Sokolov 2002

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   24  0.7063  0.0030  0.0829  0.2928  0.2333  0.26
Anderszewski 2003   18  0.7227  0.0116  0.1011  0.4411  0.508  0.47
Ashkenazy 1981   22  0.7121  0.0115  0.1019  0.3923  0.3227  0.35
Bacha 2000   77  0.4270  0.0083  0.0283  0.0278  0.0386  0.02
Badura 1965   48  0.589  0.0322  0.0828  0.3314  0.4123  0.37
Barbosa 1983   64  0.5286  0.0055  0.0648  0.0637  0.2346  0.12
Biret 1990   16  0.7235  0.0035  0.0634  0.2528  0.2239  0.23
Blet 2003   20  0.7189  0.0031  0.1025  0.3522  0.3228  0.33
Block 1995   69  0.5064  0.0056  0.0551  0.0544  0.1058  0.07
Blumental 1952   79  0.3887  0.0059  0.0462  0.0448  0.0569  0.04
Boshniakovich 1969   57  0.5454  0.0075  0.0381  0.0354  0.0481  0.03
Brailowsky 1960   62  0.5261  0.0077  0.0379  0.0357  0.0474  0.03
Bunin 1987   6  0.775  0.066  0.1612  0.445  0.519  0.47
Bunin 1987b   7  0.777  0.037  0.1813  0.445  0.517  0.47
Chiu 1999   78  0.3972  0.0072  0.0367  0.0361  0.0475  0.03
Cohen 1997   83  0.2632  0.0084  0.0380  0.0371  0.0383  0.03
Cortot 1951   17  0.7253  0.0032  0.0724  0.367  0.5016  0.42
Csalog 1996   75  0.4233  0.0064  0.0366  0.0349  0.0668  0.04
Czerny 1949   23  0.712  0.142  0.148  0.467  0.536  0.49
Czerny 1990   2  0.806  0.044  0.143  0.515  0.513  0.51
Duchoud 2007   1  0.823  0.103  0.124  0.515  0.504  0.50
Ezaki 2006   3  0.7926  0.019  0.126  0.4617  0.3518  0.40
Falvay 1989   44  0.6149  0.0057  0.0647  0.0652  0.0559  0.05
Farrell 1958   47  0.5967  0.0073  0.0375  0.0331  0.1557  0.07
Ferenczy 1958   40  0.6556  0.0045  0.0549  0.0522  0.3742  0.14
Fliere 1977   11  0.7537  0.0033  0.0636  0.2445  0.0645  0.12
Fou 1978   71  0.4760  0.0078  0.0374  0.0363  0.0563  0.04
Francois 1956   35  0.6662  0.0029  0.0733  0.2622  0.2736  0.26
Friedman 1923   85  0.2479  0.0066  0.0457  0.0427  0.2950  0.11
Friedman 1923b   84  0.2569  0.0065  0.0463  0.0427  0.2849  0.11
Friedman 1930   76  0.4243  0.0053  0.0550  0.0528  0.3047  0.12
Garcia 2007   72  0.4781  0.0051  0.0454  0.0412  0.4044  0.13
Garcia 2007b   87  0.2188  0.0081  0.0282  0.0259  0.0485  0.03
Gierzod 1998   32  0.6716  0.0242  0.0642  0.1542  0.1243  0.13
Gornostaeva 1994   25  0.6928  0.0143  0.0643  0.1231  0.1940  0.15
Groot 1988   38  0.6673  0.0049  0.0458  0.0446  0.0571  0.04
Harasiewicz 1955   49  0.588  0.0310  0.095  0.498  0.4412  0.46
Hatto 1993   68  0.5077  0.0038  0.0938  0.2119  0.3234  0.26
Hatto 1997   51  0.5717  0.0224  0.0830  0.2820  0.3630  0.32
Horowitz 1949   63  0.5284  0.0063  0.0464  0.0454  0.0566  0.04
Indjic 1988   60  0.5340  0.0026  0.0635  0.2511  0.4129  0.32
Kapell 1951   5  0.7719  0.0117  0.1110  0.4613  0.4711  0.46
Kissin 1993   50  0.5745  0.0061  0.0372  0.0349  0.0667  0.04
Kushner 1989   8  0.7629  0.0127  0.0626  0.3511  0.3922  0.37
Luisada 1991   53  0.5613  0.0269  0.0369  0.0358  0.0473  0.03
Lushtak 2004   27  0.6920  0.018  0.1517  0.4115  0.4117  0.41
