Pachmann 1927

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   11  0.595  0.0610  0.0920  0.3352  0.0424  0.11
Anderszewski 2003   65  0.4032  0.0064  0.0471  0.0489  0.0273  0.03
Ashkenazy 1981   73  0.3985  0.0070  0.0561  0.0587  0.0361  0.04
Bacha 2000   41  0.4950  0.0063  0.0557  0.0569  0.0452  0.04
Badura 1965   48  0.4753  0.0035  0.0538  0.1366  0.0441  0.07
Barbosa 1983   47  0.4744  0.0028  0.0726  0.2153  0.0623  0.11
Biret 1990   43  0.4871  0.0065  0.0475  0.0485  0.0385  0.03
Blet 2003   20  0.5625  0.0137  0.0433  0.1778  0.0339  0.07
Block 1995   46  0.4781  0.0060  0.0549  0.0561  0.0460  0.04
Blumental 1952   84  0.2591  0.0085  0.0381  0.0371  0.0382  0.03
Boshniakovich 1969   6  0.606  0.054  0.186  0.5136  0.173  0.29
Brailowsky 1960   14  0.5922  0.0139  0.0437  0.1353  0.0532  0.08
Bunin 1987   28  0.529  0.0321  0.0715  0.3539  0.195  0.26
Bunin 1987b   32  0.5115  0.0122  0.1117  0.3541  0.168  0.24
Chiu 1999   18  0.582  0.123  0.195  0.5325  0.301  0.40
Cohen 1997   77  0.3610  0.0241  0.0443  0.1028  0.2115  0.14
Cortot 1951   81  0.3076  0.0086  0.0288  0.0287  0.0288  0.02
Csalog 1996   49  0.4621  0.0151  0.0556  0.0553  0.0550  0.05
Czerny 1949   57  0.4390  0.0073  0.0466  0.0487  0.0378  0.03
Czerny 1990   34  0.5074  0.0056  0.0550  0.0582  0.0362  0.04
Duchoud 2007   76  0.3782  0.0074  0.0468  0.0484  0.0379  0.03
Ezaki 2006   26  0.5389  0.0054  0.0554  0.0587  0.0351  0.04
Falvay 1989   4  0.6142  0.0016  0.079  0.4244  0.129  0.22
Farrell 1958   40  0.4954  0.0043  0.0442  0.1080  0.0348  0.05
Ferenczy 1958   59  0.4383  0.0079  0.0384  0.0378  0.0376  0.03
Fliere 1977   2  0.644  0.092  0.242  0.6656  0.0414  0.16
Fou 1978   1  0.661  0.221  0.221  0.6733  0.212  0.38
Francois 1956   21  0.5519  0.0127  0.0624  0.2767  0.0330  0.09
Friedman 1923   88  0.2087  0.0089  0.0287  0.0283  0.0390  0.02
Friedman 1923b   87  0.2086  0.0088  0.0379  0.0382  0.0383  0.03
Friedman 1930   82  0.3033  0.0082  0.0377  0.0383  0.0375  0.03
Garcia 2007   79  0.3578  0.0080  0.0382  0.0368  0.0480  0.03
Garcia 2007b   85  0.2435  0.0081  0.0285  0.0288  0.0289  0.02
Gierzod 1998   36  0.5037  0.0033  0.0535  0.1378  0.0346  0.06
Gornostaeva 1994   24  0.5436  0.0048  0.0469  0.0481  0.0384  0.03
Groot 1988   15  0.5877  0.0012  0.0913  0.3843  0.1010  0.19
Harasiewicz 1955   31  0.5138  0.0024  0.0622  0.2987  0.0236  0.08
Hatto 1993   80  0.3488  0.0031  0.0631  0.1873  0.0435  0.08
Hatto 1997   64  0.4011  0.0215  0.0825  0.2366  0.0426  0.10
Horowitz 1949   37  0.4924  0.0134  0.0540  0.1154  0.0538  0.07
Indjic 1988   71  0.3980  0.0030  0.0629  0.2171  0.0429  0.09
Kapell 1951   55  0.4465  0.0071  0.0646  0.0671  0.0449  0.05
Kissin 1993   12  0.5929  0.009  0.1110  0.4072  0.0322  0.11
Kushner 1989   27  0.5260  0.0046  0.0470  0.0472  0.0455  0.04
Luisada 1991   50  0.4651  0.0032  0.0732  0.1780  0.0337  0.07
Lushtak 2004   9  0.603  0.117  0.167  0.5039  0.144  0.26
