Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   39  0.4815  0.0027  0.0631  0.2043  0.2135  0.20
Anderszewski 2003   6  0.6110  0.008  0.2612  0.459  0.5511  0.50
Ashkenazy 1981   4  0.6516  0.004  0.214  0.663  0.654  0.65
Bacha 2000   33  0.4911  0.0047  0.0565  0.0514  0.4941  0.16
Badura 1965   53  0.4326  0.0061  0.0847  0.0826  0.3640  0.17
Barbosa 1983   43  0.4612  0.0045  0.0742  0.1331  0.2838  0.19
Biret 1990   22  0.5117  0.0042  0.0533  0.2035  0.1939  0.19
Blet 2003   30  0.5036  0.0044  0.0740  0.1517  0.4229  0.25
Block 1995   83  0.3051  0.0073  0.0384  0.0375  0.0386  0.03
Blumental 1952   15  0.5237  0.0035  0.0443  0.1317  0.3332  0.21
Boshniakovich 1969   52  0.4365  0.0050  0.0749  0.0742  0.1659  0.11
Brailowsky 1960   69  0.3727  0.0082  0.0567  0.0560  0.0567  0.05
Bunin 1987   48  0.4466  0.0062  0.0654  0.0631  0.2749  0.13
Bunin 1987b   51  0.4338  0.0063  0.0846  0.0831  0.2944  0.15
Chiu 1999   19  0.5167  0.0043  0.0638  0.1620  0.4125  0.26
Cohen 1997   68  0.3852  0.0078  0.0477  0.0439  0.2261  0.09
Cortot 1951   73  0.3568  0.0069  0.0475  0.0450  0.0674  0.05
Csalog 1996   77  0.348  0.0065  0.0651  0.0633  0.2651  0.12
Czerny 1949   54  0.4353  0.0054  0.0657  0.0653  0.0665  0.06
Czerny 1990   16  0.5239  0.0028  0.0618  0.3543  0.1137  0.20
Duchoud 2007   26  0.5069  0.0019  0.0822  0.2818  0.4517  0.35
Ezaki 2006   24  0.516  0.0053  0.0656  0.0666  0.0466  0.05
Falvay 1989   66  0.3970  0.0074  0.0479  0.0454  0.0668  0.05
Farrell 1958   56  0.4318  0.0067  0.0655  0.0665  0.0570  0.05
Ferenczy 1958   58  0.4240  0.0064  0.0561  0.0533  0.2455  0.11
Fliere 1977   8  0.5741  0.0010  0.137  0.6027  0.449  0.51
Fou 1978   38  0.4819  0.0026  0.0635  0.1947  0.0750  0.12
Francois 1956   80  0.3254  0.0076  0.0385  0.0382  0.0389  0.03
Friedman 1923   40  0.4871  0.0059  0.0652  0.0622  0.3446  0.14
Friedman 1923b   36  0.4872  0.0058  0.0750  0.0722  0.3642  0.16
Friedman 1930   31  0.4955  0.0036  0.0534  0.1916  0.4622  0.30
Garcia 2007   64  0.397  0.0066  0.0560  0.0529  0.2557  0.11
Garcia 2007b   55  0.434  0.0052  0.0564  0.058  0.5443  0.16
Gierzod 1998   11  0.5556  0.0012  0.189  0.5721  0.478  0.52
Gornostaeva 1994   76  0.3473  0.0080  0.0571  0.0573  0.0380  0.04
Groot 1988   60  0.4213  0.0029  0.0632  0.2046  0.0753  0.12
Harasiewicz 1955   29  0.5057  0.0017  0.1113  0.4236  0.2319  0.31
Hatto 1993   1  0.991  0.981  0.971  1.001  1.001  1.00
Hatto 1997   2  0.972  0.012  0.972  0.991  0.992  0.99
Horowitz 1949   59  0.4214  0.0039  0.0645  0.1134  0.3634  0.20
Indjic 1988   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kapell 1951   23  0.5142  0.0016  0.1415  0.4129  0.3215  0.36
Kissin 1993   42  0.4674  0.0018  0.1023  0.2531  0.2726  0.26
Kushner 1989   32  0.4943  0.0046  0.0563  0.0548  0.0864  0.06
Luisada 1991   5  0.6220  0.006  0.145  0.653  0.653  0.65
Lushtak 2004   14  0.535  0.0040  0.0526  0.2435  0.2130  0.22
