Zak 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   57  0.2441  0.0053  0.0556  0.0556  0.0470  0.04
Anderszewski 2003   54  0.2542  0.0046  0.0551  0.0533  0.2240  0.10
Ashkenazy 1981   13  0.3912  0.0020  0.1116  0.5252  0.0729  0.19
Bacha 2000   45  0.2922  0.0047  0.0650  0.0635  0.2437  0.12
Badura 1965   61  0.2243  0.0057  0.0746  0.0751  0.0552  0.06
Barbosa 1983   12  0.4013  0.0014  0.138  0.6516  0.528  0.58
Biret 1990   42  0.303  0.0018  0.1218  0.4914  0.6011  0.54
Blet 2003   16  0.3923  0.009  0.109  0.6521  0.547  0.59
Block 1995   26  0.344  0.0038  0.0637  0.1846  0.0641  0.10
Blumental 1952   52  0.2644  0.0060  0.0464  0.0453  0.0571  0.04
Boshniakovich 1969   2  0.5124  0.002  0.562  0.825  0.722  0.77
Brailowsky 1960   30  0.3345  0.0032  0.0827  0.3524  0.5017  0.42
Bunin 1987   36  0.3214  0.0030  0.0831  0.3234  0.2823  0.30
Bunin 1987b   35  0.3246  0.0031  0.1232  0.3234  0.2724  0.29
Chiu 1999   6  0.4325  0.0016  0.1213  0.5750  0.0827  0.21
Cohen 1997   72  0.1447  0.0078  0.0375  0.0363  0.0480  0.03
Cortot 1951   71  0.165  0.0080  0.0377  0.0387  0.0287  0.02
Csalog 1996   24  0.3448  0.0019  0.1217  0.5023  0.4214  0.46
Czerny 1949   85  0.0515  0.0085  0.0286  0.0265  0.0578  0.03
Czerny 1990   83  0.0749  0.0086  0.0385  0.0380  0.0382  0.03
Duchoud 2007   33  0.3350  0.0044  0.0644  0.1148  0.0745  0.09
Ezaki 2006   75  0.1326  0.0076  0.0384  0.0376  0.0373  0.03
Falvay 1989   38  0.3127  0.0043  0.0642  0.1361  0.0448  0.07
Farrell 1958   56  0.2451  0.008  0.1128  0.3428  0.3322  0.33
Ferenczy 1958   76  0.1328  0.0077  0.0381  0.0341  0.2744  0.09
Fliere 1977   40  0.3029  0.0052  0.0648  0.0668  0.0454  0.05
Fou 1978   50  0.2752  0.0042  0.0641  0.1355  0.0546  0.08
Francois 1956   74  0.1453  0.0073  0.0373  0.0357  0.0485  0.03
Friedman 1923   8  0.4254  0.0011  0.155  0.6824  0.536  0.60
Friedman 1923b   7  0.4355  0.0010  0.114  0.7024  0.545  0.61
Friedman 1930   23  0.3556  0.0022  0.1021  0.4443  0.1626  0.27
Garcia 2007   11  0.4216  0.0013  0.1112  0.6118  0.4710  0.54
Garcia 2007b   48  0.2730  0.0040  0.0643  0.1340  0.1734  0.15
Gierzod 1998   66  0.2017  0.0068  0.0747  0.0757  0.0651  0.06
Gornostaeva 1994   79  0.107  0.0072  0.0380  0.0376  0.0381  0.03
Groot 1988   59  0.2457  0.0063  0.0371  0.0377  0.0384  0.03
Harasiewicz 1955   9  0.422  0.006  0.1111  0.6128  0.3116  0.43
Hatto 1993   43  0.2958  0.0050  0.0558  0.0548  0.1049  0.07
Hatto 1997   58  0.2459  0.0065  0.0376  0.0378  0.0377  0.03
Horowitz 1949   21  0.3718  0.0023  0.1022  0.4438  0.3021  0.36
Indjic 1988   31  0.3360  0.0035  0.0736  0.2544  0.1330  0.18
Kapell 1951   20  0.3719  0.0021  0.0825  0.4235  0.1825  0.27
Kissin 1993   63  0.2261  0.0059  0.0557  0.0573  0.0560  0.05
Kushner 1989   41  0.308  0.0048  0.0563  0.0554  0.0658  0.05
Luisada 1991   5  0.4431  0.0012  0.116  0.6827  0.4112  0.53
Lushtak 2004   4  0.4432  0.003  0.277  0.683  0.614  0.64
