Badura 1965

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   2  0.551  0.211  0.211  0.6416  0.412  0.51
Anderszewski 2003   56  0.3628  0.0148  0.0550  0.0571  0.0366  0.04
Ashkenazy 1981   11  0.4816  0.0110  0.1210  0.4657  0.0425  0.14
Bacha 2000   83  0.2039  0.0080  0.0380  0.0375  0.0375  0.03
Badura 1965   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Barbosa 1983   46  0.4081  0.0038  0.0642  0.1256  0.0545  0.08
Biret 1990   70  0.2863  0.0072  0.0470  0.0471  0.0470  0.04
Blet 2003   19  0.4543  0.0021  0.0916  0.3959  0.0524  0.14
Block 1995   61  0.3417  0.0171  0.0374  0.0363  0.0481  0.03
Blumental 1952   52  0.3721  0.0152  0.0468  0.0435  0.1748  0.08
Boshniakovich 1969   15  0.4630  0.0026  0.0729  0.2633  0.2416  0.25
Brailowsky 1960   60  0.3437  0.0077  0.0549  0.0548  0.0554  0.05
Bunin 1987   41  0.4031  0.0041  0.0737  0.1948  0.0635  0.11
Bunin 1987b   40  0.4059  0.0040  0.0435  0.2047  0.0631  0.11
Chiu 1999   66  0.3252  0.0068  0.0463  0.0481  0.0376  0.03
Cohen 1997   84  0.2085  0.0078  0.0376  0.0359  0.0483  0.03
Cortot 1951   30  0.4332  0.0031  0.0531  0.2533  0.2517  0.25
Csalog 1996   64  0.3469  0.0059  0.0459  0.0433  0.2638  0.10
Czerny 1949   16  0.4689  0.0030  0.0632  0.2244  0.1221  0.16
Czerny 1990   8  0.4975  0.0022  0.0821  0.3760  0.0526  0.14
Duchoud 2007   36  0.4145  0.0020  0.0713  0.4140  0.1418  0.24
Ezaki 2006   1  0.566  0.052  0.153  0.6221  0.343  0.46
Falvay 1989   34  0.4223  0.0146  0.0551  0.0568  0.0461  0.04
Farrell 1958   73  0.2582  0.0082  0.0379  0.0355  0.0478  0.03
Ferenczy 1958   67  0.3136  0.0053  0.0466  0.0441  0.1251  0.07
Fliere 1977   9  0.4972  0.0019  0.0712  0.4565  0.0428  0.13
Fou 1978   28  0.439  0.038  0.116  0.5233  0.268  0.37
Francois 1956   43  0.4048  0.0058  0.0471  0.0465  0.0385  0.03
Friedman 1923   75  0.2435  0.0064  0.0460  0.0423  0.3037  0.11
Friedman 1923b   76  0.2454  0.0066  0.0462  0.0426  0.2836  0.11
Friedman 1930   53  0.3627  0.0157  0.0553  0.0543  0.1050  0.07
Garcia 2007   86  0.1070  0.0084  0.0284  0.0271  0.0389  0.02
Garcia 2007b   87  0.0971  0.0087  0.0287  0.0282  0.0290  0.02
Gierzod 1998   22  0.4424  0.0128  0.0727  0.2844  0.0922  0.16
Gornostaeva 1994   25  0.4457  0.0024  0.0828  0.2762  0.0439  0.10
Groot 1988   29  0.4315  0.0137  0.0539  0.1570  0.0352  0.07
Harasiewicz 1955   17  0.4644  0.0034  0.0530  0.2677  0.0343  0.09
Hatto 1993   78  0.2260  0.0056  0.0472  0.0462  0.0472  0.04
Hatto 1997   77  0.2380  0.0047  0.0455  0.0464  0.0467  0.04
Horowitz 1949   62  0.3474  0.0074  0.0378  0.0361  0.0479  0.03
Indjic 1988   80  0.2276  0.0055  0.0458  0.0447  0.0658  0.05
Kapell 1951   59  0.3583  0.0063  0.0646  0.0659  0.0455  0.05
Kissin 1993   12  0.4742  0.0023  0.1117  0.3850  0.0623  0.15
Kushner 1989   7  0.514  0.064  0.122  0.6211  0.481  0.55
Luisada 1991   68  0.3065  0.0065  0.0469  0.0467  0.0459  0.04
Lushtak 2004   31  0.4213  0.0211  0.0914  0.4040  0.1419  0.24
