Pachmann 1927

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   32  0.4337  0.0032  0.0733  0.2466  0.0438  0.10
Anderszewski 2003   83  0.1275  0.0074  0.0465  0.0489  0.0276  0.03
Ashkenazy 1981   52  0.3261  0.0060  0.0649  0.0680  0.0366  0.04
Bacha 2000   33  0.4152  0.0055  0.0647  0.0641  0.1635  0.10
Badura 1965   65  0.2838  0.0049  0.0553  0.0578  0.0365  0.04
Barbosa 1983   14  0.5220  0.018  0.136  0.6212  0.513  0.56
Biret 1990   47  0.3663  0.0057  0.0559  0.0551  0.0549  0.05
Blet 2003   27  0.4577  0.0035  0.0731  0.2567  0.0534  0.11
Block 1995   35  0.4025  0.0038  0.0638  0.1652  0.0441  0.08
Blumental 1952   88  0.0685  0.0089  0.0288  0.0290  0.0189  0.01
Boshniakovich 1969   21  0.4810  0.039  0.1312  0.5420  0.496  0.51
Brailowsky 1960   23  0.4845  0.0025  0.0624  0.3626  0.3215  0.34
Bunin 1987   12  0.535  0.047  0.219  0.6015  0.437  0.51
Bunin 1987b   11  0.533  0.076  0.178  0.6115  0.435  0.51
Chiu 1999   3  0.571  0.291  0.282  0.704  0.661  0.68
Cohen 1997   43  0.3846  0.0037  0.0636  0.1916  0.4020  0.28
Cortot 1951   79  0.1670  0.0087  0.0286  0.0289  0.0191  0.01
Csalog 1996   17  0.5215  0.0116  0.1117  0.5018  0.4610  0.48
Czerny 1949   78  0.1890  0.0083  0.0287  0.0273  0.0386  0.02
Czerny 1990   56  0.3178  0.0064  0.0374  0.0383  0.0380  0.03
Duchoud 2007   59  0.3047  0.0072  0.0560  0.0581  0.0364  0.04
Ezaki 2006   38  0.3976  0.0052  0.0558  0.0577  0.0351  0.04
Falvay 1989   18  0.5140  0.0022  0.0921  0.4547  0.0627  0.16
Farrell 1958   40  0.3964  0.0050  0.0554  0.0535  0.2136  0.10
Ferenczy 1958   75  0.2280  0.0086  0.0377  0.0371  0.0377  0.03
Fliere 1977   4  0.579  0.043  0.213  0.6820  0.454  0.55
Fou 1978   1  0.612  0.132  0.201  0.7212  0.492  0.59
Francois 1956   37  0.4048  0.0053  0.0648  0.0681  0.0368  0.04
Friedman 1923   85  0.1130  0.0082  0.0281  0.0263  0.0584  0.03
Friedman 1923b   82  0.1335  0.0080  0.0378  0.0352  0.0667  0.04
Friedman 1930   80  0.1624  0.0066  0.0468  0.0448  0.0562  0.04
Garcia 2007   77  0.2049  0.0078  0.0380  0.0366  0.0379  0.03
Garcia 2007b   86  0.1054  0.0077  0.0284  0.0251  0.0583  0.03
Gierzod 1998   57  0.3186  0.0065  0.0370  0.0371  0.0378  0.03
Gornostaeva 1994   45  0.3781  0.0045  0.0545  0.1072  0.0348  0.05
Groot 1988   2  0.594  0.054  0.197  0.6123  0.3612  0.47
Harasiewicz 1955   41  0.3831  0.0023  0.0726  0.3446  0.0532  0.13
Hatto 1993   71  0.2482  0.0044  0.0544  0.1056  0.0447  0.06
Hatto 1997   68  0.2526  0.0024  0.0837  0.1879  0.0345  0.07
Horowitz 1949   31  0.4341  0.0034  0.0829  0.2740  0.1029  0.16
Indjic 1988   67  0.2665  0.0040  0.0639  0.1550  0.0539  0.09
Kapell 1951   49  0.3417  0.0158  0.0551  0.0577  0.0356  0.04
Kissin 1993   24  0.4827  0.0021  0.0920  0.4548  0.0630  0.16
Kushner 1989   55  0.3232  0.0070  0.0469  0.0483  0.0374  0.03
Luisada 1991   51  0.3371  0.0059  0.0464  0.0481  0.0369  0.03
Lushtak 2004   20  0.4912  0.0211  0.1118  0.4734  0.2316  0.33
