Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   34  0.5168  0.0046  0.0651  0.0666  0.0472  0.05
Anderszewski 2003   35  0.5189  0.0032  0.0729  0.2735  0.1925  0.23
Ashkenazy 1981   43  0.4961  0.0048  0.0553  0.0585  0.0383  0.04
Bacha 2000   81  0.3671  0.0081  0.0652  0.0661  0.0566  0.05
Badura 1965   60  0.4727  0.0055  0.0650  0.0654  0.0663  0.06
Barbosa 1983   42  0.496  0.0216  0.1122  0.3219  0.4116  0.36
Biret 1990   11  0.5610  0.014  0.134  0.5416  0.434  0.48
Blet 2003   31  0.5123  0.0039  0.0537  0.1623  0.3126  0.22
Block 1995   48  0.4947  0.0034  0.0638  0.1628  0.2628  0.20
Blumental 1952   68  0.4328  0.0065  0.0383  0.0361  0.0486  0.03
Boshniakovich 1969   13  0.5532  0.0023  0.0614  0.4425  0.3212  0.38
Brailowsky 1960   76  0.4240  0.0080  0.0561  0.0561  0.0567  0.05
Bunin 1987   70  0.4355  0.0072  0.0477  0.0445  0.1160  0.07
Bunin 1987b   72  0.4369  0.0071  0.0479  0.0442  0.1157  0.07
Chiu 1999   33  0.517  0.0112  0.1116  0.4117  0.477  0.44
Cohen 1997   84  0.3338  0.0082  0.0562  0.0565  0.0484  0.04
Cortot 1951   50  0.4831  0.0054  0.0557  0.0519  0.4236  0.14
Csalog 1996   58  0.4721  0.0041  0.0543  0.1215  0.5022  0.24
Czerny 1949   26  0.5262  0.0033  0.0632  0.2254  0.0644  0.11
Czerny 1990   3  0.6111  0.017  0.1210  0.5131  0.2715  0.37
Duchoud 2007   57  0.4735  0.0061  0.0385  0.0341  0.1559  0.07
Ezaki 2006   59  0.4785  0.0073  0.0466  0.0477  0.0476  0.04
Falvay 1989   47  0.4959  0.0067  0.0475  0.0461  0.0579  0.04
Farrell 1958   39  0.5043  0.0050  0.0746  0.0729  0.2539  0.13
Ferenczy 1958   71  0.4378  0.0074  0.0387  0.0342  0.1462  0.06
Fliere 1977   5  0.5916  0.019  0.157  0.5241  0.2117  0.33
Fou 1978   54  0.4856  0.0053  0.0560  0.0549  0.0669  0.05
Francois 1956   62  0.4579  0.0075  0.0465  0.0474  0.0388  0.03
Friedman 1923   79  0.3722  0.0078  0.0386  0.0341  0.1465  0.06
Friedman 1923b   78  0.3830  0.0077  0.0476  0.0438  0.1461  0.07
Friedman 1930   66  0.4553  0.0056  0.0555  0.0530  0.2941  0.12
Garcia 2007   77  0.3983  0.0060  0.0382  0.0324  0.2748  0.09
Garcia 2007b   69  0.4329  0.0049  0.0554  0.0512  0.4634  0.15
Gierzod 1998   51  0.4876  0.0042  0.0641  0.1558  0.0547  0.09
Gornostaeva 1994   20  0.5313  0.0144  0.0544  0.1247  0.0555  0.08
Groot 1988   19  0.5341  0.0031  0.0731  0.2642  0.1629  0.20
Harasiewicz 1955   29  0.5115  0.0126  0.0621  0.3252  0.0637  0.14
Hatto 1993   44  0.4964  0.0025  0.0818  0.4037  0.1524  0.24
Hatto 1997   38  0.5018  0.0124  0.0519  0.4030  0.2319  0.30
Horowitz 1949   12  0.5614  0.0122  0.0626  0.3014  0.569  0.41
Indjic 1988   36  0.5150  0.0017  0.1013  0.4429  0.2118  0.30
Kapell 1951   4  0.603  0.043  0.122  0.6313  0.442  0.53
Kissin 1993   22  0.5339  0.0036  0.0533  0.1965  0.0545  0.10
Kushner 1989   10  0.5760  0.0020  0.0717  0.4152  0.0633  0.16
Luisada 1991   7  0.5825  0.008  0.125  0.5323  0.453  0.49
Lushtak 2004   49  0.4863  0.0037  0.0635  0.1855  0.0549  0.09