Malcuzynski 1961   39  0.4961  0.0055  0.0551  0.0586  0.0356  0.04
Magaloff 1978   23  0.5440  0.0011  0.0811  0.3867  0.0417  0.12
Magin 1975   72  0.3931  0.0062  0.0465  0.0481  0.0371  0.03
Michalowski 1933   83  0.2945  0.0078  0.0286  0.0280  0.0387  0.02
Milkina 1970   13  0.5918  0.0113  0.0912  0.3874  0.0418  0.12
Mohovich 1999   8  0.6068  0.0017  0.0816  0.3577  0.0327  0.10
Moravec 1969   78  0.3562  0.0083  0.0474  0.0488  0.0265  0.03
Morozova 2008   51  0.4557  0.0050  0.0472  0.0473  0.0374  0.03
Neighaus 1950   5  0.6117  0.0118  0.0914  0.3874  0.0421  0.12
Niedzielski 1931   74  0.3828  0.0076  0.0378  0.0381  0.0370  0.03
Ohlsson 1999   42  0.4839  0.0044  0.0444  0.1071  0.0444  0.06
Osinska 1989   35  0.5079  0.0059  0.0464  0.0475  0.0367  0.03
Pachmann 1927   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Paderewski 1930   22  0.557  0.0414  0.0919  0.3445  0.1012  0.18
Perlemuter 1992   19  0.5623  0.0126  0.0728  0.2181  0.0331  0.08
Pierdomenico 2008   63  0.4152  0.0049  0.0473  0.0456  0.0554  0.04
Poblocka 1999   25  0.5366  0.0029  0.0830  0.1975  0.0333  0.08
Rabcewiczowa 1932   56  0.4443  0.0068  0.0555  0.0585  0.0272  0.03
Rachmaninoff 1923   54  0.4430  0.0067  0.0463  0.0484  0.0368  0.03
Rangell 2001   58  0.4359  0.0053  0.0647  0.0671  0.0363  0.04
Richter 1976   30  0.5216  0.0123  0.0627  0.2156  0.0525  0.10
Rosen 1989   33  0.5149  0.0040  0.0536  0.1374  0.0347  0.06
Rosenthal 1930   68  0.3956  0.0072  0.0648  0.0685  0.0281  0.03
Rosenthal 1931   62  0.4146  0.0057  0.0560  0.0564  0.0459  0.04
Rosenthal 1931b   61  0.4272  0.0042  0.0541  0.1161  0.0443  0.07
Rosenthal 1931c   66  0.4070  0.0069  0.0553  0.0571  0.0364  0.04
Rosenthal 1931d   53  0.4541  0.0038  0.0534  0.1457  0.0534  0.08
Rossi 2007   86  0.2148  0.0087  0.0289  0.0287  0.0286  0.02
Rubinstein 1939   67  0.3914  0.0152  0.0558  0.0540  0.1728  0.09
Rubinstein 1952   45  0.4720  0.0125  0.0623  0.2839  0.246  0.26
Rubinstein 1966   29  0.5258  0.0045  0.0445  0.0859  0.0545  0.06
Schilhawsky 1960   38  0.4973  0.0036  0.0539  0.1275  0.0440  0.07
Shebanova 2002   17  0.5847  0.0020  0.0921  0.3153  0.0520  0.12
Smith 1975   44  0.4867  0.0047  0.0476  0.0487  0.0269  0.03
Sokolov 2002   69  0.3963  0.0066  0.0562  0.0576  0.0353  0.04
Sztompka 1959   60  0.4234  0.0075  0.0559  0.0588  0.0357  0.04
Tomsic 1995   10  0.6012  0.0219  0.1318  0.3541  0.187  0.25
Uninsky 1932   75  0.3775  0.0077  0.0380  0.0385  0.0377  0.03
Uninsky 1971   52  0.4526  0.0061  0.0552  0.0575  0.0458  0.04
Wasowski 1980   70  0.3955  0.0058  0.0467  0.0486  0.0366  0.03
Zak 1937   7  0.608  0.046  0.244  0.5654  0.0611  0.18
Zak 1951   16  0.5813  0.025  0.183  0.5760  0.0513  0.17
Average   3  0.6469  0.008  0.218  0.4980  0.0319  0.12
Random 1   90  -0.1064  0.0090  0.0190  0.017  0.4842  0.07
Random 2   89  -0.0684  0.0084  0.0383  0.032  0.5716  0.13
Random 3   91  -0.1327  0.0091  0.0191  0.0182  0.0291  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).