Malcuzynski 1961   4  0.7718  0.0221  0.0914  0.4424  0.2826  0.35
Magaloff 1978   28  0.6822  0.0144  0.0544  0.1047  0.0556  0.07
Magin 1975   39  0.6534  0.0041  0.0640  0.1811  0.3237  0.24
Michalowski 1933   59  0.5315  0.0220  0.1020  0.381  0.5413  0.45
Milkina 1970   46  0.5924  0.0168  0.0465  0.0452  0.0565  0.04
Mohovich 1999   37  0.6659  0.0050  0.0460  0.0456  0.0470  0.04
Moravec 1969   58  0.5465  0.0048  0.0459  0.0439  0.1254  0.07
Morozova 2008   29  0.6823  0.0123  0.0823  0.366  0.3724  0.36
Neighaus 1950   33  0.6741  0.0039  0.0939  0.2050  0.0552  0.10
Niedzielski 1931   66  0.5175  0.0062  0.0455  0.0422  0.2551  0.10
Ohlsson 1999   10  0.7511  0.0214  0.0916  0.4215  0.3920  0.40
Osinska 1989   43  0.6225  0.0147  0.0453  0.0441  0.1355  0.07
Pachmann 1927   82  0.3482  0.0082  0.0373  0.0362  0.0477  0.03
Paderewski 1930   55  0.5548  0.0076  0.0378  0.0365  0.0376  0.03
Perlemuter 1992   36  0.6614  0.0219  0.1118  0.405  0.4615  0.43
Pierdomenico 2008   45  0.6044  0.0058  0.0746  0.0750  0.0460  0.05
Poblocka 1999   19  0.7283  0.0037  0.0731  0.2728  0.2532  0.26
Rabcewiczowa 1932   34  0.6755  0.0034  0.0737  0.2213  0.4131  0.30
Rachmaninoff 1923   30  0.6831  0.0018  0.1215  0.434  0.4910  0.46
Rangell 2001   65  0.5168  0.0080  0.0284  0.0276  0.0388  0.02
Richter 1976   21  0.7112  0.0213  0.109  0.461  0.535  0.49
Rosen 1989   54  0.5666  0.0071  0.0370  0.0363  0.0380  0.03
Rosenthal 1930   13  0.7450  0.0025  0.0821  0.376  0.5414  0.45
Rosenthal 1931   67  0.5185  0.0067  0.0371  0.0345  0.0762  0.05
Rosenthal 1931b   73  0.4671  0.0074  0.0376  0.0346  0.0572  0.04
Rosenthal 1931c   31  0.6857  0.0040  0.0641  0.1714  0.4035  0.26
Rosenthal 1931d   74  0.4678  0.0079  0.0285  0.0263  0.0484  0.03
Rossi 2007   81  0.3776  0.0052  0.0456  0.049  0.3048  0.11
Rubinstein 1939   86  0.2342  0.0089  0.0189  0.0172  0.0387  0.02
Rubinstein 1952   80  0.3738  0.0086  0.0286  0.0282  0.0389  0.02
Rubinstein 1966   70  0.4746  0.0085  0.0377  0.0376  0.0378  0.03
Schilhawsky 1960   14  0.744  0.075  0.161  0.535  0.502  0.51
Shebanova 2002   61  0.5358  0.0070  0.0368  0.0366  0.0479  0.03
Smith 1975   12  0.7410  0.0312  0.117  0.4617  0.2725  0.35
Sokolov 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sztompka 1959   15  0.7351  0.0028  0.0722  0.3713  0.4419  0.40
Tomsic 1995   26  0.6939  0.0036  0.0732  0.2731  0.2138  0.24
Uninsky 1932   41  0.6452  0.0011  0.0927  0.3416  0.4321  0.38
Uninsky 1971   9  0.761  0.141  0.142  0.535  0.531  0.53
Wasowski 1980   42  0.6330  0.0046  0.0745  0.0717  0.2841  0.14
Zak 1937   56  0.5536  0.0060  0.0461  0.0466  0.0464  0.04
Zak 1951   52  0.5647  0.0054  0.0552  0.0551  0.0561  0.05
Random 1   89  0.0080  0.0087  0.0288  0.0217  0.3553  0.08
Random 2   90  -0.1174  0.0090  0.0190  0.0173  0.0290  0.01
Random 3   88  0.0690  0.0088  0.0287  0.0247  0.0682  0.03

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).