Sokolov 2002

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   41  0.3032  0.0037  0.0739  0.2155  0.0543  0.10
Anderszewski 2003   84  0.1152  0.0090  0.0190  0.0177  0.0388  0.02
Ashkenazy 1981   36  0.3227  0.0051  0.0453  0.0473  0.0575  0.04
Bacha 2000   49  0.2847  0.0056  0.0456  0.0455  0.0567  0.04
Badura 1965   81  0.1279  0.0088  0.0188  0.0185  0.0389  0.02
Barbosa 1983   73  0.2054  0.0068  0.0369  0.0361  0.0571  0.04
Biret 1990   26  0.3411  0.0118  0.1023  0.4126  0.5014  0.45
Blet 2003   32  0.3326  0.0032  0.0829  0.3553  0.0733  0.16
Block 1995   14  0.4062  0.0015  0.0911  0.5537  0.2517  0.37
Blumental 1952   66  0.2159  0.0070  0.0377  0.0369  0.0484  0.03
Boshniakovich 1969   60  0.2468  0.0052  0.0361  0.0350  0.0763  0.05
Brailowsky 1960   75  0.1833  0.0079  0.0281  0.0270  0.0477  0.03
Bunin 1987   58  0.2585  0.0054  0.0547  0.0553  0.0664  0.05
Bunin 1987b   57  0.2569  0.0053  0.0360  0.0352  0.0758  0.05
Chiu 1999   23  0.3521  0.0049  0.0451  0.0465  0.0568  0.04
Cohen 1997   65  0.2116  0.0131  0.0738  0.2354  0.0641  0.12
Cortot 1951   29  0.3449  0.0020  0.1218  0.4517  0.5413  0.49
Csalog 1996   43  0.2934  0.0059  0.0457  0.0458  0.0572  0.04
Czerny 1949   18  0.3830  0.0011  0.1413  0.5222  0.677  0.59
Czerny 1990   79  0.1486  0.0071  0.0372  0.0358  0.0676  0.04
Duchoud 2007   52  0.2745  0.0044  0.0744  0.1553  0.0646  0.09
Ezaki 2006   62  0.2314  0.0126  0.0835  0.2949  0.0834  0.15
Falvay 1989   25  0.3570  0.0030  0.0727  0.3938  0.1924  0.27
Farrell 1958   87  0.0980  0.0084  0.0285  0.0279  0.0387  0.02
Ferenczy 1958   78  0.1436  0.0083  0.0380  0.0344  0.1651  0.07
Fliere 1977   19  0.3763  0.0039  0.0834  0.2949  0.0932  0.16
Fou 1978   68  0.2144  0.0078  0.0370  0.0379  0.0379  0.03
Francois 1956   12  0.4022  0.0012  0.1610  0.5613  0.695  0.62
Friedman 1923   63  0.2341  0.0065  0.0367  0.0357  0.0766  0.05
Friedman 1923b   59  0.2420  0.0063  0.0362  0.0356  0.0865  0.05
Friedman 1930   42  0.2971  0.0060  0.0373  0.0372  0.0483  0.03
Garcia 2007   82  0.1231  0.0057  0.0454  0.0456  0.0573  0.04
Garcia 2007b   76  0.1661  0.0080  0.0282  0.0266  0.0486  0.03
Gierzod 1998   71  0.2023  0.0055  0.0366  0.0341  0.1852  0.07
Gornostaeva 1994   2  0.541  0.301  0.292  0.776  0.781  0.77
Groot 1988   9  0.449  0.027  0.196  0.6726  0.3711  0.50
Harasiewicz 1955   5  0.4810  0.016  0.245  0.7013  0.526  0.60
Hatto 1993   22  0.3687  0.0024  0.0828  0.3847  0.1229  0.21
Hatto 1997   13  0.4013  0.0114  0.1519  0.4432  0.2420  0.32
Horowitz 1949   67  0.2188  0.0076  0.0363  0.0357  0.0669  0.04
Indjic 1988   16  0.3948  0.0017  0.1020  0.4455  0.0731  0.18
Kapell 1951   47  0.2864  0.0028  0.0641  0.2044  0.1036  0.14
Kissin 1993   61  0.2460  0.0066  0.0458  0.0466  0.0660  0.05
Kushner 1989   38  0.3135  0.0041  0.0843  0.1640  0.2030  0.18
Luisada 1991   35  0.3365  0.0042  0.0740  0.2057  0.0642  0.11
Lushtak 2004   85  0.1173  0.0087  0.0189  0.0181  0.0390  0.02
