Brailowsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.3525  0.0021  0.1116  0.5437  0.2623  0.37
Anderszewski 2003   7  0.365  0.048  0.138  0.627  0.628  0.62
Ashkenazy 1981   71  0.1319  0.0066  0.0658  0.0676  0.0465  0.05
Bacha 2000   16  0.3412  0.019  0.127  0.6313  0.5410  0.58
Badura 1965   8  0.3513  0.017  0.146  0.663  0.684  0.67
Barbosa 1983   60  0.1975  0.0065  0.0564  0.0571  0.0469  0.04
Biret 1990   74  0.1272  0.0077  0.0380  0.0374  0.0479  0.03
Blet 2003   70  0.1454  0.0069  0.0474  0.0472  0.0376  0.03
Block 1995   23  0.3269  0.0031  0.1027  0.4372  0.0442  0.13
Blumental 1952   22  0.329  0.0211  0.1313  0.5918  0.5312  0.56
Boshniakovich 1969   20  0.3355  0.0015  0.1015  0.5639  0.2424  0.37
Brailowsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bunin 1987   56  0.2061  0.0058  0.0559  0.0576  0.0471  0.04
Bunin 1987b   53  0.2170  0.0056  0.0752  0.0768  0.0460  0.05
Chiu 1999   51  0.2180  0.0057  0.0655  0.0679  0.0457  0.05
Cohen 1997   25  0.3171  0.0032  0.0828  0.4134  0.3622  0.38
Cortot 1951   11  0.3438  0.0017  0.0917  0.5418  0.5413  0.54
Csalog 1996   61  0.1865  0.0071  0.0566  0.0551  0.0662  0.05
Czerny 1949   41  0.2641  0.0029  0.0736  0.3327  0.6116  0.45
Czerny 1990   79  0.0652  0.0072  0.0475  0.0473  0.0378  0.03
Duchoud 2007   57  0.1976  0.0063  0.0473  0.0471  0.0470  0.04
Ezaki 2006   1  0.461  0.381  0.372  0.7518  0.622  0.68
Falvay 1989   55  0.2114  0.0154  0.0560  0.0579  0.0367  0.04
Farrell 1958   30  0.3159  0.0035  0.1132  0.3622  0.4120  0.38
Ferenczy 1958   12  0.3428  0.0020  0.1020  0.529  0.815  0.65
Fliere 1977   36  0.2829  0.0030  0.0929  0.4076  0.0440  0.13
Fou 1978   24  0.3210  0.0113  0.1114  0.5835  0.2521  0.38
Francois 1956   50  0.2257  0.0053  0.0654  0.0649  0.0656  0.06
Friedman 1923   40  0.2787  0.0040  0.0741  0.1959  0.0743  0.12
Friedman 1923b   38  0.2762  0.0038  0.0938  0.2454  0.0838  0.14
Friedman 1930   64  0.1742  0.0052  0.1046  0.1064  0.0549  0.07
Garcia 2007   35  0.2827  0.0037  0.1434  0.3452  0.0637  0.14
Garcia 2007b   81  0.0463  0.0076  0.0377  0.0378  0.0382  0.03
Gierzod 1998   5  0.394  0.055  0.225  0.6811  0.663  0.67
Gornostaeva 1994   34  0.2822  0.0039  0.0739  0.2434  0.3130  0.27
Groot 1988   66  0.1688  0.0068  0.0379  0.0384  0.0380  0.03
Harasiewicz 1955   6  0.3747  0.0014  0.1310  0.6138  0.1826  0.33
Hatto 1993   82  0.0448  0.0082  0.0378  0.0388  0.0289  0.02
Hatto 1997   78  0.0983  0.0078  0.0471  0.0488  0.0277  0.03
Horowitz 1949   47  0.2449  0.0046  0.0751  0.0752  0.0654  0.06
Indjic 1988   86  0.0056  0.0087  0.0385  0.0388  0.0288  0.02
Kapell 1951   69  0.1443  0.0061  0.0561  0.0567  0.0559  0.05
Kissin 1993   87  -0.0281  0.0085  0.0287  0.0285  0.0287  0.02
Kushner 1989   54  0.2182  0.0050  0.0750  0.0767  0.0458  0.05
Luisada 1991   67  0.1518  0.0079  0.0468  0.0475  0.0466  0.04
Lushtak 2004   42  0.2624  0.0044  0.0643  0.1266  0.0547  0.08
