Pachmann 1927

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   71  0.2248  0.0076  0.0378  0.0363  0.0479  0.03
Anderszewski 2003   83  0.1772  0.0065  0.0565  0.0583  0.0368  0.04
Ashkenazy 1981   18  0.3830  0.0024  0.1121  0.4555  0.0726  0.18
Bacha 2000   65  0.2543  0.0064  0.0561  0.0565  0.0457  0.04
Badura 1965   57  0.2660  0.0038  0.0540  0.1552  0.0440  0.08
Barbosa 1983   63  0.2574  0.0059  0.0468  0.0478  0.0467  0.04
Biret 1990   76  0.2165  0.0077  0.0383  0.0375  0.0382  0.03
Blet 2003   72  0.2236  0.0075  0.0379  0.0388  0.0287  0.02
Block 1995   26  0.3639  0.0022  0.0923  0.4450  0.0725  0.18
Blumental 1952   78  0.1953  0.0080  0.0477  0.0472  0.0571  0.04
Boshniakovich 1969   3  0.481  0.341  0.343  0.7913  0.592  0.68
Brailowsky 1960   74  0.2179  0.0071  0.0472  0.0474  0.0559  0.04
Bunin 1987   41  0.3140  0.0035  0.0734  0.2451  0.0636  0.12
Bunin 1987b   44  0.3180  0.0034  0.0735  0.2447  0.0929  0.15
Chiu 1999   27  0.3524  0.0036  0.0833  0.2850  0.0630  0.13
Cohen 1997   67  0.2456  0.0072  0.0381  0.0379  0.0381  0.03
Cortot 1951   75  0.2175  0.0073  0.0380  0.0370  0.0483  0.03
Csalog 1996   19  0.3849  0.0023  0.1015  0.5038  0.1516  0.27
Czerny 1949   81  0.1728  0.0074  0.0475  0.0471  0.0470  0.04
Czerny 1990   59  0.2627  0.0052  0.0848  0.0869  0.0449  0.06
Duchoud 2007   37  0.3242  0.0041  0.0637  0.1848  0.0737  0.11
Ezaki 2006   54  0.2837  0.0054  0.0657  0.0667  0.0551  0.05
Falvay 1989   58  0.2686  0.0055  0.0753  0.0787  0.0260  0.04
Farrell 1958   60  0.2633  0.0051  0.0751  0.0765  0.0547  0.06
Ferenczy 1958   86  0.1269  0.0086  0.0388  0.0380  0.0378  0.03
Fliere 1977   4  0.4519  0.015  0.184  0.6955  0.0621  0.20
Fou 1978   32  0.3312  0.0126  0.1229  0.3667  0.0435  0.12
Francois 1956   77  0.2041  0.0082  0.0382  0.0387  0.0290  0.02
Friedman 1923   13  0.4025  0.0013  0.1411  0.5623  0.497  0.52
Friedman 1923b   8  0.424  0.077  0.178  0.6122  0.525  0.56
Friedman 1930   28  0.3523  0.0030  0.0732  0.3144  0.1024  0.18
Garcia 2007   36  0.3335  0.0028  0.0627  0.3735  0.1818  0.26
Garcia 2007b   55  0.2746  0.0047  0.0749  0.0762  0.0550  0.06
Gierzod 1998   35  0.3359  0.0042  0.0542  0.1472  0.0445  0.07
Gornostaeva 1994   39  0.3151  0.0056  0.0750  0.0773  0.0355  0.05
Groot 1988   50  0.2882  0.0057  0.0846  0.0885  0.0356  0.05
Harasiewicz 1955   17  0.3861  0.0031  0.0831  0.3367  0.0532  0.13
Hatto 1993   56  0.2784  0.0060  0.0655  0.0683  0.0372  0.04
Hatto 1997   84  0.1687  0.0083  0.0566  0.0585  0.0369  0.04
Horowitz 1949   68  0.2389  0.0062  0.0567  0.0583  0.0364  0.04
Indjic 1988   66  0.2490  0.0063  0.0563  0.0584  0.0366  0.04
Kapell 1951   25  0.369  0.0121  0.0919  0.4769  0.0528  0.15
Kissin 1993   24  0.3610  0.0118  0.0816  0.4943  0.1813  0.30
Kushner 1989   22  0.3722  0.0020  0.0817  0.4866  0.0527  0.15
Luisada 1991   48  0.2976  0.0068  0.0564  0.0572  0.0552  0.05
Lushtak 2004   51  0.2850  0.0050  0.0847  0.0876  0.0448  0.06
