Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   38  0.4818  0.0026  0.0630  0.2042  0.2134  0.20
Anderszewski 2003   5  0.6110  0.007  0.2611  0.458  0.5510  0.50
Ashkenazy 1981   3  0.658  0.003  0.213  0.662  0.654  0.65
Bacha 2000   32  0.4911  0.0046  0.0564  0.0513  0.4940  0.16
Badura 1965   52  0.4328  0.0060  0.0846  0.0825  0.3639  0.17
Barbosa 1983   42  0.4613  0.0044  0.0741  0.1330  0.2837  0.19
Biret 1990   21  0.5119  0.0041  0.0532  0.2034  0.1938  0.19
Blet 2003   29  0.5040  0.0043  0.0739  0.1516  0.4228  0.25
Block 1995   82  0.3053  0.0072  0.0383  0.0374  0.0385  0.03
Blumental 1952   14  0.5241  0.0034  0.0442  0.1316  0.3331  0.21
Boshniakovich 1969   51  0.4367  0.0049  0.0748  0.0741  0.1658  0.11
Brailowsky 1960   68  0.3729  0.0081  0.0566  0.0559  0.0566  0.05
Bunin 1987   47  0.4468  0.0061  0.0653  0.0630  0.2748  0.13
Bunin 1987b   50  0.4342  0.0062  0.0845  0.0830  0.2943  0.15
Chiu 1999   18  0.5169  0.0042  0.0637  0.1619  0.4124  0.26
Cohen 1997   67  0.3854  0.0077  0.0476  0.0438  0.2260  0.09
Cortot 1951   72  0.3570  0.0068  0.0474  0.0449  0.0674  0.05
Csalog 1996   76  0.347  0.0064  0.0650  0.0632  0.2650  0.12
Czerny 1949   53  0.4314  0.0053  0.0656  0.0652  0.0664  0.06
Czerny 1990   15  0.5230  0.0027  0.0617  0.3542  0.1136  0.20
Duchoud 2007   25  0.5071  0.0018  0.0821  0.2817  0.4516  0.35
Ezaki 2006   23  0.515  0.0052  0.0655  0.0665  0.0465  0.05
Falvay 1989   65  0.3972  0.0073  0.0478  0.0453  0.0668  0.05
Farrell 1958   55  0.4320  0.0066  0.0654  0.0664  0.0570  0.05
Ferenczy 1958   57  0.4243  0.0063  0.0560  0.0532  0.2454  0.11
Fliere 1977   7  0.5744  0.009  0.136  0.6026  0.449  0.51
Fou 1978   37  0.4821  0.0025  0.0634  0.1946  0.0749  0.12
Francois 1956   79  0.3255  0.0075  0.0384  0.0381  0.0388  0.03
Friedman 1923   39  0.4873  0.0058  0.0651  0.0621  0.3445  0.14
Friedman 1923b   35  0.4874  0.0057  0.0749  0.0721  0.3641  0.16
Friedman 1930   30  0.4956  0.0035  0.0533  0.1915  0.4621  0.30
Garcia 2007   63  0.396  0.0065  0.0559  0.0528  0.2556  0.11
Garcia 2007b   54  0.433  0.0051  0.0563  0.057  0.5442  0.16
Gierzod 1998   10  0.5545  0.0011  0.198  0.5720  0.478  0.52
Gornostaeva 1994   75  0.3475  0.0079  0.0570  0.0572  0.0379  0.04
Groot 1988   59  0.4212  0.0028  0.0631  0.2045  0.0752  0.12
Harasiewicz 1955   28  0.5057  0.0016  0.1112  0.4235  0.2318  0.31
Hatto 1993   1  0.991  0.981  0.971  1.001  1.001  1.00
Hatto 1997   2  0.972  0.012  0.972  0.991  0.992  0.99
Horowitz 1949   58  0.4215  0.0038  0.0644  0.1133  0.3633  0.20
Indjic 1988   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kapell 1951   22  0.5146  0.0015  0.1414  0.4128  0.3214  0.36
Kissin 1993   41  0.4676  0.0017  0.1022  0.2530  0.2725  0.26
Kushner 1989   31  0.4916  0.0045  0.0562  0.0547  0.0863  0.06
Luisada 1991   4  0.6222  0.005  0.144  0.652  0.653  0.65
Lushtak 2004   13  0.534  0.0039  0.0525  0.2434  0.2129  0.22
