Francois 1956

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.5551  0.0022  0.1021  0.4758  0.0526  0.15
Anderszewski 2003   38  0.4848  0.0053  0.0462  0.0476  0.0382  0.03
Ashkenazy 1981   49  0.4745  0.0041  0.0739  0.1864  0.0446  0.08
Bacha 2000   39  0.4859  0.0039  0.0837  0.2128  0.2314  0.22
Badura 1965   68  0.4078  0.0073  0.0471  0.0465  0.0574  0.04
Barbosa 1983   73  0.3974  0.0065  0.0376  0.0353  0.0570  0.04
Biret 1990   16  0.546  0.057  0.168  0.5939  0.1810  0.33
Blet 2003   37  0.4855  0.0050  0.0466  0.0448  0.0657  0.05
Block 1995   84  0.3471  0.0077  0.0384  0.0379  0.0386  0.03
Blumental 1952   34  0.4946  0.0023  0.1027  0.4256  0.0529  0.14
Boshniakovich 1969   20  0.5318  0.0128  0.0734  0.2968  0.0439  0.11
Brailowsky 1960   70  0.4079  0.0084  0.0386  0.0355  0.0564  0.04
Bunin 1987   77  0.3769  0.0079  0.0380  0.0367  0.0487  0.03
Bunin 1987b   83  0.3587  0.0081  0.0381  0.0350  0.0567  0.04
Chiu 1999   67  0.4237  0.0069  0.0467  0.0463  0.0465  0.04
Cohen 1997   74  0.3943  0.0067  0.0474  0.0427  0.2441  0.10
Cortot 1951   78  0.3684  0.0078  0.0377  0.0361  0.0576  0.04
Csalog 1996   80  0.3633  0.0070  0.0459  0.0470  0.0471  0.04
Czerny 1949   12  0.5532  0.0025  0.0926  0.4355  0.0621  0.16
Czerny 1990   2  0.603  0.073  0.146  0.6051  0.0617  0.19
Duchoud 2007   81  0.3552  0.0076  0.0385  0.0378  0.0384  0.03
Ezaki 2006   54  0.4549  0.0062  0.0745  0.0785  0.0353  0.05
Falvay 1989   50  0.4685  0.0061  0.0554  0.0546  0.0947  0.07
Farrell 1958   18  0.547  0.042  0.135  0.6124  0.424  0.51
Ferenczy 1958   76  0.3763  0.0075  0.0378  0.0377  0.0383  0.03
Fliere 1977   15  0.5436  0.0024  0.0823  0.4477  0.0430  0.13
Fou 1978   11  0.5541  0.0018  0.1318  0.4948  0.0618  0.17
Francois 1956   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1923   55  0.4542  0.0054  0.0463  0.0462  0.0577  0.04
Friedman 1923b   60  0.4447  0.0055  0.0460  0.0461  0.0575  0.04
Friedman 1930   51  0.4635  0.0058  0.0550  0.0563  0.0558  0.05
Garcia 2007   52  0.4672  0.0052  0.0551  0.0554  0.0560  0.05
Garcia 2007b   27  0.5128  0.0021  0.0919  0.4740  0.1113  0.23
Gierzod 1998   6  0.5810  0.028  0.157  0.6063  0.0427  0.15
Gornostaeva 1994   17  0.5426  0.0027  0.0730  0.3548  0.0438  0.12
Groot 1988   26  0.515  0.0612  0.1117  0.4933  0.1811  0.30
Harasiewicz 1955   30  0.5020  0.0140  0.0841  0.1466  0.0451  0.07
Hatto 1993   61  0.4465  0.0044  0.0644  0.1271  0.0450  0.07
Hatto 1997   57  0.4583  0.0048  0.0552  0.0560  0.0559  0.05
Horowitz 1949   86  0.3280  0.0086  0.0382  0.0375  0.0480  0.03
Indjic 1988   56  0.4586  0.0042  0.0642  0.1346  0.0740  0.10
Kapell 1951   40  0.4875  0.0047  0.0646  0.0677  0.0456  0.05
Kissin 1993   28  0.5124  0.0030  0.0833  0.3058  0.0537  0.12
Kushner 1989   1  0.601  0.291  0.299  0.5931  0.326  0.43
Luisada 1991   45  0.4758  0.0056  0.0555  0.0565  0.0554  0.05
Lushtak 2004   19  0.5427  0.0019  0.0916  0.5056  0.0522  0.16
