Indjic 1988

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   66  0.2749  0.0049  0.0552  0.0545  0.0953  0.07
Anderszewski 2003   6  0.5650  0.006  0.239  0.508  0.537  0.51
Ashkenazy 1981   3  0.6622  0.003  0.453  0.813  0.663  0.73
Bacha 2000   15  0.453  0.0035  0.0536  0.1817  0.4720  0.29
Badura 1965   79  0.2235  0.0061  0.0548  0.0559  0.0471  0.04
Barbosa 1983   31  0.387  0.0012  0.1015  0.3830  0.3811  0.38
Biret 1990   20  0.4336  0.0023  0.0718  0.3636  0.2224  0.28
Blet 2003   12  0.4851  0.0015  0.1514  0.3921  0.3712  0.38
Block 1995   87  0.1352  0.0079  0.0287  0.0271  0.0388  0.02
Blumental 1952   21  0.4353  0.0024  0.0729  0.2419  0.3323  0.28
Boshniakovich 1969   75  0.248  0.0075  0.0470  0.0477  0.0381  0.03
Brailowsky 1960   67  0.2754  0.0070  0.0379  0.0368  0.0476  0.03
Bunin 1987   19  0.4355  0.0026  0.1019  0.3636  0.1926  0.26
Bunin 1987b   17  0.4456  0.0025  0.0917  0.3636  0.1925  0.26
Chiu 1999   24  0.4137  0.0016  0.1020  0.3428  0.3915  0.36
Cohen 1997   68  0.2738  0.0071  0.0284  0.0238  0.1563  0.05
Cortot 1951   78  0.2339  0.0082  0.0286  0.0271  0.0390  0.02
Csalog 1996   65  0.2723  0.0052  0.0554  0.0531  0.2939  0.12
Czerny 1949   85  0.1957  0.0073  0.0371  0.0366  0.0379  0.03
Czerny 1990   37  0.3718  0.0029  0.0524  0.2844  0.1132  0.18
Duchoud 2007   7  0.5624  0.008  0.257  0.5312  0.498  0.51
Ezaki 2006   40  0.3640  0.0031  0.0627  0.2545  0.0836  0.14
Falvay 1989   41  0.364  0.0051  0.0466  0.0453  0.0565  0.04
Farrell 1958   61  0.2925  0.0085  0.0374  0.0365  0.0377  0.03
Ferenczy 1958   64  0.2858  0.0047  0.0465  0.0436  0.1650  0.08
Fliere 1977   22  0.4259  0.0030  0.0728  0.2443  0.1135  0.16
Fou 1978   35  0.3741  0.0058  0.0467  0.0458  0.0566  0.04
Francois 1956   83  0.1919  0.0069  0.0373  0.0356  0.0485  0.03
Friedman 1923   74  0.2542  0.0081  0.0383  0.0350  0.0674  0.04
Friedman 1923b   72  0.2660  0.0080  0.0288  0.0250  0.0682  0.03
Friedman 1930   50  0.3226  0.0039  0.0637  0.1746  0.0740  0.11
Garcia 2007   70  0.2661  0.0074  0.0372  0.0348  0.0669  0.04
Garcia 2007b   49  0.3211  0.0038  0.0535  0.185  0.5417  0.31
Gierzod 1998   30  0.3962  0.0041  0.0934  0.2128  0.1930  0.20
Gornostaeva 1994   81  0.2163  0.0076  0.0382  0.0385  0.0289  0.02
Groot 1988   48  0.3343  0.0056  0.0551  0.0577  0.0372  0.04
Harasiewicz 1955   58  0.3044  0.0020  0.0726  0.2765  0.0442  0.10
Hatto 1993   1  0.981  0.991  0.971  0.991  0.991  0.99
Hatto 1997   2  0.942  0.002  0.902  0.961  0.952  0.95
Horowitz 1949   43  0.3564  0.0055  0.0561  0.0553  0.0561  0.05
Indjic 1988   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kapell 1951   10  0.4965  0.0011  0.098  0.5326  0.419  0.47
Kissin 1993   52  0.3166  0.0053  0.0468  0.0441  0.1849  0.08
Kushner 1989   34  0.3731  0.0046  0.0560  0.0546  0.0659  0.05
Luisada 1991   4  0.5867  0.005  0.235  0.693  0.674  0.68
Lushtak 2004   25  0.4132  0.0032  0.0633  0.2265  0.0446  0.09
