Zak 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   63  0.3279  0.0075  0.0475  0.0474  0.0385  0.03
Anderszewski 2003   51  0.3542  0.0051  0.0558  0.0546  0.0859  0.06
Ashkenazy 1981   19  0.4312  0.0026  0.0735  0.2047  0.1036  0.14
Bacha 2000   60  0.3231  0.0071  0.0467  0.0450  0.0662  0.05
Badura 1965   69  0.3080  0.0049  0.0554  0.0536  0.1649  0.09
Barbosa 1983   6  0.4728  0.008  0.138  0.6217  0.488  0.55
Biret 1990   9  0.4681  0.005  0.225  0.665  0.733  0.69
Blet 2003   34  0.3982  0.0029  0.0626  0.3014  0.5019  0.39
Block 1995   35  0.3932  0.0038  0.0636  0.1945  0.1235  0.15
Blumental 1952   37  0.3823  0.0056  0.0647  0.0648  0.0760  0.06
Boshniakovich 1969   3  0.513  0.003  0.413  0.776  0.712  0.74
Brailowsky 1960   48  0.3633  0.0055  0.0551  0.0536  0.2144  0.10
Bunin 1987   43  0.3718  0.0027  0.0733  0.2025  0.3726  0.27
Bunin 1987b   47  0.3758  0.0028  0.0638  0.1920  0.4224  0.28
Chiu 1999   10  0.4659  0.0018  0.1017  0.4420  0.3815  0.41
Cohen 1997   81  0.2483  0.0081  0.0466  0.0458  0.0478  0.04
Cortot 1951   87  0.1860  0.0087  0.0384  0.0383  0.0289  0.02
Csalog 1996   14  0.4417  0.0012  0.2012  0.516  0.5410  0.52
Czerny 1949   76  0.272  0.0073  0.0385  0.0358  0.0577  0.04
Czerny 1990   68  0.3161  0.0074  0.0469  0.0453  0.0669  0.05
Duchoud 2007   58  0.3384  0.0065  0.0561  0.0556  0.0668  0.05
Ezaki 2006   39  0.3843  0.0047  0.0650  0.0654  0.0757  0.06
Falvay 1989   8  0.477  0.0014  0.1211  0.5231  0.3117  0.40
Farrell 1958   55  0.3362  0.0025  0.1030  0.2428  0.3125  0.27
Ferenczy 1958   71  0.3034  0.0077  0.0473  0.0435  0.3840  0.12
Fliere 1977   21  0.4244  0.0039  0.0637  0.1974  0.0447  0.09
Fou 1978   32  0.3924  0.0035  0.0632  0.2149  0.0642  0.11
Francois 1956   77  0.2629  0.0069  0.0476  0.0453  0.0481  0.04
Friedman 1923   27  0.4119  0.0023  0.1120  0.4312  0.6211  0.52
Friedman 1923b   24  0.4185  0.0021  0.1016  0.4513  0.629  0.53
Friedman 1930   17  0.4315  0.0011  0.149  0.558  0.656  0.60
Garcia 2007   44  0.3713  0.0040  0.0634  0.2024  0.3527  0.26
Garcia 2007b   56  0.3345  0.0050  0.0464  0.0441  0.1356  0.07
Gierzod 1998   30  0.409  0.0032  0.0628  0.2569  0.0543  0.11
Gornostaeva 1994   62  0.3235  0.0042  0.0545  0.1156  0.0555  0.07
Groot 1988   57  0.3363  0.0059  0.0553  0.0572  0.0480  0.04
Harasiewicz 1955   5  0.4920  0.007  0.217  0.6428  0.3812  0.49
Hatto 1993   31  0.4036  0.0046  0.0552  0.0556  0.0761  0.06
Hatto 1997   38  0.3864  0.0053  0.0557  0.0568  0.0475  0.04
Horowitz 1949   67  0.3110  0.0063  0.0471  0.0451  0.0666  0.05
Indjic 1988   22  0.428  0.0037  0.0531  0.2147  0.0838  0.13
Kapell 1951   13  0.4465  0.009  0.1321  0.4321  0.3518  0.39
Kissin 1993   49  0.3637  0.0060  0.0468  0.0453  0.0767  0.05
Kushner 1989   15  0.4422  0.0015  0.1015  0.4862  0.0533  0.15
Luisada 1991   16  0.4438  0.0020  0.0923  0.4126  0.3021  0.35
Lushtak 2004   7  0.4746  0.006  0.386  0.656  0.675  0.66
