Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.5315  0.0122  0.1110  0.4848  0.0625  0.17
Anderszewski 2003   30  0.4718  0.0019  0.0923  0.3833  0.1915  0.27
Ashkenazy 1981   4  0.605  0.023  0.343  0.7018  0.443  0.55
Bacha 2000   52  0.4440  0.0065  0.0471  0.0448  0.0654  0.05
Badura 1965   54  0.4350  0.0027  0.0926  0.3621  0.398  0.37
Barbosa 1983   58  0.4269  0.0046  0.0650  0.0653  0.0651  0.06
Biret 1990   9  0.5445  0.0020  0.1012  0.4747  0.0922  0.21
Blet 2003   44  0.4557  0.0036  0.0531  0.2751  0.0534  0.12
Block 1995   76  0.3590  0.0072  0.0384  0.0382  0.0385  0.03
Blumental 1952   81  0.3451  0.0079  0.0477  0.0481  0.0386  0.03
Boshniakovich 1969   55  0.4363  0.0067  0.0469  0.0473  0.0472  0.04
Brailowsky 1960   83  0.3291  0.0086  0.0386  0.0372  0.0479  0.03
Bunin 1987   37  0.4758  0.0034  0.0529  0.3132  0.2614  0.28
Bunin 1987b   38  0.4634  0.0031  0.0728  0.3230  0.3113  0.31
Chiu 1999   24  0.498  0.018  0.155  0.6211  0.532  0.57
Cohen 1997   84  0.3223  0.0081  0.0463  0.0458  0.0474  0.04
Cortot 1951   61  0.4182  0.0069  0.0846  0.0854  0.0553  0.06
Csalog 1996   63  0.4133  0.0045  0.0645  0.1149  0.0641  0.08
Czerny 1949   45  0.4464  0.0054  0.0553  0.0577  0.0369  0.04
Czerny 1990   25  0.4943  0.0042  0.0743  0.1474  0.0447  0.07
Duchoud 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ezaki 2006   34  0.4777  0.0041  0.0640  0.1749  0.0639  0.10
Falvay 1989   67  0.4073  0.0073  0.0479  0.0476  0.0462  0.04
Farrell 1958   22  0.4910  0.0128  0.0736  0.2050  0.0636  0.11
Ferenczy 1958   82  0.3371  0.0071  0.0381  0.0381  0.0291  0.02
Fliere 1977   6  0.5559  0.006  0.176  0.5746  0.0820  0.21
Fou 1978   49  0.4441  0.0060  0.0380  0.0372  0.0483  0.03
Francois 1956   56  0.4335  0.0059  0.0474  0.0462  0.0476  0.04
Friedman 1923   77  0.3567  0.0066  0.0467  0.0443  0.1349  0.07
Friedman 1923b   75  0.3527  0.0064  0.0472  0.0444  0.0952  0.06
Friedman 1930   68  0.3914  0.0149  0.0552  0.0557  0.0559  0.05
Garcia 2007   65  0.4042  0.0057  0.0460  0.0437  0.1842  0.08
Garcia 2007b   74  0.3660  0.0063  0.0475  0.0467  0.0477  0.04
Gierzod 1998   33  0.4780  0.0039  0.0639  0.1774  0.0346  0.07
Gornostaeva 1994   28  0.4825  0.0033  0.0533  0.2350  0.0538  0.11
Groot 1988   36  0.4722  0.0030  0.0738  0.1882  0.0348  0.07
Harasiewicz 1955   60  0.4187  0.0037  0.0634  0.2174  0.0343  0.08
Hatto 1993   20  0.5061  0.0013  0.0917  0.4520  0.2711  0.35
Hatto 1997   13  0.5238  0.0011  0.1315  0.4522  0.327  0.38
Horowitz 1949   70  0.3872  0.0074  0.0458  0.0463  0.0466  0.04
Indjic 1988   17  0.5070  0.0014  0.1618  0.4522  0.2810  0.35
Kapell 1951   5  0.5537  0.0010  0.1214  0.4635  0.2412  0.33
Kissin 1993   50  0.4474  0.0055  0.0649  0.0668  0.0558  0.05
Kushner 1989   7  0.5513  0.0121  0.0916  0.4561  0.0527  0.15
Luisada 1991   39  0.4656  0.0056  0.0747  0.0777  0.0455  0.05
Lushtak 2004   23  0.497  0.019  0.109  0.4942  0.1416  0.26
