Badura 1965

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   19  0.3222  0.0130  0.0826  0.4348  0.0728  0.17
Anderszewski 2003   8  0.3610  0.022  0.144  0.656  0.653  0.65
Ashkenazy 1981   2  0.4116  0.015  0.166  0.6441  0.2212  0.38
Bacha 2000   24  0.3029  0.0015  0.0915  0.5120  0.469  0.48
Badura 1965   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Barbosa 1983   69  0.1760  0.0072  0.0463  0.0477  0.0377  0.03
Biret 1990   86  0.0385  0.0086  0.0385  0.0361  0.0482  0.03
Blet 2003   63  0.2068  0.0080  0.0372  0.0376  0.0378  0.03
Block 1995   15  0.349  0.0218  0.1019  0.4949  0.0629  0.17
Blumental 1952   6  0.364  0.047  0.147  0.6113  0.566  0.58
Boshniakovich 1969   41  0.2555  0.0029  0.0830  0.3854  0.0632  0.15
Brailowsky 1960   10  0.355  0.036  0.133  0.686  0.662  0.67
Bunin 1987   64  0.2071  0.0067  0.0468  0.0474  0.0465  0.04
Bunin 1987b   60  0.2076  0.0066  0.0371  0.0370  0.0476  0.03
Chiu 1999   40  0.2681  0.0052  0.0457  0.0469  0.0553  0.04
Cohen 1997   45  0.2472  0.0042  0.0741  0.1337  0.2725  0.19
Cortot 1951   49  0.2263  0.0054  0.0459  0.0451  0.0570  0.04
Csalog 1996   51  0.2237  0.0051  0.0456  0.0464  0.0561  0.04
Czerny 1949   84  0.1086  0.0083  0.0375  0.0345  0.0851  0.05
Czerny 1990   62  0.2043  0.0058  0.0369  0.0361  0.0567  0.04
Duchoud 2007   56  0.2151  0.0041  0.0540  0.1458  0.0545  0.08
Ezaki 2006   18  0.332  0.0710  0.1016  0.4927  0.4510  0.47
Falvay 1989   23  0.3014  0.0113  0.0920  0.4835  0.2116  0.32
Farrell 1958   47  0.2264  0.0049  0.0647  0.0637  0.2439  0.12
Ferenczy 1958   53  0.2240  0.0037  0.0838  0.1928  0.6114  0.34
Fliere 1977   16  0.3448  0.0032  0.1027  0.4181  0.0435  0.13
Fou 1978   1  0.431  0.501  0.491  0.777  0.621  0.69
Francois 1956   83  0.1047  0.0085  0.0386  0.0384  0.0290  0.02
Friedman 1923   12  0.3528  0.0024  0.0718  0.4946  0.1024  0.22
Friedman 1923b   13  0.3430  0.0025  0.0917  0.4948  0.1022  0.22
Friedman 1930   4  0.377  0.0223  0.0923  0.4651  0.0726  0.18
Garcia 2007   71  0.1677  0.0060  0.0377  0.0372  0.0479  0.03
Garcia 2007b   77  0.1544  0.0071  0.0370  0.0366  0.0485  0.03
Gierzod 1998   5  0.3613  0.014  0.182  0.6916  0.624  0.65
Gornostaeva 1994   74  0.1661  0.0078  0.0453  0.0464  0.0466  0.04
Groot 1988   36  0.2615  0.0150  0.0454  0.0472  0.0468  0.04
Harasiewicz 1955   44  0.2457  0.0076  0.0379  0.0386  0.0384  0.03
Hatto 1993   43  0.2487  0.0059  0.0455  0.0470  0.0569  0.04
Hatto 1997   65  0.1973  0.0068  0.0466  0.0469  0.0462  0.04
Horowitz 1949   72  0.1665  0.0064  0.0464  0.0471  0.0457  0.04
Indjic 1988   54  0.2188  0.0065  0.0374  0.0368  0.0560  0.04
Kapell 1951   75  0.1669  0.0063  0.0380  0.0361  0.0656  0.04
Kissin 1993   33  0.2738  0.0043  0.0642  0.1248  0.0942  0.10
Kushner 1989   9  0.3627  0.003  0.175  0.6524  0.448  0.53
Luisada 1991   38  0.2634  0.0057  0.0549  0.0578  0.0452  0.04
Lushtak 2004   61  0.2049  0.0026  0.0734  0.2829  0.2019  0.24
