Pachmann 1927

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   28  0.5021  0.0126  0.0728  0.2860  0.0435  0.11
Anderszewski 2003   80  0.1487  0.0071  0.0377  0.0387  0.0280  0.02
Ashkenazy 1981   63  0.3262  0.0067  0.0371  0.0376  0.0371  0.03
Bacha 2000   26  0.5113  0.0248  0.0548  0.0537  0.1443  0.08
Badura 1965   69  0.2952  0.0057  0.0552  0.0579  0.0356  0.04
Barbosa 1983   10  0.627  0.035  0.172  0.6110  0.444  0.52
Biret 1990   37  0.4439  0.0051  0.0464  0.0484  0.0273  0.03
Blet 2003   21  0.5463  0.0035  0.0627  0.2854  0.0433  0.11
Block 1995   49  0.3840  0.0056  0.0461  0.0469  0.0370  0.03
Blumental 1952   82  0.0384  0.0088  0.0289  0.0290  0.0189  0.01
Boshniakovich 1969   31  0.4810  0.0314  0.0915  0.4827  0.2413  0.34
Brailowsky 1960   11  0.5931  0.0019  0.0718  0.4531  0.2512  0.34
Bunin 1987   15  0.578  0.0317  0.1312  0.5127  0.3110  0.40
Bunin 1987b   14  0.586  0.0416  0.0911  0.5127  0.318  0.40
Chiu 1999   5  0.653  0.083  0.254  0.594  0.571  0.58
Cohen 1997   41  0.4345  0.0034  0.0834  0.2212  0.4219  0.30
Cortot 1951   81  0.1267  0.0087  0.0287  0.0289  0.0191  0.01
Csalog 1996   20  0.5612  0.0223  0.1022  0.3918  0.447  0.41
Czerny 1949   71  0.2570  0.0077  0.0462  0.0488  0.0267  0.03
Czerny 1990   55  0.3548  0.0061  0.0555  0.0586  0.0272  0.03
Duchoud 2007   64  0.3141  0.0072  0.0374  0.0387  0.0283  0.02
Ezaki 2006   34  0.4788  0.0047  0.0550  0.0553  0.0547  0.05
Falvay 1989   3  0.6622  0.017  0.168  0.5229  0.2114  0.33
Farrell 1958   29  0.4935  0.0045  0.0544  0.1038  0.1232  0.11
Ferenczy 1958   62  0.3283  0.0078  0.0381  0.0388  0.0281  0.02
Fliere 1977   12  0.595  0.054  0.166  0.5736  0.1715  0.31
Fou 1978   1  0.721  0.201  0.201  0.669  0.492  0.57
Francois 1956   36  0.4771  0.0040  0.0642  0.1379  0.0346  0.06
Friedman 1923   89  -0.1272  0.0090  0.0290  0.0286  0.0288  0.02
Friedman 1923b   88  -0.1056  0.0089  0.0288  0.0286  0.0386  0.02
Friedman 1930   85  0.0123  0.0175  0.0380  0.0375  0.0466  0.03
Garcia 2007   79  0.1753  0.0085  0.0373  0.0382  0.0284  0.02
Garcia 2007b   83  0.0285  0.0074  0.0385  0.0382  0.0287  0.02
Gierzod 1998   56  0.3591  0.0068  0.0458  0.0486  0.0269  0.03
Gornostaeva 1994   38  0.4473  0.0042  0.0639  0.1479  0.0344  0.06
Groot 1988   2  0.682  0.172  0.193  0.6018  0.385  0.48
Harasiewicz 1955   46  0.3950  0.0029  0.0625  0.3261  0.0437  0.11
Hatto 1993   76  0.2259  0.0044  0.0543  0.1174  0.0345  0.06
Hatto 1997   67  0.3016  0.0118  0.0837  0.1945  0.0731  0.12
Horowitz 1949   32  0.4837  0.0037  0.0632  0.2460  0.0440  0.10
Indjic 1988   70  0.2646  0.0031  0.0640  0.1487  0.0248  0.05
Kapell 1951   53  0.3717  0.0162  0.0547  0.0580  0.0353  0.04
Kissin 1993   22  0.5325  0.0124  0.0924  0.3349  0.0628  0.14
Kushner 1989   58  0.3457  0.0065  0.0369  0.0387  0.0278  0.02
Luisada 1991   57  0.3460  0.0063  0.0557  0.0581  0.0349  0.04
Lushtak 2004   17  0.574  0.0715  0.0816  0.4732  0.1918  0.30
