Bacha 2000

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   27  0.5125  0.0030  0.0527  0.2653  0.0534  0.11
Anderszewski 2003   8  0.569  0.019  0.1010  0.4351  0.0427  0.13
Ashkenazy 1981   5  0.583  0.046  0.128  0.4343  0.1410  0.25
Bacha 2000   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Badura 1965   57  0.4469  0.0070  0.0375  0.0364  0.0575  0.04
Barbosa 1983   37  0.4861  0.0020  0.0622  0.3437  0.199  0.25
Biret 1990   10  0.5646  0.0027  0.0924  0.3258  0.0435  0.11
Blet 2003   50  0.4630  0.0044  0.0544  0.1029  0.2720  0.16
Block 1995   69  0.4058  0.0054  0.0466  0.0478  0.0476  0.04
Blumental 1952   4  0.5911  0.014  0.223  0.6135  0.186  0.33
Boshniakovich 1969   62  0.4263  0.0069  0.0382  0.0378  0.0486  0.03
Brailowsky 1960   24  0.525  0.0150  0.0553  0.0545  0.1739  0.09
Bunin 1987   85  0.3564  0.0083  0.0378  0.0367  0.0487  0.03
Bunin 1987b   86  0.3429  0.0082  0.0381  0.0355  0.0566  0.04
Chiu 1999   15  0.5326  0.0034  0.0630  0.2334  0.1715  0.20
Cohen 1997   22  0.5238  0.0023  0.0734  0.202  0.537  0.33
Cortot 1951   53  0.4531  0.0062  0.0455  0.0439  0.2240  0.09
Csalog 1996   71  0.4015  0.0131  0.0543  0.1048  0.0643  0.08
Czerny 1949   34  0.4975  0.0043  0.0642  0.1168  0.0451  0.07
Czerny 1990   21  0.5232  0.0013  0.0811  0.4261  0.0526  0.14
Duchoud 2007   40  0.4814  0.0138  0.0538  0.1523  0.3112  0.22
Ezaki 2006   2  0.606  0.015  0.184  0.5836  0.222  0.36
Falvay 1989   41  0.4849  0.0066  0.0461  0.0458  0.0656  0.05
Farrell 1958   9  0.562  0.212  0.235  0.5235  0.321  0.41
Ferenczy 1958   61  0.4213  0.0152  0.0468  0.0445  0.1150  0.07
Fliere 1977   16  0.5316  0.018  0.117  0.4969  0.0423  0.14
Fou 1978   7  0.5762  0.0014  0.0812  0.4260  0.0524  0.14
Francois 1956   42  0.4819  0.0119  0.0629  0.2338  0.2113  0.22
Friedman 1923   43  0.4755  0.0061  0.0548  0.0550  0.0662  0.05
Friedman 1923b   45  0.4767  0.0059  0.0469  0.0454  0.0659  0.05
Friedman 1930   65  0.4189  0.0081  0.0386  0.0368  0.0484  0.03
Garcia 2007   64  0.4241  0.0078  0.0470  0.0459  0.0574  0.04
Garcia 2007b   52  0.4577  0.0060  0.0467  0.0468  0.0477  0.04
Gierzod 1998   44  0.4750  0.0036  0.0635  0.1877  0.0352  0.07
Gornostaeva 1994   56  0.4578  0.0051  0.0463  0.0474  0.0388  0.03
Groot 1988   26  0.5212  0.0117  0.0621  0.3557  0.0528  0.13
Harasiewicz 1955   39  0.4852  0.0056  0.0460  0.0482  0.0389  0.03
Hatto 1993   19  0.5335  0.0011  0.0917  0.3675  0.0430  0.12
Hatto 1997   18  0.5317  0.0112  0.1023  0.3372  0.0433  0.11
Horowitz 1949   81  0.3781  0.0085  0.0388  0.0366  0.0568  0.04
Indjic 1988   20  0.5391  0.0016  0.0726  0.2968  0.0432  0.11
Kapell 1951   51  0.4637  0.0025  0.0715  0.3757  0.0525  0.14
Kissin 1993   77  0.3936  0.0075  0.0385  0.0386  0.0290  0.02
Kushner 1989   25  0.5240  0.0028  0.1028  0.2465  0.0438  0.10
Luisada 1991   32  0.5044  0.0026  0.0819  0.3644  0.1311  0.22
Lushtak 2004   46  0.4765  0.0042  0.0541  0.1273  0.0354  0.06
