Indjic 1988

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   74  0.2563  0.0043  0.0541  0.0973  0.0356  0.05
Anderszewski 2003   4  0.6755  0.003  0.275  0.545  0.554  0.54
Ashkenazy 1981   3  0.6927  0.004  0.263  0.663  0.563  0.61
Bacha 2000   20  0.473  0.0037  0.0438  0.1221  0.3224  0.20
Badura 1965   82  0.2129  0.0052  0.0546  0.0551  0.0557  0.05
Barbosa 1983   52  0.3340  0.0017  0.0724  0.2638  0.2320  0.24
Biret 1990   8  0.5416  0.008  0.118  0.4623  0.269  0.35
Blet 2003   15  0.4956  0.0021  0.0812  0.4030  0.1816  0.27
Block 1995   88  0.0430  0.0088  0.0288  0.0284  0.0284  0.02
Blumental 1952   26  0.4241  0.0034  0.0537  0.1329  0.1733  0.15
Boshniakovich 1969   76  0.2342  0.0085  0.0285  0.0283  0.0386  0.02
Brailowsky 1960   36  0.3857  0.0049  0.0449  0.0436  0.1445  0.07
Bunin 1987   13  0.509  0.0020  0.0718  0.3743  0.1127  0.20
Bunin 1987b   12  0.5110  0.0019  0.0717  0.3743  0.1125  0.20
Chiu 1999   41  0.3625  0.0030  0.0828  0.2329  0.2223  0.22
Cohen 1997   61  0.3058  0.0078  0.0364  0.0331  0.2341  0.08
Cortot 1951   56  0.3264  0.0055  0.0360  0.0362  0.0479  0.03
Csalog 1996   63  0.2959  0.0042  0.0539  0.1129  0.2730  0.17
Czerny 1949   81  0.2265  0.0068  0.0368  0.0377  0.0373  0.03
Czerny 1990   48  0.3321  0.0039  0.0433  0.1660  0.0442  0.08
Duchoud 2007   6  0.6322  0.005  0.246  0.5216  0.436  0.47
Ezaki 2006   24  0.4311  0.0024  0.0814  0.4038  0.1222  0.22
Falvay 1989   57  0.324  0.0038  0.0442  0.0943  0.0740  0.08
Farrell 1958   23  0.4366  0.0058  0.0361  0.0356  0.0467  0.03
Ferenczy 1958   31  0.3967  0.0027  0.0631  0.1636  0.1831  0.17
Fliere 1977   22  0.4543  0.0032  0.0625  0.2659  0.0434  0.10
Fou 1978   39  0.3768  0.0063  0.0369  0.0369  0.0468  0.03
Francois 1956   86  0.1944  0.0077  0.0372  0.0375  0.0380  0.03
Friedman 1923   71  0.2631  0.0071  0.0362  0.0354  0.0664  0.04
Friedman 1923b   69  0.2769  0.0070  0.0278  0.0252  0.0677  0.03
Friedman 1930   67  0.2723  0.0044  0.0444  0.0746  0.0651  0.06
Garcia 2007   53  0.3217  0.0053  0.0452  0.0469  0.0374  0.03
Garcia 2007b   68  0.2714  0.0045  0.0453  0.0429  0.1544  0.08
Gierzod 1998   17  0.4932  0.0014  0.0719  0.3636  0.1718  0.25
Gornostaeva 1994   78  0.2224  0.0084  0.0281  0.0274  0.0387  0.02
Groot 1988   73  0.2670  0.0074  0.0282  0.0280  0.0388  0.02
Harasiewicz 1955   77  0.2312  0.0035  0.0534  0.1547  0.0539  0.09
Hatto 1993   1  0.991  0.961  0.951  0.991  0.991  0.99
Hatto 1997   2  0.982  0.032  0.882  0.941  0.912  0.92
Horowitz 1949   42  0.3671  0.0050  0.0548  0.0544  0.0850  0.06
Indjic 1988   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kapell 1951   19  0.486  0.0018  0.079  0.4435  0.2312  0.32
Kissin 1993   72  0.2672  0.0064  0.0370  0.0347  0.0660  0.04
Kushner 1989   40  0.3760  0.0040  0.0540  0.1075  0.0353  0.05
Luisada 1991   7  0.5945  0.007  0.187  0.499  0.437  0.46
Lushtak 2004   11  0.5373  0.0012  0.1213  0.4029  0.2014  0.28
