Farrell 1958

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   19  0.7110  0.0233  0.0729  0.3067  0.0441  0.11
Anderszewski 2003   29  0.6748  0.0025  0.0832  0.2742  0.1635  0.21
Ashkenazy 1981   32  0.6626  0.0053  0.0557  0.0565  0.0476  0.04
Bacha 2000   28  0.6725  0.0129  0.0835  0.2213  0.3930  0.29
Badura 1965   67  0.5173  0.0085  0.0564  0.0574  0.0475  0.04
Barbosa 1983   44  0.6438  0.0034  0.0640  0.1717  0.3333  0.24
Biret 1990   3  0.753  0.102  0.264  0.585  0.574  0.57
Blet 2003   63  0.5544  0.0059  0.0559  0.0555  0.0661  0.05
Block 1995   64  0.5454  0.0038  0.0539  0.1824  0.2336  0.20
Blumental 1952   17  0.7181  0.0027  0.0715  0.4528  0.1831  0.28
Boshniakovich 1969   66  0.5246  0.0064  0.0466  0.0448  0.0765  0.05
Brailowsky 1960   26  0.6782  0.0032  0.0631  0.289  0.4623  0.36
Bunin 1987   87  0.2558  0.0088  0.0476  0.0474  0.0387  0.03
Bunin 1987b   88  0.2571  0.0087  0.0381  0.0380  0.0380  0.03
Chiu 1999   15  0.7174  0.0043  0.0741  0.1720  0.2834  0.22
Cohen 1997   57  0.5759  0.0077  0.0470  0.0420  0.3142  0.11
Cortot 1951   53  0.6127  0.0056  0.0560  0.0533  0.2246  0.10
Csalog 1996   86  0.3187  0.0079  0.0478  0.0454  0.0471  0.04
Czerny 1949   62  0.5515  0.0151  0.0558  0.0569  0.0474  0.04
Czerny 1990   7  0.739  0.026  0.115  0.5517  0.3613  0.44
Duchoud 2007   68  0.5166  0.0073  0.0384  0.0345  0.1064  0.05
Ezaki 2006   6  0.746  0.0322  0.0722  0.3933  0.2129  0.29
Falvay 1989   24  0.6820  0.0131  0.0633  0.264  0.5622  0.38
Farrell 1958   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ferenczy 1958   75  0.4688  0.0083  0.0469  0.0483  0.0385  0.03
Fliere 1977   34  0.6577  0.0048  0.1245  0.1266  0.0454  0.07
Fou 1978   14  0.7160  0.0015  0.089  0.5122  0.3315  0.41
Francois 1956   38  0.6514  0.0118  0.0826  0.3313  0.4721  0.39
Friedman 1923   46  0.6351  0.0069  0.0556  0.0578  0.0378  0.04
Friedman 1923b   45  0.6440  0.0068  0.0467  0.0479  0.0388  0.03
Friedman 1930   50  0.6236  0.0067  0.0385  0.0361  0.0573  0.04
Garcia 2007   12  0.7216  0.0114  0.076  0.5310  0.525  0.52
Garcia 2007b   41  0.6517  0.0121  0.0719  0.4320  0.4114  0.42
Gierzod 1998   47  0.6356  0.0046  0.0947  0.0954  0.0555  0.07
Gornostaeva 1994   60  0.5675  0.0060  0.0750  0.0763  0.0466  0.05
Groot 1988   8  0.737  0.024  0.123  0.593  0.622  0.60
Harasiewicz 1955   40  0.6543  0.0040  0.0646  0.1177  0.0456  0.07
Hatto 1993   33  0.6572  0.0062  0.0468  0.0472  0.0477  0.04
Hatto 1997   37  0.6553  0.0063  0.0749  0.0772  0.0462  0.05
Horowitz 1949   70  0.5079  0.0071  0.0475  0.0465  0.0568  0.04
Indjic 1988   35  0.6591  0.0061  0.0561  0.0572  0.0470  0.04
Kapell 1951   74  0.4769  0.0057  0.0654  0.0656  0.0560  0.05
Kissin 1993   42  0.6557  0.0030  0.0828  0.3153  0.0440  0.11
Kushner 1989   22  0.6824  0.0126  0.0814  0.4825  0.3317  0.40
Luisada 1991   18  0.7161  0.0042  0.0738  0.1960  0.0545  0.10
Lushtak 2004   2  0.7722  0.0111  0.077  0.529  0.3712  0.44
