Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   31  0.5018  0.0041  0.0644  0.1453  0.0552  0.08
Anderszewski 2003   76  0.3267  0.0069  0.0482  0.0471  0.0379  0.03
Ashkenazy 1981   53  0.4327  0.0056  0.0555  0.0575  0.0472  0.04
Bacha 2000   38  0.4885  0.0027  0.0826  0.3618  0.4419  0.40
Badura 1965   77  0.3264  0.0067  0.0471  0.0465  0.0470  0.04
Barbosa 1983   34  0.4946  0.0022  0.0922  0.4127  0.3420  0.37
Biret 1990   27  0.5126  0.0023  0.0923  0.4050  0.0737  0.17
Blet 2003   44  0.4472  0.0053  0.0556  0.0565  0.0466  0.04
Block 1995   52  0.4368  0.0028  0.0836  0.2039  0.1633  0.18
Blumental 1952   56  0.4259  0.0055  0.0565  0.0564  0.0471  0.04
Boshniakovich 1969   42  0.4648  0.0043  0.0739  0.1750  0.0647  0.10
Brailowsky 1960   23  0.5235  0.0029  0.0724  0.3914  0.5616  0.47
Bunin 1987   78  0.3252  0.0083  0.0480  0.0487  0.0286  0.03
Bunin 1987b   79  0.3281  0.0084  0.0472  0.0488  0.0275  0.03
Chiu 1999   50  0.4379  0.0030  0.0730  0.3238  0.2323  0.27
Cohen 1997   32  0.4956  0.0015  0.1218  0.512  0.659  0.58
Cortot 1951   81  0.3140  0.0080  0.0387  0.0380  0.0388  0.03
Csalog 1996   9  0.6137  0.008  0.1912  0.594  0.677  0.63
Czerny 1949   60  0.4038  0.0065  0.0466  0.0472  0.0468  0.04
Czerny 1990   20  0.5365  0.0033  0.0735  0.2256  0.0645  0.11
Duchoud 2007   65  0.3763  0.0074  0.0470  0.0476  0.0469  0.04
Ezaki 2006   29  0.5030  0.0047  0.0749  0.0756  0.0654  0.06
Falvay 1989   2  0.669  0.015  0.274  0.704  0.714  0.70
Farrell 1958   39  0.4843  0.0034  0.0728  0.3433  0.2124  0.27
Ferenczy 1958   67  0.3676  0.0082  0.0563  0.0572  0.0367  0.04
Fliere 1977   18  0.5441  0.0020  0.1316  0.5245  0.0929  0.22
Fou 1978   7  0.624  0.063  0.227  0.635  0.636  0.63
Francois 1956   22  0.5249  0.0032  0.0727  0.3533  0.2921  0.32
Friedman 1923   88  0.0886  0.0088  0.0485  0.0484  0.0389  0.03
Friedman 1923b   87  0.0887  0.0087  0.0388  0.0384  0.0387  0.03
Friedman 1930   86  0.1570  0.0085  0.0386  0.0388  0.0381  0.03
Garcia 2007   83  0.2780  0.0078  0.0475  0.0473  0.0384  0.03
Garcia 2007b   84  0.2642  0.0070  0.0483  0.0448  0.0573  0.04
Gierzod 1998   35  0.4953  0.0037  0.0641  0.1749  0.0646  0.10
Gornostaeva 1994   41  0.4728  0.0036  0.0734  0.2345  0.1236  0.17
Groot 1988   10  0.605  0.0512  0.1414  0.5817  0.4414  0.51
Harasiewicz 1955   57  0.4121  0.0044  0.0938  0.1859  0.0549  0.09
Hatto 1993   74  0.3378  0.0059  0.0652  0.0665  0.0561  0.05
Hatto 1997   69  0.3639  0.0057  0.0750  0.0757  0.0555  0.06
Horowitz 1949   62  0.3933  0.0076  0.0562  0.0581  0.0363  0.04
Indjic 1988   72  0.3574  0.0058  0.0654  0.0644  0.1251  0.08
Kapell 1951   25  0.5134  0.0046  0.0559  0.0549  0.0558  0.05
Kissin 1993   5  0.646  0.037  0.233  0.755  0.673  0.71
Kushner 1989   17  0.5516  0.0019  0.1120  0.4953  0.0634  0.17
Luisada 1991   26  0.5120  0.0021  0.1125  0.3742  0.2222  0.29
Lushtak 2004   19  0.5313  0.019  0.1517  0.5225  0.4118  0.46
