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  0.3278  0.0074  0.0474  0.0473  0.0477  0.04
Anderszewski 2003   50  0.3542  0.0050  0.0557  0.0545  0.0858  0.06
Ashkenazy 1981   18  0.4312  0.0025  0.0734  0.2046  0.1036  0.14
Bacha 2000   59  0.3231  0.0070  0.0466  0.0449  0.0661  0.05
Badura 1965   68  0.3079  0.0048  0.0553  0.0535  0.1648  0.09
Barbosa 1983   5  0.4728  0.007  0.137  0.6216  0.488  0.55
Biret 1990   8  0.4680  0.004  0.234  0.664  0.733  0.69
Blet 2003   33  0.3981  0.0028  0.0625  0.3013  0.5018  0.39
Block 1995   34  0.3932  0.0037  0.0635  0.1944  0.1234  0.15
Blumental 1952   36  0.3822  0.0055  0.0646  0.0647  0.0759  0.06
Boshniakovich 1969   2  0.513  0.002  0.412  0.775  0.712  0.74
Brailowsky 1960   47  0.3633  0.0054  0.0650  0.0635  0.2141  0.11
Bunin 1987   42  0.3718  0.0026  0.0732  0.2024  0.3725  0.27
Bunin 1987b   46  0.3758  0.0027  0.0637  0.1919  0.4223  0.28
Chiu 1999   9  0.4659  0.0017  0.1016  0.4419  0.3814  0.41
Cohen 1997   80  0.2482  0.0080  0.0465  0.0457  0.0478  0.04
Cortot 1951   86  0.1860  0.0086  0.0383  0.0382  0.0288  0.02
Csalog 1996   13  0.4417  0.0011  0.2111  0.515  0.5410  0.52
Czerny 1949   75  0.272  0.0072  0.0384  0.0357  0.0576  0.04
Czerny 1990   67  0.3161  0.0073  0.0468  0.0452  0.0668  0.05
Duchoud 2007   57  0.3383  0.0064  0.0560  0.0555  0.0667  0.05
Ezaki 2006   38  0.3843  0.0046  0.0649  0.0653  0.0756  0.06
Falvay 1989   7  0.476  0.0013  0.1210  0.5230  0.3116  0.40
Farrell 1958   54  0.3362  0.0024  0.1029  0.2427  0.3124  0.27
Ferenczy 1958   70  0.3034  0.0076  0.0472  0.0434  0.3839  0.12
Fliere 1977   20  0.4244  0.0038  0.0636  0.1973  0.0447  0.09
Fou 1978   31  0.3923  0.0034  0.0631  0.2148  0.0642  0.11
Francois 1956   76  0.2629  0.0068  0.0475  0.0452  0.0581  0.04
Friedman 1923   26  0.4119  0.0022  0.1119  0.4311  0.6211  0.52
Friedman 1923b   23  0.4184  0.0020  0.1015  0.4512  0.629  0.53
Friedman 1930   16  0.4314  0.0010  0.158  0.557  0.656  0.60
Garcia 2007   43  0.3711  0.0039  0.0633  0.2023  0.3526  0.26
Garcia 2007b   55  0.3345  0.0049  0.0463  0.0440  0.1355  0.07
Gierzod 1998   29  0.407  0.0031  0.0627  0.2568  0.0543  0.11
Gornostaeva 1994   61  0.3235  0.0041  0.0544  0.1155  0.0554  0.07
Groot 1988   56  0.3363  0.0058  0.0552  0.0571  0.0480  0.04
Harasiewicz 1955   4  0.4920  0.006  0.216  0.6427  0.3812  0.49
Hatto 1993   30  0.4036  0.0045  0.0651  0.0655  0.0760  0.06
Hatto 1997   37  0.3864  0.0052  0.0556  0.0567  0.0474  0.04
Horowitz 1949   66  0.319  0.0062  0.0470  0.0450  0.0665  0.05
Indjic 1988   21  0.428  0.0036  0.0530  0.2146  0.0935  0.14
Kapell 1951   12  0.4465  0.008  0.1320  0.4320  0.3517  0.39
Kissin 1993   48  0.3637  0.0059  0.0467  0.0452  0.0766  0.05
Kushner 1989   14  0.4421  0.0014  0.1014  0.4861  0.0532  0.15
Luisada 1991   15  0.4438  0.0019  0.0922  0.4125  0.3020  0.35
Lushtak 2004   6  0.4746  0.005  0.385  0.655  0.675  0.66
