Brailowsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   26  0.3824  0.0026  0.1125  0.4928  0.3420  0.41
Anderszewski 2003   7  0.4510  0.019  0.164  0.7612  0.637  0.69
Ashkenazy 1981   77  0.2234  0.0077  0.0571  0.0575  0.0477  0.04
Bacha 2000   36  0.3469  0.0027  0.1329  0.3920  0.3921  0.39
Badura 1965   38  0.3427  0.0038  0.0538  0.1827  0.2926  0.23
Barbosa 1983   24  0.3839  0.0031  0.1031  0.3364  0.0633  0.14
Biret 1990   44  0.3240  0.0050  0.0659  0.0664  0.0466  0.05
Blet 2003   64  0.2761  0.0064  0.0567  0.0582  0.0375  0.04
Block 1995   10  0.4416  0.0010  0.1915  0.6318  0.5115  0.57
Blumental 1952   5  0.492  0.262  0.345  0.748  0.684  0.71
Boshniakovich 1969   39  0.3462  0.0032  0.1230  0.3575  0.0435  0.12
Brailowsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bunin 1987   66  0.2673  0.0075  0.0478  0.0488  0.0386  0.03
Bunin 1987b   71  0.2560  0.0076  0.0565  0.0568  0.0470  0.04
Chiu 1999   63  0.2767  0.0070  0.0655  0.0673  0.0455  0.05
Cohen 1997   55  0.2929  0.0046  0.0658  0.0643  0.2039  0.11
Cortot 1951   41  0.3321  0.0028  0.1133  0.2523  0.3924  0.31
Csalog 1996   53  0.3046  0.0066  0.0477  0.0477  0.0474  0.04
Czerny 1949   52  0.3044  0.0055  0.0564  0.0552  0.0663  0.05
Czerny 1990   59  0.2938  0.0048  0.0654  0.0666  0.0465  0.05
Duchoud 2007   85  0.1291  0.0085  0.0380  0.0387  0.0385  0.03
Ezaki 2006   4  0.494  0.055  0.227  0.7211  0.609  0.66
Falvay 1989   19  0.418  0.0224  0.1128  0.4042  0.1228  0.22
Farrell 1958   48  0.3165  0.0056  0.0657  0.0650  0.0648  0.06
Ferenczy 1958   12  0.439  0.0215  0.1117  0.632  0.793  0.71
Fliere 1977   8  0.4511  0.018  0.1710  0.6849  0.0727  0.22
Fou 1978   17  0.4230  0.0013  0.1311  0.6728  0.3518  0.48
Francois 1956   78  0.2283  0.0078  0.0566  0.0573  0.0379  0.04
Friedman 1923   43  0.3287  0.0042  0.0540  0.1549  0.0742  0.10
Friedman 1923b   45  0.3154  0.0041  0.0539  0.1746  0.0836  0.12
Friedman 1930   75  0.2488  0.0044  0.0644  0.1273  0.0446  0.07
Garcia 2007   81  0.2157  0.0080  0.0479  0.0476  0.0476  0.04
Garcia 2007b   82  0.1648  0.0083  0.0573  0.0582  0.0380  0.04
Gierzod 1998   11  0.4317  0.0011  0.158  0.7123  0.4016  0.53
Gornostaeva 1994   37  0.3463  0.0051  0.0563  0.0553  0.0664  0.05
Groot 1988   35  0.3545  0.0033  0.0832  0.2975  0.0440  0.11
Harasiewicz 1955   14  0.4333  0.0020  0.1513  0.6550  0.0629  0.20
Hatto 1993   61  0.2881  0.0072  0.0750  0.0765  0.0553  0.06
Hatto 1997   57  0.2984  0.0067  0.0568  0.0551  0.0561  0.05
Horowitz 1949   29  0.3618  0.0022  0.1921  0.5610  0.6014  0.58
Indjic 1988   76  0.2452  0.0073  0.0384  0.0374  0.0484  0.03
Kapell 1951   62  0.2768  0.0071  0.0652  0.0674  0.0457  0.05
Kissin 1993   83  0.1455  0.0084  0.0385  0.0386  0.0288  0.02
Kushner 1989   42  0.3266  0.0052  0.0846  0.0875  0.0449  0.06
Luisada 1991   32  0.3635  0.0039  0.0641  0.1546  0.0934  0.12
Lushtak 2004   25  0.3842  0.0030  0.1027  0.4035  0.1625  0.25
