Malcuzynski 1961

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   15  0.6123  0.0128  0.0614  0.3370  0.0430  0.11
Anderszewski 2003   20  0.5926  0.0029  0.0525  0.2464  0.0434  0.10
Ashkenazy 1981   73  0.4140  0.0051  0.0553  0.0563  0.0468  0.04
Bacha 2000   78  0.3421  0.0180  0.0385  0.0382  0.0370  0.03
Badura 1965   60  0.4631  0.0067  0.0458  0.0464  0.0465  0.04
Barbosa 1983   87  0.1059  0.0086  0.0287  0.0278  0.0389  0.02
Biret 1990   58  0.4763  0.0046  0.0646  0.0677  0.0369  0.04
Blet 2003   72  0.4189  0.0058  0.0376  0.0382  0.0380  0.03
Block 1995   43  0.5185  0.0045  0.0645  0.1374  0.0352  0.06
Blumental 1952   75  0.3825  0.0024  0.0728  0.2337  0.1224  0.17
Boshniakovich 1969   1  0.7010  0.037  0.186  0.4633  0.257  0.34
Brailowsky 1960   59  0.4677  0.0072  0.0647  0.0660  0.0453  0.05
Bunin 1987   65  0.4444  0.0049  0.0456  0.0442  0.1844  0.08
Bunin 1987b   66  0.4456  0.0048  0.0460  0.0442  0.1843  0.08
Chiu 1999   84  0.2769  0.0077  0.0382  0.0386  0.0373  0.03
Cohen 1997   88  -0.0278  0.0088  0.0288  0.0289  0.0290  0.02
Cortot 1951   6  0.655  0.069  0.124  0.5114  0.452  0.48
Csalog 1996   82  0.3164  0.0085  0.0381  0.0375  0.0379  0.03
Czerny 1949   4  0.678  0.044  0.132  0.5936  0.313  0.43
Czerny 1990   29  0.5711  0.0230  0.0533  0.1967  0.0345  0.08
Duchoud 2007   63  0.4439  0.0050  0.0461  0.0463  0.0464  0.04
Ezaki 2006   30  0.5714  0.0212  0.107  0.4540  0.1710  0.28
Falvay 1989   79  0.3446  0.0082  0.0384  0.0357  0.0657  0.04
Farrell 1958   55  0.4757  0.0060  0.0459  0.0488  0.0376  0.03
Ferenczy 1958   68  0.4290  0.0078  0.0377  0.0381  0.0383  0.03
Fliere 1977   28  0.5771  0.0042  0.0642  0.1471  0.0447  0.07
Fou 1978   51  0.4991  0.0062  0.0372  0.0383  0.0377  0.03
Francois 1956   61  0.4686  0.0075  0.0371  0.0380  0.0388  0.03
Friedman 1923   44  0.5128  0.0018  0.1024  0.2542  0.2319  0.24
Friedman 1923b   45  0.5173  0.0015  0.0723  0.2542  0.2317  0.24
Friedman 1930   32  0.5638  0.0021  0.0922  0.2641  0.2514  0.25
Garcia 2007   26  0.5770  0.0038  0.0537  0.1560  0.0537  0.09
Garcia 2007b   40  0.5460  0.0044  0.0543  0.1348  0.0641  0.09
Gierzod 1998   14  0.6153  0.0032  0.0717  0.3157  0.0529  0.12
Gornostaeva 1994   2  0.696  0.065  0.1113  0.3916  0.326  0.35
Groot 1988   64  0.4465  0.0056  0.0375  0.0380  0.0386  0.03
Harasiewicz 1955   7  0.652  0.132  0.141  0.6228  0.304  0.43
Hatto 1993   80  0.3335  0.0054  0.0549  0.0559  0.0656  0.05
Hatto 1997   77  0.3579  0.0053  0.0369  0.0355  0.0562  0.04
Horowitz 1949   5  0.663  0.123  0.153  0.5116  0.481  0.49
Indjic 1988   76  0.3551  0.0052  0.0457  0.0457  0.0561  0.04
Kapell 1951   22  0.5830  0.0022  0.0719  0.2980  0.0335  0.09
Kissin 1993   11  0.6220  0.0119  0.0816  0.3281  0.0333  0.10
Kushner 1989   49  0.5074  0.0076  0.0466  0.0486  0.0278  0.03
Luisada 1991   70  0.4187  0.0057  0.0464  0.0484  0.0371  0.03
Lushtak 2004   81  0.3280  0.0083  0.0379  0.0384  0.0384  0.03