Malcuzynski 1961   33  0.3868  0.0054  0.0556  0.0567  0.0467  0.04
Magaloff 1978   57  0.3069  0.0064  0.0555  0.0565  0.0364  0.04
Magin 1975   9  0.5514  0.009  0.3111  0.476  0.566  0.51
Michalowski 1933   44  0.3527  0.0017  0.1016  0.3722  0.3814  0.37
Milkina 1970   29  0.3970  0.0057  0.0464  0.0446  0.0760  0.05
Mohovich 1999   56  0.309  0.0062  0.0558  0.0543  0.1451  0.08
Moravec 1969   51  0.3271  0.0050  0.0549  0.0546  0.0756  0.06
Morozova 2008   18  0.4428  0.0014  0.1223  0.3040  0.1231  0.19
Neighaus 1950   23  0.4233  0.0037  0.0539  0.1582  0.0355  0.07
Niedzielski 1931   60  0.3045  0.0034  0.0638  0.1624  0.2428  0.20
Ohlsson 1999   5  0.585  0.007  0.186  0.567  0.505  0.53
Osinska 1989   82  0.2029  0.0072  0.0376  0.0380  0.0475  0.03
Pachmann 1927   71  0.2672  0.0066  0.0550  0.0539  0.1545  0.09
Paderewski 1930   53  0.3173  0.0060  0.0557  0.0533  0.1844  0.09
Perlemuter 1992   80  0.2215  0.0078  0.0285  0.0286  0.0286  0.02
Pierdomenico 2008   63  0.2874  0.0059  0.0559  0.0547  0.0658  0.05
Poblocka 1999   28  0.4075  0.0019  0.0812  0.4133  0.2218  0.30
Rabcewiczowa 1932   86  0.1876  0.0083  0.0377  0.0381  0.0287  0.02
Rachmaninoff 1923   59  0.3046  0.0045  0.0545  0.0961  0.0457  0.06
Rangell 2001   62  0.2877  0.0068  0.0562  0.0542  0.1647  0.09
Richter 1976   38  0.3678  0.0043  0.0543  0.1338  0.1637  0.14
Rosen 1989   54  0.3030  0.0067  0.0646  0.0650  0.0462  0.05
Rosenthal 1930   55  0.3079  0.0063  0.0563  0.0561  0.0470  0.04
Rosenthal 1931   77  0.2380  0.0086  0.0381  0.0368  0.0378  0.03
Rosenthal 1931b   76  0.2381  0.0087  0.0469  0.0461  0.0473  0.04
Rosenthal 1931c   69  0.2782  0.0084  0.0375  0.0380  0.0384  0.03
Rosenthal 1931d   84  0.1983  0.0077  0.0380  0.0369  0.0383  0.03
Rossi 2007   91  -0.1684  0.0091  0.0191  0.0189  0.0191  0.01
Rubinstein 1939   16  0.4520  0.0021  0.0630  0.2414  0.4316  0.32
Rubinstein 1952   73  0.2547  0.0065  0.0647  0.0640  0.1348  0.09
Rubinstein 1966   14  0.4512  0.0040  0.0640  0.1533  0.2829  0.20
Schilhawsky 1960   45  0.3448  0.0028  0.1025  0.2836  0.2127  0.24
Shebanova 2002   13  0.4616  0.0010  0.1510  0.4826  0.3810  0.43
Smith 1975   42  0.3585  0.0022  0.0632  0.2266  0.0443  0.09
Sokolov 2002   11  0.4886  0.0013  0.0921  0.3434  0.2719  0.30
Sztompka 1959   47  0.3487  0.0048  0.0553  0.0577  0.0468  0.04
Tomsic 1995   26  0.4017  0.0044  0.0544  0.1050  0.0552  0.07
Uninsky 1932   39  0.3613  0.0033  0.0531  0.2345  0.0938  0.14
Uninsky 1971   32  0.3810  0.0027  0.1013  0.4040  0.2122  0.29
Wasowski 1980   27  0.4021  0.0018  0.1022  0.3329  0.2521  0.29
Zak 1937   36  0.3788  0.0042  0.0642  0.1338  0.2133  0.17
Zak 1951   46  0.3434  0.0036  0.0641  0.1540  0.1934  0.17
Average   8  0.556  0.004  0.234  0.7540  0.1913  0.38
Random 1   90  0.0089  0.0090  0.0190  0.0139  0.1180  0.03
Random 2   89  0.0690  0.0088  0.0378  0.038  0.4141  0.11
Random 3   88  0.0991  0.0089  0.0289  0.0228  0.2854  0.07

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).