Brailowsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   38  0.6164  0.0053  0.0372  0.0380  0.0380  0.03
Anderszewski 2003   2  0.7511  0.0311  0.1220  0.3443  0.1516  0.23
Ashkenazy 1981   43  0.5929  0.0034  0.0734  0.2149  0.0535  0.10
Bacha 2000   4  0.7441  0.0015  0.1111  0.4318  0.307  0.36
Badura 1965   74  0.4660  0.0088  0.0464  0.0484  0.0283  0.03
Barbosa 1983   37  0.614  0.073  0.114  0.532  0.601  0.56
Biret 1990   11  0.7022  0.0018  0.0819  0.3545  0.0822  0.17
Blet 2003   50  0.5738  0.0068  0.0468  0.0466  0.0464  0.04
Block 1995   51  0.566  0.069  0.1126  0.2826  0.2115  0.24
Blumental 1952   36  0.625  0.0617  0.0816  0.3858  0.0431  0.12
Boshniakovich 1969   65  0.5383  0.0074  0.0378  0.0377  0.0384  0.03
Brailowsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bunin 1987   87  0.3086  0.0085  0.0385  0.0358  0.0569  0.04
Bunin 1987b   88  0.2872  0.0084  0.0386  0.0359  0.0563  0.04
Chiu 1999   5  0.738  0.052  0.118  0.518  0.414  0.46
Cohen 1997   77  0.4555  0.0083  0.0287  0.0251  0.0585  0.03
Cortot 1951   44  0.5987  0.0062  0.0550  0.0578  0.0370  0.04
Csalog 1996   85  0.3561  0.0066  0.0466  0.0469  0.0377  0.03
Czerny 1949   63  0.5342  0.0079  0.0452  0.0481  0.0379  0.03
Czerny 1990   19  0.6884  0.0026  0.0724  0.3065  0.0339  0.09
Duchoud 2007   79  0.4434  0.0076  0.0374  0.0365  0.0481  0.03
Ezaki 2006   6  0.7315  0.0113  0.096  0.5241  0.1214  0.25
Falvay 1989   22  0.6730  0.0024  0.0830  0.2415  0.5110  0.35
Farrell 1958   21  0.6757  0.0014  0.119  0.4631  0.289  0.36
Ferenczy 1958   40  0.6139  0.0060  0.0459  0.0463  0.0466  0.04
Fliere 1977   15  0.692  0.098  0.1112  0.4356  0.0523  0.15
Fou 1978   41  0.6065  0.0051  0.0465  0.0467  0.0462  0.04
Francois 1956   31  0.6446  0.0057  0.0549  0.0554  0.0560  0.05
Friedman 1923   27  0.6548  0.0041  0.0541  0.1355  0.0551  0.08
Friedman 1923b   33  0.6427  0.0043  0.0444  0.1273  0.0454  0.07
Friedman 1930   20  0.6740  0.0045  0.0545  0.0947  0.0747  0.08
Garcia 2007   52  0.5576  0.0058  0.0471  0.0475  0.0382  0.03
Garcia 2007b   48  0.5821  0.0140  0.0643  0.1254  0.0550  0.08
Gierzod 1998   54  0.5568  0.0063  0.0377  0.0387  0.0290  0.02
Gornostaeva 1994   18  0.6818  0.0125  0.0727  0.2732  0.2017  0.23
Groot 1988   17  0.683  0.084  0.147  0.5214  0.443  0.48
Harasiewicz 1955   29  0.6558  0.0046  0.0551  0.0568  0.0471  0.04
Hatto 1993   69  0.5189  0.0071  0.0380  0.0368  0.0486  0.03
Hatto 1997   58  0.5490  0.0073  0.0462  0.0470  0.0465  0.04
Horowitz 1949   62  0.5310  0.0450  0.0463  0.0456  0.0658  0.05
Indjic 1988   57  0.5491  0.0072  0.0375  0.0380  0.0476  0.03
Kapell 1951   55  0.5514  0.0122  0.1018  0.3662  0.0429  0.12
Kissin 1993   68  0.5270  0.0064  0.0381  0.0382  0.0374  0.03
Kushner 1989   26  0.6678  0.0038  0.0736  0.2167  0.0438  0.09
Luisada 1991   13  0.697  0.055  0.121  0.6534  0.208  0.36
Lushtak 2004   28  0.6513  0.0121  0.1017  0.3746  0.0821  0.17
Malcuzynski 1961   73  0.4666  0.0077  0.0460  0.0447  0.0657  0.05
