Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   40  0.4639  0.0026  0.0627  0.2040  0.2332  0.21
Anderszewski 2003   4  0.6213  0.005  0.1910  0.515  0.568  0.53
Ashkenazy 1981   3  0.658  0.003  0.203  0.654  0.643  0.64
Bacha 2000   34  0.4822  0.0043  0.0544  0.1012  0.5030  0.22
Badura 1965   51  0.4351  0.0059  0.0654  0.0634  0.3143  0.14
Barbosa 1983   42  0.4623  0.0044  0.0642  0.1232  0.2537  0.17
Biret 1990   32  0.4852  0.0042  0.0640  0.1241  0.1350  0.12
Blet 2003   30  0.4953  0.0040  0.0539  0.1317  0.4127  0.23
Block 1995   79  0.3167  0.0062  0.0570  0.0568  0.0476  0.04
Blumental 1952   13  0.5331  0.0025  0.0733  0.1511  0.3628  0.23
Boshniakovich 1969   49  0.4340  0.0048  0.0845  0.0839  0.1849  0.12
Brailowsky 1960   66  0.3741  0.0077  0.0381  0.0367  0.0481  0.03
Bunin 1987   55  0.4154  0.0064  0.0848  0.0834  0.2046  0.13
Bunin 1987b   56  0.4168  0.0063  0.0475  0.0434  0.2157  0.09
Chiu 1999   15  0.5169  0.0033  0.0531  0.1621  0.4022  0.25
Cohen 1997   65  0.3826  0.0076  0.0385  0.0332  0.2559  0.09
Cortot 1951   71  0.3642  0.0070  0.0472  0.0455  0.0577  0.04
Csalog 1996   78  0.3211  0.0065  0.0656  0.0636  0.2251  0.11
Czerny 1949   54  0.4243  0.0050  0.0565  0.0550  0.0765  0.06
Czerny 1990   16  0.5170  0.0023  0.0715  0.3840  0.1429  0.23
Duchoud 2007   23  0.5071  0.0018  0.0919  0.2716  0.4515  0.35
Ezaki 2006   20  0.504  0.0052  0.0566  0.0552  0.0666  0.05
Falvay 1989   67  0.3727  0.0080  0.0569  0.0558  0.0568  0.05
Farrell 1958   50  0.4344  0.0067  0.0657  0.0666  0.0469  0.05
Ferenczy 1958   60  0.4116  0.0061  0.0567  0.0530  0.2452  0.11
Fliere 1977   7  0.5732  0.009  0.226  0.6017  0.497  0.54
Fou 1978   36  0.4745  0.0032  0.0532  0.1565  0.0556  0.09
Francois 1956   81  0.3017  0.0079  0.0476  0.0472  0.0388  0.03
Friedman 1923   33  0.4872  0.0058  0.0847  0.0820  0.3539  0.17
Friedman 1923b   31  0.4855  0.0057  0.0846  0.0820  0.3738  0.17
Friedman 1930   24  0.5046  0.0031  0.0528  0.1916  0.4618  0.30
Garcia 2007   62  0.4056  0.0066  0.0653  0.0624  0.2745  0.13
Garcia 2007b   48  0.4324  0.0054  0.0750  0.0710  0.4934  0.19
Gierzod 1998   10  0.5457  0.0011  0.208  0.5419  0.4710  0.50
Gornostaeva 1994   74  0.3473  0.0074  0.0380  0.0374  0.0385  0.03
Groot 1988   57  0.4128  0.0030  0.0529  0.1866  0.0460  0.08
Harasiewicz 1955   17  0.5158  0.0012  0.1311  0.4833  0.2417  0.34
Hatto 1993   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Hatto 1997   2  0.952  0.002  0.962  0.992  0.992  0.99
Horowitz 1949   58  0.4174  0.0036  0.0743  0.1232  0.3731  0.21
Indjic 1988   1  0.991  0.991  0.981  1.001  1.001  1.00
Kapell 1951   26  0.4930  0.0015  0.1014  0.3930  0.3016  0.34
Kissin 1993   43  0.4559  0.0017  0.1021  0.2432  0.2623  0.25
Kushner 1989   29  0.4914  0.0045  0.0562  0.0545  0.1061  0.07
Luisada 1991   5  0.616  0.006  0.144  0.634  0.624  0.62
Lushtak 2004   14  0.5219  0.0037  0.0534  0.1538  0.1444  0.14
