Zak 1937

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   60  0.2448  0.0065  0.0750  0.0760  0.0465  0.05
Anderszewski 2003   65  0.2049  0.0060  0.0660  0.0649  0.0751  0.06
Ashkenazy 1981   18  0.4014  0.0023  0.1118  0.4957  0.0732  0.19
Bacha 2000   56  0.2550  0.0061  0.0657  0.0656  0.0553  0.05
Badura 1965   64  0.2119  0.0056  0.0566  0.0547  0.0667  0.05
Barbosa 1983   15  0.4151  0.0017  0.1412  0.6513  0.5810  0.61
Biret 1990   45  0.3052  0.0019  0.0926  0.4017  0.5914  0.49
Blet 2003   14  0.4153  0.0011  0.119  0.6814  0.637  0.65
Block 1995   29  0.357  0.0037  0.0644  0.1357  0.0544  0.08
Blumental 1952   58  0.2454  0.0066  0.0946  0.0948  0.0647  0.07
Boshniakovich 1969   3  0.532  0.002  0.493  0.825  0.742  0.78
Brailowsky 1960   34  0.3455  0.0033  0.0833  0.3319  0.5318  0.42
Bunin 1987   31  0.3456  0.0031  0.0927  0.3832  0.3527  0.36
Bunin 1987b   30  0.3420  0.0032  0.1229  0.3732  0.3525  0.36
Chiu 1999   9  0.4527  0.0015  0.1113  0.6332  0.3616  0.48
Cohen 1997   74  0.1228  0.0078  0.0373  0.0370  0.0378  0.03
Cortot 1951   69  0.1557  0.0080  0.0384  0.0382  0.0288  0.02
Csalog 1996   23  0.3758  0.0014  0.1214  0.5517  0.5111  0.53
Czerny 1949   87  0.0459  0.0087  0.0287  0.0269  0.0477  0.03
Czerny 1990   75  0.1260  0.0083  0.0383  0.0373  0.0379  0.03
Duchoud 2007   22  0.3729  0.0036  0.0735  0.2747  0.0836  0.15
Ezaki 2006   79  0.1030  0.0077  0.0381  0.0379  0.0373  0.03
Falvay 1989   43  0.309  0.0049  0.0563  0.0567  0.0371  0.04
Farrell 1958   50  0.2861  0.0013  0.1528  0.3721  0.4620  0.41
Ferenczy 1958   82  0.0962  0.0082  0.0374  0.0351  0.0764  0.05
Fliere 1977   32  0.3463  0.0042  0.0839  0.1955  0.0638  0.11
Fou 1978   52  0.2764  0.0040  0.0640  0.1852  0.0542  0.09
Francois 1956   80  0.1065  0.0081  0.0379  0.0379  0.0289  0.02
Friedman 1923   8  0.4621  0.006  0.155  0.7415  0.694  0.71
Friedman 1923b   4  0.4722  0.005  0.184  0.7514  0.703  0.72
Friedman 1930   25  0.365  0.0022  0.1121  0.4741  0.3323  0.39
Garcia 2007   6  0.476  0.009  0.117  0.6913  0.598  0.64
Garcia 2007b   42  0.3031  0.0034  0.0737  0.2334  0.3330  0.28
Gierzod 1998   70  0.1532  0.0069  0.0567  0.0559  0.0666  0.05
Gornostaeva 1994   81  0.0966  0.0073  0.0378  0.0382  0.0287  0.02
Groot 1988   53  0.2767  0.0059  0.0562  0.0571  0.0472  0.04
Harasiewicz 1955   12  0.4233  0.0016  0.1216  0.5330  0.3022  0.40
Hatto 1993   46  0.3034  0.0051  0.0656  0.0662  0.0752  0.06
Hatto 1997   57  0.2468  0.0062  0.0655  0.0662  0.0463  0.05
Horowitz 1949   11  0.4235  0.0018  0.1217  0.5226  0.5113  0.51
Indjic 1988   36  0.3336  0.0044  0.0542  0.1350  0.0841  0.10
Kapell 1951   17  0.4069  0.0021  0.1125  0.4429  0.3124  0.37
Kissin 1993   61  0.2437  0.0052  0.0570  0.0567  0.0561  0.05
Kushner 1989   48  0.2915  0.0055  0.0748  0.0771  0.0458  0.05
Luisada 1991   5  0.4770  0.008  0.146  0.7319  0.586  0.65
Lushtak 2004   10  0.4310  0.004  0.1911  0.665  0.619  0.63
