Osinska 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.7655  0.0010  0.128  0.5513  0.4610  0.50
Anderszewski 2003   44  0.6342  0.0048  0.0553  0.0539  0.1166  0.07
Ashkenazy 1981   51  0.6181  0.0041  0.0441  0.1445  0.0851  0.11
Bacha 2000   61  0.5883  0.0042  0.0442  0.1419  0.3436  0.22
Badura 1965   55  0.6066  0.0066  0.0551  0.0540  0.1758  0.09
Barbosa 1983   68  0.5580  0.0055  0.0464  0.0427  0.2653  0.10
Biret 1990   6  0.773  0.152  0.232  0.672  0.671  0.67
Blet 2003   37  0.6657  0.0049  0.0550  0.0531  0.2350  0.11
Block 1995   38  0.6533  0.0047  0.0746  0.0713  0.3940  0.17
Blumental 1952   65  0.5621  0.0116  0.0928  0.327  0.3726  0.34
Boshniakovich 1969   24  0.7043  0.0036  0.0534  0.2318  0.4032  0.30
Brailowsky 1960   36  0.6660  0.0065  0.0465  0.0432  0.2552  0.10
Bunin 1987   84  0.4377  0.0088  0.0470  0.0461  0.0484  0.04
Bunin 1987b   85  0.4271  0.0087  0.0467  0.0463  0.0480  0.04
Chiu 1999   66  0.5585  0.0063  0.0379  0.0344  0.1267  0.06
Cohen 1997   86  0.4186  0.0079  0.0377  0.0318  0.3154  0.10
Cortot 1951   20  0.7227  0.0029  0.0825  0.344  0.6214  0.46
Csalog 1996   70  0.5346  0.0077  0.0460  0.0421  0.3548  0.12
Czerny 1949   5  0.772  0.154  0.167  0.568  0.574  0.56
Czerny 1990   2  0.8111  0.019  0.165  0.589  0.536  0.55
Duchoud 2007   69  0.5330  0.0060  0.0378  0.0364  0.0488  0.03
Ezaki 2006   13  0.757  0.0318  0.1418  0.4314  0.4120  0.42
Falvay 1989   33  0.6753  0.0058  0.0552  0.0533  0.3246  0.13
Farrell 1958   29  0.696  0.036  0.1112  0.483  0.587  0.53
Ferenczy 1958   42  0.6479  0.0040  0.0444  0.0924  0.2741  0.16
Fliere 1977   3  0.798  0.027  0.106  0.5722  0.3813  0.47
Fou 1978   41  0.645  0.0426  0.0824  0.3518  0.3923  0.37
Francois 1956   19  0.7232  0.0022  0.0821  0.3911  0.5119  0.45
Friedman 1923   87  0.3874  0.0081  0.0457  0.0451  0.0776  0.05
Friedman 1923b   88  0.3845  0.0080  0.0459  0.0457  0.0675  0.05
Friedman 1930   72  0.5234  0.0076  0.0473  0.0439  0.1862  0.08
Garcia 2007   74  0.5140  0.0072  0.0387  0.0349  0.0583  0.04
Garcia 2007b   83  0.4324  0.0054  0.0458  0.0420  0.2260  0.09
Gierzod 1998   12  0.759  0.0212  0.0811  0.5017  0.4117  0.45
Gornostaeva 1994   8  0.7710  0.0211  0.1015  0.445  0.5711  0.50
Groot 1988   28  0.6938  0.0032  0.0830  0.2723  0.4327  0.34
Harasiewicz 1955   50  0.6118  0.0137  0.0638  0.1652  0.0463  0.08
Hatto 1993   82  0.4364  0.0069  0.0466  0.0446  0.0871  0.06
Hatto 1997   78  0.4950  0.0053  0.0468  0.0447  0.0869  0.06
Horowitz 1949   53  0.6052  0.0074  0.0469  0.0441  0.1465  0.07
Indjic 1988   81  0.4547  0.0068  0.0384  0.0346  0.0872  0.05
Kapell 1951   26  0.6944  0.0028  0.0822  0.3731  0.2831  0.32
Kissin 1993   16  0.7339  0.0020  0.0920  0.3919  0.3922  0.39
Kushner 1989   7  0.7715  0.0114  0.0913  0.4618  0.4515  0.45
Luisada 1991   34  0.6617  0.0123  0.0927  0.3229  0.3528  0.33
Lushtak 2004   49  0.6168  0.0038  0.0436  0.1858  0.0559  0.09
