Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   24  0.4748  0.0031  0.0729  0.2785  0.0336  0.09
Anderszewski 2003   37  0.4544  0.0035  0.0633  0.1968  0.0337  0.08
Ashkenazy 1981   29  0.4677  0.0021  0.0919  0.4057  0.0425  0.13
Bacha 2000   64  0.3839  0.0071  0.0463  0.0469  0.0459  0.04
Badura 1965   56  0.3917  0.0147  0.0559  0.0574  0.0470  0.04
Barbosa 1983   65  0.3771  0.0063  0.0473  0.0475  0.0467  0.04
Biret 1990   16  0.4922  0.0023  0.0914  0.4770  0.0424  0.14
Blet 2003   46  0.4253  0.0059  0.0462  0.0458  0.0568  0.04
Block 1995   40  0.4446  0.0039  0.0540  0.1457  0.0444  0.07
Blumental 1952   25  0.4719  0.0013  0.118  0.5725  0.269  0.38
Boshniakovich 1969   34  0.4552  0.0043  0.0542  0.1358  0.0541  0.08
Brailowsky 1960   60  0.3860  0.0076  0.0383  0.0382  0.0377  0.03
Bunin 1987   55  0.3985  0.0058  0.0460  0.0455  0.0571  0.04
Bunin 1987b   62  0.3888  0.0060  0.0648  0.0654  0.0550  0.05
Chiu 1999   76  0.3359  0.0077  0.0380  0.0384  0.0378  0.03
Cohen 1997   81  0.3234  0.0074  0.0465  0.0447  0.0657  0.05
Cortot 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Csalog 1996   83  0.3263  0.0081  0.0381  0.0387  0.0385  0.03
Czerny 1949   2  0.583  0.102  0.271  0.7518  0.461  0.59
Czerny 1990   23  0.4762  0.0029  0.0625  0.3385  0.0334  0.10
Duchoud 2007   51  0.4145  0.0057  0.0553  0.0545  0.0848  0.06
Ezaki 2006   11  0.519  0.0120  0.0824  0.3451  0.0620  0.14
Falvay 1989   71  0.3547  0.0084  0.0475  0.0478  0.0461  0.04
Farrell 1958   9  0.526  0.029  0.166  0.6121  0.343  0.46
Ferenczy 1958   13  0.5012  0.0112  0.1216  0.448  0.474  0.45
Fliere 1977   14  0.5068  0.0030  0.0726  0.3157  0.0527  0.12
Fou 1978   63  0.3850  0.0072  0.0550  0.0586  0.0363  0.04
Francois 1956   45  0.4249  0.0053  0.0557  0.0570  0.0374  0.04
Friedman 1923   75  0.3361  0.0065  0.0746  0.0746  0.0747  0.07
Friedman 1923b   79  0.3279  0.0064  0.0461  0.0448  0.0658  0.05
Friedman 1930   73  0.3483  0.0068  0.0382  0.0346  0.0753  0.05
Garcia 2007   66  0.3769  0.0054  0.0467  0.0448  0.0655  0.05
Garcia 2007b   86  0.2929  0.0062  0.0551  0.0580  0.0375  0.04
Gierzod 1998   20  0.4870  0.0026  0.0928  0.2769  0.0433  0.10
Gornostaeva 1994   21  0.4811  0.0141  0.0738  0.1673  0.0345  0.07
Groot 1988   50  0.4167  0.0040  0.0739  0.1578  0.0346  0.07
Harasiewicz 1955   31  0.4621  0.0015  0.1113  0.4771  0.0331  0.12
Hatto 1993   67  0.3686  0.0055  0.0555  0.0572  0.0472  0.04
Hatto 1997   52  0.4089  0.0025  0.0930  0.2345  0.0823  0.14
Horowitz 1949   61  0.3884  0.0070  0.0464  0.0476  0.0382  0.03
Indjic 1988   69  0.3590  0.0056  0.0649  0.0674  0.0452  0.05
Kapell 1951   5  0.544  0.043  0.307  0.5927  0.326  0.43
Kissin 1993   42  0.4372  0.0052  0.0469  0.0480  0.0383  0.03
Kushner 1989   26  0.4732  0.0045  0.0747  0.0779  0.0349  0.05
Luisada 1991   68  0.3520  0.0078  0.0386  0.0370  0.0476  0.03
Lushtak 2004   33  0.4564  0.0019  0.0727  0.3062  0.0529  0.12
