Farrell 1958

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   76  0.2645  0.0057  0.0466  0.0483  0.0383  0.03
Anderszewski 2003   24  0.4548  0.0020  0.1020  0.4939  0.2626  0.36
Ashkenazy 1981   70  0.3152  0.0074  0.0477  0.0480  0.0385  0.03
Bacha 2000   25  0.4551  0.0022  0.0722  0.454  0.5913  0.52
Badura 1965   72  0.3084  0.0067  0.0560  0.0571  0.0371  0.04
Barbosa 1983   8  0.5317  0.0014  0.168  0.6727  0.3814  0.50
Biret 1990   35  0.4357  0.0042  0.0742  0.2060  0.0545  0.10
Blet 2003   87  0.1873  0.0087  0.0286  0.0279  0.0390  0.02
Block 1995   57  0.3582  0.0066  0.0651  0.0658  0.0562  0.05
Blumental 1952   52  0.3774  0.0059  0.0470  0.0466  0.0572  0.04
Boshniakovich 1969   49  0.3966  0.0050  0.0849  0.0869  0.0457  0.06
Brailowsky 1960   71  0.3169  0.0076  0.0474  0.0480  0.0381  0.03
Bunin 1987   68  0.3268  0.0062  0.0465  0.0467  0.0475  0.04
Bunin 1987b   61  0.3381  0.0064  0.0561  0.0571  0.0465  0.04
Chiu 1999   64  0.3275  0.0063  0.0476  0.0460  0.0563  0.04
Cohen 1997   63  0.3253  0.0068  0.0473  0.0460  0.0474  0.04
Cortot 1951   31  0.4432  0.0037  0.0838  0.254  0.6922  0.42
Csalog 1996   69  0.3187  0.0065  0.0555  0.0576  0.0467  0.04
Czerny 1949   1  0.611  0.431  0.422  0.794  0.771  0.78
Czerny 1990   5  0.5524  0.008  0.179  0.6625  0.605  0.63
Duchoud 2007   55  0.3643  0.0049  0.0947  0.0910  0.5736  0.23
Ezaki 2006   12  0.5015  0.0117  0.1318  0.5430  0.2924  0.40
Falvay 1989   33  0.4310  0.0144  0.0843  0.1759  0.0546  0.09
Farrell 1958   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ferenczy 1958   84  0.2247  0.0084  0.0384  0.0387  0.0382  0.03
Fliere 1977   41  0.4139  0.0021  0.0824  0.4156  0.0543  0.14
Fou 1978   44  0.4076  0.0048  0.1345  0.1351  0.0647  0.09
Francois 1956   46  0.3937  0.0028  0.0634  0.326  0.5523  0.42
Friedman 1923   82  0.2344  0.0078  0.0381  0.0355  0.0579  0.04
Friedman 1923b   81  0.2377  0.0081  0.0472  0.0474  0.0476  0.04
Friedman 1930   77  0.2658  0.0082  0.0559  0.0573  0.0468  0.04
Garcia 2007   47  0.396  0.0135  0.0741  0.2214  0.5130  0.33
Garcia 2007b   19  0.475  0.0311  0.1716  0.5613  0.5811  0.57
Gierzod 1998   40  0.4214  0.0145  0.0844  0.1675  0.0452  0.08
Gornostaeva 1994   51  0.3870  0.0061  0.0563  0.0584  0.0286  0.03
Groot 1988   45  0.4035  0.0031  0.0635  0.2970  0.0444  0.11
Harasiewicz 1955   14  0.5026  0.0018  0.1219  0.5337  0.3621  0.44
Hatto 1993   21  0.4631  0.0027  0.0525  0.4144  0.1633  0.26
Hatto 1997   38  0.4283  0.0038  0.0731  0.3444  0.0939  0.17
Horowitz 1949   89  0.0688  0.0091  0.0191  0.0189  0.0291  0.01
Indjic 1988   34  0.4371  0.0032  0.0828  0.3943  0.1634  0.25
Kapell 1951   9  0.5129  0.0010  0.147  0.6719  0.558  0.61
Kissin 1993   23  0.4618  0.0024  0.0630  0.3638  0.3427  0.35
Kushner 1989   6  0.553  0.105  0.365  0.7213  0.574  0.64
Luisada 1991   85  0.2154  0.0088  0.0287  0.0288  0.0288  0.02
Lushtak 2004   10  0.5122  0.0012  0.1714  0.5822  0.4812  0.53
