Brailowsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   25  0.3825  0.0025  0.1124  0.4927  0.3420  0.41
Anderszewski 2003   6  0.4510  0.028  0.173  0.7611  0.637  0.69
Ashkenazy 1981   76  0.2236  0.0076  0.0570  0.0574  0.0476  0.04
Bacha 2000   35  0.3471  0.0026  0.1328  0.3919  0.3921  0.39
Badura 1965   37  0.3429  0.0037  0.0537  0.1826  0.2926  0.23
Barbosa 1983   23  0.3840  0.0030  0.1030  0.3363  0.0632  0.14
Biret 1990   43  0.3242  0.0049  0.0658  0.0663  0.0465  0.05
Blet 2003   63  0.2766  0.0063  0.0566  0.0581  0.0374  0.04
Block 1995   9  0.4417  0.009  0.1914  0.6317  0.5115  0.57
Blumental 1952   4  0.491  0.351  0.354  0.747  0.684  0.71
Boshniakovich 1969   38  0.3451  0.0031  0.1229  0.3574  0.0434  0.12
Brailowsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bunin 1987   65  0.2669  0.0074  0.0477  0.0487  0.0385  0.03
Bunin 1987b   70  0.2560  0.0075  0.0564  0.0567  0.0469  0.04
Chiu 1999   62  0.2768  0.0069  0.0654  0.0672  0.0456  0.05
Cohen 1997   54  0.2932  0.0045  0.0657  0.0642  0.2039  0.11
Cortot 1951   40  0.3322  0.0027  0.1232  0.2522  0.3924  0.31
Csalog 1996   52  0.3047  0.0065  0.0476  0.0476  0.0473  0.04
Czerny 1949   51  0.3045  0.0054  0.0563  0.0551  0.0662  0.05
Czerny 1990   58  0.2941  0.0047  0.0653  0.0665  0.0564  0.05
Duchoud 2007   84  0.1290  0.0084  0.0479  0.0486  0.0384  0.03
Ezaki 2006   3  0.493  0.134  0.226  0.7210  0.609  0.66
Falvay 1989   18  0.417  0.0223  0.1127  0.4041  0.1228  0.22
Farrell 1958   47  0.3163  0.0055  0.0656  0.0649  0.0747  0.06
Ferenczy 1958   11  0.4311  0.0214  0.1116  0.632  0.793  0.71
Fliere 1977   7  0.454  0.057  0.179  0.6848  0.0727  0.22
Fou 1978   16  0.4227  0.0012  0.1310  0.6727  0.3518  0.48
Francois 1956   77  0.2282  0.0077  0.0565  0.0572  0.0378  0.04
Friedman 1923   42  0.3287  0.0041  0.0639  0.1548  0.0741  0.10
Friedman 1923b   44  0.3157  0.0040  0.0538  0.1745  0.0835  0.12
Friedman 1930   74  0.2483  0.0043  0.0643  0.1272  0.0445  0.07
Garcia 2007   80  0.2161  0.0079  0.0478  0.0475  0.0475  0.04
Garcia 2007b   81  0.1653  0.0082  0.0572  0.0581  0.0379  0.04
Gierzod 1998   10  0.4313  0.0110  0.157  0.7122  0.4016  0.53
Gornostaeva 1994   36  0.3449  0.0050  0.0562  0.0552  0.0663  0.05
Groot 1988   34  0.3546  0.0032  0.0831  0.2974  0.0440  0.11
Harasiewicz 1955   13  0.4321  0.0019  0.1512  0.6549  0.0629  0.20
Hatto 1993   60  0.2880  0.0071  0.0749  0.0764  0.0554  0.06
Hatto 1997   56  0.2984  0.0066  0.0567  0.0550  0.0560  0.05
Horowitz 1949   28  0.3618  0.0021  0.1920  0.569  0.6014  0.58
Indjic 1988   75  0.2455  0.0072  0.0383  0.0373  0.0483  0.03
Kapell 1951   61  0.2739  0.0070  0.0651  0.0673  0.0458  0.05
Kissin 1993   82  0.1458  0.0083  0.0384  0.0385  0.0287  0.02
Kushner 1989   41  0.3267  0.0051  0.0845  0.0874  0.0448  0.06
Luisada 1991   31  0.3637  0.0038  0.0640  0.1545  0.0933  0.12
Lushtak 2004   24  0.3819  0.0029  0.1026  0.4034  0.1625  0.25
