Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   22  0.5213  0.0136  0.0537  0.1661  0.0448  0.08
Anderszewski 2003   35  0.4957  0.0040  0.0534  0.1854  0.0446  0.08
Ashkenazy 1981   44  0.4850  0.0054  0.0563  0.0568  0.0479  0.04
Bacha 2000   37  0.4970  0.0056  0.0558  0.0538  0.2039  0.10
Badura 1965   85  0.3468  0.0086  0.0381  0.0381  0.0384  0.03
Barbosa 1983   48  0.4756  0.0043  0.0543  0.1172  0.0449  0.07
Biret 1990   1  0.631  0.291  0.291  0.692  0.641  0.66
Blet 2003   64  0.4285  0.0068  0.0565  0.0549  0.0563  0.05
Block 1995   56  0.4449  0.0038  0.0535  0.1733  0.2024  0.18
Blumental 1952   55  0.4418  0.0144  0.0544  0.1052  0.0551  0.07
Boshniakovich 1969   53  0.4642  0.0047  0.0651  0.0671  0.0466  0.05
Brailowsky 1960   43  0.4884  0.0058  0.0561  0.0565  0.0557  0.05
Bunin 1987   73  0.3982  0.0080  0.0286  0.0265  0.0485  0.03
Bunin 1987b   72  0.4032  0.0081  0.0472  0.0468  0.0472  0.04
Chiu 1999   29  0.5027  0.0028  0.0625  0.2938  0.2220  0.25
Cohen 1997   62  0.4255  0.0066  0.0469  0.0419  0.3337  0.11
Cortot 1951   19  0.5223  0.0029  0.0621  0.346  0.613  0.46
Csalog 1996   76  0.3838  0.0078  0.0382  0.0356  0.0575  0.04
Czerny 1949   18  0.526  0.048  0.086  0.5034  0.2512  0.35
Czerny 1990   11  0.5446  0.0020  0.0818  0.3957  0.0529  0.14
Duchoud 2007   34  0.4912  0.0149  0.0649  0.0635  0.2036  0.11
Ezaki 2006   14  0.534  0.0519  0.0830  0.2569  0.0438  0.10
Falvay 1989   10  0.545  0.057  0.1112  0.4527  0.357  0.40
Farrell 1958   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ferenczy 1958   68  0.4164  0.0077  0.0377  0.0350  0.0577  0.04
Fliere 1977   15  0.5321  0.0024  0.0622  0.3279  0.0340  0.10
Fou 1978   17  0.5373  0.0012  0.0817  0.4047  0.0626  0.15
Francois 1956   30  0.5030  0.0015  0.1019  0.3828  0.389  0.38
Friedman 1923   79  0.3783  0.0071  0.0379  0.0348  0.0769  0.05
Friedman 1923b   78  0.3887  0.0070  0.0374  0.0347  0.0767  0.05
Friedman 1930   80  0.3736  0.0072  0.0471  0.0453  0.0576  0.04
Garcia 2007   67  0.4117  0.0139  0.0542  0.1313  0.4322  0.24
Garcia 2007b   63  0.4243  0.0030  0.0527  0.278  0.5010  0.37
Gierzod 1998   33  0.4989  0.0041  0.0541  0.1367  0.0450  0.07
Gornostaeva 1994   28  0.5166  0.0048  0.0747  0.0747  0.0556  0.06
Groot 1988   13  0.5348  0.0014  0.1116  0.4139  0.1719  0.26
Harasiewicz 1955   54  0.4671  0.0033  0.0629  0.2563  0.0442  0.10
Hatto 1993   59  0.4354  0.0065  0.0466  0.0457  0.0668  0.05
Hatto 1997   42  0.4853  0.0053  0.0467  0.0442  0.1054  0.06
Horowitz 1949   69  0.4176  0.0074  0.0285  0.0272  0.0388  0.02
Indjic 1988   60  0.4390  0.0069  0.0564  0.0554  0.0662  0.05
Kapell 1951   25  0.5111  0.0121  0.0913  0.4360  0.0431  0.13
Kissin 1993   49  0.4752  0.0051  0.0648  0.0659  0.0560  0.05
Kushner 1989   12  0.5419  0.0116  0.098  0.4762  0.0527  0.15
Luisada 1991   41  0.4861  0.0060  0.0562  0.0566  0.0471  0.04
Lushtak 2004   3  0.577  0.043  0.164  0.5431  0.336  0.42
