Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   21  0.4526  0.0028  0.0729  0.3172  0.0333  0.10
Anderszewski 2003   74  0.2929  0.0064  0.0558  0.0583  0.0359  0.04
Ashkenazy 1981   58  0.3661  0.0058  0.0555  0.0588  0.0281  0.03
Bacha 2000   46  0.3833  0.0063  0.0559  0.0585  0.0353  0.04
Badura 1965   57  0.3632  0.0035  0.0636  0.2078  0.0338  0.08
Barbosa 1983   42  0.4069  0.0024  0.0820  0.3958  0.0522  0.14
Biret 1990   48  0.3879  0.0060  0.0556  0.0585  0.0282  0.03
Blet 2003   47  0.3837  0.0065  0.0653  0.0682  0.0360  0.04
Block 1995   45  0.3965  0.0046  0.0747  0.0779  0.0351  0.05
Blumental 1952   87  0.2189  0.0086  0.0382  0.0371  0.0480  0.03
Boshniakovich 1969   3  0.541  0.231  0.235  0.6344  0.113  0.26
Brailowsky 1960   39  0.4141  0.0061  0.0650  0.0684  0.0354  0.04
Bunin 1987   20  0.4513  0.0215  0.1314  0.4850  0.0614  0.17
Bunin 1987b   24  0.4517  0.0114  0.1213  0.4943  0.106  0.22
Chiu 1999   11  0.4814  0.014  0.156  0.5640  0.171  0.31
Cohen 1997   70  0.3125  0.0062  0.0467  0.0455  0.0564  0.04
Cortot 1951   86  0.2184  0.0087  0.0287  0.0287  0.0290  0.02
Csalog 1996   33  0.4224  0.0125  0.0819  0.4039  0.144  0.24
Czerny 1949   63  0.3382  0.0071  0.0379  0.0384  0.0377  0.03
Czerny 1990   44  0.4055  0.0048  0.0563  0.0568  0.0466  0.04
Duchoud 2007   62  0.3462  0.0066  0.0651  0.0665  0.0450  0.05
Ezaki 2006   32  0.4388  0.0043  0.0741  0.1484  0.0343  0.06
Falvay 1989   10  0.4942  0.0016  0.1415  0.4750  0.0611  0.17
Farrell 1958   43  0.4043  0.0037  0.0635  0.2068  0.0435  0.09
Ferenczy 1958   71  0.3090  0.0083  0.0383  0.0381  0.0288  0.02
Fliere 1977   2  0.544  0.093  0.282  0.6961  0.0410  0.17
Fou 1978   1  0.542  0.182  0.221  0.7261  0.058  0.19
Francois 1956   36  0.4151  0.0051  0.0746  0.0783  0.0352  0.05
Friedman 1923   83  0.2466  0.0084  0.0381  0.0370  0.0568  0.04
Friedman 1923b   82  0.2647  0.0081  0.0477  0.0478  0.0465  0.04
Friedman 1930   78  0.2922  0.0176  0.0474  0.0483  0.0376  0.03
Garcia 2007   77  0.2978  0.0078  0.0380  0.0383  0.0378  0.03
Garcia 2007b   84  0.2477  0.0080  0.0470  0.0478  0.0386  0.03
Gierzod 1998   34  0.4249  0.0032  0.0638  0.1871  0.0341  0.07
Gornostaeva 1994   22  0.4531  0.0033  0.0632  0.2384  0.0242  0.07
Groot 1988   23  0.4540  0.0021  0.0724  0.3568  0.0424  0.12
Harasiewicz 1955   27  0.4428  0.0020  0.0922  0.3879  0.0327  0.11
Hatto 1993   73  0.2985  0.0057  0.0561  0.0574  0.0467  0.04
Hatto 1997   67  0.3127  0.0055  0.0560  0.0582  0.0362  0.04
Horowitz 1949   50  0.3744  0.0047  0.0845  0.0883  0.0347  0.05
Indjic 1988   66  0.3180  0.0056  0.0466  0.0471  0.0458  0.04
Kapell 1951   40  0.4023  0.0150  0.0652  0.0683  0.0357  0.04
Kissin 1993   7  0.4918  0.0111  0.1011  0.5066  0.0517  0.16
Kushner 1989   30  0.4345  0.0039  0.0633  0.2281  0.0337  0.08
Luisada 1991   53  0.3776  0.0054  0.0469  0.0485  0.0370  0.03
Lushtak 2004   14  0.473  0.098  0.1512  0.5044  0.125  0.24
