Pachmann 1927

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   31  0.4337  0.0031  0.0732  0.2465  0.0437  0.10
Anderszewski 2003   82  0.1274  0.0073  0.0464  0.0488  0.0275  0.03
Ashkenazy 1981   51  0.3261  0.0059  0.0648  0.0679  0.0365  0.04
Bacha 2000   32  0.4151  0.0054  0.0646  0.0640  0.1634  0.10
Badura 1965   64  0.2839  0.0048  0.0552  0.0577  0.0364  0.04
Barbosa 1983   13  0.5220  0.018  0.185  0.6211  0.513  0.56
Biret 1990   46  0.3663  0.0056  0.0558  0.0550  0.0549  0.05
Blet 2003   26  0.4576  0.0034  0.0730  0.2566  0.0533  0.11
Block 1995   34  0.4025  0.0037  0.0637  0.1651  0.0441  0.08
Blumental 1952   87  0.0684  0.0088  0.0287  0.0289  0.0188  0.01
Boshniakovich 1969   20  0.4810  0.039  0.1311  0.5419  0.496  0.51
Brailowsky 1960   22  0.4845  0.0024  0.0623  0.3625  0.3215  0.34
Bunin 1987   11  0.535  0.047  0.228  0.6014  0.437  0.51
Bunin 1987b   10  0.533  0.076  0.187  0.6114  0.435  0.51
Chiu 1999   3  0.571  0.291  0.282  0.703  0.661  0.68
Cohen 1997   42  0.3844  0.0036  0.0735  0.1915  0.4020  0.28
Cortot 1951   78  0.1669  0.0086  0.0285  0.0288  0.0190  0.01
Csalog 1996   16  0.5216  0.0115  0.1116  0.5018  0.4610  0.48
Czerny 1949   77  0.1889  0.0082  0.0286  0.0272  0.0385  0.02
Czerny 1990   55  0.3177  0.0063  0.0373  0.0382  0.0379  0.03
Duchoud 2007   58  0.3046  0.0071  0.0559  0.0580  0.0363  0.04
Ezaki 2006   37  0.3975  0.0051  0.0557  0.0576  0.0351  0.04
Falvay 1989   17  0.5140  0.0021  0.0920  0.4546  0.0626  0.16
Farrell 1958   39  0.3964  0.0049  0.0553  0.0534  0.2135  0.10
Ferenczy 1958   74  0.2279  0.0085  0.0376  0.0370  0.0376  0.03
Fliere 1977   4  0.579  0.043  0.213  0.6819  0.454  0.55
Fou 1978   1  0.612  0.132  0.201  0.7211  0.492  0.59
Francois 1956   36  0.4047  0.0052  0.0647  0.0680  0.0367  0.04
Friedman 1923   84  0.1130  0.0081  0.0280  0.0262  0.0583  0.03
Friedman 1923b   81  0.1334  0.0079  0.0377  0.0351  0.0666  0.04
Friedman 1930   79  0.1624  0.0065  0.0467  0.0447  0.0647  0.05
Garcia 2007   76  0.2048  0.0077  0.0379  0.0365  0.0378  0.03
Garcia 2007b   85  0.1054  0.0076  0.0283  0.0250  0.0582  0.03
Gierzod 1998   56  0.3185  0.0064  0.0369  0.0370  0.0377  0.03
Gornostaeva 1994   44  0.3780  0.0044  0.0544  0.1071  0.0348  0.05
Groot 1988   2  0.594  0.054  0.196  0.6122  0.3612  0.47
Harasiewicz 1955   40  0.3831  0.0022  0.0725  0.3445  0.0531  0.13
Hatto 1993   70  0.2481  0.0043  0.0543  0.1055  0.0545  0.07
Hatto 1997   67  0.2526  0.0023  0.0836  0.1878  0.0344  0.07
Horowitz 1949   30  0.4341  0.0033  0.0828  0.2739  0.1028  0.16
Indjic 1988   66  0.2662  0.0039  0.0638  0.1549  0.0538  0.09
Kapell 1951   48  0.3417  0.0157  0.0550  0.0576  0.0356  0.04
Kissin 1993   23  0.4827  0.0020  0.0919  0.4547  0.0629  0.16
Kushner 1989   54  0.3232  0.0069  0.0468  0.0482  0.0373  0.03
Luisada 1991   50  0.3370  0.0058  0.0463  0.0480  0.0368  0.03
Lushtak 2004   19  0.4912  0.0210  0.1217  0.4733  0.2316  0.33
