Indjic 1988

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   35  0.5244  0.0030  0.0626  0.2163  0.0449  0.09
Anderszewski 2003   4  0.7030  0.003  0.229  0.568  0.486  0.52
Ashkenazy 1981   3  0.7313  0.004  0.154  0.633  0.543  0.58
Bacha 2000   26  0.558  0.0038  0.0532  0.1535  0.1833  0.16
Badura 1965   45  0.485  0.0048  0.0552  0.0531  0.3038  0.12
Barbosa 1983   51  0.4766  0.0051  0.0463  0.0439  0.1455  0.07
Biret 1990   18  0.5825  0.0028  0.0822  0.2838  0.1625  0.21
Blet 2003   15  0.5852  0.0026  0.0620  0.3028  0.2518  0.27
Block 1995   84  0.2714  0.0079  0.0468  0.0463  0.0471  0.04
Blumental 1952   30  0.5316  0.0055  0.0383  0.0333  0.1557  0.07
Boshniakovich 1969   56  0.4667  0.0046  0.0554  0.0533  0.2145  0.10
Brailowsky 1960   57  0.4653  0.0068  0.0561  0.0573  0.0467  0.04
Bunin 1987   46  0.4868  0.0061  0.0646  0.0637  0.1942  0.11
Bunin 1987b   49  0.4869  0.0060  0.0650  0.0637  0.2140  0.11
Chiu 1999   27  0.5426  0.0049  0.0558  0.0530  0.2243  0.10
Cohen 1997   67  0.4270  0.0072  0.0466  0.0434  0.1358  0.07
Cortot 1951   54  0.4671  0.0062  0.0651  0.0664  0.0563  0.05
Csalog 1996   79  0.3054  0.0066  0.0649  0.0636  0.1644  0.10
Czerny 1949   48  0.4836  0.0047  0.0648  0.0667  0.0562  0.05
Czerny 1990   31  0.5337  0.0050  0.0464  0.0469  0.0473  0.04
Duchoud 2007   17  0.5872  0.0013  0.1119  0.3216  0.3812  0.35
Ezaki 2006   12  0.5927  0.0029  0.0627  0.2059  0.0446  0.09
Falvay 1989   77  0.3173  0.0083  0.0287  0.0273  0.0476  0.03
Farrell 1958   28  0.5445  0.0063  0.0647  0.0680  0.0369  0.04
Ferenczy 1958   40  0.5138  0.0040  0.0544  0.0930  0.2136  0.14
Fliere 1977   8  0.6311  0.009  0.116  0.6129  0.309  0.43
Fou 1978   37  0.5220  0.0025  0.0928  0.2048  0.0639  0.11
Francois 1956   75  0.3546  0.0071  0.0379  0.0383  0.0387  0.03
Friedman 1923   22  0.5674  0.0034  0.0535  0.1424  0.3027  0.20
Friedman 1923b   21  0.5775  0.0033  0.0533  0.1522  0.3124  0.22
Friedman 1930   23  0.5521  0.0027  0.0725  0.2219  0.4116  0.30
Garcia 2007   42  0.5055  0.0057  0.0465  0.0441  0.1156  0.07
Garcia 2007b   60  0.4528  0.0053  0.0473  0.0445  0.0764  0.05
Gierzod 1998   10  0.614  0.0012  0.138  0.5723  0.348  0.44
Gornostaeva 1994   74  0.3576  0.0075  0.0375  0.0363  0.0382  0.03
Groot 1988   69  0.3877  0.0074  0.0559  0.0583  0.0375  0.04
Harasiewicz 1955   43  0.4929  0.0020  0.0723  0.2540  0.1132  0.17
Hatto 1993   1  0.991  0.961  0.951  1.001  1.001  1.00
Hatto 1997   2  0.992  0.032  0.962  0.991  0.982  0.98
Horowitz 1949   44  0.4956  0.0023  0.0630  0.1931  0.3219  0.25
Indjic 1988   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kapell 1951   33  0.5347  0.0019  0.1016  0.3636  0.1621  0.24
Kissin 1993   53  0.469  0.0024  0.0724  0.2232  0.1729  0.19
Kushner 1989   38  0.5157  0.0059  0.0557  0.0552  0.0560  0.05
Luisada 1991   5  0.6939  0.006  0.185  0.619  0.494  0.55
Lushtak 2004   7  0.6417  0.0015  0.0917  0.3637  0.1423  0.22
