Magaloff 1978

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   26  0.6216  0.0137  0.0533  0.2246  0.0637  0.11
Anderszewski 2003   33  0.6263  0.0051  0.0650  0.0678  0.0370  0.04
Ashkenazy 1981   59  0.5282  0.0066  0.0567  0.0576  0.0376  0.04
Bacha 2000   31  0.6217  0.0128  0.0632  0.2243  0.0831  0.13
Badura 1965   80  0.4185  0.0082  0.0382  0.0361  0.0574  0.04
Barbosa 1983   60  0.5137  0.0044  0.0842  0.1648  0.0642  0.10
Biret 1990   9  0.6941  0.0020  0.0724  0.2849  0.0534  0.12
Blet 2003   61  0.5159  0.0071  0.0469  0.0476  0.0381  0.03
Block 1995   79  0.4181  0.0060  0.0559  0.0580  0.0375  0.04
Blumental 1952   15  0.6620  0.0121  0.0917  0.3660  0.0433  0.12
Boshniakovich 1969   64  0.5148  0.0056  0.0558  0.0557  0.0556  0.05
Brailowsky 1960   4  0.7119  0.0113  0.0715  0.3712  0.405  0.38
Bunin 1987   85  0.2971  0.0086  0.0385  0.0366  0.0486  0.03
Bunin 1987b   86  0.2755  0.0085  0.0383  0.0363  0.0563  0.04
Chiu 1999   53  0.5529  0.0148  0.0846  0.0858  0.0449  0.06
Cohen 1997   76  0.4362  0.0074  0.0477  0.0436  0.2143  0.09
Cortot 1951   67  0.5074  0.0076  0.0386  0.0378  0.0387  0.03
Csalog 1996   81  0.3872  0.0075  0.0474  0.0445  0.0569  0.04
Czerny 1949   49  0.5683  0.0059  0.0654  0.0656  0.0555  0.05
Czerny 1990   7  0.702  0.072  0.183  0.5140  0.1220  0.25
Duchoud 2007   83  0.3560  0.0084  0.0384  0.0370  0.0385  0.03
Ezaki 2006   19  0.6451  0.0042  0.0639  0.1765  0.0444  0.08
Falvay 1989   6  0.709  0.028  0.107  0.437  0.542  0.48
Farrell 1958   3  0.721  0.321  0.321  0.6510  0.501  0.57
Ferenczy 1958   75  0.4364  0.0079  0.0478  0.0479  0.0383  0.03
Fliere 1977   20  0.633  0.076  0.0821  0.3062  0.0435  0.11
Fou 1978   43  0.5931  0.0143  0.0740  0.1770  0.0446  0.08
Francois 1956   10  0.6843  0.009  0.0910  0.4023  0.329  0.36
Friedman 1923   54  0.5579  0.0054  0.0557  0.0561  0.0559  0.05
Friedman 1923b   55  0.5577  0.0052  0.0561  0.0565  0.0557  0.05
Friedman 1930   40  0.5927  0.0149  0.0945  0.0962  0.0548  0.07
Garcia 2007   46  0.5750  0.0061  0.0565  0.0566  0.0473  0.04
Garcia 2007b   56  0.5546  0.0062  0.0473  0.0468  0.0478  0.04
Gierzod 1998   11  0.6812  0.0215  0.078  0.4252  0.0529  0.14
Gornostaeva 1994   12  0.6734  0.0016  0.069  0.4222  0.2316  0.31
Groot 1988   35  0.616  0.0322  0.0916  0.3723  0.3410  0.35
Harasiewicz 1955   68  0.4956  0.0072  0.0476  0.0483  0.0388  0.03
Hatto 1993   69  0.4928  0.0169  0.0653  0.0665  0.0458  0.05
Hatto 1997   63  0.5184  0.0070  0.0560  0.0568  0.0471  0.04
Horowitz 1949   73  0.4589  0.0080  0.0480  0.0473  0.0464  0.04
Indjic 1988   62  0.5152  0.0068  0.0475  0.0465  0.0468  0.04
Kapell 1951   58  0.5257  0.0063  0.0564  0.0581  0.0362  0.04
Kissin 1993   27  0.6215  0.0127  0.0619  0.3363  0.0436  0.11
Kushner 1989   21  0.6387  0.0047  0.0749  0.0765  0.0452  0.05
Luisada 1991   22  0.6323  0.0118  0.0714  0.3763  0.0527  0.14
Lushtak 2004   24  0.6242  0.0025  0.0723  0.2843  0.1025  0.17
