Indjic 1988

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   49  0.3823  0.0051  0.0560  0.0522  0.4448  0.15
Anderszewski 2003   48  0.389  0.0044  0.0744  0.1329  0.4043  0.23
Ashkenazy 1981   7  0.513  0.0013  0.1211  0.626  0.6911  0.65
Bacha 2000   35  0.4146  0.0045  0.0945  0.0910  0.5842  0.23
Badura 1965   67  0.3319  0.0066  0.0567  0.0544  0.1066  0.07
Barbosa 1983   12  0.5024  0.0012  0.119  0.665  0.6810  0.67
Biret 1990   38  0.4036  0.0055  0.0561  0.0525  0.4449  0.15
Blet 2003   28  0.4256  0.0019  0.1224  0.419  0.5323  0.47
Block 1995   66  0.3470  0.0052  0.0652  0.0656  0.0575  0.05
Blumental 1952   9  0.5147  0.0010  0.128  0.682  0.776  0.72
Boshniakovich 1969   56  0.3657  0.0042  0.0640  0.1853  0.0661  0.10
Brailowsky 1960   81  0.2471  0.0086  0.0473  0.0483  0.0384  0.03
Bunin 1987   45  0.3858  0.0024  0.1034  0.288  0.5530  0.39
Bunin 1987b   50  0.3772  0.0026  0.0836  0.2311  0.5333  0.35
Chiu 1999   21  0.4559  0.0031  0.0926  0.3913  0.5124  0.45
Cohen 1997   77  0.2673  0.0078  0.0659  0.0647  0.0770  0.06
Cortot 1951   86  0.2220  0.0084  0.0385  0.0354  0.0681  0.04
Csalog 1996   61  0.3548  0.0065  0.0750  0.0752  0.0668  0.06
Czerny 1949   71  0.3049  0.0071  0.0478  0.0441  0.2163  0.09
Czerny 1990   5  0.525  0.006  0.195  0.7311  0.754  0.74
Duchoud 2007   57  0.3660  0.0059  0.0570  0.0521  0.3555  0.13
Ezaki 2006   63  0.3410  0.0069  0.0657  0.0663  0.0571  0.05
Falvay 1989   18  0.4837  0.0029  0.0922  0.4615  0.4425  0.45
Farrell 1958   78  0.2674  0.0074  0.0475  0.0462  0.0578  0.04
Ferenczy 1958   80  0.2550  0.0082  0.0384  0.0345  0.0974  0.05
Fliere 1977   19  0.4738  0.0023  0.1320  0.5236  0.2531  0.36
Fou 1978   39  0.4025  0.0053  0.0749  0.0751  0.0567  0.06
Francois 1956   76  0.2675  0.0077  0.0471  0.0457  0.0483  0.04
Friedman 1923   62  0.3526  0.0062  0.0656  0.0629  0.3650  0.15
Friedman 1923b   64  0.3476  0.0063  0.0751  0.0731  0.3746  0.16
Friedman 1930   33  0.4239  0.0030  0.0929  0.3117  0.5528  0.41
Garcia 2007   68  0.338  0.0046  0.0568  0.0518  0.4153  0.14
Garcia 2007b   22  0.447  0.007  0.1812  0.622  0.759  0.68
Gierzod 1998   37  0.4027  0.0034  0.0630  0.3026  0.3435  0.32
Gornostaeva 1994   74  0.2877  0.0079  0.0480  0.0482  0.0386  0.03
Groot 1988   6  0.5228  0.005  0.163  0.753  0.735  0.74
Harasiewicz 1955   10  0.5040  0.0017  0.1214  0.5822  0.4319  0.50
Hatto 1993   1  0.971  0.991  0.981  1.001  1.001  1.00
Hatto 1997   2  0.912  0.012  0.962  0.991  0.992  0.99
Horowitz 1949   59  0.3551  0.0061  0.0562  0.0519  0.5245  0.16
Indjic 1988   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kapell 1951   11  0.5029  0.0018  0.1710  0.639  0.5214  0.57
Kissin 1993   15  0.4852  0.0015  0.1213  0.6114  0.6512  0.63
Kushner 1989   17  0.4814  0.0020  0.1217  0.5423  0.4120  0.47
Luisada 1991   4  0.5312  0.004  0.237  0.693  0.718  0.70
Lushtak 2004   65  0.3461  0.0064  0.0847  0.0860  0.0569  0.06
