Bacha 2000

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   26  0.5128  0.0029  0.0526  0.2652  0.0535  0.11
Anderszewski 2003   7  0.5612  0.018  0.109  0.4350  0.0522  0.15
Ashkenazy 1981   4  0.586  0.045  0.127  0.4342  0.1410  0.25
Bacha 2000   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Badura 1965   56  0.4469  0.0069  0.0374  0.0363  0.0573  0.04
Barbosa 1983   36  0.4849  0.0019  0.0621  0.3436  0.199  0.25
Biret 1990   9  0.5636  0.0026  0.0923  0.3257  0.0527  0.13
Blet 2003   49  0.4634  0.0043  0.0543  0.1028  0.2719  0.16
Block 1995   68  0.4062  0.0053  0.0465  0.0477  0.0474  0.04
Blumental 1952   3  0.593  0.143  0.232  0.6134  0.186  0.33
Boshniakovich 1969   61  0.4253  0.0068  0.0381  0.0377  0.0485  0.03
Brailowsky 1960   23  0.5211  0.0149  0.0552  0.0544  0.1739  0.09
Bunin 1987   84  0.3565  0.0082  0.0377  0.0366  0.0486  0.03
Bunin 1987b   85  0.3433  0.0081  0.0380  0.0354  0.0564  0.04
Chiu 1999   14  0.5330  0.0033  0.0629  0.2333  0.1715  0.20
Cohen 1997   21  0.5242  0.0022  0.0733  0.201  0.537  0.33
Cortot 1951   52  0.4537  0.0061  0.0554  0.0538  0.2238  0.10
Csalog 1996   70  0.408  0.0230  0.0542  0.1047  0.0643  0.08
Czerny 1949   33  0.4974  0.0042  0.0641  0.1167  0.0450  0.07
Czerny 1990   20  0.5216  0.0112  0.0810  0.4260  0.0526  0.14
Duchoud 2007   39  0.4820  0.0137  0.0537  0.1522  0.3112  0.22
Ezaki 2006   1  0.605  0.054  0.183  0.5835  0.222  0.36
Falvay 1989   40  0.4850  0.0065  0.0460  0.0457  0.0655  0.05
Farrell 1958   8  0.561  0.231  0.234  0.5234  0.321  0.41
Ferenczy 1958   60  0.4215  0.0151  0.0467  0.0444  0.1149  0.07
Fliere 1977   15  0.534  0.057  0.116  0.4968  0.0423  0.14
Fou 1978   6  0.5759  0.0013  0.0811  0.4259  0.0524  0.14
Francois 1956   41  0.4823  0.0118  0.0628  0.2337  0.2113  0.22
Friedman 1923   42  0.4758  0.0060  0.0547  0.0549  0.0660  0.05
Friedman 1923b   44  0.4767  0.0058  0.0468  0.0453  0.0657  0.05
Friedman 1930   64  0.4190  0.0080  0.0385  0.0367  0.0483  0.03
Garcia 2007   63  0.4246  0.0077  0.0469  0.0458  0.0572  0.04
Garcia 2007b   51  0.4576  0.0059  0.0466  0.0467  0.0476  0.04
Gierzod 1998   43  0.4729  0.0035  0.0634  0.1876  0.0351  0.07
Gornostaeva 1994   55  0.4577  0.0050  0.0462  0.0473  0.0387  0.03
Groot 1988   25  0.5217  0.0116  0.0620  0.3556  0.0528  0.13
Harasiewicz 1955   38  0.4855  0.0055  0.0459  0.0481  0.0388  0.03
Hatto 1993   18  0.5318  0.0110  0.0916  0.3674  0.0431  0.12
Hatto 1997   17  0.5321  0.0111  0.1022  0.3371  0.0434  0.11
Horowitz 1949   80  0.3781  0.0084  0.0387  0.0365  0.0566  0.04
Indjic 1988   19  0.5388  0.0015  0.0725  0.2967  0.0433  0.11
Kapell 1951   50  0.4625  0.0024  0.0714  0.3756  0.0525  0.14
Kissin 1993   76  0.3938  0.0074  0.0384  0.0385  0.0289  0.02
Kushner 1989   24  0.5245  0.0027  0.1027  0.2464  0.0532  0.11
Luisada 1991   31  0.5019  0.0125  0.0818  0.3643  0.1311  0.22
Lushtak 2004   45  0.4766  0.0041  0.0540  0.1272  0.0452  0.07
