Pachmann 1927

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   60  0.2445  0.0066  0.0751  0.0780  0.0366  0.05
Anderszewski 2003   81  0.1073  0.0071  0.0476  0.0462  0.0470  0.04
Ashkenazy 1981   24  0.4142  0.0019  0.1017  0.6240  0.2231  0.37
Bacha 2000   59  0.2432  0.0051  0.0656  0.0642  0.1345  0.09
Badura 1965   48  0.3164  0.0038  0.0840  0.2414  0.5234  0.35
Barbosa 1983   57  0.2618  0.0148  0.0662  0.0666  0.0565  0.05
Biret 1990   76  0.1657  0.0075  0.0658  0.0660  0.0468  0.05
Blet 2003   41  0.3346  0.0045  0.0945  0.0960  0.0652  0.07
Block 1995   7  0.5510  0.018  0.238  0.807  0.717  0.75
Blumental 1952   74  0.1662  0.0072  0.0565  0.0576  0.0373  0.04
Boshniakovich 1969   8  0.536  0.047  0.257  0.837  0.688  0.75
Brailowsky 1960   46  0.3125  0.0049  0.0659  0.0635  0.3442  0.14
Bunin 1987   36  0.3520  0.0127  0.0828  0.4722  0.4428  0.45
Bunin 1987b   37  0.3539  0.0028  0.1330  0.4622  0.4229  0.44
Chiu 1999   15  0.4622  0.0013  0.1610  0.7221  0.5514  0.63
Cohen 1997   45  0.3153  0.0058  0.0664  0.0651  0.0657  0.06
Cortot 1951   40  0.3440  0.0050  0.0661  0.0633  0.3443  0.14
Csalog 1996   20  0.4549  0.0023  0.1220  0.5411  0.5817  0.56
Czerny 1949   88  -0.0265  0.0089  0.0286  0.0283  0.0286  0.02
Czerny 1990   70  0.1941  0.0065  0.0657  0.0659  0.0658  0.06
Duchoud 2007   54  0.2877  0.0056  0.0749  0.0753  0.0656  0.06
Ezaki 2006   66  0.2158  0.0069  0.0655  0.0657  0.0653  0.06
Falvay 1989   73  0.1734  0.0062  0.0568  0.0568  0.0369  0.04
Farrell 1958   72  0.1883  0.0068  0.0846  0.0846  0.0751  0.07
Ferenczy 1958   86  0.0185  0.0086  0.0188  0.0180  0.0385  0.02
Fliere 1977   2  0.612  0.183  0.232  0.8510  0.783  0.81
Fou 1978   50  0.305  0.0424  0.0838  0.2937  0.2336  0.26
Francois 1956   77  0.1587  0.0081  0.0384  0.0381  0.0289  0.02
Friedman 1923   3  0.6111  0.012  0.394  0.845  0.785  0.81
Friedman 1923b   1  0.611  0.441  0.443  0.854  0.802  0.82
Friedman 1930   12  0.4928  0.0012  0.1612  0.7014  0.6312  0.66
Garcia 2007   33  0.3674  0.0030  0.1024  0.5128  0.3927  0.45
Garcia 2007b   65  0.2326  0.0054  0.0566  0.0549  0.0761  0.06
Gierzod 1998   62  0.2333  0.0055  0.0569  0.0542  0.1548  0.09
Gornostaeva 1994   69  0.1969  0.0077  0.0477  0.0475  0.0382  0.03
Groot 1988   22  0.4223  0.0034  0.0931  0.4651  0.0740  0.18
Harasiewicz 1955   21  0.4470  0.0032  0.0926  0.4841  0.1437  0.26
Hatto 1993   39  0.3478  0.0039  0.1037  0.2947  0.1239  0.19
Hatto 1997   78  0.1175  0.0076  0.0574  0.0579  0.0372  0.04
Horowitz 1949   32  0.3747  0.0036  0.0935  0.3633  0.3732  0.36
Indjic 1988   52  0.2884  0.0047  0.0752  0.0746  0.1050  0.08
Kapell 1951   51  0.2871  0.0057  0.0753  0.0754  0.0655  0.06
Kissin 1993   34  0.3621  0.0033  0.0832  0.4531  0.4626  0.45
Kushner 1989   38  0.3415  0.0142  0.0941  0.1948  0.0744  0.12
Luisada 1991   35  0.3655  0.0046  0.0748  0.0757  0.0654  0.06
Lushtak 2004   56  0.2676  0.0061  0.0572  0.0564  0.0567  0.05
