Indjic 1988

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   50  0.3822  0.0052  0.0561  0.0523  0.4449  0.15
Anderszewski 2003   49  0.389  0.0045  0.0745  0.1330  0.4044  0.23
Ashkenazy 1981   8  0.513  0.0014  0.1212  0.627  0.6912  0.65
Bacha 2000   36  0.4145  0.0046  0.0946  0.0911  0.5843  0.23
Badura 1965   68  0.3319  0.0067  0.0568  0.0545  0.0967  0.07
Barbosa 1983   13  0.5031  0.0013  0.1110  0.666  0.6811  0.67
Biret 1990   39  0.4032  0.0056  0.0562  0.0526  0.4450  0.15
Blet 2003   29  0.4255  0.0020  0.1225  0.4110  0.5324  0.47
Block 1995   67  0.3471  0.0053  0.0653  0.0657  0.0576  0.05
Blumental 1952   10  0.5146  0.0011  0.119  0.683  0.777  0.72
Boshniakovich 1969   57  0.3656  0.0043  0.0641  0.1854  0.0662  0.10
Brailowsky 1960   82  0.2472  0.0087  0.0474  0.0484  0.0385  0.03
Bunin 1987   46  0.3857  0.0025  0.0935  0.289  0.5531  0.39
Bunin 1987b   51  0.3773  0.0027  0.0837  0.2312  0.5334  0.35
Chiu 1999   22  0.4558  0.0032  0.0927  0.3914  0.5125  0.45
Cohen 1997   78  0.2674  0.0079  0.0660  0.0648  0.0771  0.06
Cortot 1951   87  0.2220  0.0085  0.0386  0.0355  0.0682  0.04
Csalog 1996   62  0.3559  0.0066  0.0751  0.0753  0.0669  0.06
Czerny 1949   72  0.3060  0.0072  0.0479  0.0442  0.2164  0.09
Czerny 1990   6  0.5214  0.007  0.186  0.7312  0.755  0.74
Duchoud 2007   58  0.3661  0.0060  0.0571  0.0522  0.3556  0.13
Ezaki 2006   64  0.3410  0.0070  0.0658  0.0664  0.0572  0.05
Falvay 1989   19  0.4833  0.0030  0.0923  0.4616  0.4426  0.45
Farrell 1958   79  0.2675  0.0075  0.0476  0.0463  0.0579  0.04
Ferenczy 1958   81  0.2547  0.0083  0.0385  0.0346  0.0875  0.05
Fliere 1977   20  0.4734  0.0024  0.1221  0.5237  0.2532  0.36
Fou 1978   40  0.4035  0.0054  0.0750  0.0752  0.0568  0.06
Francois 1956   77  0.2676  0.0078  0.0472  0.0458  0.0484  0.04
Friedman 1923   63  0.3536  0.0063  0.0657  0.0630  0.3651  0.15
Friedman 1923b   65  0.3477  0.0064  0.0752  0.0732  0.3747  0.16
Friedman 1930   34  0.4237  0.0031  0.0930  0.3118  0.5529  0.41
Garcia 2007   69  0.338  0.0047  0.0569  0.0519  0.4153  0.14
Garcia 2007b   23  0.446  0.008  0.1813  0.623  0.7510  0.68
Gierzod 1998   38  0.4023  0.0035  0.0631  0.3027  0.3436  0.32
Gornostaeva 1994   75  0.2878  0.0080  0.0481  0.0483  0.0387  0.03
Groot 1988   7  0.5238  0.006  0.164  0.754  0.736  0.74
Harasiewicz 1955   11  0.5039  0.0018  0.1115  0.5823  0.4320  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   60  0.3548  0.0062  0.0563  0.0520  0.5246  0.16
Indjic 1988   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kapell 1951   12  0.5040  0.0019  0.1711  0.6310  0.5215  0.57
Kissin 1993   16  0.4849  0.0016  0.1214  0.6115  0.6513  0.63
Kushner 1989   18  0.4850  0.0021  0.1218  0.5424  0.4121  0.47
Luisada 1991   5  0.5312  0.005  0.238  0.694  0.719  0.70
Lushtak 2004   66  0.3462  0.0065  0.0848  0.0861  0.0570  0.06
Malcuzynski 1961   21  0.4579  0.0017  0.1220  0.5412  0.5417  0.54
