Biret 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   16  0.7024  0.0131  0.0627  0.2528  0.2429  0.24
Anderszewski 2003   50  0.5957  0.0037  0.0541  0.1422  0.3233  0.21
Ashkenazy 1981   22  0.6839  0.0011  0.088  0.4514  0.3910  0.42
Bacha 2000   20  0.6920  0.0127  0.0831  0.192  0.5617  0.33
Badura 1965   80  0.4159  0.0068  0.0378  0.0369  0.0481  0.03
Barbosa 1983   54  0.5763  0.0014  0.0816  0.319  0.4413  0.37
Biret 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Blet 2003   27  0.6658  0.0046  0.0548  0.0543  0.1154  0.07
Block 1995   70  0.4888  0.0084  0.0281  0.0272  0.0389  0.02
Blumental 1952   79  0.4255  0.0054  0.0456  0.0425  0.2149  0.09
Boshniakovich 1969   55  0.5775  0.0080  0.0371  0.0374  0.0382  0.03
Brailowsky 1960   30  0.6421  0.0150  0.0453  0.0444  0.1058  0.06
Bunin 1987   46  0.6167  0.0053  0.0549  0.0564  0.0471  0.04
Bunin 1987b   45  0.6176  0.0052  0.0454  0.0460  0.0464  0.04
Chiu 1999   53  0.586  0.048  0.096  0.478  0.535  0.50
Cohen 1997   78  0.4238  0.0062  0.0461  0.0411  0.4346  0.13
Cortot 1951   31  0.6466  0.0044  0.0644  0.1225  0.3141  0.19
Csalog 1996   38  0.6271  0.0047  0.0746  0.0714  0.4642  0.18
Czerny 1949   28  0.6634  0.0039  0.0533  0.1933  0.2436  0.21
Czerny 1990   17  0.7027  0.0140  0.0535  0.1848  0.0550  0.09
Duchoud 2007   3  0.7911  0.022  0.133  0.593  0.523  0.55
Ezaki 2006   14  0.7119  0.0124  0.1015  0.3343  0.0943  0.17
Falvay 1989   41  0.625  0.0417  0.0720  0.3031  0.1928  0.24
Farrell 1958   5  0.7718  0.0119  0.0621  0.284  0.5012  0.37
Ferenczy 1958   42  0.6264  0.0036  0.0643  0.1222  0.3835  0.21
Fliere 1977   7  0.7684  0.0021  0.0719  0.3040  0.1337  0.20
Fou 1978   64  0.5342  0.0049  0.0547  0.0549  0.0659  0.05
Francois 1956   35  0.6316  0.0138  0.0540  0.1538  0.1345  0.14
Friedman 1923   88  0.1685  0.0088  0.0288  0.0277  0.0488  0.03
Friedman 1923b   87  0.1778  0.0087  0.0280  0.0277  0.0483  0.03
Friedman 1930   85  0.3169  0.0069  0.0374  0.0348  0.0568  0.04
Garcia 2007   67  0.5132  0.0067  0.0458  0.0425  0.2947  0.11
Garcia 2007b   84  0.3525  0.0177  0.0282  0.0211  0.2757  0.07
Gierzod 1998   13  0.7226  0.0116  0.0714  0.3413  0.3318  0.33
Gornostaeva 1994   15  0.714  0.0445  0.0645  0.1134  0.1944  0.14
Groot 1988   47  0.6172  0.0071  0.0377  0.0387  0.0291  0.02
Harasiewicz 1955   83  0.3765  0.0056  0.0457  0.0470  0.0385  0.03
Hatto 1993   66  0.5186  0.0013  0.0828  0.249  0.4519  0.33
Hatto 1997   48  0.603  0.056  0.1212  0.359  0.4711  0.41
Horowitz 1949   62  0.5379  0.0072  0.0285  0.0259  0.0476  0.03
Indjic 1988   61  0.5460  0.0010  0.0824  0.269  0.4615  0.35
Kapell 1951   8  0.7573  0.0015  0.0710  0.4321  0.429  0.42
Kissin 1993   59  0.5546  0.0059  0.0455  0.0452  0.0567  0.04
Kushner 1989   9  0.7352  0.0042  0.0736  0.1636  0.2240  0.19
Luisada 1991   18  0.702  0.087  0.0811  0.395  0.468  0.42
Lushtak 2004   34  0.637  0.045  0.127  0.4617  0.407  0.43
