Zak 1937

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   63  0.3272  0.0071  0.0477  0.0465  0.0478  0.04
Anderszewski 2003   59  0.3315  0.0056  0.0556  0.0553  0.0756  0.06
Ashkenazy 1981   21  0.439  0.0028  0.0732  0.2245  0.1634  0.19
Bacha 2000   70  0.3024  0.0077  0.0471  0.0477  0.0383  0.03
Badura 1965   73  0.2973  0.0054  0.0559  0.0539  0.1551  0.09
Barbosa 1983   6  0.4755  0.0011  0.168  0.6315  0.509  0.56
Biret 1990   10  0.4674  0.007  0.259  0.637  0.695  0.66
Blet 2003   27  0.4137  0.0026  0.1021  0.397  0.5713  0.47
Block 1995   33  0.4075  0.0029  0.0735  0.2039  0.1933  0.19
Blumental 1952   43  0.3776  0.0057  0.0554  0.0564  0.0565  0.05
Boshniakovich 1969   3  0.5113  0.003  0.483  0.764  0.732  0.74
Brailowsky 1960   49  0.3648  0.0049  0.0555  0.0534  0.2441  0.11
Bunin 1987   45  0.3738  0.0036  0.0639  0.1729  0.3330  0.24
Bunin 1987b   50  0.3656  0.0038  0.0540  0.1529  0.3729  0.24
Chiu 1999   8  0.4632  0.0017  0.1515  0.5018  0.4712  0.48
Cohen 1997   82  0.2257  0.0082  0.0481  0.0478  0.0386  0.03
Cortot 1951   86  0.1939  0.0087  0.0385  0.0386  0.0290  0.02
Csalog 1996   16  0.4458  0.0013  0.1713  0.528  0.5311  0.52
Czerny 1949   76  0.2677  0.0076  0.0479  0.0465  0.0577  0.04
Czerny 1990   54  0.3440  0.0061  0.0478  0.0482  0.0480  0.04
Duchoud 2007   53  0.3478  0.0066  0.0748  0.0741  0.1150  0.09
Ezaki 2006   51  0.3659  0.0053  0.0560  0.0568  0.0561  0.05
Falvay 1989   7  0.4721  0.0016  0.1414  0.5135  0.2619  0.36
Farrell 1958   56  0.3329  0.0023  0.1031  0.2726  0.3325  0.30
Ferenczy 1958   71  0.2925  0.0074  0.0384  0.0337  0.3647  0.10
Fliere 1977   13  0.4410  0.0024  0.0922  0.3956  0.0637  0.15
Fou 1978   31  0.4049  0.0022  0.0824  0.3840  0.2127  0.28
Francois 1956   80  0.2379  0.0079  0.0475  0.0457  0.0482  0.04
Friedman 1923   18  0.4316  0.0015  0.1711  0.605  0.736  0.66
Friedman 1923b   14  0.4417  0.009  0.117  0.646  0.723  0.68
Friedman 1930   20  0.437  0.0012  0.1210  0.617  0.658  0.63
Garcia 2007   44  0.3750  0.0043  0.0643  0.1527  0.3332  0.22
Garcia 2007b   57  0.3341  0.0055  0.0562  0.0565  0.0568  0.05
Gierzod 1998   40  0.384  0.0046  0.0553  0.0551  0.0759  0.06
Gornostaeva 1994   67  0.3026  0.0052  0.0557  0.0568  0.0479  0.04
Groot 1988   61  0.3380  0.0063  0.0652  0.0660  0.0466  0.05
Harasiewicz 1955   5  0.505  0.005  0.245  0.6821  0.4610  0.56
Hatto 1993   32  0.402  0.0044  0.0544  0.1261  0.0552  0.08
Hatto 1997   39  0.3860  0.0050  0.0750  0.0749  0.0557  0.06
Horowitz 1949   62  0.3351  0.0059  0.0472  0.0445  0.1154  0.07
Indjic 1988   23  0.4227  0.0041  0.0733  0.2154  0.0643  0.11
Kapell 1951   11  0.4530  0.008  0.1816  0.4620  0.3716  0.41
Kissin 1993   36  0.3981  0.0040  0.0641  0.1562  0.0649  0.09
Kushner 1989   22  0.4311  0.0018  0.1119  0.4352  0.0635  0.16
Luisada 1991   15  0.446  0.0025  0.1023  0.3830  0.2823  0.33
Lushtak 2004   9  0.4631  0.006  0.256  0.658  0.637  0.64
