Ashkenazy 1981

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   16  0.7228  0.0028  0.1016  0.3741  0.2031  0.27
Anderszewski 2003   33  0.6724  0.0126  0.0827  0.2625  0.2633  0.26
Ashkenazy 1981   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bacha 2000   36  0.6771  0.0048  0.0456  0.0419  0.3048  0.11
Badura 1965   31  0.6861  0.0041  0.0541  0.1322  0.4736  0.25
Barbosa 1983   58  0.5748  0.0068  0.0381  0.0353  0.0573  0.04
Biret 1990   35  0.6766  0.0050  0.0472  0.0437  0.1557  0.08
Blet 2003   74  0.4875  0.0076  0.0468  0.0468  0.0475  0.04
Block 1995   72  0.4976  0.0061  0.0551  0.0537  0.1356  0.08
Blumental 1952   25  0.6920  0.0146  0.0459  0.0454  0.0578  0.04
Boshniakovich 1969   42  0.6549  0.0038  0.0637  0.1831  0.3137  0.24
Brailowsky 1960   55  0.5968  0.0063  0.0549  0.0534  0.2150  0.10
Bunin 1987   61  0.5525  0.0058  0.0457  0.0414  0.4644  0.14
Bunin 1987b   62  0.5469  0.0059  0.0746  0.0714  0.4640  0.18
Chiu 1999   21  0.7050  0.0032  0.0532  0.2210  0.3825  0.29
Cohen 1997   75  0.4746  0.0087  0.0384  0.0359  0.0486  0.03
Cortot 1951   48  0.6253  0.0040  0.0539  0.1516  0.4534  0.26
Csalog 1996   88  0.3183  0.0077  0.0473  0.0457  0.0474  0.04
Czerny 1949   43  0.6441  0.0016  0.0820  0.3331  0.3813  0.35
Czerny 1990   45  0.6484  0.0054  0.0454  0.0471  0.0387  0.03
Duchoud 2007   15  0.733  0.125  0.1118  0.333  0.559  0.43
Ezaki 2006   6  0.7790  0.0014  0.1121  0.3122  0.3715  0.34
Falvay 1989   77  0.4265  0.0088  0.0467  0.0452  0.0761  0.05
Farrell 1958   39  0.6626  0.0047  0.0465  0.0457  0.0570  0.04
Ferenczy 1958   71  0.5062  0.0064  0.0461  0.0461  0.0477  0.04
Fliere 1977   20  0.7140  0.0013  0.1011  0.4625  0.2812  0.36
Fou 1978   12  0.758  0.0322  0.0822  0.3027  0.2530  0.27
Francois 1956   68  0.5260  0.0069  0.0462  0.0449  0.0579  0.04
Friedman 1923   19  0.7127  0.0030  0.0826  0.2726  0.4218  0.34
Friedman 1923b   18  0.7238  0.0029  0.0824  0.2926  0.4314  0.35
Friedman 1930   22  0.7077  0.0033  0.0635  0.2023  0.4326  0.29
Garcia 2007   27  0.6878  0.0051  0.0474  0.0448  0.0762  0.05
Garcia 2007b   34  0.6772  0.0042  0.0542  0.1233  0.2542  0.17
Gierzod 1998   37  0.6631  0.0035  0.0628  0.2448  0.0745  0.13
Gornostaeva 1994   60  0.5588  0.0062  0.0552  0.0549  0.0664  0.05
Groot 1988   50  0.6135  0.0023  0.0738  0.1538  0.2241  0.18
Harasiewicz 1955   14  0.7367  0.0011  0.089  0.4718  0.3811  0.42
Hatto 1993   9  0.7659  0.0020  0.1217  0.3628  0.2821  0.32
Hatto 1997   8  0.7619  0.0118  0.0815  0.3828  0.3017  0.34
Horowitz 1949   30  0.6833  0.0034  0.0534  0.2117  0.4722  0.31
Indjic 1988   7  0.7673  0.0019  0.0914  0.3828  0.2919  0.33
Kapell 1951   52  0.616  0.0510  0.0813  0.4023  0.2027  0.28
Kissin 1993   38  0.6634  0.0027  0.0823  0.2932  0.2135  0.25
Kushner 1989   28  0.6870  0.0036  0.0531  0.2329  0.3032  0.26
Luisada 1991   11  0.7515  0.0121  0.0819  0.3319  0.3220  0.32
Lushtak 2004   23  0.6921  0.0143  0.0543  0.1034  0.1746  0.13