Malcuzynski 1961   19  0.7054  0.0055  0.0451  0.0451  0.0565  0.04
Magaloff 1978   32  0.6443  0.0048  0.0550  0.0570  0.0362  0.04
Magin 1975   72  0.4761  0.0073  0.0373  0.0359  0.0474  0.03
Michalowski 1933   77  0.4362  0.0034  0.0538  0.1623  0.3927  0.25
Milkina 1970   26  0.678  0.0318  0.0632  0.1926  0.2631  0.22
Mohovich 1999   29  0.6580  0.0060  0.0452  0.0449  0.0470  0.04
Moravec 1969   37  0.6370  0.0032  0.0537  0.1617  0.3926  0.25
Morozova 2008   52  0.5881  0.0029  0.0626  0.2523  0.1834  0.21
Neighaus 1950   12  0.7249  0.0020  0.0613  0.3429  0.3120  0.32
Niedzielski 1931   57  0.5628  0.0175  0.0369  0.0329  0.2152  0.08
Ohlsson 1999   1  0.831  0.321  0.322  0.602  0.621  0.61
Osinska 1989   6  0.7623  0.019  0.104  0.522  0.592  0.55
Pachmann 1927   74  0.4445  0.0070  0.0284  0.0264  0.0478  0.03
Paderewski 1930   60  0.5514  0.0166  0.0464  0.0452  0.0466  0.04
Perlemuter 1992   76  0.4477  0.0074  0.0372  0.0373  0.0372  0.03
Pierdomenico 2008   33  0.6340  0.0043  0.0642  0.1317  0.3238  0.20
Poblocka 1999   4  0.7817  0.014  0.125  0.496  0.534  0.51
Rabcewiczowa 1932   24  0.6813  0.0222  0.0818  0.3013  0.4414  0.36
Rachmaninoff 1923   65  0.5236  0.0057  0.0460  0.0462  0.0463  0.04
Rangell 2001   25  0.6722  0.0151  0.0459  0.0442  0.1256  0.07
Richter 1976   73  0.4550  0.0076  0.0366  0.0359  0.0477  0.03
Rosen 1989   10  0.7329  0.0141  0.0634  0.1814  0.4623  0.29
Rosenthal 1930   58  0.5668  0.0079  0.0370  0.0352  0.0480  0.03
Rosenthal 1931   82  0.3974  0.0085  0.0287  0.0262  0.0479  0.03
Rosenthal 1931b   81  0.4182  0.0083  0.0286  0.0263  0.0486  0.03
Rosenthal 1931c   69  0.5087  0.0081  0.0375  0.0365  0.0387  0.03
Rosenthal 1931d   71  0.4747  0.0082  0.0283  0.0250  0.0584  0.03
Rossi 2007   86  0.2253  0.0086  0.0376  0.0371  0.0373  0.03
Rubinstein 1939   75  0.4451  0.0078  0.0379  0.0324  0.3648  0.10
Rubinstein 1952   63  0.5333  0.0063  0.0462  0.0433  0.2051  0.09
Rubinstein 1966   40  0.6283  0.0064  0.0367  0.0340  0.1555  0.07
Schilhawsky 1960   51  0.5989  0.0023  0.0817  0.3125  0.2921  0.30
Shebanova 2002   21  0.6930  0.0130  0.0622  0.2722  0.4216  0.34
Smith 1975   23  0.6815  0.0112  0.099  0.4331  0.2022  0.29
Sokolov 2002   11  0.7235  0.0033  0.0529  0.2235  0.2530  0.23
Sztompka 1959   49  0.6044  0.0061  0.0463  0.0443  0.1453  0.07
Tomsic 1995   39  0.6256  0.0058  0.0365  0.0370  0.0375  0.03
Uninsky 1932   68  0.5041  0.0065  0.0368  0.0354  0.0569  0.04
Uninsky 1971   43  0.6231  0.0035  0.0539  0.1531  0.2932  0.21
Wasowski 1980   44  0.6137  0.0028  0.0630  0.196  0.3825  0.27
Zak 1937   36  0.6312  0.0226  0.0825  0.2523  0.3124  0.28
Zak 1951   56  0.579  0.0325  0.0523  0.2643  0.1539  0.20
Average   2  0.8310  0.033  0.221  0.6521  0.326  0.46
Random 1   90  -0.0448  0.0091  0.0191  0.0163  0.0490  0.02
Random 2   91  -0.0890  0.0090  0.0290  0.0243  0.1160  0.05
Random 3   89  0.1391  0.0089  0.0289  0.0243  0.1161  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).