Pachmann 1927

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   61  0.2445  0.0067  0.0752  0.0781  0.0367  0.05
Anderszewski 2003   82  0.1074  0.0072  0.0477  0.0463  0.0471  0.04
Ashkenazy 1981   25  0.4142  0.0020  0.1018  0.6241  0.2232  0.37
Bacha 2000   60  0.2433  0.0052  0.0657  0.0643  0.1346  0.09
Badura 1965   49  0.3165  0.0039  0.0841  0.2415  0.5235  0.35
Barbosa 1983   58  0.2619  0.0149  0.0663  0.0667  0.0566  0.05
Biret 1990   77  0.1656  0.0076  0.0659  0.0661  0.0469  0.05
Blet 2003   42  0.3346  0.0046  0.0946  0.0961  0.0653  0.07
Block 1995   8  0.5512  0.019  0.239  0.808  0.717  0.75
Blumental 1952   75  0.1663  0.0073  0.0566  0.0577  0.0373  0.04
Boshniakovich 1969   9  0.536  0.048  0.258  0.838  0.688  0.75
Brailowsky 1960   47  0.3128  0.0050  0.0660  0.0636  0.3443  0.14
Bunin 1987   37  0.3520  0.0128  0.0829  0.4723  0.4428  0.45
Bunin 1987b   38  0.3539  0.0029  0.1331  0.4623  0.4229  0.44
Chiu 1999   16  0.4623  0.0014  0.1611  0.7222  0.5514  0.63
Cohen 1997   46  0.3153  0.0059  0.0665  0.0652  0.0657  0.06
Cortot 1951   41  0.3440  0.0051  0.0662  0.0634  0.3444  0.14
Csalog 1996   21  0.4549  0.0024  0.1221  0.5412  0.5817  0.56
Czerny 1949   89  -0.0266  0.0090  0.0287  0.0284  0.0287  0.02
Czerny 1990   71  0.1941  0.0066  0.0658  0.0660  0.0658  0.06
Duchoud 2007   55  0.2878  0.0057  0.0750  0.0754  0.0656  0.06
Ezaki 2006   67  0.2157  0.0070  0.0656  0.0658  0.0562  0.05
Falvay 1989   74  0.1735  0.0063  0.0569  0.0569  0.0370  0.04
Farrell 1958   73  0.1884  0.0069  0.0847  0.0847  0.0752  0.07
Ferenczy 1958   87  0.0186  0.0087  0.0189  0.0181  0.0386  0.02
Fliere 1977   2  0.612  0.173  0.212  0.8511  0.783  0.81
Fou 1978   51  0.305  0.0425  0.0839  0.2938  0.2337  0.26
Francois 1956   78  0.1588  0.0082  0.0385  0.0382  0.0290  0.02
Friedman 1923   3  0.6111  0.012  0.394  0.846  0.785  0.81
Friedman 1923b   1  0.611  0.441  0.433  0.855  0.802  0.82
Friedman 1930   13  0.4929  0.0013  0.1613  0.7015  0.6312  0.66
Garcia 2007   34  0.3675  0.0031  0.1025  0.5129  0.3927  0.45
Garcia 2007b   66  0.2326  0.0055  0.0567  0.0550  0.0761  0.06
Gierzod 1998   63  0.2334  0.0056  0.0570  0.0543  0.1548  0.09
Gornostaeva 1994   70  0.1969  0.0078  0.0478  0.0476  0.0383  0.03
Groot 1988   23  0.4224  0.0035  0.0932  0.4652  0.0741  0.18
Harasiewicz 1955   22  0.4470  0.0033  0.0927  0.4842  0.1438  0.26
Hatto 1993   40  0.3479  0.0040  0.0938  0.2948  0.1240  0.19
Hatto 1997   79  0.1176  0.0077  0.0475  0.0480  0.0380  0.03
Horowitz 1949   33  0.3747  0.0037  0.0936  0.3634  0.3733  0.36
Indjic 1988   53  0.2885  0.0048  0.0753  0.0747  0.1051  0.08
Kapell 1951   52  0.2871  0.0058  0.0754  0.0755  0.0655  0.06
Kissin 1993   35  0.3622  0.0034  0.0833  0.4532  0.4626  0.45
Kushner 1989   39  0.3416  0.0143  0.0842  0.1949  0.0745  0.12
Luisada 1991   36  0.3658  0.0047  0.0749  0.0758  0.0654  0.06
Lushtak 2004   57  0.2677  0.0062  0.0573  0.0565  0.0568  0.05