Malcuzynski 1961   65  0.4131  0.0067  0.0461  0.0476  0.0379  0.03
Magaloff 1978   13  0.539  0.0228  0.0531  0.2239  0.1517  0.18
Magin 1975   69  0.4089  0.0063  0.0546  0.0565  0.0463  0.04
Michalowski 1933   86  0.3370  0.0085  0.0378  0.0375  0.0381  0.03
Milkina 1970   2  0.592  0.212  0.251  0.6342  0.205  0.35
Mohovich 1999   27  0.5135  0.0023  0.0717  0.3646  0.0918  0.18
Moravec 1969   53  0.4554  0.0062  0.0553  0.0535  0.2136  0.10
Morozova 2008   54  0.4578  0.0046  0.0545  0.0563  0.0469  0.04
Neighaus 1950   29  0.5079  0.0045  0.0548  0.0548  0.0659  0.05
Niedzielski 1931   57  0.4375  0.0052  0.0555  0.0564  0.0462  0.04
Ohlsson 1999   11  0.5443  0.0021  0.068  0.4350  0.0521  0.15
Osinska 1989   30  0.5051  0.0034  0.0530  0.2256  0.0729  0.12
Pachmann 1927   83  0.3582  0.0086  0.0386  0.0369  0.0380  0.03
Paderewski 1930   62  0.427  0.0266  0.0457  0.0457  0.0468  0.04
Perlemuter 1992   73  0.4060  0.0075  0.0372  0.0368  0.0478  0.03
Pierdomenico 2008   72  0.4063  0.0073  0.0375  0.0348  0.0661  0.04
Poblocka 1999   81  0.3652  0.0048  0.0550  0.0555  0.0554  0.05
Rabcewiczowa 1932   37  0.4841  0.0031  0.0532  0.2156  0.0537  0.10
Rachmaninoff 1923   28  0.5127  0.0038  0.0636  0.1580  0.0442  0.08
Rangell 2001   74  0.3956  0.0047  0.0549  0.0560  0.0558  0.05
Richter 1976   87  0.2784  0.0087  0.0464  0.0471  0.0467  0.04
Rosen 1989   16  0.5310  0.029  0.1313  0.4144  0.1016  0.20
Rosenthal 1930   82  0.3672  0.0083  0.0373  0.0350  0.0484  0.03
Rosenthal 1931   78  0.3832  0.0078  0.0382  0.0340  0.1848  0.07
Rosenthal 1931b   67  0.4026  0.0071  0.0376  0.0330  0.2740  0.09
Rosenthal 1931c   66  0.4022  0.0172  0.0463  0.0438  0.2141  0.09
Rosenthal 1931d   77  0.3868  0.0079  0.0383  0.0333  0.2445  0.08
Rossi 2007   10  0.5540  0.0036  0.0639  0.1322  0.3514  0.21
Rubinstein 1939   12  0.5439  0.0014  0.0712  0.4130  0.323  0.36
Rubinstein 1952   47  0.4785  0.0017  0.0615  0.3638  0.208  0.27
Rubinstein 1966   5  0.5713  0.016  0.155  0.4935  0.274  0.36
Schilhawsky 1960   79  0.3744  0.0076  0.0471  0.0475  0.0382  0.03
Shebanova 2002   35  0.4883  0.0040  0.0535  0.1770  0.0444  0.08
Smith 1975   32  0.5086  0.0020  0.0619  0.3648  0.0620  0.15
Sokolov 2002   34  0.4824  0.0139  0.0538  0.1366  0.0446  0.07
Sztompka 1959   22  0.5287  0.0032  0.0524  0.3164  0.0530  0.12
Tomsic 1995   71  0.4047  0.0070  0.0379  0.0340  0.1453  0.06
Uninsky 1932   58  0.4371  0.0054  0.0458  0.0461  0.0470  0.04
Uninsky 1971   75  0.3914  0.0144  0.0544  0.1063  0.0547  0.07
Wasowski 1980   59  0.4261  0.0064  0.0470  0.0481  0.0377  0.03
Zak 1937   46  0.4780  0.0057  0.0551  0.0566  0.0556  0.05
Zak 1951   48  0.4648  0.0056  0.0456  0.0470  0.0565  0.04
Random 1   90  -0.2073  0.0090  0.0190  0.0174  0.0290  0.01
Random 2   89  -0.0564  0.0089  0.0289  0.0239  0.1071  0.04
Random 3   88  -0.0557  0.0088  0.0288  0.0244  0.1075  0.04

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).