Brailowsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   32  0.5179  0.0046  0.1045  0.1079  0.0353  0.05
Anderszewski 2003   5  0.6210  0.0211  0.1410  0.6346  0.0523  0.18
Ashkenazy 1981   60  0.4529  0.0052  0.0569  0.0577  0.0372  0.04
Bacha 2000   28  0.5276  0.0025  0.0844  0.1752  0.0539  0.09
Badura 1965   75  0.3920  0.0077  0.0473  0.0485  0.0384  0.03
Barbosa 1983   11  0.593  0.163  0.235  0.6914  0.542  0.61
Biret 1990   13  0.5849  0.0015  0.1614  0.5448  0.0625  0.18
Blet 2003   48  0.4741  0.0050  0.0653  0.0663  0.0451  0.05
Block 1995   16  0.564  0.097  0.168  0.6614  0.474  0.56
Blumental 1952   12  0.587  0.038  0.226  0.6750  0.0524  0.18
Boshniakovich 1969   62  0.4483  0.0069  0.0648  0.0679  0.0454  0.05
Brailowsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bunin 1987   82  0.3184  0.0078  0.0480  0.0480  0.0386  0.03
Bunin 1987b   83  0.2985  0.0079  0.0472  0.0480  0.0380  0.03
Chiu 1999   27  0.5271  0.0041  0.0640  0.2250  0.0636  0.11
Cohen 1997   78  0.3536  0.0076  0.0565  0.0565  0.0473  0.04
Cortot 1951   68  0.4172  0.0048  0.0557  0.0572  0.0375  0.04
Csalog 1996   70  0.4056  0.0066  0.0564  0.0560  0.0550  0.05
Czerny 1949   64  0.4262  0.0073  0.0567  0.0585  0.0371  0.04
Czerny 1990   15  0.5758  0.0017  0.1816  0.5357  0.0526  0.16
Duchoud 2007   85  0.2763  0.0083  0.0287  0.0288  0.0288  0.02
Ezaki 2006   9  0.6116  0.0113  0.1413  0.6041  0.1417  0.29
Falvay 1989   3  0.6312  0.019  0.157  0.6620  0.473  0.56
Farrell 1958   53  0.4669  0.0058  0.0566  0.0566  0.0546  0.05
Ferenczy 1958   19  0.5511  0.0121  0.1020  0.4623  0.3912  0.42
Fliere 1977   1  0.651  0.231  0.231  0.7837  0.1914  0.38
Fou 1978   18  0.5537  0.0023  0.0923  0.4168  0.0431  0.13
Francois 1956   71  0.4070  0.0074  0.0555  0.0586  0.0376  0.04
Friedman 1923   40  0.4959  0.0047  0.0647  0.0667  0.0557  0.05
Friedman 1923b   49  0.4751  0.0049  0.0651  0.0648  0.0645  0.06
Friedman 1930   47  0.4788  0.0061  0.0554  0.0566  0.0468  0.04
Garcia 2007   81  0.3264  0.0081  0.0381  0.0380  0.0483  0.03
Garcia 2007b   66  0.4252  0.0055  0.0476  0.0447  0.0577  0.04
Gierzod 1998   36  0.5053  0.0042  0.0739  0.2384  0.0344  0.08
Gornostaeva 1994   26  0.5377  0.0045  0.0946  0.0978  0.0355  0.05
Groot 1988   10  0.598  0.036  0.169  0.6613  0.436  0.53
Harasiewicz 1955   21  0.5518  0.0126  0.0826  0.4062  0.0530  0.14
Hatto 1993   45  0.4839  0.0051  0.0563  0.0553  0.0556  0.05
Hatto 1997   43  0.4886  0.0057  0.0478  0.0463  0.0469  0.04
Horowitz 1949   37  0.505  0.0619  0.1022  0.4532  0.3613  0.40
Indjic 1988   44  0.4843  0.0056  0.0477  0.0469  0.0465  0.04
Kapell 1951   41  0.4847  0.0043  0.0841  0.2178  0.0441  0.09
Kissin 1993   69  0.4157  0.0071  0.0562  0.0584  0.0364  0.04
Kushner 1989   24  0.5373  0.0036  0.0830  0.3257  0.0532  0.13
Luisada 1991   6  0.626  0.044  0.243  0.7722  0.347  0.51
Lushtak 2004   17  0.5513  0.0116  0.1718  0.4840  0.1420  0.26
