Brailowsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   42  0.4140  0.0045  0.0645  0.1227  0.3437  0.20
Anderszewski 2003   14  0.5514  0.0120  0.1115  0.5633  0.3421  0.44
Ashkenazy 1981   70  0.3143  0.0068  0.0476  0.0478  0.0381  0.03
Bacha 2000   59  0.3548  0.0051  0.0563  0.0562  0.0464  0.04
Badura 1965   62  0.3349  0.0071  0.0379  0.0363  0.0480  0.03
Barbosa 1983   9  0.5818  0.008  0.1713  0.6126  0.3819  0.48
Biret 1990   18  0.5241  0.0015  0.1414  0.5734  0.3422  0.44
Blet 2003   46  0.4026  0.0046  0.0652  0.0637  0.1651  0.10
Block 1995   13  0.5617  0.019  0.1612  0.628  0.658  0.63
Blumental 1952   1  0.652  0.202  0.361  0.762  0.761  0.76
Boshniakovich 1969   60  0.3570  0.0060  0.0658  0.0682  0.0372  0.04
Brailowsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bunin 1987   66  0.3274  0.0076  0.0474  0.0448  0.0662  0.05
Bunin 1987b   73  0.2960  0.0077  0.0475  0.0463  0.0567  0.04
Chiu 1999   63  0.3385  0.0067  0.0468  0.0471  0.0465  0.04
Cohen 1997   77  0.2735  0.0064  0.0473  0.0449  0.0573  0.04
Cortot 1951   71  0.3161  0.0047  0.0747  0.0744  0.2146  0.12
Csalog 1996   43  0.4171  0.0058  0.0662  0.0663  0.0558  0.05
Czerny 1949   61  0.3452  0.0065  0.0659  0.0681  0.0371  0.04
Czerny 1990   23  0.5116  0.0121  0.1020  0.5340  0.2525  0.36
Duchoud 2007   87  0.0676  0.0087  0.0187  0.0188  0.0291  0.01
Ezaki 2006   19  0.5215  0.0122  0.0928  0.4239  0.1831  0.27
Falvay 1989   6  0.6110  0.0110  0.178  0.6929  0.4714  0.57
Farrell 1958   72  0.3156  0.0070  0.0380  0.0374  0.0476  0.03
Ferenczy 1958   20  0.529  0.0119  0.1319  0.535  0.6912  0.60
Fliere 1977   4  0.623  0.135  0.335  0.729  0.597  0.65
Fou 1978   17  0.5246  0.0026  0.1023  0.4926  0.3324  0.40
Francois 1956   80  0.2286  0.0080  0.0660  0.0676  0.0374  0.04
Friedman 1923   56  0.3751  0.0049  0.0565  0.0524  0.4043  0.14
Friedman 1923b   58  0.3658  0.0050  0.0651  0.0629  0.3641  0.15
Friedman 1930   68  0.3287  0.0055  0.0750  0.0740  0.2044  0.12
Garcia 2007   83  0.1477  0.0084  0.0383  0.0386  0.0284  0.02
Garcia 2007b   76  0.2844  0.0073  0.0378  0.0374  0.0482  0.03
Gierzod 1998   33  0.4850  0.0028  0.1127  0.4548  0.0838  0.19
Gornostaeva 1994   47  0.4078  0.0061  0.0846  0.0853  0.0555  0.06
Groot 1988   16  0.5430  0.0014  0.2011  0.639  0.5313  0.58
Harasiewicz 1955   31  0.4921  0.0034  0.0833  0.3849  0.0739  0.16
Hatto 1993   21  0.5136  0.0029  0.1131  0.4035  0.2528  0.32
Hatto 1997   27  0.5079  0.0035  0.0836  0.3340  0.2132  0.26
Horowitz 1949   29  0.496  0.0512  0.2216  0.552  0.6611  0.60
Indjic 1988   26  0.5053  0.0036  0.1135  0.3341  0.1734  0.24
Kapell 1951   44  0.4122  0.0052  0.0657  0.0659  0.0654  0.06
Kissin 1993   67  0.3262  0.0075  0.0472  0.0473  0.0470  0.04
Kushner 1989   40  0.4380  0.0042  0.0640  0.2359  0.0549  0.11
Luisada 1991   8  0.588  0.0211  0.229  0.662  0.735  0.69
Lushtak 2004   24  0.5012  0.0130  0.0930  0.4240  0.2330  0.31
