Farrell 1958

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   36  0.5616  0.0138  0.0840  0.2264  0.0553  0.10
Anderszewski 2003   15  0.5869  0.0023  0.1216  0.4732  0.3424  0.40
Ashkenazy 1981   46  0.5231  0.0055  0.0747  0.0756  0.0562  0.06
Bacha 2000   32  0.5652  0.0032  0.0834  0.324  0.5222  0.41
Badura 1965   71  0.4362  0.0077  0.0478  0.0472  0.0477  0.04
Barbosa 1983   28  0.5740  0.0033  0.0933  0.3323  0.4525  0.39
Biret 1990   7  0.6223  0.009  0.148  0.5714  0.4614  0.51
Blet 2003   77  0.3789  0.0078  0.0479  0.0479  0.0386  0.03
Block 1995   60  0.4878  0.0047  0.0656  0.0629  0.2249  0.11
Blumental 1952   23  0.5784  0.0035  0.0932  0.3347  0.0641  0.14
Boshniakovich 1969   55  0.4851  0.0057  0.0746  0.0760  0.0561  0.06
Brailowsky 1960   66  0.4675  0.0073  0.0566  0.0566  0.0564  0.05
Bunin 1987   87  0.2870  0.0086  0.0386  0.0386  0.0390  0.03
Bunin 1987b   86  0.2973  0.0087  0.0477  0.0487  0.0282  0.03
Chiu 1999   39  0.5579  0.0054  0.0749  0.0747  0.0757  0.07
Cohen 1997   65  0.4765  0.0069  0.0475  0.0423  0.2950  0.11
Cortot 1951   44  0.5326  0.0050  0.0659  0.068  0.5935  0.19
Csalog 1996   83  0.3485  0.0065  0.0381  0.0374  0.0385  0.03
Czerny 1949   11  0.592  0.153  0.156  0.5929  0.4216  0.50
Czerny 1990   1  0.659  0.024  0.134  0.6413  0.535  0.58
Duchoud 2007   69  0.4563  0.0064  0.0653  0.0628  0.2547  0.12
Ezaki 2006   8  0.615  0.0314  0.1023  0.4334  0.2827  0.35
Falvay 1989   25  0.5714  0.0130  0.0930  0.3715  0.4920  0.43
Farrell 1958   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ferenczy 1958   79  0.3671  0.0083  0.0387  0.0380  0.0387  0.03
Fliere 1977   35  0.5641  0.0027  0.1022  0.4361  0.0537  0.15
Fou 1978   17  0.5876  0.0017  0.0713  0.5125  0.3323  0.41
Francois 1956   42  0.5418  0.0118  0.0824  0.425  0.6115  0.51
Friedman 1923   59  0.4839  0.0071  0.0663  0.0654  0.0573  0.05
Friedman 1923b   53  0.4949  0.0070  0.0471  0.0465  0.0579  0.04
Friedman 1930   57  0.4859  0.0072  0.0469  0.0472  0.0475  0.04
Garcia 2007   21  0.5712  0.0216  0.0817  0.465  0.5912  0.52
Garcia 2007b   20  0.5710  0.0212  0.1412  0.534  0.607  0.56
Gierzod 1998   40  0.5513  0.0131  0.0929  0.3748  0.0639  0.15
Gornostaeva 1994   58  0.4872  0.0061  0.0660  0.0675  0.0380  0.04
Groot 1988   26  0.5738  0.0015  0.0920  0.4510  0.4718  0.46
Harasiewicz 1955   12  0.5935  0.0025  0.0931  0.3652  0.0544  0.13
Hatto 1993   18  0.5857  0.0043  0.0842  0.1847  0.0654  0.10
Hatto 1997   33  0.5681  0.0044  0.0744  0.1447  0.0752  0.10
Horowitz 1949   85  0.3280  0.0085  0.0383  0.0383  0.0383  0.03
Indjic 1988   29  0.5764  0.0042  0.0641  0.1948  0.0648  0.11
Kapell 1951   51  0.5036  0.0029  0.0926  0.4143  0.1232  0.22
Kissin 1993   22  0.5719  0.0124  0.1019  0.4540  0.2828  0.35
Kushner 1989   5  0.648  0.022  0.183  0.6413  0.582  0.61
Luisada 1991   54  0.4843  0.0068  0.0567  0.0572  0.0374  0.04
Lushtak 2004   4  0.6417  0.0111  0.1111  0.539  0.5510  0.54