Malcuzynski 1961   67  0.4131  0.0068  0.0652  0.0679  0.0361  0.04
Magaloff 1978   8  0.6138  0.0014  0.1115  0.5422  0.3211  0.42
Magin 1975   39  0.4932  0.0035  0.0731  0.3185  0.0337  0.10
Michalowski 1933   79  0.3480  0.0080  0.0479  0.0478  0.0382  0.03
Milkina 1970   14  0.5774  0.0024  0.0921  0.4571  0.0527  0.15
Mohovich 1999   4  0.639  0.025  0.154  0.7024  0.445  0.55
Moravec 1969   30  0.5127  0.0038  0.0634  0.2829  0.2818  0.28
Morozova 2008   63  0.4281  0.0063  0.0649  0.0676  0.0367  0.04
Neighaus 1950   57  0.4545  0.0064  0.0570  0.0579  0.0474  0.04
Niedzielski 1931   59  0.4519  0.0032  0.0937  0.2375  0.0343  0.08
Ohlsson 1999   55  0.4687  0.0060  0.0556  0.0570  0.0463  0.04
Osinska 1989   20  0.5525  0.0029  0.1029  0.3675  0.0435  0.12
Pachmann 1927   80  0.3375  0.0087  0.0382  0.0387  0.0287  0.02
Paderewski 1930   86  0.2460  0.0086  0.0384  0.0366  0.0481  0.03
Perlemuter 1992   61  0.4426  0.0067  0.0561  0.0563  0.0458  0.04
Pierdomenico 2008   87  0.2389  0.0085  0.0383  0.0384  0.0379  0.03
Poblocka 1999   22  0.5417  0.0110  0.1212  0.6257  0.0521  0.18
Rabcewiczowa 1932   46  0.4854  0.0033  0.0638  0.2367  0.0438  0.10
Rachmaninoff 1923   7  0.6215  0.0112  0.1511  0.6251  0.0522  0.18
Rangell 2001   84  0.2861  0.0082  0.0286  0.0285  0.0389  0.02
Richter 1976   76  0.3865  0.0075  0.0650  0.0672  0.0448  0.05
Rosen 1989   25  0.5366  0.0022  0.1027  0.3869  0.0529  0.14
Rosenthal 1930   29  0.5114  0.0120  0.1217  0.4916  0.528  0.50
Rosenthal 1931   34  0.5021  0.0028  0.1124  0.419  0.589  0.49
Rosenthal 1931b   50  0.4733  0.0037  0.0633  0.2815  0.5015  0.37
Rosenthal 1931c   54  0.4630  0.0039  0.0736  0.2622  0.4116  0.33
Rosenthal 1931d   33  0.5048  0.0027  0.0825  0.4112  0.5810  0.49
Rossi 2007   77  0.3690  0.0084  0.0385  0.0387  0.0378  0.03
Rubinstein 1939   51  0.4722  0.0044  0.0943  0.1855  0.0540  0.09
Rubinstein 1952   42  0.4828  0.0018  0.1619  0.4739  0.1719  0.28
Rubinstein 1966   23  0.5340  0.0034  0.0632  0.2949  0.0728  0.14
Schilhawsky 1960   74  0.3950  0.0072  0.0560  0.0579  0.0366  0.04
Shebanova 2002   35  0.5034  0.0040  0.0735  0.2750  0.0633  0.13
Smith 1975   2  0.642  0.192  0.212  0.777  0.541  0.64
Sokolov 2002   72  0.4082  0.0065  0.0474  0.0463  0.0459  0.04
Sztompka 1959   38  0.5023  0.0030  0.0742  0.1974  0.0442  0.09
Tomsic 1995   73  0.3967  0.0070  0.0475  0.0465  0.0562  0.04
Uninsky 1932   58  0.4544  0.0053  0.0559  0.0571  0.0470  0.04
Uninsky 1971   65  0.4246  0.0062  0.0558  0.0571  0.0549  0.05
Wasowski 1980   31  0.5135  0.0031  0.0628  0.3668  0.0434  0.12
Zak 1937   52  0.4778  0.0054  0.0471  0.0465  0.0560  0.04
Zak 1951   56  0.4524  0.0059  0.0568  0.0565  0.0547  0.05
Random 1   90  -0.1768  0.0090  0.0190  0.0183  0.0290  0.01
Random 2   88  -0.0355  0.0088  0.0189  0.0125  0.2752  0.05
Random 3   89  -0.0842  0.0089  0.0288  0.0257  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).