Malcuzynski 1961   7  0.366  0.0214  0.1010  0.5638  0.1915  0.33
Magaloff 1978   67  0.1823  0.0056  0.0552  0.0567  0.0454  0.04
Magin 1975   58  0.2139  0.0073  0.0381  0.0376  0.0474  0.03
Michalowski 1933   46  0.2362  0.0055  0.0458  0.0460  0.0650  0.05
Milkina 1970   70  0.1752  0.0077  0.0462  0.0475  0.0375  0.03
Mohovich 1999   66  0.1882  0.0069  0.0467  0.0475  0.0381  0.03
Moravec 1969   25  0.2935  0.0034  0.0833  0.2964  0.0440  0.11
Morozova 2008   14  0.3426  0.0022  0.0821  0.4855  0.0531  0.15
Neighaus 1950   80  0.1274  0.0081  0.0460  0.0484  0.0283  0.03
Niedzielski 1931   50  0.2211  0.0220  0.1036  0.2568  0.0541  0.11
Ohlsson 1999   31  0.2783  0.0038  0.0737  0.1971  0.0443  0.09
Osinska 1989   85  0.0978  0.0082  0.0373  0.0384  0.0286  0.02
Pachmann 1927   22  0.3118  0.0119  0.1214  0.5240  0.2413  0.35
Paderewski 1930   55  0.2166  0.0062  0.0378  0.0368  0.0559  0.04
Perlemuter 1992   27  0.2979  0.0035  0.0835  0.2745  0.0636  0.13
Pierdomenico 2008   76  0.1570  0.0075  0.0382  0.0374  0.0373  0.03
Poblocka 1999   30  0.2867  0.0033  0.1231  0.3775  0.0438  0.12
Rabcewiczowa 1932   81  0.1141  0.0070  0.0461  0.0454  0.0648  0.05
Rachmaninoff 1923   42  0.2531  0.0045  0.0745  0.0770  0.0347  0.05
Rangell 2001   32  0.2733  0.0031  0.0829  0.3942  0.1223  0.22
Richter 1976   37  0.2658  0.0048  0.0550  0.0578  0.0458  0.04
Rosen 1989   28  0.2950  0.0027  0.0724  0.4458  0.0437  0.13
Rosenthal 1930   21  0.3120  0.0128  0.0725  0.4425  0.4311  0.43
Rosenthal 1931   26  0.2912  0.029  0.158  0.5915  0.635  0.61
Rosenthal 1931b   35  0.2617  0.0112  0.1213  0.5319  0.607  0.56
Rosenthal 1931c   73  0.1653  0.0061  0.0465  0.0457  0.0471  0.04
Rosenthal 1931d   78  0.1554  0.0039  0.0839  0.1732  0.3718  0.25
Rossi 2007   90  -0.0889  0.0088  0.0289  0.0281  0.0388  0.02
Rubinstein 1939   39  0.2642  0.0053  0.0548  0.0562  0.0455  0.04
Rubinstein 1952   82  0.1190  0.0074  0.0383  0.0383  0.0289  0.02
Rubinstein 1966   11  0.3519  0.0117  0.1311  0.5577  0.0430  0.15
Schilhawsky 1960   57  0.2125  0.0044  0.0544  0.1139  0.1834  0.14
Shebanova 2002   17  0.3359  0.0021  0.0822  0.4765  0.0627  0.17
Smith 1975   68  0.1732  0.0079  0.0376  0.0368  0.0472  0.03
Sokolov 2002   79  0.1284  0.0084  0.0384  0.0387  0.0187  0.02
Sztompka 1959   29  0.2880  0.0036  0.0932  0.3152  0.0633  0.14
Tomsic 1995   34  0.263  0.0711  0.1228  0.4135  0.1617  0.26
Uninsky 1932   3  0.388  0.028  0.169  0.5846  0.0821  0.22
Uninsky 1971   20  0.3221  0.0116  0.1112  0.5445  0.0920  0.22
Wasowski 1980   52  0.2236  0.0040  0.0543  0.1266  0.0544  0.08
Zak 1937   59  0.2124  0.0046  0.0646  0.0665  0.0549  0.05
Zak 1951   48  0.2275  0.0047  0.0551  0.0546  0.0746  0.06
Random 1   88  -0.0156  0.0089  0.0288  0.0252  0.0480  0.03
Random 2   87  -0.0145  0.0087  0.0287  0.0245  0.0763  0.04
Random 3   89  -0.0846  0.0090  0.0190  0.0136  0.1464  0.04

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).