Malcuzynski 1961   57  0.2981  0.0059  0.0652  0.0683  0.0370  0.04
Magaloff 1978   17  0.4215  0.0022  0.1321  0.5537  0.1823  0.31
Magin 1975   78  0.2170  0.0081  0.0380  0.0384  0.0381  0.03
Michalowski 1933   83  0.1476  0.0078  0.0381  0.0382  0.0382  0.03
Milkina 1970   49  0.3162  0.0056  0.0655  0.0676  0.0368  0.04
Mohovich 1999   1  0.512  0.182  0.301  0.817  0.661  0.73
Moravec 1969   15  0.429  0.0215  0.1322  0.5222  0.3319  0.41
Morozova 2008   46  0.3144  0.0033  0.0636  0.2178  0.0344  0.08
Neighaus 1950   59  0.2885  0.0042  0.0542  0.1362  0.0446  0.07
Niedzielski 1931   67  0.2686  0.0046  0.0659  0.0671  0.0457  0.05
Ohlsson 1999   48  0.3150  0.0052  0.0846  0.0860  0.0450  0.06
Osinska 1989   30  0.3654  0.0039  0.0741  0.1550  0.0542  0.09
Pachmann 1927   79  0.2173  0.0080  0.0573  0.0571  0.0471  0.04
Paderewski 1930   88  0.0077  0.0087  0.0287  0.0288  0.0189  0.01
Perlemuter 1992   73  0.2524  0.0067  0.0474  0.0454  0.0655  0.05
Pierdomenico 2008   85  0.0888  0.0086  0.0286  0.0287  0.0286  0.02
Poblocka 1999   2  0.495  0.053  0.272  0.775  0.645  0.70
Rabcewiczowa 1932   45  0.3174  0.0044  0.0644  0.1149  0.0643  0.08
Rachmaninoff 1923   14  0.4320  0.0011  0.1711  0.6614  0.5412  0.60
Rangell 2001   64  0.2679  0.0062  0.0571  0.0575  0.0377  0.04
Richter 1976   53  0.3034  0.0058  0.0661  0.0653  0.0649  0.06
Rosen 1989   19  0.4112  0.0116  0.1319  0.5834  0.1822  0.32
Rosenthal 1930   8  0.446  0.056  0.208  0.698  0.752  0.72
Rosenthal 1931   20  0.3933  0.0013  0.1615  0.635  0.786  0.70
Rosenthal 1931b   21  0.3916  0.0018  0.1217  0.585  0.778  0.67
Rosenthal 1931c   27  0.3728  0.0024  0.1023  0.5014  0.5417  0.52
Rosenthal 1931d   22  0.3956  0.0017  0.1018  0.586  0.7510  0.66
Rossi 2007   86  0.0443  0.0089  0.0289  0.0290  0.0188  0.01
Rubinstein 1939   33  0.3626  0.0034  0.0634  0.2242  0.0931  0.14
Rubinstein 1952   50  0.3031  0.0057  0.0747  0.0780  0.0366  0.05
Rubinstein 1966   26  0.3823  0.0028  0.1425  0.4047  0.0830  0.18
Schilhawsky 1960   39  0.3359  0.0048  0.0748  0.0748  0.0651  0.06
Shebanova 2002   68  0.2552  0.0068  0.0569  0.0563  0.0661  0.05
Smith 1975   12  0.4314  0.0120  0.1713  0.6414  0.5513  0.59
Sokolov 2002   71  0.2572  0.0073  0.0382  0.0377  0.0380  0.03
Sztompka 1959   69  0.2564  0.0061  0.0568  0.0580  0.0472  0.04
Tomsic 1995   72  0.2538  0.0060  0.0660  0.0675  0.0459  0.05
Uninsky 1932   55  0.2948  0.0053  0.0750  0.0752  0.0552  0.06
Uninsky 1971   5  0.468  0.025  0.215  0.739  0.5811  0.65
Wasowski 1980   66  0.2665  0.0064  0.0475  0.0477  0.0467  0.04
Zak 1937   29  0.3630  0.0035  0.0733  0.2454  0.0536  0.11
Zak 1951   32  0.3635  0.0036  0.0835  0.2150  0.0637  0.11
Random 1   90  -0.1189  0.0090  0.0190  0.0190  0.0190  0.01
Random 2   87  0.0378  0.0085  0.0385  0.0316  0.3838  0.11
Random 3   89  -0.0775  0.0088  0.0288  0.0237  0.1653  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).