Pachmann 1927

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   6  0.6873  0.008  0.095  0.4757  0.059  0.15
Anderszewski 2003   7  0.6767  0.0037  0.0533  0.1684  0.0342  0.07
Ashkenazy 1981   74  0.4555  0.0058  0.0369  0.0366  0.0479  0.03
Bacha 2000   69  0.4664  0.0070  0.0366  0.0365  0.0464  0.03
Badura 1965   12  0.644  0.077  0.092  0.5136  0.312  0.40
Barbosa 1983   86  0.3158  0.0088  0.0378  0.0382  0.0370  0.03
Biret 1990   51  0.5256  0.0064  0.0460  0.0458  0.0458  0.04
Blet 2003   35  0.5771  0.0049  0.0456  0.0481  0.0371  0.03
Block 1995   40  0.5657  0.0050  0.0548  0.0580  0.0356  0.04
Blumental 1952   70  0.4674  0.0048  0.0453  0.0487  0.0377  0.03
Boshniakovich 1969   1  0.732  0.132  0.153  0.5166  0.056  0.16
Brailowsky 1960   31  0.5852  0.0086  0.0376  0.0388  0.0284  0.02
Bunin 1987   68  0.4739  0.0043  0.0544  0.1047  0.0835  0.09
Bunin 1987b   78  0.4411  0.0142  0.0542  0.1047  0.0833  0.09
Chiu 1999   54  0.5187  0.0059  0.0368  0.0385  0.0367  0.03
Cohen 1997   88  0.2944  0.0082  0.0287  0.0252  0.0580  0.03
Cortot 1951   63  0.4876  0.0062  0.0461  0.0486  0.0382  0.03
Csalog 1996   85  0.3577  0.0068  0.0374  0.0387  0.0287  0.02
Czerny 1949   23  0.6159  0.0041  0.0538  0.1356  0.0537  0.08
Czerny 1990   8  0.6613  0.0118  0.0717  0.3656  0.0424  0.12
Duchoud 2007   81  0.4238  0.0060  0.0372  0.0370  0.0375  0.03
Ezaki 2006   32  0.5826  0.0161  0.0362  0.0376  0.0363  0.03
Falvay 1989   38  0.577  0.0327  0.0635  0.1645  0.165  0.16
Farrell 1958   61  0.4919  0.0156  0.0547  0.0571  0.0452  0.04
Ferenczy 1958   45  0.5431  0.0085  0.0282  0.0286  0.0288  0.02
Fliere 1977   5  0.6936  0.0012  0.1013  0.4272  0.0413  0.13
Fou 1978   28  0.5965  0.0024  0.1015  0.3768  0.0421  0.12
Francois 1956   16  0.6312  0.015  0.1012  0.4259  0.0420  0.13
Friedman 1923   52  0.5281  0.0083  0.0289  0.0276  0.0391  0.02
Friedman 1923b   60  0.5090  0.0081  0.0283  0.0286  0.0389  0.02
Friedman 1930   30  0.5924  0.0176  0.0375  0.0373  0.0473  0.03
Garcia 2007   53  0.5288  0.0066  0.0458  0.0488  0.0276  0.03
Garcia 2007b   66  0.4749  0.0075  0.0379  0.0385  0.0290  0.02
Gierzod 1998   9  0.6520  0.016  0.0914  0.3964  0.0423  0.12
Gornostaeva 1994   17  0.6314  0.0130  0.0632  0.1769  0.0343  0.07
Groot 1988   62  0.4961  0.0071  0.0363  0.0378  0.0481  0.03
Harasiewicz 1955   18  0.6330  0.0025  0.0825  0.2774  0.0432  0.10
Hatto 1993   65  0.4762  0.0053  0.0452  0.0465  0.0559  0.04
Hatto 1997   57  0.5160  0.0054  0.0646  0.0660  0.0548  0.05
Horowitz 1949   58  0.5154  0.0036  0.0641  0.1172  0.0441  0.07
Indjic 1988   56  0.5189  0.0052  0.0459  0.0460  0.0554  0.04
Kapell 1951   59  0.5143  0.0047  0.0549  0.0587  0.0269  0.03
Kissin 1993   11  0.6447  0.0011  0.0716  0.3766  0.0326  0.11
Kushner 1989   3  0.711  0.311  0.316  0.4638  0.153  0.26
Luisada 1991   36  0.5772  0.0015  0.0724  0.2870  0.0425  0.11
Lushtak 2004   19  0.636  0.0410  0.088  0.4559  0.0419  0.13
