Bacha 2000

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   33  0.6235  0.0036  0.0536  0.1250  0.0545  0.08
Anderszewski 2003   17  0.6612  0.0229  0.0423  0.2255  0.0441  0.09
Ashkenazy 1981   15  0.6742  0.0018  0.0718  0.3055  0.0436  0.11
Bacha 2000   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Badura 1965   61  0.5290  0.0076  0.0382  0.0370  0.0488  0.03
Barbosa 1983   42  0.602  0.113  0.117  0.433  0.522  0.47
Biret 1990   1  0.7410  0.039  0.1111  0.4022  0.3010  0.35
Blet 2003   52  0.5561  0.0058  0.0645  0.0660  0.0559  0.05
Block 1995   69  0.4540  0.0035  0.0540  0.1044  0.0746  0.08
Blumental 1952   6  0.727  0.046  0.111  0.549  0.296  0.40
Boshniakovich 1969   73  0.4471  0.0079  0.0469  0.0481  0.0389  0.03
Brailowsky 1960   2  0.7414  0.0216  0.1017  0.3010  0.439  0.36
Bunin 1987   85  0.3174  0.0085  0.0387  0.0359  0.0573  0.04
Bunin 1987b   86  0.2939  0.0086  0.0467  0.0465  0.0466  0.04
Chiu 1999   3  0.7311  0.037  0.143  0.488  0.403  0.44
Cohen 1997   12  0.6724  0.0124  0.0631  0.152  0.5115  0.28
Cortot 1951   51  0.5586  0.0061  0.0470  0.0473  0.0474  0.04
Csalog 1996   72  0.4421  0.0120  0.0632  0.1420  0.3319  0.21
Czerny 1949   60  0.5367  0.0064  0.0374  0.0369  0.0485  0.03
Czerny 1990   11  0.6733  0.0012  0.158  0.4228  0.2312  0.31
Duchoud 2007   54  0.5426  0.0145  0.0461  0.0428  0.2242  0.09
Ezaki 2006   7  0.6923  0.0115  0.0910  0.4029  0.2313  0.30
Falvay 1989   49  0.5727  0.0162  0.0379  0.0329  0.4233  0.11
Farrell 1958   13  0.673  0.114  0.1112  0.3934  0.2214  0.29
Ferenczy 1958   36  0.616  0.048  0.0914  0.3511  0.408  0.37
Fliere 1977   40  0.6054  0.0031  0.0525  0.2052  0.0538  0.10
Fou 1978   9  0.6831  0.0023  0.0620  0.2775  0.0439  0.10
Francois 1956   21  0.6425  0.0138  0.0435  0.1324  0.3021  0.20
Friedman 1923   22  0.6451  0.0046  0.0460  0.0445  0.0855  0.06
Friedman 1923b   27  0.6358  0.0049  0.0462  0.0447  0.0762  0.05
Friedman 1930   41  0.6087  0.0065  0.0373  0.0352  0.0670  0.04
Garcia 2007   44  0.5944  0.0055  0.0468  0.0461  0.0471  0.04
Garcia 2007b   25  0.6338  0.0021  0.0615  0.3474  0.0432  0.12
Gierzod 1998   57  0.5420  0.0134  0.0633  0.1471  0.0453  0.07
Gornostaeva 1994   47  0.5872  0.0033  0.0629  0.1534  0.1525  0.15
Groot 1988   38  0.6016  0.0117  0.0727  0.1843  0.1724  0.17
Harasiewicz 1955   48  0.5788  0.0067  0.0472  0.0466  0.0575  0.04
Hatto 1993   39  0.6030  0.0143  0.0541  0.1053  0.0649  0.08
Hatto 1997   30  0.6268  0.0051  0.0647  0.0652  0.0560  0.05
Horowitz 1949   76  0.4185  0.0083  0.0377  0.0374  0.0479  0.03
Indjic 1988   29  0.6259  0.0050  0.0555  0.0553  0.0658  0.05
Kapell 1951   59  0.5369  0.0014  0.1116  0.3363  0.0434  0.11
Kissin 1993   74  0.4355  0.0078  0.0458  0.0476  0.0383  0.03
Kushner 1989   37  0.6179  0.0032  0.0628  0.1667  0.0443  0.08
Luisada 1991   19  0.6519  0.0113  0.129  0.4136  0.1616  0.26
Lushtak 2004   34  0.6165  0.0060  0.0548  0.0559  0.0472  0.04
