Ferenczy 1958

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   20  0.6244  0.0032  0.0727  0.3046  0.0731  0.14
Anderszewski 2003   31  0.557  0.0210  0.1216  0.4035  0.1818  0.27
Ashkenazy 1981   34  0.5564  0.0026  0.0921  0.3836  0.1621  0.25
Bacha 2000   46  0.4835  0.0069  0.0370  0.0354  0.0551  0.04
Badura 1965   69  0.3743  0.0049  0.0548  0.0566  0.0456  0.04
Barbosa 1983   36  0.5472  0.0027  0.0734  0.2635  0.2519  0.25
Biret 1990   21  0.6260  0.0031  0.0622  0.3843  0.1224  0.21
Blet 2003   6  0.6976  0.0018  0.0814  0.4126  0.2513  0.32
Block 1995   57  0.4257  0.0068  0.0371  0.0377  0.0373  0.03
Blumental 1952   70  0.3729  0.0012  0.0932  0.2620  0.2420  0.25
Boshniakovich 1969   68  0.3883  0.0086  0.0285  0.0287  0.0285  0.02
Brailowsky 1960   52  0.469  0.0264  0.0366  0.0365  0.0462  0.03
Bunin 1987   11  0.6616  0.0115  0.087  0.4930  0.2711  0.36
Bunin 1987b   12  0.6640  0.0017  0.088  0.4932  0.2710  0.36
Chiu 1999   85  0.2079  0.0087  0.0283  0.0284  0.0376  0.02
Cohen 1997   72  0.3613  0.0147  0.0456  0.0449  0.0557  0.04
Cortot 1951   4  0.713  0.074  0.296  0.515  0.504  0.50
Csalog 1996   51  0.4723  0.0162  0.0367  0.0349  0.0652  0.04
Czerny 1949   22  0.6154  0.0020  0.0918  0.4038  0.1916  0.28
Czerny 1990   17  0.6332  0.0023  0.0920  0.3841  0.1125  0.20
Duchoud 2007   19  0.6284  0.0025  0.0917  0.4038  0.1917  0.28
Ezaki 2006   8  0.688  0.0216  0.0711  0.4446  0.0628  0.16
Falvay 1989   32  0.5521  0.0144  0.0444  0.0967  0.0445  0.06
Farrell 1958   28  0.5926  0.0141  0.0540  0.1654  0.0439  0.08
Ferenczy 1958   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fliere 1977   38  0.5291  0.0059  0.0457  0.0476  0.0361  0.03
Fou 1978   71  0.3628  0.0083  0.0284  0.0284  0.0278  0.02
Francois 1956   29  0.5824  0.0135  0.1035  0.2453  0.0534  0.11
Friedman 1923   89  0.0771  0.0051  0.0453  0.0445  0.1144  0.07
Friedman 1923b   88  0.0855  0.0050  0.0450  0.0445  0.1143  0.07
Friedman 1930   80  0.2850  0.0037  0.0639  0.1756  0.0538  0.09
Garcia 2007   66  0.4030  0.0052  0.0646  0.0645  0.1140  0.08
Garcia 2007b   86  0.1658  0.0055  0.0459  0.0456  0.0459  0.04
Gierzod 1998   33  0.5567  0.0043  0.0441  0.1266  0.0346  0.06
Gornostaeva 1994   44  0.4927  0.0067  0.0369  0.0382  0.0286  0.02
Groot 1988   24  0.6122  0.0130  0.0636  0.2366  0.0341  0.08
Harasiewicz 1955   74  0.3534  0.0042  0.0443  0.1078  0.0350  0.05
Hatto 1993   73  0.3551  0.0039  0.0938  0.1834  0.1627  0.17
Hatto 1997   48  0.4825  0.0113  0.1026  0.3126  0.2815  0.29
Horowitz 1949   77  0.3136  0.0079  0.0281  0.0279  0.0380  0.02
Indjic 1988   67  0.3977  0.0038  0.0637  0.1832  0.1626  0.17
Kapell 1951   1  0.851  0.481  0.471  0.655  0.552  0.60
Kissin 1993   60  0.4188  0.0080  0.0289  0.0278  0.0382  0.02
Kushner 1989   42  0.5085  0.0072  0.0455  0.0479  0.0368  0.03
Luisada 1991   50  0.4753  0.0057  0.0451  0.0480  0.0360  0.03
Lushtak 2004   16  0.6445  0.0011  0.1610  0.4550  0.0629  0.16
