Ferenczy 1958

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.6529  0.0017  0.0715  0.3243  0.1022  0.18
Anderszewski 2003   22  0.5925  0.0014  0.0913  0.3639  0.0921  0.18
Ashkenazy 1981   47  0.5240  0.0032  0.0631  0.2042  0.1126  0.15
Bacha 2000   36  0.5450  0.0040  0.0441  0.0833  0.1834  0.12
Badura 1965   62  0.4919  0.0144  0.0445  0.0766  0.0450  0.05
Barbosa 1983   44  0.5312  0.0130  0.0729  0.2122  0.2817  0.24
Biret 1990   25  0.5872  0.0033  0.0727  0.2242  0.1324  0.17
Blet 2003   4  0.6842  0.0013  0.0911  0.3722  0.319  0.34
Block 1995   57  0.5065  0.0069  0.0459  0.0461  0.0464  0.04
Blumental 1952   63  0.4935  0.009  0.1322  0.2816  0.2815  0.28
Boshniakovich 1969   55  0.5168  0.0076  0.0382  0.0382  0.0287  0.02
Brailowsky 1960   43  0.5411  0.0168  0.0470  0.0477  0.0454  0.04
Bunin 1987   24  0.5914  0.0128  0.0717  0.3227  0.3212  0.32
Bunin 1987b   26  0.5816  0.0129  0.0918  0.3128  0.3311  0.32
Chiu 1999   77  0.4045  0.0075  0.0385  0.0378  0.0371  0.03
Cohen 1997   75  0.4010  0.0139  0.0538  0.1126  0.2127  0.15
Cortot 1951   6  0.6630  0.007  0.116  0.4510  0.465  0.45
Csalog 1996   37  0.549  0.0235  0.0528  0.2216  0.4014  0.30
Czerny 1949   17  0.6137  0.0022  0.0614  0.3536  0.1718  0.24
Czerny 1990   12  0.6333  0.0025  0.0625  0.2655  0.0536  0.11
Duchoud 2007   61  0.4973  0.0059  0.0460  0.0451  0.0563  0.04
Ezaki 2006   8  0.665  0.0316  0.109  0.4070  0.0431  0.13
Falvay 1989   51  0.5120  0.0143  0.0444  0.0770  0.0445  0.05
Farrell 1958   48  0.5269  0.0063  0.0465  0.0485  0.0374  0.03
Ferenczy 1958   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fliere 1977   18  0.6184  0.0047  0.0457  0.0485  0.0370  0.03
Fou 1978   65  0.4879  0.0073  0.0384  0.0374  0.0475  0.03
Francois 1956   23  0.5915  0.0138  0.0637  0.1238  0.1533  0.13
Friedman 1923   82  0.3566  0.0055  0.0554  0.0543  0.1441  0.08
Friedman 1923b   84  0.3576  0.0054  0.0556  0.0543  0.1240  0.08
Friedman 1930   68  0.4558  0.0049  0.0646  0.0640  0.1538  0.09
Garcia 2007   60  0.5063  0.0051  0.0649  0.0660  0.0449  0.05
Garcia 2007b   73  0.4117  0.0131  0.0634  0.1632  0.1428  0.15
Gierzod 1998   27  0.5771  0.0048  0.0648  0.0660  0.0448  0.05
Gornostaeva 1994   38  0.5424  0.0165  0.0471  0.0485  0.0281  0.03
Groot 1988   31  0.5536  0.0057  0.0555  0.0552  0.0468  0.04
Harasiewicz 1955   49  0.5222  0.0137  0.0735  0.1485  0.0251  0.05
Hatto 1993   66  0.4880  0.0021  0.0833  0.2055  0.0537  0.10
Hatto 1997   33  0.5518  0.0111  0.1319  0.3035  0.1420  0.20
Horowitz 1949   72  0.4241  0.0081  0.0373  0.0374  0.0377  0.03
Indjic 1988   53  0.5174  0.0020  0.0730  0.2144  0.0930  0.14
Kapell 1951   1  0.781  0.561  0.561  0.734  0.501  0.60
Kissin 1993   59  0.5077  0.0077  0.0383  0.0380  0.0379  0.03
Kushner 1989   34  0.5557  0.0060  0.0553  0.0572  0.0357  0.04
Luisada 1991   28  0.5721  0.0145  0.0374  0.0350  0.0553  0.04
Lushtak 2004   16  0.6246  0.0015  0.1112  0.3659  0.0532  0.13
