Brailowsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   11  0.3528  0.0022  0.1117  0.5438  0.2623  0.37
Anderszewski 2003   8  0.366  0.049  0.139  0.628  0.628  0.62
Ashkenazy 1981   72  0.1320  0.0067  0.0659  0.0677  0.0466  0.05
Bacha 2000   17  0.3414  0.0110  0.128  0.6314  0.5410  0.58
Badura 1965   9  0.3511  0.018  0.147  0.664  0.684  0.67
Barbosa 1983   61  0.1975  0.0066  0.0565  0.0572  0.0470  0.04
Biret 1990   75  0.1272  0.0078  0.0381  0.0375  0.0480  0.03
Blet 2003   71  0.1451  0.0070  0.0475  0.0473  0.0377  0.03
Block 1995   24  0.3269  0.0032  0.1028  0.4373  0.0443  0.13
Blumental 1952   23  0.3213  0.0112  0.1314  0.5919  0.5312  0.56
Boshniakovich 1969   21  0.3354  0.0016  0.1016  0.5640  0.2424  0.37
Brailowsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bunin 1987   57  0.2062  0.0059  0.0560  0.0577  0.0472  0.04
Bunin 1987b   54  0.2170  0.0057  0.0753  0.0769  0.0460  0.05
Chiu 1999   52  0.2180  0.0058  0.0656  0.0680  0.0457  0.05
Cohen 1997   26  0.3171  0.0033  0.0829  0.4135  0.3622  0.38
Cortot 1951   12  0.3439  0.0018  0.0918  0.5419  0.5413  0.54
Csalog 1996   62  0.1881  0.0072  0.0467  0.0452  0.0663  0.05
Czerny 1949   42  0.2642  0.0030  0.0737  0.3328  0.6116  0.45
Czerny 1990   80  0.0649  0.0073  0.0476  0.0474  0.0379  0.03
Duchoud 2007   58  0.1976  0.0064  0.0474  0.0472  0.0471  0.04
Ezaki 2006   1  0.461  0.341  0.343  0.7519  0.622  0.68
Falvay 1989   56  0.2112  0.0155  0.0561  0.0580  0.0368  0.04
Farrell 1958   31  0.3160  0.0036  0.1133  0.3623  0.4120  0.38
Ferenczy 1958   13  0.3429  0.0021  0.1021  0.529  0.815  0.65
Fliere 1977   37  0.2830  0.0031  0.0930  0.4077  0.0441  0.13
Fou 1978   25  0.3210  0.0114  0.1115  0.5836  0.2521  0.38
Francois 1956   51  0.2257  0.0054  0.0655  0.0650  0.0656  0.06
Friedman 1923   41  0.2788  0.0041  0.0742  0.1960  0.0744  0.12
Friedman 1923b   39  0.2763  0.0039  0.0939  0.2455  0.0839  0.14
Friedman 1930   65  0.1743  0.0053  0.1047  0.1065  0.0551  0.07
Garcia 2007   36  0.2827  0.0038  0.1435  0.3453  0.0638  0.14
Garcia 2007b   82  0.0464  0.0077  0.0378  0.0379  0.0382  0.03
Gierzod 1998   6  0.395  0.056  0.226  0.6812  0.663  0.67
Gornostaeva 1994   35  0.2824  0.0040  0.0740  0.2435  0.3130  0.27
Groot 1988   67  0.1689  0.0069  0.0380  0.0385  0.0381  0.03
Harasiewicz 1955   7  0.3755  0.0015  0.1311  0.6139  0.1826  0.33
Hatto 1993   83  0.0447  0.0083  0.0379  0.0389  0.0289  0.02
Hatto 1997   79  0.0984  0.0079  0.0472  0.0489  0.0278  0.03
Horowitz 1949   48  0.2458  0.0047  0.0752  0.0753  0.0655  0.06
Indjic 1988   87  0.0052  0.0088  0.0386  0.0389  0.0288  0.02
Kapell 1951   70  0.1456  0.0062  0.0562  0.0568  0.0559  0.05
Kissin 1993   88  -0.0282  0.0086  0.0288  0.0286  0.0287  0.02
Kushner 1989   55  0.2183  0.0051  0.0751  0.0768  0.0458  0.05
Luisada 1991   68  0.1519  0.0080  0.0469  0.0476  0.0467  0.04
Lushtak 2004   43  0.2625  0.0045  0.0644  0.1267  0.0549  0.08
