Neighaus 1950

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   25  0.7047  0.0024  0.0724  0.3313  0.3527  0.34
Anderszewski 2003   66  0.5187  0.0054  0.0552  0.0539  0.1363  0.08
Ashkenazy 1981   26  0.7057  0.0022  0.0929  0.3118  0.3530  0.33
Bacha 2000   47  0.6239  0.0061  0.0462  0.0418  0.3752  0.12
Badura 1965   68  0.4978  0.0071  0.0382  0.0346  0.0580  0.04
Barbosa 1983   61  0.5554  0.0036  0.0641  0.1620  0.3837  0.25
Biret 1990   15  0.7248  0.0031  0.0828  0.3112  0.3431  0.32
Blet 2003   30  0.6738  0.0035  0.0631  0.2711  0.4129  0.33
Block 1995   55  0.5831  0.0037  0.0644  0.1013  0.3342  0.18
Blumental 1952   80  0.4166  0.0067  0.0463  0.0438  0.1171  0.07
Boshniakovich 1969   18  0.7232  0.0030  0.0825  0.334  0.5419  0.42
Brailowsky 1960   52  0.6079  0.0070  0.0375  0.0373  0.0483  0.03
Bunin 1987   23  0.7127  0.0028  0.0627  0.3211  0.4524  0.38
Bunin 1987b   22  0.7130  0.0029  0.0826  0.3211  0.4522  0.38
Chiu 1999   50  0.6020  0.0125  0.0730  0.2711  0.4725  0.36
Cohen 1997   85  0.2859  0.0085  0.0380  0.0369  0.0388  0.03
Cortot 1951   59  0.5619  0.0166  0.0372  0.0353  0.0681  0.04
Csalog 1996   79  0.4173  0.0086  0.0371  0.0367  0.0386  0.03
Czerny 1949   39  0.6514  0.0227  0.0822  0.3415  0.4223  0.38
Czerny 1990   24  0.7012  0.0314  0.1214  0.4614  0.3820  0.42
Duchoud 2007   36  0.6677  0.0045  0.0645  0.0630  0.2750  0.13
Ezaki 2006   4  0.806  0.053  0.136  0.545  0.546  0.54
Falvay 1989   20  0.7144  0.0020  0.0723  0.3317  0.3328  0.33
Farrell 1958   11  0.759  0.054  0.1117  0.431  0.639  0.52
Ferenczy 1958   69  0.4963  0.0083  0.0378  0.0346  0.0579  0.04
Fliere 1977   2  0.813  0.082  0.1410  0.523  0.538  0.52
Fou 1978   21  0.714  0.0716  0.1219  0.4210  0.4917  0.45
Francois 1956   17  0.722  0.097  0.1113  0.494  0.5510  0.52
Friedman 1923   84  0.3058  0.0079  0.0374  0.0319  0.4055  0.11
Friedman 1923b   83  0.3174  0.0078  0.0466  0.0419  0.4051  0.13
Friedman 1930   72  0.4745  0.0053  0.0555  0.0517  0.3846  0.14
Garcia 2007   78  0.4270  0.0081  0.0283  0.0230  0.2470  0.07
Garcia 2007b   82  0.3684  0.0077  0.0376  0.0312  0.2762  0.09
Gierzod 1998   10  0.7560  0.0021  0.0820  0.367  0.3626  0.36
Gornostaeva 1994   7  0.7722  0.015  0.125  0.543  0.527  0.53
Groot 1988   9  0.7650  0.0018  0.1118  0.438  0.4818  0.45
Harasiewicz 1955   53  0.6011  0.0310  0.0912  0.499  0.4416  0.46
Hatto 1993   81  0.4185  0.0074  0.0377  0.0340  0.0975  0.05
Hatto 1997   70  0.4861  0.0059  0.0461  0.0439  0.1169  0.07
Horowitz 1949   32  0.6741  0.0041  0.0638  0.179  0.4236  0.27
Indjic 1988   77  0.4249  0.0068  0.0381  0.0347  0.0578  0.04
Kapell 1951   40  0.6333  0.0058  0.0458  0.0437  0.2060  0.09
Kissin 1993   31  0.6736  0.0034  0.0537  0.1723  0.3139  0.23
Kushner 1989   27  0.6880  0.0026  0.0633  0.2221  0.3235  0.27
Luisada 1991   46  0.6326  0.0132  0.0643  0.1321  0.3340  0.21
Lushtak 2004   14  0.7410  0.0513  0.138  0.527  0.5111  0.51
