Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   18  0.5343  0.0030  0.0724  0.3949  0.0635  0.15
Anderszewski 2003   63  0.4183  0.0073  0.0376  0.0356  0.0483  0.03
Ashkenazy 1981   14  0.5422  0.0113  0.0815  0.4837  0.2218  0.32
Bacha 2000   27  0.4942  0.0028  0.0726  0.367  0.5311  0.44
Badura 1965   58  0.4252  0.0065  0.0375  0.0348  0.0761  0.05
Barbosa 1983   2  0.602  0.152  0.183  0.691  0.701  0.69
Biret 1990   16  0.5440  0.0011  0.0914  0.4822  0.3315  0.40
Blet 2003   40  0.4757  0.0056  0.0465  0.0457  0.0575  0.04
Block 1995   57  0.4272  0.0060  0.0557  0.0553  0.0562  0.05
Blumental 1952   30  0.4925  0.0031  0.0639  0.1928  0.2431  0.21
Boshniakovich 1969   49  0.4358  0.0057  0.0466  0.0469  0.0477  0.04
Brailowsky 1960   38  0.4776  0.0051  0.0550  0.0530  0.3440  0.13
Bunin 1987   70  0.3941  0.0066  0.0385  0.0353  0.0578  0.04
Bunin 1987b   71  0.3945  0.0063  0.0472  0.0459  0.0569  0.04
Chiu 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cohen 1997   50  0.4332  0.0072  0.0381  0.0325  0.2947  0.09
Cortot 1951   82  0.3333  0.0083  0.0384  0.0380  0.0385  0.03
Csalog 1996   66  0.4112  0.0220  0.0834  0.2719  0.4717  0.36
Czerny 1949   72  0.3884  0.0079  0.0552  0.0586  0.0376  0.04
Czerny 1990   12  0.5417  0.0114  0.0813  0.5141  0.1225  0.25
Duchoud 2007   29  0.4915  0.0118  0.0910  0.534  0.624  0.57
Ezaki 2006   17  0.5356  0.0034  0.0629  0.3460  0.0539  0.13
Falvay 1989   10  0.5538  0.0025  0.0818  0.4324  0.4014  0.41
Farrell 1958   25  0.5064  0.0037  0.0538  0.2225  0.2924  0.25
Ferenczy 1958   80  0.3490  0.0081  0.0386  0.0379  0.0288  0.02
Fliere 1977   3  0.604  0.083  0.142  0.7235  0.356  0.50
Fou 1978   7  0.5614  0.0210  0.1312  0.5230  0.2816  0.38
Francois 1956   73  0.3873  0.0069  0.0469  0.0456  0.0479  0.04
Friedman 1923   60  0.4224  0.0078  0.0461  0.0439  0.1550  0.08
Friedman 1923b   56  0.4277  0.0076  0.0383  0.0338  0.1355  0.06
Friedman 1930   39  0.4720  0.0149  0.0558  0.0542  0.1151  0.07
Garcia 2007   76  0.3871  0.0077  0.0378  0.0340  0.1454  0.06
Garcia 2007b   61  0.4162  0.0070  0.0379  0.0363  0.0487  0.03
Gierzod 1998   51  0.4387  0.0046  0.0745  0.0780  0.0360  0.05
Gornostaeva 1994   54  0.4350  0.0053  0.0647  0.0657  0.0463  0.05
Groot 1988   32  0.4923  0.0115  0.0811  0.5327  0.3513  0.43
Harasiewicz 1955   11  0.5518  0.0135  0.0733  0.2757  0.0543  0.12
Hatto 1993   19  0.5169  0.0021  0.0821  0.4031  0.1626  0.25
Hatto 1997   26  0.5053  0.0027  0.0727  0.3640  0.1132  0.20
Horowitz 1949   45  0.4536  0.0048  0.0556  0.0530  0.3938  0.14
Indjic 1988   22  0.5110  0.0219  0.0819  0.4137  0.1623  0.26
Kapell 1951   55  0.429  0.0238  0.0535  0.2459  0.0444  0.10
Kissin 1993   33  0.4834  0.0023  0.0632  0.2969  0.0542  0.12
Kushner 1989   21  0.5137  0.0036  0.0730  0.3356  0.0637  0.14
Luisada 1991   8  0.5635  0.0012  0.079  0.5428  0.3710  0.45
Lushtak 2004   9  0.5655  0.0024  0.0725  0.3659  0.0541  0.13