Malcuzynski 1961   64  0.389  0.0020  0.0726  0.2044  0.1436  0.17
Magaloff 1978   59  0.4147  0.0022  0.0922  0.2255  0.0553  0.10
Magin 1975   8  0.5660  0.008  0.259  0.529  0.529  0.52
Michalowski 1933   63  0.3961  0.0056  0.0652  0.0624  0.3641  0.15
Milkina 1970   38  0.4762  0.0021  0.0725  0.2070  0.0554  0.10
Mohovich 1999   53  0.4275  0.0035  0.0730  0.1638  0.2135  0.18
Moravec 1969   73  0.3476  0.0072  0.0384  0.0360  0.0479  0.03
Morozova 2008   12  0.5433  0.0010  0.1420  0.2424  0.2821  0.26
Neighaus 1950   19  0.5077  0.0024  0.0716  0.3634  0.2120  0.27
Niedzielski 1931   61  0.4129  0.0027  0.0635  0.1514  0.4919  0.27
Ohlsson 1999   6  0.6010  0.007  0.225  0.6010  0.506  0.55
Osinska 1989   46  0.4420  0.0051  0.0559  0.0550  0.0667  0.05
Pachmann 1927   82  0.2963  0.0082  0.0474  0.0461  0.0574  0.04
Paderewski 1930   70  0.3634  0.0068  0.0563  0.0534  0.1955  0.10
Perlemuter 1992   68  0.3735  0.0071  0.0473  0.0481  0.0380  0.03
Pierdomenico 2008   75  0.3412  0.0069  0.0478  0.0445  0.0864  0.06
Poblocka 1999   35  0.477  0.0014  0.1513  0.4124  0.3613  0.38
Rabcewiczowa 1932   77  0.3336  0.0075  0.0386  0.0387  0.0383  0.03
Rachmaninoff 1923   47  0.4364  0.0060  0.0749  0.0749  0.0563  0.06
Rangell 2001   83  0.2948  0.0081  0.0561  0.0555  0.0571  0.05
Richter 1976   45  0.4478  0.0047  0.0560  0.0515  0.4540  0.15
Rosen 1989   41  0.4637  0.0034  0.0538  0.1551  0.0658  0.09
Rosenthal 1930   72  0.3579  0.0073  0.0388  0.0358  0.0575  0.04
Rosenthal 1931   84  0.2780  0.0084  0.0383  0.0381  0.0384  0.03
Rosenthal 1931b   85  0.2781  0.0085  0.0382  0.0378  0.0387  0.03
Rosenthal 1931c   80  0.3138  0.0083  0.0568  0.0564  0.0478  0.04
Rosenthal 1931d   86  0.2582  0.0086  0.0471  0.0482  0.0386  0.03
Rossi 2007   87  0.1583  0.0087  0.0479  0.0487  0.0282  0.03
Rubinstein 1939   18  0.5118  0.0041  0.0641  0.127  0.4925  0.24
Rubinstein 1952   76  0.3384  0.0046  0.0564  0.0551  0.0672  0.05
Rubinstein 1966   9  0.553  0.0019  0.0717  0.3424  0.3914  0.36
Schilhawsky 1960   21  0.5049  0.0016  0.1418  0.3322  0.4612  0.39
Shebanova 2002   11  0.5485  0.004  0.227  0.5811  0.555  0.56
Smith 1975   44  0.4565  0.0055  0.0655  0.0679  0.0373  0.04
Sokolov 2002   27  0.4986  0.0038  0.0537  0.1542  0.1342  0.14
Sztompka 1959   39  0.465  0.0053  0.0658  0.0645  0.0962  0.07
Tomsic 1995   69  0.3615  0.0078  0.0477  0.0453  0.0670  0.05
Uninsky 1932   52  0.4287  0.0049  0.0651  0.0634  0.2547  0.12
Uninsky 1971   37  0.4750  0.0013  0.1112  0.4715  0.4411  0.45
Wasowski 1980   25  0.4925  0.0039  0.0636  0.1517  0.4024  0.24
Zak 1937   22  0.5021  0.0029  0.0623  0.2134  0.2826  0.24
Zak 1951   28  0.4966  0.0028  0.0524  0.2142  0.1933  0.20
Random 1   90  -0.0788  0.0090  0.0190  0.0166  0.0389  0.02
Random 2   88  0.0389  0.0088  0.0387  0.036  0.4748  0.12
Random 3   89  -0.0290  0.0089  0.0189  0.0159  0.0390  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).