Malcuzynski 1961   28  0.5242  0.0035  0.0739  0.1570  0.0451  0.08
Magaloff 1978   52  0.4848  0.0064  0.0464  0.0447  0.0578  0.04
Magin 1975   24  0.5220  0.0038  0.0634  0.1945  0.0938  0.13
Michalowski 1933   74  0.4265  0.0068  0.0473  0.0456  0.0670  0.05
Milkina 1970   17  0.549  0.0111  0.1115  0.4143  0.1520  0.25
Mohovich 1999   64  0.4572  0.0069  0.0471  0.0468  0.0482  0.04
Moravec 1969   27  0.5219  0.0019  0.0836  0.1732  0.2130  0.19
Morozova 2008   18  0.5424  0.0021  0.0824  0.3154  0.0540  0.12
Neighaus 1950   23  0.5244  0.0015  0.1320  0.3844  0.1327  0.22
Niedzielski 1931   25  0.5212  0.0128  0.0623  0.3110  0.548  0.41
Ohlsson 1999   9  0.5733  0.0010  0.158  0.5233  0.3011  0.39
Osinska 1989   2  0.622  0.172  0.333  0.6117  0.481  0.54
Pachmann 1927   82  0.3580  0.0083  0.0559  0.0544  0.1353  0.08
Paderewski 1930   61  0.4558  0.0058  0.0480  0.0438  0.1552  0.08
Perlemuter 1992   30  0.5186  0.0045  0.0545  0.1140  0.1735  0.14
Pierdomenico 2008   75  0.4252  0.0059  0.0474  0.0452  0.0768  0.05
Poblocka 1999   14  0.5534  0.0013  0.1111  0.4829  0.2913  0.37
Rabcewiczowa 1932   56  0.4866  0.0057  0.0468  0.0440  0.1456  0.07
Rachmaninoff 1923   32  0.515  0.0218  0.0727  0.2843  0.1032  0.17
Rangell 2001   65  0.4526  0.0047  0.0558  0.0539  0.1550  0.09
Richter 1976   16  0.5437  0.0030  0.0625  0.3015  0.4514  0.37
Rosen 1989   37  0.5074  0.0051  0.0648  0.0655  0.0664  0.06
Rosenthal 1930   83  0.3457  0.0084  0.0747  0.0783  0.0373  0.05
Rosenthal 1931   87  0.2077  0.0086  0.0478  0.0468  0.0385  0.03
Rosenthal 1931b   88  0.1887  0.0088  0.0381  0.0369  0.0387  0.03
Rosenthal 1931c   85  0.2970  0.0085  0.0649  0.0662  0.0474  0.05
Rosenthal 1931d   86  0.2091  0.0087  0.0288  0.0272  0.0390  0.02
Rossi 2007   80  0.3636  0.0079  0.0472  0.0424  0.2842  0.11
Rubinstein 1939   73  0.4367  0.0066  0.0469  0.0422  0.3243  0.11
Rubinstein 1952   67  0.4481  0.0076  0.0563  0.0560  0.0575  0.05
Rubinstein 1966   45  0.4973  0.0062  0.0384  0.0348  0.0871  0.05
Schilhawsky 1960   21  0.5351  0.0029  0.0628  0.2738  0.2421  0.25
Shebanova 2002   8  0.584  0.025  0.159  0.5227  0.405  0.46
Smith 1975   53  0.4882  0.0052  0.0556  0.0584  0.0380  0.04
Sokolov 2002   55  0.4845  0.0063  0.0470  0.0455  0.0577  0.04
Sztompka 1959   6  0.5917  0.016  0.126  0.5224  0.3110  0.40
Tomsic 1995   63  0.4546  0.0070  0.0467  0.0458  0.0581  0.04
Uninsky 1932   15  0.548  0.0114  0.1012  0.4517  0.466  0.45
Uninsky 1971   41  0.4954  0.0027  0.0630  0.2643  0.1231  0.18
Wasowski 1980   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Zak 1937   40  0.5075  0.0040  0.0540  0.1556  0.0546  0.09
Zak 1951   46  0.4949  0.0043  0.0642  0.1475  0.0458  0.07
Average   1  0.701  0.541  0.541  0.8048  0.0723  0.24
Random 1   90  -0.0790  0.0090  0.0290  0.0261  0.0389  0.02
Random 2   91  -0.0888  0.0091  0.0191  0.0191  0.0191  0.01
Random 3   89  0.0084  0.0089  0.0289  0.0221  0.3054  0.08

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).