Malcuzynski 1961   43  0.4524  0.0052  0.0556  0.0573  0.0365  0.04
Magaloff 1978   57  0.4384  0.0062  0.0468  0.0480  0.0381  0.03
Magin 1975   12  0.5239  0.0012  0.1111  0.4833  0.259  0.35
Michalowski 1933   62  0.419  0.0117  0.0921  0.4019  0.396  0.39
Milkina 1970   26  0.4848  0.0048  0.0648  0.0659  0.0650  0.06
Mohovich 1999   51  0.4436  0.0053  0.0557  0.0571  0.0373  0.04
Moravec 1969   66  0.4028  0.0076  0.0461  0.0466  0.0460  0.04
Morozova 2008   18  0.5031  0.0015  0.1113  0.4739  0.1317  0.25
Neighaus 1950   15  0.5117  0.0024  0.0724  0.3753  0.0530  0.14
Niedzielski 1931   71  0.3726  0.0077  0.0478  0.0483  0.0382  0.03
Ohlsson 1999   1  0.681  0.551  0.552  0.784  0.631  0.70
Osinska 1989   42  0.4544  0.0051  0.0459  0.0477  0.0461  0.04
Pachmann 1927   80  0.3468  0.0082  0.0466  0.0452  0.0657  0.05
Paderewski 1930   79  0.3476  0.0083  0.0464  0.0472  0.0467  0.04
Perlemuter 1992   64  0.4052  0.0058  0.0470  0.0485  0.0378  0.03
Pierdomenico 2008   46  0.4416  0.0150  0.0554  0.0526  0.2833  0.12
Poblocka 1999   16  0.5178  0.0018  0.1020  0.4349  0.0626  0.16
Rabcewiczowa 1932   59  0.4247  0.0068  0.0555  0.0579  0.0364  0.04
Rachmaninoff 1923   31  0.4719  0.0023  0.0825  0.3744  0.1023  0.19
Rangell 2001   19  0.506  0.0132  0.0637  0.1829  0.2918  0.23
Richter 1976   48  0.4485  0.0044  0.0542  0.1542  0.1628  0.15
Rosen 1989   11  0.524  0.027  0.118  0.5354  0.0624  0.18
Rosenthal 1930   73  0.3688  0.0070  0.0383  0.0363  0.0571  0.04
Rosenthal 1931   86  0.2786  0.0087  0.0388  0.0376  0.0384  0.03
Rosenthal 1931b   87  0.2783  0.0084  0.0385  0.0378  0.0389  0.03
Rosenthal 1931c   78  0.3529  0.0078  0.0382  0.0376  0.0390  0.03
Rosenthal 1931d   85  0.2765  0.0088  0.0473  0.0475  0.0388  0.03
Rossi 2007   88  0.2481  0.0085  0.0387  0.0376  0.0380  0.03
Rubinstein 1939   69  0.3846  0.0080  0.0462  0.0463  0.0563  0.04
Rubinstein 1952   72  0.3749  0.0075  0.0476  0.0470  0.0475  0.04
Rubinstein 1966   40  0.4632  0.0061  0.0465  0.0466  0.0468  0.04
Schilhawsky 1960   53  0.4454  0.0035  0.0532  0.2646  0.0731  0.13
Shebanova 2002   8  0.543  0.025  0.124  0.6332  0.295  0.43
Smith 1975   29  0.4862  0.0026  0.0830  0.2958  0.0435  0.11
Sokolov 2002   3  0.6011  0.014  0.277  0.5617  0.434  0.49
Sztompka 1959   14  0.5166  0.0025  0.0922  0.4063  0.0529  0.14
Tomsic 1995   47  0.4412  0.0147  0.0551  0.0559  0.0556  0.05
Uninsky 1932   41  0.4621  0.0029  0.0727  0.3568  0.0532  0.13
Uninsky 1971   21  0.4930  0.0016  0.1219  0.4345  0.1021  0.21
Wasowski 1980   35  0.4720  0.0040  0.0541  0.1585  0.0344  0.07
Zak 1937   27  0.4853  0.0043  0.0644  0.1372  0.0445  0.07
Zak 1951   32  0.4789  0.0038  0.0735  0.2054  0.0637  0.11
Average   2  0.662  0.212  0.591  0.8257  0.0619  0.22
Random 1   91  -0.0655  0.0091  0.0191  0.0141  0.1187  0.03
Random 2   90  -0.0475  0.0090  0.0190  0.0137  0.1870  0.04
Random 3   89  0.0679  0.0089  0.0289  0.023  0.5540  0.10

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).