Malcuzynski 1961   77  0.3860  0.0052  0.0554  0.0584  0.0370  0.04
Magaloff 1978   37  0.4721  0.0117  0.0820  0.4130  0.2319  0.31
Magin 1975   47  0.4474  0.0029  0.0828  0.3439  0.1428  0.22
Michalowski 1933   81  0.3368  0.0074  0.0460  0.0464  0.0573  0.04
Milkina 1970   42  0.4751  0.0026  0.0923  0.3944  0.1130  0.21
Mohovich 1999   28  0.4954  0.0039  0.0636  0.2361  0.0445  0.10
Moravec 1969   64  0.4159  0.0044  0.0842  0.1535  0.1833  0.16
Morozova 2008   5  0.588  0.037  0.157  0.6015  0.389  0.48
Neighaus 1950   20  0.5119  0.0116  0.0917  0.4555  0.0536  0.15
Niedzielski 1931   78  0.3728  0.0058  0.0468  0.0443  0.0953  0.06
Ohlsson 1999   15  0.543  0.085  0.166  0.6325  0.368  0.48
Osinska 1989   34  0.4830  0.0045  0.0646  0.0675  0.0456  0.05
Pachmann 1927   35  0.4827  0.0041  0.0740  0.176  0.5620  0.31
Paderewski 1930   79  0.3479  0.0075  0.0377  0.0356  0.0481  0.03
Perlemuter 1992   31  0.4966  0.0055  0.0462  0.0465  0.0466  0.04
Pierdomenico 2008   44  0.4549  0.0047  0.0648  0.0618  0.3834  0.15
Poblocka 1999   59  0.4239  0.0042  0.0743  0.1458  0.0548  0.08
Rabcewiczowa 1932   53  0.4347  0.0050  0.0551  0.0563  0.0557  0.05
Rachmaninoff 1923   36  0.4816  0.0122  0.0722  0.3935  0.1527  0.24
Rangell 2001   75  0.3813  0.0243  0.0741  0.1624  0.3029  0.22
Richter 1976   62  0.4111  0.0233  0.0544  0.1047  0.0649  0.08
Rosen 1989   13  0.545  0.089  0.178  0.5919  0.417  0.49
Rosenthal 1930   86  0.2588  0.0087  0.0463  0.0473  0.0384  0.03
Rosenthal 1931   87  0.2489  0.0086  0.0382  0.0361  0.0482  0.03
Rosenthal 1931b   84  0.2682  0.0085  0.0470  0.0448  0.0665  0.05
Rosenthal 1931c   83  0.2675  0.0084  0.0373  0.0368  0.0486  0.03
Rosenthal 1931d   85  0.2565  0.0080  0.0467  0.0448  0.0664  0.05
Rossi 2007   69  0.3963  0.0082  0.0387  0.0361  0.0567  0.04
Rubinstein 1939   68  0.3970  0.0067  0.0380  0.0332  0.2646  0.09
Rubinstein 1952   48  0.4378  0.0040  0.0837  0.2329  0.3222  0.27
Rubinstein 1966   24  0.5131  0.0032  0.0531  0.3136  0.2621  0.28
Schilhawsky 1960   52  0.4344  0.0059  0.0555  0.0546  0.0658  0.05
Shebanova 2002   1  0.611  0.221  0.221  0.776  0.602  0.68
Smith 1975   41  0.4767  0.0054  0.0553  0.0563  0.0468  0.04
Sokolov 2002   74  0.3880  0.0071  0.0464  0.0473  0.0380  0.03
Sztompka 1959   46  0.4448  0.0061  0.0459  0.0479  0.0472  0.04
Tomsic 1995   65  0.4146  0.0068  0.0471  0.0471  0.0471  0.04
Uninsky 1932   43  0.4561  0.0062  0.0649  0.0678  0.0459  0.05
Uninsky 1971   67  0.4029  0.0064  0.0374  0.0362  0.0574  0.04
Wasowski 1980   23  0.516  0.068  0.1716  0.4715  0.4112  0.44
Zak 1937   4  0.597  0.044  0.214  0.6714  0.523  0.59
Zak 1951   6  0.5826  0.006  0.185  0.6522  0.425  0.52
Random 1   90  -0.0785  0.0090  0.0190  0.0174  0.0290  0.01
Random 2   89  -0.0481  0.0089  0.0189  0.0148  0.0589  0.02
Random 3   88  -0.0186  0.0088  0.0288  0.0227  0.2452  0.07

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).