Malcuzynski 1961   6  0.532  0.164  0.2011  0.5559  0.0419  0.15
Magaloff 1978   36  0.4514  0.0136  0.0536  0.1783  0.0342  0.07
Magin 1975   70  0.3580  0.0079  0.0470  0.0478  0.0380  0.03
Michalowski 1933   59  0.3987  0.0033  0.0734  0.1843  0.1816  0.18
Milkina 1970   44  0.4375  0.0048  0.0554  0.0582  0.0365  0.04
Mohovich 1999   53  0.4073  0.0050  0.0471  0.0487  0.0286  0.03
Moravec 1969   28  0.4627  0.0027  0.0723  0.3661  0.0426  0.12
Morozova 2008   35  0.4554  0.0038  0.0535  0.1877  0.0438  0.08
Neighaus 1950   15  0.5023  0.0014  0.1417  0.4351  0.0618  0.16
Niedzielski 1931   49  0.4124  0.0042  0.0543  0.1255  0.0443  0.07
Ohlsson 1999   32  0.4558  0.0032  0.0631  0.2077  0.0435  0.09
Osinska 1989   3  0.5625  0.007  0.183  0.6938  0.218  0.38
Pachmann 1927   87  0.2182  0.0087  0.0287  0.0287  0.0290  0.02
Paderewski 1930   22  0.4816  0.0118  0.0822  0.3612  0.3511  0.35
Perlemuter 1992   57  0.3974  0.0061  0.0556  0.0587  0.0360  0.04
Pierdomenico 2008   74  0.3313  0.0173  0.0558  0.0574  0.0462  0.04
Poblocka 1999   7  0.5315  0.015  0.1412  0.4936  0.2212  0.33
Rabcewiczowa 1932   17  0.4942  0.0022  0.0815  0.4634  0.2013  0.30
Rachmaninoff 1923   41  0.4435  0.0016  0.1021  0.3774  0.0428  0.12
Rangell 2001   47  0.425  0.0234  0.0741  0.1442  0.1130  0.12
Richter 1976   39  0.4440  0.0051  0.0472  0.0448  0.0651  0.05
Rosen 1989   38  0.4437  0.0046  0.0745  0.0778  0.0356  0.05
Rosenthal 1930   30  0.4626  0.0044  0.0644  0.1134  0.2217  0.16
Rosenthal 1931   80  0.3276  0.0082  0.0378  0.0371  0.0384  0.03
Rosenthal 1931b   85  0.3036  0.0086  0.0466  0.0475  0.0388  0.03
Rosenthal 1931c   43  0.4310  0.0149  0.0552  0.0563  0.0473  0.04
Rosenthal 1931d   82  0.3257  0.0085  0.0476  0.0473  0.0387  0.03
Rossi 2007   72  0.3418  0.0028  0.0832  0.1935  0.1915  0.19
Rubinstein 1939   78  0.3281  0.0080  0.0384  0.0371  0.0479  0.03
Rubinstein 1952   84  0.3166  0.0083  0.0379  0.0386  0.0389  0.03
Rubinstein 1966   48  0.4151  0.0066  0.0468  0.0468  0.0469  0.04
Schilhawsky 1960   8  0.5356  0.008  0.165  0.6232  0.307  0.43
Shebanova 2002   27  0.4630  0.0037  0.0537  0.1677  0.0439  0.08
Smith 1975   12  0.5141  0.0011  0.1510  0.5642  0.1514  0.29
Sokolov 2002   18  0.4938  0.0024  0.1120  0.3857  0.0522  0.14
Sztompka 1959   1  0.601  0.481  0.472  0.7313  0.452  0.57
Tomsic 1995   77  0.3331  0.0075  0.0385  0.0354  0.0666  0.04
Uninsky 1932   10  0.5233  0.0010  0.209  0.5636  0.2410  0.37
Uninsky 1971   4  0.557  0.016  0.244  0.6328  0.315  0.44
Wasowski 1980   19  0.488  0.0117  0.1018  0.4256  0.0521  0.14
Zak 1937   54  0.3955  0.0069  0.0474  0.0476  0.0464  0.04
Zak 1951   58  0.3943  0.0067  0.0377  0.0384  0.0381  0.03
Random 1   88  0.0278  0.0088  0.0189  0.011  0.6440  0.08
Random 2   90  0.0065  0.0090  0.0190  0.0133  0.2154  0.05
Random 3   89  0.0228  0.0089  0.0288  0.022  0.5732  0.11

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).