Pachmann 1927

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   27  0.5021  0.0125  0.0727  0.2859  0.0434  0.11
Anderszewski 2003   79  0.1486  0.0070  0.0376  0.0386  0.0279  0.02
Ashkenazy 1981   62  0.3261  0.0066  0.0370  0.0375  0.0370  0.03
Bacha 2000   25  0.5113  0.0247  0.0547  0.0536  0.1442  0.08
Badura 1965   68  0.2952  0.0056  0.0551  0.0578  0.0355  0.04
Barbosa 1983   10  0.627  0.035  0.172  0.619  0.444  0.52
Biret 1990   36  0.4439  0.0050  0.0463  0.0483  0.0272  0.03
Blet 2003   20  0.5462  0.0034  0.0626  0.2853  0.0432  0.11
Block 1995   48  0.3840  0.0055  0.0460  0.0468  0.0369  0.03
Blumental 1952   81  0.0383  0.0087  0.0288  0.0289  0.0188  0.01
Boshniakovich 1969   30  0.4810  0.0314  0.0915  0.4826  0.2413  0.34
Brailowsky 1960   11  0.5931  0.0018  0.0818  0.4530  0.2512  0.34
Bunin 1987   15  0.578  0.0317  0.1312  0.5126  0.3110  0.40
Bunin 1987b   14  0.586  0.0416  0.1011  0.5126  0.318  0.40
Chiu 1999   5  0.653  0.083  0.254  0.594  0.571  0.58
Cohen 1997   40  0.4344  0.0033  0.0833  0.2212  0.4219  0.30
Cortot 1951   80  0.1266  0.0086  0.0286  0.0288  0.0190  0.01
Csalog 1996   19  0.5612  0.0222  0.1021  0.3918  0.447  0.41
Czerny 1949   70  0.2569  0.0076  0.0461  0.0487  0.0266  0.03
Czerny 1990   54  0.3548  0.0060  0.0554  0.0585  0.0271  0.03
Duchoud 2007   63  0.3141  0.0071  0.0373  0.0386  0.0282  0.02
Ezaki 2006   33  0.4787  0.0046  0.0549  0.0552  0.0546  0.05
Falvay 1989   3  0.6622  0.017  0.168  0.5228  0.2114  0.33
Farrell 1958   28  0.4935  0.0044  0.0543  0.1037  0.1231  0.11
Ferenczy 1958   61  0.3282  0.0077  0.0380  0.0387  0.0280  0.02
Fliere 1977   12  0.595  0.054  0.166  0.5735  0.1715  0.31
Fou 1978   1  0.721  0.201  0.201  0.669  0.492  0.57
Francois 1956   35  0.4770  0.0039  0.0641  0.1378  0.0345  0.06
Friedman 1923   88  -0.1271  0.0089  0.0289  0.0285  0.0287  0.02
Friedman 1923b   87  -0.1056  0.0088  0.0287  0.0285  0.0385  0.02
Friedman 1930   84  0.0123  0.0174  0.0379  0.0374  0.0465  0.03
Garcia 2007   78  0.1753  0.0084  0.0372  0.0381  0.0283  0.02
Garcia 2007b   82  0.0284  0.0073  0.0384  0.0381  0.0286  0.02
Gierzod 1998   55  0.3590  0.0067  0.0557  0.0585  0.0268  0.03
Gornostaeva 1994   37  0.4472  0.0041  0.0638  0.1478  0.0343  0.06
Groot 1988   2  0.682  0.172  0.193  0.6017  0.385  0.48
Harasiewicz 1955   45  0.3950  0.0028  0.0624  0.3260  0.0436  0.11
Hatto 1993   75  0.2259  0.0043  0.0542  0.1173  0.0344  0.06
Hatto 1997   66  0.3016  0.0120  0.0936  0.1944  0.0730  0.12
Horowitz 1949   31  0.4837  0.0036  0.0631  0.2459  0.0439  0.10
Indjic 1988   69  0.2646  0.0030  0.0639  0.1486  0.0247  0.05
Kapell 1951   52  0.3717  0.0161  0.0646  0.0679  0.0352  0.04
Kissin 1993   21  0.5325  0.0123  0.0923  0.3348  0.0628  0.14
Kushner 1989   57  0.3457  0.0064  0.0368  0.0386  0.0277  0.02
Luisada 1991   56  0.3460  0.0062  0.0556  0.0580  0.0348  0.04
Lushtak 2004   17  0.574  0.0715  0.0816  0.4731  0.1918  0.30