Malcuzynski 1961   58  0.1966  0.0064  0.0562  0.0567  0.0468  0.04
Magaloff 1978   39  0.2730  0.0043  0.0644  0.1258  0.0545  0.08
Magin 1975   88  -0.0377  0.0088  0.0289  0.0286  0.0285  0.02
Michalowski 1933   68  0.1421  0.0059  0.0472  0.0468  0.0661  0.05
Milkina 1970   73  0.1384  0.0075  0.0470  0.0469  0.0374  0.03
Mohovich 1999   2  0.452  0.132  0.221  0.779  0.631  0.70
Moravec 1969   31  0.3131  0.0026  0.0930  0.4045  0.0634  0.15
Morozova 2008   14  0.3417  0.0110  0.1212  0.6038  0.1329  0.28
Neighaus 1950   27  0.3115  0.0128  0.1326  0.4667  0.0439  0.14
Niedzielski 1931   59  0.1939  0.0060  0.0657  0.0650  0.0752  0.06
Ohlsson 1999   21  0.3323  0.0027  0.1123  0.5053  0.0533  0.16
Osinska 1989   33  0.2935  0.0042  0.0742  0.1640  0.1435  0.15
Pachmann 1927   28  0.3132  0.0036  0.1235  0.3459  0.0636  0.14
Paderewski 1930   84  0.0185  0.0086  0.0384  0.0387  0.0286  0.02
Perlemuter 1992   49  0.2333  0.0047  0.0847  0.0867  0.0451  0.06
Pierdomenico 2008   77  0.0989  0.0080  0.0383  0.0384  0.0284  0.02
Poblocka 1999   17  0.3426  0.0025  0.0921  0.5137  0.2525  0.36
Rabcewiczowa 1932   44  0.2640  0.0033  0.0937  0.2430  0.3827  0.30
Rachmaninoff 1923   48  0.2367  0.0048  0.1145  0.1165  0.0448  0.07
Rangell 2001   9  0.356  0.046  0.139  0.6113  0.4414  0.52
Richter 1976   65  0.1750  0.0070  0.0565  0.0552  0.0755  0.06
Rosen 1989   4  0.417  0.044  0.253  0.7124  0.499  0.59
Rosenthal 1930   26  0.3173  0.0019  0.0922  0.5016  0.4815  0.49
Rosenthal 1931   32  0.2945  0.0018  0.0919  0.5316  0.6111  0.57
Rosenthal 1931b   13  0.3420  0.0012  0.1111  0.6011  0.716  0.65
Rosenthal 1931c   45  0.2646  0.0041  0.0840  0.1937  0.2632  0.22
Rosenthal 1931d   37  0.2774  0.0034  0.1131  0.3717  0.5017  0.43
Rossi 2007   85  0.0053  0.0089  0.0288  0.0278  0.0383  0.02
Rubinstein 1939   19  0.3311  0.0123  0.0833  0.3628  0.2328  0.29
Rubinstein 1952   76  0.1044  0.0067  0.0476  0.0484  0.0281  0.03
Rubinstein 1966   29  0.318  0.0316  0.1025  0.4640  0.1131  0.22
Schilhawsky 1960   43  0.2636  0.0045  0.0656  0.0636  0.2741  0.13
Shebanova 2002   72  0.1378  0.0073  0.0563  0.0571  0.0564  0.05
Smith 1975   46  0.2568  0.0049  0.0848  0.0845  0.0846  0.08
Sokolov 2002   62  0.1837  0.0062  0.0469  0.0480  0.0373  0.03
Sztompka 1959   75  0.1158  0.0074  0.0467  0.0483  0.0375  0.03
Tomsic 1995   63  0.1851  0.0051  0.0849  0.0869  0.0453  0.06
Uninsky 1932   52  0.2164  0.0055  0.0653  0.0677  0.0463  0.05
Uninsky 1971   3  0.443  0.113  0.254  0.706  0.587  0.64
Wasowski 1980   80  0.0486  0.0083  0.0382  0.0380  0.0472  0.03
Zak 1937   15  0.3434  0.0022  0.0818  0.5332  0.3318  0.42
Zak 1951   18  0.3316  0.0124  0.0824  0.5027  0.3519  0.42
Random 1   90  -0.1690  0.0090  0.0190  0.0190  0.0190  0.01
Random 2   83  0.0379  0.0081  0.0381  0.0335  0.1750  0.07
Random 3   89  -0.0560  0.0084  0.0386  0.0323  0.3244  0.10

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).