Malcuzynski 1961   72  0.3631  0.0044  0.0834  0.1559  0.0451  0.08
Magaloff 1978   66  0.4248  0.0037  0.0438  0.1471  0.0454  0.07
Magin 1975   20  0.573  0.0011  0.1213  0.4324  0.2514  0.33
Michalowski 1933   65  0.4315  0.0031  0.0629  0.2037  0.2722  0.23
Milkina 1970   55  0.4678  0.0042  0.0539  0.1363  0.0550  0.08
Mohovich 1999   58  0.4612  0.0052  0.0467  0.0457  0.0572  0.04
Moravec 1969   76  0.3279  0.0077  0.0384  0.0348  0.0565  0.04
Morozova 2008   9  0.6258  0.0010  0.1321  0.2928  0.2220  0.25
Neighaus 1950   13  0.5849  0.0022  0.0611  0.4948  0.0730  0.19
Niedzielski 1931   62  0.4450  0.0032  0.0636  0.1423  0.2926  0.20
Ohlsson 1999   6  0.6832  0.005  0.163  0.639  0.455  0.53
Osinska 1989   59  0.457  0.0064  0.0845  0.0883  0.0359  0.05
Pachmann 1927   68  0.396  0.0073  0.0470  0.0428  0.2148  0.09
Paderewski 1930   61  0.4480  0.0065  0.0556  0.0539  0.1252  0.08
Perlemuter 1992   64  0.4359  0.0067  0.0562  0.0558  0.0466  0.04
Pierdomenico 2008   83  0.2818  0.0076  0.0380  0.0371  0.0378  0.03
Poblocka 1999   29  0.5410  0.007  0.1110  0.5024  0.2711  0.37
Rabcewiczowa 1932   71  0.3781  0.0069  0.0378  0.0381  0.0379  0.03
Rachmaninoff 1923   41  0.5182  0.0058  0.0553  0.0558  0.0468  0.04
Rangell 2001   86  0.2533  0.0080  0.0471  0.0457  0.0474  0.04
Richter 1976   63  0.4434  0.0041  0.0442  0.1223  0.3028  0.19
Rosen 1989   52  0.4719  0.0043  0.0637  0.1452  0.0553  0.08
Rosenthal 1930   70  0.3783  0.0070  0.0376  0.0362  0.0481  0.03
Rosenthal 1931   82  0.2884  0.0086  0.0469  0.0479  0.0380  0.03
Rosenthal 1931b   80  0.2951  0.0085  0.0382  0.0361  0.0484  0.03
Rosenthal 1931c   78  0.3060  0.0082  0.0381  0.0372  0.0385  0.03
Rosenthal 1931d   85  0.2785  0.0084  0.0385  0.0374  0.0483  0.03
Rossi 2007   87  0.1640  0.0087  0.0288  0.0282  0.0388  0.02
Rubinstein 1939   16  0.5861  0.0021  0.0743  0.0915  0.3631  0.18
Rubinstein 1952   81  0.2962  0.0078  0.0374  0.0382  0.0386  0.03
Rubinstein 1966   11  0.6022  0.0045  0.0555  0.0535  0.2341  0.11
Schilhawsky 1960   14  0.5841  0.008  0.117  0.5726  0.367  0.45
Shebanova 2002   24  0.5523  0.0018  0.1318  0.3325  0.3115  0.32
Smith 1975   47  0.4842  0.0054  0.0377  0.0369  0.0477  0.03
Sokolov 2002   34  0.5235  0.0035  0.0640  0.1345  0.0647  0.09
Sztompka 1959   36  0.5286  0.0056  0.0472  0.0456  0.0661  0.05
Tomsic 1995   73  0.3687  0.0081  0.0560  0.0581  0.0370  0.04
Uninsky 1932   50  0.4843  0.0039  0.0541  0.1238  0.1935  0.15
Uninsky 1971   39  0.5163  0.0017  0.0912  0.4420  0.3810  0.41
Wasowski 1980   32  0.5324  0.0036  0.0731  0.1838  0.1234  0.15
Zak 1937   19  0.5888  0.0016  0.0914  0.4226  0.2713  0.34
Zak 1951   25  0.5564  0.0014  0.1115  0.3831  0.1917  0.27
Random 1   90  -0.1365  0.0090  0.0190  0.0154  0.0489  0.02
Random 2   88  0.0289  0.0088  0.0386  0.035  0.5037  0.12
Random 3   89  0.0090  0.0089  0.0189  0.0146  0.0690  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).