Groot 1988

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   17  0.6525  0.0032  0.0633  0.2552  0.0543  0.11
Anderszewski 2003   36  0.6053  0.0039  0.0639  0.2158  0.0447  0.09
Ashkenazy 1981   33  0.6144  0.0034  0.0538  0.2238  0.1528  0.18
Bacha 2000   35  0.6026  0.0044  0.0844  0.1728  0.1829  0.17
Badura 1965   73  0.4648  0.0077  0.0383  0.0351  0.0675  0.04
Barbosa 1983   50  0.5550  0.0033  0.0536  0.2413  0.3622  0.29
Biret 1990   9  0.6754  0.0018  0.0715  0.4128  0.2221  0.30
Blet 2003   58  0.5269  0.0063  0.0470  0.0465  0.0469  0.04
Block 1995   13  0.661  0.191  0.196  0.532  0.535  0.53
Blumental 1952   42  0.5840  0.0050  0.0654  0.0671  0.0463  0.05
Boshniakovich 1969   44  0.5721  0.0156  0.0651  0.0662  0.0564  0.05
Brailowsky 1960   8  0.6852  0.0010  0.1014  0.447  0.527  0.48
Bunin 1987   72  0.4615  0.0175  0.0655  0.0644  0.1349  0.09
Bunin 1987b   74  0.4627  0.0074  0.0468  0.0444  0.1253  0.07
Chiu 1999   24  0.6365  0.0023  0.0720  0.3918  0.2916  0.34
Cohen 1997   84  0.3641  0.0088  0.0379  0.0350  0.0576  0.04
Cortot 1951   34  0.6175  0.0042  0.0641  0.1937  0.1530  0.17
Csalog 1996   79  0.4186  0.0062  0.0474  0.0445  0.0856  0.06
Czerny 1949   68  0.4961  0.0061  0.0652  0.0659  0.0561  0.05
Czerny 1990   41  0.5862  0.0048  0.0747  0.0764  0.0465  0.05
Duchoud 2007   55  0.5483  0.0052  0.0657  0.0617  0.2941  0.13
Ezaki 2006   15  0.6581  0.0025  0.0822  0.3549  0.0538  0.13
Falvay 1989   23  0.6316  0.0136  0.0634  0.256  0.5411  0.37
Farrell 1958   2  0.732  0.143  0.243  0.623  0.591  0.60
Ferenczy 1958   67  0.5029  0.0065  0.0472  0.0459  0.0573  0.04
Fliere 1977   28  0.6239  0.0028  0.0517  0.4057  0.0440  0.13
Fou 1978   18  0.6445  0.0027  0.0725  0.3440  0.1126  0.19
Francois 1956   20  0.646  0.0521  0.0830  0.3021  0.4215  0.35
Friedman 1923   59  0.5284  0.0069  0.0469  0.0457  0.0579  0.04
Friedman 1923b   61  0.5170  0.0068  0.0475  0.0446  0.0857  0.06
Friedman 1930   62  0.5066  0.0076  0.0558  0.0584  0.0371  0.04
Garcia 2007   39  0.5833  0.0049  0.0650  0.0637  0.1944  0.11
Garcia 2007b   52  0.5537  0.0054  0.0656  0.0642  0.1350  0.09
Gierzod 1998   53  0.5457  0.0055  0.0746  0.0774  0.0362  0.05
Gornostaeva 1994   60  0.5276  0.0045  0.0545  0.1041  0.1046  0.10
Groot 1988   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Harasiewicz 1955   37  0.6079  0.0037  0.0532  0.2658  0.0545  0.11
Hatto 1993   69  0.4935  0.0072  0.0649  0.0682  0.0377  0.04
Hatto 1997   64  0.5085  0.0070  0.0563  0.0578  0.0472  0.04
Horowitz 1949   29  0.6247  0.0038  0.0635  0.2451  0.0835  0.14
Indjic 1988   65  0.5087  0.0071  0.0473  0.0481  0.0385  0.03
Kapell 1951   48  0.5642  0.0029  0.0627  0.3346  0.0634  0.14
Kissin 1993   43  0.5790  0.0046  0.0467  0.0468  0.0383  0.03
Kushner 1989   32  0.6138  0.0024  0.0921  0.3737  0.1625  0.24
Luisada 1991   27  0.6278  0.0035  0.0537  0.2447  0.0739  0.13
Lushtak 2004   4  0.7014  0.016  0.134  0.5710  0.358  0.45
