Zak 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   16  0.6551  0.0022  0.0916  0.4621  0.4518  0.45
Anderszewski 2003   42  0.5852  0.0049  0.0748  0.0736  0.2957  0.14
Ashkenazy 1981   19  0.6553  0.0023  0.1029  0.3211  0.4630  0.38
Bacha 2000   73  0.4654  0.0074  0.0570  0.0556  0.0479  0.04
Badura 1965   47  0.5655  0.0025  0.0736  0.1518  0.4638  0.26
Barbosa 1983   50  0.5556  0.0040  0.0638  0.1418  0.4937  0.26
Biret 1990   10  0.6715  0.005  0.123  0.674  0.633  0.65
Blet 2003   64  0.5157  0.0068  0.0569  0.0531  0.2068  0.10
Block 1995   59  0.5258  0.0058  0.0563  0.0518  0.3958  0.14
Blumental 1952   35  0.6021  0.0046  0.0652  0.0640  0.1370  0.09
Boshniakovich 1969   18  0.6559  0.007  0.128  0.584  0.627  0.60
Brailowsky 1960   76  0.458  0.0079  0.0565  0.0568  0.0576  0.05
Bunin 1987   63  0.5160  0.0067  0.0653  0.0610  0.4947  0.17
Bunin 1987b   67  0.5033  0.0066  0.0384  0.039  0.4865  0.12
Chiu 1999   43  0.5861  0.0047  0.0747  0.072  0.5242  0.19
Cohen 1997   83  0.3962  0.0081  0.0481  0.0438  0.1273  0.07
Cortot 1951   79  0.4263  0.0080  0.0478  0.0458  0.0583  0.04
Csalog 1996   54  0.542  0.0053  0.0562  0.0514  0.4351  0.15
Czerny 1949   31  0.613  0.0032  0.0823  0.4127  0.4619  0.43
Czerny 1990   11  0.6734  0.0018  0.1015  0.4719  0.4716  0.47
Duchoud 2007   72  0.4835  0.0073  0.0559  0.0517  0.3263  0.13
Ezaki 2006   2  0.7136  0.006  0.136  0.615  0.664  0.63
Falvay 1989   45  0.5816  0.0028  0.0643  0.1128  0.3741  0.20
Farrell 1958   49  0.5664  0.0050  0.0751  0.0735  0.3055  0.14
Ferenczy 1958   61  0.5237  0.0069  0.0567  0.0536  0.2667  0.11
Fliere 1977   7  0.6817  0.0013  0.1311  0.5228  0.3125  0.40
Fou 1978   25  0.6338  0.0042  0.0639  0.1332  0.2443  0.18
Francois 1956   66  0.5065  0.0063  0.0480  0.0428  0.4064  0.13
Friedman 1923   38  0.604  0.0039  0.0537  0.1511  0.5234  0.28
Friedman 1923b   33  0.6112  0.0033  0.0832  0.2912  0.5527  0.40
Friedman 1930   28  0.6239  0.0024  0.0922  0.414  0.6512  0.52
Garcia 2007   71  0.4840  0.0075  0.0483  0.0457  0.0581  0.04
Garcia 2007b   62  0.5141  0.0064  0.0474  0.0458  0.0485  0.04
Gierzod 1998   3  0.7122  0.003  0.165  0.6320  0.529  0.57
Gornostaeva 1994   53  0.5410  0.0036  0.0635  0.1920  0.3736  0.27
Groot 1988   56  0.5323  0.0041  0.0540  0.1315  0.3840  0.22
Harasiewicz 1955   5  0.6966  0.002  0.252  0.679  0.662  0.66
Hatto 1993   14  0.6642  0.0021  0.1720  0.4521  0.3724  0.41
Hatto 1997   12  0.6718  0.0019  0.1018  0.4520  0.3823  0.41
Horowitz 1949   69  0.4867  0.0072  0.0560  0.0537  0.2766  0.12
Indjic 1988   13  0.6668  0.0020  0.1019  0.4521  0.3822  0.41
Kapell 1951   24  0.6369  0.0017  0.0921  0.4316  0.4021  0.41
Kissin 1993   4  0.7024  0.0011  0.147  0.5912  0.616  0.60
Kushner 1989   8  0.6825  0.0014  0.099  0.5615  0.588  0.57
Luisada 1991   20  0.6470  0.0035  0.0933  0.2620  0.3533  0.30
Lushtak 2004   23  0.6343  0.0015  0.1024  0.418  0.5715  0.48
