Pachmann 1927

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   70  0.2247  0.0075  0.0477  0.0462  0.0470  0.04
Anderszewski 2003   82  0.1770  0.0064  0.0564  0.0582  0.0367  0.04
Ashkenazy 1981   17  0.3829  0.0023  0.1120  0.4554  0.0725  0.18
Bacha 2000   64  0.2542  0.0063  0.0560  0.0564  0.0457  0.04
Badura 1965   56  0.2661  0.0037  0.0539  0.1551  0.0441  0.08
Barbosa 1983   62  0.2573  0.0058  0.0467  0.0477  0.0466  0.04
Biret 1990   75  0.2164  0.0076  0.0382  0.0374  0.0482  0.03
Blet 2003   71  0.2235  0.0074  0.0478  0.0487  0.0277  0.03
Block 1995   25  0.3638  0.0021  0.0922  0.4449  0.0724  0.18
Blumental 1952   77  0.1952  0.0079  0.0476  0.0471  0.0571  0.04
Boshniakovich 1969   2  0.481  0.401  0.392  0.7912  0.592  0.68
Brailowsky 1960   73  0.2178  0.0070  0.0471  0.0473  0.0559  0.04
Bunin 1987   40  0.3139  0.0034  0.0733  0.2450  0.0636  0.12
Bunin 1987b   43  0.3179  0.0033  0.0734  0.2446  0.0928  0.15
Chiu 1999   26  0.3523  0.0035  0.0832  0.2849  0.0629  0.13
Cohen 1997   66  0.2455  0.0071  0.0380  0.0378  0.0381  0.03
Cortot 1951   74  0.2174  0.0072  0.0379  0.0369  0.0483  0.03
Csalog 1996   18  0.3848  0.0022  0.1014  0.5037  0.1516  0.27
Czerny 1949   80  0.1727  0.0073  0.0474  0.0470  0.0469  0.04
Czerny 1990   58  0.2626  0.0051  0.0847  0.0868  0.0448  0.06
Duchoud 2007   36  0.3241  0.0040  0.0636  0.1847  0.0835  0.12
Ezaki 2006   53  0.2836  0.0053  0.0656  0.0666  0.0550  0.05
Falvay 1989   57  0.2685  0.0054  0.0752  0.0786  0.0260  0.04
Farrell 1958   59  0.2632  0.0050  0.0750  0.0764  0.0546  0.06
Ferenczy 1958   85  0.1269  0.0085  0.0387  0.0379  0.0379  0.03
Fliere 1977   3  0.4518  0.014  0.183  0.6954  0.0621  0.20
Fou 1978   31  0.3311  0.0125  0.1228  0.3666  0.0434  0.12
Francois 1956   76  0.2040  0.0081  0.0381  0.0386  0.0289  0.02
Friedman 1923   12  0.4024  0.0012  0.1410  0.5622  0.497  0.52
Friedman 1923b   7  0.423  0.086  0.177  0.6121  0.525  0.56
Friedman 1930   27  0.3522  0.0029  0.0731  0.3143  0.1023  0.18
Garcia 2007   35  0.3334  0.0027  0.0626  0.3734  0.1818  0.26
Garcia 2007b   54  0.2744  0.0046  0.0848  0.0861  0.0549  0.06
Gierzod 1998   34  0.3358  0.0041  0.0541  0.1471  0.0444  0.07
Gornostaeva 1994   38  0.3150  0.0055  0.0749  0.0772  0.0355  0.05
Groot 1988   49  0.2881  0.0056  0.0845  0.0884  0.0356  0.05
Harasiewicz 1955   16  0.3859  0.0030  0.0830  0.3366  0.0531  0.13
Hatto 1993   55  0.2783  0.0059  0.0654  0.0682  0.0372  0.04
Hatto 1997   83  0.1686  0.0082  0.0565  0.0584  0.0368  0.04
Horowitz 1949   67  0.2387  0.0061  0.0566  0.0582  0.0363  0.04
Indjic 1988   65  0.2489  0.0062  0.0562  0.0583  0.0365  0.04
Kapell 1951   24  0.368  0.0120  0.1018  0.4768  0.0527  0.15
Kissin 1993   23  0.369  0.0117  0.0815  0.4942  0.1813  0.30
Kushner 1989   21  0.3721  0.0019  0.0816  0.4865  0.0526  0.15
Luisada 1991   47  0.2975  0.0067  0.0563  0.0571  0.0551  0.05
Lushtak 2004   50  0.2849  0.0049  0.0846  0.0875  0.0447  0.06