Malcuzynski 1961   45  0.5232  0.0048  0.0654  0.0628  0.2446  0.12
Magaloff 1978   13  0.5824  0.0019  0.0827  0.405  0.5217  0.46
Magin 1975   49  0.5158  0.0045  0.0845  0.0859  0.0459  0.06
Michalowski 1933   84  0.3486  0.0084  0.0384  0.0381  0.0384  0.03
Milkina 1970   10  0.6066  0.0010  0.117  0.5825  0.4513  0.51
Mohovich 1999   38  0.5553  0.0020  0.0815  0.5029  0.3819  0.44
Moravec 1969   63  0.4748  0.0063  0.0658  0.0630  0.2842  0.13
Morozova 2008   19  0.5829  0.0037  0.0836  0.2941  0.2131  0.25
Neighaus 1950   30  0.5625  0.0046  0.0750  0.0731  0.2543  0.13
Niedzielski 1931   64  0.4742  0.0066  0.0380  0.0374  0.0381  0.03
Ohlsson 1999   16  0.5844  0.0040  0.0739  0.2336  0.2034  0.21
Osinska 1989   6  0.621  0.381  0.382  0.6814  0.581  0.63
Pachmann 1927   73  0.4174  0.0076  0.0382  0.0325  0.3451  0.10
Paderewski 1930   70  0.4446  0.0060  0.0655  0.0619  0.4536  0.16
Perlemuter 1992   52  0.5077  0.0053  0.0661  0.0642  0.1355  0.09
Pierdomenico 2008   61  0.4815  0.0122  0.1021  0.441  0.688  0.55
Poblocka 1999   62  0.4828  0.0056  0.0748  0.0754  0.0558  0.06
Rabcewiczowa 1932   31  0.5621  0.0113  0.1318  0.4513  0.4221  0.43
Rachmaninoff 1923   34  0.5667  0.0026  0.0828  0.4030  0.2629  0.32
Rangell 2001   68  0.4634  0.0034  0.0938  0.245  0.5726  0.37
Richter 1976   74  0.4120  0.0174  0.0472  0.0449  0.0665  0.05
Rosen 1989   47  0.5161  0.0049  0.0657  0.0647  0.0660  0.06
Rosenthal 1930   76  0.3850  0.0081  0.0474  0.0475  0.0388  0.03
Rosenthal 1931   78  0.3737  0.0079  0.0470  0.0446  0.0767  0.05
Rosenthal 1931b   82  0.3590  0.0080  0.0385  0.0344  0.1071  0.05
Rosenthal 1931c   80  0.3556  0.0075  0.0476  0.0446  0.0672  0.05
Rosenthal 1931d   81  0.3587  0.0082  0.0468  0.0445  0.0770  0.05
Rossi 2007   27  0.5711  0.0221  0.0814  0.503  0.5711  0.53
Rubinstein 1939   9  0.616  0.028  0.1510  0.544  0.579  0.55
Rubinstein 1952   24  0.574  0.056  0.169  0.569  0.566  0.56
Rubinstein 1966   2  0.653  0.085  0.145  0.6211  0.574  0.59
Schilhawsky 1960   67  0.4660  0.0058  0.0652  0.0653  0.0568  0.05
Shebanova 2002   14  0.5822  0.0128  0.0925  0.4138  0.2130  0.29
Smith 1975   48  0.5182  0.0041  0.0843  0.1730  0.2533  0.21
Sokolov 2002   43  0.5327  0.0051  0.0564  0.0543  0.0956  0.07
Sztompka 1959   3  0.647  0.027  0.151  0.7021  0.523  0.60
Tomsic 1995   56  0.4855  0.0052  0.0565  0.0524  0.4638  0.15
Uninsky 1932   72  0.4145  0.0067  0.0473  0.0463  0.0476  0.04
Uninsky 1971   75  0.4047  0.0062  0.0662  0.0679  0.0466  0.05
Wasowski 1980   50  0.5068  0.0059  0.0751  0.0775  0.0463  0.05
Zak 1937   41  0.5430  0.0039  0.0837  0.2557  0.0645  0.12
Zak 1951   37  0.5633  0.0036  0.0935  0.3051  0.0740  0.14
Random 1   90  -0.1283  0.0090  0.0190  0.0143  0.1089  0.03
Random 2   88  0.0188  0.0088  0.0288  0.0236  0.1469  0.05
Random 3   89  -0.0754  0.0089  0.0189  0.0134  0.1778  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).