Ashkenazy 1981

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   15  0.7228  0.0027  0.1015  0.3740  0.2030  0.27
Anderszewski 2003   32  0.6724  0.0125  0.0826  0.2624  0.2632  0.26
Ashkenazy 1981   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bacha 2000   35  0.6770  0.0047  0.0455  0.0418  0.3047  0.11
Badura 1965   30  0.6861  0.0040  0.0540  0.1321  0.4735  0.25
Barbosa 1983   57  0.5748  0.0067  0.0380  0.0352  0.0573  0.04
Biret 1990   34  0.6765  0.0049  0.0471  0.0436  0.1556  0.08
Blet 2003   73  0.4875  0.0075  0.0467  0.0467  0.0475  0.04
Block 1995   71  0.4976  0.0060  0.0550  0.0536  0.1355  0.08
Blumental 1952   24  0.6919  0.0145  0.0458  0.0453  0.0578  0.04
Boshniakovich 1969   41  0.6549  0.0037  0.0636  0.1830  0.3136  0.24
Brailowsky 1960   54  0.5967  0.0062  0.0648  0.0633  0.2148  0.11
Bunin 1987   60  0.5525  0.0057  0.0456  0.0414  0.4643  0.14
Bunin 1987b   61  0.5468  0.0058  0.0745  0.0714  0.4639  0.18
Chiu 1999   20  0.7051  0.0031  0.0531  0.229  0.3824  0.29
Cohen 1997   74  0.4745  0.0086  0.0383  0.0358  0.0485  0.03
Cortot 1951   47  0.6253  0.0039  0.0538  0.1515  0.4533  0.26
Csalog 1996   87  0.3182  0.0076  0.0472  0.0456  0.0474  0.04
Czerny 1949   42  0.6433  0.0015  0.0819  0.3330  0.3812  0.35
Czerny 1990   44  0.6483  0.0053  0.0453  0.0470  0.0386  0.03
Duchoud 2007   14  0.734  0.124  0.1117  0.333  0.558  0.43
Ezaki 2006   5  0.7789  0.0013  0.1120  0.3121  0.3714  0.34
Falvay 1989   76  0.4266  0.0087  0.0466  0.0451  0.0760  0.05
Farrell 1958   38  0.6626  0.0046  0.0464  0.0456  0.0570  0.04
Ferenczy 1958   70  0.5062  0.0063  0.0460  0.0460  0.0477  0.04
Fliere 1977   19  0.7141  0.0012  0.1010  0.4624  0.2811  0.36
Fou 1978   11  0.757  0.0321  0.0821  0.3026  0.2529  0.27
Francois 1956   67  0.5259  0.0068  0.0461  0.0448  0.0579  0.04
Friedman 1923   18  0.7127  0.0029  0.0825  0.2725  0.4217  0.34
Friedman 1923b   17  0.7239  0.0028  0.0823  0.2925  0.4313  0.35
Friedman 1930   21  0.7073  0.0032  0.0634  0.2022  0.4325  0.29
Garcia 2007   26  0.6878  0.0050  0.0473  0.0447  0.0761  0.05
Garcia 2007b   33  0.6771  0.0041  0.0541  0.1232  0.2541  0.17
Gierzod 1998   36  0.6632  0.0034  0.0627  0.2447  0.0744  0.13
Gornostaeva 1994   59  0.5587  0.0061  0.0551  0.0548  0.0663  0.05
Groot 1988   49  0.6136  0.0022  0.0737  0.1537  0.2240  0.18
Harasiewicz 1955   13  0.7347  0.0010  0.088  0.4717  0.3810  0.42
Hatto 1993   8  0.7660  0.0019  0.1216  0.3627  0.2820  0.32
Hatto 1997   7  0.7618  0.0117  0.0814  0.3827  0.3016  0.34
Horowitz 1949   29  0.6834  0.0033  0.0533  0.2116  0.4721  0.31
Indjic 1988   6  0.7672  0.0018  0.0913  0.3827  0.2918  0.33
Kapell 1951   51  0.615  0.069  0.0812  0.4022  0.2026  0.28
Kissin 1993   37  0.6629  0.0026  0.0822  0.2931  0.2134  0.25
Kushner 1989   27  0.6869  0.0035  0.0530  0.2328  0.3031  0.26
Luisada 1991   10  0.7514  0.0120  0.0818  0.3318  0.3219  0.32
Lushtak 2004   22  0.6920  0.0142  0.0542  0.1033  0.1745  0.13