Magaloff 1978   48  0.3841  0.0044  0.0643  0.1640  0.1448  0.15
Magin 1975   9  0.5124  0.009  0.217  0.722  0.764  0.74
Michalowski 1933   74  0.2942  0.0069  0.0570  0.0520  0.4252  0.14
Milkina 1970   15  0.4980  0.0015  0.1116  0.5814  0.6614  0.62
Mohovich 1999   47  0.3825  0.0022  0.1329  0.3527  0.4330  0.39
Moravec 1969   31  0.4251  0.0041  0.0842  0.1721  0.3741  0.25
Morozova 2008   44  0.3815  0.0038  0.0539  0.2135  0.2842  0.24
Neighaus 1950   55  0.3763  0.0050  0.0656  0.0636  0.2357  0.12
Niedzielski 1931   42  0.3913  0.0034  0.1133  0.296  0.5728  0.41
Ohlsson 1999   28  0.4364  0.0033  0.1132  0.2928  0.3040  0.29
Osinska 1989   37  0.4165  0.0049  0.0567  0.0542  0.1763  0.09
Pachmann 1927   84  0.2481  0.0082  0.0384  0.0363  0.0580  0.04
Paderewski 1930   61  0.3521  0.0042  0.0544  0.144  0.6838  0.31
Perlemuter 1992   73  0.3082  0.0068  0.0565  0.0542  0.1365  0.08
Pierdomenico 2008   56  0.3626  0.0048  0.0564  0.0514  0.5445  0.16
Poblocka 1999   52  0.3752  0.0055  0.0749  0.0743  0.1658  0.11
Rabcewiczowa 1932   76  0.2683  0.0076  0.0482  0.0467  0.0478  0.04
Rachmaninoff 1923   53  0.3766  0.0059  0.0659  0.0640  0.2059  0.11
Rangell 2001   80  0.2627  0.0077  0.0475  0.0456  0.0581  0.04
Richter 1976   30  0.4284  0.0039  0.0738  0.2230  0.3839  0.29
Rosen 1989   45  0.385  0.0051  0.0655  0.0659  0.0477  0.05
Rosenthal 1930   70  0.3285  0.0074  0.0477  0.0438  0.2861  0.11
Rosenthal 1931   83  0.2486  0.0081  0.0478  0.0451  0.0674  0.05
Rosenthal 1931b   85  0.2387  0.0086  0.0383  0.0374  0.0389  0.03
Rosenthal 1931c   71  0.3153  0.0073  0.0480  0.0453  0.0583  0.04
Rosenthal 1931d   86  0.2267  0.0084  0.0287  0.0267  0.0488  0.03
Rossi 2007   88  0.0668  0.0088  0.0289  0.0284  0.0290  0.02
Rubinstein 1939   33  0.4269  0.0036  0.0734  0.2817  0.4633  0.36
Rubinstein 1952   26  0.4428  0.0028  0.0822  0.5017  0.5418  0.52
Rubinstein 1966   17  0.4816  0.0010  0.1419  0.5419  0.4919  0.51
Schilhawsky 1960   54  0.3788  0.0061  0.0566  0.0523  0.3655  0.13
Shebanova 2002   4  0.5417  0.004  0.405  0.748  0.688  0.71
Smith 1975   59  0.3589  0.0071  0.0473  0.0448  0.0773  0.05
Sokolov 2002   27  0.4390  0.0040  0.0840  0.1915  0.5037  0.31
Sztompka 1959   41  0.3970  0.0023  0.1028  0.3820  0.5127  0.44
Tomsic 1995   25  0.4443  0.0029  0.0726  0.408  0.5522  0.47
Uninsky 1932   43  0.3944  0.0037  0.0736  0.2421  0.4335  0.32
Uninsky 1971   24  0.4429  0.0026  0.0924  0.4416  0.5123  0.47
Wasowski 1980   14  0.4911  0.0012  0.1117  0.5613  0.5516  0.55
Zak 1937   32  0.427  0.0057  0.0654  0.0633  0.2160  0.11
Zak 1951   35  0.4218  0.0058  0.0847  0.0831  0.2154  0.13
Average   3  0.674  0.003  0.703  0.917  0.623  0.75
Random 1   90  -0.0254  0.0090  0.0290  0.0252  0.0486  0.03
Random 2   89  0.0630  0.0089  0.0288  0.0224  0.3066  0.08
Random 3   91  -0.0791  0.0091  0.0191  0.0158  0.0391  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).