Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.6149  0.0014  0.0914  0.4418  0.4919  0.46
Anderszewski 2003   15  0.6135  0.0022  0.0827  0.359  0.5124  0.42
Ashkenazy 1981   3  0.684  0.072  0.192  0.645  0.633  0.63
Bacha 2000   46  0.5280  0.0053  0.0461  0.049  0.5344  0.15
Badura 1965   50  0.5166  0.0038  0.0737  0.209  0.5332  0.33
Barbosa 1983   62  0.4831  0.0042  0.0540  0.1319  0.3937  0.23
Biret 1990   9  0.6267  0.0017  0.0816  0.445  0.5913  0.51
Blet 2003   51  0.5169  0.0064  0.0554  0.0534  0.1565  0.09
Block 1995   78  0.4176  0.0075  0.0380  0.0362  0.0488  0.03
Blumental 1952   79  0.4182  0.0078  0.0381  0.0351  0.0582  0.04
Boshniakovich 1969   34  0.5656  0.0047  0.0746  0.0737  0.1855  0.11
Brailowsky 1960   57  0.4977  0.0067  0.0474  0.0461  0.0577  0.04
Bunin 1987   53  0.5038  0.0059  0.0465  0.0425  0.3358  0.11
Bunin 1987b   55  0.4960  0.0058  0.0463  0.0425  0.3354  0.11
Chiu 1999   43  0.5445  0.0024  0.0825  0.366  0.6316  0.48
Cohen 1997   81  0.4042  0.0073  0.0386  0.0316  0.4257  0.11
Cortot 1951   70  0.4573  0.0079  0.0477  0.0431  0.2068  0.09
Csalog 1996   71  0.4529  0.0039  0.0543  0.1115  0.4938  0.23
Czerny 1949   37  0.5681  0.0037  0.0635  0.2328  0.3035  0.26
Czerny 1990   22  0.5912  0.0140  0.0539  0.1644  0.1149  0.13
Duchoud 2007   2  0.682  0.123  0.263  0.631  0.782  0.70
Ezaki 2006   13  0.6147  0.0028  0.0924  0.3619  0.4225  0.39
Falvay 1989   59  0.4852  0.0055  0.0466  0.0463  0.0578  0.04
Farrell 1958   39  0.5537  0.0062  0.0556  0.0531  0.2353  0.11
Ferenczy 1958   80  0.4189  0.0081  0.0475  0.0446  0.0675  0.05
Fliere 1977   4  0.6854  0.006  0.196  0.5715  0.537  0.55
Fou 1978   45  0.5330  0.0027  0.0834  0.3034  0.2334  0.26
Francois 1956   42  0.5440  0.0043  0.0741  0.1330  0.3639  0.22
Friedman 1923   76  0.4285  0.0071  0.0468  0.0425  0.3160  0.11
Friedman 1923b   74  0.4275  0.0070  0.0476  0.0423  0.3259  0.11
Friedman 1930   65  0.4728  0.0050  0.0557  0.0526  0.3151  0.12
Garcia 2007   83  0.3871  0.0077  0.0384  0.0335  0.2070  0.08
Garcia 2007b   82  0.3970  0.0074  0.0383  0.0335  0.1373  0.06
Gierzod 1998   7  0.6614  0.015  0.134  0.594  0.585  0.58
Gornostaeva 1994   32  0.5623  0.0048  0.0469  0.0438  0.1871  0.08
Groot 1988   56  0.4955  0.0057  0.0648  0.0670  0.0476  0.05
Harasiewicz 1955   47  0.5233  0.0032  0.0933  0.3043  0.1440  0.20
Hatto 1993   18  0.6022  0.009  0.1410  0.505  0.609  0.55
Hatto 1997   11  0.6163  0.0010  0.128  0.534  0.5312  0.53
Horowitz 1949   67  0.4783  0.0069  0.0471  0.0437  0.2763  0.10
Indjic 1988   16  0.6118  0.018  0.137  0.535  0.634  0.58
Kapell 1951   26  0.5853  0.0035  0.0728  0.3423  0.3730  0.35
Kissin 1993   30  0.5721  0.0120  0.0819  0.4323  0.4223  0.42
Kushner 1989   8  0.6432  0.0021  0.0721  0.4213  0.4920  0.45
Luisada 1991   23  0.5965  0.0018  0.0818  0.4313  0.5315  0.48
Lushtak 2004   21  0.599  0.0411  0.139  0.524  0.598  0.55