Malcuzynski 1961   4  0.5225  0.016  0.124  0.6135  0.229  0.37
Magaloff 1978   48  0.3926  0.0145  0.0554  0.0556  0.0460  0.04
Magin 1975   55  0.3664  0.0049  0.0552  0.0558  0.0463  0.04
Michalowski 1933   65  0.3273  0.0073  0.0457  0.0461  0.0465  0.04
Milkina 1970   50  0.3849  0.0062  0.0645  0.0649  0.0557  0.05
Mohovich 1999   47  0.3958  0.0061  0.0456  0.0451  0.0568  0.04
Moravec 1969   23  0.4418  0.0135  0.0440  0.1537  0.1227  0.13
Morozova 2008   5  0.5214  0.017  0.107  0.4936  0.1415  0.26
Neighaus 1950   54  0.3690  0.0060  0.0464  0.0470  0.0471  0.04
Niedzielski 1931   82  0.2040  0.0083  0.0285  0.0280  0.0388  0.02
Ohlsson 1999   21  0.4441  0.0029  0.0825  0.3056  0.0432  0.11
Osinska 1989   35  0.4284  0.0044  0.0444  0.0971  0.0453  0.06
Pachmann 1927   71  0.2866  0.0069  0.0377  0.0352  0.0564  0.04
Paderewski 1930   42  0.4022  0.0151  0.0467  0.0464  0.0380  0.03
Perlemuter 1992   24  0.4467  0.0033  0.0526  0.2839  0.1320  0.19
Pierdomenico 2008   72  0.2755  0.0081  0.0286  0.0278  0.0387  0.02
Poblocka 1999   26  0.4446  0.0025  0.0722  0.3356  0.0529  0.13
Rabcewiczowa 1932   58  0.3553  0.0075  0.0375  0.0360  0.0477  0.03
Rachmaninoff 1923   45  0.4079  0.0036  0.0541  0.1462  0.0449  0.07
Rangell 2001   27  0.4412  0.0217  0.0718  0.3826  0.2712  0.32
Richter 1976   57  0.3529  0.0142  0.0643  0.1249  0.0544  0.08
Rosen 1989   49  0.3811  0.0314  0.0833  0.2270  0.0347  0.08
Rosenthal 1930   20  0.455  0.0512  0.1215  0.4021  0.464  0.43
Rosenthal 1931   69  0.3034  0.0067  0.0647  0.0638  0.1542  0.09
Rosenthal 1931b   74  0.2561  0.0070  0.0473  0.0463  0.0473  0.04
Rosenthal 1931c   44  0.4047  0.0027  0.0624  0.3122  0.3611  0.33
Rosenthal 1931d   81  0.2177  0.0079  0.0382  0.0362  0.0484  0.03
Rossi 2007   79  0.2287  0.0085  0.0383  0.0385  0.0286  0.02
Rubinstein 1939   85  0.1638  0.0086  0.0381  0.0354  0.0562  0.04
Rubinstein 1952   63  0.3488  0.0076  0.0465  0.0464  0.0574  0.04
Rubinstein 1966   32  0.427  0.0418  0.0811  0.4522  0.395  0.42
Schilhawsky 1960   38  0.4133  0.0039  0.0436  0.1949  0.0633  0.11
Shebanova 2002   33  0.4250  0.0032  0.0634  0.2152  0.0634  0.11
Smith 1975   14  0.4719  0.0115  0.0723  0.3359  0.0430  0.11
Sokolov 2002   18  0.4656  0.0016  0.0719  0.3840  0.1914  0.27
Sztompka 1959   13  0.4710  0.0313  0.0920  0.3734  0.2313  0.29
Tomsic 1995   10  0.482  0.153  0.165  0.5826  0.2410  0.37
Uninsky 1932   3  0.5320  0.019  0.108  0.4818  0.337  0.40
Uninsky 1971   6  0.513  0.105  0.129  0.4727  0.366  0.41
Wasowski 1980   39  0.418  0.0350  0.0461  0.0435  0.1940  0.09
Zak 1937   51  0.3751  0.0054  0.0548  0.0553  0.0556  0.05
Zak 1951   37  0.4186  0.0043  0.0738  0.1561  0.0541  0.09
Random 1   90  -0.0468  0.0090  0.0190  0.0143  0.0882  0.03
Random 2   88  0.0262  0.0088  0.0288  0.0219  0.3246  0.08
Random 3   89  -0.0278  0.0089  0.0189  0.0136  0.1769  0.04

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).