Malcuzynski 1961   63  0.409  0.0020  0.0624  0.2438  0.1733  0.20
Magaloff 1978   62  0.4144  0.0025  0.0828  0.2258  0.0460  0.09
Magin 1975   9  0.5628  0.009  0.2510  0.539  0.527  0.52
Michalowski 1933   67  0.3845  0.0056  0.0559  0.0528  0.3548  0.13
Milkina 1970   37  0.4875  0.0024  0.0730  0.2147  0.0847  0.13
Mohovich 1999   57  0.4276  0.0037  0.0536  0.1940  0.2136  0.20
Moravec 1969   72  0.3577  0.0075  0.0387  0.0356  0.0482  0.03
Morozova 2008   13  0.5329  0.0011  0.1325  0.2424  0.2827  0.26
Neighaus 1950   21  0.5178  0.0030  0.0617  0.3536  0.2124  0.27
Niedzielski 1931   61  0.4258  0.0034  0.0741  0.1316  0.4828  0.25
Ohlsson 1999   7  0.6130  0.007  0.166  0.638  0.535  0.58
Osinska 1989   46  0.4531  0.0055  0.0748  0.0755  0.0663  0.06
Pachmann 1927   81  0.3132  0.0083  0.0472  0.0467  0.0479  0.04
Paderewski 1930   70  0.3779  0.0068  0.0653  0.0633  0.2054  0.11
Perlemuter 1992   71  0.3759  0.0071  0.0476  0.0484  0.0383  0.03
Pierdomenico 2008   79  0.3360  0.0070  0.0480  0.0454  0.0669  0.05
Poblocka 1999   35  0.4846  0.0014  0.1316  0.3926  0.3514  0.37
Rabcewiczowa 1932   78  0.3361  0.0077  0.0481  0.0467  0.0477  0.04
Rachmaninoff 1923   45  0.4547  0.0060  0.0558  0.0569  0.0475  0.04
Rangell 2001   84  0.2921  0.0079  0.0473  0.0447  0.0673  0.05
Richter 1976   49  0.4480  0.0049  0.0569  0.0519  0.4245  0.14
Rosen 1989   47  0.4581  0.0038  0.0539  0.1546  0.0858  0.11
Rosenthal 1930   74  0.3582  0.0081  0.0478  0.0452  0.0672  0.05
Rosenthal 1931   86  0.2783  0.0086  0.0386  0.0384  0.0385  0.03
Rosenthal 1931b   85  0.2784  0.0087  0.0474  0.0485  0.0288  0.03
Rosenthal 1931c   82  0.3162  0.0084  0.0570  0.0584  0.0381  0.04
Rosenthal 1931d   87  0.2585  0.0085  0.0383  0.0378  0.0387  0.03
Rossi 2007   88  0.1586  0.0088  0.0482  0.0484  0.0384  0.03
Rubinstein 1939   17  0.5222  0.0033  0.0537  0.177  0.4923  0.29
Rubinstein 1952   75  0.3548  0.0041  0.0544  0.1254  0.0662  0.08
Rubinstein 1966   10  0.5649  0.0022  0.0821  0.3126  0.3916  0.35
Schilhawsky 1960   20  0.5163  0.0015  0.1114  0.4119  0.5013  0.45
Shebanova 2002   12  0.5487  0.005  0.218  0.5814  0.536  0.55
Smith 1975   44  0.4623  0.0057  0.0562  0.0581  0.0376  0.04
Sokolov 2002   27  0.5088  0.0031  0.0527  0.2338  0.1931  0.21
Sztompka 1959   41  0.4724  0.0051  0.0568  0.0556  0.0671  0.05
Tomsic 1995   65  0.3925  0.0072  0.0388  0.0348  0.0678  0.04
Uninsky 1932   50  0.4364  0.0048  0.0566  0.0533  0.2556  0.11
Uninsky 1971   34  0.4933  0.0013  0.1411  0.5015  0.4512  0.47
Wasowski 1980   25  0.5189  0.0032  0.0729  0.2113  0.4420  0.30
Zak 1937   18  0.5290  0.0023  0.0719  0.3329  0.3318  0.33
Zak 1951   28  0.5050  0.0021  0.0820  0.3333  0.2721  0.30
Average   3  0.673  0.003  0.613  0.8435  0.3110  0.51
Random 1   91  -0.0634  0.0091  0.0191  0.0162  0.0390  0.02
Random 2   89  0.0335  0.0089  0.0389  0.035  0.4852  0.12
Random 3   90  -0.0291  0.0090  0.0190  0.0160  0.0391  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).