Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   11  0.605  0.0219  0.0721  0.3628  0.3621  0.36
Anderszewski 2003   40  0.5236  0.0046  0.0749  0.0730  0.2451  0.13
Ashkenazy 1981   30  0.5556  0.0027  0.0632  0.2440  0.1934  0.21
Bacha 2000   37  0.5313  0.0160  0.0655  0.0619  0.4239  0.16
Badura 1965   83  0.3872  0.0079  0.0565  0.0572  0.0482  0.04
Barbosa 1983   52  0.5023  0.0015  0.1018  0.4010  0.5315  0.46
Biret 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Blet 2003   44  0.5162  0.0041  0.0439  0.1619  0.4129  0.26
Block 1995   71  0.4438  0.0073  0.0559  0.0553  0.0574  0.05
Blumental 1952   54  0.5070  0.0049  0.0562  0.0514  0.3452  0.13
Boshniakovich 1969   49  0.5151  0.0062  0.0654  0.0655  0.0575  0.05
Brailowsky 1960   39  0.5245  0.0056  0.0567  0.0527  0.3747  0.14
Bunin 1987   73  0.4279  0.0077  0.0476  0.0457  0.0583  0.04
Bunin 1987b   74  0.4263  0.0078  0.0475  0.0450  0.0579  0.04
Chiu 1999   34  0.5429  0.0021  0.0723  0.3315  0.4818  0.40
Cohen 1997   66  0.4577  0.0068  0.0566  0.057  0.5241  0.16
Cortot 1951   55  0.4931  0.0058  0.0471  0.0415  0.4750  0.14
Csalog 1996   38  0.5333  0.0040  0.0444  0.1214  0.5130  0.25
Czerny 1949   25  0.5632  0.0032  0.0631  0.2530  0.2926  0.27
Czerny 1990   19  0.5744  0.0034  0.0529  0.2750  0.0749  0.14
Duchoud 2007   36  0.5450  0.0051  0.0947  0.0912  0.4733  0.21
Ezaki 2006   7  0.616  0.0110  0.1213  0.5026  0.4016  0.45
Falvay 1989   31  0.5514  0.0030  0.0830  0.2524  0.4022  0.32
Farrell 1958   3  0.6317  0.007  0.163  0.642  0.692  0.66
Ferenczy 1958   64  0.4680  0.0054  0.0557  0.0528  0.2756  0.12
Fliere 1977   14  0.5837  0.0023  0.0722  0.3553  0.0646  0.14
Fou 1978   29  0.5522  0.0029  0.0725  0.3136  0.2228  0.26
Francois 1956   32  0.5516  0.0016  0.1115  0.449  0.618  0.52
Friedman 1923   88  0.3288  0.0085  0.0285  0.0269  0.0589  0.03
Friedman 1923b   87  0.3283  0.0082  0.0287  0.0256  0.0587  0.03
Friedman 1930   81  0.3942  0.0076  0.0656  0.0667  0.0571  0.05
Garcia 2007   76  0.4121  0.0071  0.0382  0.0326  0.2763  0.09
Garcia 2007b   70  0.4457  0.0067  0.0472  0.0421  0.3458  0.12
Gierzod 1998   43  0.5287  0.0050  0.0651  0.0653  0.0573  0.05
Gornostaeva 1994   16  0.5811  0.0136  0.0733  0.2429  0.3325  0.28
Groot 1988   35  0.5446  0.0053  0.1145  0.1144  0.1061  0.10
Harasiewicz 1955   59  0.4824  0.0022  0.0720  0.3647  0.0743  0.16
Hatto 1993   60  0.4890  0.0039  0.0442  0.1341  0.1257  0.12
Hatto 1997   23  0.564  0.0212  0.1212  0.5110  0.4613  0.48
Horowitz 1949   65  0.4643  0.0075  0.0470  0.0443  0.1365  0.07
Indjic 1988   48  0.5171  0.0020  0.0735  0.1933  0.2035  0.19
Kapell 1951   10  0.6061  0.0013  0.129  0.5415  0.4114  0.47
Kissin 1993   56  0.4978  0.0055  0.0564  0.0556  0.0670  0.05
Kushner 1989   8  0.6118  0.0014  0.1114  0.4825  0.3419  0.40
Luisada 1991   15  0.5815  0.0017  0.1219  0.4019  0.4817  0.44
Lushtak 2004   33  0.5560  0.009  0.1511  0.5315  0.5011  0.51
