Zak 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   5  0.7328  0.008  0.1410  0.4814  0.4316  0.45
Anderszewski 2003   71  0.5047  0.0063  0.0557  0.0534  0.1463  0.08
Ashkenazy 1981   25  0.6531  0.0015  0.0821  0.3321  0.4024  0.36
Bacha 2000   63  0.5366  0.0035  0.0534  0.1613  0.4231  0.26
Badura 1965   49  0.5978  0.0048  0.0650  0.0614  0.3949  0.15
Barbosa 1983   43  0.6036  0.0052  0.0652  0.0611  0.4547  0.16
Biret 1990   41  0.6212  0.0028  0.0526  0.2416  0.3428  0.29
Blet 2003   34  0.6348  0.0056  0.0655  0.0636  0.1562  0.09
Block 1995   72  0.5024  0.0065  0.0467  0.0436  0.1664  0.08
Blumental 1952   69  0.5125  0.0071  0.0475  0.0445  0.0674  0.05
Boshniakovich 1969   29  0.6479  0.0030  0.0530  0.1910  0.5526  0.32
Brailowsky 1960   55  0.5749  0.0040  0.0444  0.0915  0.4043  0.19
Bunin 1987   37  0.6257  0.0051  0.0653  0.0616  0.4248  0.16
Bunin 1987b   39  0.6237  0.0050  0.0468  0.0415  0.4351  0.13
Chiu 1999   23  0.6680  0.0021  0.0719  0.344  0.6113  0.46
Cohen 1997   87  0.3181  0.0086  0.0380  0.0343  0.0875  0.05
Cortot 1951   60  0.5526  0.0069  0.0476  0.0454  0.0584  0.04
Csalog 1996   65  0.5313  0.0034  0.0445  0.087  0.5242  0.20
Czerny 1949   31  0.6438  0.0044  0.0740  0.1324  0.3341  0.21
Czerny 1990   15  0.6932  0.0020  0.0622  0.3026  0.2629  0.28
Duchoud 2007   59  0.5650  0.0064  0.0565  0.0548  0.0572  0.05
Ezaki 2006   4  0.7358  0.0010  0.1511  0.467  0.4810  0.47
Falvay 1989   26  0.6539  0.0033  0.0441  0.1317  0.4334  0.24
Farrell 1958   47  0.5940  0.0055  0.0564  0.0526  0.2555  0.11
Ferenczy 1958   70  0.5082  0.0070  0.0469  0.0461  0.0481  0.04
Fliere 1977   3  0.7523  0.002  0.193  0.643  0.554  0.59
Fou 1978   10  0.704  0.0018  0.0815  0.426  0.5014  0.46
Francois 1956   32  0.6341  0.0042  0.0538  0.1420  0.3939  0.23
Friedman 1923   85  0.3583  0.0085  0.0385  0.0354  0.0685  0.04
Friedman 1923b   82  0.3767  0.0084  0.0378  0.0369  0.0582  0.04
Friedman 1930   79  0.4459  0.0076  0.0473  0.0455  0.0580  0.04
Garcia 2007   75  0.4884  0.0073  0.0382  0.0337  0.1765  0.07
Garcia 2007b   83  0.3618  0.0083  0.0474  0.0439  0.1166  0.07
Gierzod 1998   18  0.678  0.0016  0.0917  0.3617  0.4020  0.38
Gornostaeva 1994   62  0.5451  0.0067  0.0561  0.0553  0.0576  0.05
Groot 1988   14  0.6968  0.0013  0.109  0.486  0.559  0.51
Harasiewicz 1955   17  0.6842  0.005  0.135  0.601  0.575  0.58
Hatto 1993   64  0.5317  0.0036  0.0532  0.1916  0.3532  0.26
Hatto 1997   57  0.5643  0.0037  0.0533  0.1616  0.3438  0.23
Horowitz 1949   7  0.7285  0.004  0.158  0.492  0.656  0.56
Indjic 1988   61  0.5533  0.0029  0.0531  0.1915  0.3830  0.27
Kapell 1951   30  0.6414  0.0043  0.0539  0.1339  0.1450  0.13
Kissin 1993   2  0.7511  0.007  0.172  0.655  0.672  0.66
Kushner 1989   22  0.6619  0.0031  0.0529  0.2029  0.2637  0.23
Luisada 1991   20  0.663  0.003  0.1713  0.436  0.5111  0.47
Lushtak 2004   9  0.717  0.0011  0.146  0.531  0.538  0.53