Malcuzynski 1961   20  0.4578  0.0016  0.1219  0.5411  0.5416  0.54
Magaloff 1978   47  0.3841  0.0043  0.0642  0.1639  0.1447  0.15
Magin 1975   8  0.5130  0.008  0.216  0.721  0.763  0.74
Michalowski 1933   73  0.2942  0.0068  0.0569  0.0519  0.4252  0.14
Milkina 1970   14  0.4979  0.0014  0.1115  0.5813  0.6613  0.62
Mohovich 1999   46  0.3831  0.0021  0.1328  0.3526  0.4329  0.39
Moravec 1969   30  0.4253  0.0040  0.0841  0.1720  0.3740  0.25
Morozova 2008   43  0.3815  0.0037  0.0538  0.2134  0.2841  0.24
Neighaus 1950   54  0.3762  0.0049  0.0655  0.0635  0.2356  0.12
Niedzielski 1931   41  0.3913  0.0033  0.1132  0.295  0.5727  0.41
Ohlsson 1999   27  0.4363  0.0032  0.1131  0.2927  0.3039  0.29
Osinska 1989   36  0.4164  0.0048  0.0566  0.0541  0.1762  0.09
Pachmann 1927   83  0.2480  0.0081  0.0383  0.0362  0.0579  0.04
Paderewski 1930   60  0.3521  0.0041  0.0543  0.143  0.6837  0.31
Perlemuter 1992   72  0.3081  0.0067  0.0564  0.0541  0.1364  0.08
Pierdomenico 2008   55  0.3632  0.0047  0.0563  0.0513  0.5444  0.16
Poblocka 1999   51  0.3743  0.0054  0.0848  0.0842  0.1657  0.11
Rabcewiczowa 1932   75  0.2682  0.0075  0.0481  0.0466  0.0577  0.04
Rachmaninoff 1923   52  0.3765  0.0058  0.0658  0.0639  0.2058  0.11
Rangell 2001   79  0.2633  0.0076  0.0474  0.0455  0.0580  0.04
Richter 1976   29  0.4283  0.0038  0.0737  0.2229  0.3838  0.29
Rosen 1989   44  0.384  0.0050  0.0654  0.0658  0.0476  0.05
Rosenthal 1930   69  0.3284  0.0073  0.0476  0.0437  0.2860  0.11
Rosenthal 1931   82  0.2485  0.0080  0.0477  0.0450  0.0673  0.05
Rosenthal 1931b   84  0.2386  0.0085  0.0382  0.0373  0.0388  0.03
Rosenthal 1931c   70  0.3154  0.0072  0.0479  0.0452  0.0582  0.04
Rosenthal 1931d   85  0.2266  0.0083  0.0386  0.0366  0.0487  0.03
Rossi 2007   87  0.0667  0.0087  0.0288  0.0283  0.0289  0.02
Rubinstein 1939   32  0.4268  0.0035  0.0733  0.2816  0.4632  0.36
Rubinstein 1952   25  0.4422  0.0027  0.0821  0.5016  0.5417  0.52
Rubinstein 1966   16  0.4816  0.009  0.1418  0.5418  0.4918  0.51
Schilhawsky 1960   53  0.3787  0.0060  0.0565  0.0522  0.3654  0.13
Shebanova 2002   3  0.5417  0.003  0.404  0.747  0.687  0.71
Smith 1975   58  0.3588  0.0070  0.0472  0.0447  0.0772  0.05
Sokolov 2002   26  0.4389  0.0039  0.0839  0.1914  0.5036  0.31
Sztompka 1959   40  0.3969  0.0022  0.1127  0.3819  0.5126  0.44
Tomsic 1995   24  0.4444  0.0028  0.0725  0.407  0.5521  0.47
Uninsky 1932   42  0.3945  0.0036  0.0735  0.2420  0.4334  0.32
Uninsky 1971   23  0.4434  0.0025  0.0923  0.4415  0.5122  0.47
Wasowski 1980   13  0.4911  0.0011  0.1116  0.5612  0.5515  0.55
Zak 1937   31  0.426  0.0056  0.0653  0.0632  0.2159  0.11
Zak 1951   34  0.4218  0.0057  0.0946  0.0930  0.2151  0.14
Random 1   89  -0.0255  0.0089  0.0289  0.0252  0.0485  0.03
Random 2   88  0.0635  0.0088  0.0287  0.0225  0.2665  0.07
Random 3   90  -0.0790  0.0090  0.0190  0.0180  0.0290  0.01

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).