Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   37  0.4277  0.0031  0.0827  0.3164  0.0435  0.11
Anderszewski 2003   29  0.4474  0.0051  0.0649  0.0685  0.0371  0.04
Ashkenazy 1981   10  0.5133  0.007  0.087  0.5541  0.1711  0.31
Bacha 2000   81  0.2586  0.0079  0.0479  0.0487  0.0275  0.03
Badura 1965   22  0.4720  0.0035  0.0732  0.2540  0.2118  0.23
Barbosa 1983   62  0.3563  0.0061  0.0559  0.0546  0.0745  0.06
Biret 1990   53  0.3951  0.0053  0.0566  0.0555  0.0655  0.05
Blet 2003   52  0.3949  0.0056  0.0560  0.0559  0.0551  0.05
Block 1995   65  0.3427  0.0059  0.0565  0.0577  0.0373  0.04
Blumental 1952   51  0.3944  0.0030  0.0738  0.1753  0.0538  0.09
Boshniakovich 1969   26  0.4555  0.0037  0.0636  0.1853  0.0539  0.09
Brailowsky 1960   75  0.2976  0.0078  0.0477  0.0474  0.0461  0.04
Bunin 1987   42  0.4143  0.0018  0.1017  0.4521  0.386  0.41
Bunin 1987b   48  0.4039  0.0019  0.1118  0.4421  0.395  0.41
Chiu 1999   20  0.4711  0.0042  0.0642  0.1158  0.0543  0.07
Cohen 1997   84  0.2072  0.0086  0.0384  0.0380  0.0384  0.03
Cortot 1951   66  0.3462  0.0070  0.0746  0.0782  0.0356  0.05
Csalog 1996   86  0.1519  0.0085  0.0386  0.0369  0.0481  0.03
Czerny 1949   16  0.4824  0.0017  0.0914  0.4749  0.0723  0.18
Czerny 1990   8  0.526  0.016  0.094  0.6052  0.0622  0.19
Duchoud 2007   50  0.3945  0.0045  0.0556  0.0551  0.0554  0.05
Ezaki 2006   23  0.4683  0.0034  0.0730  0.2761  0.0528  0.12
Falvay 1989   78  0.2678  0.0081  0.0385  0.0379  0.0476  0.03
Farrell 1958   59  0.3780  0.0062  0.0553  0.0571  0.0465  0.04
Ferenczy 1958   72  0.3185  0.0067  0.0651  0.0667  0.0452  0.05
Fliere 1977   3  0.544  0.028  0.093  0.6049  0.0621  0.19
Fou 1978   70  0.3128  0.0068  0.0647  0.0683  0.0366  0.04
Francois 1956   54  0.3984  0.0043  0.0543  0.1063  0.0446  0.06
Friedman 1923   2  0.762  0.162  0.781  0.852  0.911  0.88
Friedman 1923b   1  0.761  0.651  0.642  0.842  0.912  0.87
Friedman 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Garcia 2007   63  0.3546  0.0069  0.0561  0.0573  0.0372  0.04
Garcia 2007b   56  0.3965  0.0052  0.0381  0.0354  0.0488  0.03
Gierzod 1998   15  0.4930  0.0010  0.1112  0.5043  0.1515  0.27
Gornostaeva 1994   24  0.469  0.0115  0.0823  0.3640  0.1519  0.23
Groot 1988   60  0.3629  0.0028  0.0835  0.1971  0.0440  0.09
Harasiewicz 1955   9  0.5114  0.0025  0.0920  0.4267  0.0427  0.13
Hatto 1993   11  0.5010  0.0122  0.1316  0.4628  0.1913  0.30
Hatto 1997   14  0.4922  0.0020  0.1111  0.5137  0.1414  0.27
Horowitz 1949   39  0.4212  0.0044  0.0544  0.1038  0.2724  0.16
Indjic 1988   13  0.4952  0.0021  0.1015  0.4633  0.1912  0.30
Kapell 1951   34  0.437  0.0124  0.1024  0.3668  0.0430  0.12
Kissin 1993   67  0.3340  0.0065  0.0570  0.0575  0.0370  0.04
Kushner 1989   40  0.4268  0.0055  0.0652  0.0682  0.0367  0.04
Luisada 1991   43  0.4116  0.0046  0.0472  0.0473  0.0460  0.04
Lushtak 2004   28  0.4559  0.0038  0.0637  0.1871  0.0442  0.08
