Brailowsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   33  0.5180  0.0047  0.1046  0.1080  0.0354  0.05
Anderszewski 2003   6  0.6211  0.0212  0.1411  0.6347  0.0523  0.18
Ashkenazy 1981   61  0.4529  0.0053  0.0570  0.0578  0.0373  0.04
Bacha 2000   29  0.5276  0.0026  0.0745  0.1753  0.0540  0.09
Badura 1965   76  0.3921  0.0078  0.0474  0.0486  0.0284  0.03
Barbosa 1983   12  0.593  0.154  0.236  0.6915  0.542  0.61
Biret 1990   14  0.5849  0.0016  0.1615  0.5449  0.0527  0.16
Blet 2003   49  0.4741  0.0051  0.0654  0.0664  0.0452  0.05
Block 1995   17  0.564  0.098  0.169  0.6615  0.474  0.56
Blumental 1952   13  0.588  0.039  0.217  0.6751  0.0525  0.18
Boshniakovich 1969   63  0.4484  0.0070  0.0649  0.0680  0.0455  0.05
Brailowsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bunin 1987   83  0.3185  0.0079  0.0481  0.0481  0.0386  0.03
Bunin 1987b   84  0.2986  0.0080  0.0473  0.0481  0.0380  0.03
Chiu 1999   28  0.5270  0.0042  0.0641  0.2251  0.0537  0.10
Cohen 1997   79  0.3536  0.0077  0.0566  0.0566  0.0474  0.04
Cortot 1951   69  0.4171  0.0049  0.0558  0.0573  0.0376  0.04
Csalog 1996   71  0.4054  0.0067  0.0565  0.0561  0.0551  0.05
Czerny 1949   65  0.4272  0.0074  0.0568  0.0586  0.0372  0.04
Czerny 1990   16  0.5758  0.0018  0.1817  0.5358  0.0526  0.16
Duchoud 2007   86  0.2763  0.0084  0.0288  0.0289  0.0289  0.02
Ezaki 2006   10  0.6117  0.0114  0.1414  0.6042  0.1417  0.29
Falvay 1989   4  0.6312  0.0110  0.158  0.6621  0.473  0.56
Farrell 1958   54  0.4668  0.0059  0.0567  0.0567  0.0547  0.05
Ferenczy 1958   20  0.5513  0.0122  0.1021  0.4624  0.3912  0.42
Fliere 1977   2  0.651  0.211  0.211  0.7838  0.1914  0.38
Fou 1978   19  0.5542  0.0024  0.0824  0.4169  0.0432  0.13
Francois 1956   72  0.4069  0.0075  0.0556  0.0587  0.0377  0.04
Friedman 1923   41  0.4959  0.0048  0.0648  0.0668  0.0558  0.05
Friedman 1923b   50  0.4750  0.0050  0.0652  0.0649  0.0646  0.06
Friedman 1930   48  0.4788  0.0062  0.0555  0.0567  0.0469  0.04
Garcia 2007   82  0.3264  0.0082  0.0382  0.0381  0.0383  0.03
Garcia 2007b   67  0.4251  0.0056  0.0477  0.0448  0.0578  0.04
Gierzod 1998   37  0.5060  0.0043  0.0740  0.2385  0.0345  0.08
Gornostaeva 1994   27  0.5377  0.0046  0.0947  0.0979  0.0356  0.05
Groot 1988   11  0.599  0.037  0.1610  0.6614  0.436  0.53
Harasiewicz 1955   22  0.5519  0.0127  0.0727  0.4063  0.0531  0.14
Hatto 1993   46  0.4839  0.0052  0.0564  0.0554  0.0557  0.05
Hatto 1997   44  0.4887  0.0058  0.0479  0.0464  0.0470  0.04
Horowitz 1949   38  0.505  0.0620  0.1023  0.4533  0.3613  0.40
Indjic 1988   45  0.4844  0.0057  0.0478  0.0470  0.0466  0.04
Kapell 1951   42  0.4848  0.0044  0.0842  0.2179  0.0344  0.08
Kissin 1993   70  0.4155  0.0072  0.0563  0.0585  0.0365  0.04
Kushner 1989   25  0.5373  0.0037  0.0831  0.3258  0.0533  0.13
Luisada 1991   7  0.627  0.045  0.234  0.7723  0.347  0.51
Lushtak 2004   18  0.5514  0.0117  0.1719  0.4841  0.1420  0.26