Malcuzynski 1961   84  0.3415  0.0282  0.0381  0.0384  0.0378  0.03
Magaloff 1978   31  0.6229  0.0144  0.0443  0.0832  0.2228  0.13
Magin 1975   66  0.4775  0.0048  0.0554  0.0562  0.0465  0.04
Michalowski 1933   65  0.4760  0.0073  0.0384  0.0372  0.0482  0.03
Milkina 1970   8  0.689  0.0311  0.166  0.4423  0.337  0.38
Mohovich 1999   4  0.734  0.075  0.122  0.5212  0.481  0.50
Moravec 1969   53  0.5547  0.0056  0.0457  0.0413  0.4926  0.14
Morozova 2008   63  0.5077  0.0066  0.0376  0.0355  0.0484  0.03
Neighaus 1950   23  0.6362  0.0041  0.0542  0.0948  0.0654  0.07
Niedzielski 1931   56  0.5480  0.0030  0.0426  0.1938  0.1523  0.17
Ohlsson 1999   20  0.6522  0.0127  0.0624  0.2145  0.0730  0.12
Osinska 1989   16  0.6628  0.0110  0.1113  0.3840  0.1517  0.24
Pachmann 1927   67  0.4681  0.0084  0.0464  0.0465  0.0381  0.03
Paderewski 1930   46  0.5932  0.0068  0.0466  0.0450  0.0468  0.04
Perlemuter 1992   32  0.6266  0.0057  0.0551  0.0578  0.0363  0.04
Pierdomenico 2008   75  0.415  0.0628  0.0544  0.0853  0.0652  0.07
Poblocka 1999   83  0.3541  0.0059  0.0646  0.0652  0.0556  0.05
Rabcewiczowa 1932   28  0.6273  0.0039  0.0534  0.1340  0.1129  0.12
Rachmaninoff 1923   26  0.6352  0.0047  0.0463  0.0460  0.0464  0.04
Rangell 2001   78  0.4082  0.0074  0.0471  0.0438  0.1547  0.08
Richter 1976   87  0.1753  0.0087  0.0383  0.0379  0.0380  0.03
Rosen 1989   14  0.671  0.181  0.184  0.4716  0.405  0.43
Rosenthal 1930   81  0.3663  0.0080  0.0459  0.0479  0.0387  0.03
Rosenthal 1931   71  0.4570  0.0069  0.0553  0.0526  0.2731  0.12
Rosenthal 1931b   70  0.4546  0.0072  0.0550  0.0526  0.2337  0.11
Rosenthal 1931c   77  0.4157  0.0075  0.0386  0.0334  0.1950  0.08
Rosenthal 1931d   68  0.4649  0.0071  0.0385  0.0326  0.2448  0.08
Rossi 2007   5  0.7213  0.0219  0.0722  0.2310  0.5011  0.34
Rubinstein 1939   35  0.6117  0.0137  0.0438  0.1122  0.3022  0.18
Rubinstein 1952   64  0.4856  0.0042  0.0439  0.1022  0.4120  0.20
Rubinstein 1966   10  0.6734  0.0026  0.0530  0.1520  0.3718  0.24
Schilhawsky 1960   80  0.3878  0.0081  0.0465  0.0475  0.0469  0.04
Shebanova 2002   43  0.6048  0.0025  0.0621  0.2649  0.0535  0.11
Smith 1975   24  0.638  0.032  0.125  0.458  0.414  0.43
Sokolov 2002   58  0.5436  0.0063  0.0375  0.0360  0.0376  0.03
Sztompka 1959   18  0.6689  0.0022  0.0619  0.2846  0.0727  0.14
Tomsic 1995   79  0.4083  0.0077  0.0380  0.0335  0.2244  0.08
Uninsky 1932   62  0.5164  0.0052  0.0549  0.0553  0.0661  0.05
Uninsky 1971   82  0.3645  0.0070  0.0378  0.0347  0.0757  0.05
Wasowski 1980   45  0.5984  0.0040  0.0537  0.1160  0.0551  0.07
Zak 1937   50  0.5618  0.0153  0.0456  0.0474  0.0377  0.03
Zak 1951   55  0.5450  0.0054  0.0552  0.0575  0.0367  0.04
Random 1   90  -0.3276  0.0090  0.0190  0.0174  0.0390  0.02
Random 2   89  -0.0537  0.0089  0.0289  0.0247  0.0486  0.03
Random 3   88  0.0043  0.0088  0.0288  0.029  0.4840  0.10

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).