Malcuzynski 1961   25  0.5249  0.0038  0.0831  0.2460  0.0439  0.10
Magaloff 1978   24  0.5319  0.0112  0.0814  0.4938  0.1620  0.28
Magin 1975   78  0.2066  0.0069  0.0379  0.0385  0.0277  0.02
Michalowski 1933   87  -0.0354  0.0083  0.0378  0.0385  0.0279  0.02
Milkina 1970   19  0.5665  0.0022  0.0719  0.4242  0.1622  0.26
Mohovich 1999   6  0.6451  0.009  0.127  0.5429  0.1816  0.31
Moravec 1969   66  0.3086  0.0080  0.0382  0.0382  0.0274  0.02
Morozova 2008   65  0.3189  0.0058  0.0553  0.0586  0.0265  0.03
Neighaus 1950   16  0.5728  0.0020  0.0820  0.4257  0.0430  0.13
Niedzielski 1931   72  0.2524  0.0179  0.0383  0.0388  0.0276  0.02
Ohlsson 1999   43  0.4027  0.0055  0.0556  0.0568  0.0354  0.04
Osinska 1989   47  0.3979  0.0049  0.0459  0.0475  0.0359  0.03
Pachmann 1927   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Paderewski 1930   45  0.3930  0.0043  0.0545  0.1041  0.1041  0.10
Perlemuter 1992   30  0.4929  0.0028  0.0630  0.2662  0.0438  0.10
Pierdomenico 2008   51  0.3726  0.0050  0.0468  0.0459  0.0452  0.04
Poblocka 1999   40  0.4458  0.0054  0.0460  0.0451  0.0450  0.04
Rabcewiczowa 1932   73  0.2534  0.0073  0.0372  0.0380  0.0362  0.03
Rachmaninoff 1923   68  0.2980  0.0064  0.0466  0.0479  0.0361  0.03
Rangell 2001   33  0.4874  0.0025  0.0823  0.3527  0.2221  0.28
Richter 1976   27  0.5120  0.0127  0.0726  0.3135  0.1227  0.19
Rosen 1989   35  0.4743  0.0053  0.0551  0.0562  0.0357  0.04
Rosenthal 1930   75  0.2290  0.0076  0.0370  0.0383  0.0285  0.02
Rosenthal 1931   52  0.3781  0.0033  0.0735  0.2234  0.2026  0.21
Rosenthal 1931b   48  0.3975  0.0032  0.0533  0.2330  0.2125  0.22
Rosenthal 1931c   60  0.3268  0.0060  0.0646  0.0678  0.0358  0.04
Rosenthal 1931d   39  0.4477  0.0030  0.0529  0.2727  0.2623  0.26
Rossi 2007   84  0.0276  0.0084  0.0286  0.0286  0.0275  0.02
Rubinstein 1939   54  0.369  0.0341  0.0641  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  0.4618  0.446  0.45
Schilhawsky 1960   44  0.4036  0.0052  0.0465  0.0478  0.0364  0.03
Shebanova 2002   23  0.5364  0.0036  0.0736  0.2253  0.0634  0.11
Smith 1975   42  0.4244  0.0046  0.0554  0.0576  0.0351  0.04
Sokolov 2002   59  0.3482  0.0066  0.0463  0.0474  0.0360  0.03
Sztompka 1959   74  0.2478  0.0082  0.0467  0.0483  0.0263  0.03
Tomsic 1995   7  0.6415  0.0111  0.109  0.5234  0.1717  0.30
Uninsky 1932   77  0.2133  0.0081  0.0376  0.0385  0.0282  0.02
Uninsky 1971   50  0.3847  0.0059  0.0549  0.0568  0.0455  0.04
Wasowski 1980   61  0.3232  0.0039  0.0738  0.1548  0.0542  0.09
Zak 1937   8  0.6311  0.0210  0.1713  0.4927  0.2711  0.36
Zak 1951   9  0.6314  0.028  0.1210  0.5125  0.329  0.40
Average   18  0.5661  0.0021  0.0721  0.4153  0.0429  0.13
Random 1   86  0.0042  0.0070  0.0375  0.036  0.4336  0.11
Random 2   90  -0.1369  0.0086  0.0384  0.0347  0.0468  0.03
Random 3   91  -0.1455  0.0091  0.0191  0.0191  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).