Groot 1988

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   11  0.6717  0.0117  0.0718  0.418  0.5016  0.45
Anderszewski 2003   76  0.3540  0.0074  0.0452  0.0469  0.0382  0.03
Ashkenazy 1981   50  0.5331  0.0053  0.0457  0.0442  0.1267  0.07
Bacha 2000   64  0.4882  0.0076  0.0378  0.0340  0.1957  0.08
Badura 1965   71  0.4346  0.0069  0.0371  0.0340  0.1565  0.07
Barbosa 1983   42  0.5622  0.0028  0.1117  0.424  0.6110  0.51
Biret 1990   67  0.4783  0.0078  0.0379  0.0353  0.0488  0.03
Blet 2003   32  0.5823  0.0044  0.0642  0.1529  0.3042  0.21
Block 1995   26  0.6062  0.0033  0.0632  0.2417  0.4132  0.31
Blumental 1952   85  0.2678  0.0087  0.0376  0.0365  0.0485  0.03
Boshniakovich 1969   39  0.5663  0.0042  0.0540  0.1722  0.4438  0.27
Brailowsky 1960   40  0.5667  0.0055  0.0453  0.0418  0.3949  0.12
Bunin 1987   25  0.6018  0.0125  0.0826  0.3119  0.4024  0.35
Bunin 1987b   24  0.6055  0.0026  0.0827  0.3119  0.4023  0.35
Chiu 1999   68  0.4773  0.0031  0.0635  0.2323  0.4231  0.31
Cohen 1997   77  0.3474  0.0085  0.0284  0.0251  0.0686  0.03
Cortot 1951   73  0.3990  0.0086  0.0282  0.0253  0.0589  0.03
Csalog 1996   48  0.5352  0.0052  0.0455  0.0429  0.3152  0.11
Czerny 1949   56  0.5241  0.0064  0.0366  0.0336  0.2361  0.08
Czerny 1990   12  0.6626  0.0018  0.099  0.5012  0.5011  0.50
Duchoud 2007   54  0.5251  0.0072  0.0463  0.0464  0.0478  0.04
Ezaki 2006   16  0.6453  0.0023  0.0719  0.3824  0.3126  0.34
Falvay 1989   4  0.7113  0.013  0.142  0.635  0.642  0.63
Farrell 1958   58  0.5079  0.0075  0.0460  0.0433  0.2454  0.10
Ferenczy 1958   70  0.4684  0.0084  0.0286  0.0250  0.0684  0.03
Fliere 1977   5  0.713  0.077  0.126  0.579  0.596  0.58
Fou 1978   20  0.6344  0.0016  0.0715  0.4322  0.4220  0.42
Francois 1956   8  0.7020  0.0013  0.0911  0.486  0.569  0.52
Friedman 1923   88  0.1550  0.0082  0.0288  0.0246  0.0881  0.04
Friedman 1923b   87  0.1643  0.0081  0.0285  0.0263  0.0587  0.03
Friedman 1930   81  0.3085  0.0065  0.0365  0.0338  0.2060  0.08
Garcia 2007   82  0.2945  0.0079  0.0281  0.0237  0.1769  0.06
Garcia 2007b   84  0.2637  0.0083  0.0287  0.0217  0.4056  0.09
Gierzod 1998   59  0.4968  0.0056  0.0461  0.0441  0.1068  0.06
Gornostaeva 1994   9  0.6816  0.015  0.1312  0.4813  0.5012  0.49
Groot 1988   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Harasiewicz 1955   46  0.5334  0.0014  0.1120  0.3821  0.3225  0.35
Hatto 1993   80  0.3158  0.0060  0.0367  0.0355  0.0580  0.04
Hatto 1997   78  0.3342  0.0063  0.0370  0.0360  0.0483  0.03
Horowitz 1949   17  0.6415  0.0111  0.0813  0.455  0.5213  0.48
Indjic 1988   79  0.3360  0.0062  0.0377  0.0351  0.0577  0.04
Kapell 1951   38  0.5786  0.0070  0.0374  0.0356  0.0575  0.04
Kissin 1993   14  0.6524  0.0015  0.0616  0.4315  0.4617  0.44
Kushner 1989   19  0.6364  0.0035  0.0736  0.2122  0.3437  0.27
Luisada 1991   49  0.5321  0.0054  0.0462  0.0442  0.1462  0.07
Lushtak 2004   63  0.4861  0.0061  0.0372  0.0349  0.0579  0.04