Malcuzynski 1961   40  0.3123  0.0048  0.0653  0.0660  0.0559  0.05
Magaloff 1978   55  0.2538  0.0054  0.0654  0.0660  0.0557  0.05
Magin 1975   49  0.2871  0.0038  0.0641  0.1644  0.1633  0.16
Michalowski 1933   27  0.3672  0.0028  0.1022  0.4633  0.3521  0.40
Milkina 1970   71  0.1373  0.0068  0.0471  0.0474  0.0375  0.03
Mohovich 1999   21  0.3874  0.0024  0.1131  0.3623  0.3726  0.36
Moravec 1969   66  0.2039  0.0070  0.0751  0.0787  0.0269  0.04
Morozova 2008   63  0.2240  0.0053  0.0564  0.0558  0.0562  0.05
Neighaus 1950   7  0.4611  0.007  0.168  0.6825  0.3515  0.49
Niedzielski 1931   28  0.3575  0.0029  0.1023  0.4643  0.1729  0.28
Ohlsson 1999   35  0.3376  0.0039  0.0736  0.2573  0.0440  0.10
Osinska 1989   26  0.3677  0.0020  0.1019  0.4728  0.4517  0.46
Pachmann 1927   16  0.4041  0.0012  0.1215  0.5324  0.5212  0.52
Paderewski 1930   62  0.2442  0.0063  0.0749  0.0763  0.0650  0.06
Perlemuter 1992   59  0.2443  0.0058  0.0565  0.0552  0.0554  0.05
Pierdomenico 2008   41  0.3178  0.0050  0.0659  0.0646  0.0748  0.06
Poblocka 1999   44  0.3079  0.0041  0.0638  0.1951  0.0539  0.10
Rabcewiczowa 1932   78  0.1180  0.0084  0.0382  0.0376  0.0374  0.03
Rachmaninoff 1923   54  0.263  0.0064  0.0661  0.0675  0.0370  0.04
Rangell 2001   19  0.4044  0.0026  0.0920  0.4720  0.3819  0.42
Richter 1976   33  0.3424  0.0046  0.0747  0.0755  0.0649  0.06
Rosen 1989   39  0.3216  0.0045  0.0645  0.1264  0.0446  0.07
Rosenthal 1930   85  0.0525  0.0089  0.0189  0.0188  0.0291  0.01
Rosenthal 1931   88  0.0281  0.0079  0.0376  0.0380  0.0284  0.02
Rosenthal 1931b   73  0.1317  0.0071  0.0568  0.0544  0.1345  0.08
Rosenthal 1931c   76  0.1282  0.0072  0.0372  0.0372  0.0381  0.03
Rosenthal 1931d   77  0.1183  0.0074  0.0375  0.0365  0.0380  0.03
Rossi 2007   86  0.0484  0.0075  0.0385  0.0345  0.0956  0.05
Rubinstein 1939   84  0.0785  0.0085  0.0377  0.0389  0.0283  0.02
Rubinstein 1952   67  0.1986  0.0057  0.0569  0.0552  0.0668  0.05
Rubinstein 1966   37  0.3345  0.0030  0.0932  0.3477  0.0437  0.12
Schilhawsky 1960   20  0.4087  0.0010  0.1310  0.672  0.715  0.69
Shebanova 2002   24  0.3746  0.0027  0.0824  0.4558  0.0831  0.19
Smith 1975   83  0.0788  0.0086  0.0286  0.0283  0.0282  0.02
Sokolov 2002   51  0.2818  0.0047  0.0752  0.0750  0.0455  0.05
Sztompka 1959   72  0.1312  0.0076  0.0380  0.0379  0.0376  0.03
Tomsic 1995   68  0.1726  0.0067  0.0658  0.0671  0.0460  0.05
Uninsky 1932   13  0.414  0.0025  0.1030  0.3650  0.0734  0.16
Uninsky 1971   47  0.2989  0.0043  0.0643  0.1355  0.0643  0.09
Wasowski 1980   38  0.3247  0.0035  0.0734  0.2847  0.0835  0.15
Zak 1937   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Zak 1951   1  0.981  1.001  0.981  1.001  1.001  1.00
Average   2  0.5613  0.003  0.482  0.8238  0.1428  0.34
Random 1   89  0.0090  0.0088  0.0288  0.0265  0.0385  0.02
Random 2   91  -0.1191  0.0091  0.0191  0.0188  0.0190  0.01
Random 3   90  -0.048  0.0090  0.0190  0.0147  0.0486  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).