Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   31  0.485  0.0037  0.0538  0.1884  0.0347  0.07
Anderszewski 2003   39  0.4656  0.0020  0.1028  0.3247  0.0628  0.14
Ashkenazy 1981   16  0.528  0.0022  0.0916  0.4547  0.0624  0.16
Bacha 2000   80  0.3234  0.0081  0.0288  0.0278  0.0471  0.03
Badura 1965   48  0.446  0.0014  0.1025  0.3433  0.3214  0.33
Barbosa 1983   44  0.4557  0.0040  0.0639  0.1554  0.0541  0.09
Biret 1990   51  0.4235  0.0058  0.0557  0.0576  0.0466  0.04
Blet 2003   34  0.4736  0.0044  0.0541  0.1246  0.0643  0.08
Block 1995   70  0.367  0.0054  0.0463  0.0481  0.0385  0.03
Blumental 1952   74  0.3458  0.0065  0.0375  0.0383  0.0386  0.03
Boshniakovich 1969   22  0.5159  0.0034  0.0733  0.2358  0.0539  0.11
Brailowsky 1960   61  0.4060  0.0075  0.0467  0.0477  0.0455  0.04
Bunin 1987   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bunin 1987b   1  0.991  1.001  0.991  1.001  1.001  1.00
Chiu 1999   65  0.3914  0.0056  0.0554  0.0586  0.0356  0.04
Cohen 1997   87  0.2225  0.0087  0.0474  0.0486  0.0387  0.03
Cortot 1951   63  0.3961  0.0052  0.0556  0.0561  0.0467  0.04
Csalog 1996   84  0.3162  0.0077  0.0384  0.0361  0.0560  0.04
Czerny 1949   9  0.5537  0.0011  0.1310  0.5126  0.379  0.43
Czerny 1990   30  0.4838  0.0046  0.0646  0.0675  0.0365  0.04
Duchoud 2007   35  0.4726  0.0036  0.0832  0.2629  0.3117  0.28
Ezaki 2006   12  0.5316  0.0023  0.0619  0.4172  0.0433  0.13
Falvay 1989   56  0.4163  0.0074  0.0464  0.0482  0.0374  0.03
Farrell 1958   62  0.3964  0.0070  0.0466  0.0487  0.0278  0.03
Ferenczy 1958   28  0.4927  0.0038  0.0536  0.1912  0.4316  0.29
Fliere 1977   10  0.5565  0.0015  0.0812  0.4973  0.0427  0.14
Fou 1978   57  0.4166  0.0072  0.0472  0.0488  0.0279  0.03
Francois 1956   38  0.4639  0.0051  0.0648  0.0658  0.0453  0.05
Friedman 1923   78  0.3240  0.0043  0.0542  0.1228  0.2920  0.19
Friedman 1923b   77  0.3367  0.0042  0.0540  0.1330  0.2421  0.18
Friedman 1930   55  0.4128  0.0019  0.0922  0.3818  0.4510  0.41
Garcia 2007   75  0.3317  0.0068  0.0382  0.0367  0.0484  0.03
Garcia 2007b   71  0.3529  0.0063  0.0559  0.0561  0.0470  0.04
Gierzod 1998   36  0.4668  0.0053  0.0558  0.0565  0.0462  0.04
Gornostaeva 1994   29  0.4869  0.0031  0.0637  0.1862  0.0444  0.08
Groot 1988   18  0.5241  0.0012  0.1120  0.4051  0.0531  0.14
Harasiewicz 1955   24  0.5042  0.009  0.1511  0.4942  0.1518  0.27
Hatto 1993   54  0.4170  0.0035  0.0635  0.2049  0.0736  0.12
Hatto 1997   33  0.4718  0.0021  0.0818  0.4249  0.0623  0.16
Horowitz 1949   11  0.544  0.0018  0.1115  0.4519  0.516  0.48
Indjic 1988   47  0.4443  0.0026  0.0731  0.2754  0.0634  0.13
Kapell 1951   5  0.5813  0.008  0.137  0.5527  0.348  0.43
Kissin 1993   60  0.4071  0.0073  0.0465  0.0484  0.0381  0.03
Kushner 1989   42  0.4572  0.0057  0.0561  0.0586  0.0280  0.03
Luisada 1991   43  0.4544  0.0062  0.0553  0.0560  0.0550  0.05
Lushtak 2004   7  0.5573  0.005  0.113  0.5926  0.415  0.49
