Boshniakovich 1969

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   66  0.3366  0.0071  0.0652  0.0655  0.0579  0.05
Anderszewski 2003   40  0.4021  0.008  0.1214  0.588  0.6715  0.62
Ashkenazy 1981   39  0.4074  0.0043  0.0640  0.2028  0.3741  0.27
Bacha 2000   71  0.3085  0.0079  0.0476  0.0451  0.0675  0.05
Badura 1965   65  0.3375  0.0061  0.0483  0.0419  0.4154  0.13
Barbosa 1983   15  0.4713  0.0011  0.1110  0.684  0.706  0.69
Biret 1990   63  0.3348  0.0065  0.0565  0.0540  0.2162  0.10
Blet 2003   42  0.4054  0.0051  0.0747  0.0719  0.4846  0.18
Block 1995   36  0.4053  0.0036  0.0628  0.3221  0.4929  0.40
Blumental 1952   59  0.3557  0.0069  0.0561  0.0556  0.0680  0.05
Boshniakovich 1969   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Brailowsky 1960   62  0.3470  0.0060  0.0475  0.0430  0.3557  0.12
Bunin 1987   56  0.3630  0.0054  0.0560  0.0526  0.3656  0.13
Bunin 1987b   57  0.3558  0.0058  0.0562  0.0530  0.3353  0.13
Chiu 1999   67  0.3159  0.0070  0.0470  0.0463  0.0583  0.04
Cohen 1997   69  0.3179  0.0067  0.0655  0.0636  0.3055  0.13
Cortot 1951   81  0.2372  0.0076  0.0388  0.0335  0.2264  0.08
Csalog 1996   54  0.3631  0.0063  0.0473  0.0445  0.1166  0.07
Czerny 1949   78  0.2645  0.0077  0.0480  0.0445  0.1467  0.07
Czerny 1990   51  0.3671  0.0057  0.0568  0.0548  0.0872  0.06
Duchoud 2007   75  0.2965  0.0074  0.0474  0.0442  0.1071  0.06
Ezaki 2006   64  0.3363  0.0066  0.0566  0.0558  0.0674  0.05
Falvay 1989   70  0.3134  0.0055  0.0563  0.0549  0.0677  0.05
Farrell 1958   84  0.2188  0.0082  0.0478  0.0461  0.0585  0.04
Ferenczy 1958   86  0.2073  0.0085  0.0482  0.0447  0.0870  0.06
Fliere 1977   3  0.547  0.022  0.253  0.7410  0.655  0.69
Fou 1978   30  0.4222  0.0024  0.1121  0.4719  0.5224  0.49
Francois 1956   77  0.2849  0.0078  0.0477  0.0441  0.1565  0.08
Friedman 1923   47  0.3825  0.0048  0.0649  0.0617  0.5447  0.18
Friedman 1923b   43  0.3952  0.0041  0.0743  0.1616  0.5638  0.30
Friedman 1930   33  0.4124  0.0039  0.0737  0.2515  0.5732  0.38
Garcia 2007   17  0.468  0.0110  0.1016  0.553  0.7612  0.65
Garcia 2007b   46  0.3836  0.0042  0.0744  0.1316  0.5642  0.27
Gierzod 1998   14  0.4726  0.0016  0.1411  0.636  0.6613  0.64
Gornostaeva 1994   35  0.4169  0.0029  0.0730  0.3019  0.5330  0.40
Groot 1988   41  0.4041  0.0050  0.0651  0.0649  0.0673  0.06
Harasiewicz 1955   8  0.5023  0.009  0.125  0.7110  0.5814  0.64
Hatto 1993   48  0.3864  0.0047  0.0846  0.0840  0.1759  0.12
Hatto 1997   73  0.3035  0.0059  0.0558  0.0552  0.0578  0.05
Horowitz 1949   55  0.3647  0.0053  0.0469  0.0421  0.5151  0.14
Indjic 1988   53  0.3676  0.0049  0.0654  0.0641  0.1861  0.10
Kapell 1951   32  0.4140  0.0037  0.0629  0.3126  0.3136  0.31
Kissin 1993   28  0.4233  0.0033  0.0634  0.2824  0.5431  0.39
Kushner 1989   2  0.542  0.043  0.232  0.773  0.731  0.75
Luisada 1991   21  0.4429  0.0034  0.0726  0.3617  0.5028  0.42
Lushtak 2004   25  0.4411  0.0121  0.1123  0.4510  0.6119  0.52