Malcuzynski 1961   24  0.5249  0.0037  0.0830  0.2459  0.0438  0.10
Magaloff 1978   23  0.5319  0.0112  0.0914  0.4937  0.1620  0.28
Magin 1975   77  0.2065  0.0068  0.0378  0.0384  0.0276  0.02
Michalowski 1933   86  -0.0354  0.0082  0.0377  0.0384  0.0278  0.02
Milkina 1970   18  0.5664  0.0021  0.0719  0.4241  0.1622  0.26
Mohovich 1999   6  0.6451  0.009  0.127  0.5428  0.1816  0.31
Moravec 1969   65  0.3085  0.0079  0.0381  0.0381  0.0273  0.02
Morozova 2008   64  0.3188  0.0057  0.0552  0.0585  0.0264  0.03
Neighaus 1950   16  0.5728  0.0019  0.1020  0.4256  0.0429  0.13
Niedzielski 1931   71  0.2524  0.0178  0.0382  0.0387  0.0275  0.02
Ohlsson 1999   42  0.4027  0.0054  0.0555  0.0567  0.0353  0.04
Osinska 1989   46  0.3978  0.0048  0.0458  0.0474  0.0358  0.03
Pachmann 1927   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Paderewski 1930   44  0.3930  0.0042  0.0544  0.1040  0.1040  0.10
Perlemuter 1992   29  0.4929  0.0027  0.0629  0.2661  0.0437  0.10
Pierdomenico 2008   50  0.3726  0.0049  0.0467  0.0458  0.0451  0.04
Poblocka 1999   39  0.4458  0.0053  0.0459  0.0450  0.0449  0.04
Rabcewiczowa 1932   72  0.2534  0.0072  0.0371  0.0379  0.0361  0.03
Rachmaninoff 1923   67  0.2979  0.0063  0.0465  0.0478  0.0360  0.03
Rangell 2001   32  0.4873  0.0024  0.0822  0.3526  0.2221  0.28
Richter 1976   26  0.5120  0.0126  0.0725  0.3134  0.1227  0.19
Rosen 1989   34  0.4743  0.0052  0.0550  0.0561  0.0356  0.04
Rosenthal 1930   74  0.2289  0.0075  0.0369  0.0382  0.0284  0.02
Rosenthal 1931   51  0.3780  0.0032  0.0734  0.2233  0.2026  0.21
Rosenthal 1931b   47  0.3974  0.0031  0.0532  0.2329  0.2125  0.22
Rosenthal 1931c   59  0.3267  0.0059  0.0645  0.0677  0.0357  0.04
Rosenthal 1931d   38  0.4476  0.0029  0.0628  0.2726  0.2623  0.26
Rossi 2007   83  0.0275  0.0083  0.0285  0.0285  0.0274  0.02
Rubinstein 1939   53  0.369  0.0340  0.0640  0.1410  0.4624  0.25
Rubinstein 1952   4  0.6518  0.016  0.135  0.5812  0.513  0.54
Rubinstein 1966   13  0.5838  0.0013  0.1017  0.4617  0.446  0.45
Schilhawsky 1960   43  0.4036  0.0051  0.0464  0.0477  0.0363  0.03
Shebanova 2002   22  0.5363  0.0035  0.0735  0.2252  0.0633  0.11
Smith 1975   41  0.4245  0.0045  0.0553  0.0575  0.0350  0.04
Sokolov 2002   58  0.3481  0.0065  0.0462  0.0473  0.0359  0.03
Sztompka 1959   73  0.2477  0.0081  0.0466  0.0482  0.0262  0.03
Tomsic 1995   7  0.6415  0.0111  0.109  0.5233  0.1717  0.30
Uninsky 1932   76  0.2133  0.0080  0.0375  0.0384  0.0281  0.02
Uninsky 1971   49  0.3847  0.0058  0.0548  0.0567  0.0454  0.04
Wasowski 1980   60  0.3232  0.0038  0.0737  0.1547  0.0541  0.09
Zak 1937   8  0.6311  0.0210  0.1713  0.4926  0.2711  0.36
Zak 1951   9  0.6314  0.028  0.1210  0.5124  0.329  0.40
Random 1   85  0.0042  0.0069  0.0374  0.036  0.4335  0.11
Random 2   89  -0.1368  0.0085  0.0383  0.0346  0.0467  0.03
Random 3   90  -0.1455  0.0090  0.0190  0.0190  0.0189  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).