Malcuzynski 1961

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   14  0.6123  0.0127  0.0613  0.3369  0.0429  0.11
Anderszewski 2003   19  0.5926  0.0028  0.0524  0.2463  0.0433  0.10
Ashkenazy 1981   72  0.4139  0.0050  0.0552  0.0562  0.0467  0.04
Bacha 2000   77  0.3421  0.0179  0.0384  0.0381  0.0369  0.03
Badura 1965   59  0.4631  0.0066  0.0457  0.0463  0.0564  0.04
Barbosa 1983   86  0.1059  0.0085  0.0286  0.0277  0.0388  0.02
Biret 1990   57  0.4762  0.0045  0.0645  0.0676  0.0368  0.04
Blet 2003   71  0.4189  0.0057  0.0375  0.0381  0.0379  0.03
Block 1995   42  0.5185  0.0044  0.0744  0.1373  0.0351  0.06
Blumental 1952   74  0.3824  0.0023  0.0727  0.2336  0.1224  0.17
Boshniakovich 1969   1  0.7010  0.037  0.185  0.4632  0.257  0.34
Brailowsky 1960   58  0.4677  0.0071  0.0646  0.0659  0.0453  0.05
Bunin 1987   64  0.4443  0.0048  0.0455  0.0441  0.1843  0.08
Bunin 1987b   65  0.4456  0.0047  0.0459  0.0441  0.1842  0.08
Chiu 1999   83  0.2768  0.0076  0.0381  0.0385  0.0372  0.03
Cohen 1997   87  -0.0278  0.0087  0.0287  0.0288  0.0289  0.02
Cortot 1951   6  0.655  0.069  0.144  0.5113  0.452  0.48
Csalog 1996   81  0.3163  0.0084  0.0380  0.0374  0.0378  0.03
Czerny 1949   4  0.678  0.044  0.132  0.5935  0.313  0.43
Czerny 1990   28  0.5711  0.0229  0.0532  0.1966  0.0344  0.08
Duchoud 2007   62  0.4438  0.0049  0.0460  0.0462  0.0463  0.04
Ezaki 2006   29  0.5714  0.0212  0.126  0.4539  0.1710  0.28
Falvay 1989   78  0.3446  0.0081  0.0383  0.0356  0.0656  0.04
Farrell 1958   54  0.4757  0.0059  0.0458  0.0487  0.0375  0.03
Ferenczy 1958   67  0.4273  0.0077  0.0376  0.0380  0.0382  0.03
Fliere 1977   27  0.5769  0.0041  0.0641  0.1470  0.0446  0.07
Fou 1978   50  0.4990  0.0061  0.0371  0.0382  0.0376  0.03
Francois 1956   60  0.4686  0.0074  0.0370  0.0379  0.0387  0.03
Friedman 1923   43  0.5128  0.0017  0.1023  0.2541  0.2319  0.24
Friedman 1923b   44  0.5174  0.0014  0.0722  0.2541  0.2317  0.24
Friedman 1930   31  0.5637  0.0020  0.0921  0.2640  0.2514  0.25
Garcia 2007   25  0.5770  0.0037  0.0536  0.1559  0.0536  0.09
Garcia 2007b   39  0.5460  0.0043  0.0542  0.1347  0.0640  0.09
Gierzod 1998   13  0.6153  0.0031  0.0716  0.3156  0.0528  0.12
Gornostaeva 1994   2  0.696  0.065  0.1112  0.3915  0.326  0.35
Groot 1988   63  0.4464  0.0055  0.0374  0.0379  0.0385  0.03
Harasiewicz 1955   7  0.652  0.132  0.141  0.6227  0.304  0.43
Hatto 1993   79  0.3334  0.0053  0.0648  0.0658  0.0652  0.06
Hatto 1997   76  0.3579  0.0052  0.0368  0.0354  0.0561  0.04
Horowitz 1949   5  0.663  0.123  0.153  0.5115  0.481  0.49
Indjic 1988   75  0.3551  0.0051  0.0456  0.0456  0.0560  0.04
Kapell 1951   21  0.5830  0.0021  0.0718  0.2979  0.0334  0.09
Kissin 1993   10  0.6220  0.0118  0.0815  0.3280  0.0332  0.10
Kushner 1989   48  0.5071  0.0075  0.0465  0.0485  0.0277  0.03
Luisada 1991   69  0.4187  0.0056  0.0463  0.0483  0.0370  0.03
Lushtak 2004   80  0.3280  0.0082  0.0378  0.0383  0.0383  0.03
