Zak 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   62  0.3952  0.0076  0.0649  0.0645  0.0767  0.06
Anderszewski 2003   40  0.4553  0.0055  0.0464  0.0454  0.0669  0.05
Ashkenazy 1981   39  0.4637  0.0064  0.0551  0.0530  0.2654  0.11
Bacha 2000   72  0.3654  0.0078  0.0471  0.0471  0.0382  0.03
Badura 1965   66  0.3855  0.0035  0.0534  0.1735  0.1934  0.18
Barbosa 1983   12  0.5556  0.0020  0.1516  0.5337  0.2121  0.33
Biret 1990   3  0.6338  0.002  0.314  0.743  0.634  0.68
Blet 2003   64  0.3957  0.0062  0.0647  0.0641  0.1360  0.09
Block 1995   44  0.4358  0.0053  0.0555  0.0537  0.2056  0.10
Blumental 1952   28  0.5022  0.0033  0.0636  0.1546  0.0853  0.11
Boshniakovich 1969   26  0.5039  0.0010  0.1214  0.5818  0.3917  0.48
Brailowsky 1960   65  0.3910  0.0073  0.0465  0.0466  0.0575  0.04
Bunin 1987   50  0.4240  0.0047  0.0468  0.0428  0.2557  0.10
Bunin 1987b   54  0.4159  0.0048  0.0463  0.0425  0.3150  0.11
Chiu 1999   34  0.4860  0.0034  0.0535  0.169  0.4525  0.27
Cohen 1997   76  0.3341  0.0071  0.0466  0.0431  0.1762  0.08
Cortot 1951   87  0.2161  0.0087  0.0386  0.0365  0.0388  0.03
Csalog 1996   16  0.544  0.0016  0.1315  0.5511  0.5112  0.53
Czerny 1949   33  0.487  0.0027  0.0929  0.2939  0.3223  0.30
Czerny 1990   13  0.5519  0.0019  0.1513  0.5837  0.4018  0.48
Duchoud 2007   77  0.3242  0.0066  0.0380  0.0323  0.4547  0.12
Ezaki 2006   5  0.6243  0.005  0.175  0.7115  0.537  0.61
Falvay 1989   4  0.633  0.004  0.273  0.747  0.662  0.70
Farrell 1958   49  0.4218  0.0037  0.0537  0.1139  0.2436  0.16
Ferenczy 1958   38  0.4662  0.0042  0.0439  0.1031  0.3433  0.18
Fliere 1977   15  0.5423  0.0026  0.1125  0.3665  0.0542  0.13
Fou 1978   19  0.5213  0.0029  0.1127  0.3438  0.1727  0.24
Francois 1956   68  0.3863  0.0044  0.0444  0.0718  0.3838  0.16
Friedman 1923   63  0.3912  0.0041  0.0438  0.1017  0.5129  0.23
Friedman 1923b   59  0.4064  0.0043  0.0540  0.1012  0.5328  0.23
Friedman 1930   22  0.5124  0.0013  0.1610  0.613  0.745  0.67
Garcia 2007   78  0.3265  0.0074  0.0554  0.0546  0.0671  0.05
Garcia 2007b   61  0.3944  0.0059  0.0552  0.0557  0.0573  0.05
Gierzod 1998   6  0.6031  0.006  0.157  0.6721  0.478  0.56
Gornostaeva 1994   14  0.5432  0.0015  0.1219  0.5116  0.4914  0.50
Groot 1988   53  0.4266  0.0051  0.0559  0.0555  0.0572  0.05
Harasiewicz 1955   11  0.5545  0.0018  0.1611  0.5932  0.4116  0.49
Hatto 1993   29  0.5033  0.0032  0.0632  0.2748  0.0548  0.12
Hatto 1997   21  0.5125  0.0030  0.1026  0.3446  0.0641  0.14
Horowitz 1949   84  0.2546  0.0086  0.0382  0.0376  0.0383  0.03
Indjic 1988   27  0.5067  0.0031  0.0730  0.2947  0.0644  0.13
Kapell 1951   24  0.5168  0.0017  0.1224  0.4032  0.3820  0.39
Kissin 1993   30  0.4969  0.0052  0.0556  0.0542  0.2352  0.11
Kushner 1989   8  0.5826  0.007  0.166  0.6722  0.4310  0.54
Luisada 1991   43  0.4370  0.0060  0.0550  0.0541  0.1858  0.09
Lushtak 2004   25  0.5171  0.0012  0.1517  0.5322  0.4615  0.49