Malcuzynski 1961   13  0.3912  0.017  0.156  0.6141  0.1612  0.31
Magaloff 1978   6  0.436  0.023  0.194  0.6416  0.446  0.53
Magin 1975   10  0.4025  0.0010  0.118  0.6135  0.308  0.43
Michalowski 1933   29  0.3416  0.0126  0.0925  0.3722  0.409  0.38
Milkina 1970   78  0.1930  0.0077  0.0472  0.0482  0.0375  0.03
Mohovich 1999   32  0.3365  0.0042  0.0640  0.1567  0.0442  0.08
Moravec 1969   63  0.2572  0.0066  0.0470  0.0470  0.0458  0.04
Morozova 2008   42  0.3137  0.0043  0.0643  0.1262  0.0540  0.08
Neighaus 1950   22  0.3646  0.0024  0.1423  0.4340  0.1915  0.29
Niedzielski 1931   48  0.2871  0.0044  0.0644  0.1153  0.0543  0.07
Ohlsson 1999   20  0.3714  0.0115  0.1021  0.4566  0.0430  0.13
Osinska 1989   9  0.4115  0.0116  0.0824  0.3970  0.0433  0.12
Pachmann 1927   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Paderewski 1930   11  0.4013  0.0111  0.1013  0.539  0.604  0.56
Perlemuter 1992   15  0.3831  0.0028  0.0727  0.3639  0.1819  0.25
Pierdomenico 2008   4  0.455  0.028  0.159  0.607  0.583  0.59
Poblocka 1999   52  0.2863  0.0060  0.0751  0.0777  0.0352  0.05
Rabcewiczowa 1932   51  0.2833  0.0057  0.0559  0.0570  0.0462  0.04
Rachmaninoff 1923   79  0.1880  0.0078  0.0473  0.0481  0.0374  0.03
Rangell 2001   37  0.3256  0.0038  0.0637  0.1757  0.0538  0.09
Richter 1976   1  0.502  0.262  0.431  0.8114  0.641  0.72
Rosen 1989   5  0.454  0.029  0.205  0.6229  0.2210  0.37
Rosenthal 1930   81  0.1776  0.0083  0.0383  0.0381  0.0380  0.03
Rosenthal 1931   84  0.1366  0.0084  0.0385  0.0384  0.0286  0.02
Rosenthal 1931b   86  0.1084  0.0086  0.0386  0.0384  0.0384  0.03
Rosenthal 1931c   72  0.2267  0.0069  0.0475  0.0487  0.0285  0.03
Rosenthal 1931d   87  0.0990  0.0087  0.0384  0.0388  0.0288  0.02
Rossi 2007   41  0.3117  0.0132  0.0738  0.1718  0.4117  0.26
Rubinstein 1939   61  0.2510  0.0152  0.0753  0.0774  0.0353  0.05
Rubinstein 1952   46  0.2957  0.0048  0.0655  0.0684  0.0373  0.04
Rubinstein 1966   60  0.2677  0.0065  0.0468  0.0471  0.0378  0.03
Schilhawsky 1960   39  0.3168  0.0045  0.0657  0.0658  0.0554  0.05
Shebanova 2002   8  0.417  0.025  0.1411  0.5549  0.0722  0.20
Smith 1975   69  0.2362  0.0080  0.0561  0.0573  0.0461  0.04
Sokolov 2002   45  0.3045  0.0036  0.0642  0.1461  0.0539  0.08
Sztompka 1959   33  0.3382  0.0047  0.0558  0.0568  0.0464  0.04
Tomsic 1995   44  0.3028  0.0039  0.0635  0.1958  0.0537  0.10
Uninsky 1932   28  0.3543  0.0014  0.0919  0.4734  0.1914  0.30
Uninsky 1971   68  0.2351  0.0068  0.0469  0.0479  0.0376  0.03
Wasowski 1980   30  0.3460  0.0031  0.0829  0.3579  0.0432  0.12
Zak 1937   14  0.3920  0.0013  0.1012  0.5336  0.1811  0.31
Zak 1951   19  0.3819  0.0118  0.0917  0.4742  0.1220  0.24
Random 1   88  -0.0353  0.0088  0.0189  0.0147  0.0587  0.02
Random 2   90  -0.0788  0.0090  0.0190  0.0186  0.0290  0.01
Random 3   89  -0.0454  0.0089  0.0288  0.0227  0.2345  0.07

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).