Zak 1937

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   62  0.3271  0.0070  0.0476  0.0464  0.0477  0.04
Anderszewski 2003   58  0.3315  0.0055  0.0555  0.0552  0.0755  0.06
Ashkenazy 1981   20  0.439  0.0027  0.0731  0.2244  0.1633  0.19
Bacha 2000   69  0.3025  0.0076  0.0470  0.0476  0.0382  0.03
Badura 1965   72  0.2972  0.0053  0.0558  0.0538  0.1550  0.09
Barbosa 1983   5  0.4754  0.0010  0.167  0.6314  0.509  0.56
Biret 1990   9  0.4673  0.006  0.258  0.636  0.695  0.66
Blet 2003   26  0.4137  0.0025  0.1020  0.396  0.5713  0.47
Block 1995   32  0.4074  0.0028  0.0734  0.2038  0.1932  0.19
Blumental 1952   42  0.3775  0.0056  0.0553  0.0563  0.0565  0.05
Boshniakovich 1969   2  0.5113  0.002  0.492  0.763  0.732  0.74
Brailowsky 1960   48  0.3647  0.0048  0.0554  0.0533  0.2441  0.11
Bunin 1987   44  0.3738  0.0035  0.0638  0.1728  0.3329  0.24
Bunin 1987b   49  0.3655  0.0037  0.0539  0.1528  0.3728  0.24
Chiu 1999   7  0.4632  0.0016  0.1514  0.5017  0.4712  0.48
Cohen 1997   81  0.2256  0.0081  0.0480  0.0477  0.0385  0.03
Cortot 1951   85  0.1939  0.0086  0.0384  0.0385  0.0289  0.02
Csalog 1996   15  0.4457  0.0012  0.1712  0.527  0.5311  0.52
Czerny 1949   75  0.2676  0.0075  0.0478  0.0464  0.0576  0.04
Czerny 1990   53  0.3440  0.0060  0.0477  0.0481  0.0479  0.04
Duchoud 2007   52  0.3477  0.0065  0.0747  0.0740  0.1149  0.09
Ezaki 2006   50  0.3658  0.0052  0.0559  0.0567  0.0560  0.05
Falvay 1989   6  0.4721  0.0015  0.1513  0.5134  0.2618  0.36
Farrell 1958   55  0.3329  0.0022  0.1030  0.2725  0.3324  0.30
Ferenczy 1958   70  0.2926  0.0073  0.0483  0.0436  0.3640  0.12
Fliere 1977   12  0.4410  0.0023  0.0921  0.3955  0.0636  0.15
Fou 1978   30  0.4048  0.0021  0.0823  0.3839  0.2126  0.28
Francois 1956   79  0.2378  0.0078  0.0474  0.0456  0.0481  0.04
Friedman 1923   17  0.4316  0.0014  0.1810  0.604  0.736  0.66
Friedman 1923b   13  0.4417  0.008  0.116  0.645  0.723  0.68
Friedman 1930   19  0.437  0.0011  0.129  0.616  0.658  0.63
Garcia 2007   43  0.3749  0.0042  0.0642  0.1526  0.3331  0.22
Garcia 2007b   56  0.3341  0.0054  0.0561  0.0564  0.0568  0.05
Gierzod 1998   39  0.384  0.0045  0.0652  0.0650  0.0758  0.06
Gornostaeva 1994   66  0.3027  0.0051  0.0556  0.0567  0.0478  0.04
Groot 1988   60  0.3379  0.0062  0.0651  0.0659  0.0466  0.05
Harasiewicz 1955   4  0.505  0.004  0.254  0.6820  0.4610  0.56
Hatto 1993   31  0.402  0.0043  0.0643  0.1260  0.0551  0.08
Hatto 1997   38  0.3859  0.0049  0.0749  0.0748  0.0556  0.06
Horowitz 1949   61  0.3350  0.0058  0.0471  0.0444  0.1153  0.07
Indjic 1988   22  0.4222  0.0040  0.0732  0.2153  0.0643  0.11
Kapell 1951   10  0.4530  0.007  0.1915  0.4619  0.3716  0.41
Kissin 1993   35  0.3980  0.0039  0.0640  0.1561  0.0648  0.09
Kushner 1989   21  0.4311  0.0017  0.1118  0.4351  0.0634  0.16
Luisada 1991   14  0.446  0.0024  0.1022  0.3829  0.2822  0.33
Lushtak 2004   8  0.4631  0.005  0.255  0.657  0.637  0.64