Malcuzynski 1961   59  0.1966  0.0065  0.0563  0.0568  0.0469  0.04
Magaloff 1978   40  0.2731  0.0044  0.0645  0.1259  0.0546  0.08
Magin 1975   89  -0.0377  0.0089  0.0290  0.0287  0.0285  0.02
Michalowski 1933   69  0.1422  0.0060  0.0473  0.0469  0.0662  0.05
Milkina 1970   74  0.1385  0.0076  0.0471  0.0470  0.0375  0.03
Mohovich 1999   2  0.452  0.122  0.172  0.7710  0.631  0.70
Moravec 1969   32  0.3134  0.0027  0.0931  0.4046  0.0635  0.15
Morozova 2008   15  0.3418  0.0111  0.1213  0.6039  0.1329  0.28
Neighaus 1950   28  0.3115  0.0129  0.1327  0.4668  0.0440  0.14
Niedzielski 1931   60  0.1940  0.0061  0.0658  0.0651  0.0753  0.06
Ohlsson 1999   22  0.3323  0.0028  0.1124  0.5054  0.0534  0.16
Osinska 1989   34  0.2936  0.0043  0.0743  0.1641  0.1436  0.15
Pachmann 1927   29  0.3132  0.0037  0.1236  0.3460  0.0637  0.14
Paderewski 1930   85  0.0186  0.0087  0.0385  0.0388  0.0286  0.02
Perlemuter 1992   50  0.2333  0.0048  0.0848  0.0868  0.0452  0.06
Pierdomenico 2008   78  0.0990  0.0081  0.0384  0.0385  0.0284  0.02
Poblocka 1999   18  0.3426  0.0026  0.0922  0.5138  0.2525  0.36
Rabcewiczowa 1932   45  0.2641  0.0034  0.0838  0.2431  0.3827  0.30
Rachmaninoff 1923   49  0.2367  0.0049  0.1146  0.1166  0.0450  0.07
Rangell 2001   10  0.357  0.047  0.1210  0.6114  0.4414  0.52
Richter 1976   66  0.1753  0.0071  0.0566  0.0553  0.0661  0.05
Rosen 1989   5  0.418  0.045  0.254  0.7125  0.499  0.59
Rosenthal 1930   27  0.3173  0.0020  0.0923  0.5017  0.4815  0.49
Rosenthal 1931   33  0.2945  0.0019  0.0920  0.5317  0.6111  0.57
Rosenthal 1931b   14  0.3421  0.0013  0.1112  0.6012  0.716  0.65
Rosenthal 1931c   46  0.2646  0.0042  0.0741  0.1938  0.2632  0.22
Rosenthal 1931d   38  0.2774  0.0035  0.1132  0.3718  0.5017  0.43
Rossi 2007   86  0.0050  0.0090  0.0289  0.0279  0.0383  0.02
Rubinstein 1939   20  0.3316  0.0124  0.0834  0.3629  0.2328  0.29
Rubinstein 1952   77  0.1044  0.0068  0.0377  0.0385  0.0290  0.02
Rubinstein 1966   30  0.319  0.0317  0.1026  0.4641  0.1131  0.22
Schilhawsky 1960   44  0.2637  0.0046  0.0657  0.0637  0.2742  0.13
Shebanova 2002   73  0.1378  0.0074  0.0564  0.0572  0.0565  0.05
Smith 1975   47  0.2568  0.0050  0.0849  0.0846  0.0847  0.08
Sokolov 2002   63  0.1838  0.0063  0.0470  0.0481  0.0274  0.03
Sztompka 1959   76  0.1159  0.0075  0.0468  0.0484  0.0376  0.03
Tomsic 1995   64  0.1848  0.0052  0.0850  0.0870  0.0454  0.06
Uninsky 1932   53  0.2165  0.0056  0.0654  0.0678  0.0464  0.05
Uninsky 1971   4  0.443  0.114  0.255  0.707  0.587  0.64
Wasowski 1980   81  0.0487  0.0084  0.0383  0.0381  0.0473  0.03
Zak 1937   16  0.3435  0.0023  0.0819  0.5333  0.3318  0.42
Zak 1951   19  0.3317  0.0125  0.0825  0.5028  0.3519  0.42
Average   3  0.444  0.073  0.201  0.7867  0.0433  0.18
Random 1   91  -0.1691  0.0091  0.0191  0.0191  0.0191  0.01
Random 2   84  0.0379  0.0082  0.0382  0.0335  0.1948  0.08
Random 3   90  -0.0561  0.0085  0.0387  0.0323  0.3345  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).