Blumental 1952

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   8  0.649  0.028  0.0910  0.4624  0.4211  0.44
Anderszewski 2003   48  0.5378  0.0067  0.0468  0.0470  0.0479  0.04
Ashkenazy 1981   19  0.6033  0.0054  0.0462  0.0440  0.1770  0.08
Bacha 2000   24  0.5934  0.0034  0.0734  0.182  0.6121  0.33
Badura 1965   77  0.4163  0.0081  0.0478  0.0474  0.0482  0.04
Barbosa 1983   43  0.5454  0.0017  0.0728  0.2420  0.4719  0.34
Biret 1990   2  0.6743  0.004  0.172  0.635  0.603  0.61
Blet 2003   65  0.4937  0.0068  0.0461  0.0420  0.3353  0.11
Block 1995   80  0.4060  0.0074  0.0558  0.0536  0.1863  0.09
Blumental 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Boshniakovich 1969   70  0.4830  0.0043  0.0643  0.1257  0.0569  0.08
Brailowsky 1960   28  0.5832  0.0049  0.0550  0.056  0.6736  0.18
Bunin 1987   83  0.3464  0.0084  0.0385  0.0360  0.0488  0.03
Bunin 1987b   86  0.3383  0.0085  0.0480  0.0474  0.0477  0.04
Chiu 1999   15  0.6155  0.0019  0.0635  0.1712  0.3831  0.25
Cohen 1997   40  0.5676  0.0055  0.0553  0.0511  0.4249  0.14
Cortot 1951   61  0.4945  0.0070  0.0471  0.0410  0.5746  0.15
Csalog 1996   66  0.4861  0.0032  0.0639  0.1511  0.4927  0.27
Czerny 1949   56  0.5127  0.0139  0.0641  0.1348  0.0757  0.10
Czerny 1990   1  0.691  0.271  0.261  0.713  0.731  0.72
Duchoud 2007   82  0.3670  0.0086  0.0387  0.0371  0.0487  0.03
Ezaki 2006   3  0.677  0.037  0.094  0.5510  0.614  0.58
Falvay 1989   20  0.6012  0.0116  0.0727  0.247  0.5615  0.37
Farrell 1958   34  0.5784  0.0050  0.0647  0.0632  0.3348  0.14
Ferenczy 1958   38  0.566  0.0612  0.1024  0.286  0.5713  0.40
Fliere 1977   14  0.6135  0.0026  0.0811  0.4146  0.0738  0.17
Fou 1978   5  0.6639  0.0013  0.119  0.4615  0.488  0.47
Francois 1956   62  0.4966  0.0060  0.0556  0.0527  0.4250  0.14
Friedman 1923   60  0.5062  0.0073  0.0645  0.0643  0.1172  0.08
Friedman 1923b   57  0.5156  0.0072  0.0551  0.0543  0.1371  0.08
Friedman 1930   52  0.5258  0.0071  0.0459  0.0440  0.2261  0.09
Garcia 2007   49  0.5285  0.0066  0.0382  0.0335  0.2762  0.09
Garcia 2007b   58  0.5177  0.0064  0.0479  0.0437  0.2164  0.09
Gierzod 1998   35  0.5626  0.0124  0.0623  0.2841  0.1734  0.22
Gornostaeva 1994   67  0.4848  0.0062  0.0648  0.0638  0.1658  0.10
Groot 1988   45  0.5438  0.0044  0.0544  0.0923  0.3139  0.17
Harasiewicz 1955   23  0.5946  0.0023  0.0622  0.2938  0.1833  0.23
Hatto 1993   11  0.6222  0.0115  0.0712  0.4025  0.2920  0.34
Hatto 1997   10  0.6367  0.0029  0.1117  0.3733  0.1928  0.27
Horowitz 1949   78  0.4165  0.0080  0.0474  0.0443  0.1767  0.08
Indjic 1988   12  0.6252  0.0028  0.0716  0.3731  0.2624  0.31
Kapell 1951   26  0.5941  0.0014  0.088  0.4624  0.3016  0.37
Kissin 1993   42  0.5544  0.0036  0.0636  0.1744  0.1444  0.15
Kushner 1989   37  0.5659  0.0047  0.0472  0.0444  0.1073  0.06
Luisada 1991   9  0.6319  0.0118  0.0613  0.4011  0.489  0.44
Lushtak 2004   32  0.5879  0.0053  0.0552  0.0557  0.0574  0.05