Magaloff 1978   10  0.7149  0.0016  0.0913  0.4016  0.376  0.38
Magin 1975   59  0.5328  0.0027  0.0929  0.2579  0.0337  0.09
Michalowski 1933   70  0.5147  0.0081  0.0373  0.0379  0.0373  0.03
Milkina 1970   12  0.7079  0.0031  0.0623  0.3171  0.0334  0.10
Mohovich 1999   3  0.7516  0.017  0.125  0.5233  0.305  0.39
Moravec 1969   67  0.5332  0.0049  0.0458  0.0427  0.3426  0.12
Morozova 2008   53  0.5573  0.0047  0.0646  0.0651  0.0559  0.05
Neighaus 1950   16  0.6831  0.0042  0.0539  0.1548  0.0736  0.10
Niedzielski 1931   42  0.6012  0.0236  0.0831  0.2377  0.0342  0.08
Ohlsson 1999   34  0.6351  0.0039  0.0640  0.1463  0.0453  0.07
Osinska 1989   8  0.7243  0.0012  0.1314  0.4078  0.0424  0.13
Pachmann 1927   46  0.5852  0.0086  0.0288  0.0276  0.0388  0.02
Paderewski 1930   49  0.5763  0.0080  0.0376  0.0387  0.0287  0.02
Perlemuter 1992   25  0.6625  0.0029  0.0537  0.1854  0.0440  0.08
Pierdomenico 2008   82  0.4177  0.0059  0.0470  0.0441  0.1541  0.08
Poblocka 1999   81  0.4224  0.0075  0.0455  0.0476  0.0461  0.04
Rabcewiczowa 1932   35  0.6371  0.0030  0.0538  0.1759  0.0443  0.08
Rachmaninoff 1923   9  0.7119  0.0119  0.0910  0.4544  0.0819  0.19
Rangell 2001   83  0.4180  0.0061  0.0457  0.0445  0.0955  0.06
Richter 1976   86  0.3335  0.0087  0.0384  0.0375  0.0372  0.03
Rosen 1989   24  0.6626  0.0010  0.1115  0.3933  0.1913  0.27
Rosenthal 1930   75  0.4637  0.0070  0.0467  0.0460  0.0468  0.04
Rosenthal 1931   61  0.5345  0.0054  0.0469  0.0419  0.3930  0.12
Rosenthal 1931b   64  0.5353  0.0055  0.0548  0.0520  0.3425  0.13
Rosenthal 1931c   76  0.4662  0.0069  0.0453  0.0439  0.1649  0.08
Rosenthal 1931d   60  0.5367  0.0052  0.0456  0.0417  0.3832  0.12
Rossi 2007   23  0.6688  0.0056  0.0454  0.0419  0.3528  0.12
Rubinstein 1939   47  0.5820  0.0137  0.0735  0.2137  0.1620  0.18
Rubinstein 1952   80  0.4417  0.0120  0.1021  0.3335  0.3311  0.33
Rubinstein 1966   14  0.6981  0.0023  0.0725  0.2832  0.2912  0.28
Schilhawsky 1960   78  0.4523  0.0078  0.0382  0.0379  0.0378  0.03
Shebanova 2002   30  0.6544  0.0032  0.0722  0.3171  0.0433  0.11
Smith 1975   7  0.721  0.251  0.243  0.635  0.472  0.54
Sokolov 2002   72  0.4985  0.0048  0.0647  0.0655  0.0456  0.05
Sztompka 1959   32  0.6433  0.0044  0.0542  0.1270  0.0452  0.07
Tomsic 1995   71  0.4956  0.0065  0.0383  0.0335  0.2446  0.08
Uninsky 1932   66  0.5336  0.0067  0.0461  0.0473  0.0467  0.04
Uninsky 1971   84  0.3754  0.0082  0.0379  0.0380  0.0475  0.03
Wasowski 1980   39  0.6150  0.0028  0.0528  0.2557  0.0627  0.12
Zak 1937   45  0.5969  0.0033  0.0732  0.2380  0.0344  0.08
Zak 1951   56  0.5582  0.0035  0.0733  0.2286  0.0345  0.08
Average   1  0.779  0.046  0.142  0.6550  0.0618  0.20
Random 1   91  -0.3674  0.0091  0.0191  0.0191  0.0191  0.01
Random 2   90  -0.1675  0.0090  0.0190  0.0177  0.0389  0.02
Random 3   89  -0.0959  0.0089  0.0289  0.0226  0.3048  0.08

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).