Malcuzynski 1961   51  0.3957  0.0057  0.0656  0.0673  0.0368  0.04
Magaloff 1978   11  0.5725  0.0016  0.1318  0.5412  0.5417  0.54
Magin 1975   36  0.4637  0.0031  0.0837  0.2937  0.1936  0.23
Michalowski 1933   82  0.1481  0.0081  0.0384  0.0376  0.0378  0.03
Milkina 1970   34  0.4833  0.0037  0.1234  0.3456  0.0642  0.14
Mohovich 1999   12  0.5713  0.0113  0.1710  0.6420  0.5015  0.57
Moravec 1969   15  0.5420  0.0023  0.0922  0.4922  0.4220  0.45
Morozova 2008   75  0.2888  0.0074  0.0469  0.0478  0.0379  0.03
Neighaus 1950   79  0.2565  0.0069  0.0566  0.0548  0.0663  0.05
Niedzielski 1931   64  0.3339  0.0041  0.0744  0.1314  0.4135  0.23
Ohlsson 1999   74  0.2866  0.0078  0.0653  0.0685  0.0277  0.03
Osinska 1989   38  0.4423  0.0038  0.0839  0.2363  0.0547  0.11
Pachmann 1927   84  0.1163  0.0085  0.0286  0.0290  0.0190  0.01
Paderewski 1930   89  0.0054  0.0086  0.0285  0.0285  0.0283  0.02
Perlemuter 1992   78  0.2629  0.0079  0.0748  0.0776  0.0356  0.05
Pierdomenico 2008   86  0.0682  0.0089  0.0189  0.0189  0.0189  0.01
Poblocka 1999   2  0.651  0.221  0.223  0.748  0.646  0.69
Rabcewiczowa 1932   57  0.3767  0.0040  0.0742  0.1946  0.0648  0.11
Rachmaninoff 1923   5  0.625  0.093  0.316  0.712  0.743  0.72
Rangell 2001   81  0.1847  0.0083  0.0382  0.0387  0.0287  0.02
Richter 1976   41  0.4372  0.0044  0.0743  0.1543  0.1640  0.15
Rosen 1989   45  0.4068  0.0053  0.0661  0.0667  0.0461  0.05
Rosenthal 1930   10  0.5811  0.017  0.207  0.695  0.802  0.74
Rosenthal 1931   28  0.4919  0.0018  0.1217  0.545  0.719  0.62
Rosenthal 1931b   39  0.4431  0.0032  0.0732  0.396  0.6318  0.50
Rosenthal 1931c   30  0.4942  0.0024  0.1026  0.478  0.6416  0.55
Rosenthal 1931d   25  0.5055  0.0017  0.1021  0.525  0.7410  0.62
Rossi 2007   85  0.0789  0.0088  0.0188  0.0190  0.0188  0.01
Rubinstein 1939   53  0.3834  0.0059  0.0654  0.0644  0.0953  0.07
Rubinstein 1952   22  0.5124  0.0027  0.1125  0.4736  0.2527  0.34
Rubinstein 1966   37  0.4532  0.0043  0.0841  0.1970  0.0452  0.09
Schilhawsky 1960   48  0.4075  0.0048  0.0564  0.0554  0.0559  0.05
Shebanova 2002   54  0.3827  0.0056  0.0655  0.0668  0.0460  0.05
Smith 1975   7  0.617  0.036  0.174  0.732  0.724  0.72
Sokolov 2002   65  0.3283  0.0066  0.0471  0.0465  0.0375  0.03
Sztompka 1959   49  0.3945  0.0039  0.0638  0.2538  0.2333  0.24
Tomsic 1995   69  0.3273  0.0072  0.0477  0.0459  0.0657  0.05
Uninsky 1932   55  0.3790  0.0054  0.0749  0.0738  0.2245  0.12
Uninsky 1971   32  0.4959  0.0025  0.0924  0.4835  0.3523  0.41
Wasowski 1980   35  0.4738  0.0033  0.0729  0.4238  0.2329  0.31
Zak 1937   50  0.3984  0.0062  0.0470  0.0463  0.0466  0.04
Zak 1951   52  0.3928  0.0063  0.0567  0.0566  0.0469  0.04
Average   3  0.634  0.124  0.232  0.7544  0.1526  0.34
Random 1   90  -0.0769  0.0090  0.0190  0.0158  0.0485  0.02
Random 2   88  0.0464  0.0082  0.0381  0.0314  0.3950  0.11
Random 3   91  -0.0991  0.0091  0.0191  0.0161  0.0386  0.02

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).