Malcuzynski 1961   68  0.4130  0.0069  0.0653  0.0680  0.0362  0.04
Magaloff 1978   9  0.6138  0.0015  0.1116  0.5423  0.3211  0.42
Magin 1975   40  0.4931  0.0036  0.0732  0.3186  0.0338  0.10
Michalowski 1933   80  0.3481  0.0081  0.0480  0.0479  0.0382  0.03
Milkina 1970   15  0.5774  0.0025  0.0822  0.4572  0.0528  0.15
Mohovich 1999   5  0.6310  0.026  0.155  0.7025  0.445  0.55
Moravec 1969   31  0.5132  0.0039  0.0635  0.2830  0.2818  0.28
Morozova 2008   64  0.4282  0.0064  0.0650  0.0677  0.0368  0.04
Neighaus 1950   58  0.4546  0.0065  0.0571  0.0580  0.0475  0.04
Niedzielski 1931   60  0.4520  0.0033  0.0938  0.2376  0.0343  0.08
Ohlsson 1999   56  0.4689  0.0061  0.0557  0.0571  0.0464  0.04
Osinska 1989   21  0.5526  0.0030  0.0930  0.3676  0.0436  0.12
Pachmann 1927   81  0.3375  0.0088  0.0383  0.0388  0.0288  0.02
Paderewski 1930   87  0.2461  0.0087  0.0385  0.0367  0.0481  0.03
Perlemuter 1992   62  0.4427  0.0068  0.0562  0.0564  0.0459  0.04
Pierdomenico 2008   88  0.2390  0.0086  0.0384  0.0385  0.0379  0.03
Poblocka 1999   23  0.5418  0.0111  0.1213  0.6258  0.0521  0.18
Rabcewiczowa 1932   47  0.4856  0.0034  0.0639  0.2368  0.0439  0.10
Rachmaninoff 1923   8  0.6216  0.0113  0.1412  0.6252  0.0522  0.18
Rangell 2001   85  0.2862  0.0083  0.0287  0.0286  0.0390  0.02
Richter 1976   77  0.3878  0.0076  0.0651  0.0673  0.0449  0.05
Rosen 1989   26  0.5365  0.0023  0.1028  0.3870  0.0530  0.14
Rosenthal 1930   30  0.5115  0.0121  0.1118  0.4917  0.528  0.50
Rosenthal 1931   35  0.5022  0.0029  0.1125  0.4110  0.589  0.49
Rosenthal 1931b   51  0.4733  0.0038  0.0534  0.2816  0.5015  0.37
Rosenthal 1931c   55  0.4637  0.0040  0.0737  0.2623  0.4116  0.33
Rosenthal 1931d   34  0.5047  0.0028  0.0826  0.4113  0.5810  0.49
Rossi 2007   78  0.3691  0.0085  0.0286  0.0288  0.0387  0.02
Rubinstein 1939   52  0.4723  0.0045  0.0944  0.1856  0.0442  0.08
Rubinstein 1952   43  0.4828  0.0019  0.1620  0.4740  0.1719  0.28
Rubinstein 1966   24  0.5340  0.0035  0.0633  0.2950  0.0729  0.14
Schilhawsky 1960   75  0.3952  0.0073  0.0561  0.0580  0.0367  0.04
Shebanova 2002   36  0.5034  0.0041  0.0736  0.2751  0.0634  0.13
Smith 1975   3  0.642  0.182  0.193  0.778  0.541  0.64
Sokolov 2002   73  0.4083  0.0066  0.0475  0.0464  0.0460  0.04
Sztompka 1959   39  0.5024  0.0031  0.0743  0.1975  0.0441  0.09
Tomsic 1995   74  0.3966  0.0071  0.0476  0.0466  0.0563  0.04
Uninsky 1932   59  0.4545  0.0054  0.0560  0.0572  0.0471  0.04
Uninsky 1971   66  0.4257  0.0063  0.0559  0.0572  0.0550  0.05
Wasowski 1980   32  0.5135  0.0032  0.0629  0.3669  0.0435  0.12
Zak 1937   53  0.4779  0.0055  0.0472  0.0466  0.0561  0.04
Zak 1951   57  0.4525  0.0060  0.0569  0.0566  0.0548  0.05
Average   1  0.676  0.043  0.202  0.7870  0.0424  0.18
Random 1   91  -0.1767  0.0091  0.0191  0.0184  0.0291  0.01
Random 2   89  -0.0353  0.0089  0.0190  0.0125  0.2753  0.05
Random 3   90  -0.0843  0.0090  0.0289  0.0258  0.0485  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).