Malcuzynski 1961   67  0.475  0.0526  0.0737  0.1468  0.0440  0.07
Magaloff 1978   43  0.5535  0.0040  0.0539  0.1373  0.0438  0.07
Magin 1975   34  0.5829  0.0114  0.0911  0.4269  0.0414  0.13
Michalowski 1933   22  0.6127  0.0132  0.0627  0.2570  0.0431  0.10
Milkina 1970   24  0.6170  0.0045  0.0545  0.1087  0.0346  0.05
Mohovich 1999   41  0.5646  0.0063  0.0370  0.0379  0.0478  0.03
Moravec 1969   83  0.419  0.0287  0.0284  0.0271  0.0465  0.03
Morozova 2008   26  0.6032  0.004  0.134  0.4754  0.0410  0.14
Neighaus 1950   13  0.6422  0.0144  0.0543  0.1063  0.0544  0.07
Niedzielski 1931   55  0.5142  0.0080  0.0286  0.0286  0.0386  0.02
Ohlsson 1999   37  0.5721  0.0120  0.0718  0.3564  0.0422  0.12
Osinska 1989   21  0.6263  0.0065  0.0457  0.0467  0.0451  0.04
Pachmann 1927   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Paderewski 1930   4  0.703  0.093  0.141  0.5829  0.271  0.40
Perlemuter 1992   10  0.6445  0.0038  0.0534  0.1664  0.0436  0.08
Pierdomenico 2008   77  0.4510  0.0216  0.0723  0.2940  0.164  0.22
Poblocka 1999   15  0.6323  0.0113  0.087  0.4656  0.057  0.15
Rabcewiczowa 1932   20  0.6216  0.0117  0.089  0.4361  0.0415  0.13
Rachmaninoff 1923   27  0.5953  0.0039  0.0536  0.1687  0.0339  0.07
Rangell 2001   84  0.3818  0.0135  0.0540  0.1184  0.0345  0.06
Richter 1976   48  0.5385  0.0046  0.0454  0.0454  0.0647  0.05
Rosen 1989   44  0.5579  0.0028  0.0626  0.2682  0.0334  0.09
Rosenthal 1930   39  0.5668  0.0031  0.0629  0.2444  0.0812  0.14
Rosenthal 1931   76  0.4548  0.0077  0.0380  0.0355  0.0555  0.04
Rosenthal 1931b   75  0.4591  0.0074  0.0364  0.0354  0.0560  0.04
Rosenthal 1931c   64  0.4782  0.0055  0.0550  0.0562  0.0461  0.04
Rosenthal 1931d   73  0.4686  0.0073  0.0373  0.0347  0.0750  0.05
Rossi 2007   82  0.4141  0.0089  0.0285  0.0268  0.0466  0.03
Rubinstein 1939   80  0.4334  0.0078  0.0281  0.0288  0.0385  0.02
Rubinstein 1952   87  0.2975  0.0051  0.0451  0.0475  0.0462  0.04
Rubinstein 1966   72  0.4683  0.0079  0.0377  0.0382  0.0472  0.03
Schilhawsky 1960   29  0.5925  0.0134  0.0528  0.2561  0.0527  0.11
Shebanova 2002   14  0.6466  0.0021  0.0822  0.3254  0.0518  0.13
Smith 1975   47  0.5380  0.0067  0.0367  0.0372  0.0468  0.03
Sokolov 2002   79  0.448  0.0219  0.0720  0.3468  0.0329  0.10
Sztompka 1959   25  0.6050  0.0033  0.0530  0.2268  0.0530  0.10
Tomsic 1995   42  0.5528  0.0129  0.0531  0.1843  0.128  0.15
Uninsky 1932   50  0.5378  0.0069  0.0371  0.0378  0.0374  0.03
Uninsky 1971   49  0.5337  0.0057  0.0455  0.0462  0.0553  0.04
Wasowski 1980   71  0.4633  0.0084  0.0288  0.0284  0.0383  0.02
Zak 1937   33  0.5815  0.0123  0.1021  0.3354  0.0516  0.13
Zak 1951   46  0.5417  0.0122  0.1119  0.3454  0.0517  0.13
Average   2  0.7151  0.009  0.0910  0.4283  0.0328  0.11
Random 1   91  -0.2240  0.0091  0.0191  0.0133  0.1757  0.04
Random 2   89  0.0069  0.0072  0.0365  0.031  0.6911  0.14
Random 3   90  -0.1384  0.0090  0.0190  0.0128  0.2949  0.05

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).