Bacha 2000

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   59  0.3333  0.0059  0.0385  0.0378  0.0378  0.03
Anderszewski 2003   12  0.4326  0.0010  0.096  0.5643  0.158  0.29
Ashkenazy 1981   2  0.494  0.047  0.0810  0.506  0.512  0.50
Bacha 2000   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Badura 1965   66  0.3116  0.0161  0.0379  0.0375  0.0381  0.03
Barbosa 1983   27  0.3865  0.0039  0.0637  0.2465  0.0539  0.11
Biret 1990   23  0.3954  0.0048  0.0547  0.0588  0.0284  0.03
Blet 2003   30  0.379  0.0222  0.0733  0.2624  0.2510  0.25
Block 1995   73  0.2847  0.0075  0.0376  0.0362  0.0565  0.04
Blumental 1952   9  0.4442  0.0017  0.0911  0.4964  0.0524  0.16
Boshniakovich 1969   47  0.3589  0.0066  0.0368  0.0373  0.0383  0.03
Brailowsky 1960   46  0.3529  0.0063  0.0462  0.0463  0.0557  0.04
Bunin 1987   38  0.3636  0.0036  0.0632  0.2853  0.0536  0.12
Bunin 1987b   35  0.3624  0.0133  0.0624  0.3338  0.1711  0.24
Chiu 1999   75  0.2817  0.0171  0.0461  0.0453  0.0650  0.05
Cohen 1997   45  0.3567  0.0027  0.0620  0.3912  0.354  0.37
Cortot 1951   39  0.3613  0.0134  0.0630  0.3021  0.455  0.37
Csalog 1996   61  0.3231  0.0049  0.0550  0.0574  0.0463  0.04
Czerny 1949   22  0.3990  0.0031  0.0819  0.4049  0.0722  0.17
Czerny 1990   42  0.3511  0.0120  0.0731  0.2982  0.0340  0.09
Duchoud 2007   25  0.3812  0.0129  0.0729  0.3020  0.483  0.38
Ezaki 2006   3  0.497  0.024  0.132  0.6249  0.0616  0.19
Falvay 1989   36  0.3658  0.0067  0.0381  0.0364  0.0470  0.03
Farrell 1958   6  0.452  0.212  0.304  0.5922  0.451  0.52
Ferenczy 1958   84  0.2491  0.0084  0.0287  0.0279  0.0388  0.02
Fliere 1977   17  0.4121  0.016  0.1118  0.4142  0.1312  0.23
Fou 1978   19  0.4025  0.0114  0.0827  0.3261  0.0530  0.13
Francois 1956   64  0.3114  0.0119  0.0726  0.3241  0.1613  0.23
Friedman 1923   82  0.2553  0.0058  0.0374  0.0366  0.0566  0.04
Friedman 1923b   83  0.2576  0.0054  0.0459  0.0448  0.0654  0.05
Friedman 1930   87  0.1584  0.0088  0.0369  0.0386  0.0376  0.03
Garcia 2007   85  0.2259  0.0085  0.0371  0.0373  0.0480  0.03
Garcia 2007b   79  0.2782  0.0053  0.0366  0.0371  0.0485  0.03
Gierzod 1998   28  0.3745  0.0051  0.0549  0.0588  0.0279  0.03
Gornostaeva 1994   76  0.2866  0.0070  0.0370  0.0385  0.0290  0.02
Groot 1988   14  0.4223  0.0118  0.1214  0.4645  0.1014  0.21
Harasiewicz 1955   40  0.3618  0.0142  0.0839  0.2266  0.0442  0.09
Hatto 1993   11  0.4360  0.008  0.1012  0.4757  0.0428  0.14
Hatto 1997   13  0.4239  0.009  0.1013  0.4667  0.0426  0.14
Horowitz 1949   70  0.2969  0.0079  0.0458  0.0449  0.0652  0.05
Indjic 1988   15  0.4185  0.0016  0.0815  0.4359  0.0431  0.13
Kapell 1951   31  0.3755  0.0037  0.0634  0.2565  0.0538  0.11
Kissin 1993   55  0.3338  0.0077  0.0457  0.0472  0.0461  0.04
Kushner 1989   18  0.4035  0.0024  0.0723  0.3371  0.0437  0.11
Luisada 1991   74  0.2840  0.0057  0.0367  0.0377  0.0467  0.03
Lushtak 2004   51  0.3450  0.0026  0.0622  0.3859  0.0527  0.14