Malcuzynski 1961   38  0.5562  0.0061  0.0555  0.0558  0.0479  0.04
Magaloff 1978   25  0.5810  0.0330  0.0838  0.1936  0.1741  0.18
Magin 1975   17  0.607  0.0512  0.1411  0.506  0.5910  0.54
Michalowski 1933   63  0.4836  0.0045  0.0549  0.0511  0.4545  0.15
Milkina 1970   27  0.5843  0.0026  0.0826  0.3625  0.4029  0.38
Mohovich 1999   40  0.5425  0.0052  0.0553  0.0541  0.1667  0.09
Moravec 1969   75  0.4261  0.0076  0.0467  0.0477  0.0386  0.03
Morozova 2008   33  0.5641  0.0031  0.0731  0.3016  0.3831  0.34
Neighaus 1950   6  0.678  0.047  0.155  0.576  0.576  0.57
Niedzielski 1931   52  0.5019  0.0163  0.0558  0.0520  0.3947  0.14
Ohlsson 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Osinska 1989   20  0.5913  0.0129  0.0922  0.4124  0.4322  0.42
Pachmann 1927   72  0.4344  0.0072  0.0385  0.0328  0.3364  0.10
Paderewski 1930   66  0.4778  0.0080  0.0552  0.0542  0.1072  0.07
Perlemuter 1992   64  0.4758  0.0065  0.0551  0.0544  0.1269  0.08
Pierdomenico 2008   58  0.4846  0.0051  0.0462  0.047  0.5046  0.14
Poblocka 1999   14  0.6151  0.0013  0.1413  0.486  0.5214  0.50
Rabcewiczowa 1932   61  0.4839  0.0068  0.0473  0.0450  0.0674  0.05
Rachmaninoff 1923   49  0.5124  0.0046  0.0550  0.0532  0.2061  0.10
Rangell 2001   44  0.5426  0.0049  0.0470  0.0412  0.4550  0.13
Richter 1976   60  0.4850  0.0066  0.0845  0.0824  0.3743  0.17
Rosen 1989   12  0.6115  0.0123  0.0717  0.4414  0.4721  0.45
Rosenthal 1930   73  0.4384  0.0082  0.0472  0.0459  0.0581  0.04
Rosenthal 1931   85  0.3368  0.0086  0.0479  0.0448  0.0580  0.04
Rosenthal 1931b   86  0.3288  0.0087  0.0478  0.0459  0.0484  0.04
Rosenthal 1931c   77  0.4257  0.0083  0.0559  0.0554  0.0485  0.04
Rosenthal 1931d   84  0.3490  0.0085  0.0387  0.0365  0.0489  0.03
Rossi 2007   87  0.2986  0.0084  0.0382  0.0382  0.0387  0.03
Rubinstein 1939   68  0.4748  0.0060  0.0460  0.0426  0.2952  0.11
Rubinstein 1952   54  0.496  0.0516  0.0936  0.2028  0.3336  0.26
Rubinstein 1966   36  0.5616  0.0156  0.0647  0.0643  0.1566  0.09
Schilhawsky 1960   35  0.5664  0.0033  0.0729  0.3117  0.5028  0.39
Shebanova 2002   1  0.681  0.291  0.291  0.714  0.711  0.71
Smith 1975   29  0.5759  0.0041  0.0642  0.1334  0.2142  0.17
Sokolov 2002   5  0.673  0.084  0.1212  0.491  0.5811  0.53
Sztompka 1959   19  0.6034  0.0034  0.0730  0.3027  0.2733  0.28
Tomsic 1995   48  0.5127  0.0054  0.0464  0.0432  0.2662  0.10
Uninsky 1932   69  0.4674  0.0044  0.0544  0.1039  0.2148  0.14
Uninsky 1971   41  0.545  0.0515  0.0923  0.3719  0.4127  0.39
Wasowski 1980   31  0.5720  0.0136  0.0932  0.307  0.5226  0.39
Zak 1937   24  0.5817  0.0125  0.0720  0.4311  0.5417  0.48
Zak 1951   28  0.5711  0.0119  0.0715  0.4412  0.4818  0.46
Random 1   90  -0.0679  0.0090  0.0190  0.0138  0.1383  0.04
Random 2   89  -0.0487  0.0089  0.0189  0.0159  0.0490  0.02
Random 3   88  0.0472  0.0088  0.0288  0.021  0.5856  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).