Malcuzynski 1961   47  0.5181  0.0048  0.0563  0.0565  0.0480  0.04
Magaloff 1978   21  0.5625  0.0035  0.0634  0.2242  0.1436  0.18
Magin 1975   72  0.4352  0.0066  0.0569  0.0564  0.0478  0.04
Michalowski 1933   78  0.4065  0.0069  0.0652  0.0642  0.1959  0.11
Milkina 1970   4  0.633  0.033  0.324  0.648  0.623  0.63
Mohovich 1999   27  0.5654  0.0045  0.0743  0.1344  0.1453  0.13
Moravec 1969   51  0.5147  0.0037  0.0638  0.1616  0.4127  0.26
Morozova 2008   53  0.5073  0.0044  0.0741  0.1561  0.0562  0.09
Neighaus 1950   20  0.5726  0.0025  0.0727  0.2949  0.0654  0.13
Niedzielski 1931   75  0.4158  0.0074  0.0384  0.0373  0.0384  0.03
Ohlsson 1999   5  0.6210  0.016  0.126  0.5917  0.4410  0.51
Osinska 1989   2  0.692  0.222  0.552  0.823  0.741  0.78
Pachmann 1927   82  0.3848  0.0084  0.0286  0.0257  0.0586  0.03
Paderewski 1930   69  0.4455  0.0070  0.0481  0.0440  0.1366  0.07
Perlemuter 1992   67  0.4576  0.0065  0.0479  0.0455  0.0577  0.04
Pierdomenico 2008   63  0.4675  0.0061  0.0558  0.0514  0.4544  0.15
Poblocka 1999   26  0.5664  0.0026  0.1024  0.3236  0.2424  0.28
Rabcewiczowa 1932   6  0.618  0.015  0.137  0.573  0.604  0.58
Rachmaninoff 1923   41  0.5227  0.0031  0.0828  0.2732  0.2032  0.23
Rangell 2001   42  0.529  0.0138  0.0548  0.0820  0.3442  0.16
Richter 1976   85  0.3684  0.0083  0.0289  0.0272  0.0485  0.03
Rosen 1989   18  0.5774  0.0028  0.0726  0.3027  0.3323  0.31
Rosenthal 1930   68  0.4549  0.0080  0.0561  0.0548  0.0768  0.06
Rosenthal 1931   86  0.3489  0.0088  0.0477  0.0461  0.0481  0.04
Rosenthal 1931b   84  0.3767  0.0087  0.0474  0.0450  0.0676  0.05
Rosenthal 1931c   80  0.4085  0.0086  0.0383  0.0373  0.0388  0.03
Rosenthal 1931d   77  0.4168  0.0081  0.0478  0.0432  0.2460  0.10
Rossi 2007   79  0.4040  0.0072  0.0473  0.048  0.5148  0.14
Rubinstein 1939   57  0.4959  0.0057  0.0653  0.0613  0.4440  0.16
Rubinstein 1952   50  0.5128  0.0047  0.0750  0.0723  0.4038  0.17
Rubinstein 1966   22  0.5666  0.0042  0.0537  0.1727  0.3831  0.25
Schilhawsky 1960   61  0.4820  0.0052  0.0946  0.0943  0.1555  0.12
Shebanova 2002   28  0.5534  0.0043  0.0636  0.1838  0.1737  0.17
Smith 1975   13  0.587  0.0111  0.1510  0.5411  0.499  0.51
Sokolov 2002   9  0.6012  0.0124  0.0817  0.4020  0.3920  0.39
Sztompka 1959   46  0.5169  0.0059  0.0560  0.0549  0.0767  0.06
Tomsic 1995   58  0.4953  0.0063  0.0568  0.0550  0.0669  0.05
Uninsky 1932   62  0.4739  0.0064  0.0480  0.0452  0.0672  0.05
Uninsky 1971   45  0.5119  0.0033  0.0640  0.1540  0.1545  0.15
Wasowski 1980   24  0.5635  0.0018  0.0816  0.434  0.5412  0.48
Zak 1937   12  0.5930  0.008  0.128  0.5711  0.546  0.55
Zak 1951   17  0.5741  0.004  0.135  0.6011  0.497  0.54
Average   1  0.751  0.561  0.551  0.8931  0.375  0.57
Random 1   91  -0.0582  0.0091  0.0191  0.0151  0.0490  0.02
Random 2   89  0.0186  0.0089  0.0288  0.0218  0.3564  0.08
Random 3   90  -0.0291  0.0090  0.0190  0.0149  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).