Malcuzynski 1961   4  0.534  0.025  0.177  0.695  0.678  0.68
Magaloff 1978   16  0.4717  0.0017  0.1120  0.4811  0.5520  0.51
Magin 1975   20  0.4518  0.0038  0.0735  0.2723  0.4334  0.34
Michalowski 1933   61  0.3419  0.0068  0.0567  0.0522  0.4052  0.14
Milkina 1970   72  0.3046  0.0056  0.0557  0.0545  0.1263  0.08
Mohovich 1999   10  0.493  0.024  0.189  0.685  0.717  0.69
Moravec 1969   74  0.3067  0.0073  0.0748  0.0768  0.0476  0.05
Morozova 2008   27  0.4250  0.0023  0.1324  0.4215  0.5126  0.46
Neighaus 1950   12  0.4812  0.0022  0.1319  0.543  0.6417  0.59
Niedzielski 1931   58  0.3516  0.0062  0.0471  0.0434  0.2560  0.10
Ohlsson 1999   29  0.4244  0.0027  0.1033  0.2822  0.3337  0.30
Osinska 1989   13  0.4732  0.0019  0.1115  0.5718  0.5618  0.56
Pachmann 1927   11  0.486  0.0215  0.1213  0.593  0.799  0.68
Paderewski 1930   31  0.4138  0.0035  0.0732  0.282  0.7625  0.46
Perlemuter 1992   24  0.4462  0.0028  0.0831  0.293  0.6527  0.43
Pierdomenico 2008   49  0.3856  0.0052  0.0653  0.0623  0.3949  0.15
Poblocka 1999   22  0.4468  0.0026  0.1122  0.4616  0.5323  0.49
Rabcewiczowa 1932   68  0.3178  0.0072  0.0559  0.0549  0.0769  0.06
Rachmaninoff 1923   82  0.2277  0.0083  0.0472  0.0478  0.0388  0.03
Rangell 2001   23  0.4410  0.0114  0.1117  0.553  0.6616  0.60
Richter 1976   9  0.5014  0.0012  0.1412  0.6310  0.7011  0.66
Rosen 1989   7  0.5020  0.0013  0.158  0.686  0.6710  0.67
Rosenthal 1930   85  0.2060  0.0088  0.0479  0.0475  0.0486  0.04
Rosenthal 1931   88  0.1786  0.0086  0.0387  0.0363  0.0489  0.03
Rosenthal 1931b   83  0.2190  0.0084  0.0485  0.0447  0.0781  0.05
Rosenthal 1931c   79  0.2680  0.0081  0.0564  0.0558  0.0582  0.05
Rosenthal 1931d   87  0.2082  0.0087  0.0486  0.0463  0.0487  0.04
Rossi 2007   76  0.2889  0.0080  0.0484  0.0426  0.3458  0.12
Rubinstein 1939   80  0.2484  0.0075  0.0481  0.0465  0.0484  0.04
Rubinstein 1952   34  0.4151  0.0040  0.0739  0.2137  0.2844  0.24
Rubinstein 1966   26  0.4339  0.0020  0.1318  0.5521  0.4521  0.50
Schilhawsky 1960   19  0.455  0.0218  0.1225  0.372  0.6822  0.50
Shebanova 2002   18  0.4655  0.0025  0.0927  0.3531  0.3533  0.35
Smith 1975   60  0.3442  0.0064  0.0650  0.0630  0.3648  0.15
Sokolov 2002   45  0.3937  0.0045  0.0645  0.1129  0.4045  0.21
Sztompka 1959   37  0.4087  0.0032  0.0641  0.1733  0.3343  0.24
Tomsic 1995   44  0.3928  0.0044  0.0742  0.1717  0.4339  0.27
Uninsky 1932   52  0.3627  0.0046  0.0656  0.0623  0.4050  0.15
Uninsky 1971   50  0.3743  0.0030  0.0738  0.2234  0.3240  0.27
Wasowski 1980   38  0.4061  0.0031  0.0736  0.2530  0.3835  0.31
Zak 1937   5  0.5115  0.006  0.174  0.733  0.763  0.74
Zak 1951   6  0.519  0.017  0.276  0.713  0.774  0.74
Average   1  0.651  0.741  0.731  0.916  0.622  0.75
Random 1   91  -0.0481  0.0090  0.0190  0.0172  0.0291  0.01
Random 2   90  -0.0383  0.0091  0.0191  0.0176  0.0390  0.02
Random 3   89  -0.0391  0.0089  0.0289  0.0225  0.2768  0.07

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).