Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.6437  0.003  0.154  0.584  0.596  0.58
Anderszewski 2003   24  0.617  0.0126  0.0710  0.532  0.635  0.58
Ashkenazy 1981   19  0.6232  0.0023  0.0813  0.5213  0.5316  0.52
Bacha 2000   46  0.5326  0.0045  0.0545  0.106  0.5845  0.24
Badura 1965   51  0.5228  0.0043  0.1142  0.247  0.5742  0.37
Barbosa 1983   73  0.4656  0.0071  0.0375  0.0371  0.0489  0.03
Biret 1990   52  0.5284  0.0049  0.0553  0.0551  0.0684  0.05
Blet 2003   66  0.4782  0.0079  0.0288  0.0254  0.0590  0.03
Block 1995   74  0.4662  0.0055  0.0559  0.0533  0.2061  0.10
Blumental 1952   44  0.5411  0.0120  0.0638  0.344  0.4936  0.41
Boshniakovich 1969   11  0.642  0.048  0.1217  0.498  0.669  0.57
Brailowsky 1960   53  0.5159  0.0066  0.0469  0.0424  0.3956  0.12
Bunin 1987   72  0.4668  0.0084  0.0465  0.0458  0.0588  0.04
Bunin 1987b   75  0.4675  0.0083  0.0373  0.0354  0.0587  0.04
Chiu 1999   80  0.4390  0.0072  0.0381  0.0346  0.0782  0.05
Cohen 1997   86  0.3870  0.0085  0.0382  0.0327  0.2770  0.09
Cortot 1951   64  0.4861  0.0064  0.0470  0.0429  0.2762  0.10
Csalog 1996   76  0.4572  0.0082  0.0383  0.0330  0.2966  0.09
Czerny 1949   8  0.646  0.016  0.183  0.595  0.682  0.63
Czerny 1990   23  0.6178  0.0022  0.0523  0.4415  0.4731  0.45
Duchoud 2007   65  0.4779  0.0073  0.0374  0.0339  0.1779  0.07
Ezaki 2006   6  0.6439  0.0030  0.0724  0.4412  0.5024  0.47
Falvay 1989   41  0.5422  0.0050  0.0555  0.0536  0.2159  0.10
Farrell 1958   59  0.4971  0.0065  0.0468  0.0442  0.1376  0.07
Ferenczy 1958   61  0.4942  0.0076  0.0378  0.0329  0.2767  0.09
Fliere 1977   3  0.6615  0.007  0.186  0.5714  0.578  0.57
Fou 1978   36  0.5619  0.0017  0.0736  0.3423  0.4140  0.37
Francois 1956   39  0.5569  0.0047  0.0747  0.0725  0.4348  0.17
Friedman 1923   85  0.3860  0.0075  0.0286  0.0229  0.2881  0.07
Friedman 1923b   84  0.3980  0.0074  0.0285  0.0225  0.3174  0.08
Friedman 1930   62  0.4973  0.0044  0.0844  0.1513  0.5044  0.27
Garcia 2007   83  0.4043  0.0081  0.0376  0.0317  0.3660  0.10
Garcia 2007b   87  0.3776  0.0080  0.0287  0.0226  0.2680  0.07
Gierzod 1998   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Gornostaeva 1994   16  0.6344  0.0037  0.0832  0.387  0.6123  0.48
Groot 1988   57  0.5031  0.0053  0.0650  0.0654  0.0585  0.05
Harasiewicz 1955   32  0.5830  0.009  0.0812  0.5217  0.4622  0.49
Hatto 1993   40  0.5441  0.0025  0.0720  0.479  0.5419  0.50
Hatto 1997   35  0.5633  0.0018  0.0618  0.486  0.5318  0.50
Horowitz 1949   67  0.4781  0.0070  0.0284  0.0236  0.3573  0.08
Indjic 1988   37  0.5527  0.0024  0.0521  0.479  0.5715  0.52
Kapell 1951   29  0.5953  0.0035  0.0930  0.3919  0.3938  0.39
Kissin 1993   13  0.643  0.032  0.187  0.5515  0.5412  0.54
Kushner 1989   2  0.679  0.0112  0.079  0.548  0.5810  0.56
Luisada 1991   34  0.5721  0.0027  0.0834  0.3620  0.4835  0.42
Lushtak 2004   31  0.5810  0.0133  0.0935  0.3612  0.5233  0.43