Malcuzynski 1961   21  0.4860  0.0026  0.0926  0.3454  0.0432  0.12
Magaloff 1978   12  0.526  0.045  0.154  0.6518  0.3213  0.46
Magin 1975   73  0.2255  0.0072  0.0555  0.0570  0.0355  0.04
Michalowski 1933   83  0.1256  0.0080  0.0378  0.0377  0.0474  0.03
Milkina 1970   33  0.4065  0.0042  0.0641  0.1256  0.0540  0.08
Mohovich 1999   8  0.5466  0.0017  0.1114  0.5135  0.2017  0.32
Moravec 1969   69  0.2486  0.0083  0.0282  0.0282  0.0384  0.02
Morozova 2008   57  0.3049  0.0050  0.0549  0.0581  0.0361  0.04
Neighaus 1950   14  0.5215  0.0111  0.1313  0.5347  0.0725  0.19
Niedzielski 1931   59  0.2922  0.0153  0.0551  0.0562  0.0454  0.04
Ohlsson 1999   29  0.4318  0.0127  0.0929  0.2565  0.0436  0.10
Osinska 1989   41  0.3852  0.0045  0.0460  0.0461  0.0552  0.04
Pachmann 1927   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Paderewski 1930   35  0.4019  0.0128  0.0631  0.2523  0.2521  0.25
Perlemuter 1992   27  0.4536  0.0029  0.0727  0.3247  0.0630  0.14
Pierdomenico 2008   43  0.3723  0.0138  0.0540  0.1332  0.1927  0.16
Poblocka 1999   38  0.3967  0.0047  0.0556  0.0587  0.0353  0.04
Rabcewiczowa 1932   71  0.2482  0.0074  0.0466  0.0475  0.0372  0.03
Rachmaninoff 1923   62  0.2887  0.0068  0.0370  0.0366  0.0471  0.03
Rangell 2001   28  0.4383  0.0025  0.0822  0.3727  0.2618  0.31
Richter 1976   18  0.5011  0.0316  0.1018  0.4719  0.3414  0.40
Rosen 1989   24  0.4628  0.0035  0.0933  0.2273  0.0342  0.08
Rosenthal 1930   80  0.1588  0.0084  0.0284  0.0281  0.0287  0.02
Rosenthal 1931   75  0.2257  0.0066  0.0372  0.0347  0.0559  0.04
Rosenthal 1931b   72  0.2390  0.0061  0.0371  0.0357  0.0480  0.03
Rosenthal 1931c   68  0.2538  0.0070  0.0465  0.0468  0.0381  0.03
Rosenthal 1931d   65  0.2778  0.0060  0.0554  0.0546  0.0550  0.05
Rossi 2007   86  0.0971  0.0078  0.0281  0.0251  0.0470  0.03
Rubinstein 1939   60  0.2814  0.0141  0.0642  0.1217  0.4124  0.22
Rubinstein 1952   5  0.5621  0.0114  0.199  0.5817  0.448  0.51
Rubinstein 1966   25  0.4658  0.0030  0.0724  0.3438  0.1922  0.25
Schilhawsky 1960   47  0.3650  0.0046  0.0462  0.0453  0.0560  0.04
Shebanova 2002   15  0.5233  0.0019  0.0821  0.4443  0.1223  0.23
Smith 1975   45  0.3742  0.0040  0.0639  0.1578  0.0343  0.07
Sokolov 2002   53  0.3253  0.0067  0.0374  0.0377  0.0369  0.03
Sztompka 1959   61  0.2859  0.0075  0.0461  0.0474  0.0457  0.04
Tomsic 1995   9  0.5313  0.0218  0.1015  0.5134  0.1819  0.30
Uninsky 1932   63  0.2829  0.0062  0.0375  0.0356  0.0562  0.04
Uninsky 1971   49  0.3443  0.0055  0.0645  0.0668  0.0358  0.04
Wasowski 1980   52  0.3235  0.0032  0.0834  0.2175  0.0339  0.08
Zak 1937   6  0.557  0.0413  0.1710  0.5515  0.429  0.48
Zak 1951   7  0.558  0.0412  0.1212  0.5417  0.4111  0.47
Random 1   88  -0.0268  0.0087  0.0288  0.0229  0.2046  0.06
Random 2   90  -0.1072  0.0089  0.0289  0.0283  0.0286  0.02
Random 3   89  -0.0673  0.0090  0.0190  0.0189  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).