Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   23  0.5715  0.0127  0.0832  0.2945  0.0744  0.14
Anderszewski 2003   56  0.4733  0.0052  0.0845  0.0849  0.0556  0.06
Ashkenazy 1981   44  0.4926  0.0051  0.0655  0.0649  0.0563  0.05
Bacha 2000   36  0.5219  0.0147  0.0566  0.0530  0.3445  0.13
Badura 1965   72  0.4025  0.0073  0.0470  0.0469  0.0472  0.04
Barbosa 1983   39  0.5141  0.0025  0.0930  0.3221  0.3727  0.34
Biret 1990   27  0.5520  0.0124  0.1023  0.4029  0.2528  0.32
Blet 2003   57  0.4690  0.0069  0.0474  0.0473  0.0470  0.04
Block 1995   38  0.5148  0.0043  0.0642  0.1428  0.2634  0.19
Blumental 1952   55  0.4714  0.0235  0.0836  0.1843  0.0846  0.12
Boshniakovich 1969   58  0.4686  0.0064  0.0568  0.0573  0.0473  0.04
Brailowsky 1960   15  0.6013  0.0222  0.1119  0.463  0.707  0.57
Bunin 1987   69  0.4156  0.0076  0.0381  0.0363  0.0486  0.03
Bunin 1987b   73  0.4071  0.0077  0.0472  0.0462  0.0467  0.04
Chiu 1999   25  0.5560  0.0031  0.1224  0.4018  0.4322  0.41
Cohen 1997   51  0.4737  0.0039  0.0640  0.153  0.5429  0.28
Cortot 1951   81  0.3561  0.0082  0.0478  0.0475  0.0474  0.04
Csalog 1996   21  0.597  0.0311  0.1116  0.522  0.685  0.59
Czerny 1949   52  0.4739  0.0062  0.0649  0.0666  0.0462  0.05
Czerny 1990   9  0.6212  0.0213  0.1412  0.5529  0.2824  0.39
Duchoud 2007   74  0.4067  0.0068  0.0475  0.0478  0.0471  0.04
Ezaki 2006   10  0.6210  0.0218  0.098  0.5829  0.3418  0.44
Falvay 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Farrell 1958   32  0.5430  0.0029  0.0927  0.3512  0.4523  0.40
Ferenczy 1958   40  0.5131  0.0046  0.0562  0.0520  0.3743  0.14
Fliere 1977   29  0.5575  0.0037  0.0638  0.1659  0.0449  0.08
Fou 1978   2  0.674  0.084  0.222  0.728  0.543  0.62
Francois 1956   26  0.5518  0.0123  0.0921  0.4310  0.5614  0.49
Friedman 1923   86  0.1469  0.0087  0.0383  0.0386  0.0388  0.03
Friedman 1923b   87  0.1463  0.0086  0.0385  0.0386  0.0387  0.03
Friedman 1930   84  0.2677  0.0084  0.0479  0.0485  0.0382  0.03
Garcia 2007   83  0.3176  0.0079  0.0471  0.0482  0.0384  0.03
Garcia 2007b   82  0.3272  0.0078  0.0476  0.0462  0.0475  0.04
Gierzod 1998   33  0.5435  0.0040  0.0835  0.2154  0.0548  0.10
Gornostaeva 1994   22  0.586  0.0516  0.0920  0.4525  0.3921  0.42
Groot 1988   7  0.639  0.035  0.206  0.605  0.548  0.57
Harasiewicz 1955   34  0.5343  0.0032  0.1031  0.3062  0.0547  0.12
Hatto 1993   77  0.3755  0.0067  0.0558  0.0569  0.0565  0.05
Hatto 1997   68  0.4146  0.0061  0.0652  0.0673  0.0461  0.05
Horowitz 1949   65  0.4281  0.0072  0.0477  0.0484  0.0377  0.03
Indjic 1988   76  0.3987  0.0066  0.0653  0.0678  0.0460  0.05
Kapell 1951   35  0.5329  0.0041  0.0741  0.1475  0.0452  0.07
Kissin 1993   6  0.635  0.056  0.1822  0.4229  0.2826  0.34
Kushner 1989   5  0.6411  0.028  0.125  0.6220  0.4112  0.50
Luisada 1991   28  0.5532  0.0017  0.0926  0.3733  0.3125  0.34
Lushtak 2004   20  0.598  0.039  0.137  0.5921  0.4610  0.52