Malcuzynski 1961   25  0.3433  0.0033  0.0830  0.3342  0.1328  0.21
Magaloff 1978   55  0.256  0.0055  0.0561  0.0554  0.0557  0.05
Magin 1975   44  0.2962  0.0037  0.0738  0.1748  0.0938  0.12
Michalowski 1933   22  0.3563  0.0024  0.1019  0.4936  0.3118  0.39
Milkina 1970   69  0.1664  0.0069  0.0745  0.0754  0.0650  0.06
Mohovich 1999   15  0.3965  0.0017  0.1326  0.3819  0.4019  0.39
Moravec 1969   67  0.2066  0.0071  0.0560  0.0582  0.0362  0.04
Morozova 2008   62  0.2267  0.0058  0.0553  0.0575  0.0469  0.04
Neighaus 1950   3  0.4468  0.005  0.1510  0.6430  0.3015  0.44
Niedzielski 1931   28  0.3469  0.0026  0.0824  0.4257  0.0631  0.16
Ohlsson 1999   29  0.3470  0.0034  0.0733  0.3249  0.0635  0.14
Osinska 1989   19  0.3771  0.0015  0.1314  0.5622  0.529  0.54
Pachmann 1927   14  0.3934  0.007  0.1115  0.5233  0.4413  0.48
Paderewski 1930   60  0.2372  0.0064  0.0468  0.0470  0.0567  0.04
Perlemuter 1992   53  0.2573  0.0056  0.0552  0.0575  0.0463  0.04
Pierdomenico 2008   51  0.2635  0.0066  0.0469  0.0460  0.0465  0.04
Poblocka 1999   49  0.2774  0.0051  0.0555  0.0560  0.0555  0.05
Rabcewiczowa 1932   78  0.1136  0.0082  0.0382  0.0374  0.0376  0.03
Rachmaninoff 1923   64  0.2175  0.0070  0.0562  0.0562  0.0464  0.04
Rangell 2001   18  0.3720  0.0027  0.0820  0.4728  0.2920  0.37
Richter 1976   34  0.3276  0.0049  0.0559  0.0559  0.0659  0.05
Rosen 1989   39  0.309  0.0045  0.0649  0.0656  0.0461  0.05
Rosenthal 1930   87  0.0337  0.0089  0.0189  0.0189  0.0190  0.01
Rosenthal 1931   84  0.0677  0.0079  0.0466  0.0452  0.0568  0.04
Rosenthal 1931b   70  0.1678  0.0061  0.0467  0.0439  0.2342  0.10
Rosenthal 1931c   73  0.1479  0.0062  0.0372  0.0376  0.0288  0.02
Rosenthal 1931d   77  0.1280  0.0074  0.0470  0.0465  0.0383  0.03
Rossi 2007   86  0.0581  0.0075  0.0378  0.0342  0.0956  0.05
Rubinstein 1939   80  0.0982  0.0081  0.0374  0.0382  0.0375  0.03
Rubinstein 1952   65  0.2038  0.0054  0.0465  0.0466  0.0472  0.04
Rubinstein 1966   32  0.3310  0.0025  0.1023  0.4248  0.0632  0.16
Schilhawsky 1960   10  0.4211  0.004  0.253  0.751  0.743  0.74
Shebanova 2002   27  0.3483  0.0036  0.0735  0.2762  0.0736  0.14
Smith 1975   82  0.0884  0.0084  0.0383  0.0373  0.0374  0.03
Sokolov 2002   47  0.2985  0.0039  0.0840  0.1567  0.0347  0.07
Sztompka 1959   81  0.0939  0.0083  0.0379  0.0384  0.0286  0.02
Tomsic 1995   68  0.1986  0.0067  0.0554  0.0574  0.0366  0.04
Uninsky 1932   17  0.3821  0.0028  0.0829  0.3347  0.0833  0.16
Uninsky 1971   37  0.3287  0.0029  0.0834  0.3060  0.0539  0.12
Wasowski 1980   46  0.2940  0.0041  0.0539  0.1776  0.0543  0.09
Zak 1937   1  0.981  1.001  0.991  1.001  1.001  1.00
Zak 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 1   88  0.0088  0.0087  0.0288  0.0248  0.0479  0.03
Random 2   90  -0.1089  0.0090  0.0190  0.0182  0.0289  0.01
Random 3   89  -0.0290  0.0088  0.0287  0.0234  0.1653  0.06

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).