Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   27  0.5982  0.0033  0.0733  0.3033  0.3234  0.31
Anderszewski 2003   47  0.5346  0.0039  0.0843  0.1828  0.2740  0.22
Ashkenazy 1981   57  0.4969  0.0060  0.0478  0.0462  0.0482  0.04
Bacha 2000   73  0.4467  0.0071  0.0562  0.0537  0.2258  0.10
Badura 1965   61  0.4880  0.0063  0.0480  0.0442  0.1960  0.09
Barbosa 1983   60  0.4850  0.0056  0.0561  0.0531  0.2855  0.12
Biret 1990   3  0.691  0.431  0.432  0.741  0.821  0.78
Blet 2003   55  0.4968  0.0065  0.0468  0.0447  0.0579  0.04
Block 1995   34  0.5722  0.0043  0.0942  0.1910  0.4735  0.30
Blumental 1952   62  0.4785  0.0044  0.0844  0.1526  0.2544  0.19
Boshniakovich 1969   14  0.6254  0.0021  0.0726  0.4114  0.4823  0.44
Brailowsky 1960   53  0.5163  0.0069  0.0470  0.0440  0.2259  0.09
Bunin 1987   80  0.4059  0.0084  0.0467  0.0470  0.0483  0.04
Bunin 1987b   81  0.4074  0.0083  0.0565  0.0565  0.0476  0.04
Chiu 1999   59  0.4839  0.0064  0.0475  0.0446  0.0668  0.05
Cohen 1997   78  0.4135  0.0070  0.0469  0.0411  0.4653  0.14
Cortot 1951   36  0.5643  0.0042  0.0838  0.213  0.6932  0.38
Csalog 1996   43  0.5457  0.0050  0.0566  0.057  0.6347  0.18
Czerny 1949   5  0.676  0.035  0.184  0.682  0.743  0.71
Czerny 1990   7  0.6515  0.0113  0.1120  0.4618  0.4124  0.43
Duchoud 2007   67  0.4566  0.0066  0.0476  0.0458  0.0480  0.04
Ezaki 2006   9  0.648  0.0211  0.1314  0.5012  0.5015  0.50
Falvay 1989   18  0.6138  0.0031  0.0729  0.3811  0.5620  0.46
Farrell 1958   37  0.5625  0.0015  0.1017  0.482  0.628  0.55
Ferenczy 1958   44  0.5430  0.0045  0.0563  0.0514  0.4252  0.14
Fliere 1977   4  0.6824  0.006  0.187  0.6216  0.497  0.55
Fou 1978   33  0.5755  0.0026  0.0625  0.4218  0.4326  0.42
Francois 1956   20  0.6119  0.0029  0.0627  0.407  0.6118  0.49
Friedman 1923   86  0.3564  0.0079  0.0387  0.0367  0.0586  0.04
Friedman 1923b   84  0.3572  0.0076  0.0477  0.0458  0.0584  0.04
Friedman 1930   77  0.4342  0.0067  0.0564  0.0568  0.0571  0.05
Garcia 2007   79  0.4118  0.0072  0.0557  0.0527  0.2657  0.11
Garcia 2007b   83  0.3716  0.0168  0.0558  0.0523  0.2856  0.12
Gierzod 1998   11  0.6429  0.0012  0.119  0.5421  0.4417  0.49
Gornostaeva 1994   2  0.692  0.154  0.205  0.653  0.714  0.68
Groot 1988   35  0.5626  0.0040  0.0837  0.2233  0.2939  0.25
Harasiewicz 1955   15  0.625  0.057  0.206  0.6213  0.4711  0.54
Hatto 1993   72  0.4456  0.0058  0.0650  0.0659  0.0574  0.05
Hatto 1997   58  0.4931  0.0034  0.0635  0.2332  0.1843  0.20
Horowitz 1949   66  0.4684  0.0078  0.0385  0.0348  0.0577  0.04
Indjic 1988   69  0.4570  0.0057  0.0654  0.0647  0.0765  0.06
Kapell 1951   21  0.6151  0.0027  0.0721  0.4616  0.3927  0.42
Kissin 1993   22  0.6040  0.0032  0.1032  0.3328  0.3233  0.32
Kushner 1989   8  0.6410  0.0110  0.1411  0.5211  0.5213  0.52
Luisada 1991   41  0.5571  0.0036  0.0540  0.2030  0.3438  0.26
Lushtak 2004   39  0.5665  0.0025  0.1122  0.4519  0.4721  0.46