Malcuzynski 1961   31  0.6731  0.0045  0.0543  0.1121  0.2938  0.18
Magaloff 1978   21  0.7112  0.0133  0.1131  0.2627  0.3033  0.28
Magin 1975   67  0.5565  0.0071  0.0385  0.0356  0.0579  0.04
Michalowski 1933   71  0.5290  0.0075  0.0471  0.0446  0.0968  0.06
Milkina 1970   10  0.7614  0.018  0.123  0.654  0.603  0.62
Mohovich 1999   17  0.7336  0.0017  0.0916  0.4418  0.4618  0.45
Moravec 1969   35  0.6678  0.0050  0.0554  0.0510  0.4742  0.15
Morozova 2008   43  0.6428  0.0024  0.0833  0.2423  0.2535  0.24
Neighaus 1950   25  0.7022  0.0115  0.0817  0.4428  0.2825  0.35
Niedzielski 1931   54  0.6087  0.0070  0.0472  0.0433  0.1761  0.08
Ohlsson 1999   32  0.6720  0.0139  0.0535  0.1933  0.2437  0.21
Osinska 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Pachmann 1927   76  0.5059  0.0086  0.0375  0.0364  0.0485  0.03
Paderewski 1930   27  0.6975  0.0021  0.0829  0.315  0.4424  0.37
Perlemuter 1992   39  0.6561  0.0056  0.0463  0.0458  0.0477  0.04
Pierdomenico 2008   48  0.6125  0.0046  0.0547  0.0518  0.4244  0.14
Poblocka 1999   22  0.7154  0.0030  0.1226  0.3422  0.3030  0.32
Rabcewiczowa 1932   23  0.7037  0.0031  0.0832  0.2610  0.4329  0.33
Rachmaninoff 1923   52  0.6026  0.0034  0.0545  0.0948  0.0564  0.07
Rangell 2001   63  0.5635  0.0035  0.0537  0.1715  0.3934  0.26
Richter 1976   75  0.5148  0.0085  0.0382  0.0359  0.0581  0.04
Rosen 1989   4  0.7713  0.013  0.264  0.643  0.622  0.63
Rosenthal 1930   59  0.5884  0.0062  0.0474  0.0437  0.1957  0.09
Rosenthal 1931   79  0.4762  0.0082  0.0388  0.0368  0.0386  0.03
Rosenthal 1931b   80  0.4691  0.0084  0.0383  0.0369  0.0490  0.03
Rosenthal 1931c   64  0.5641  0.0078  0.0548  0.0536  0.2055  0.10
Rosenthal 1931d   73  0.5188  0.0083  0.0386  0.0343  0.1170  0.06
Rossi 2007   56  0.5949  0.0052  0.0555  0.052  0.6139  0.17
Rubinstein 1939   77  0.4963  0.0061  0.0380  0.0310  0.3949  0.11
Rubinstein 1952   62  0.5723  0.0059  0.0462  0.0419  0.4745  0.14
Rubinstein 1966   30  0.6816  0.0125  0.0919  0.4110  0.5712  0.48
Schilhawsky 1960   47  0.6182  0.0057  0.0556  0.0559  0.0573  0.05
Shebanova 2002   14  0.7429  0.0013  0.089  0.538  0.575  0.55
Smith 1975   11  0.764  0.055  0.1310  0.516  0.549  0.52
Sokolov 2002   58  0.5867  0.0051  0.0461  0.0460  0.0478  0.04
Sztompka 1959   15  0.7351  0.0019  0.1114  0.4415  0.4616  0.45
Tomsic 1995   46  0.6273  0.0064  0.0549  0.0524  0.3547  0.13
Uninsky 1932   60  0.5876  0.0073  0.0381  0.0346  0.0774  0.05
Uninsky 1971   57  0.5872  0.0067  0.0376  0.0363  0.0582  0.04
Wasowski 1980   18  0.7319  0.0127  0.0823  0.353  0.4821  0.41
Zak 1937   40  0.6469  0.0043  0.0639  0.1641  0.1543  0.15
Zak 1951   45  0.6258  0.0044  0.0740  0.1659  0.0556  0.09
Average   1  0.841  0.321  0.311  0.7720  0.378  0.53
Random 1   91  -0.2189  0.0091  0.0191  0.0186  0.0291  0.01
Random 2   90  -0.1156  0.0089  0.0290  0.0261  0.0487  0.03
Random 3   89  -0.0970  0.0090  0.0289  0.0249  0.0589  0.03

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).