Malcuzynski 1961   75  0.4413  0.0138  0.0731  0.2223  0.3030  0.26
Magaloff 1978   18  0.6028  0.0021  0.0633  0.1910  0.4325  0.29
Magin 1975   39  0.568  0.0237  0.0630  0.2242  0.1537  0.18
Michalowski 1933   76  0.4174  0.0078  0.0557  0.0544  0.1268  0.08
Milkina 1970   13  0.624  0.0710  0.097  0.5227  0.457  0.48
Mohovich 1999   21  0.6025  0.0111  0.0918  0.3520  0.5312  0.43
Moravec 1969   6  0.663  0.113  0.253  0.591  0.762  0.67
Morozova 2008   46  0.5316  0.0163  0.0466  0.0457  0.0580  0.04
Neighaus 1950   74  0.4475  0.0076  0.0465  0.0473  0.0483  0.04
Niedzielski 1931   53  0.5131  0.0020  0.0625  0.2515  0.4618  0.34
Ohlsson 1999   73  0.4471  0.0075  0.0481  0.0458  0.0578  0.04
Osinska 1989   27  0.5824  0.0133  0.0721  0.2932  0.2626  0.27
Pachmann 1927   81  0.3686  0.0087  0.0473  0.0464  0.0385  0.03
Paderewski 1930   72  0.4668  0.0069  0.0554  0.0518  0.4543  0.15
Perlemuter 1992   54  0.5172  0.0061  0.0549  0.0535  0.2055  0.10
Pierdomenico 2008   84  0.3487  0.0079  0.0384  0.0364  0.0576  0.04
Poblocka 1999   55  0.515  0.079  0.1120  0.3434  0.3322  0.33
Rabcewiczowa 1932   4  0.672  0.132  0.195  0.525  0.536  0.52
Rachmaninoff 1923   7  0.6410  0.026  0.116  0.524  0.575  0.54
Rangell 2001   85  0.3473  0.0082  0.0555  0.0556  0.0575  0.05
Richter 1976   87  0.3029  0.0083  0.0386  0.0374  0.0484  0.03
Rosen 1989   36  0.5620  0.0125  0.0719  0.3416  0.4017  0.37
Rosenthal 1930   68  0.4818  0.0151  0.0475  0.048  0.6441  0.16
Rosenthal 1931   71  0.4769  0.0059  0.0460  0.048  0.6045  0.15
Rosenthal 1931b   64  0.4942  0.0056  0.0477  0.046  0.6542  0.16
Rosenthal 1931c   47  0.5317  0.0130  0.0638  0.167  0.6423  0.32
Rosenthal 1931d   63  0.4950  0.0057  0.0646  0.066  0.6935  0.20
Rossi 2007   33  0.5788  0.0052  0.0470  0.047  0.5247  0.14
Rubinstein 1939   31  0.5857  0.0045  0.0467  0.0426  0.3451  0.12
Rubinstein 1952   22  0.5949  0.005  0.1214  0.3924  0.4114  0.40
Rubinstein 1966   25  0.5980  0.0048  0.0469  0.0438  0.2356  0.10
Schilhawsky 1960   51  0.5221  0.0146  0.0464  0.0438  0.1960  0.09
Shebanova 2002   44  0.5411  0.0231  0.0529  0.2356  0.0554  0.11
Smith 1975   30  0.5823  0.0122  0.0715  0.378  0.5310  0.44
Sokolov 2002   50  0.5236  0.0058  0.0463  0.0437  0.1665  0.08
Sztompka 1959   41  0.5614  0.0127  0.0626  0.2439  0.2232  0.23
Tomsic 1995   79  0.4081  0.0077  0.0476  0.0438  0.1766  0.08
Uninsky 1932   59  0.5040  0.0065  0.0383  0.0346  0.0681  0.04
Uninsky 1971   69  0.4847  0.0042  0.0537  0.1640  0.1740  0.16
Wasowski 1980   29  0.5815  0.0135  0.0732  0.2128  0.3229  0.26
Zak 1937   16  0.6153  0.0041  0.0742  0.1344  0.0952  0.11
Zak 1951   17  0.6051  0.0040  0.0640  0.1352  0.0659  0.09
Random 1   90  -0.1482  0.0090  0.0190  0.0181  0.0290  0.01
Random 2   88  -0.0289  0.0088  0.0288  0.0257  0.0486  0.03
Random 3   89  -0.1190  0.0089  0.0189  0.0159  0.0489  0.02

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).