Malcuzynski 1961   58  0.2982  0.0060  0.0653  0.0684  0.0371  0.04
Magaloff 1978   18  0.4213  0.0023  0.1322  0.5538  0.1823  0.31
Magin 1975   79  0.2170  0.0082  0.0381  0.0385  0.0382  0.03
Michalowski 1933   84  0.1477  0.0079  0.0382  0.0383  0.0383  0.03
Milkina 1970   50  0.3158  0.0057  0.0656  0.0677  0.0369  0.04
Mohovich 1999   2  0.513  0.063  0.292  0.818  0.661  0.73
Moravec 1969   16  0.4212  0.0016  0.1323  0.5223  0.3319  0.41
Morozova 2008   47  0.3174  0.0034  0.0637  0.2179  0.0345  0.08
Neighaus 1950   60  0.2885  0.0043  0.0543  0.1363  0.0447  0.07
Niedzielski 1931   68  0.2686  0.0047  0.0660  0.0672  0.0456  0.05
Ohlsson 1999   49  0.3147  0.0053  0.0747  0.0761  0.0460  0.05
Osinska 1989   31  0.3649  0.0040  0.0742  0.1551  0.0543  0.09
Pachmann 1927   80  0.2172  0.0081  0.0574  0.0572  0.0472  0.04
Paderewski 1930   89  0.0078  0.0088  0.0288  0.0289  0.0190  0.01
Perlemuter 1992   74  0.2523  0.0068  0.0475  0.0455  0.0654  0.05
Pierdomenico 2008   86  0.0889  0.0087  0.0287  0.0288  0.0287  0.02
Poblocka 1999   3  0.496  0.044  0.273  0.776  0.645  0.70
Rabcewiczowa 1932   46  0.3175  0.0045  0.0645  0.1150  0.0644  0.08
Rachmaninoff 1923   15  0.4319  0.0012  0.1612  0.6615  0.5412  0.60
Rangell 2001   65  0.2680  0.0063  0.0572  0.0576  0.0378  0.04
Richter 1976   54  0.3043  0.0059  0.0562  0.0554  0.0659  0.05
Rosen 1989   20  0.4120  0.0017  0.1320  0.5835  0.1822  0.32
Rosenthal 1930   9  0.445  0.047  0.209  0.699  0.752  0.72
Rosenthal 1931   21  0.3932  0.0014  0.1616  0.636  0.786  0.70
Rosenthal 1931b   22  0.3915  0.0019  0.1218  0.586  0.778  0.67
Rosenthal 1931c   28  0.3725  0.0025  0.1024  0.5015  0.5417  0.52
Rosenthal 1931d   23  0.3950  0.0018  0.1019  0.587  0.7510  0.66
Rossi 2007   87  0.0441  0.0090  0.0190  0.0191  0.0189  0.01
Rubinstein 1939   34  0.3626  0.0035  0.0635  0.2243  0.0932  0.14
Rubinstein 1952   51  0.3031  0.0058  0.0748  0.0781  0.0367  0.05
Rubinstein 1966   27  0.3822  0.0029  0.1426  0.4048  0.0830  0.18
Schilhawsky 1960   40  0.3356  0.0049  0.0749  0.0749  0.0650  0.06
Shebanova 2002   69  0.2551  0.0069  0.0570  0.0564  0.0662  0.05
Smith 1975   13  0.4314  0.0021  0.1714  0.6415  0.5513  0.59
Sokolov 2002   72  0.2571  0.0074  0.0383  0.0378  0.0381  0.03
Sztompka 1959   70  0.2564  0.0062  0.0569  0.0581  0.0473  0.04
Tomsic 1995   73  0.2536  0.0061  0.0661  0.0676  0.0458  0.05
Uninsky 1932   56  0.2953  0.0054  0.0751  0.0753  0.0551  0.06
Uninsky 1971   6  0.467  0.026  0.206  0.7310  0.5811  0.65
Wasowski 1980   67  0.2659  0.0065  0.0476  0.0478  0.0468  0.04
Zak 1937   30  0.3628  0.0036  0.0734  0.2455  0.0537  0.11
Zak 1951   33  0.3637  0.0037  0.0836  0.2151  0.0541  0.10
Average   1  0.541  0.391  0.381  0.8567  0.0431  0.18
Random 1   91  -0.1190  0.0091  0.0191  0.0191  0.0191  0.01
Random 2   88  0.0379  0.0086  0.0386  0.0317  0.3938  0.11
Random 3   90  -0.0776  0.0089  0.0289  0.0237  0.1852  0.06

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).