Ferenczy 1958

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.5421  0.0120  0.0916  0.4145  0.0818  0.18
Anderszewski 2003   21  0.488  0.026  0.1310  0.4820  0.349  0.40
Ashkenazy 1981   42  0.3944  0.0029  0.0728  0.2751  0.0528  0.12
Bacha 2000   35  0.4326  0.0051  0.0652  0.0641  0.1435  0.09
Badura 1965   62  0.3135  0.0042  0.0541  0.1266  0.0441  0.07
Barbosa 1983   40  0.4167  0.0023  0.0924  0.3062  0.0429  0.11
Biret 1990   26  0.4649  0.0034  0.0626  0.2944  0.1316  0.19
Blet 2003   32  0.4480  0.0031  0.0623  0.3169  0.0430  0.11
Block 1995   47  0.3746  0.0059  0.0457  0.0472  0.0372  0.03
Blumental 1952   57  0.3316  0.0110  0.1225  0.3023  0.2614  0.28
Boshniakovich 1969   74  0.2681  0.0083  0.0376  0.0366  0.0374  0.03
Brailowsky 1960   28  0.4411  0.0250  0.0748  0.0747  0.0645  0.06
Bunin 1987   12  0.5319  0.0116  0.127  0.4847  0.0621  0.17
Bunin 1987b   11  0.5332  0.0017  0.158  0.4848  0.0620  0.17
Chiu 1999   81  0.1652  0.0084  0.0373  0.0387  0.0279  0.02
Cohen 1997   52  0.353  0.0924  0.0831  0.2126  0.3115  0.26
Cortot 1951   4  0.592  0.103  0.214  0.546  0.571  0.55
Csalog 1996   56  0.3473  0.0076  0.0367  0.0369  0.0469  0.03
Czerny 1949   6  0.5630  0.009  0.189  0.4820  0.483  0.48
Czerny 1990   38  0.4282  0.0040  0.0540  0.1370  0.0443  0.07
Duchoud 2007   39  0.4174  0.0037  0.0530  0.2249  0.0631  0.11
Ezaki 2006   2  0.619  0.027  0.163  0.5634  0.1513  0.29
Falvay 1989   22  0.486  0.0325  0.0829  0.2371  0.0432  0.10
Farrell 1958   24  0.4668  0.0038  0.0539  0.1451  0.0440  0.07
Ferenczy 1958   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fliere 1977   63  0.3175  0.0082  0.0463  0.0479  0.0361  0.03
Fou 1978   53  0.3525  0.0162  0.0365  0.0379  0.0366  0.03
Francois 1956   16  0.5127  0.0019  0.1018  0.3944  0.0917  0.19
Friedman 1923   88  0.0076  0.0088  0.0188  0.0173  0.0488  0.02
Friedman 1923b   87  0.0083  0.0089  0.0287  0.0276  0.0475  0.03
Friedman 1930   84  0.1358  0.0063  0.0372  0.0375  0.0370  0.03
Garcia 2007   80  0.2161  0.0072  0.0378  0.0374  0.0371  0.03
Garcia 2007b   85  0.1055  0.0075  0.0283  0.0268  0.0387  0.02
Gierzod 1998   29  0.4441  0.0043  0.0542  0.1178  0.0347  0.06
Gornostaeva 1994   31  0.4434  0.0053  0.0746  0.0770  0.0350  0.05
Groot 1988   25  0.4678  0.0048  0.0749  0.0785  0.0259  0.04
Harasiewicz 1955   59  0.3284  0.0033  0.0534  0.1779  0.0344  0.07
Hatto 1993   73  0.2650  0.0036  0.0736  0.1658  0.0439  0.08
Hatto 1997   41  0.4128  0.0012  0.1220  0.3827  0.2612  0.31
Horowitz 1949   76  0.2647  0.0069  0.0371  0.0386  0.0283  0.02
Indjic 1988   70  0.2856  0.0035  0.0535  0.1664  0.0438  0.08
Kapell 1951   1  0.671  0.401  0.392  0.5712  0.482  0.52
Kissin 1993   65  0.3148  0.0080  0.0282  0.0283  0.0384  0.02
Kushner 1989   48  0.3762  0.0067  0.0456  0.0488  0.0267  0.03
Luisada 1991   55  0.3553  0.0064  0.0458  0.0475  0.0360  0.03
Lushtak 2004   17  0.4914  0.0114  0.1314  0.4655  0.0523  0.15