Malcuzynski 1961   42  0.5178  0.0044  0.0544  0.1065  0.0455  0.06
Magaloff 1978   18  0.5924  0.007  0.1413  0.537  0.4811  0.50
Magin 1975   53  0.4745  0.0055  0.0651  0.0670  0.0458  0.05
Michalowski 1933   85  0.2280  0.0085  0.0564  0.0575  0.0469  0.04
Milkina 1970   4  0.652  0.172  0.214  0.6710  0.534  0.60
Mohovich 1999   8  0.6244  0.0010  0.1210  0.5615  0.549  0.55
Moravec 1969   14  0.6116  0.0115  0.1014  0.536  0.616  0.57
Morozova 2008   41  0.5162  0.0042  0.0643  0.1365  0.0453  0.07
Neighaus 1950   45  0.4984  0.0060  0.0746  0.0778  0.0464  0.05
Niedzielski 1931   78  0.3774  0.0070  0.0386  0.0385  0.0376  0.03
Ohlsson 1999   49  0.4859  0.0050  0.0563  0.0566  0.0468  0.04
Osinska 1989   11  0.6122  0.0112  0.1011  0.5629  0.3816  0.46
Pachmann 1927   47  0.4989  0.0059  0.0650  0.0615  0.4738  0.17
Paderewski 1930   71  0.4088  0.0071  0.0387  0.0376  0.0379  0.03
Perlemuter 1992   30  0.5464  0.0033  0.0833  0.2237  0.1932  0.20
Pierdomenico 2008   37  0.5254  0.0028  0.0828  0.353  0.5620  0.44
Poblocka 1999   31  0.5447  0.0036  0.0539  0.1578  0.0450  0.08
Rabcewiczowa 1932   43  0.4928  0.0038  0.0534  0.2235  0.1833  0.20
Rachmaninoff 1923   62  0.4451  0.0054  0.0654  0.0663  0.0457  0.05
Rangell 2001   50  0.4868  0.0034  0.0837  0.1734  0.2036  0.18
Richter 1976   66  0.4236  0.0080  0.0384  0.0366  0.0478  0.03
Rosen 1989   24  0.5750  0.0030  0.0925  0.3935  0.1830  0.26
Rosenthal 1930   67  0.4152  0.0065  0.0473  0.0441  0.1454  0.07
Rosenthal 1931   63  0.4366  0.0057  0.0567  0.0516  0.5639  0.17
Rosenthal 1931b   64  0.4265  0.0058  0.0747  0.0715  0.5135  0.19
Rosenthal 1931c   54  0.4757  0.0049  0.0657  0.0616  0.5040  0.17
Rosenthal 1931d   60  0.4558  0.0053  0.0656  0.0612  0.5737  0.18
Rossi 2007   75  0.3934  0.0063  0.0559  0.0518  0.3842  0.14
Rubinstein 1939   59  0.4642  0.0056  0.0748  0.0719  0.3641  0.16
Rubinstein 1952   3  0.661  0.181  0.183  0.713  0.702  0.70
Rubinstein 1966   19  0.5923  0.0021  0.0918  0.4919  0.4715  0.48
Schilhawsky 1960   80  0.3549  0.0083  0.0469  0.0488  0.0381  0.03
Shebanova 2002   17  0.5938  0.0026  0.0929  0.3435  0.1931  0.25
Smith 1975   16  0.6027  0.0019  0.0917  0.5221  0.3719  0.44
Sokolov 2002   46  0.4970  0.0045  0.0561  0.0544  0.1251  0.08
Sztompka 1959   61  0.4573  0.0074  0.0565  0.0569  0.0559  0.05
Tomsic 1995   1  0.673  0.173  0.331  0.731  0.761  0.74
Uninsky 1932   79  0.3779  0.0081  0.0382  0.0384  0.0383  0.03
Uninsky 1971   70  0.4040  0.0075  0.0380  0.0382  0.0380  0.03
Wasowski 1980   48  0.4953  0.0048  0.0560  0.0574  0.0466  0.04
Zak 1937   13  0.6121  0.0120  0.0815  0.5323  0.3917  0.45
Zak 1951   12  0.6117  0.0114  0.129  0.5821  0.4213  0.49
Random 1   90  -0.0883  0.0090  0.0190  0.0158  0.0489  0.02
Random 2   89  -0.0785  0.0088  0.0188  0.0174  0.0290  0.01
Random 3   88  -0.0782  0.0089  0.0189  0.0138  0.1085  0.03

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).