Malcuzynski 1961   70  0.4844  0.0053  0.0566  0.0547  0.0653  0.05
Magaloff 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magin 1975   66  0.5058  0.0064  0.0651  0.0684  0.0361  0.04
Michalowski 1933   77  0.4367  0.0081  0.0387  0.0360  0.0566  0.04
Milkina 1970   5  0.7145  0.0014  0.095  0.4444  0.1221  0.23
Mohovich 1999   13  0.6678  0.0023  0.0625  0.2750  0.0730  0.14
Moravec 1969   41  0.5938  0.0040  0.0543  0.1617  0.4618  0.27
Morozova 2008   65  0.5080  0.0065  0.0555  0.0552  0.0554  0.05
Neighaus 1950   37  0.6124  0.0150  0.0748  0.0750  0.0651  0.06
Niedzielski 1931   47  0.5725  0.0111  0.0730  0.2364  0.0439  0.10
Ohlsson 1999   48  0.5633  0.0057  0.0562  0.0572  0.0465  0.04
Osinska 1989   1  0.7411  0.024  0.152  0.5434  0.2111  0.34
Pachmann 1927   51  0.5565  0.0067  0.0472  0.0438  0.1347  0.07
Paderewski 1930   29  0.6268  0.0026  0.0634  0.2230  0.2222  0.22
Perlemuter 1992   44  0.5875  0.0036  0.0638  0.1768  0.0445  0.08
Pierdomenico 2008   71  0.465  0.047  0.0841  0.1736  0.2024  0.18
Poblocka 1999   78  0.4373  0.0078  0.0468  0.0486  0.0279  0.03
Rabcewiczowa 1932   8  0.6913  0.0217  0.0613  0.3928  0.2317  0.30
Rachmaninoff 1923   2  0.737  0.033  0.114  0.5021  0.314  0.39
Rangell 2001   82  0.3739  0.0055  0.0563  0.0574  0.0377  0.04
Richter 1976   87  0.2490  0.0087  0.0479  0.0473  0.0380  0.03
Rosen 1989   36  0.6149  0.0041  0.0536  0.2146  0.0638  0.11
Rosenthal 1930   42  0.5910  0.0231  0.0537  0.1923  0.2523  0.22
Rosenthal 1931   39  0.6036  0.0035  0.0635  0.2113  0.4515  0.31
Rosenthal 1931b   30  0.6222  0.0134  0.0531  0.2313  0.4813  0.33
Rosenthal 1931c   32  0.6232  0.0124  0.0622  0.2913  0.468  0.37
Rosenthal 1931d   34  0.6161  0.0033  0.0628  0.2413  0.4812  0.34
Rossi 2007   28  0.624  0.075  0.0920  0.3312  0.446  0.38
Rubinstein 1939   17  0.6626  0.0119  0.0811  0.3916  0.367  0.37
Rubinstein 1952   45  0.5814  0.0110  0.086  0.4326  0.383  0.40
Rubinstein 1966   16  0.6653  0.0029  0.0629  0.2430  0.2919  0.26
Schilhawsky 1960   72  0.4576  0.0073  0.0381  0.0374  0.0482  0.03
Shebanova 2002   18  0.6521  0.0130  0.0518  0.3355  0.0532  0.13
Smith 1975   14  0.668  0.0312  0.0712  0.3920  0.2714  0.32
Sokolov 2002   52  0.5540  0.0032  0.0544  0.1641  0.1228  0.14
Sztompka 1959   25  0.6269  0.0045  0.0847  0.0856  0.0550  0.06
Tomsic 1995   57  0.5454  0.0046  0.0652  0.0620  0.4326  0.16
Uninsky 1932   74  0.4430  0.0177  0.0471  0.0484  0.0384  0.03
Uninsky 1971   84  0.3470  0.0083  0.0470  0.0462  0.0567  0.04
Wasowski 1980   50  0.5566  0.0058  0.0556  0.0580  0.0460  0.04
Zak 1937   23  0.6335  0.0039  0.0627  0.2470  0.0440  0.10
Zak 1951   38  0.6118  0.0138  0.0526  0.2569  0.0441  0.10
Random 1   89  -0.2386  0.0089  0.0289  0.0263  0.0389  0.02
Random 2   88  -0.0847  0.0088  0.0288  0.0239  0.1072  0.04
Random 3   90  -0.2588  0.0090  0.0190  0.0174  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).