Malcuzynski 1961   66  0.4127  0.0068  0.0462  0.0477  0.0380  0.03
Magaloff 1978   14  0.537  0.0129  0.0532  0.2240  0.1517  0.18
Magin 1975   70  0.4088  0.0064  0.0547  0.0566  0.0465  0.04
Michalowski 1933   87  0.3370  0.0086  0.0379  0.0376  0.0382  0.03
Milkina 1970   3  0.598  0.013  0.252  0.6343  0.205  0.35
Mohovich 1999   28  0.5171  0.0024  0.0718  0.3647  0.0918  0.18
Moravec 1969   54  0.4551  0.0063  0.0554  0.0536  0.2136  0.10
Morozova 2008   55  0.4579  0.0047  0.0546  0.0564  0.0471  0.04
Neighaus 1950   30  0.5080  0.0046  0.0549  0.0549  0.0661  0.05
Niedzielski 1931   58  0.4376  0.0053  0.0456  0.0465  0.0464  0.04
Ohlsson 1999   12  0.5442  0.0022  0.069  0.4351  0.0522  0.15
Osinska 1989   31  0.5047  0.0035  0.0531  0.2257  0.0631  0.11
Pachmann 1927   84  0.3582  0.0087  0.0387  0.0370  0.0381  0.03
Paderewski 1930   63  0.424  0.0267  0.0458  0.0458  0.0470  0.04
Perlemuter 1992   74  0.4056  0.0076  0.0373  0.0369  0.0479  0.03
Pierdomenico 2008   73  0.4059  0.0074  0.0376  0.0349  0.0663  0.04
Poblocka 1999   82  0.3648  0.0049  0.0551  0.0556  0.0555  0.05
Rabcewiczowa 1932   38  0.4866  0.0032  0.0533  0.2157  0.0537  0.10
Rachmaninoff 1923   29  0.5123  0.0039  0.0637  0.1581  0.0347  0.07
Rangell 2001   75  0.3953  0.0048  0.0550  0.0561  0.0560  0.05
Richter 1976   88  0.2784  0.0088  0.0465  0.0472  0.0469  0.04
Rosen 1989   17  0.5321  0.0110  0.1314  0.4145  0.1016  0.20
Rosenthal 1930   83  0.3673  0.0084  0.0374  0.0351  0.0485  0.03
Rosenthal 1931   79  0.3828  0.0079  0.0383  0.0341  0.1849  0.07
Rosenthal 1931b   68  0.4022  0.0072  0.0377  0.0331  0.2741  0.09
Rosenthal 1931c   67  0.4018  0.0173  0.0464  0.0439  0.2142  0.09
Rosenthal 1931d   78  0.3868  0.0080  0.0384  0.0334  0.2445  0.08
Rossi 2007   11  0.5534  0.0037  0.0540  0.1323  0.3514  0.21
Rubinstein 1939   13  0.5433  0.0015  0.0713  0.4131  0.323  0.36
Rubinstein 1952   48  0.4785  0.0018  0.0616  0.3639  0.208  0.27
Rubinstein 1966   6  0.5710  0.017  0.156  0.4936  0.274  0.36
Schilhawsky 1960   80  0.3739  0.0077  0.0472  0.0476  0.0383  0.03
Shebanova 2002   36  0.4883  0.0041  0.0536  0.1771  0.0444  0.08
Smith 1975   33  0.5086  0.0021  0.0620  0.3649  0.0621  0.15
Sokolov 2002   35  0.4820  0.0140  0.0539  0.1367  0.0446  0.07
Sztompka 1959   23  0.5287  0.0033  0.0525  0.3165  0.0529  0.12
Tomsic 1995   72  0.4043  0.0071  0.0380  0.0341  0.1453  0.06
Uninsky 1932   59  0.4372  0.0055  0.0459  0.0462  0.0472  0.04
Uninsky 1971   76  0.3924  0.0045  0.0545  0.1064  0.0548  0.07
Wasowski 1980   60  0.4257  0.0065  0.0471  0.0482  0.0378  0.03
Zak 1937   47  0.4790  0.0058  0.0552  0.0567  0.0557  0.05
Zak 1951   49  0.4645  0.0057  0.0457  0.0471  0.0567  0.04
Average   1  0.661  0.501  0.501  0.7265  0.0419  0.17
Random 1   91  -0.2074  0.0091  0.0191  0.0175  0.0291  0.01
Random 2   90  -0.0560  0.0090  0.0290  0.0240  0.1073  0.04
Random 3   89  -0.0554  0.0089  0.0289  0.0241  0.1258  0.05

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).