Malcuzynski 1961   37  0.3774  0.0059  0.0363  0.0384  0.0369  0.03
Magaloff 1978   44  0.3475  0.0036  0.0443  0.0981  0.0352  0.05
Magin 1975   9  0.5376  0.009  0.1220  0.3610  0.348  0.35
Michalowski 1933   59  0.3177  0.0022  0.0816  0.3736  0.2713  0.32
Milkina 1970   33  0.3846  0.0065  0.0367  0.0355  0.0558  0.04
Mohovich 1999   50  0.3333  0.0060  0.0357  0.0374  0.0376  0.03
Moravec 1969   60  0.3134  0.0041  0.0436  0.1430  0.2028  0.17
Morozova 2008   21  0.455  0.0011  0.1322  0.3437  0.1226  0.20
Neighaus 1950   25  0.4218  0.0047  0.0547  0.0581  0.0362  0.04
Niedzielski 1931   80  0.2247  0.0056  0.0358  0.0331  0.1746  0.07
Ohlsson 1999   5  0.657  0.006  0.334  0.569  0.505  0.53
Osinska 1989   84  0.2078  0.0076  0.0283  0.0267  0.0465  0.03
Pachmann 1927   70  0.2615  0.0072  0.0286  0.0239  0.1454  0.05
Paderewski 1930   64  0.2835  0.0082  0.0277  0.0269  0.0383  0.02
Perlemuter 1992   85  0.198  0.0083  0.0275  0.0267  0.0381  0.02
Pierdomenico 2008   75  0.2479  0.0067  0.0366  0.0383  0.0282  0.02
Poblocka 1999   18  0.4980  0.0013  0.1010  0.4229  0.2410  0.32
Rabcewiczowa 1932   79  0.2281  0.0069  0.0371  0.0359  0.0466  0.03
Rachmaninoff 1923   43  0.3413  0.0033  0.0635  0.1479  0.0349  0.06
Rangell 2001   51  0.3382  0.0066  0.0356  0.0328  0.2143  0.08
Richter 1976   62  0.3048  0.0057  0.0450  0.0468  0.0371  0.03
Rosen 1989   55  0.3249  0.0075  0.0284  0.0278  0.0385  0.02
Rosenthal 1930   34  0.3836  0.0051  0.0451  0.0474  0.0375  0.03
Rosenthal 1931   54  0.3250  0.0080  0.0355  0.0366  0.0372  0.03
Rosenthal 1931b   45  0.3383  0.0079  0.0374  0.0356  0.0563  0.04
Rosenthal 1931c   46  0.3384  0.0081  0.0276  0.0274  0.0389  0.02
Rosenthal 1931d   66  0.2861  0.0073  0.0280  0.0258  0.0478  0.03
Rossi 2007   90  -0.1985  0.0089  0.0189  0.0184  0.0290  0.01
Rubinstein 1939   16  0.4951  0.0026  0.0630  0.1712  0.4415  0.27
Rubinstein 1952   83  0.2186  0.0062  0.0373  0.0335  0.1548  0.07
Rubinstein 1966   14  0.4962  0.0048  0.0545  0.0537  0.1738  0.09
Schilhawsky 1960   27  0.4128  0.0016  0.0721  0.3536  0.2017  0.26
Shebanova 2002   28  0.4126  0.0029  0.0632  0.1625  0.3221  0.23
Smith 1975   32  0.3837  0.0023  0.0815  0.3983  0.0237  0.09
Sokolov 2002   10  0.5338  0.0010  0.1311  0.4135  0.2511  0.32
Sztompka 1959   49  0.3387  0.0061  0.0365  0.0358  0.0559  0.04
Tomsic 1995   30  0.3939  0.0054  0.0359  0.0370  0.0370  0.03
Uninsky 1932   58  0.3119  0.0046  0.0454  0.0447  0.0655  0.05
Uninsky 1971   29  0.4052  0.0028  0.0723  0.3240  0.1819  0.24
Wasowski 1980   38  0.3753  0.0025  0.0826  0.2638  0.1129  0.17
Zak 1937   35  0.3820  0.0031  0.0629  0.2143  0.1132  0.15
Zak 1951   47  0.3354  0.0015  0.1027  0.2562  0.0435  0.10
Random 1   89  0.0088  0.0090  0.0190  0.0138  0.1661  0.04
Random 2   87  0.0589  0.0086  0.0287  0.023  0.4836  0.10
Random 3   65  0.2890  0.0087  0.0279  0.0221  0.2747  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).