Malcuzynski 1961   67  0.4856  0.0079  0.0472  0.0479  0.0376  0.03
Magaloff 1978   69  0.4475  0.0080  0.0466  0.0478  0.0372  0.03
Magin 1975   78  0.3985  0.0082  0.0386  0.0374  0.0373  0.03
Michalowski 1933   45  0.5382  0.0010  0.1310  0.4014  0.426  0.41
Milkina 1970   46  0.5226  0.0078  0.0463  0.0452  0.0559  0.04
Mohovich 1999   14  0.638  0.0227  0.0826  0.2351  0.0535  0.11
Moravec 1969   52  0.5123  0.0162  0.0552  0.0544  0.1439  0.08
Morozova 2008   58  0.5060  0.0058  0.0375  0.0384  0.0286  0.02
Neighaus 1950   29  0.5687  0.0034  0.0639  0.1169  0.0443  0.07
Niedzielski 1931   42  0.5459  0.0046  0.0458  0.0445  0.0556  0.04
Ohlsson 1999   39  0.5461  0.0050  0.0743  0.0769  0.0446  0.05
Osinska 1989   11  0.6434  0.0024  0.0723  0.2743  0.0925  0.16
Pachmann 1927   70  0.4353  0.0085  0.0377  0.0383  0.0378  0.03
Paderewski 1930   10  0.6470  0.0019  0.0721  0.2915  0.3313  0.31
Perlemuter 1992   15  0.6254  0.0023  0.0816  0.3247  0.0629  0.14
Pierdomenico 2008   83  0.3549  0.0083  0.0379  0.0383  0.0284  0.02
Poblocka 1999   2  0.752  0.062  0.342  0.6810  0.472  0.57
Rabcewiczowa 1932   20  0.6038  0.0026  0.1024  0.2728  0.2616  0.26
Rachmaninoff 1923   74  0.4143  0.0074  0.0380  0.0386  0.0283  0.02
Rangell 2001   81  0.3655  0.0084  0.0467  0.0456  0.0467  0.04
Richter 1976   32  0.554  0.036  0.1432  0.2036  0.1523  0.17
Rosen 1989   35  0.5531  0.0052  0.0550  0.0561  0.0465  0.04
Rosenthal 1930   64  0.4864  0.0064  0.0376  0.0358  0.0480  0.03
Rosenthal 1931   85  0.3362  0.0071  0.0378  0.0383  0.0285  0.02
Rosenthal 1931b   87  0.3083  0.0087  0.0468  0.0470  0.0469  0.04
Rosenthal 1931c   71  0.4248  0.0070  0.0469  0.0483  0.0282  0.03
Rosenthal 1931d   86  0.3381  0.0086  0.0288  0.0284  0.0288  0.02
Rossi 2007   79  0.3778  0.0072  0.0381  0.0356  0.0555  0.04
Rubinstein 1939   80  0.3751  0.0041  0.0440  0.0865  0.0444  0.06
Rubinstein 1952   76  0.4032  0.0042  0.0442  0.0883  0.0352  0.05
Rubinstein 1966   54  0.5147  0.0067  0.0464  0.0475  0.0462  0.04
Schilhawsky 1960   13  0.6352  0.0012  0.147  0.4434  0.298  0.36
Shebanova 2002   30  0.5686  0.0053  0.0647  0.0661  0.0547  0.05
Smith 1975   5  0.676  0.034  0.173  0.5828  0.257  0.38
Sokolov 2002   41  0.5439  0.0036  0.0636  0.1461  0.0442  0.07
Sztompka 1959   3  0.697  0.023  0.195  0.5018  0.404  0.45
Tomsic 1995   40  0.5428  0.0066  0.0462  0.0460  0.0461  0.04
Uninsky 1932   21  0.5913  0.018  0.128  0.4129  0.2910  0.34
Uninsky 1971   7  0.663  0.035  0.184  0.5217  0.403  0.46
Wasowski 1980   19  0.6027  0.0018  0.0720  0.3033  0.1319  0.20
Zak 1937   50  0.5290  0.0061  0.0551  0.0575  0.0458  0.04
Zak 1951   56  0.5088  0.0056  0.0461  0.0469  0.0460  0.04
Random 1   89  -0.1989  0.0090  0.0190  0.0179  0.0290  0.01
Random 2   90  -0.2167  0.0089  0.0189  0.0180  0.0289  0.01
Random 3   88  -0.0344  0.0088  0.0287  0.0244  0.0866  0.04

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).