Ferenczy 1958

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   26  0.5380  0.0029  0.0627  0.3567  0.0431  0.12
Anderszewski 2003   24  0.5340  0.0023  0.0928  0.3452  0.0430  0.12
Ashkenazy 1981   72  0.3968  0.0065  0.0370  0.0374  0.0383  0.03
Bacha 2000   60  0.4276  0.0041  0.0644  0.1167  0.0447  0.07
Badura 1965   36  0.507  0.0440  0.0939  0.2057  0.0537  0.10
Barbosa 1983   38  0.4926  0.0018  0.0819  0.4154  0.0524  0.14
Biret 1990   51  0.4677  0.0047  0.0746  0.0781  0.0354  0.05
Blet 2003   35  0.5132  0.0038  0.0734  0.2732  0.2011  0.23
Block 1995   30  0.522  0.144  0.1715  0.4941  0.1310  0.25
Blumental 1952   12  0.563  0.123  0.256  0.5724  0.284  0.40
Boshniakovich 1969   28  0.5265  0.0036  0.0835  0.2651  0.0632  0.12
Brailowsky 1960   14  0.554  0.0519  0.0823  0.3920  0.463  0.42
Bunin 1987   56  0.4446  0.0050  0.0551  0.0541  0.1938  0.10
Bunin 1987b   58  0.4343  0.0052  0.0455  0.0440  0.1745  0.08
Chiu 1999   32  0.5116  0.0122  0.0826  0.3638  0.1412  0.22
Cohen 1997   82  0.3655  0.0066  0.0384  0.0343  0.1053  0.05
Cortot 1951   64  0.4183  0.0064  0.0364  0.0347  0.0662  0.04
Csalog 1996   4  0.611  0.351  0.351  0.753  0.651  0.70
Czerny 1949   46  0.4751  0.0059  0.0452  0.0483  0.0380  0.03
Czerny 1990   16  0.5539  0.0025  0.0931  0.3482  0.0339  0.10
Duchoud 2007   87  0.2572  0.0086  0.0385  0.0386  0.0288  0.02
Ezaki 2006   20  0.5458  0.0037  0.0740  0.1768  0.0443  0.08
Falvay 1989   15  0.5510  0.0120  0.0921  0.4042  0.169  0.25
Farrell 1958   81  0.3663  0.0081  0.0380  0.0387  0.0372  0.03
Ferenczy 1958   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fliere 1977   1  0.6211  0.018  0.113  0.6148  0.0713  0.21
Fou 1978   25  0.5325  0.0030  0.0532  0.3172  0.0433  0.11
Francois 1956   78  0.3747  0.0083  0.0377  0.0378  0.0386  0.03
Friedman 1923   47  0.4660  0.0045  0.0845  0.0869  0.0548  0.06
Friedman 1923b   49  0.4659  0.0044  0.0842  0.1558  0.0541  0.09
Friedman 1930   43  0.4828  0.0046  0.0747  0.0770  0.0451  0.05
Garcia 2007   61  0.4261  0.0062  0.0374  0.0384  0.0381  0.03
Garcia 2007b   42  0.4869  0.0031  0.0730  0.3442  0.1018  0.18
Gierzod 1998   19  0.5452  0.0027  0.0625  0.3782  0.0335  0.11
Gornostaeva 1994   22  0.5470  0.0021  0.0822  0.3946  0.0527  0.14
Groot 1988   48  0.4618  0.0142  0.0741  0.1659  0.0542  0.09
Harasiewicz 1955   5  0.6015  0.0116  0.119  0.5351  0.0521  0.16
Hatto 1993   13  0.556  0.055  0.1412  0.5046  0.0717  0.19
Hatto 1997   9  0.5634  0.0011  0.1013  0.5050  0.0620  0.17
Horowitz 1949   62  0.4231  0.0060  0.0458  0.0455  0.0649  0.05
Indjic 1988   10  0.5614  0.0112  0.1514  0.5047  0.0619  0.17
Kapell 1951   17  0.5527  0.0010  0.105  0.5764  0.0422  0.15
Kissin 1993   44  0.4873  0.0056  0.0366  0.0378  0.0378  0.03
Kushner 1989   45  0.4786  0.0057  0.0461  0.0469  0.0456  0.04
Luisada 1991   7  0.588  0.0313  0.1310  0.5236  0.186  0.31
Lushtak 2004   37  0.5033  0.0043  0.0743  0.1568  0.0446  0.08