Malcuzynski 1961   3  0.7357  0.0012  0.1010  0.4815  0.4215  0.45
Magaloff 1978   6  0.7010  0.014  0.128  0.556  0.498  0.52
Magin 1975   62  0.4928  0.0048  0.0550  0.0534  0.1953  0.10
Michalowski 1933   75  0.3547  0.0066  0.0459  0.0448  0.0672  0.05
Milkina 1970   18  0.6429  0.0030  0.0730  0.2715  0.4129  0.33
Mohovich 1999   7  0.7011  0.019  0.134  0.604  0.653  0.62
Moravec 1969   35  0.5756  0.0068  0.0369  0.0329  0.2058  0.08
Morozova 2008   45  0.5414  0.0110  0.1014  0.4410  0.4219  0.43
Neighaus 1950   10  0.6749  0.008  0.125  0.599  0.577  0.58
Niedzielski 1931   66  0.4765  0.0077  0.0280  0.0242  0.0974  0.04
Ohlsson 1999   52  0.5248  0.0073  0.0458  0.0456  0.0476  0.04
Osinska 1989   41  0.5669  0.0049  0.0456  0.0448  0.0670  0.05
Pachmann 1927   30  0.5927  0.0022  0.0923  0.367  0.6114  0.47
Paderewski 1930   36  0.5732  0.0047  0.0548  0.0532  0.1855  0.09
Perlemuter 1992   13  0.664  0.046  0.123  0.602  0.711  0.65
Pierdomenico 2008   61  0.4987  0.0050  0.0551  0.0519  0.3248  0.13
Poblocka 1999   21  0.628  0.0236  0.0633  0.2436  0.1941  0.21
Rabcewiczowa 1932   65  0.4780  0.0071  0.0454  0.0441  0.1859  0.08
Rachmaninoff 1923   47  0.5312  0.0127  0.0929  0.2919  0.3927  0.34
Rangell 2001   55  0.5288  0.0051  0.0549  0.0550  0.0573  0.05
Richter 1976   22  0.6170  0.0032  0.0631  0.277  0.4228  0.34
Rosen 1989   33  0.5730  0.0038  0.0738  0.1924  0.3439  0.25
Rosenthal 1930   51  0.5235  0.0034  0.0737  0.2017  0.5230  0.32
Rosenthal 1931   72  0.4075  0.0057  0.0368  0.0315  0.4650  0.12
Rosenthal 1931b   74  0.3877  0.0059  0.0464  0.0420  0.3851  0.12
Rosenthal 1931c   57  0.5136  0.0046  0.0547  0.0513  0.5245  0.16
Rosenthal 1931d   69  0.4666  0.0058  0.0546  0.059  0.4446  0.15
Rossi 2007   86  0.2391  0.0088  0.0373  0.0335  0.1763  0.07
Rubinstein 1939   83  0.2833  0.0080  0.0283  0.0239  0.1471  0.05
Rubinstein 1952   15  0.656  0.0219  0.0822  0.379  0.5218  0.44
Rubinstein 1966   28  0.5971  0.0039  0.0739  0.1912  0.4634  0.30
Schilhawsky 1960   53  0.5272  0.0067  0.0375  0.0340  0.1864  0.07
Shebanova 2002   27  0.607  0.0229  0.0728  0.3032  0.3135  0.30
Smith 1975   23  0.6139  0.0024  0.0725  0.3228  0.2833  0.30
Sokolov 2002   29  0.5954  0.0040  0.0741  0.1538  0.2243  0.18
Sztompka 1959   34  0.575  0.0337  0.0734  0.2325  0.3736  0.29
Tomsic 1995   2  0.732  0.142  0.177  0.553  0.644  0.59
Uninsky 1932   60  0.4925  0.0043  0.0545  0.1135  0.1847  0.14
Uninsky 1971   44  0.5419  0.0141  0.0644  0.1239  0.2444  0.17
Wasowski 1980   43  0.559  0.0145  0.0743  0.1321  0.3340  0.21
Zak 1937   37  0.5738  0.0021  0.0824  0.3417  0.4122  0.37
Zak 1951   31  0.5859  0.0020  0.0821  0.3715  0.4521  0.41
Average   1  0.801  0.491  0.491  0.7912  0.445  0.59
Random 1   90  -0.0476  0.0089  0.0289  0.0223  0.2666  0.07
Random 2   91  -0.0589  0.0090  0.0190  0.0171  0.0390  0.02
Random 3   89  -0.0481  0.0091  0.0191  0.0189  0.0191  0.01

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).