Zak 1937

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   4  0.8111  0.009  0.098  0.4919  0.409  0.44
Anderszewski 2003   41  0.7048  0.0046  0.0550  0.0526  0.2557  0.11
Ashkenazy 1981   11  0.7824  0.007  0.0913  0.387  0.4811  0.43
Bacha 2000   73  0.5649  0.0065  0.0375  0.0357  0.0485  0.03
Badura 1965   49  0.6825  0.0047  0.0647  0.0619  0.5046  0.17
Barbosa 1983   72  0.5613  0.0048  0.0460  0.0414  0.3652  0.12
Biret 1990   43  0.6950  0.0038  0.0435  0.1621  0.3339  0.23
Blet 2003   53  0.6651  0.0067  0.0384  0.0337  0.1671  0.07
Block 1995   68  0.5926  0.0059  0.0459  0.0420  0.2661  0.10
Blumental 1952   47  0.6852  0.0058  0.0646  0.0672  0.0476  0.05
Boshniakovich 1969   21  0.7416  0.0017  0.0812  0.406  0.576  0.48
Brailowsky 1960   67  0.5912  0.0069  0.0380  0.0332  0.2364  0.08
Bunin 1987   63  0.6253  0.0061  0.0461  0.049  0.4948  0.14
Bunin 1987b   64  0.6154  0.0060  0.0372  0.0310  0.4951  0.12
Chiu 1999   51  0.6727  0.0032  0.0539  0.156  0.4533  0.26
Cohen 1997   87  0.4128  0.0083  0.0378  0.0348  0.0681  0.04
Cortot 1951   45  0.6855  0.0056  0.0458  0.0422  0.4050  0.13
Csalog 1996   77  0.5217  0.0071  0.0383  0.0323  0.3160  0.10
Czerny 1949   31  0.7129  0.0030  0.0531  0.2027  0.4329  0.29
Czerny 1990   17  0.7610  0.0036  0.0533  0.1822  0.2938  0.23
Duchoud 2007   69  0.5814  0.0075  0.0464  0.0432  0.1963  0.09
Ezaki 2006   6  0.8030  0.0010  0.119  0.467  0.565  0.51
Falvay 1989   78  0.5131  0.0081  0.0455  0.0447  0.1268  0.07
Farrell 1958   55  0.6556  0.0050  0.0457  0.0442  0.1665  0.08
Ferenczy 1958   59  0.6357  0.0072  0.0373  0.0326  0.2762  0.09
Fliere 1977   5  0.8158  0.005  0.126  0.5020  0.388  0.44
Fou 1978   34  0.7132  0.0049  0.0462  0.0436  0.1566  0.08
Francois 1956   65  0.5959  0.0077  0.0466  0.0460  0.0484  0.04
Friedman 1923   23  0.7460  0.0034  0.0630  0.2117  0.4925  0.32
Friedman 1923b   22  0.7418  0.0029  0.0527  0.2216  0.5124  0.33
Friedman 1930   28  0.7261  0.0041  0.0537  0.1611  0.5228  0.29
Garcia 2007   52  0.6733  0.0074  0.0467  0.0459  0.0579  0.04
Garcia 2007b   57  0.6462  0.0066  0.0385  0.0376  0.0490  0.03
Gierzod 1998   15  0.774  0.0026  0.0614  0.3424  0.3619  0.35
Gornostaeva 1994   75  0.5534  0.0063  0.0470  0.0448  0.0677  0.05
Groot 1988   56  0.6563  0.0031  0.0438  0.1511  0.4832  0.27
Harasiewicz 1955   9  0.7864  0.003  0.243  0.642  0.582  0.61
Hatto 1993   16  0.7665  0.0014  0.0915  0.3317  0.3820  0.35
Hatto 1997   13  0.7766  0.0016  0.1317  0.3317  0.3918  0.36
Horowitz 1949   37  0.7067  0.0045  0.0644  0.1119  0.4641  0.22
Indjic 1988   12  0.7768  0.0015  0.1116  0.3318  0.3916  0.36
Kapell 1951   18  0.7535  0.004  0.135  0.505  0.437  0.46
Kissin 1993   3  0.8269  0.006  0.114  0.547  0.534  0.53
Kushner 1989   19  0.7536  0.0037  0.0528  0.2224  0.3530  0.28
Luisada 1991   7  0.8070  0.0011  0.1210  0.4310  0.4112  0.42
Lushtak 2004   14  0.776  0.0012  0.1311  0.404  0.4513  0.42