Malcuzynski 1961   77  0.4443  0.0073  0.0380  0.0375  0.0380  0.03
Magaloff 1978   31  0.6112  0.0120  0.0724  0.3417  0.3713  0.35
Magin 1975   51  0.5558  0.0040  0.0642  0.1840  0.1531  0.16
Michalowski 1933   81  0.4077  0.0081  0.0387  0.0368  0.0482  0.03
Milkina 1970   21  0.6460  0.0022  0.0726  0.3334  0.2124  0.26
Mohovich 1999   1  0.744  0.112  0.231  0.638  0.562  0.59
Moravec 1969   78  0.4234  0.0082  0.0384  0.0351  0.0566  0.04
Morozova 2008   45  0.5723  0.0147  0.0653  0.0667  0.0460  0.05
Neighaus 1950   12  0.6710  0.0119  0.0718  0.4053  0.0633  0.15
Niedzielski 1931   66  0.5028  0.0060  0.0562  0.0564  0.0467  0.04
Ohlsson 1999   46  0.5646  0.0041  0.0543  0.1737  0.1532  0.16
Osinska 1989   5  0.6924  0.018  0.175  0.5330  0.3010  0.40
Pachmann 1927   70  0.4963  0.0078  0.0478  0.0463  0.0381  0.03
Paderewski 1930   47  0.5655  0.0059  0.0564  0.0543  0.0954  0.07
Perlemuter 1992   6  0.6918  0.0115  0.0910  0.4826  0.2612  0.35
Pierdomenico 2008   25  0.635  0.095  0.1512  0.482  0.584  0.53
Poblocka 1999   76  0.4456  0.0057  0.0561  0.0555  0.0558  0.05
Rabcewiczowa 1932   54  0.5451  0.0058  0.0466  0.0465  0.0468  0.04
Rachmaninoff 1923   14  0.6631  0.0017  0.0816  0.4128  0.2218  0.30
Rangell 2001   63  0.5011  0.019  0.1331  0.268  0.4517  0.34
Richter 1976   80  0.417  0.0367  0.0471  0.0455  0.0659  0.05
Rosen 1989   38  0.5917  0.0130  0.0629  0.3039  0.1227  0.19
Rosenthal 1930   87  0.3364  0.0084  0.0288  0.0281  0.0391  0.02
Rosenthal 1931   85  0.3588  0.0085  0.0381  0.0364  0.0486  0.03
Rosenthal 1931b   83  0.3659  0.0083  0.0386  0.0361  0.0578  0.04
Rosenthal 1931c   88  0.2972  0.0087  0.0385  0.0387  0.0389  0.03
Rosenthal 1931d   86  0.3482  0.0086  0.0382  0.0369  0.0488  0.03
Rossi 2007   57  0.5291  0.0066  0.0565  0.0542  0.1451  0.08
Rubinstein 1939   49  0.5667  0.0051  0.0560  0.0540  0.1452  0.08
Rubinstein 1952   40  0.588  0.0226  0.0723  0.356  0.549  0.43
Rubinstein 1966   11  0.679  0.0111  0.117  0.514  0.536  0.52
Schilhawsky 1960   71  0.4868  0.0064  0.0559  0.0562  0.0470  0.04
Shebanova 2002   10  0.6732  0.0014  0.098  0.5068  0.0437  0.14
Smith 1975   22  0.6436  0.0016  0.0819  0.3919  0.3114  0.35
Sokolov 2002   56  0.5380  0.0053  0.0748  0.0750  0.0555  0.06
Sztompka 1959   26  0.6319  0.0131  0.0628  0.3151  0.0636  0.14
Tomsic 1995   7  0.6822  0.017  0.1213  0.475  0.613  0.54
Uninsky 1932   75  0.4549  0.0080  0.0476  0.0475  0.0474  0.04
Uninsky 1971   82  0.3973  0.0079  0.0477  0.0481  0.0384  0.03
Wasowski 1980   30  0.6120  0.0143  0.0840  0.2154  0.0642  0.11
Zak 1937   16  0.6513  0.0113  0.1711  0.4838  0.1523  0.27
Zak 1951   19  0.6471  0.0012  0.109  0.4937  0.1819  0.30
Average   3  0.723  0.144  0.282  0.6240  0.1520  0.30
Random 1   91  -0.2174  0.0090  0.0190  0.0139  0.1287  0.03
Random 2   90  -0.1389  0.0091  0.0191  0.0180  0.0390  0.02
Random 3   89  0.0030  0.0089  0.0289  0.0214  0.4548  0.09

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).