Malcuzynski 1961   22  0.4862  0.0027  0.0927  0.3455  0.0433  0.12
Magaloff 1978   13  0.526  0.045  0.155  0.6519  0.3213  0.46
Magin 1975   74  0.2255  0.0073  0.0556  0.0571  0.0355  0.04
Michalowski 1933   84  0.1256  0.0081  0.0379  0.0378  0.0475  0.03
Milkina 1970   34  0.4066  0.0043  0.0642  0.1257  0.0444  0.07
Mohovich 1999   9  0.5467  0.0018  0.1115  0.5136  0.2017  0.32
Moravec 1969   70  0.2487  0.0084  0.0283  0.0283  0.0385  0.02
Morozova 2008   58  0.3050  0.0051  0.0550  0.0582  0.0361  0.04
Neighaus 1950   15  0.5216  0.0112  0.1314  0.5348  0.0725  0.19
Niedzielski 1931   60  0.2923  0.0154  0.0552  0.0563  0.0454  0.04
Ohlsson 1999   30  0.4318  0.0128  0.0930  0.2566  0.0437  0.10
Osinska 1989   42  0.3853  0.0046  0.0461  0.0462  0.0552  0.04
Pachmann 1927   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Paderewski 1930   36  0.4019  0.0129  0.0632  0.2524  0.2521  0.25
Perlemuter 1992   28  0.4536  0.0030  0.0728  0.3248  0.0631  0.14
Pierdomenico 2008   44  0.3722  0.0139  0.0541  0.1333  0.1928  0.16
Poblocka 1999   39  0.3968  0.0048  0.0557  0.0588  0.0353  0.04
Rabcewiczowa 1932   72  0.2483  0.0075  0.0467  0.0476  0.0373  0.03
Rachmaninoff 1923   63  0.2888  0.0069  0.0371  0.0367  0.0472  0.03
Rangell 2001   29  0.4384  0.0026  0.0823  0.3728  0.2618  0.31
Richter 1976   19  0.5011  0.0317  0.1019  0.4720  0.3414  0.40
Rosen 1989   25  0.4628  0.0036  0.0934  0.2274  0.0342  0.08
Rosenthal 1930   81  0.1589  0.0085  0.0285  0.0282  0.0288  0.02
Rosenthal 1931   76  0.2257  0.0067  0.0373  0.0348  0.0559  0.04
Rosenthal 1931b   73  0.2391  0.0062  0.0372  0.0358  0.0481  0.03
Rosenthal 1931c   69  0.2539  0.0071  0.0466  0.0469  0.0382  0.03
Rosenthal 1931d   66  0.2779  0.0061  0.0555  0.0547  0.0550  0.05
Rossi 2007   87  0.0972  0.0079  0.0282  0.0252  0.0471  0.03
Rubinstein 1939   61  0.2814  0.0142  0.0543  0.1217  0.4124  0.22
Rubinstein 1952   6  0.5621  0.0115  0.1910  0.5818  0.448  0.51
Rubinstein 1966   26  0.4658  0.0031  0.0725  0.3439  0.1922  0.25
Schilhawsky 1960   48  0.3651  0.0047  0.0463  0.0454  0.0560  0.04
Shebanova 2002   16  0.5233  0.0020  0.0822  0.4444  0.1223  0.23
Smith 1975   46  0.3742  0.0041  0.0640  0.1579  0.0343  0.07
Sokolov 2002   54  0.3259  0.0068  0.0375  0.0378  0.0370  0.03
Sztompka 1959   62  0.2860  0.0076  0.0462  0.0475  0.0457  0.04
Tomsic 1995   10  0.5313  0.0219  0.1016  0.5135  0.1819  0.30
Uninsky 1932   64  0.2829  0.0063  0.0376  0.0357  0.0563  0.04
Uninsky 1971   50  0.3444  0.0056  0.0646  0.0669  0.0358  0.04
Wasowski 1980   53  0.3234  0.0033  0.0835  0.2176  0.0340  0.08
Zak 1937   7  0.557  0.0414  0.1711  0.5516  0.429  0.48
Zak 1951   8  0.558  0.0413  0.1213  0.5418  0.4111  0.47
Average   5  0.5643  0.0010  0.134  0.6550  0.0526  0.18
Random 1   89  -0.0269  0.0088  0.0289  0.0230  0.2146  0.06
Random 2   91  -0.1073  0.0090  0.0290  0.0284  0.0287  0.02
Random 3   90  -0.0674  0.0091  0.0191  0.0190  0.0190  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).