Ferenczy 1958

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   19  0.6244  0.0031  0.0726  0.3045  0.0731  0.14
Anderszewski 2003   30  0.557  0.0210  0.1216  0.4034  0.1818  0.27
Ashkenazy 1981   33  0.5556  0.0025  0.0920  0.3835  0.1621  0.25
Bacha 2000   45  0.4835  0.0068  0.0369  0.0353  0.0550  0.04
Badura 1965   68  0.3743  0.0048  0.0547  0.0565  0.0455  0.04
Barbosa 1983   35  0.5471  0.0026  0.0833  0.2634  0.2519  0.25
Biret 1990   20  0.6259  0.0030  0.0621  0.3842  0.1224  0.21
Blet 2003   5  0.6975  0.0018  0.0914  0.4125  0.2513  0.32
Block 1995   56  0.4257  0.0067  0.0370  0.0376  0.0372  0.03
Blumental 1952   69  0.3729  0.0012  0.0931  0.2619  0.2420  0.25
Boshniakovich 1969   67  0.3883  0.0085  0.0284  0.0286  0.0284  0.02
Brailowsky 1960   51  0.469  0.0263  0.0365  0.0364  0.0461  0.03
Bunin 1987   10  0.6616  0.0115  0.087  0.4929  0.2711  0.36
Bunin 1987b   11  0.6640  0.0017  0.088  0.4931  0.2710  0.36
Chiu 1999   84  0.2078  0.0086  0.0282  0.0283  0.0375  0.02
Cohen 1997   71  0.3613  0.0146  0.0455  0.0448  0.0556  0.04
Cortot 1951   4  0.713  0.074  0.296  0.515  0.504  0.50
Csalog 1996   50  0.4723  0.0161  0.0366  0.0348  0.0651  0.04
Czerny 1949   21  0.6153  0.0020  0.1018  0.4037  0.1916  0.28
Czerny 1990   16  0.6332  0.0022  0.0919  0.3840  0.1125  0.20
Duchoud 2007   18  0.6284  0.0024  0.0917  0.4037  0.1917  0.28
Ezaki 2006   7  0.688  0.0216  0.0811  0.4445  0.0628  0.16
Falvay 1989   31  0.5521  0.0143  0.0443  0.0966  0.0444  0.06
Farrell 1958   27  0.5926  0.0140  0.0539  0.1653  0.0438  0.08
Ferenczy 1958   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fliere 1977   37  0.5290  0.0058  0.0456  0.0475  0.0360  0.03
Fou 1978   70  0.3628  0.0082  0.0283  0.0283  0.0277  0.02
Francois 1956   28  0.5824  0.0134  0.1034  0.2452  0.0533  0.11
Friedman 1923   88  0.0770  0.0050  0.0452  0.0444  0.1143  0.07
Friedman 1923b   87  0.0854  0.0049  0.0549  0.0544  0.1142  0.07
Friedman 1930   79  0.2850  0.0036  0.0638  0.1755  0.0537  0.09
Garcia 2007   65  0.4030  0.0051  0.0645  0.0644  0.1139  0.08
Garcia 2007b   85  0.1658  0.0054  0.0458  0.0455  0.0458  0.04
Gierzod 1998   32  0.5566  0.0042  0.0440  0.1265  0.0345  0.06
Gornostaeva 1994   43  0.4927  0.0066  0.0368  0.0381  0.0285  0.02
Groot 1988   23  0.6122  0.0129  0.0635  0.2365  0.0340  0.08
Harasiewicz 1955   73  0.3534  0.0041  0.0442  0.1077  0.0349  0.05
Hatto 1993   72  0.3549  0.0038  0.0937  0.1833  0.1627  0.17
Hatto 1997   47  0.4825  0.0113  0.1025  0.3125  0.2815  0.29
Horowitz 1949   76  0.3136  0.0078  0.0280  0.0278  0.0379  0.02
Indjic 1988   66  0.3976  0.0037  0.0636  0.1831  0.1626  0.17
Kapell 1951   1  0.851  0.481  0.471  0.654  0.552  0.60
Kissin 1993   59  0.4179  0.0079  0.0288  0.0277  0.0381  0.02
Kushner 1989   41  0.5085  0.0071  0.0454  0.0478  0.0367  0.03
Luisada 1991   49  0.4752  0.0056  0.0450  0.0479  0.0359  0.03
Lushtak 2004   15  0.6445  0.0011  0.1610  0.4549  0.0629  0.16