Malcuzynski 1961   33  0.4342  0.0055  0.0553  0.0585  0.0356  0.04
Magaloff 1978   54  0.3563  0.0071  0.0374  0.0373  0.0363  0.03
Magin 1975   83  0.1485  0.0086  0.0189  0.0190  0.0189  0.01
Michalowski 1933   64  0.3170  0.0015  0.1117  0.4031  0.2911  0.34
Milkina 1970   27  0.447  0.0354  0.0747  0.0773  0.0448  0.05
Mohovich 1999   9  0.545  0.0518  0.1111  0.4750  0.0524  0.15
Moravec 1969   30  0.4417  0.0141  0.0537  0.1434  0.1425  0.14
Morozova 2008   44  0.3845  0.0044  0.0444  0.0885  0.0258  0.04
Neighaus 1950   43  0.3871  0.0052  0.0650  0.0675  0.0451  0.05
Niedzielski 1931   75  0.2686  0.0079  0.0380  0.0386  0.0280  0.02
Ohlsson 1999   37  0.4287  0.0045  0.0554  0.0568  0.0457  0.04
Osinska 1989   23  0.4713  0.0127  0.0727  0.2743  0.1119  0.17
Pachmann 1927   79  0.2259  0.0078  0.0370  0.0376  0.0368  0.03
Paderewski 1930   19  0.4854  0.0026  0.0822  0.3546  0.0626  0.14
Perlemuter 1992   45  0.3888  0.0046  0.0555  0.0574  0.0354  0.04
Pierdomenico 2008   72  0.2664  0.0073  0.0379  0.0376  0.0364  0.03
Poblocka 1999   3  0.6120  0.014  0.175  0.5214  0.396  0.45
Rabcewiczowa 1932   15  0.5223  0.0111  0.1613  0.4617  0.494  0.47
Rachmaninoff 1923   77  0.2638  0.0066  0.0459  0.0459  0.0455  0.04
Rangell 2001   50  0.3639  0.0070  0.0375  0.0385  0.0286  0.02
Richter 1976   46  0.3789  0.0049  0.0745  0.0783  0.0349  0.05
Rosen 1989   49  0.3637  0.0061  0.0369  0.0382  0.0373  0.03
Rosenthal 1930   34  0.4322  0.0132  0.0633  0.2044  0.0927  0.13
Rosenthal 1931   60  0.3218  0.0130  0.0643  0.1144  0.0934  0.10
Rosenthal 1931b   71  0.2731  0.0057  0.0460  0.0478  0.0377  0.03
Rosenthal 1931c   36  0.4340  0.0047  0.0651  0.0658  0.0452  0.05
Rosenthal 1931d   68  0.2936  0.0058  0.0462  0.0478  0.0376  0.03
Rossi 2007   82  0.1565  0.0065  0.0366  0.0374  0.0362  0.03
Rubinstein 1939   78  0.2515  0.0156  0.0461  0.0477  0.0365  0.03
Rubinstein 1952   58  0.3369  0.0077  0.0381  0.0379  0.0378  0.03
Rubinstein 1966   18  0.4924  0.0139  0.0538  0.1457  0.0636  0.09
Schilhawsky 1960   20  0.4857  0.0013  0.0915  0.4425  0.3210  0.38
Shebanova 2002   69  0.2990  0.0081  0.0364  0.0386  0.0285  0.02
Smith 1975   5  0.594  0.052  0.211  0.5819  0.375  0.46
Sokolov 2002   13  0.5343  0.0022  0.1119  0.3950  0.0622  0.15
Sztompka 1959   8  0.5572  0.008  0.1812  0.4625  0.367  0.41
Tomsic 1995   14  0.5312  0.0221  0.0821  0.3678  0.0333  0.10
Uninsky 1932   51  0.3666  0.0028  0.0632  0.2077  0.0437  0.09
Uninsky 1971   7  0.5510  0.025  0.156  0.4932  0.328  0.40
Wasowski 1980   66  0.3079  0.0068  0.0377  0.0355  0.0553  0.04
Zak 1937   67  0.3077  0.0074  0.0284  0.0282  0.0381  0.02
Zak 1951   61  0.3233  0.0060  0.0368  0.0386  0.0282  0.02
Random 1   90  -0.1260  0.0090  0.0190  0.0187  0.0290  0.01
Random 2   89  -0.0451  0.0087  0.0286  0.0232  0.1846  0.06
Random 3   86  0.0029  0.0085  0.0285  0.0230  0.2542  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).