Malcuzynski 1961   4  0.5523  0.009  0.216  0.7119  0.529  0.61
Magaloff 1978   26  0.4546  0.0040  0.0837  0.2846  0.0940  0.16
Magin 1975   30  0.4438  0.0041  0.1036  0.2942  0.1337  0.19
Michalowski 1933   86  0.1872  0.0083  0.0479  0.0456  0.0466  0.04
Milkina 1970   13  0.5049  0.0013  0.1611  0.6333  0.3219  0.45
Mohovich 1999   32  0.4341  0.0026  0.0626  0.4038  0.1932  0.28
Moravec 1969   42  0.4121  0.0053  0.0558  0.0567  0.0558  0.05
Morozova 2008   27  0.4528  0.0036  0.1129  0.3627  0.3428  0.35
Neighaus 1950   53  0.3633  0.0069  0.0467  0.0441  0.1154  0.07
Niedzielski 1931   80  0.2478  0.0085  0.0285  0.0280  0.0389  0.02
Ohlsson 1999   28  0.4464  0.0047  0.0948  0.0936  0.2742  0.16
Osinska 1989   18  0.478  0.0115  0.2012  0.6338  0.3516  0.47
Pachmann 1927   62  0.3389  0.0055  0.0556  0.0511  0.5538  0.17
Paderewski 1930   83  0.2361  0.0075  0.0468  0.0437  0.1651  0.08
Perlemuter 1992   75  0.2790  0.0077  0.0480  0.0473  0.0380  0.03
Pierdomenico 2008   58  0.3550  0.0030  0.0632  0.338  0.6020  0.44
Poblocka 1999   20  0.4730  0.0025  0.0633  0.3338  0.2431  0.28
Rabcewiczowa 1932   17  0.4936  0.0016  0.1317  0.5617  0.4115  0.48
Rachmaninoff 1923   65  0.3291  0.0039  0.0646  0.1374  0.0355  0.06
Rangell 2001   11  0.5111  0.017  0.1513  0.596  0.667  0.62
Richter 1976   22  0.4659  0.0023  0.0623  0.4122  0.5118  0.46
Rosen 1989   54  0.3655  0.0056  0.0464  0.0475  0.0384  0.03
Rosenthal 1930   60  0.3434  0.0073  0.0562  0.0558  0.0470  0.04
Rosenthal 1931   67  0.3260  0.0071  0.0478  0.0443  0.1153  0.07
Rosenthal 1931b   79  0.2567  0.0080  0.0382  0.0351  0.0577  0.04
Rosenthal 1931c   73  0.3027  0.0072  0.0475  0.0462  0.0578  0.04
Rosenthal 1931d   78  0.2585  0.0079  0.0383  0.0363  0.0487  0.03
Rossi 2007   56  0.3612  0.0134  0.0639  0.248  0.5325  0.36
Rubinstein 1939   16  0.4913  0.016  0.1710  0.658  0.596  0.62
Rubinstein 1952   7  0.534  0.053  0.204  0.7413  0.583  0.66
Rubinstein 1966   3  0.557  0.014  0.263  0.7919  0.612  0.69
Schilhawsky 1960   39  0.4256  0.0029  0.0621  0.4521  0.4917  0.47
Shebanova 2002   43  0.4062  0.0052  0.0553  0.0556  0.0561  0.05
Smith 1975   66  0.3286  0.0060  0.0471  0.0462  0.0564  0.04
Sokolov 2002   29  0.4420  0.0051  0.0652  0.0644  0.1250  0.08
Sztompka 1959   15  0.499  0.0119  0.1515  0.5613  0.6310  0.59
Tomsic 1995   50  0.3865  0.0054  0.0557  0.0561  0.0660  0.05
Uninsky 1932   74  0.2719  0.0058  0.0469  0.0458  0.0469  0.04
Uninsky 1971   36  0.4316  0.0033  0.0927  0.4038  0.2729  0.33
Wasowski 1980   59  0.3440  0.0070  0.0554  0.0575  0.0559  0.05
Zak 1937   48  0.3942  0.0046  0.0850  0.0845  0.1048  0.09
Zak 1951   37  0.4225  0.0043  0.0940  0.2438  0.1141  0.16
Average   2  0.612  0.232  0.391  0.8452  0.0735  0.24
Random 1   91  -0.0779  0.0089  0.0190  0.0136  0.2073  0.04
Random 2   88  0.0980  0.0090  0.0189  0.0120  0.3256  0.06
Random 3   90  -0.0663  0.0086  0.0288  0.0211  0.3849  0.09

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).