Malcuzynski 1961   79  0.4130  0.0074  0.0463  0.0453  0.0572  0.04
Magaloff 1978   69  0.5287  0.0072  0.0377  0.0368  0.0482  0.03
Magin 1975   13  0.751  0.151  0.152  0.624  0.561  0.59
Michalowski 1933   54  0.6016  0.0117  0.0829  0.2414  0.4716  0.34
Milkina 1970   53  0.6056  0.0060  0.0460  0.0461  0.0471  0.04
Mohovich 1999   41  0.6663  0.0049  0.0375  0.0350  0.0763  0.05
Moravec 1969   81  0.3951  0.0082  0.0288  0.0264  0.0480  0.03
Morozova 2008   3  0.784  0.103  0.224  0.545  0.553  0.54
Neighaus 1950   24  0.6910  0.027  0.1110  0.4722  0.3910  0.43
Niedzielski 1931   65  0.5237  0.0056  0.0648  0.0637  0.2249  0.11
Ohlsson 1999   10  0.769  0.026  0.115  0.5211  0.484  0.50
Osinska 1989   46  0.6489  0.0053  0.0550  0.0575  0.0467  0.04
Pachmann 1927   76  0.4585  0.0078  0.0466  0.0469  0.0385  0.03
Paderewski 1930   63  0.5379  0.0070  0.0379  0.0356  0.0484  0.03
Perlemuter 1992   44  0.6481  0.0057  0.0647  0.0680  0.0366  0.04
Pierdomenico 2008   64  0.5322  0.0166  0.0470  0.0432  0.2551  0.10
Poblocka 1999   66  0.5212  0.0131  0.0725  0.2831  0.2728  0.27
Rabcewiczowa 1932   59  0.5732  0.0065  0.0464  0.0466  0.0469  0.04
Rachmaninoff 1923   17  0.727  0.0415  0.096  0.487  0.465  0.47
Rangell 2001   78  0.4182  0.0073  0.0378  0.0331  0.2554  0.09
Richter 1976   70  0.5217  0.0155  0.0455  0.0435  0.3647  0.12
Rosen 1989   47  0.6436  0.0045  0.0445  0.0840  0.1152  0.09
Rosenthal 1930   83  0.3964  0.0075  0.0458  0.0441  0.1059  0.06
Rosenthal 1931   84  0.3829  0.0079  0.0469  0.0441  0.1555  0.08
Rosenthal 1931b   85  0.3857  0.0080  0.0380  0.0343  0.1065  0.05
Rosenthal 1931c   87  0.3342  0.0085  0.0382  0.0364  0.0489  0.03
Rosenthal 1931d   86  0.3752  0.0084  0.0287  0.0257  0.0588  0.03
Rossi 2007   73  0.4954  0.0086  0.0383  0.0377  0.0381  0.03
Rubinstein 1939   57  0.5744  0.0067  0.0376  0.0348  0.0668  0.04
Rubinstein 1952   80  0.4147  0.0081  0.0285  0.0273  0.0490  0.03
Rubinstein 1966   51  0.6180  0.0071  0.0471  0.0465  0.0476  0.04
Schilhawsky 1960   56  0.5823  0.0137  0.0540  0.1438  0.2938  0.20
Shebanova 2002   32  0.6743  0.0012  0.0912  0.4336  0.2323  0.31
Smith 1975   26  0.6918  0.0125  0.0830  0.2311  0.3924  0.30
Sokolov 2002   29  0.6813  0.0124  0.0733  0.2115  0.3529  0.27
Sztompka 1959   2  0.795  0.084  0.283  0.619  0.492  0.55
Tomsic 1995   82  0.3955  0.0083  0.0286  0.0272  0.0483  0.03
Uninsky 1932   49  0.6139  0.0039  0.0736  0.1940  0.2139  0.20
Uninsky 1971   67  0.5245  0.0044  0.0544  0.0942  0.2243  0.14
Wasowski 1980   40  0.6658  0.0052  0.0453  0.0453  0.0660  0.05
Zak 1937   4  0.7811  0.028  0.107  0.4813  0.387  0.43
Zak 1951   5  0.7714  0.019  0.118  0.4813  0.388  0.43
Average   1  0.812  0.152  0.201  0.6424  0.306  0.44
Random 1   91  -0.3391  0.0091  0.0191  0.0185  0.0291  0.01
Random 2   89  -0.0186  0.0090  0.0290  0.0229  0.1858  0.06
Random 3   90  -0.0474  0.0089  0.0289  0.0220  0.3853  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).