Malcuzynski 1961   14  0.3913  0.018  0.157  0.6142  0.1612  0.31
Magaloff 1978   7  0.437  0.024  0.185  0.6417  0.446  0.53
Magin 1975   11  0.4026  0.0011  0.109  0.6136  0.308  0.43
Michalowski 1933   30  0.3417  0.0127  0.0926  0.3723  0.409  0.38
Milkina 1970   79  0.1931  0.0078  0.0473  0.0483  0.0375  0.03
Mohovich 1999   33  0.3366  0.0043  0.0641  0.1568  0.0441  0.08
Moravec 1969   64  0.2573  0.0067  0.0471  0.0471  0.0458  0.04
Morozova 2008   43  0.3138  0.0044  0.0544  0.1263  0.0444  0.07
Neighaus 1950   23  0.3647  0.0025  0.1424  0.4341  0.1915  0.29
Niedzielski 1931   49  0.2871  0.0045  0.0645  0.1154  0.0543  0.07
Ohlsson 1999   21  0.3715  0.0116  0.1022  0.4567  0.0431  0.13
Osinska 1989   10  0.4116  0.0117  0.0825  0.3971  0.0434  0.12
Pachmann 1927   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Paderewski 1930   12  0.4014  0.0112  0.1014  0.5310  0.604  0.56
Perlemuter 1992   16  0.3832  0.0029  0.0728  0.3640  0.1819  0.25
Pierdomenico 2008   5  0.456  0.029  0.1510  0.608  0.583  0.59
Poblocka 1999   53  0.2864  0.0061  0.0752  0.0778  0.0353  0.05
Rabcewiczowa 1932   52  0.2834  0.0058  0.0560  0.0571  0.0463  0.04
Rachmaninoff 1923   80  0.1881  0.0079  0.0474  0.0482  0.0374  0.03
Rangell 2001   38  0.3257  0.0039  0.0638  0.1758  0.0539  0.09
Richter 1976   2  0.502  0.223  0.431  0.8115  0.641  0.72
Rosen 1989   6  0.455  0.0210  0.206  0.6230  0.2210  0.37
Rosenthal 1930   82  0.1777  0.0084  0.0384  0.0382  0.0380  0.03
Rosenthal 1931   85  0.1367  0.0085  0.0386  0.0385  0.0286  0.02
Rosenthal 1931b   87  0.1085  0.0087  0.0387  0.0385  0.0384  0.03
Rosenthal 1931c   73  0.2268  0.0070  0.0476  0.0488  0.0285  0.03
Rosenthal 1931d   88  0.0991  0.0088  0.0385  0.0389  0.0289  0.02
Rossi 2007   42  0.3118  0.0133  0.0739  0.1719  0.4117  0.26
Rubinstein 1939   62  0.2511  0.0153  0.0654  0.0675  0.0362  0.04
Rubinstein 1952   47  0.2958  0.0049  0.0656  0.0685  0.0373  0.04
Rubinstein 1966   61  0.2678  0.0066  0.0469  0.0472  0.0377  0.03
Schilhawsky 1960   40  0.3170  0.0046  0.0658  0.0659  0.0554  0.05
Shebanova 2002   9  0.418  0.016  0.1412  0.5550  0.0722  0.20
Smith 1975   70  0.2362  0.0081  0.0562  0.0574  0.0461  0.04
Sokolov 2002   46  0.3045  0.0037  0.0643  0.1462  0.0442  0.07
Sztompka 1959   34  0.3383  0.0048  0.0559  0.0569  0.0465  0.04
Tomsic 1995   45  0.3029  0.0040  0.0636  0.1959  0.0538  0.10
Uninsky 1932   29  0.3544  0.0015  0.0820  0.4735  0.1914  0.30
Uninsky 1971   69  0.2352  0.0069  0.0470  0.0480  0.0376  0.03
Wasowski 1980   31  0.3463  0.0032  0.0830  0.3580  0.0433  0.12
Zak 1937   15  0.3921  0.0014  0.1013  0.5337  0.1811  0.31
Zak 1951   20  0.3820  0.0019  0.0918  0.4743  0.1220  0.24
Average   1  0.523  0.122  0.322  0.8171  0.0423  0.18
Random 1   89  -0.0354  0.0089  0.0190  0.0148  0.0588  0.02
Random 2   91  -0.0788  0.0091  0.0191  0.0187  0.0291  0.01
Random 3   90  -0.0455  0.0090  0.0289  0.0227  0.2446  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).