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  0.3232  0.0027  0.0640  0.1560  0.0443  0.08
Anderszewski 2003   17  0.3618  0.0112  0.1712  0.5534  0.336  0.43
Ashkenazy 1981   2  0.4510  0.027  0.173  0.6921  0.492  0.58
Bacha 2000   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Badura 1965   39  0.3021  0.0023  0.0624  0.3032  0.2019  0.24
Barbosa 1983   23  0.3469  0.0030  0.0726  0.2850  0.0729  0.14
Biret 1990   56  0.2766  0.0078  0.0375  0.0379  0.0383  0.03
Blet 2003   67  0.2450  0.0057  0.0461  0.0464  0.0467  0.04
Block 1995   54  0.2748  0.0046  0.0551  0.0576  0.0370  0.04
Blumental 1952   1  0.471  0.261  0.261  0.7814  0.581  0.67
Boshniakovich 1969   37  0.3049  0.0052  0.0650  0.0675  0.0454  0.05
Brailowsky 1960   19  0.3442  0.0019  0.1019  0.3928  0.398  0.39
Bunin 1987   70  0.2439  0.0072  0.0466  0.0482  0.0380  0.03
Bunin 1987b   66  0.2464  0.0071  0.0460  0.0476  0.0376  0.03
Chiu 1999   30  0.3217  0.0125  0.0633  0.2144  0.1127  0.15
Cohen 1997   43  0.3076  0.0042  0.0736  0.2034  0.3418  0.26
Cortot 1951   42  0.3044  0.0043  0.0834  0.2120  0.4415  0.30
Csalog 1996   87  0.1471  0.0086  0.0286  0.0279  0.0388  0.02
Czerny 1949   38  0.3038  0.0039  0.0539  0.1847  0.0739  0.11
Czerny 1990   57  0.2653  0.0054  0.0555  0.0559  0.0555  0.05
Duchoud 2007   62  0.2643  0.0059  0.0470  0.0481  0.0468  0.04
Ezaki 2006   3  0.449  0.036  0.136  0.6526  0.464  0.55
Falvay 1989   14  0.3726  0.0024  0.0729  0.2752  0.0536  0.12
Farrell 1958   65  0.2545  0.0068  0.0462  0.0467  0.0461  0.04
Ferenczy 1958   48  0.2930  0.0056  0.0553  0.0537  0.3433  0.13
Fliere 1977   52  0.2856  0.0031  0.0744  0.1268  0.0446  0.07
Fou 1978   11  0.397  0.0411  0.2013  0.5434  0.2710  0.38
Francois 1956   68  0.2437  0.0040  0.0643  0.1437  0.1728  0.15
Friedman 1923   79  0.1886  0.0074  0.0380  0.0382  0.0384  0.03
Friedman 1923b   81  0.1887  0.0075  0.0379  0.0385  0.0381  0.03
Friedman 1930   80  0.1889  0.0080  0.0378  0.0369  0.0477  0.03
Garcia 2007   73  0.2372  0.0070  0.0465  0.0465  0.0569  0.04
Garcia 2007b   61  0.2647  0.0063  0.0469  0.0475  0.0471  0.04
Gierzod 1998   4  0.436  0.053  0.142  0.7218  0.443  0.56
Gornostaeva 1994   72  0.2433  0.0076  0.0382  0.0374  0.0382  0.03
Groot 1988   32  0.3159  0.0044  0.0841  0.1557  0.0541  0.09
Harasiewicz 1955   26  0.3311  0.0221  0.1018  0.4064  0.0532  0.14
Hatto 1993   6  0.412  0.162  0.179  0.5934  0.2012  0.34
Hatto 1997   10  0.4022  0.0013  0.1716  0.4946  0.0624  0.17
Horowitz 1949   77  0.1984  0.0082  0.0468  0.0463  0.0462  0.04
Indjic 1988   7  0.4135  0.009  0.2010  0.5845  0.0920  0.23
Kapell 1951   15  0.3614  0.0116  0.2415  0.4942  0.0921  0.21
Kissin 1993   46  0.2967  0.0050  0.0554  0.0557  0.0652  0.05
Kushner 1989   5  0.434  0.065  0.125  0.6535  0.249  0.39
Luisada 1991   69  0.2477  0.0069  0.0459  0.0476  0.0457  0.04
Lushtak 2004   41  0.3057  0.0041  0.0638  0.1987  0.0344  0.08