Malcuzynski 1961   5  0.4528  0.0013  0.119  0.5170  0.0425  0.14
Magaloff 1978   10  0.4419  0.0121  0.0716  0.4254  0.0623  0.16
Magin 1975   78  0.2786  0.0083  0.0365  0.0382  0.0371  0.03
Michalowski 1933   88  0.1387  0.0086  0.0288  0.0284  0.0287  0.02
Milkina 1970   4  0.4732  0.005  0.155  0.5857  0.0617  0.19
Mohovich 1999   56  0.3343  0.0038  0.0643  0.1776  0.0445  0.08
Moravec 1969   43  0.3544  0.0062  0.0383  0.0364  0.0555  0.04
Morozova 2008   34  0.3680  0.0035  0.0628  0.3164  0.0534  0.12
Neighaus 1950   60  0.3377  0.0046  0.0646  0.0637  0.1541  0.09
Niedzielski 1931   68  0.3022  0.0160  0.0382  0.0347  0.0851  0.05
Ohlsson 1999   24  0.3920  0.0130  0.0721  0.3970  0.0433  0.12
Osinska 1989   62  0.3270  0.0056  0.0460  0.0483  0.0368  0.03
Pachmann 1927   81  0.2556  0.0082  0.0384  0.0372  0.0375  0.03
Paderewski 1930   71  0.295  0.0332  0.0640  0.2117  0.389  0.28
Perlemuter 1992   86  0.1771  0.0087  0.0286  0.0288  0.0286  0.02
Pierdomenico 2008   50  0.3572  0.0074  0.0373  0.0353  0.0560  0.04
Poblocka 1999   69  0.2934  0.0069  0.0375  0.0371  0.0558  0.04
Rabcewiczowa 1932   49  0.3561  0.0044  0.0841  0.1870  0.0443  0.08
Rachmaninoff 1923   37  0.3627  0.0028  0.0636  0.2543  0.1120  0.17
Rangell 2001   52  0.3410  0.0115  0.0725  0.3242  0.1118  0.19
Richter 1976   33  0.3757  0.0050  0.0452  0.0478  0.0374  0.03
Rosen 1989   44  0.3588  0.0064  0.0455  0.0483  0.0382  0.03
Rosenthal 1930   58  0.3362  0.0055  0.0456  0.0449  0.0653  0.05
Rosenthal 1931   77  0.2874  0.0081  0.0363  0.0354  0.0562  0.04
Rosenthal 1931b   54  0.3348  0.0065  0.0364  0.0337  0.2146  0.08
Rosenthal 1931c   29  0.378  0.0223  0.0844  0.1533  0.2219  0.18
Rosenthal 1931d   72  0.2978  0.0080  0.0453  0.0443  0.1347  0.07
Rossi 2007   63  0.3268  0.0072  0.0380  0.0367  0.0469  0.03
Rubinstein 1939   7  0.4415  0.0111  0.097  0.5440  0.186  0.31
Rubinstein 1952   16  0.4173  0.0025  0.0617  0.4156  0.0529  0.14
Rubinstein 1966   8  0.443  0.043  0.153  0.6052  0.0715  0.20
Schilhawsky 1960   26  0.3849  0.0045  0.0745  0.1474  0.0349  0.06
Shebanova 2002   65  0.3183  0.0076  0.0378  0.0386  0.0377  0.03
Smith 1975   53  0.3363  0.0052  0.0451  0.0475  0.0459  0.04
Sokolov 2002   21  0.3930  0.0041  0.0635  0.2553  0.0632  0.12
Sztompka 1959   57  0.3381  0.0043  0.0742  0.1864  0.0444  0.08
Tomsic 1995   32  0.3737  0.0047  0.0548  0.0552  0.0748  0.06
Uninsky 1932   67  0.3046  0.0040  0.0638  0.2351  0.0635  0.12
Uninsky 1971   20  0.396  0.0212  0.128  0.5142  0.177  0.29
Wasowski 1980   80  0.2579  0.0078  0.0454  0.0477  0.0556  0.04
Zak 1937   48  0.3575  0.0073  0.0377  0.0387  0.0372  0.03
Zak 1951   41  0.3641  0.0068  0.0372  0.0372  0.0473  0.03
Average   1  0.551  0.431  0.431  0.7673  0.0421  0.17
Random 1   91  -0.1664  0.0091  0.0191  0.0187  0.0291  0.01
Random 2   89  -0.0552  0.0089  0.0289  0.0244  0.0864  0.04
Random 3   90  -0.1151  0.0090  0.0190  0.0155  0.0489  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).