Bunin 1987

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   38  0.302  0.0043  0.0640  0.1648  0.0744  0.11
Anderszewski 2003   89  0.0010  0.0089  0.0290  0.0289  0.0191  0.01
Ashkenazy 1981   5  0.473  0.006  0.096  0.6534  0.449  0.53
Bacha 2000   77  0.1211  0.0076  0.0474  0.0485  0.0275  0.03
Badura 1965   68  0.2012  0.0070  0.0475  0.0469  0.0379  0.03
Barbosa 1983   33  0.3313  0.0027  0.0828  0.4327  0.3725  0.40
Biret 1990   47  0.2814  0.0044  0.0641  0.1530  0.4536  0.26
Blet 2003   21  0.3815  0.0011  0.1112  0.5627  0.4910  0.52
Block 1995   53  0.2516  0.0054  0.0748  0.0767  0.0462  0.05
Blumental 1952   60  0.234  0.0049  0.0750  0.0742  0.1346  0.10
Boshniakovich 1969   51  0.2617  0.0052  0.0652  0.0664  0.0564  0.05
Brailowsky 1960   66  0.2018  0.0069  0.0477  0.0460  0.0567  0.04
Bunin 1987   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bunin 1987b   1  1.001  1.001  0.991  1.001  1.001  1.00
Chiu 1999   16  0.4019  0.0024  0.1115  0.5436  0.2924  0.40
Cohen 1997   74  0.1520  0.0077  0.0472  0.0487  0.0282  0.03
Cortot 1951   78  0.1221  0.0078  0.0378  0.0379  0.0383  0.03
Csalog 1996   46  0.2822  0.0041  0.0642  0.1531  0.3239  0.22
Czerny 1949   79  0.1123  0.0086  0.0385  0.0368  0.0478  0.03
Czerny 1990   20  0.3824  0.0026  0.0821  0.4828  0.5711  0.52
Duchoud 2007   22  0.3725  0.0019  0.1011  0.5719  0.527  0.54
Ezaki 2006   67  0.2026  0.0045  0.0545  0.1156  0.0647  0.08
Falvay 1989   37  0.3027  0.0038  0.0838  0.2148  0.0643  0.11
Farrell 1958   26  0.355  0.0030  0.0930  0.4114  0.5117  0.46
Ferenczy 1958   84  0.0628  0.0087  0.0386  0.0357  0.0670  0.04
Fliere 1977   8  0.4329  0.005  0.0917  0.5341  0.4016  0.46
Fou 1978   43  0.2830  0.0060  0.0658  0.0654  0.0557  0.05
Francois 1956   64  0.2131  0.0064  0.0563  0.0555  0.0666  0.05
Friedman 1923   19  0.3832  0.0022  0.0914  0.5532  0.4713  0.51
Friedman 1923b   17  0.4033  0.0016  0.0810  0.5932  0.508  0.54
Friedman 1930   13  0.4034  0.0010  0.187  0.6520  0.606  0.62
Garcia 2007   49  0.2735  0.0047  0.0751  0.0771  0.0460  0.05
Garcia 2007b   7  0.4436  0.004  0.209  0.6210  0.694  0.65
Gierzod 1998   83  0.0737  0.0082  0.0380  0.0385  0.0288  0.02
Gornostaeva 1994   71  0.1638  0.0068  0.0656  0.0672  0.0371  0.04
Groot 1988   14  0.4039  0.0012  0.0829  0.4133  0.2530  0.32
Harasiewicz 1955   62  0.2240  0.0067  0.0562  0.0582  0.0374  0.04
Hatto 1993   36  0.3141  0.0018  0.0724  0.4340  0.2331  0.31
Hatto 1997   39  0.2942  0.0014  0.1031  0.4025  0.3028  0.35
Horowitz 1949   4  0.4743  0.007  0.115  0.6712  0.693  0.68
Indjic 1988   31  0.3344  0.0013  0.0818  0.5330  0.3521  0.43
Kapell 1951   15  0.4045  0.0015  0.0913  0.5619  0.4414  0.50
Kissin 1993   61  0.2246  0.0059  0.0561  0.0550  0.0852  0.06
Kushner 1989   35  0.3247  0.0048  0.0847  0.0869  0.0450  0.06
Luisada 1991   6  0.4648  0.008  0.128  0.6516  0.605  0.62
Lushtak 2004   45  0.2849  0.0046  0.0559  0.0533  0.1945  0.10