Malcuzynski 1961   8  0.5545  0.0010  0.136  0.5630  0.2713  0.39
Magaloff 1978   40  0.4530  0.0030  0.0643  0.1251  0.0542  0.08
Magin 1975   50  0.4346  0.0041  0.0544  0.1159  0.0446  0.07
Michalowski 1933   66  0.3874  0.0029  0.0729  0.3129  0.3415  0.32
Milkina 1970   69  0.373  0.0079  0.0376  0.0370  0.0558  0.04
Mohovich 1999   32  0.4775  0.0047  0.0555  0.0569  0.0464  0.04
Moravec 1969   76  0.3315  0.0084  0.0381  0.0375  0.0372  0.03
Morozova 2008   27  0.4919  0.0027  0.0727  0.3247  0.0629  0.14
Neighaus 1950   13  0.5376  0.0016  0.0914  0.4672  0.0432  0.14
Niedzielski 1931   73  0.3420  0.0066  0.0378  0.0351  0.0477  0.03
Ohlsson 1999   25  0.5077  0.0032  0.0626  0.3366  0.0438  0.11
Osinska 1989   59  0.4021  0.0069  0.0471  0.0468  0.0454  0.04
Pachmann 1927   41  0.4578  0.0049  0.0651  0.0615  0.4822  0.17
Paderewski 1930   53  0.4247  0.0059  0.0560  0.0560  0.0459  0.04
Perlemuter 1992   26  0.4979  0.0039  0.0634  0.2156  0.0540  0.10
Pierdomenico 2008   83  0.3180  0.0082  0.0386  0.0380  0.0375  0.03
Poblocka 1999   20  0.5131  0.0025  0.0823  0.3851  0.0625  0.15
Rabcewiczowa 1932   58  0.4181  0.0061  0.0552  0.0568  0.0457  0.04
Rachmaninoff 1923   15  0.5248  0.0013  0.109  0.5124  0.3211  0.40
Rangell 2001   67  0.3749  0.0067  0.0379  0.0372  0.0488  0.03
Richter 1976   14  0.5382  0.007  0.0913  0.4913  0.487  0.48
Rosen 1989   68  0.3710  0.0071  0.0469  0.0469  0.0463  0.04
Rosenthal 1930   46  0.4422  0.0050  0.0647  0.0628  0.3130  0.14
Rosenthal 1931   86  0.3050  0.0078  0.0383  0.0374  0.0382  0.03
Rosenthal 1931b   85  0.3183  0.0076  0.0470  0.0459  0.0468  0.04
Rosenthal 1931c   64  0.3984  0.0064  0.0468  0.0461  0.0469  0.04
Rosenthal 1931d   81  0.3285  0.0080  0.0377  0.0368  0.0389  0.03
Rossi 2007   88  0.2086  0.0088  0.0473  0.0478  0.0373  0.03
Rubinstein 1939   82  0.3287  0.0086  0.0385  0.0375  0.0476  0.03
Rubinstein 1952   79  0.329  0.0085  0.0287  0.0280  0.0490  0.03
Rubinstein 1966   72  0.3451  0.0083  0.0380  0.0385  0.0383  0.03
Schilhawsky 1960   4  0.5823  0.003  0.314  0.5910  0.542  0.56
Shebanova 2002   52  0.422  0.0060  0.0562  0.0572  0.0461  0.04
Smith 1975   45  0.4488  0.0048  0.0649  0.0660  0.0451  0.05
Sokolov 2002   6  0.5689  0.006  0.148  0.5311  0.464  0.49
Sztompka 1959   23  0.5090  0.0028  0.0724  0.3448  0.0726  0.15
Tomsic 1995   37  0.4611  0.0055  0.0650  0.0656  0.0648  0.06
Uninsky 1932   19  0.5252  0.0017  0.0817  0.4424  0.3712  0.40
Uninsky 1971   3  0.6024  0.004  0.315  0.5614  0.463  0.51
Wasowski 1980   49  0.4312  0.0045  0.0645  0.1177  0.0445  0.07
Zak 1937   21  0.5153  0.0033  0.0630  0.2876  0.0437  0.11
Zak 1951   17  0.5254  0.0024  0.0921  0.3967  0.0435  0.12
Average   2  0.6655  0.002  0.282  0.7150  0.0619  0.21
Random 1   90  -0.0332  0.0090  0.0190  0.0114  0.3649  0.06
Random 2   89  -0.0291  0.0089  0.0189  0.0129  0.2452  0.05
Random 3   91  -0.0333  0.0091  0.0191  0.0152  0.0491  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).