Malcuzynski 1961   54  0.5844  0.0059  0.0748  0.0725  0.2352  0.13
Magaloff 1978   42  0.6169  0.0038  0.0535  0.1520  0.3536  0.23
Magin 1975   52  0.589  0.0026  0.0628  0.2121  0.2835  0.24
Michalowski 1933   84  0.3686  0.0079  0.0387  0.0363  0.0579  0.04
Milkina 1970   21  0.6610  0.0012  0.1212  0.438  0.5212  0.47
Mohovich 1999   6  0.7315  0.009  0.187  0.524  0.597  0.55
Moravec 1969   66  0.5352  0.0075  0.0377  0.0333  0.2660  0.09
Morozova 2008   16  0.6827  0.0023  0.1020  0.348  0.4022  0.37
Neighaus 1950   8  0.7160  0.006  0.154  0.633  0.593  0.61
Niedzielski 1931   58  0.5653  0.0049  0.0654  0.0610  0.4546  0.16
Ohlsson 1999   28  0.6470  0.0027  0.0623  0.3018  0.3925  0.34
Osinska 1989   35  0.6287  0.0045  0.0558  0.0539  0.1661  0.09
Pachmann 1927   50  0.5854  0.0053  0.0559  0.053  0.5745  0.17
Paderewski 1930   73  0.4988  0.0074  0.0383  0.0370  0.0386  0.03
Perlemuter 1992   11  0.7071  0.0022  0.1018  0.345  0.5217  0.42
Pierdomenico 2008   56  0.5772  0.0060  0.0746  0.0714  0.4344  0.17
Poblocka 1999   38  0.6220  0.0046  0.0656  0.0637  0.1657  0.10
Rabcewiczowa 1932   68  0.5273  0.0072  0.0472  0.0462  0.0478  0.04
Rachmaninoff 1923   24  0.6561  0.0024  0.1324  0.299  0.4621  0.37
Rangell 2001   76  0.462  0.0066  0.0566  0.0534  0.2159  0.10
Richter 1976   48  0.5989  0.0032  0.0443  0.0911  0.4740  0.21
Rosen 1989   44  0.605  0.0058  0.0749  0.0738  0.1558  0.10
Rosenthal 1930   74  0.4955  0.0077  0.0560  0.0549  0.0573  0.05
Rosenthal 1931   81  0.4329  0.0082  0.0384  0.0342  0.0971  0.05
Rosenthal 1931b   80  0.4374  0.0081  0.0379  0.0334  0.1169  0.06
Rosenthal 1931c   77  0.4662  0.0078  0.0381  0.0357  0.0489  0.03
Rosenthal 1931d   78  0.4445  0.0080  0.0386  0.0349  0.0683  0.04
Rossi 2007   86  0.3263  0.0087  0.0471  0.0474  0.0477  0.04
Rubinstein 1939   67  0.5264  0.0068  0.0470  0.0412  0.3753  0.12
Rubinstein 1952   33  0.6321  0.0014  0.1027  0.239  0.5823  0.37
Rubinstein 1966   19  0.6630  0.0025  0.0925  0.277  0.6019  0.40
Schilhawsky 1960   13  0.6956  0.0019  0.0616  0.3811  0.4618  0.42
Shebanova 2002   12  0.7022  0.0017  0.0714  0.4212  0.5015  0.46
Smith 1975   40  0.6265  0.0054  0.0563  0.0547  0.0570  0.05
Sokolov 2002   36  0.6275  0.0039  0.0537  0.1520  0.3933  0.24
Sztompka 1959   51  0.5834  0.0062  0.0942  0.0971  0.0467  0.06
Tomsic 1995   27  0.6590  0.0041  0.0436  0.1510  0.5527  0.29
Uninsky 1932   53  0.586  0.0061  0.0651  0.0654  0.0668  0.06
Uninsky 1971   45  0.6016  0.0057  0.0747  0.0736  0.1856  0.11
Wasowski 1980   46  0.6076  0.0047  0.0562  0.0522  0.2554  0.11
Zak 1937   1  0.991  0.991  0.981  1.001  1.001  1.00
Zak 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 1   89  -0.1235  0.0089  0.0289  0.0248  0.0588  0.03
Random 2   88  -0.1177  0.0088  0.0288  0.0249  0.0587  0.03
Random 3   90  -0.1746  0.0090  0.0190  0.0186  0.0290  0.01

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).