Malcuzynski 1961   47  0.4455  0.0063  0.0478  0.0486  0.0376  0.03
Magaloff 1978   14  0.5810  0.0111  0.1313  0.596  0.5410  0.56
Magin 1975   43  0.4517  0.0039  0.0640  0.1737  0.1639  0.16
Michalowski 1933   85  0.1762  0.0086  0.0467  0.0484  0.0377  0.03
Milkina 1970   3  0.657  0.034  0.346  0.672  0.685  0.67
Mohovich 1999   8  0.628  0.0213  0.208  0.6011  0.648  0.62
Moravec 1969   21  0.5222  0.0040  0.0643  0.1524  0.3128  0.22
Morozova 2008   48  0.4360  0.0045  0.0645  0.1180  0.0453  0.07
Neighaus 1950   51  0.4357  0.0052  0.0564  0.0563  0.0560  0.05
Niedzielski 1931   71  0.3569  0.0072  0.0484  0.0458  0.0374  0.03
Ohlsson 1999   33  0.4914  0.0025  0.1029  0.3337  0.2025  0.26
Osinska 1989   16  0.5812  0.0110  0.1210  0.6016  0.4911  0.54
Pachmann 1927   46  0.4423  0.0049  0.0847  0.0810  0.5132  0.20
Paderewski 1930   58  0.4177  0.0064  0.0476  0.0459  0.0465  0.04
Perlemuter 1992   36  0.4915  0.0031  0.0632  0.2441  0.1631  0.20
Pierdomenico 2008   54  0.4258  0.0042  0.0637  0.1849  0.0744  0.11
Poblocka 1999   28  0.5066  0.0048  0.0748  0.0745  0.1050  0.08
Rabcewiczowa 1932   40  0.4754  0.0035  0.0833  0.2449  0.0743  0.13
Rachmaninoff 1923   80  0.3250  0.0071  0.0468  0.0477  0.0462  0.04
Rangell 2001   37  0.4961  0.0024  0.0931  0.2833  0.2327  0.25
Richter 1976   64  0.3825  0.0050  0.0557  0.0564  0.0464  0.04
Rosen 1989   24  0.5247  0.0026  0.0821  0.4348  0.0735  0.17
Rosenthal 1930   75  0.3331  0.0079  0.0479  0.0478  0.0385  0.03
Rosenthal 1931   66  0.3690  0.0061  0.0653  0.0629  0.3840  0.15
Rosenthal 1931b   70  0.3684  0.0062  0.0651  0.0629  0.3141  0.14
Rosenthal 1931c   55  0.4271  0.0054  0.0561  0.0521  0.4242  0.14
Rosenthal 1931d   59  0.4082  0.0060  0.0946  0.0915  0.4730  0.21
Rossi 2007   82  0.2883  0.0068  0.0474  0.0433  0.2148  0.09
Rubinstein 1939   6  0.631  0.301  0.295  0.681  0.742  0.71
Rubinstein 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1966   1  0.712  0.232  0.461  0.812  0.861  0.83
Schilhawsky 1960   68  0.3645  0.0073  0.0481  0.0482  0.0380  0.03
Shebanova 2002   12  0.5919  0.0014  0.169  0.6022  0.4713  0.53
Smith 1975   30  0.5024  0.0038  0.0642  0.1641  0.1638  0.16
Sokolov 2002   49  0.4332  0.0066  0.0558  0.0562  0.0557  0.05
Sztompka 1959   61  0.3936  0.0075  0.0477  0.0458  0.0659  0.05
Tomsic 1995   11  0.6011  0.0118  0.1719  0.5113  0.5512  0.53
Uninsky 1932   73  0.3375  0.0081  0.0473  0.0486  0.0382  0.03
Uninsky 1971   63  0.3844  0.0077  0.0469  0.0484  0.0378  0.03
Wasowski 1980   45  0.4451  0.0051  0.0560  0.0563  0.0556  0.05
Zak 1937   13  0.5873  0.0017  0.1715  0.5523  0.3917  0.46
Zak 1951   15  0.5829  0.0016  0.1211  0.5924  0.4015  0.49
Average   4  0.653  0.156  0.332  0.8146  0.0826  0.25
Random 1   91  -0.0888  0.0091  0.0191  0.0163  0.0390  0.02
Random 2   89  -0.0189  0.0089  0.0289  0.0248  0.0583  0.03
Random 3   90  -0.0491  0.0090  0.0190  0.0170  0.0391  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).