Malcuzynski 1961   69  0.4029  0.0054  0.0462  0.0481  0.0373  0.03
Magaloff 1978   67  0.4081  0.0074  0.0379  0.0380  0.0366  0.03
Magin 1975   52  0.4644  0.0058  0.0459  0.0478  0.0370  0.03
Michalowski 1933   77  0.3784  0.0055  0.0367  0.0367  0.0477  0.03
Milkina 1970   53  0.4590  0.0071  0.0456  0.0477  0.0457  0.04
Mohovich 1999   27  0.5387  0.0028  0.0820  0.4054  0.0526  0.14
Moravec 1969   50  0.4617  0.0149  0.0549  0.0541  0.1444  0.08
Morozova 2008   65  0.4113  0.0182  0.0381  0.0386  0.0287  0.02
Neighaus 1950   41  0.4853  0.0039  0.0937  0.2665  0.0440  0.10
Niedzielski 1931   34  0.5120  0.0017  0.1017  0.4432  0.218  0.30
Ohlsson 1999   68  0.4088  0.0063  0.0378  0.0383  0.0376  0.03
Osinska 1989   2  0.6112  0.019  0.108  0.5547  0.0814  0.21
Pachmann 1927   74  0.3854  0.0087  0.0457  0.0482  0.0275  0.03
Paderewski 1930   76  0.3778  0.0070  0.0454  0.0446  0.0559  0.04
Perlemuter 1992   33  0.5119  0.0034  0.0633  0.2741  0.1516  0.20
Pierdomenico 2008   85  0.3150  0.0084  0.0287  0.0275  0.0468  0.03
Poblocka 1999   3  0.615  0.052  0.192  0.6430  0.412  0.51
Rabcewiczowa 1932   55  0.4435  0.0051  0.0460  0.0484  0.0371  0.03
Rachmaninoff 1923   66  0.4145  0.0077  0.0383  0.0384  0.0367  0.03
Rangell 2001   86  0.2964  0.0085  0.0371  0.0350  0.0561  0.04
Richter 1976   54  0.4556  0.0061  0.0373  0.0377  0.0474  0.03
Rosen 1989   8  0.5730  0.007  0.114  0.5738  0.177  0.31
Rosenthal 1930   63  0.4237  0.0072  0.0365  0.0363  0.0382  0.03
Rosenthal 1931   83  0.3562  0.0079  0.0286  0.0264  0.0479  0.03
Rosenthal 1931b   84  0.3571  0.0080  0.0372  0.0357  0.0563  0.04
Rosenthal 1931c   80  0.3648  0.0073  0.0375  0.0372  0.0385  0.03
Rosenthal 1931d   79  0.3757  0.0076  0.0369  0.0363  0.0484  0.03
Rossi 2007   59  0.4238  0.0069  0.0376  0.0352  0.0655  0.04
Rubinstein 1939   73  0.3974  0.0078  0.0368  0.0386  0.0369  0.03
Rubinstein 1952   71  0.3975  0.0068  0.0550  0.0579  0.0364  0.04
Rubinstein 1966   57  0.4389  0.0067  0.0382  0.0364  0.0560  0.04
Schilhawsky 1960   39  0.4966  0.0048  0.0648  0.0658  0.0450  0.05
Shebanova 2002   21  0.5482  0.0014  0.1216  0.4476  0.0428  0.13
Smith 1975   18  0.5423  0.0024  0.0918  0.4254  0.0523  0.14
Sokolov 2002   75  0.3779  0.0053  0.0453  0.0482  0.0365  0.03
Sztompka 1959   40  0.4821  0.0035  0.0638  0.2578  0.0436  0.10
Tomsic 1995   70  0.3949  0.0075  0.0463  0.0468  0.0558  0.04
Uninsky 1932   29  0.5241  0.0032  0.0929  0.3447  0.0625  0.14
Uninsky 1971   6  0.5922  0.006  0.107  0.5534  0.265  0.38
Wasowski 1980   11  0.569  0.0315  0.1211  0.5246  0.0815  0.20
Zak 1937   23  0.5424  0.0026  0.1224  0.3973  0.0429  0.12
Zak 1951   31  0.5236  0.0033  0.0836  0.2667  0.0534  0.11
Random 1   88  -0.1067  0.0088  0.0288  0.0235  0.1552  0.05
Random 2   89  -0.1285  0.0090  0.0190  0.0185  0.0290  0.01
Random 3   90  -0.1442  0.0089  0.0189  0.0158  0.0489  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).