Malcuzynski 1961   19  0.4546  0.0023  0.0827  0.3478  0.0330  0.10
Magaloff 1978   15  0.477  0.037  0.217  0.5565  0.0418  0.15
Magin 1975   55  0.3635  0.0036  0.0642  0.1383  0.0344  0.06
Michalowski 1933   75  0.2930  0.0072  0.0384  0.0379  0.0374  0.03
Milkina 1970   25  0.4439  0.0031  0.0725  0.3584  0.0329  0.10
Mohovich 1999   12  0.4856  0.0019  0.0821  0.3880  0.0326  0.11
Moravec 1969   72  0.3059  0.0082  0.0386  0.0370  0.0469  0.03
Morozova 2008   51  0.3760  0.0045  0.0654  0.0684  0.0361  0.04
Neighaus 1950   5  0.509  0.039  0.118  0.5557  0.0515  0.17
Niedzielski 1931   68  0.3171  0.0079  0.0478  0.0480  0.0372  0.03
Ohlsson 1999   29  0.4319  0.0126  0.0928  0.3385  0.0331  0.10
Osinska 1989   28  0.4338  0.0041  0.0639  0.1784  0.0339  0.07
Pachmann 1927   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Paderewski 1930   18  0.458  0.0310  0.1018  0.4335  0.182  0.28
Perlemuter 1992   17  0.4636  0.0029  0.0630  0.2764  0.0428  0.10
Pierdomenico 2008   37  0.4121  0.0130  0.0634  0.2241  0.1312  0.17
Poblocka 1999   31  0.4334  0.0040  0.0637  0.2073  0.0434  0.09
Rabcewiczowa 1932   54  0.3767  0.0052  0.0557  0.0573  0.0456  0.04
Rachmaninoff 1923   64  0.3386  0.0068  0.0562  0.0582  0.0355  0.04
Rangell 2001   41  0.4063  0.0027  0.0726  0.3449  0.0623  0.14
Richter 1976   13  0.4810  0.0318  0.1216  0.4656  0.0519  0.15
Rosen 1989   16  0.4716  0.0122  0.1023  0.3776  0.0325  0.11
Rosenthal 1930   79  0.2883  0.0077  0.0471  0.0487  0.0279  0.03
Rosenthal 1931   80  0.2764  0.0075  0.0475  0.0482  0.0375  0.03
Rosenthal 1931b   81  0.2774  0.0074  0.0464  0.0482  0.0284  0.03
Rosenthal 1931c   69  0.3173  0.0073  0.0472  0.0477  0.0385  0.03
Rosenthal 1931d   76  0.2953  0.0070  0.0476  0.0470  0.0383  0.03
Rossi 2007   85  0.2354  0.0085  0.0385  0.0386  0.0287  0.02
Rubinstein 1939   61  0.3512  0.0234  0.0740  0.1742  0.1121  0.14
Rubinstein 1952   26  0.4411  0.0213  0.119  0.5146  0.087  0.20
Rubinstein 1966   35  0.4270  0.0044  0.0644  0.1264  0.0440  0.07
Schilhawsky 1960   38  0.4157  0.0038  0.0631  0.2473  0.0432  0.10
Shebanova 2002   9  0.4920  0.0117  0.1017  0.4660  0.0520  0.15
Smith 1975   49  0.3852  0.0059  0.0748  0.0786  0.0346  0.05
Sokolov 2002   60  0.3550  0.0053  0.0468  0.0474  0.0371  0.03
Sztompka 1959   56  0.3648  0.0067  0.0465  0.0486  0.0273  0.03
Tomsic 1995   8  0.4915  0.0112  0.1010  0.5151  0.0613  0.17
Uninsky 1932   65  0.3375  0.0069  0.0473  0.0471  0.0463  0.04
Uninsky 1971   52  0.3768  0.0049  0.0649  0.0669  0.0448  0.05
Wasowski 1980   59  0.3558  0.0042  0.0743  0.1358  0.0536  0.08
Zak 1937   4  0.516  0.046  0.263  0.6472  0.0416  0.16
Zak 1951   6  0.505  0.055  0.184  0.6464  0.059  0.18
Random 1   89  -0.0572  0.0089  0.0189  0.0117  0.3445  0.06
Random 2   88  -0.0581  0.0088  0.0188  0.0132  0.2249  0.05
Random 3   90  -0.0787  0.0090  0.0190  0.0176  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).