Malcuzynski 1961   73  0.4749  0.0070  0.0388  0.0359  0.0481  0.03
Magaloff 1978   11  0.7231  0.005  0.1311  0.501  0.653  0.57
Magin 1975   61  0.5583  0.0052  0.0655  0.0667  0.0459  0.05
Michalowski 1933   80  0.4189  0.0084  0.0473  0.0478  0.0383  0.03
Milkina 1970   23  0.6880  0.0017  0.0813  0.4917  0.4110  0.45
Mohovich 1999   20  0.7070  0.007  0.1410  0.5117  0.469  0.48
Moravec 1969   65  0.5455  0.0055  0.0563  0.0523  0.4039  0.14
Morozova 2008   25  0.6839  0.0047  0.0848  0.0849  0.0557  0.06
Neighaus 1950   31  0.6613  0.0136  0.0637  0.1938  0.1338  0.16
Niedzielski 1931   55  0.5929  0.0050  0.0652  0.0680  0.0367  0.04
Ohlsson 1999   43  0.6418  0.0149  0.0651  0.0643  0.1349  0.09
Osinska 1989   4  0.751  0.321  0.322  0.644  0.621  0.63
Pachmann 1927   71  0.4934  0.0081  0.0471  0.0447  0.0569  0.04
Paderewski 1930   52  0.6267  0.0035  0.0627  0.3217  0.3825  0.35
Perlemuter 1992   21  0.695  0.0313  0.0725  0.3520  0.3226  0.33
Pierdomenico 2008   59  0.578  0.0223  0.0723  0.351  0.668  0.48
Poblocka 1999   77  0.4237  0.0072  0.0383  0.0378  0.0379  0.03
Rabcewiczowa 1932   48  0.6333  0.0020  0.0930  0.3012  0.3427  0.32
Rachmaninoff 1923   9  0.7319  0.0112  0.0718  0.4414  0.3616  0.40
Rangell 2001   83  0.3641  0.0039  0.0744  0.1430  0.2637  0.19
Richter 1976   85  0.3430  0.0086  0.0474  0.0470  0.0382  0.03
Rosen 1989   49  0.6290  0.0041  0.0636  0.2069  0.0451  0.09
Rosenthal 1930   81  0.3984  0.0078  0.0382  0.0382  0.0386  0.03
Rosenthal 1931   79  0.4135  0.0075  0.0386  0.0326  0.2850  0.09
Rosenthal 1931b   78  0.4276  0.0065  0.0472  0.0423  0.2844  0.11
Rosenthal 1931c   82  0.3842  0.0076  0.0477  0.0427  0.2447  0.10
Rosenthal 1931d   76  0.4385  0.0074  0.0480  0.0423  0.3343  0.11
Rossi 2007   16  0.7123  0.0124  0.0917  0.444  0.566  0.50
Rubinstein 1939   10  0.7345  0.009  0.0712  0.497  0.507  0.49
Rubinstein 1952   54  0.5928  0.0016  0.0924  0.3520  0.4420  0.39
Rubinstein 1966   5  0.7411  0.0210  0.0716  0.4510  0.4611  0.45
Schilhawsky 1960   69  0.5068  0.0066  0.0479  0.0472  0.0472  0.04
Shebanova 2002   27  0.674  0.058  0.0820  0.4240  0.1832  0.27
Smith 1975   30  0.6665  0.0028  0.0721  0.4012  0.3919  0.39
Sokolov 2002   58  0.5721  0.0154  0.0653  0.0644  0.1152  0.08
Sztompka 1959   13  0.7212  0.0119  0.088  0.5237  0.1728  0.30
Tomsic 1995   56  0.5947  0.0037  0.0534  0.2311  0.5324  0.35
Uninsky 1932   72  0.4878  0.0080  0.0565  0.0564  0.0563  0.05
Uninsky 1971   84  0.3462  0.0082  0.0387  0.0372  0.0484  0.03
Wasowski 1980   51  0.6264  0.0058  0.0562  0.0558  0.0558  0.05
Zak 1937   39  0.6532  0.0044  0.0742  0.1657  0.0453  0.08
Zak 1951   36  0.6550  0.0045  0.0743  0.1553  0.0548  0.09
Average   1  0.792  0.173  0.281  0.7235  0.2218  0.40
Random 1   91  -0.2586  0.0091  0.0191  0.0163  0.0390  0.02
Random 2   89  -0.0663  0.0089  0.0189  0.0151  0.0489  0.02
Random 3   90  -0.1552  0.0090  0.0190  0.0151  0.0591  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).