Malcuzynski 1961   32  0.4815  0.0024  0.1121  0.4544  0.1526  0.26
Magaloff 1978   56  0.4027  0.0075  0.0560  0.0577  0.0376  0.04
Magin 1975   10  0.5634  0.009  0.119  0.648  0.616  0.62
Michalowski 1933   85  0.2372  0.0081  0.0383  0.0315  0.4451  0.11
Milkina 1970   17  0.5220  0.0021  0.1618  0.5263  0.0537  0.16
Mohovich 1999   18  0.5273  0.0023  0.1022  0.4235  0.2124  0.30
Moravec 1969   55  0.4174  0.0072  0.0377  0.0360  0.0574  0.04
Morozova 2008   70  0.378  0.0063  0.0646  0.0648  0.0864  0.07
Neighaus 1950   83  0.3075  0.0080  0.0287  0.0270  0.0487  0.03
Niedzielski 1931   73  0.3576  0.0065  0.0472  0.0425  0.3049  0.11
Ohlsson 1999   31  0.4947  0.0011  0.1220  0.509  0.5611  0.53
Osinska 1989   2  0.642  0.003  0.422  0.7613  0.633  0.69
Pachmann 1927   71  0.3648  0.0069  0.0384  0.0316  0.4746  0.12
Paderewski 1930   86  0.2177  0.0079  0.0381  0.0353  0.0577  0.04
Perlemuter 1992   67  0.3878  0.0061  0.0558  0.0524  0.3543  0.13
Pierdomenico 2008   69  0.3779  0.0058  0.0553  0.0524  0.4440  0.15
Poblocka 1999   23  0.5180  0.0028  0.0931  0.2847  0.1132  0.18
Rabcewiczowa 1932   57  0.4049  0.0046  0.0462  0.0448  0.0668  0.05
Rachmaninoff 1923   46  0.4316  0.0050  0.0461  0.0431  0.2755  0.10
Rangell 2001   48  0.4317  0.0040  0.0443  0.0827  0.3735  0.17
Richter 1976   51  0.4211  0.0068  0.0470  0.0465  0.0384  0.03
Rosen 1989   20  0.5235  0.0025  0.1123  0.4119  0.4319  0.42
Rosenthal 1930   81  0.3181  0.0085  0.0379  0.0366  0.0486  0.03
Rosenthal 1931   79  0.325  0.0083  0.0474  0.0470  0.0479  0.04
Rosenthal 1931b   74  0.346  0.0082  0.0475  0.0468  0.0481  0.04
Rosenthal 1931c   80  0.319  0.0084  0.0378  0.0375  0.0489  0.03
Rosenthal 1931d   75  0.3382  0.0077  0.0469  0.0438  0.1763  0.08
Rossi 2007   58  0.4021  0.0039  0.0442  0.0915  0.4431  0.20
Rubinstein 1939   35  0.4750  0.0045  0.0473  0.0436  0.2259  0.09
Rubinstein 1952   9  0.5783  0.0014  0.1312  0.5925  0.4413  0.51
Rubinstein 1966   7  0.5884  0.008  0.188  0.6626  0.469  0.55
Schilhawsky 1960   47  0.4328  0.0049  0.0467  0.0462  0.0480  0.04
Shebanova 2002   37  0.4685  0.0022  0.1128  0.3123  0.3422  0.32
Smith 1975   36  0.4751  0.0036  0.0733  0.1737  0.2530  0.21
Sokolov 2002   41  0.4586  0.0056  0.0648  0.0629  0.3639  0.15
Sztompka 1959   60  0.3987  0.0067  0.0385  0.0351  0.0578  0.04
Tomsic 1995   42  0.4429  0.0038  0.0541  0.0939  0.1745  0.12
Uninsky 1932   82  0.3088  0.0070  0.0376  0.0347  0.0770  0.05
Uninsky 1971   45  0.4314  0.0057  0.0745  0.0750  0.0666  0.06
Wasowski 1980   52  0.4230  0.0054  0.0557  0.0547  0.0765  0.06
Zak 1937   1  0.961  0.991  0.981  0.991  0.991  0.99
Zak 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 1   90  -0.0936  0.0090  0.0190  0.0165  0.0390  0.02
Random 2   88  0.0089  0.0089  0.0289  0.0258  0.0485  0.03
Random 3   89  -0.0290  0.0088  0.0288  0.0215  0.3361  0.08

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).