Malcuzynski 1961   59  0.4430  0.0063  0.0461  0.0484  0.0379  0.03
Magaloff 1978   21  0.5323  0.0026  0.0925  0.4430  0.268  0.34
Magin 1975   25  0.519  0.0315  0.1122  0.4548  0.0523  0.15
Michalowski 1933   43  0.4716  0.0143  0.0643  0.1239  0.2024  0.15
Milkina 1970   5  0.5839  0.0013  0.1313  0.5347  0.0716  0.19
Mohovich 1999   33  0.5066  0.0037  0.0838  0.2067  0.0444  0.09
Moravec 1969   69  0.4064  0.0071  0.0464  0.0465  0.0462  0.04
Morozova 2008   62  0.4422  0.0035  0.0736  0.2171  0.0443  0.09
Neighaus 1950   3  0.602  0.105  0.132  0.6423  0.355  0.47
Niedzielski 1931   41  0.4819  0.0138  0.0840  0.1749  0.0542  0.09
Ohlsson 1999   22  0.5231  0.0032  0.1124  0.4445  0.0619  0.16
Osinska 1989   8  0.5825  0.0016  0.1114  0.5245  0.0915  0.22
Pachmann 1927   64  0.4360  0.0080  0.0375  0.0343  0.1548  0.07
Paderewski 1930   14  0.5411  0.0211  0.1211  0.561  0.691  0.62
Perlemuter 1992   9  0.574  0.069  0.163  0.6312  0.513  0.57
Pierdomenico 2008   29  0.5113  0.0214  0.1110  0.585  0.582  0.58
Poblocka 1999   65  0.4281  0.0066  0.0470  0.0485  0.0378  0.03
Rabcewiczowa 1932   23  0.5212  0.0210  0.1412  0.5434  0.209  0.33
Rachmaninoff 1923   36  0.4934  0.0033  0.0831  0.3477  0.0435  0.12
Rangell 2001   58  0.4444  0.0046  0.0648  0.0634  0.2733  0.13
Richter 1976   87  0.3173  0.0087  0.0469  0.0467  0.0468  0.04
Rosen 1989   13  0.5540  0.0017  0.0920  0.4761  0.0528  0.15
Rosenthal 1930   72  0.3938  0.0074  0.0465  0.0471  0.0385  0.03
Rosenthal 1931   85  0.3361  0.0085  0.0379  0.0361  0.0481  0.03
Rosenthal 1931b   75  0.3757  0.0072  0.0472  0.0446  0.0661  0.05
Rosenthal 1931c   82  0.3588  0.0083  0.0387  0.0371  0.0389  0.03
Rosenthal 1931d   79  0.3676  0.0082  0.0383  0.0364  0.0488  0.03
Rossi 2007   47  0.4714  0.0245  0.0647  0.0632  0.2931  0.13
Rubinstein 1939   63  0.4377  0.0060  0.0558  0.0559  0.0466  0.04
Rubinstein 1952   35  0.4929  0.0020  0.0815  0.5033  0.307  0.39
Rubinstein 1966   24  0.5253  0.0031  0.0829  0.4056  0.0625  0.15
Schilhawsky 1960   48  0.4717  0.0159  0.0557  0.0581  0.0372  0.04
Shebanova 2002   7  0.5815  0.016  0.144  0.6278  0.0420  0.16
Smith 1975   46  0.4782  0.0051  0.0553  0.0553  0.0555  0.05
Sokolov 2002   44  0.4721  0.0136  0.0935  0.2749  0.0534  0.12
Sztompka 1959   4  0.608  0.044  0.121  0.6446  0.0812  0.23
Tomsic 1995   71  0.4089  0.0068  0.0468  0.0445  0.0952  0.06
Uninsky 1932   66  0.4262  0.0064  0.0473  0.0477  0.0473  0.04
Uninsky 1971   53  0.4656  0.0057  0.0549  0.0574  0.0469  0.04
Wasowski 1980   42  0.4768  0.0049  0.0556  0.0571  0.0463  0.04
Zak 1937   32  0.5050  0.0034  0.0832  0.3167  0.0536  0.12
Zak 1951   31  0.5054  0.0029  0.0728  0.4080  0.0432  0.13
Random 1   90  -0.1090  0.0090  0.0190  0.0167  0.0390  0.02
Random 2   88  -0.0367  0.0089  0.0289  0.0227  0.2449  0.07
Random 3   89  -0.0370  0.0088  0.0288  0.0213  0.3345  0.08

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).