Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   14  0.6278  0.0024  0.1319  0.4816  0.5019  0.49
Anderszewski 2003   70  0.4582  0.0070  0.0384  0.0365  0.0486  0.03
Ashkenazy 1981   6  0.664  0.036  0.246  0.692  0.705  0.69
Bacha 2000   47  0.5383  0.0053  0.0555  0.057  0.5448  0.16
Badura 1965   65  0.4975  0.0052  0.0653  0.0618  0.4050  0.15
Barbosa 1983   60  0.5046  0.0043  0.0544  0.1025  0.3742  0.19
Biret 1990   34  0.5559  0.0040  0.0638  0.1736  0.1846  0.17
Blet 2003   51  0.5257  0.0068  0.0748  0.0741  0.1260  0.09
Block 1995   44  0.5421  0.0048  0.0569  0.0517  0.4253  0.14
Blumental 1952   59  0.5066  0.0045  0.0545  0.1015  0.3443  0.18
Boshniakovich 1969   15  0.6258  0.0027  0.0928  0.3916  0.4728  0.43
Brailowsky 1960   64  0.4955  0.0071  0.0481  0.0440  0.2259  0.09
Bunin 1987   75  0.4215  0.0176  0.0472  0.0462  0.0579  0.04
Bunin 1987b   76  0.4150  0.0077  0.0473  0.0459  0.0574  0.04
Chiu 1999   16  0.617  0.0112  0.157  0.602  0.776  0.68
Cohen 1997   80  0.4081  0.0079  0.0564  0.0531  0.2558  0.11
Cortot 1951   68  0.4637  0.0078  0.0478  0.0438  0.1663  0.08
Csalog 1996   45  0.5435  0.0033  0.1033  0.277  0.6329  0.41
Czerny 1949   67  0.4770  0.0062  0.0480  0.0458  0.0577  0.04
Czerny 1990   10  0.6411  0.0116  0.0813  0.5320  0.4024  0.46
Duchoud 2007   41  0.5431  0.0032  0.0932  0.294  0.6327  0.43
Ezaki 2006   37  0.5539  0.0056  0.0747  0.0765  0.0467  0.05
Falvay 1989   23  0.5960  0.0038  0.0636  0.1930  0.3438  0.25
Farrell 1958   63  0.4976  0.0072  0.0482  0.0454  0.0668  0.05
Ferenczy 1958   77  0.4187  0.0082  0.0554  0.0560  0.0476  0.04
Fliere 1977   4  0.705  0.024  0.294  0.722  0.702  0.71
Fou 1978   22  0.6043  0.0022  0.0817  0.4815  0.4522  0.46
Francois 1956   61  0.4963  0.0064  0.0386  0.0349  0.0583  0.04
Friedman 1923   84  0.3522  0.0081  0.0568  0.0573  0.0484  0.04
Friedman 1923b   83  0.3542  0.0080  0.0560  0.0546  0.0964  0.07
Friedman 1930   74  0.4240  0.0074  0.0650  0.0672  0.0470  0.05
Garcia 2007   73  0.4467  0.0069  0.0652  0.0612  0.4945  0.17
Garcia 2007b   72  0.4456  0.0057  0.0562  0.056  0.5647  0.17
Gierzod 1998   7  0.6520  0.007  0.178  0.592  0.608  0.59
Gornostaeva 1994   48  0.5368  0.0065  0.0476  0.0456  0.0480  0.04
Groot 1988   26  0.5861  0.0031  0.1130  0.3427  0.3732  0.35
Harasiewicz 1955   54  0.5141  0.0046  0.0477  0.0465  0.0481  0.04
Hatto 1993   42  0.5412  0.019  0.1512  0.558  0.5810  0.56
Hatto 1997   58  0.5065  0.0020  0.0731  0.3226  0.2835  0.30
Horowitz 1949   57  0.5029  0.0059  0.0559  0.0515  0.5544  0.17
Indjic 1988   39  0.546  0.0110  0.2114  0.538  0.5811  0.55
Kapell 1951   38  0.5538  0.0051  0.0556  0.0546  0.0669  0.05
Kissin 1993   2  0.742  0.272  0.502  0.822  0.831  0.82
Kushner 1989   3  0.7119  0.005  0.153  0.722  0.713  0.71
Luisada 1991   21  0.6028  0.0011  0.2016  0.5013  0.5315  0.51
Lushtak 2004   19  0.6033  0.0026  0.0924  0.4613  0.5120  0.48