Malcuzynski 1961   24  0.4259  0.0021  0.1019  0.6121  0.4818  0.54
Magaloff 1978   6  0.593  0.065  0.211  0.853  0.791  0.82
Magin 1975   31  0.3960  0.0036  0.0935  0.4225  0.5124  0.46
Michalowski 1933   20  0.4530  0.0022  0.0928  0.4824  0.4325  0.45
Milkina 1970   86  0.0125  0.0086  0.0381  0.0387  0.0285  0.02
Mohovich 1999   32  0.3750  0.0041  0.1040  0.2537  0.2339  0.24
Moravec 1969   72  0.1980  0.0071  0.0476  0.0484  0.0375  0.03
Morozova 2008   44  0.3264  0.0044  0.0843  0.1566  0.0547  0.09
Neighaus 1950   27  0.4161  0.0026  0.0820  0.5542  0.1536  0.29
Niedzielski 1931   18  0.4521  0.0016  0.1717  0.6414  0.5715  0.60
Ohlsson 1999   11  0.509  0.0210  0.2010  0.7311  0.6111  0.67
Osinska 1989   19  0.4518  0.0130  0.0830  0.4720  0.5521  0.51
Pachmann 1927   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Paderewski 1930   15  0.4617  0.0117  0.1414  0.7012  0.6510  0.67
Perlemuter 1992   17  0.4672  0.0027  0.0823  0.5327  0.5419  0.53
Pierdomenico 2008   14  0.4813  0.0115  0.1912  0.723  0.729  0.72
Poblocka 1999   45  0.3162  0.0045  0.0645  0.1264  0.0549  0.08
Rabcewiczowa 1932   76  0.1651  0.0080  0.0380  0.0379  0.0377  0.03
Rachmaninoff 1923   59  0.2687  0.0064  0.0568  0.0554  0.0563  0.05
Rangell 2001   50  0.3067  0.0053  0.0751  0.0764  0.0559  0.06
Richter 1976   4  0.604  0.046  0.246  0.839  0.804  0.81
Rosen 1989   10  0.5210  0.0112  0.1715  0.6913  0.6213  0.65
Rosenthal 1930   81  0.1181  0.0084  0.0384  0.0384  0.0381  0.03
Rosenthal 1931   83  0.0543  0.0081  0.0386  0.0369  0.0379  0.03
Rosenthal 1931b   84  0.0589  0.0083  0.0383  0.0383  0.0289  0.02
Rosenthal 1931c   69  0.2152  0.0068  0.0748  0.0756  0.0560  0.06
Rosenthal 1931d   85  0.0290  0.0085  0.0382  0.0381  0.0384  0.03
Rossi 2007   54  0.2855  0.0054  0.0664  0.0612  0.5042  0.17
Rubinstein 1939   80  0.1148  0.0079  0.0479  0.0481  0.0376  0.03
Rubinstein 1952   56  0.2773  0.0061  0.0571  0.0566  0.0474  0.04
Rubinstein 1966   68  0.2168  0.0074  0.0574  0.0581  0.0372  0.04
Schilhawsky 1960   43  0.3344  0.0038  0.1137  0.3122  0.4431  0.37
Shebanova 2002   7  0.578  0.024  0.217  0.8312  0.746  0.78
Smith 1975   64  0.2327  0.0075  0.0661  0.0658  0.0564  0.05
Sokolov 2002   48  0.3131  0.0042  0.0744  0.1549  0.0450  0.08
Sztompka 1959   26  0.4132  0.0032  0.1022  0.5341  0.2334  0.35
Tomsic 1995   62  0.2391  0.0065  0.0755  0.0774  0.0365  0.05
Uninsky 1932   12  0.4914  0.0111  0.2616  0.6817  0.5116  0.59
Uninsky 1971   65  0.2338  0.0060  0.0572  0.0585  0.0278  0.03
Wasowski 1980   29  0.4037  0.0019  0.1026  0.5034  0.4223  0.46
Zak 1937   28  0.4015  0.0118  0.1024  0.5215  0.5320  0.52
Zak 1951   30  0.3936  0.0023  0.0934  0.4416  0.5222  0.48
Average   5  0.607  0.037  0.375  0.8435  0.2030  0.41
Random 1   90  -0.0654  0.0089  0.0190  0.0177  0.0388  0.02
Random 2   91  -0.1082  0.0091  0.0191  0.0184  0.0291  0.01
Random 3   88  0.0083  0.0088  0.0188  0.0141  0.1282  0.03

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).