Malcuzynski 1961   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magaloff 1978   51  0.4852  0.0069  0.0647  0.0666  0.0554  0.05
Magin 1975   12  0.6140  0.0035  0.0729  0.2369  0.0431  0.10
Michalowski 1933   8  0.6512  0.0225  0.0820  0.2737  0.1722  0.21
Milkina 1970   3  0.699  0.036  0.1411  0.3939  0.1713  0.26
Mohovich 1999   49  0.4961  0.0068  0.0454  0.0461  0.0565  0.04
Moravec 1969   47  0.5117  0.0132  0.0638  0.1527  0.2921  0.21
Morozova 2008   68  0.4147  0.0072  0.0464  0.0479  0.0381  0.03
Neighaus 1950   24  0.5744  0.0039  0.0534  0.1763  0.0538  0.09
Niedzielski 1931   11  0.6145  0.0019  0.0817  0.3037  0.1820  0.23
Ohlsson 1999   52  0.4836  0.0070  0.0551  0.0556  0.0555  0.05
Osinska 1989   17  0.6048  0.0034  0.0628  0.2371  0.0430  0.10
Pachmann 1927   56  0.4775  0.0065  0.0467  0.0436  0.1450  0.07
Paderewski 1930   41  0.5241  0.0030  0.0639  0.1434  0.1525  0.14
Perlemuter 1992   61  0.4565  0.0054  0.0461  0.0483  0.0371  0.03
Pierdomenico 2008   66  0.4358  0.0073  0.0379  0.0360  0.0558  0.04
Poblocka 1999   20  0.5833  0.0042  0.0543  0.1364  0.0541  0.08
Rabcewiczowa 1932   73  0.3949  0.0078  0.0382  0.0386  0.0374  0.03
Rachmaninoff 1923   15  0.6013  0.028  0.158  0.4435  0.1315  0.24
Rangell 2001   35  0.5535  0.0024  0.0630  0.2026  0.2918  0.24
Richter 1976   33  0.5518  0.0115  0.0726  0.2335  0.3512  0.28
Rosen 1989   32  0.5681  0.0062  0.0369  0.0385  0.0384  0.03
Rosenthal 1930   9  0.641  0.141  0.1310  0.4110  0.365  0.38
Rosenthal 1931   36  0.5542  0.0064  0.0553  0.0539  0.1635  0.09
Rosenthal 1931b   37  0.5482  0.0063  0.0550  0.0530  0.1839  0.09
Rosenthal 1931c   38  0.5422  0.0122  0.0640  0.1431  0.2223  0.18
Rosenthal 1931d   30  0.5672  0.0060  0.0373  0.0327  0.2445  0.08
Rossi 2007   46  0.5116  0.0133  0.0731  0.2015  0.4011  0.28
Rubinstein 1939   82  0.2883  0.0083  0.0372  0.0363  0.0473  0.03
Rubinstein 1952   85  0.1729  0.0086  0.0377  0.0386  0.0386  0.03
Rubinstein 1966   84  0.2625  0.0058  0.0462  0.0485  0.0380  0.03
Schilhawsky 1960   26  0.5719  0.0113  0.1014  0.3342  0.1716  0.24
Shebanova 2002   23  0.5855  0.0046  0.0549  0.0573  0.0462  0.04
Smith 1975   40  0.5366  0.0067  0.0466  0.0469  0.0457  0.04
Sokolov 2002   45  0.5132  0.0036  0.0633  0.1759  0.0347  0.07
Sztompka 1959   16  0.6015  0.0126  0.0619  0.2854  0.0526  0.12
Tomsic 1995   70  0.4167  0.0080  0.0385  0.0360  0.0559  0.04
Uninsky 1932   18  0.604  0.0810  0.119  0.4237  0.249  0.32
Uninsky 1971   34  0.5527  0.0016  0.0725  0.2460  0.0627  0.12
Wasowski 1980   22  0.587  0.0611  0.137  0.4419  0.258  0.33
Zak 1937   53  0.4850  0.0038  0.0535  0.1678  0.0348  0.07
Zak 1951   55  0.4754  0.0040  0.0537  0.1583  0.0349  0.07
Random 1   89  -0.1288  0.0088  0.0288  0.0212  0.4237  0.09
Random 2   90  -0.3076  0.0090  0.0190  0.0188  0.0290  0.01
Random 3   88  -0.0884  0.0089  0.0189  0.0137  0.1666  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).