Malcuzynski 1961   30  0.5716  0.0039  0.0641  0.1248  0.0661  0.08
Magaloff 1978   27  0.5810  0.0134  0.0834  0.2427  0.2737  0.25
Magin 1975   31  0.5753  0.0021  0.0820  0.4811  0.5118  0.49
Michalowski 1933   71  0.4572  0.0058  0.0563  0.0521  0.3752  0.14
Milkina 1970   17  0.6152  0.0023  0.1121  0.4718  0.4425  0.45
Mohovich 1999   32  0.5734  0.0047  0.0474  0.0441  0.1662  0.08
Moravec 1969   55  0.5145  0.0060  0.0571  0.0520  0.3654  0.13
Morozova 2008   28  0.588  0.0114  0.0923  0.4611  0.4526  0.45
Neighaus 1950   9  0.6436  0.0017  0.0710  0.568  0.5412  0.55
Niedzielski 1931   56  0.5018  0.0035  0.0835  0.208  0.5533  0.33
Ohlsson 1999   5  0.683  0.073  0.235  0.712  0.714  0.71
Osinska 1989   20  0.6044  0.0029  0.1026  0.4229  0.3930  0.40
Pachmann 1927   62  0.4924  0.0075  0.0561  0.0518  0.4649  0.15
Paderewski 1930   66  0.4779  0.0055  0.0749  0.0724  0.2851  0.14
Perlemuter 1992   35  0.5548  0.0044  0.0642  0.1214  0.4639  0.23
Pierdomenico 2008   43  0.5462  0.0041  0.0639  0.163  0.6334  0.32
Poblocka 1999   8  0.6526  0.008  0.169  0.566  0.5313  0.54
Rabcewiczowa 1932   69  0.4688  0.0073  0.0565  0.0562  0.0473  0.04
Rachmaninoff 1923   79  0.4184  0.0063  0.0558  0.0582  0.0371  0.04
Rangell 2001   36  0.5513  0.0136  0.0737  0.1815  0.4336  0.28
Richter 1976   40  0.5425  0.0037  0.0643  0.1217  0.4340  0.23
Rosen 1989   11  0.6347  0.0018  0.1118  0.4811  0.5516  0.51
Rosenthal 1930   82  0.3685  0.0084  0.0479  0.0472  0.0387  0.03
Rosenthal 1931   87  0.3089  0.0088  0.0483  0.0460  0.0475  0.04
Rosenthal 1931b   86  0.3180  0.0086  0.0385  0.0377  0.0389  0.03
Rosenthal 1931c   81  0.3871  0.0083  0.0570  0.0579  0.0382  0.04
Rosenthal 1931d   85  0.3191  0.0087  0.0388  0.0376  0.0388  0.03
Rossi 2007   88  0.2954  0.0085  0.0387  0.0382  0.0385  0.03
Rubinstein 1939   78  0.4177  0.0061  0.0475  0.0421  0.3456  0.12
Rubinstein 1952   25  0.5927  0.0030  0.1422  0.479  0.6014  0.53
Rubinstein 1966   24  0.5923  0.0025  0.0925  0.4219  0.5023  0.46
Schilhawsky 1960   50  0.5214  0.0142  0.0440  0.1531  0.3341  0.22
Shebanova 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Smith 1975   53  0.5186  0.0066  0.0557  0.0576  0.0372  0.04
Sokolov 2002   52  0.5251  0.0067  0.0746  0.0754  0.0565  0.06
Sztompka 1959   13  0.6230  0.0015  0.0629  0.3818  0.3931  0.38
Tomsic 1995   33  0.5617  0.0049  0.0566  0.0521  0.3355  0.13
Uninsky 1932   49  0.5373  0.0050  0.0567  0.0529  0.2957  0.12
Uninsky 1971   46  0.5432  0.0054  0.0651  0.0653  0.0666  0.06
Wasowski 1980   29  0.589  0.0128  0.1127  0.409  0.5221  0.46
Zak 1937   12  0.6349  0.0013  0.1411  0.557  0.629  0.58
Zak 1951   18  0.6064  0.0019  0.0815  0.5112  0.4917  0.50
Average   1  0.771  0.451  0.451  0.8520  0.467  0.63
Random 1   90  -0.0490  0.0089  0.0189  0.0135  0.1678  0.04
Random 2   91  -0.0569  0.0091  0.0191  0.0169  0.0291  0.01
Random 3   89  -0.0274  0.0090  0.0190  0.0162  0.0390  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).