Malcuzynski 1961   8  0.405  0.068  0.178  0.6147  0.0722  0.21
Magaloff 1978   33  0.3155  0.0045  0.0745  0.0777  0.0348  0.05
Magin 1975   76  0.2288  0.0067  0.0558  0.0575  0.0459  0.04
Michalowski 1933   84  0.1585  0.0077  0.0374  0.0361  0.0666  0.04
Milkina 1970   13  0.3825  0.0014  0.1411  0.5641  0.1713  0.31
Mohovich 1999   22  0.3440  0.0020  0.0920  0.3854  0.0531  0.14
Moravec 1969   47  0.2975  0.0053  0.0648  0.0671  0.0447  0.05
Morozova 2008   16  0.3612  0.0115  0.1514  0.5338  0.2211  0.34
Neighaus 1950   51  0.2883  0.0048  0.0746  0.0776  0.0356  0.05
Niedzielski 1931   63  0.2515  0.0155  0.0556  0.0550  0.0550  0.05
Ohlsson 1999   35  0.3116  0.0118  0.1021  0.3475  0.0340  0.10
Osinska 1989   74  0.2319  0.0058  0.0372  0.0376  0.0374  0.03
Pachmann 1927   64  0.2536  0.0066  0.0464  0.0460  0.0564  0.04
Paderewski 1930   59  0.268  0.0422  0.1028  0.2735  0.3216  0.29
Perlemuter 1992   86  0.1570  0.0085  0.0384  0.0380  0.0373  0.03
Pierdomenico 2008   58  0.2654  0.0073  0.0463  0.0465  0.0458  0.04
Poblocka 1999   78  0.1841  0.0081  0.0288  0.0287  0.0285  0.02
Rabcewiczowa 1932   53  0.2852  0.0062  0.0371  0.0361  0.0560  0.04
Rachmaninoff 1923   82  0.1765  0.0083  0.0377  0.0386  0.0287  0.02
Rangell 2001   40  0.3034  0.0038  0.0627  0.2750  0.0634  0.13
Richter 1976   50  0.2962  0.0064  0.0557  0.0581  0.0463  0.04
Rosen 1989   49  0.2960  0.0061  0.0373  0.0378  0.0379  0.03
Rosenthal 1930   75  0.2274  0.0079  0.0383  0.0369  0.0478  0.03
Rosenthal 1931   44  0.3024  0.0034  0.0732  0.2125  0.4414  0.30
Rosenthal 1931b   29  0.3231  0.0028  0.0622  0.3319  0.537  0.42
Rosenthal 1931c   31  0.3213  0.0136  0.0642  0.1554  0.0542  0.09
Rosenthal 1931d   60  0.2651  0.0051  0.0552  0.0526  0.3037  0.12
Rossi 2007   85  0.1578  0.0087  0.0381  0.0377  0.0286  0.02
Rubinstein 1939   20  0.3423  0.0017  0.1317  0.4734  0.1617  0.27
Rubinstein 1952   36  0.3163  0.0037  0.0531  0.2274  0.0345  0.08
Rubinstein 1966   9  0.4020  0.0010  0.184  0.6662  0.0623  0.20
Schilhawsky 1960   25  0.3346  0.0033  0.0737  0.2041  0.1325  0.16
Shebanova 2002   18  0.3581  0.0029  0.0623  0.3254  0.0630  0.14
Smith 1975   55  0.2758  0.0047  0.0647  0.0674  0.0449  0.05
Sokolov 2002   24  0.3429  0.0035  0.0535  0.2045  0.0735  0.12
Sztompka 1959   71  0.2479  0.0065  0.0467  0.0482  0.0465  0.04
Tomsic 1995   21  0.3427  0.0032  0.0730  0.2561  0.0538  0.11
Uninsky 1932   34  0.3173  0.0026  0.0725  0.2843  0.0926  0.16
Uninsky 1971   12  0.383  0.114  0.137  0.6432  0.335  0.46
Wasowski 1980   83  0.1682  0.0084  0.0285  0.0269  0.0572  0.03
Zak 1937   45  0.3068  0.0060  0.0376  0.0370  0.0475  0.03
Zak 1951   28  0.3228  0.0049  0.0649  0.0666  0.0451  0.05
Random 1   90  -0.1090  0.0090  0.0190  0.0185  0.0290  0.01
Random 2   88  0.0161  0.0088  0.0287  0.0242  0.1153  0.05
Random 3   89  -0.0880  0.0089  0.0189  0.0160  0.0389  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).