Malcuzynski 1961   34  0.3933  0.0032  0.0628  0.3050  0.0638  0.13
Magaloff 1978   59  0.333  0.0067  0.0845  0.0871  0.0362  0.05
Magin 1975   28  0.4181  0.0020  0.1119  0.4224  0.4015  0.41
Michalowski 1933   68  0.3060  0.0059  0.0563  0.059  0.5035  0.16
Milkina 1970   64  0.3182  0.0061  0.0467  0.0466  0.0471  0.04
Mohovich 1999   16  0.4483  0.0018  0.1325  0.3531  0.3720  0.36
Moravec 1969   67  0.3061  0.0072  0.0387  0.0372  0.0483  0.03
Morozova 2008   71  0.2951  0.0064  0.0562  0.0569  0.0475  0.04
Neighaus 1950   36  0.3928  0.0044  0.0544  0.1034  0.2437  0.15
Niedzielski 1931   51  0.3534  0.0041  0.0641  0.1528  0.3230  0.22
Ohlsson 1999   27  0.4162  0.0019  0.1017  0.4530  0.2919  0.36
Osinska 1989   3  0.5018  0.003  0.263  0.7111  0.624  0.66
Pachmann 1927   33  0.3963  0.0038  0.0536  0.1812  0.5323  0.31
Paderewski 1930   84  0.2164  0.0079  0.0557  0.0564  0.0473  0.04
Perlemuter 1992   63  0.3235  0.0063  0.0475  0.0451  0.0661  0.05
Pierdomenico 2008   54  0.3414  0.0071  0.0466  0.0443  0.1152  0.07
Poblocka 1999   25  0.4123  0.0029  0.0629  0.3039  0.2527  0.27
Rabcewiczowa 1932   77  0.2484  0.0074  0.0473  0.0477  0.0384  0.03
Rachmaninoff 1923   57  0.3365  0.0066  0.0748  0.0752  0.0554  0.06
Rangell 2001   23  0.4266  0.0030  0.0627  0.3122  0.4817  0.39
Richter 1976   37  0.3867  0.0050  0.0560  0.0558  0.0663  0.05
Rosen 1989   24  0.418  0.0031  0.0626  0.3248  0.0539  0.13
Rosenthal 1930   86  0.1885  0.0087  0.0386  0.0387  0.0287  0.02
Rosenthal 1931   87  0.1768  0.0085  0.0482  0.0451  0.0664  0.05
Rosenthal 1931b   78  0.2386  0.0083  0.0565  0.0547  0.0667  0.05
Rosenthal 1931c   82  0.2224  0.0084  0.0385  0.0386  0.0290  0.02
Rosenthal 1931d   83  0.2287  0.0082  0.0479  0.0456  0.0580  0.04
Rossi 2007   80  0.2242  0.0068  0.0468  0.0428  0.3342  0.11
Rubinstein 1939   74  0.2652  0.0069  0.0564  0.0583  0.0370  0.04
Rubinstein 1952   41  0.3788  0.0036  0.0537  0.1855  0.0647  0.10
Rubinstein 1966   11  0.4543  0.0013  0.1811  0.5734  0.2121  0.35
Schilhawsky 1960   29  0.4019  0.0026  0.0824  0.358  0.5714  0.45
Shebanova 2002   18  0.4369  0.009  0.1316  0.4641  0.1925  0.30
Smith 1975   76  0.2553  0.0080  0.0481  0.0475  0.0469  0.04
Sokolov 2002   47  0.3644  0.0046  0.0650  0.0638  0.1845  0.10
Sztompka 1959   73  0.2889  0.0077  0.0469  0.0472  0.0474  0.04
Tomsic 1995   65  0.3112  0.0057  0.0472  0.0477  0.0472  0.04
Uninsky 1932   46  0.3770  0.0047  0.0746  0.0757  0.0557  0.06
Uninsky 1971   40  0.3720  0.0033  0.0635  0.1958  0.0546  0.10
Wasowski 1980   45  0.3736  0.0034  0.0733  0.2170  0.0544  0.10
Zak 1937   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Zak 1951   1  0.971  1.001  0.981  1.001  1.001  1.00
Random 1   89  -0.0490  0.0089  0.0189  0.0166  0.0388  0.02
Random 2   90  -0.0645  0.0090  0.0190  0.0178  0.0386  0.02
Random 3   88  -0.0346  0.0088  0.0288  0.0235  0.1959  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).