Ferenczy 1958

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   11  0.5421  0.0121  0.0917  0.4146  0.0818  0.18
Anderszewski 2003   22  0.488  0.026  0.1310  0.4821  0.349  0.40
Ashkenazy 1981   43  0.3945  0.0030  0.0729  0.2752  0.0529  0.12
Bacha 2000   36  0.4328  0.0052  0.0653  0.0642  0.1436  0.09
Badura 1965   63  0.3136  0.0043  0.0542  0.1267  0.0442  0.07
Barbosa 1983   41  0.4168  0.0024  0.0925  0.3063  0.0430  0.11
Biret 1990   27  0.4650  0.0035  0.0527  0.2945  0.1316  0.19
Blet 2003   33  0.4481  0.0032  0.0624  0.3170  0.0431  0.11
Block 1995   48  0.3746  0.0060  0.0458  0.0473  0.0371  0.03
Blumental 1952   58  0.3316  0.0110  0.1226  0.3024  0.2614  0.28
Boshniakovich 1969   75  0.2682  0.0084  0.0377  0.0367  0.0373  0.03
Brailowsky 1960   29  0.4411  0.0251  0.0749  0.0748  0.0646  0.06
Bunin 1987   13  0.5319  0.0117  0.127  0.4848  0.0621  0.17
Bunin 1987b   12  0.5333  0.0018  0.158  0.4849  0.0620  0.17
Chiu 1999   82  0.1653  0.0085  0.0374  0.0388  0.0280  0.02
Cohen 1997   53  0.353  0.0925  0.0832  0.2127  0.3115  0.26
Cortot 1951   4  0.592  0.103  0.214  0.547  0.571  0.55
Csalog 1996   57  0.3474  0.0077  0.0368  0.0370  0.0468  0.03
Czerny 1949   7  0.5630  0.009  0.179  0.4821  0.483  0.48
Czerny 1990   39  0.4283  0.0041  0.0541  0.1371  0.0444  0.07
Duchoud 2007   40  0.4175  0.0038  0.0531  0.2250  0.0632  0.11
Ezaki 2006   2  0.619  0.027  0.163  0.5635  0.1513  0.29
Falvay 1989   23  0.486  0.0326  0.0830  0.2372  0.0433  0.10
Farrell 1958   25  0.4669  0.0039  0.0540  0.1452  0.0441  0.07
Ferenczy 1958   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fliere 1977   64  0.3176  0.0083  0.0464  0.0480  0.0360  0.03
Fou 1978   54  0.3525  0.0163  0.0366  0.0380  0.0364  0.03
Francois 1956   17  0.5126  0.0020  0.0919  0.3945  0.0917  0.19
Friedman 1923   89  0.0077  0.0089  0.0189  0.0174  0.0489  0.02
Friedman 1923b   88  0.0084  0.0090  0.0288  0.0277  0.0474  0.03
Friedman 1930   85  0.1359  0.0064  0.0373  0.0376  0.0369  0.03
Garcia 2007   81  0.2162  0.0073  0.0379  0.0375  0.0370  0.03
Garcia 2007b   86  0.1056  0.0076  0.0284  0.0269  0.0388  0.02
Gierzod 1998   30  0.4442  0.0044  0.0543  0.1179  0.0348  0.06
Gornostaeva 1994   32  0.4435  0.0054  0.0747  0.0771  0.0351  0.05
Groot 1988   26  0.4679  0.0049  0.0650  0.0686  0.0276  0.03
Harasiewicz 1955   60  0.3285  0.0034  0.0535  0.1780  0.0345  0.07
Hatto 1993   74  0.2651  0.0037  0.0737  0.1659  0.0440  0.08
Hatto 1997   42  0.4127  0.0011  0.1221  0.3828  0.2612  0.31
Horowitz 1949   77  0.2648  0.0070  0.0372  0.0387  0.0284  0.02
Indjic 1988   71  0.2857  0.0036  0.0536  0.1665  0.0439  0.08
Kapell 1951   1  0.671  0.401  0.392  0.5713  0.482  0.52
Kissin 1993   66  0.3149  0.0081  0.0283  0.0284  0.0385  0.02
Kushner 1989   49  0.3763  0.0068  0.0457  0.0489  0.0265  0.03
Luisada 1991   56  0.3554  0.0065  0.0459  0.0476  0.0359  0.03
Lushtak 2004   18  0.4914  0.0115  0.1315  0.4656  0.0523  0.15