Malcuzynski 1961   62  0.409  0.0019  0.0623  0.2437  0.1732  0.20
Magaloff 1978   61  0.4147  0.0024  0.0927  0.2257  0.0559  0.10
Magin 1975   8  0.5631  0.008  0.269  0.538  0.527  0.52
Michalowski 1933   66  0.3848  0.0055  0.0558  0.0527  0.3547  0.13
Milkina 1970   36  0.4877  0.0023  0.0729  0.2146  0.0846  0.13
Mohovich 1999   56  0.4278  0.0036  0.0535  0.1939  0.2135  0.20
Moravec 1969   71  0.3579  0.0074  0.0386  0.0355  0.0481  0.03
Morozova 2008   12  0.5332  0.0010  0.1324  0.2423  0.2826  0.26
Neighaus 1950   20  0.5158  0.0029  0.0616  0.3535  0.2123  0.27
Niedzielski 1931   60  0.4259  0.0033  0.0740  0.1315  0.4827  0.25
Ohlsson 1999   6  0.6133  0.006  0.165  0.637  0.535  0.58
Osinska 1989   45  0.4534  0.0054  0.0747  0.0754  0.0662  0.06
Pachmann 1927   80  0.3135  0.0082  0.0471  0.0466  0.0478  0.04
Paderewski 1930   69  0.3780  0.0067  0.0652  0.0632  0.2053  0.11
Perlemuter 1992   70  0.3760  0.0070  0.0475  0.0483  0.0382  0.03
Pierdomenico 2008   78  0.3361  0.0069  0.0479  0.0453  0.0669  0.05
Poblocka 1999   34  0.4849  0.0013  0.1315  0.3925  0.3513  0.37
Rabcewiczowa 1932   77  0.3362  0.0076  0.0480  0.0466  0.0476  0.04
Rachmaninoff 1923   44  0.4550  0.0059  0.0657  0.0668  0.0467  0.05
Rangell 2001   83  0.2923  0.0078  0.0472  0.0446  0.0673  0.05
Richter 1976   48  0.4481  0.0048  0.0568  0.0518  0.4244  0.14
Rosen 1989   46  0.4563  0.0037  0.0538  0.1545  0.0857  0.11
Rosenthal 1930   73  0.3582  0.0080  0.0477  0.0451  0.0672  0.05
Rosenthal 1931   85  0.2783  0.0085  0.0385  0.0383  0.0384  0.03
Rosenthal 1931b   84  0.2784  0.0086  0.0473  0.0484  0.0287  0.03
Rosenthal 1931c   81  0.3164  0.0083  0.0569  0.0583  0.0380  0.04
Rosenthal 1931d   86  0.2585  0.0084  0.0382  0.0377  0.0386  0.03
Rossi 2007   87  0.1586  0.0087  0.0481  0.0483  0.0383  0.03
Rubinstein 1939   16  0.5224  0.0032  0.0536  0.176  0.4922  0.29
Rubinstein 1952   74  0.3517  0.0040  0.0543  0.1253  0.0661  0.08
Rubinstein 1966   9  0.5651  0.0021  0.0820  0.3125  0.3915  0.35
Schilhawsky 1960   19  0.5165  0.0014  0.1113  0.4118  0.5012  0.45
Shebanova 2002   11  0.5487  0.004  0.227  0.5813  0.536  0.55
Smith 1975   43  0.4625  0.0056  0.0561  0.0580  0.0375  0.04
Sokolov 2002   26  0.5036  0.0030  0.0526  0.2337  0.1930  0.21
Sztompka 1959   40  0.4726  0.0050  0.0567  0.0555  0.0671  0.05
Tomsic 1995   64  0.3927  0.0071  0.0387  0.0347  0.0677  0.04
Uninsky 1932   49  0.4366  0.0047  0.0565  0.0532  0.2555  0.11
Uninsky 1971   33  0.4937  0.0012  0.1410  0.5014  0.4511  0.47
Wasowski 1980   24  0.5188  0.0031  0.0728  0.2112  0.4419  0.30
Zak 1937   17  0.5289  0.0022  0.0718  0.3328  0.3317  0.33
Zak 1951   27  0.5052  0.0020  0.0819  0.3332  0.2720  0.30
Random 1   90  -0.0638  0.0090  0.0190  0.0162  0.0389  0.02
Random 2   88  0.0339  0.0088  0.0388  0.035  0.4751  0.12
Random 3   89  -0.0290  0.0089  0.0189  0.0160  0.0390  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).