Malcuzynski 1961   12  0.4050  0.0032  0.0927  0.4329  0.2827  0.35
Magaloff 1978   40  0.2951  0.0042  0.0744  0.1358  0.0548  0.08
Magin 1975   48  0.2752  0.0040  0.0643  0.1439  0.2640  0.19
Michalowski 1933   29  0.3453  0.0037  0.0936  0.2842  0.2038  0.24
Milkina 1970   82  0.0854  0.0081  0.0381  0.0389  0.0286  0.02
Mohovich 1999   80  0.1155  0.0079  0.0383  0.0369  0.0481  0.03
Moravec 1969   30  0.3356  0.0039  0.0739  0.1744  0.1241  0.14
Morozova 2008   24  0.366  0.0023  0.0922  0.4724  0.3523  0.41
Neighaus 1950   57  0.2557  0.0061  0.0566  0.0583  0.0373  0.04
Niedzielski 1931   23  0.3658  0.0035  0.1133  0.3333  0.2534  0.29
Ohlsson 1999   41  0.2959  0.0057  0.0567  0.0555  0.0558  0.05
Osinska 1989   72  0.1660  0.0066  0.0468  0.0471  0.0376  0.03
Pachmann 1927   25  0.3561  0.0034  0.1423  0.4429  0.4718  0.45
Paderewski 1930   58  0.2362  0.0050  0.0749  0.0760  0.0651  0.06
Perlemuter 1992   54  0.2563  0.0056  0.0655  0.0651  0.0554  0.05
Pierdomenico 2008   42  0.2864  0.0053  0.0946  0.0938  0.1842  0.13
Poblocka 1999   27  0.3565  0.0033  0.1025  0.4320  0.4320  0.43
Rabcewiczowa 1932   69  0.1866  0.0074  0.0476  0.0461  0.0569  0.04
Rachmaninoff 1923   2  0.5867  0.002  0.312  0.784  0.812  0.79
Rangell 2001   63  0.2168  0.0071  0.0470  0.0475  0.0472  0.04
Richter 1976   32  0.3369  0.0021  0.0826  0.4339  0.4022  0.41
Rosen 1989   56  0.2570  0.0051  0.0654  0.0652  0.0563  0.05
Rosenthal 1930   52  0.267  0.0065  0.0565  0.0561  0.0561  0.05
Rosenthal 1931   88  0.0371  0.0085  0.0288  0.0288  0.0287  0.02
Rosenthal 1931b   81  0.0872  0.0084  0.0379  0.0381  0.0290  0.02
Rosenthal 1931c   75  0.1573  0.0075  0.0471  0.0469  0.0384  0.03
Rosenthal 1931d   73  0.1574  0.0072  0.0564  0.0545  0.1349  0.08
Rossi 2007   86  0.0575  0.0080  0.0382  0.0355  0.0568  0.04
Rubinstein 1939   59  0.238  0.0058  0.0473  0.0454  0.0756  0.05
Rubinstein 1952   70  0.1776  0.0062  0.0560  0.0548  0.0665  0.05
Rubinstein 1966   76  0.1377  0.0073  0.0469  0.0486  0.0377  0.03
Schilhawsky 1960   44  0.2878  0.0036  0.0937  0.2326  0.3933  0.30
Shebanova 2002   10  0.4279  0.009  0.134  0.6739  0.3912  0.51
Smith 1975   85  0.0680  0.0088  0.0287  0.0286  0.0285  0.02
Sokolov 2002   55  0.2581  0.0055  0.0653  0.0647  0.0555  0.05
Sztompka 1959   11  0.4182  0.0020  0.1016  0.5330  0.3919  0.45
Tomsic 1995   50  0.2783  0.0028  0.0834  0.3030  0.2235  0.26
Uninsky 1932   18  0.3984  0.0025  0.1120  0.5041  0.2029  0.32
Uninsky 1971   65  0.2185  0.0063  0.0657  0.0670  0.0459  0.05
Wasowski 1980   9  0.4286  0.0017  0.0719  0.5030  0.4615  0.48
Zak 1937   28  0.3487  0.0029  0.0832  0.3527  0.3826  0.36
Zak 1951   34  0.3288  0.0031  0.0935  0.2832  0.3232  0.30
Average   3  0.539  0.003  0.313  0.7846  0.0837  0.25
Random 1   90  -0.0289  0.0090  0.0289  0.0256  0.0480  0.03
Random 2   87  0.0590  0.0083  0.0384  0.0345  0.1153  0.06
Random 3   91  -0.1091  0.0091  0.0191  0.0151  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).