Malcuzynski 1961   34  0.4343  0.0056  0.0554  0.0586  0.0266  0.03
Magaloff 1978   55  0.3564  0.0072  0.0375  0.0374  0.0361  0.03
Magin 1975   84  0.1486  0.0087  0.0190  0.0191  0.0190  0.01
Michalowski 1933   65  0.3171  0.0016  0.1118  0.4032  0.2911  0.34
Milkina 1970   28  0.447  0.0355  0.0748  0.0774  0.0449  0.05
Mohovich 1999   10  0.545  0.0519  0.1112  0.4751  0.0524  0.15
Moravec 1969   31  0.4417  0.0142  0.0538  0.1435  0.1425  0.14
Morozova 2008   45  0.3847  0.0045  0.0445  0.0886  0.0258  0.04
Neighaus 1950   44  0.3872  0.0053  0.0651  0.0676  0.0452  0.05
Niedzielski 1931   76  0.2687  0.0080  0.0381  0.0387  0.0281  0.02
Ohlsson 1999   38  0.4288  0.0046  0.0555  0.0569  0.0457  0.04
Osinska 1989   24  0.4713  0.0128  0.0728  0.2744  0.1119  0.17
Pachmann 1927   80  0.2260  0.0079  0.0371  0.0377  0.0367  0.03
Paderewski 1930   20  0.4855  0.0027  0.0823  0.3547  0.0626  0.14
Perlemuter 1992   46  0.3889  0.0047  0.0556  0.0575  0.0355  0.04
Pierdomenico 2008   73  0.2665  0.0074  0.0380  0.0377  0.0362  0.03
Poblocka 1999   3  0.6120  0.014  0.175  0.5215  0.396  0.45
Rabcewiczowa 1932   16  0.5223  0.0112  0.1214  0.4618  0.494  0.47
Rachmaninoff 1923   78  0.2639  0.0067  0.0460  0.0460  0.0456  0.04
Rangell 2001   51  0.3640  0.0071  0.0376  0.0386  0.0287  0.02
Richter 1976   47  0.3790  0.0050  0.0746  0.0784  0.0350  0.05
Rosen 1989   50  0.3638  0.0062  0.0370  0.0383  0.0372  0.03
Rosenthal 1930   35  0.4322  0.0133  0.0534  0.2045  0.0928  0.13
Rosenthal 1931   61  0.3218  0.0131  0.0644  0.1145  0.0935  0.10
Rosenthal 1931b   72  0.2732  0.0058  0.0461  0.0479  0.0377  0.03
Rosenthal 1931c   37  0.4341  0.0048  0.0652  0.0659  0.0453  0.05
Rosenthal 1931d   69  0.2937  0.0059  0.0463  0.0479  0.0375  0.03
Rossi 2007   83  0.1566  0.0066  0.0367  0.0375  0.0279  0.02
Rubinstein 1939   79  0.2515  0.0157  0.0462  0.0478  0.0363  0.03
Rubinstein 1952   59  0.3370  0.0078  0.0382  0.0380  0.0378  0.03
Rubinstein 1966   19  0.4924  0.0140  0.0539  0.1458  0.0637  0.09
Schilhawsky 1960   21  0.4858  0.0014  0.0916  0.4426  0.3210  0.38
Shebanova 2002   70  0.2991  0.0082  0.0365  0.0387  0.0286  0.02
Smith 1975   6  0.594  0.052  0.211  0.5820  0.375  0.46
Sokolov 2002   14  0.5344  0.0023  0.1120  0.3951  0.0622  0.15
Sztompka 1959   9  0.5573  0.008  0.1713  0.4626  0.367  0.41
Tomsic 1995   15  0.5312  0.0222  0.0822  0.3679  0.0334  0.10
Uninsky 1932   52  0.3667  0.0029  0.0633  0.2078  0.0438  0.09
Uninsky 1971   8  0.5510  0.025  0.156  0.4933  0.328  0.40
Wasowski 1980   67  0.3080  0.0069  0.0378  0.0356  0.0554  0.04
Zak 1937   68  0.3078  0.0075  0.0285  0.0283  0.0382  0.02
Zak 1951   62  0.3234  0.0061  0.0369  0.0387  0.0283  0.02
Average   5  0.5931  0.0013  0.1311  0.4876  0.0427  0.14
Random 1   91  -0.1261  0.0091  0.0191  0.0188  0.0291  0.01
Random 2   90  -0.0452  0.0088  0.0287  0.0232  0.2047  0.06
Random 3   87  0.0029  0.0086  0.0286  0.0229  0.2843  0.07

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).