Malcuzynski 1961   23  0.4238  0.0020  0.1018  0.6120  0.4818  0.54
Magaloff 1978   5  0.593  0.065  0.291  0.852  0.791  0.82
Magin 1975   30  0.3959  0.0035  0.0934  0.4224  0.5124  0.46
Michalowski 1933   19  0.4530  0.0021  0.0927  0.4823  0.4325  0.45
Milkina 1970   85  0.0124  0.0085  0.0380  0.0386  0.0284  0.02
Mohovich 1999   31  0.3750  0.0040  0.1039  0.2536  0.2338  0.24
Moravec 1969   71  0.1979  0.0070  0.0475  0.0483  0.0375  0.03
Morozova 2008   43  0.3263  0.0043  0.0842  0.1565  0.0547  0.09
Neighaus 1950   26  0.4160  0.0025  0.0819  0.5541  0.1535  0.29
Niedzielski 1931   17  0.4519  0.0115  0.1816  0.6413  0.5715  0.60
Ohlsson 1999   10  0.508  0.029  0.219  0.7310  0.6111  0.67
Osinska 1989   18  0.4517  0.0129  0.0929  0.4719  0.5521  0.51
Pachmann 1927   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Paderewski 1930   14  0.4616  0.0116  0.1413  0.7011  0.6510  0.67
Perlemuter 1992   16  0.4666  0.0026  0.0822  0.5326  0.5419  0.53
Pierdomenico 2008   13  0.4812  0.0114  0.1911  0.722  0.729  0.72
Poblocka 1999   44  0.3161  0.0044  0.0644  0.1263  0.0549  0.08
Rabcewiczowa 1932   75  0.1651  0.0079  0.0479  0.0478  0.0377  0.03
Rachmaninoff 1923   58  0.2686  0.0063  0.0567  0.0553  0.0562  0.05
Rangell 2001   49  0.3067  0.0052  0.0750  0.0763  0.0559  0.06
Richter 1976   4  0.604  0.046  0.365  0.838  0.804  0.81
Rosen 1989   9  0.529  0.0111  0.1714  0.6912  0.6213  0.65
Rosenthal 1930   80  0.1180  0.0083  0.0383  0.0383  0.0380  0.03
Rosenthal 1931   82  0.0543  0.0080  0.0385  0.0368  0.0379  0.03
Rosenthal 1931b   83  0.0588  0.0082  0.0382  0.0382  0.0288  0.02
Rosenthal 1931c   68  0.2152  0.0067  0.0747  0.0755  0.0560  0.06
Rosenthal 1931d   84  0.0289  0.0084  0.0381  0.0380  0.0383  0.03
Rossi 2007   53  0.2856  0.0053  0.0663  0.0612  0.5041  0.17
Rubinstein 1939   79  0.1148  0.0078  0.0478  0.0480  0.0376  0.03
Rubinstein 1952   55  0.2772  0.0060  0.0570  0.0565  0.0474  0.04
Rubinstein 1966   67  0.2168  0.0073  0.0573  0.0580  0.0371  0.04
Schilhawsky 1960   42  0.3344  0.0037  0.1136  0.3121  0.4430  0.37
Shebanova 2002   6  0.577  0.024  0.226  0.8311  0.746  0.78
Smith 1975   63  0.2327  0.0074  0.0660  0.0657  0.0563  0.05
Sokolov 2002   47  0.3129  0.0041  0.0743  0.1548  0.0546  0.09
Sztompka 1959   25  0.4131  0.0031  0.1021  0.5340  0.2333  0.35
Tomsic 1995   61  0.2390  0.0064  0.0754  0.0773  0.0464  0.05
Uninsky 1932   11  0.4913  0.0110  0.2615  0.6816  0.5116  0.59
Uninsky 1971   64  0.2337  0.0059  0.0571  0.0584  0.0278  0.03
Wasowski 1980   28  0.4036  0.0018  0.1025  0.5033  0.4223  0.46
Zak 1937   27  0.4014  0.0117  0.1023  0.5214  0.5320  0.52
Zak 1951   29  0.3935  0.0022  0.0933  0.4415  0.5222  0.48
Random 1   89  -0.0654  0.0088  0.0189  0.0172  0.0387  0.02
Random 2   90  -0.1081  0.0090  0.0190  0.0183  0.0290  0.01
Random 3   87  0.0082  0.0087  0.0187  0.0141  0.1181  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).