Anderszewski 2003

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   18  0.3028  0.0027  0.1126  0.4345  0.1425  0.25
Anderszewski 2003   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ashkenazy 1981   40  0.2273  0.0042  0.0642  0.1376  0.0448  0.07
Bacha 2000   22  0.296  0.0212  0.1416  0.5220  0.4611  0.49
Badura 1965   9  0.3635  0.009  0.167  0.655  0.655  0.65
Barbosa 1983   15  0.349  0.0114  0.1114  0.5328  0.3716  0.44
Biret 1990   84  0.0188  0.0086  0.0285  0.0283  0.0390  0.02
Blet 2003   53  0.2048  0.0064  0.0475  0.0470  0.0467  0.04
Block 1995   16  0.3323  0.0023  0.1018  0.5146  0.0729  0.19
Blumental 1952   5  0.394  0.027  0.144  0.7010  0.643  0.67
Boshniakovich 1969   23  0.2925  0.006  0.159  0.6030  0.3514  0.46
Brailowsky 1960   10  0.367  0.0211  0.188  0.629  0.628  0.62
Bunin 1987   89  0.0089  0.0089  0.0189  0.0190  0.0291  0.01
Bunin 1987b   88  0.0049  0.0088  0.0288  0.0290  0.0288  0.02
Chiu 1999   27  0.2829  0.0067  0.0465  0.0471  0.0461  0.04
Cohen 1997   26  0.2838  0.0024  0.1021  0.4629  0.4317  0.44
Cortot 1951   55  0.1966  0.0068  0.0467  0.0461  0.0572  0.04
Csalog 1996   76  0.1154  0.0077  0.0384  0.0379  0.0477  0.03
Czerny 1949   58  0.1881  0.0055  0.0748  0.0740  0.4133  0.17
Czerny 1990   70  0.1443  0.0071  0.0557  0.0568  0.0471  0.04
Duchoud 2007   52  0.2024  0.0044  0.0543  0.1169  0.0447  0.07
Ezaki 2006   42  0.2240  0.0034  0.0637  0.1936  0.2527  0.22
Falvay 1989   50  0.2074  0.0049  0.0750  0.0772  0.0353  0.05
Farrell 1958   72  0.1371  0.0075  0.0381  0.0382  0.0375  0.03
Ferenczy 1958   29  0.2746  0.0031  0.1028  0.3422  0.7012  0.49
Fliere 1977   62  0.1758  0.0069  0.0376  0.0362  0.0559  0.04
Fou 1978   2  0.4217  0.002  0.255  0.7010  0.586  0.64
Francois 1956   47  0.2110  0.0135  0.0739  0.1643  0.2031  0.18
Friedman 1923   71  0.1390  0.0076  0.0379  0.0376  0.0383  0.03
Friedman 1923b   74  0.1277  0.0079  0.0468  0.0478  0.0381  0.03
Friedman 1930   66  0.1567  0.0062  0.0473  0.0471  0.0468  0.04
Garcia 2007   32  0.2526  0.0022  0.1217  0.5241  0.2021  0.32
Garcia 2007b   80  0.0931  0.0054  0.0653  0.0659  0.0558  0.05
Gierzod 1998   7  0.3912  0.004  0.212  0.747  0.732  0.73
Gornostaeva 1994   30  0.2727  0.0033  0.0832  0.2538  0.2824  0.26
Groot 1988   65  0.1691  0.0065  0.0461  0.0482  0.0382  0.03
Harasiewicz 1955   8  0.3760  0.0018  0.1010  0.5934  0.2418  0.38
Hatto 1993   19  0.2945  0.0028  0.0931  0.2856  0.0835  0.15
Hatto 1997   36  0.2315  0.0038  0.0635  0.2164  0.0443  0.09
Horowitz 1949   73  0.1268  0.0072  0.0470  0.0459  0.0563  0.04
Indjic 1988   39  0.2342  0.0039  0.0838  0.1868  0.0542  0.09
Kapell 1951   48  0.2175  0.0041  0.0641  0.1465  0.0544  0.08
Kissin 1993   60  0.1736  0.0051  0.0652  0.0673  0.0556  0.05
Kushner 1989   25  0.2821  0.0026  0.1223  0.4545  0.1326  0.24
Luisada 1991   68  0.1482  0.0057  0.0556  0.0562  0.0551  0.05
Lushtak 2004   20  0.2916  0.0013  0.1213  0.5415  0.4413  0.49