Malcuzynski 1961   35  0.3933  0.0033  0.0629  0.3051  0.0639  0.13
Magaloff 1978   60  0.333  0.0068  0.0846  0.0872  0.0363  0.05
Magin 1975   29  0.4182  0.0021  0.1120  0.4225  0.4015  0.41
Michalowski 1933   69  0.3061  0.0060  0.0564  0.0510  0.5036  0.16
Milkina 1970   65  0.3183  0.0062  0.0468  0.0467  0.0471  0.04
Mohovich 1999   17  0.4484  0.0019  0.1226  0.3532  0.3721  0.36
Moravec 1969   68  0.3062  0.0073  0.0388  0.0373  0.0484  0.03
Morozova 2008   72  0.2952  0.0065  0.0563  0.0570  0.0476  0.04
Neighaus 1950   37  0.3928  0.0045  0.0545  0.1035  0.2438  0.15
Niedzielski 1931   52  0.3534  0.0042  0.0642  0.1529  0.3231  0.22
Ohlsson 1999   28  0.4163  0.0020  0.1018  0.4531  0.2920  0.36
Osinska 1989   4  0.5018  0.004  0.254  0.7112  0.624  0.66
Pachmann 1927   34  0.3964  0.0039  0.0537  0.1813  0.5324  0.31
Paderewski 1930   85  0.2165  0.0080  0.0558  0.0565  0.0473  0.04
Perlemuter 1992   64  0.3235  0.0064  0.0476  0.0452  0.0662  0.05
Pierdomenico 2008   55  0.3414  0.0072  0.0467  0.0444  0.1153  0.07
Poblocka 1999   26  0.4122  0.0030  0.0630  0.3040  0.2528  0.27
Rabcewiczowa 1932   78  0.2485  0.0075  0.0474  0.0478  0.0385  0.03
Rachmaninoff 1923   58  0.3366  0.0067  0.0749  0.0753  0.0555  0.06
Rangell 2001   24  0.4267  0.0031  0.0628  0.3123  0.4818  0.39
Richter 1976   38  0.3868  0.0051  0.0561  0.0559  0.0664  0.05
Rosen 1989   25  0.418  0.0032  0.0627  0.3249  0.0540  0.13
Rosenthal 1930   87  0.1886  0.0088  0.0387  0.0388  0.0288  0.02
Rosenthal 1931   88  0.1769  0.0086  0.0383  0.0352  0.0675  0.04
Rosenthal 1931b   79  0.2387  0.0084  0.0466  0.0448  0.0667  0.05
Rosenthal 1931c   83  0.2223  0.0085  0.0386  0.0387  0.0291  0.02
Rosenthal 1931d   84  0.2288  0.0083  0.0480  0.0457  0.0581  0.04
Rossi 2007   81  0.2242  0.0069  0.0469  0.0429  0.3342  0.11
Rubinstein 1939   75  0.2653  0.0070  0.0565  0.0584  0.0370  0.04
Rubinstein 1952   42  0.3789  0.0037  0.0538  0.1856  0.0648  0.10
Rubinstein 1966   12  0.4543  0.0014  0.1812  0.5735  0.2122  0.35
Schilhawsky 1960   30  0.4019  0.0027  0.0825  0.359  0.5714  0.45
Shebanova 2002   19  0.4370  0.0010  0.1317  0.4642  0.1926  0.30
Smith 1975   77  0.2554  0.0081  0.0482  0.0476  0.0469  0.04
Sokolov 2002   48  0.3644  0.0047  0.0651  0.0639  0.1845  0.10
Sztompka 1959   74  0.2890  0.0078  0.0470  0.0473  0.0474  0.04
Tomsic 1995   66  0.3112  0.0058  0.0473  0.0478  0.0472  0.04
Uninsky 1932   47  0.3771  0.0048  0.0747  0.0758  0.0558  0.06
Uninsky 1971   41  0.3720  0.0034  0.0636  0.1959  0.0546  0.10
Wasowski 1980   46  0.3736  0.0035  0.0734  0.2171  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
Average   2  0.6345  0.002  0.692  0.8940  0.1917  0.41
Random 1   90  -0.0491  0.0090  0.0190  0.0165  0.0389  0.02
Random 2   91  -0.0646  0.0091  0.0191  0.0179  0.0387  0.02
Random 3   89  -0.0347  0.0089  0.0289  0.0235  0.2060  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).