Malcuzynski 1961   37  0.5386  0.0071  0.0365  0.0379  0.0370  0.03
Magaloff 1978   55  0.4565  0.0076  0.0377  0.0381  0.0364  0.03
Magin 1975   82  0.2574  0.0089  0.0286  0.0290  0.0190  0.01
Michalowski 1933   54  0.4619  0.018  0.1512  0.4415  0.436  0.43
Milkina 1970   47  0.4849  0.0077  0.0282  0.0283  0.0379  0.02
Mohovich 1999   14  0.6410  0.0128  0.0725  0.3373  0.0335  0.10
Moravec 1969   39  0.5218  0.0148  0.0460  0.0438  0.1342  0.07
Morozova 2008   53  0.4647  0.0046  0.0549  0.0574  0.0354  0.04
Neighaus 1950   45  0.4966  0.0053  0.0547  0.0579  0.0358  0.04
Niedzielski 1931   63  0.4073  0.0066  0.0374  0.0378  0.0277  0.02
Ohlsson 1999   27  0.5970  0.0036  0.0731  0.2771  0.0337  0.09
Osinska 1989   25  0.6011  0.0133  0.1030  0.2837  0.1623  0.21
Pachmann 1927   76  0.3289  0.0081  0.0288  0.0281  0.0381  0.02
Paderewski 1930   9  0.6787  0.0021  0.1024  0.3611  0.399  0.37
Perlemuter 1992   35  0.5462  0.0034  0.0733  0.2665  0.0336  0.09
Pierdomenico 2008   65  0.4090  0.0074  0.0368  0.0375  0.0366  0.03
Poblocka 1999   2  0.814  0.042  0.312  0.644  0.571  0.60
Rabcewiczowa 1932   23  0.6131  0.0019  0.0815  0.4122  0.358  0.38
Rachmaninoff 1923   75  0.3541  0.0060  0.0452  0.0483  0.0365  0.03
Rangell 2001   58  0.4280  0.0085  0.0375  0.0385  0.0287  0.02
Richter 1976   26  0.592  0.075  0.1813  0.4125  0.2114  0.29
Rosen 1989   59  0.4278  0.0078  0.0280  0.0276  0.0384  0.02
Rosenthal 1930   40  0.5237  0.0045  0.0445  0.0878  0.0348  0.05
Rosenthal 1931   79  0.3138  0.0061  0.0463  0.0483  0.0272  0.03
Rosenthal 1931b   83  0.2461  0.0084  0.0378  0.0387  0.0289  0.02
Rosenthal 1931c   43  0.4933  0.0054  0.0461  0.0473  0.0374  0.03
Rosenthal 1931d   78  0.3148  0.0082  0.0287  0.0287  0.0288  0.02
Rossi 2007   84  0.2039  0.0056  0.0458  0.0474  0.0363  0.03
Rubinstein 1939   81  0.2614  0.0163  0.0372  0.0365  0.0467  0.03
Rubinstein 1952   64  0.4059  0.0065  0.0364  0.0368  0.0375  0.03
Rubinstein 1966   30  0.5612  0.0158  0.0454  0.0465  0.0453  0.04
Schilhawsky 1960   10  0.6675  0.007  0.175  0.5214  0.385  0.44
Shebanova 2002   56  0.4563  0.0073  0.0462  0.0469  0.0455  0.04
Smith 1975   7  0.685  0.036  0.194  0.5636  0.1912  0.33
Sokolov 2002   13  0.6556  0.0024  0.0923  0.3750  0.0530  0.14
Sztompka 1959   3  0.776  0.023  0.233  0.6011  0.463  0.53
Tomsic 1995   15  0.6417  0.0129  0.0729  0.2850  0.0433  0.11
Uninsky 1932   49  0.4768  0.0014  0.0928  0.3036  0.2022  0.24
Uninsky 1971   18  0.6320  0.019  0.169  0.4827  0.367  0.42
Wasowski 1980   41  0.5152  0.0040  0.0542  0.1077  0.0347  0.05
Zak 1937   62  0.4081  0.0075  0.0373  0.0381  0.0369  0.03
Zak 1951   61  0.4115  0.0170  0.0376  0.0382  0.0371  0.03
Average   5  0.7046  0.0022  0.0919  0.3950  0.0432  0.12
Random 1   91  -0.2169  0.0091  0.0191  0.0185  0.0291  0.01
Random 2   90  -0.1782  0.0090  0.0290  0.0260  0.0383  0.02
Random 3   87  0.0842  0.0088  0.0279  0.0240  0.1249  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).