Malcuzynski 1961   36  0.5386  0.0070  0.0364  0.0378  0.0369  0.03
Magaloff 1978   54  0.4565  0.0075  0.0376  0.0380  0.0363  0.03
Magin 1975   81  0.2573  0.0088  0.0285  0.0289  0.0189  0.01
Michalowski 1933   53  0.4619  0.018  0.1512  0.4415  0.436  0.43
Milkina 1970   46  0.4848  0.0076  0.0281  0.0282  0.0378  0.02
Mohovich 1999   13  0.6410  0.0127  0.0724  0.3372  0.0334  0.10
Moravec 1969   38  0.5218  0.0147  0.0459  0.0437  0.1341  0.07
Morozova 2008   52  0.4646  0.0045  0.0548  0.0573  0.0353  0.04
Neighaus 1950   44  0.4961  0.0052  0.0546  0.0578  0.0357  0.04
Niedzielski 1931   62  0.4072  0.0065  0.0373  0.0377  0.0276  0.02
Ohlsson 1999   26  0.5969  0.0035  0.0730  0.2770  0.0336  0.09
Osinska 1989   24  0.6011  0.0132  0.1029  0.2836  0.1623  0.21
Pachmann 1927   75  0.3288  0.0080  0.0287  0.0280  0.0380  0.02
Paderewski 1930   8  0.6787  0.0021  0.1323  0.3610  0.399  0.37
Perlemuter 1992   34  0.5463  0.0033  0.0732  0.2664  0.0335  0.09
Pierdomenico 2008   64  0.4089  0.0073  0.0367  0.0374  0.0365  0.03
Poblocka 1999   2  0.814  0.042  0.312  0.643  0.571  0.60
Rabcewiczowa 1932   22  0.6131  0.0019  0.0815  0.4121  0.358  0.38
Rachmaninoff 1923   74  0.3541  0.0059  0.0451  0.0482  0.0364  0.03
Rangell 2001   57  0.4280  0.0084  0.0374  0.0384  0.0286  0.02
Richter 1976   25  0.592  0.075  0.1813  0.4124  0.2114  0.29
Rosen 1989   58  0.4277  0.0077  0.0279  0.0275  0.0383  0.02
Rosenthal 1930   39  0.5237  0.0044  0.0444  0.0877  0.0347  0.05
Rosenthal 1931   78  0.3138  0.0060  0.0462  0.0482  0.0271  0.03
Rosenthal 1931b   82  0.2462  0.0083  0.0377  0.0386  0.0288  0.02
Rosenthal 1931c   42  0.4933  0.0053  0.0460  0.0472  0.0373  0.03
Rosenthal 1931d   77  0.3147  0.0081  0.0286  0.0286  0.0287  0.02
Rossi 2007   83  0.2039  0.0055  0.0457  0.0473  0.0362  0.03
Rubinstein 1939   80  0.2614  0.0162  0.0371  0.0364  0.0466  0.03
Rubinstein 1952   63  0.4060  0.0064  0.0363  0.0367  0.0374  0.03
Rubinstein 1966   29  0.5612  0.0157  0.0453  0.0464  0.0452  0.04
Schilhawsky 1960   9  0.6674  0.007  0.175  0.5213  0.385  0.44
Shebanova 2002   55  0.4564  0.0072  0.0461  0.0468  0.0454  0.04
Smith 1975   6  0.685  0.036  0.194  0.5635  0.1912  0.33
Sokolov 2002   12  0.6555  0.0023  0.0922  0.3749  0.0530  0.14
Sztompka 1959   3  0.776  0.023  0.233  0.6011  0.463  0.53
Tomsic 1995   14  0.6417  0.0128  0.0728  0.2849  0.0432  0.11
Uninsky 1932   48  0.4767  0.0014  0.0927  0.3035  0.2022  0.24
Uninsky 1971   17  0.6320  0.019  0.169  0.4826  0.367  0.42
Wasowski 1980   40  0.5151  0.0039  0.0541  0.1076  0.0346  0.05
Zak 1937   61  0.4081  0.0074  0.0372  0.0380  0.0368  0.03
Zak 1951   60  0.4115  0.0169  0.0375  0.0381  0.0370  0.03
Random 1   90  -0.2168  0.0090  0.0190  0.0184  0.0290  0.01
Random 2   89  -0.1782  0.0089  0.0289  0.0261  0.0382  0.02
Random 3   86  0.0842  0.0087  0.0278  0.0239  0.1248  0.05

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).