Malcuzynski 1961   34  0.3318  0.0140  0.0837  0.2334  0.2027  0.21
Magaloff 1978   20  0.3689  0.0035  0.0826  0.3943  0.1526  0.24
Magin 1975   7  0.458  0.028  0.187  0.6519  0.634  0.64
Michalowski 1933   15  0.4038  0.0022  0.1212  0.5535  0.3415  0.43
Milkina 1970   30  0.3319  0.0013  0.1514  0.5117  0.539  0.52
Mohovich 1999   24  0.3567  0.0025  0.0822  0.4339  0.2222  0.31
Moravec 1969   44  0.2955  0.0036  0.0833  0.3049  0.0540  0.12
Morozova 2008   48  0.2857  0.0034  0.0830  0.3352  0.0637  0.14
Neighaus 1950   4  0.493  0.105  0.248  0.658  0.538  0.59
Niedzielski 1931   54  0.2666  0.0058  0.0455  0.0454  0.0656  0.05
Ohlsson 1999   10  0.4358  0.0016  0.0821  0.4338  0.1425  0.25
Osinska 1989   3  0.505  0.053  0.184  0.739  0.742  0.73
Pachmann 1927   39  0.3172  0.0050  0.0449  0.0444  0.1548  0.08
Paderewski 1930   33  0.3315  0.0133  0.0924  0.4138  0.2919  0.34
Perlemuter 1992   17  0.3939  0.0023  0.1225  0.4039  0.3318  0.36
Pierdomenico 2008   37  0.3181  0.0046  0.0452  0.0436  0.2145  0.09
Poblocka 1999   77  0.1682  0.0081  0.0374  0.0378  0.0478  0.03
Rabcewiczowa 1932   21  0.3640  0.0029  0.0631  0.3328  0.4916  0.40
Rachmaninoff 1923   56  0.2528  0.0047  0.0548  0.0546  0.0853  0.06
Rangell 2001   80  0.1429  0.0077  0.0378  0.0374  0.0485  0.03
Richter 1976   46  0.2850  0.0064  0.0371  0.0366  0.0570  0.04
Rosen 1989   28  0.347  0.0321  0.1216  0.4645  0.1028  0.21
Rosenthal 1930   70  0.2090  0.0074  0.0376  0.0352  0.0674  0.04
Rosenthal 1931   90  0.0675  0.0086  0.0284  0.0267  0.0480  0.03
Rosenthal 1931b   89  0.0676  0.0089  0.0187  0.0173  0.0391  0.02
Rosenthal 1931c   64  0.2351  0.0045  0.0445  0.0851  0.0555  0.06
Rosenthal 1931d   86  0.1074  0.0069  0.0375  0.0344  0.1454  0.06
Rossi 2007   72  0.2043  0.0073  0.0364  0.0331  0.2447  0.08
Rubinstein 1939   55  0.2656  0.0027  0.0736  0.2652  0.0835  0.14
Rubinstein 1952   8  0.454  0.074  0.213  0.7510  0.613  0.68
Rubinstein 1966   69  0.2077  0.0072  0.0365  0.0376  0.0481  0.03
Schilhawsky 1960   74  0.1953  0.0075  0.0283  0.0261  0.0582  0.03
Shebanova 2002   53  0.2724  0.0067  0.0459  0.0467  0.0661  0.05
Smith 1975   11  0.426  0.049  0.1515  0.5016  0.5310  0.51
Sokolov 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sztompka 1959   51  0.2891  0.0048  0.0646  0.0665  0.0559  0.05
Tomsic 1995   31  0.3317  0.0119  0.1117  0.4534  0.1923  0.29
Uninsky 1932   27  0.3442  0.0038  0.0832  0.3257  0.0638  0.14
Uninsky 1971   6  0.4612  0.0110  0.169  0.5716  0.4212  0.49
Wasowski 1980   40  0.3137  0.0043  0.0642  0.1864  0.0544  0.09
Zak 1937   50  0.2883  0.0062  0.0450  0.0452  0.0757  0.05
Zak 1951   45  0.2984  0.0061  0.0368  0.0341  0.1550  0.07
Average   1  0.542  0.232  0.241  0.7841  0.1221  0.31
Random 1   88  0.0978  0.0082  0.0379  0.033  0.5539  0.13
Random 2   91  0.0246  0.0091  0.0191  0.0129  0.2762  0.05
Random 3   83  0.1125  0.0085  0.0186  0.015  0.6349  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).