Malcuzynski 1961   30  0.4467  0.0026  0.0925  0.3257  0.0434  0.11
Magaloff 1978   38  0.428  0.0132  0.0833  0.2447  0.0532  0.11
Magin 1975   31  0.4315  0.0039  0.0541  0.1360  0.0444  0.07
Michalowski 1933   12  0.4913  0.0023  0.1121  0.4117  0.407  0.40
Milkina 1970   80  0.2554  0.0080  0.0569  0.0575  0.0468  0.04
Mohovich 1999   64  0.3487  0.0060  0.0567  0.0581  0.0374  0.04
Moravec 1969   71  0.3137  0.0063  0.0564  0.0581  0.0359  0.04
Morozova 2008   25  0.4653  0.0033  0.0634  0.2256  0.0537  0.10
Neighaus 1950   5  0.5341  0.009  0.135  0.5842  0.1316  0.27
Niedzielski 1931   47  0.4042  0.0013  0.0828  0.2927  0.3310  0.31
Ohlsson 1999   19  0.4734  0.0012  0.1126  0.3157  0.0531  0.12
Osinska 1989   32  0.4323  0.0049  0.0568  0.0564  0.0548  0.05
Pachmann 1927   76  0.2918  0.0082  0.0383  0.0374  0.0479  0.03
Paderewski 1930   41  0.4131  0.0041  0.0639  0.1625  0.2820  0.21
Perlemuter 1992   55  0.3979  0.0058  0.0745  0.0770  0.0447  0.05
Pierdomenico 2008   69  0.3271  0.0071  0.0558  0.0566  0.0549  0.05
Poblocka 1999   49  0.3948  0.0048  0.0554  0.0575  0.0462  0.04
Rabcewiczowa 1932   44  0.4125  0.0057  0.0650  0.0665  0.0450  0.05
Rachmaninoff 1923   6  0.5236  0.004  0.136  0.5821  0.373  0.46
Rangell 2001   79  0.2538  0.0076  0.0474  0.0472  0.0385  0.03
Richter 1976   58  0.3735  0.0064  0.0473  0.0477  0.0378  0.03
Rosen 1989   17  0.483  0.0414  0.0710  0.5142  0.1217  0.25
Rosenthal 1930   45  0.4161  0.0050  0.0563  0.0523  0.3426  0.13
Rosenthal 1931   77  0.2664  0.0075  0.0382  0.0378  0.0380  0.03
Rosenthal 1931b   74  0.2981  0.0072  0.0562  0.0552  0.0557  0.05
Rosenthal 1931c   61  0.3556  0.0066  0.0648  0.0649  0.0558  0.05
Rosenthal 1931d   82  0.2582  0.0077  0.0476  0.0469  0.0386  0.03
Rossi 2007   68  0.3266  0.0073  0.0557  0.0563  0.0464  0.04
Rubinstein 1939   85  0.1975  0.0087  0.0475  0.0487  0.0277  0.03
Rubinstein 1952   87  0.1569  0.0084  0.0387  0.0385  0.0387  0.03
Rubinstein 1966   73  0.3047  0.0074  0.0478  0.0485  0.0382  0.03
Schilhawsky 1960   7  0.5257  0.0011  0.1213  0.4734  0.289  0.36
Shebanova 2002   36  0.4217  0.0047  0.0471  0.0449  0.0653  0.05
Smith 1975   18  0.4726  0.0027  0.0922  0.3977  0.0333  0.11
Sokolov 2002   57  0.3870  0.0054  0.0555  0.0567  0.0463  0.04
Sztompka 1959   4  0.5321  0.003  0.128  0.5329  0.268  0.37
Tomsic 1995   83  0.2288  0.0083  0.0480  0.0466  0.0569  0.04
Uninsky 1932   21  0.4758  0.005  0.169  0.5222  0.404  0.46
Uninsky 1971   46  0.4160  0.0016  0.0719  0.4267  0.0525  0.14
Wasowski 1980   27  0.455  0.0229  0.0729  0.2954  0.0529  0.12
Zak 1937   35  0.4332  0.0040  0.0640  0.1674  0.0441  0.08
Zak 1951   33  0.4350  0.0036  0.0631  0.2580  0.0436  0.10
Random 1   90  -0.1189  0.0090  0.0190  0.0182  0.0290  0.01
Random 2   88  -0.0273  0.0089  0.0288  0.0246  0.0583  0.03
Random 3   89  -0.0290  0.0088  0.0289  0.0266  0.0389  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).