Malcuzynski 1961   24  0.4115  0.0021  0.1118  0.4345  0.0828  0.19
Magaloff 1978   58  0.3224  0.0069  0.0479  0.0474  0.0382  0.03
Magin 1975   19  0.4247  0.0015  0.1013  0.4819  0.4613  0.47
Michalowski 1933   72  0.2966  0.0061  0.0464  0.0415  0.4337  0.13
Milkina 1970   52  0.3439  0.0047  0.0647  0.0652  0.0657  0.06
Mohovich 1999   11  0.4567  0.0012  0.1621  0.4128  0.4215  0.41
Moravec 1969   69  0.3048  0.0075  0.0381  0.0384  0.0285  0.02
Morozova 2008   71  0.2985  0.0063  0.0473  0.0466  0.0473  0.04
Neighaus 1950   45  0.3749  0.0051  0.0554  0.0543  0.1649  0.09
Niedzielski 1931   51  0.3550  0.0044  0.0643  0.1231  0.2729  0.18
Ohlsson 1999   22  0.4251  0.0018  0.1017  0.4431  0.2919  0.36
Osinska 1989   3  0.505  0.003  0.283  0.728  0.654  0.68
Pachmann 1927   39  0.3868  0.0043  0.0542  0.1217  0.4727  0.24
Paderewski 1930   84  0.2269  0.0079  0.0480  0.0466  0.0471  0.04
Perlemuter 1992   63  0.3286  0.0060  0.0471  0.0472  0.0469  0.04
Pierdomenico 2008   64  0.3252  0.0077  0.0462  0.0458  0.0470  0.04
Poblocka 1999   32  0.3987  0.0042  0.0541  0.1348  0.0744  0.10
Rabcewiczowa 1932   77  0.2570  0.0071  0.0382  0.0375  0.0484  0.03
Rachmaninoff 1923   60  0.3253  0.0065  0.0558  0.0558  0.0562  0.05
Rangell 2001   28  0.4040  0.0032  0.0626  0.2728  0.4322  0.34
Richter 1976   41  0.3754  0.0057  0.0845  0.0847  0.0752  0.07
Rosen 1989   25  0.4155  0.0029  0.0623  0.3744  0.0830  0.17
Rosenthal 1930   87  0.1788  0.0087  0.0387  0.0386  0.0286  0.02
Rosenthal 1931   85  0.1956  0.0085  0.0469  0.0444  0.1453  0.07
Rosenthal 1931b   78  0.2589  0.0081  0.0386  0.0338  0.2151  0.08
Rosenthal 1931c   82  0.234  0.0084  0.0385  0.0381  0.0289  0.02
Rosenthal 1931d   81  0.2371  0.0082  0.0477  0.0452  0.0579  0.04
Rossi 2007   83  0.2257  0.0066  0.0478  0.0421  0.3738  0.12
Rubinstein 1939   73  0.2872  0.0067  0.0476  0.0477  0.0383  0.03
Rubinstein 1952   35  0.3890  0.0030  0.0628  0.2452  0.0640  0.12
Rubinstein 1966   10  0.4673  0.009  0.159  0.5433  0.2321  0.35
Schilhawsky 1960   17  0.4316  0.0016  0.1112  0.493  0.657  0.56
Shebanova 2002   27  0.4074  0.0023  0.1024  0.3448  0.0733  0.15
Smith 1975   74  0.2725  0.0078  0.0559  0.0559  0.0563  0.05
Sokolov 2002   44  0.3726  0.0040  0.0740  0.1339  0.1731  0.15
Sztompka 1959   79  0.2475  0.0083  0.0561  0.0587  0.0372  0.04
Tomsic 1995   65  0.3130  0.0056  0.0648  0.0659  0.0564  0.05
Uninsky 1932   53  0.3476  0.0053  0.0555  0.0584  0.0375  0.04
Uninsky 1971   40  0.3710  0.0033  0.0638  0.1857  0.0645  0.10
Wasowski 1980   49  0.3513  0.0035  0.0739  0.1557  0.0546  0.09
Zak 1937   1  0.971  1.001  0.981  1.001  1.001  1.00
Zak 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 1   89  -0.0477  0.0089  0.0189  0.0161  0.0387  0.02
Random 2   90  -0.0541  0.0090  0.0190  0.0181  0.0290  0.01
Random 3   88  -0.0227  0.0088  0.0288  0.0217  0.3450  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).