Malcuzynski 1961   70  0.4819  0.0037  0.0541  0.1332  0.1750  0.15
Magaloff 1978   57  0.5271  0.0065  0.0482  0.0450  0.0678  0.05
Magin 1975   15  0.6644  0.0016  0.1010  0.5616  0.4911  0.52
Michalowski 1933   78  0.4472  0.0071  0.0568  0.0524  0.3462  0.13
Milkina 1970   21  0.6313  0.0010  0.1317  0.4626  0.4517  0.45
Mohovich 1999   40  0.5973  0.0048  0.0750  0.0728  0.4146  0.17
Moravec 1969   81  0.4126  0.0083  0.0473  0.0474  0.0386  0.03
Morozova 2008   34  0.619  0.0044  0.0544  0.1027  0.3445  0.18
Neighaus 1950   52  0.5474  0.0051  0.0657  0.0625  0.3160  0.14
Niedzielski 1931   58  0.5275  0.0060  0.0749  0.0730  0.2754  0.14
Ohlsson 1999   22  0.6376  0.008  0.1513  0.5112  0.5213  0.51
Osinska 1989   6  0.686  0.004  0.114  0.6715  0.575  0.62
Pachmann 1927   75  0.4527  0.0078  0.0566  0.056  0.5048  0.16
Paderewski 1930   82  0.4128  0.0077  0.0477  0.0436  0.1771  0.08
Perlemuter 1992   48  0.5677  0.0055  0.0564  0.0514  0.4649  0.15
Pierdomenico 2008   68  0.5078  0.0062  0.0472  0.0412  0.4853  0.14
Poblocka 1999   27  0.6379  0.0030  0.0626  0.3528  0.4129  0.38
Rabcewiczowa 1932   60  0.5229  0.0059  0.0746  0.0755  0.0575  0.06
Rachmaninoff 1923   44  0.5830  0.0038  0.0534  0.2120  0.3635  0.27
Rangell 2001   74  0.4645  0.0070  0.0571  0.0521  0.3959  0.14
Richter 1976   51  0.545  0.0061  0.0845  0.0829  0.4244  0.18
Rosen 1989   26  0.6346  0.0029  0.0628  0.3215  0.4032  0.36
Rosenthal 1930   80  0.4214  0.0082  0.0476  0.0460  0.0387  0.03
Rosenthal 1931   87  0.3620  0.0086  0.0385  0.0349  0.0680  0.04
Rosenthal 1931b   84  0.3731  0.0085  0.0386  0.0351  0.0584  0.04
Rosenthal 1931c   85  0.377  0.0084  0.0287  0.0257  0.0488  0.03
Rosenthal 1931d   86  0.3680  0.0087  0.0479  0.0455  0.0582  0.04
Rossi 2007   77  0.4581  0.0076  0.0475  0.0447  0.0777  0.05
Rubinstein 1939   29  0.6247  0.0043  0.0642  0.1211  0.4239  0.22
Rubinstein 1952   32  0.6182  0.0026  0.0731  0.3020  0.4531  0.37
Rubinstein 1966   9  0.6883  0.009  0.1214  0.508  0.6210  0.56
Schilhawsky 1960   30  0.6211  0.0027  0.0627  0.3322  0.4528  0.39
Shebanova 2002   17  0.6584  0.0012  0.1212  0.5220  0.4414  0.48
Smith 1975   41  0.5932  0.0052  0.0654  0.0625  0.3061  0.13
Sokolov 2002   36  0.6085  0.0034  0.0830  0.307  0.5326  0.40
Sztompka 1959   39  0.6086  0.0045  0.0658  0.0644  0.1569  0.09
Tomsic 1995   65  0.5048  0.0054  0.0561  0.0526  0.4056  0.14
Uninsky 1932   55  0.5349  0.0056  0.0655  0.0630  0.3752  0.15
Uninsky 1971   37  0.6050  0.0031  0.0725  0.3622  0.4820  0.42
Wasowski 1980   46  0.5787  0.0057  0.0656  0.0647  0.0774  0.06
Zak 1937   1  0.981  0.991  0.981  0.991  0.991  0.99
Zak 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 1   90  -0.0888  0.0090  0.0190  0.0155  0.0390  0.02
Random 2   88  -0.0289  0.0089  0.0189  0.0154  0.0489  0.02
Random 3   89  -0.0590  0.0088  0.0288  0.0217  0.3072  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).