Malcuzynski 1961   26  0.5144  0.0050  0.0745  0.0761  0.0459  0.05
Magaloff 1978   9  0.548  0.039  0.0914  0.4331  0.2115  0.30
Magin 1975   74  0.3977  0.0076  0.0376  0.0376  0.0381  0.03
Michalowski 1933   87  0.2988  0.0085  0.0283  0.0258  0.0682  0.03
Milkina 1970   6  0.5631  0.0013  0.1111  0.4635  0.2413  0.33
Mohovich 1999   40  0.4841  0.0045  0.0655  0.0650  0.0755  0.06
Moravec 1969   50  0.4733  0.0059  0.0559  0.0558  0.0470  0.04
Morozova 2008   20  0.5226  0.0022  0.0720  0.3469  0.0434  0.12
Neighaus 1950   2  0.5924  0.004  0.163  0.5738  0.1914  0.33
Niedzielski 1931   52  0.4625  0.0062  0.0657  0.0645  0.0752  0.06
Ohlsson 1999   8  0.5515  0.0127  0.0631  0.2356  0.0535  0.11
Osinska 1989   5  0.562  0.212  0.372  0.6217  0.482  0.55
Pachmann 1927   71  0.4062  0.0067  0.0468  0.0435  0.2043  0.09
Paderewski 1930   57  0.4440  0.0046  0.0654  0.0619  0.3128  0.14
Perlemuter 1992   65  0.4158  0.0032  0.0639  0.1663  0.0444  0.08
Pierdomenico 2008   58  0.4486  0.0042  0.0640  0.1517  0.3921  0.24
Poblocka 1999   36  0.4934  0.0037  0.0638  0.1669  0.0445  0.08
Rabcewiczowa 1932   23  0.519  0.025  0.1315  0.4212  0.445  0.43
Rachmaninoff 1923   24  0.513  0.096  0.127  0.5029  0.2411  0.35
Rangell 2001   47  0.4728  0.0026  0.0636  0.1630  0.2523  0.20
Richter 1976   81  0.3660  0.0087  0.0470  0.0465  0.0473  0.04
Rosen 1989   27  0.5139  0.0034  0.0633  0.2165  0.0541  0.10
Rosenthal 1930   70  0.4035  0.0075  0.0378  0.0360  0.0578  0.04
Rosenthal 1931   83  0.3574  0.0084  0.0375  0.0345  0.0674  0.04
Rosenthal 1931b   84  0.3472  0.0082  0.0380  0.0351  0.0580  0.04
Rosenthal 1931c   77  0.3845  0.0079  0.0284  0.0247  0.0587  0.03
Rosenthal 1931d   82  0.3580  0.0083  0.0287  0.0249  0.0686  0.03
Rossi 2007   86  0.3465  0.0061  0.0652  0.0613  0.4325  0.16
Rubinstein 1939   21  0.5214  0.0118  0.0823  0.329  0.468  0.38
Rubinstein 1952   46  0.4875  0.0031  0.0832  0.2127  0.3418  0.27
Rubinstein 1966   4  0.5710  0.0217  0.1110  0.4723  0.414  0.44
Schilhawsky 1960   61  0.4216  0.0163  0.0650  0.0659  0.0564  0.05
Shebanova 2002   39  0.4981  0.0055  0.0653  0.0681  0.0465  0.05
Smith 1975   16  0.5322  0.0010  0.089  0.4741  0.1517  0.27
Sokolov 2002   45  0.4829  0.0057  0.0656  0.0668  0.0458  0.05
Sztompka 1959   7  0.5620  0.0011  0.085  0.5136  0.1516  0.28
Tomsic 1995   51  0.4647  0.0052  0.0746  0.0756  0.0653  0.06
Uninsky 1932   75  0.3969  0.0073  0.0373  0.0373  0.0483  0.03
Uninsky 1971   66  0.4159  0.0064  0.0560  0.0558  0.0561  0.05
Wasowski 1980   32  0.5037  0.0035  0.0528  0.2545  0.0730  0.13
Zak 1937   31  0.5063  0.0023  0.0724  0.3152  0.0533  0.12
Zak 1951   38  0.4951  0.0025  0.0726  0.2852  0.0632  0.13
Random 1   90  -0.0778  0.0089  0.0189  0.0153  0.0489  0.02
Random 2   88  0.0167  0.0088  0.0288  0.0221  0.3347  0.08
Random 3   89  -0.0479  0.0090  0.0190  0.0172  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).