Malcuzynski 1961   25  0.4121  0.0022  0.1019  0.4346  0.0829  0.19
Magaloff 1978   59  0.3230  0.0070  0.0480  0.0475  0.0382  0.03
Magin 1975   20  0.4247  0.0016  0.1014  0.4820  0.4613  0.47
Michalowski 1933   73  0.2966  0.0062  0.0465  0.0416  0.4337  0.13
Milkina 1970   53  0.3439  0.0048  0.0648  0.0653  0.0658  0.06
Mohovich 1999   12  0.4567  0.0013  0.1622  0.4129  0.4216  0.41
Moravec 1969   70  0.3048  0.0076  0.0382  0.0385  0.0286  0.02
Morozova 2008   72  0.2986  0.0064  0.0474  0.0467  0.0474  0.04
Neighaus 1950   46  0.3749  0.0052  0.0555  0.0544  0.1650  0.09
Niedzielski 1931   52  0.3550  0.0045  0.0644  0.1232  0.2730  0.18
Ohlsson 1999   23  0.4251  0.0019  0.1018  0.4432  0.2920  0.36
Osinska 1989   4  0.505  0.004  0.274  0.729  0.654  0.68
Pachmann 1927   40  0.3868  0.0044  0.0543  0.1218  0.4728  0.24
Paderewski 1930   85  0.2269  0.0080  0.0481  0.0467  0.0472  0.04
Perlemuter 1992   64  0.3287  0.0061  0.0472  0.0473  0.0470  0.04
Pierdomenico 2008   65  0.3252  0.0078  0.0463  0.0459  0.0471  0.04
Poblocka 1999   33  0.3988  0.0043  0.0542  0.1349  0.0745  0.10
Rabcewiczowa 1932   78  0.2570  0.0072  0.0383  0.0376  0.0484  0.03
Rachmaninoff 1923   61  0.3253  0.0066  0.0559  0.0559  0.0563  0.05
Rangell 2001   29  0.4040  0.0033  0.0627  0.2729  0.4323  0.34
Richter 1976   42  0.3771  0.0058  0.0846  0.0848  0.0753  0.07
Rosen 1989   26  0.4154  0.0030  0.0624  0.3745  0.0831  0.17
Rosenthal 1930   88  0.1789  0.0088  0.0388  0.0387  0.0287  0.02
Rosenthal 1931   86  0.1955  0.0086  0.0470  0.0445  0.1454  0.07
Rosenthal 1931b   79  0.2590  0.0082  0.0387  0.0339  0.2152  0.08
Rosenthal 1931c   83  0.234  0.0085  0.0386  0.0382  0.0290  0.02
Rosenthal 1931d   82  0.2372  0.0083  0.0478  0.0453  0.0579  0.04
Rossi 2007   84  0.2256  0.0067  0.0479  0.0422  0.3739  0.12
Rubinstein 1939   74  0.2873  0.0068  0.0477  0.0478  0.0383  0.03
Rubinstein 1952   36  0.3891  0.0031  0.0629  0.2453  0.0641  0.12
Rubinstein 1966   11  0.4674  0.0010  0.1510  0.5434  0.2322  0.35
Schilhawsky 1960   18  0.4316  0.0017  0.1113  0.494  0.657  0.56
Shebanova 2002   28  0.4075  0.0024  0.1025  0.3449  0.0734  0.15
Smith 1975   75  0.2725  0.0079  0.0560  0.0560  0.0564  0.05
Sokolov 2002   45  0.3726  0.0041  0.0741  0.1340  0.1732  0.15
Sztompka 1959   80  0.2476  0.0084  0.0562  0.0588  0.0373  0.04
Tomsic 1995   66  0.3157  0.0057  0.0649  0.0660  0.0565  0.05
Uninsky 1932   54  0.3477  0.0054  0.0556  0.0585  0.0376  0.04
Uninsky 1971   41  0.3711  0.0034  0.0639  0.1858  0.0548  0.09
Wasowski 1980   50  0.3514  0.0036  0.0740  0.1558  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
Average   2  0.636  0.002  0.682  0.8839  0.2014  0.42
Random 1   90  -0.0478  0.0090  0.0190  0.0161  0.0388  0.02
Random 2   91  -0.0541  0.0091  0.0191  0.0182  0.0291  0.01
Random 3   89  -0.0227  0.0089  0.0289  0.0217  0.3551  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).