Malcuzynski 1961   56  0.1886  0.0052  0.0746  0.0774  0.0454  0.05
Magaloff 1978   82  0.0861  0.0078  0.0378  0.0383  0.0374  0.03
Magin 1975   63  0.1730  0.0066  0.0462  0.0471  0.0462  0.04
Michalowski 1933   59  0.1887  0.0061  0.0474  0.0478  0.0466  0.04
Milkina 1970   11  0.3514  0.0017  0.1219  0.5119  0.5010  0.50
Mohovich 1999   4  0.408  0.015  0.203  0.7313  0.594  0.66
Moravec 1969   31  0.2519  0.0032  0.0929  0.3167  0.0439  0.11
Morozova 2008   28  0.2737  0.0060  0.0466  0.0480  0.0378  0.03
Neighaus 1950   33  0.2550  0.0029  0.1030  0.3166  0.0538  0.12
Niedzielski 1931   24  0.2855  0.0019  0.1022  0.4556  0.0634  0.16
Ohlsson 1999   12  0.355  0.0216  0.1327  0.3444  0.0932  0.17
Osinska 1989   79  0.1083  0.0080  0.0559  0.0580  0.0360  0.04
Pachmann 1927   78  0.1056  0.0073  0.0463  0.0477  0.0465  0.04
Paderewski 1930   54  0.1933  0.0050  0.0555  0.0566  0.0655  0.05
Perlemuter 1992   64  0.1659  0.0059  0.0471  0.0447  0.0652  0.05
Pierdomenico 2008   85  0.0164  0.0083  0.0383  0.0387  0.0287  0.02
Poblocka 1999   44  0.2251  0.0040  0.0640  0.1469  0.0446  0.07
Rabcewiczowa 1932   46  0.2169  0.0045  0.0545  0.1041  0.1837  0.13
Rachmaninoff 1923   86  0.0078  0.0085  0.0287  0.0289  0.0286  0.02
Rangell 2001   38  0.2332  0.0025  0.1025  0.4536  0.2122  0.31
Richter 1976   41  0.2252  0.0063  0.0464  0.0480  0.0464  0.04
Rosen 1989   51  0.2044  0.0056  0.0558  0.0579  0.0370  0.04
Rosenthal 1930   57  0.1879  0.0058  0.0469  0.0474  0.0380  0.03
Rosenthal 1931   13  0.3441  0.0020  0.1311  0.5913  0.687  0.63
Rosenthal 1931b   17  0.3139  0.0021  0.1812  0.5813  0.679  0.62
Rosenthal 1931c   37  0.2318  0.0053  0.0747  0.0744  0.1441  0.10
Rosenthal 1931d   67  0.1570  0.0043  0.0544  0.1135  0.3230  0.19
Rossi 2007   91  -0.0384  0.0090  0.0190  0.0175  0.0385  0.02
Rubinstein 1939   6  0.393  0.0310  0.1515  0.5313  0.3915  0.45
Rubinstein 1952   61  0.1722  0.0046  0.0654  0.0674  0.0457  0.05
Rubinstein 1966   1  0.531  0.591  0.591  0.863  0.731  0.79
Schilhawsky 1960   21  0.2911  0.0130  0.0833  0.2435  0.2823  0.26
Shebanova 2002   45  0.2157  0.0047  0.0751  0.0769  0.0650  0.06
Smith 1975   35  0.2420  0.0037  0.0736  0.2140  0.2028  0.20
Sokolov 2002   77  0.1153  0.0082  0.0377  0.0390  0.0184  0.02
Sztompka 1959   69  0.1462  0.0070  0.0472  0.0476  0.0376  0.03
Tomsic 1995   43  0.222  0.173  0.1924  0.4521  0.3119  0.37
Uninsky 1932   81  0.0972  0.0081  0.0460  0.0482  0.0379  0.03
Uninsky 1971   14  0.3413  0.0015  0.0920  0.4835  0.2320  0.33
Wasowski 1980   75  0.1280  0.0074  0.0380  0.0382  0.0473  0.03
Zak 1937   49  0.2063  0.0048  0.0749  0.0760  0.0649  0.06
Zak 1951   34  0.2547  0.0036  0.0734  0.2252  0.0540  0.10
Average   3  0.4034  0.008  0.186  0.6982  0.0336  0.14
Random 1   90  -0.0385  0.0091  0.0191  0.0172  0.0389  0.02
Random 2   83  0.0365  0.0084  0.0382  0.0348  0.0669  0.04
Random 3   87  0.0076  0.0087  0.0286  0.0219  0.3545  0.08

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).