Malcuzynski 1961   30  0.5820  0.0038  0.0734  0.2519  0.3337  0.29
Magaloff 1978   13  0.6212  0.0119  0.0730  0.3713  0.4329  0.40
Magin 1975   56  0.4947  0.0061  0.0479  0.0459  0.0475  0.04
Michalowski 1933   71  0.4473  0.0074  0.0653  0.0647  0.0863  0.07
Milkina 1970   6  0.653  0.083  0.243  0.694  0.645  0.66
Mohovich 1999   19  0.6160  0.0016  0.0712  0.5213  0.5710  0.54
Moravec 1969   38  0.5683  0.0051  0.0560  0.0513  0.4448  0.15
Morozova 2008   46  0.5333  0.0037  0.0639  0.2030  0.2342  0.21
Neighaus 1950   25  0.6017  0.0117  0.0723  0.4422  0.3331  0.38
Niedzielski 1931   76  0.4332  0.0080  0.0482  0.0464  0.0387  0.03
Ohlsson 1999   26  0.5913  0.0128  0.0724  0.4322  0.4128  0.42
Osinska 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Pachmann 1927   75  0.4334  0.0081  0.0384  0.0339  0.1762  0.07
Paderewski 1930   54  0.5161  0.0047  0.0649  0.0620  0.3151  0.14
Perlemuter 1992   40  0.5576  0.0052  0.0555  0.0528  0.2854  0.12
Pierdomenico 2008   49  0.5337  0.0046  0.0651  0.066  0.5246  0.18
Poblocka 1999   17  0.6245  0.0018  0.1118  0.4815  0.4322  0.45
Rabcewiczowa 1932   24  0.6023  0.0030  0.0731  0.347  0.5125  0.42
Rachmaninoff 1923   65  0.4677  0.0055  0.0652  0.0660  0.0569  0.05
Rangell 2001   52  0.5228  0.0035  0.0641  0.1910  0.4736  0.30
Richter 1976   64  0.4636  0.0077  0.0386  0.0375  0.0388  0.03
Rosen 1989   1  0.704  0.062  0.361  0.762  0.772  0.76
Rosenthal 1930   74  0.4489  0.0082  0.0473  0.0464  0.0581  0.04
Rosenthal 1931   85  0.3578  0.0086  0.0483  0.0462  0.0478  0.04
Rosenthal 1931b   87  0.3590  0.0087  0.0474  0.0456  0.0485  0.04
Rosenthal 1931c   68  0.4548  0.0075  0.0472  0.0441  0.1761  0.08
Rosenthal 1931d   82  0.3879  0.0085  0.0481  0.0450  0.0673  0.05
Rossi 2007   48  0.5327  0.0049  0.0471  0.041  0.7745  0.18
Rubinstein 1939   70  0.4475  0.0062  0.0559  0.0511  0.4449  0.15
Rubinstein 1952   32  0.5811  0.0120  0.0715  0.499  0.6012  0.54
Rubinstein 1966   16  0.629  0.028  0.198  0.567  0.656  0.60
Schilhawsky 1960   51  0.5258  0.0059  0.0556  0.0557  0.0570  0.05
Shebanova 2002   23  0.6014  0.0122  0.0728  0.3925  0.4230  0.40
Smith 1975   10  0.647  0.029  0.1310  0.528  0.5014  0.51
Sokolov 2002   50  0.5241  0.0054  0.0647  0.0660  0.0567  0.05
Sztompka 1959   31  0.5844  0.0041  0.0836  0.2231  0.2041  0.21
Tomsic 1995   45  0.5452  0.0053  0.0745  0.0719  0.3350  0.15
Uninsky 1932   63  0.4762  0.0073  0.0746  0.0762  0.0566  0.06
Uninsky 1971   42  0.5481  0.0048  0.0648  0.0656  0.0664  0.06
Wasowski 1980   12  0.6221  0.0014  0.1316  0.482  0.619  0.54
Zak 1937   28  0.5949  0.0023  0.0719  0.4713  0.5316  0.50
Zak 1951   29  0.5853  0.0024  0.1113  0.5015  0.4619  0.48
Random 1   90  -0.0886  0.0090  0.0190  0.0179  0.0290  0.01
Random 2   88  -0.0387  0.0088  0.0288  0.0243  0.1272  0.05
Random 3   89  -0.0588  0.0089  0.0289  0.0263  0.0389  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).