Malcuzynski 1961   78  0.4131  0.0073  0.0462  0.0452  0.0572  0.04
Magaloff 1978   68  0.5286  0.0071  0.0376  0.0367  0.0567  0.04
Magin 1975   12  0.751  0.191  0.191  0.623  0.561  0.59
Michalowski 1933   53  0.6015  0.0116  0.0828  0.2413  0.4715  0.34
Milkina 1970   52  0.6056  0.0059  0.0459  0.0460  0.0471  0.04
Mohovich 1999   40  0.6663  0.0048  0.0474  0.0449  0.0762  0.05
Moravec 1969   80  0.3950  0.0081  0.0287  0.0263  0.0480  0.03
Morozova 2008   2  0.783  0.122  0.233  0.544  0.553  0.54
Neighaus 1950   23  0.699  0.026  0.119  0.4721  0.399  0.43
Niedzielski 1931   64  0.5238  0.0055  0.0647  0.0636  0.2249  0.11
Ohlsson 1999   9  0.768  0.025  0.114  0.5210  0.484  0.50
Osinska 1989   45  0.6488  0.0052  0.0549  0.0574  0.0466  0.04
Pachmann 1927   75  0.4584  0.0077  0.0465  0.0468  0.0384  0.03
Paderewski 1930   62  0.5379  0.0069  0.0378  0.0355  0.0483  0.03
Perlemuter 1992   43  0.6480  0.0056  0.0646  0.0679  0.0365  0.04
Pierdomenico 2008   63  0.5322  0.0165  0.0469  0.0431  0.2550  0.10
Poblocka 1999   65  0.5211  0.0130  0.0724  0.2830  0.2727  0.27
Rabcewiczowa 1932   58  0.5735  0.0064  0.0463  0.0465  0.0469  0.04
Rachmaninoff 1923   16  0.726  0.0514  0.095  0.486  0.465  0.47
Rangell 2001   77  0.4181  0.0072  0.0377  0.0330  0.2553  0.09
Richter 1976   69  0.5216  0.0154  0.0454  0.0434  0.3646  0.12
Rosen 1989   46  0.6437  0.0044  0.0444  0.0839  0.1151  0.09
Rosenthal 1930   82  0.3964  0.0074  0.0457  0.0440  0.1058  0.06
Rosenthal 1931   83  0.3830  0.0078  0.0468  0.0440  0.1554  0.08
Rosenthal 1931b   84  0.3857  0.0079  0.0379  0.0342  0.1064  0.05
Rosenthal 1931c   86  0.3343  0.0084  0.0381  0.0363  0.0488  0.03
Rosenthal 1931d   85  0.3752  0.0083  0.0286  0.0256  0.0587  0.03
Rossi 2007   72  0.4954  0.0085  0.0382  0.0376  0.0481  0.03
Rubinstein 1939   56  0.5742  0.0066  0.0375  0.0347  0.0668  0.04
Rubinstein 1952   79  0.4146  0.0080  0.0284  0.0272  0.0489  0.03
Rubinstein 1966   50  0.6177  0.0070  0.0470  0.0464  0.0476  0.04
Schilhawsky 1960   55  0.5823  0.0136  0.0539  0.1437  0.2937  0.20
Shebanova 2002   31  0.6721  0.0111  0.0911  0.4335  0.2322  0.31
Smith 1975   25  0.6917  0.0124  0.0829  0.2310  0.3923  0.30
Sokolov 2002   28  0.6812  0.0123  0.0832  0.2114  0.3528  0.27
Sztompka 1959   1  0.792  0.153  0.282  0.618  0.492  0.55
Tomsic 1995   81  0.3955  0.0082  0.0285  0.0271  0.0482  0.03
Uninsky 1932   48  0.6140  0.0038  0.0735  0.1939  0.2138  0.20
Uninsky 1971   66  0.5244  0.0043  0.0543  0.0941  0.2242  0.14
Wasowski 1980   39  0.6658  0.0051  0.0552  0.0552  0.0659  0.05
Zak 1937   3  0.7810  0.027  0.106  0.4812  0.386  0.43
Zak 1951   4  0.7713  0.018  0.117  0.4812  0.387  0.43
Random 1   90  -0.3390  0.0090  0.0190  0.0184  0.0290  0.01
Random 2   88  -0.0185  0.0089  0.0289  0.0229  0.1857  0.06
Random 3   89  -0.0474  0.0088  0.0288  0.0218  0.3752  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).