Malcuzynski 1961   15  0.6412  0.0131  0.0815  0.507  0.6011  0.55
Magaloff 1978   18  0.6236  0.0038  0.0931  0.387  0.5328  0.45
Magin 1975   33  0.5835  0.0016  0.0625  0.4312  0.5027  0.46
Michalowski 1933   79  0.4385  0.0060  0.0748  0.0716  0.4046  0.17
Milkina 1970   30  0.5949  0.0041  0.1437  0.3422  0.4141  0.37
Mohovich 1999   22  0.6116  0.0040  0.1433  0.3821  0.4934  0.43
Moravec 1969   45  0.5350  0.0057  0.0554  0.0519  0.3950  0.14
Morozova 2008   42  0.5447  0.0042  0.0943  0.2419  0.3343  0.28
Neighaus 1950   10  0.6446  0.0013  0.0811  0.525  0.5713  0.54
Niedzielski 1931   48  0.5313  0.0019  0.0539  0.335  0.6129  0.45
Ohlsson 1999   4  0.6683  0.004  0.125  0.585  0.594  0.58
Osinska 1989   14  0.6434  0.0028  0.0722  0.4410  0.5420  0.49
Pachmann 1927   81  0.4258  0.0087  0.0372  0.0339  0.1878  0.07
Paderewski 1930   55  0.5087  0.0061  0.0461  0.0412  0.3657  0.12
Perlemuter 1992   58  0.5063  0.0056  0.0460  0.0435  0.2165  0.09
Pierdomenico 2008   71  0.4725  0.0077  0.0371  0.0333  0.2372  0.08
Poblocka 1999   12  0.6418  0.0011  0.0814  0.514  0.5614  0.53
Rabcewiczowa 1932   50  0.5257  0.0046  0.0552  0.0522  0.3653  0.13
Rachmaninoff 1923   78  0.4486  0.0058  0.0551  0.0549  0.0683  0.05
Rangell 2001   56  0.5040  0.0063  0.0466  0.0436  0.2071  0.09
Richter 1976   70  0.4755  0.0078  0.0380  0.0341  0.1777  0.07
Rosen 1989   7  0.6423  0.0014  0.118  0.546  0.637  0.58
Rosenthal 1930   47  0.5365  0.0062  0.0464  0.0417  0.5052  0.14
Rosenthal 1931   68  0.4738  0.0067  0.0467  0.0416  0.5649  0.15
Rosenthal 1931b   69  0.4745  0.0068  0.0377  0.0313  0.5655  0.13
Rosenthal 1931c   43  0.5417  0.0048  0.0557  0.0515  0.5747  0.17
Rosenthal 1931d   77  0.4574  0.0069  0.0463  0.0423  0.3758  0.12
Rossi 2007   88  0.3248  0.0088  0.0462  0.0452  0.0586  0.04
Rubinstein 1939   82  0.4266  0.0086  0.0379  0.0338  0.1675  0.07
Rubinstein 1952   60  0.4954  0.0051  0.0649  0.0641  0.1763  0.10
Rubinstein 1966   38  0.5529  0.0054  0.0746  0.0735  0.2751  0.14
Schilhawsky 1960   20  0.6220  0.0034  0.1027  0.425  0.5821  0.49
Shebanova 2002   5  0.6514  0.005  0.122  0.608  0.593  0.59
Smith 1975   17  0.6267  0.0032  0.0729  0.415  0.5425  0.47
Sokolov 2002   27  0.608  0.0139  0.1140  0.328  0.4737  0.39
Sztompka 1959   21  0.6124  0.0015  0.0719  0.4813  0.4726  0.47
Tomsic 1995   49  0.5264  0.0052  0.0556  0.0517  0.3654  0.13
Uninsky 1932   54  0.515  0.0221  0.0641  0.3116  0.4739  0.38
Uninsky 1971   26  0.604  0.0210  0.0816  0.509  0.5217  0.51
Wasowski 1980   63  0.4877  0.0059  0.0558  0.0541  0.1564  0.09
Zak 1937   25  0.6052  0.0036  0.0828  0.4116  0.5030  0.45
Zak 1951   28  0.6051  0.0029  0.0826  0.4217  0.4632  0.44
Average   1  0.781  0.761  0.751  0.875  0.571  0.70
Random 1   91  -0.0691  0.0091  0.0191  0.0183  0.0291  0.01
Random 2   90  0.0088  0.0089  0.0290  0.0214  0.4068  0.09
Random 3   89  0.0089  0.0090  0.0289  0.0215  0.3769  0.09

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).