.10
Ferenczy 1958   63  0.4079  0.0066  0.0470  0.0436  0.2469  0.10
Fliere 1977   2  0.632  0.252  0.264  0.636  0.596  0.61
Fou 1978   24  0.5323  0.0031  0.0828  0.3619  0.4132  0.38
Francois 1956   65  0.3929  0.0047  0.0651  0.064  0.5645  0.18
Friedman 1923   78  0.3459  0.0075  0.0286  0.0225  0.3676  0.08
Friedman 1923b   82  0.3148  0.0076  0.0385  0.0334  0.2672  0.09
Friedman 1930   52  0.4356  0.0049  0.0553  0.057  0.5847  0.17
Garcia 2007   80  0.3342  0.0081  0.0376  0.0339  0.2075  0.08
Garcia 2007b   66  0.3987  0.0046  0.0554  0.0531  0.3162  0.12
Gierzod 1998   11  0.558  0.0210  0.119  0.5620  0.4718  0.51
Gornostaeva 1994   54  0.4389  0.0042  0.0540  0.1331  0.3340  0.21
Groot 1988   17  0.5439  0.0018  0.1116  0.482  0.5716  0.52
Harasiewicz 1955   20  0.5326  0.0029  0.0825  0.4231  0.4229  0.42
Hatto 1993   15  0.5540  0.0017  0.1114  0.5112  0.5417  0.52
Hatto 1997   19  0.5480  0.0022  0.0918  0.4715  0.5219  0.49
Horowitz 1949   77  0.3571  0.0073  0.0378  0.0312  0.4857  0.12
Indjic 1988   13  0.5567  0.0016  0.1113  0.5310  0.5710  0.55
Kapell 1951   50  0.4449  0.0061  0.0552  0.0551  0.0679  0.05
Kissin 1993   62  0.4085  0.0077  0.0384  0.0359  0.0584  0.04
Kushner 1989   6  0.5730  0.007  0.122  0.6617  0.508  0.57
Luisada 1991   48  0.4419  0.0141  0.0542  0.1118  0.4938  0.23
Lushtak 2004   33  0.4912  0.0120  0.0823  0.4318  0.5121  0.47
Malcuzynski 1961   36  0.4973  0.0037  0.1135  0.2834  0.3036  0.29
Magaloff 1978   21  0.5325  0.0028  0.0829  0.3612  0.5127  0.43
Magin 1975   37  0.4814  0.0133  0.0831  0.3521  0.4730  0.41
Michalowski 1933   84  0.2743  0.0080  0.0377  0.035  0.5754  0.13
Milkina 1970   7  0.573  0.134  0.241  0.6911  0.594  0.64
Mohovich 1999   4  0.586  0.0311  0.128  0.568  0.627  0.59
Moravec 1969   41  0.4768  0.0044  0.0444  0.0836  0.1956  0.12
Morozova 2008   59  0.4150  0.0045  0.0564  0.0527  0.3455  0.13
Neighaus 1950   81  0.3247  0.0084  0.0383  0.0356  0.0587  0.04
Niedzielski 1931   75  0.3644  0.0071  0.0372  0.0321  0.3566  0.10
Ohlsson 1999   32  0.507  0.0224  0.0926  0.387  0.5820  0.47
Osinska 1989   10  0.5513  0.018  0.1111  0.5524  0.5213  0.53
Pachmann 1927   85  0.2574  0.0087  0.0471  0.0454  0.0583  0.04
Paderewski 1930   87  0.2351  0.0085  0.0375  0.0329  0.2174  0.08
Perlemuter 1992   64  0.4075  0.0060  0.0558  0.056  0.5048  0.16
Pierdomenico 2008   79  0.3372  0.0078  0.0382  0.0325  0.3763  0.11
Poblocka 1999   43  0.4627  0.0038  0.0638  0.1339  0.2442  0.18
Rabcewiczowa 1932   27  0.514  0.045  0.1715  0.505  0.5414  0.52
Rachmaninoff 1923   9  0.565  0.046  0.257  0.582  0.732  0.65
Rangell 2001   69  0.3945  0.0079  0.0381  0.0356  0.0686  0.04
Richter 1976   44  0.4641  0.0056  0.0555  0.0537  0.2564  0.11
Rosen 1989   51  0.4353  0.0048  0.0561  0.0530  0.3160  0.12
Rosenthal 1930   47  0.4534  0.0058  0.0648  0.0611  0.5744  0.18
Rosenthal 1931   72  0.3755  0.0067  0.0465  0.0432  0.2568  0.10
Rosenthal 1931b   53  0.4322  0.0163  0.0466  0.0416  0.4753  0.14
Rosenthal 1931c   61  0.4033  0.0065  0.0556  0.0529  0.2761  0.12
Rosenthal 1931d   60  0.4176  0.0064  0.0469  0.0417  0.4752  0.14
Rossi 2007   83  0.3116  0.0183  0.0468  0.0437  0.1573  0.08
Rubinstein 1939   35  0.4957  0.0039  0.0541  0.1223  0.4239  0.22
Rubinstein 1952   26  0.5278  0.0026  0.1127  0.3728  0.3735  0.37
Rubinstein 1966   16  0.5417  0.0113  0.1112  0.5423  0.5015  0.52
Schilhawsky 1960   22  0.539  0.0214  0.1020  0.454  0.6812  0.55
Shebanova 2002   29  0.5035  0.0030  0.0832  0.3410  0.5626  0.44
Smith 1975   23  0.5320  0.0121  0.0719  0.475  0.659  0.55
Sokolov 2002   38  0.4861  0.0051  0.0647  0.0611  0.5243  0.18
Sztompka 1959   71  0.3728  0.0055  0.0560  0.0536  0.2858  0.12
Tomsic 1995   58  0.4162  0.0068  0.0563  0.0565  0.0580  0.05
Uninsky 1932   68  0.3938  0.0043  0.0443  0.0823  0.5041  0.20
Uninsky 1971   34  0.4936  0.0035  0.0934  0.2920  0.5033  0.38
Wasowski 1980   40  0.4732  0.0034  0.1130  0.3612  0.5324  0.44
Zak 1937   3  0.6121  0.013  0.236  0.584  0.695  0.63
Zak 1951   1  0.631  0.281  0.283  0.634  0.741  0.68
Random 1   90  -0.0990  0.0090  0.0190  0.0170  0.0290  0.01
Random 2   88  0.0665  0.0088  0.0288  0.0226  0.2677  0.07
Random 3   89  -0.0464  0.0089  0.0189  0.0145  0.0889  0.03

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).