Malcuzynski 1961   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magaloff 1978   52  0.4852  0.0070  0.0648  0.0667  0.0554  0.05
Magin 1975   13  0.6142  0.0036  0.0730  0.2370  0.0432  0.10
Michalowski 1933   8  0.6512  0.0226  0.0821  0.2738  0.1722  0.21
Milkina 1970   3  0.699  0.036  0.1412  0.3940  0.1713  0.26
Mohovich 1999   50  0.4961  0.0069  0.0455  0.0462  0.0566  0.04
Moravec 1969   48  0.5117  0.0133  0.0639  0.1528  0.2921  0.21
Morozova 2008   69  0.4147  0.0073  0.0465  0.0480  0.0382  0.03
Neighaus 1950   25  0.5745  0.0040  0.0535  0.1764  0.0539  0.09
Niedzielski 1931   12  0.6148  0.0020  0.0718  0.3038  0.1820  0.23
Ohlsson 1999   53  0.4837  0.0071  0.0552  0.0557  0.0555  0.05
Osinska 1989   18  0.6049  0.0035  0.0629  0.2372  0.0431  0.10
Pachmann 1927   57  0.4775  0.0066  0.0468  0.0437  0.1451  0.07
Paderewski 1930   42  0.5241  0.0031  0.0540  0.1435  0.1525  0.14
Perlemuter 1992   62  0.4566  0.0055  0.0462  0.0484  0.0372  0.03
Pierdomenico 2008   67  0.4358  0.0074  0.0380  0.0361  0.0559  0.04
Poblocka 1999   21  0.5834  0.0043  0.0544  0.1365  0.0542  0.08
Rabcewiczowa 1932   74  0.3950  0.0079  0.0383  0.0387  0.0375  0.03
Rachmaninoff 1923   16  0.6013  0.028  0.159  0.4436  0.1315  0.24
Rangell 2001   36  0.5536  0.0025  0.0631  0.2027  0.2918  0.24
Richter 1976   34  0.5518  0.0116  0.0727  0.2336  0.3512  0.28
Rosen 1989   33  0.5681  0.0063  0.0370  0.0386  0.0385  0.03
Rosenthal 1930   10  0.641  0.141  0.1311  0.4111  0.365  0.38
Rosenthal 1931   37  0.5543  0.0065  0.0554  0.0540  0.1636  0.09
Rosenthal 1931b   38  0.5482  0.0064  0.0551  0.0531  0.1840  0.09
Rosenthal 1931c   39  0.5422  0.0123  0.0641  0.1432  0.2223  0.18
Rosenthal 1931d   31  0.5672  0.0061  0.0374  0.0328  0.2446  0.08
Rossi 2007   47  0.5116  0.0134  0.0732  0.2015  0.4011  0.28
Rubinstein 1939   83  0.2883  0.0084  0.0373  0.0364  0.0474  0.03
Rubinstein 1952   86  0.1729  0.0087  0.0378  0.0387  0.0387  0.03
Rubinstein 1966   85  0.2624  0.0059  0.0463  0.0486  0.0381  0.03
Schilhawsky 1960   27  0.5719  0.0113  0.1015  0.3343  0.1716  0.24
Shebanova 2002   24  0.5862  0.0047  0.0550  0.0574  0.0463  0.04
Smith 1975   41  0.5367  0.0068  0.0467  0.0470  0.0458  0.04
Sokolov 2002   46  0.5133  0.0037  0.0634  0.1760  0.0348  0.07
Sztompka 1959   17  0.6015  0.0127  0.0620  0.2855  0.0527  0.12
Tomsic 1995   71  0.4168  0.0081  0.0386  0.0361  0.0560  0.04
Uninsky 1932   19  0.604  0.0811  0.1210  0.4238  0.249  0.32
Uninsky 1971   35  0.5527  0.0017  0.0726  0.2461  0.0628  0.12
Wasowski 1980   23  0.587  0.0610  0.108  0.4420  0.258  0.33
Zak 1937   54  0.4855  0.0039  0.0536  0.1679  0.0349  0.07
Zak 1951   56  0.4754  0.0041  0.0538  0.1584  0.0350  0.07
Average   9  0.6532  0.0014  0.095  0.5070  0.0426  0.14
Random 1   90  -0.1288  0.0089  0.0289  0.0212  0.4238  0.09
Random 2   91  -0.3076  0.0091  0.0191  0.0189  0.0291  0.01
Random 3   89  -0.0884  0.0090  0.0190  0.0137  0.1767  0.04

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).