Malcuzynski 1961   80  0.4871  0.0062  0.0379  0.0336  0.1669  0.07
Magaloff 1978   60  0.6372  0.0064  0.0471  0.0428  0.2459  0.10
Magin 1975   29  0.7219  0.0042  0.0540  0.1425  0.3242  0.21
Michalowski 1933   70  0.5873  0.0070  0.0382  0.0343  0.1372  0.06
Milkina 1970   40  0.7020  0.0024  0.0634  0.1720  0.4034  0.26
Mohovich 1999   38  0.7074  0.0044  0.0642  0.1321  0.4536  0.24
Moravec 1969   82  0.4337  0.0085  0.0287  0.0274  0.0486  0.03
Morozova 2008   8  0.7975  0.0013  0.0723  0.2519  0.3826  0.31
Neighaus 1950   33  0.7176  0.0018  0.0918  0.3123  0.3823  0.34
Niedzielski 1931   54  0.6577  0.0054  0.0463  0.0430  0.3155  0.11
Ohlsson 1999   32  0.7121  0.0027  0.0620  0.2914  0.4121  0.34
Osinska 1989   24  0.7338  0.0035  0.0525  0.2426  0.3427  0.29
Pachmann 1927   71  0.5878  0.0078  0.0554  0.0521  0.3349  0.13
Paderewski 1930   61  0.6279  0.0076  0.0465  0.0437  0.1470  0.07
Perlemuter 1992   25  0.733  0.0033  0.0529  0.2223  0.2935  0.25
Pierdomenico 2008   76  0.5339  0.0019  0.0645  0.1030  0.2845  0.17
Poblocka 1999   35  0.7140  0.0025  0.0619  0.3120  0.4215  0.36
Rabcewiczowa 1932   58  0.6380  0.0073  0.0374  0.0349  0.0678  0.04
Rachmaninoff 1923   36  0.7141  0.0039  0.0436  0.1620  0.3437  0.23
Rangell 2001   83  0.4342  0.0080  0.0648  0.0635  0.2058  0.11
Richter 1976   62  0.6215  0.0055  0.0468  0.0419  0.4747  0.14
Rosen 1989   44  0.6981  0.0051  0.0456  0.0435  0.1867  0.08
Rosenthal 1930   79  0.5122  0.0079  0.0552  0.0547  0.0575  0.05
Rosenthal 1931   86  0.4182  0.0086  0.0288  0.0282  0.0391  0.02
Rosenthal 1931b   85  0.4283  0.0087  0.0376  0.0365  0.0583  0.04
Rosenthal 1931c   84  0.427  0.0084  0.0381  0.0363  0.0489  0.03
Rosenthal 1931d   88  0.405  0.0088  0.0469  0.0474  0.0482  0.04
Rossi 2007   81  0.4684  0.0082  0.0377  0.0367  0.0487  0.03
Rubinstein 1939   30  0.728  0.0023  0.0641  0.1316  0.3740  0.22
Rubinstein 1952   66  0.5943  0.0022  0.0743  0.1338  0.3043  0.20
Rubinstein 1966   27  0.722  0.0021  0.0624  0.255  0.5317  0.36
Schilhawsky 1960   20  0.7585  0.0028  0.0522  0.2625  0.4422  0.34
Shebanova 2002   10  0.7886  0.008  0.097  0.4916  0.3810  0.43
Smith 1975   50  0.6844  0.0052  0.0551  0.0523  0.2554  0.11
Sokolov 2002   48  0.689  0.0020  0.0621  0.274  0.5014  0.37
Sztompka 1959   26  0.7245  0.0043  0.0826  0.2339  0.1644  0.19
Tomsic 1995   74  0.5687  0.0068  0.0386  0.0323  0.4256  0.11
Uninsky 1932   46  0.6888  0.0053  0.0549  0.0529  0.3153  0.12
Uninsky 1971   42  0.6946  0.0040  0.0432  0.1927  0.3831  0.27
Wasowski 1980   39  0.7089  0.0057  0.0553  0.0555  0.0673  0.05
Zak 1937   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Zak 1951   1  0.991  0.991  0.981  1.001  1.001  1.00
Average   2  0.8747  0.002  0.482  0.709  0.473  0.57
Random 1   91  -0.1790  0.0090  0.0190  0.0138  0.1288  0.03
Random 2   89  -0.0391  0.0089  0.0189  0.0124  0.2274  0.05
Random 3   90  -0.1423  0.0091  0.0191  0.0141  0.1480  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).