Malcuzynski 1961   1  0.851  0.191  0.191  0.651  0.621  0.63
Magaloff 1978   8  0.7716  0.0119  0.1311  0.494  0.4713  0.48
Magin 1975   58  0.5743  0.0049  0.0548  0.0528  0.2157  0.10
Michalowski 1933   76  0.4435  0.0046  0.0554  0.0532  0.2954  0.12
Milkina 1970   35  0.6681  0.0051  0.0551  0.0535  0.2058  0.10
Mohovich 1999   5  0.805  0.066  0.124  0.564  0.565  0.56
Moravec 1969   62  0.5468  0.0075  0.0465  0.0443  0.0872  0.06
Morozova 2008   51  0.6023  0.0133  0.0632  0.269  0.3133  0.28
Neighaus 1950   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Niedzielski 1931   74  0.4729  0.0084  0.0460  0.0449  0.0577  0.04
Ohlsson 1999   16  0.7221  0.0144  0.0842  0.1634  0.1743  0.16
Osinska 1989   41  0.6325  0.0140  0.0634  0.2218  0.3334  0.27
Pachmann 1927   57  0.5764  0.0052  0.0456  0.0420  0.4248  0.13
Paderewski 1930   56  0.5853  0.0065  0.0368  0.0327  0.1867  0.07
Perlemuter 1992   38  0.658  0.059  0.1015  0.463  0.5512  0.50
Pierdomenico 2008   42  0.6318  0.0139  0.0636  0.1815  0.3338  0.24
Poblocka 1999   33  0.6655  0.0043  0.0840  0.1742  0.1244  0.14
Rabcewiczowa 1932   28  0.6746  0.0038  0.0535  0.187  0.4832  0.29
Rachmaninoff 1923   48  0.6171  0.0023  0.0921  0.355  0.4421  0.39
Rangell 2001   37  0.6667  0.0057  0.0547  0.0540  0.1465  0.08
Richter 1976   75  0.4452  0.0082  0.0287  0.0255  0.0485  0.03
Rosen 1989   3  0.8015  0.028  0.102  0.571  0.682  0.62
Rosenthal 1930   60  0.5688  0.0063  0.0373  0.0331  0.2561  0.09
Rosenthal 1931   73  0.4775  0.0072  0.0285  0.0234  0.1974  0.06
Rosenthal 1931b   67  0.5089  0.0064  0.0464  0.0425  0.2659  0.10
Rosenthal 1931c   44  0.6356  0.0056  0.0646  0.0619  0.3547  0.14
Rosenthal 1931d   64  0.5390  0.0073  0.0379  0.0328  0.1966  0.08
Rossi 2007   86  0.2462  0.0080  0.0369  0.0334  0.1273  0.06
Rubinstein 1939   87  0.2486  0.0087  0.0286  0.0255  0.0584  0.03
Rubinstein 1952   65  0.5376  0.0076  0.0370  0.0345  0.0876  0.05
Rubinstein 1966   54  0.5937  0.0069  0.0284  0.0230  0.2268  0.07
Schilhawsky 1960   43  0.6365  0.0042  0.0639  0.1732  0.2241  0.19
Shebanova 2002   45  0.6372  0.0060  0.0457  0.0435  0.1764  0.08
Smith 1975   19  0.7217  0.0112  0.147  0.524  0.4214  0.47
Sokolov 2002   29  0.6742  0.0047  0.0550  0.0539  0.2056  0.10
Sztompka 1959   34  0.6640  0.0050  0.0459  0.0426  0.3553  0.12
Tomsic 1995   6  0.7834  0.0017  0.1116  0.4510  0.4915  0.47
Uninsky 1932   63  0.5469  0.0055  0.0549  0.0529  0.3249  0.13
Uninsky 1971   49  0.6028  0.0048  0.0553  0.0525  0.3745  0.14
Wasowski 1980   71  0.4824  0.0162  0.0367  0.0357  0.0482  0.03
Zak 1937   12  0.7413  0.0215  0.119  0.522  0.614  0.56
Zak 1951   13  0.747  0.0511  0.113  0.573  0.613  0.59
Random 1   89  -0.0451  0.0089  0.0189  0.0148  0.0589  0.02
Random 2   90  -0.1582  0.0090  0.0190  0.0187  0.0290  0.01
Random 3   88  0.0983  0.0088  0.0288  0.0256  0.0487  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).