Ohlsson 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   13  0.7141  0.0013  0.1214  0.4316  0.4315  0.43
Anderszewski 2003   12  0.7159  0.0019  0.0722  0.3314  0.4121  0.37
Ashkenazy 1981   6  0.7723  0.014  0.234  0.571  0.594  0.58
Bacha 2000   34  0.6465  0.0041  0.0441  0.109  0.4534  0.21
Badura 1965   49  0.5978  0.0039  0.0537  0.1621  0.3633  0.24
Barbosa 1983   67  0.5133  0.0055  0.0546  0.0518  0.3144  0.12
Biret 1990   8  0.7346  0.0015  0.1319  0.397  0.4616  0.42
Blet 2003   45  0.6060  0.0054  0.0458  0.0441  0.1070  0.06
Block 1995   80  0.4477  0.0080  0.0384  0.0357  0.0487  0.03
Blumental 1952   76  0.4771  0.0076  0.0385  0.0352  0.0488  0.03
Boshniakovich 1969   36  0.6368  0.0051  0.0465  0.0449  0.0675  0.05
Brailowsky 1960   40  0.6152  0.0062  0.0471  0.0443  0.1164  0.07
Bunin 1987   58  0.5753  0.0066  0.0548  0.0530  0.3045  0.12
Bunin 1987b   60  0.5619  0.0165  0.0457  0.0426  0.3348  0.11
Chiu 1999   59  0.5629  0.0028  0.0529  0.2613  0.4722  0.35
Cohen 1997   86  0.3928  0.0082  0.0459  0.0458  0.0480  0.04
Cortot 1951   47  0.5974  0.0053  0.0555  0.0537  0.1855  0.09
Csalog 1996   77  0.4616  0.0142  0.0543  0.0923  0.3038  0.16
Czerny 1949   30  0.6567  0.0032  0.0725  0.2932  0.2530  0.27
Czerny 1990   17  0.6813  0.0135  0.0735  0.1744  0.0846  0.12
Duchoud 2007   1  0.802  0.212  0.302  0.621  0.731  0.67
Ezaki 2006   11  0.7149  0.0024  0.0924  0.2925  0.3126  0.30
Falvay 1989   70  0.5010  0.0257  0.0466  0.0449  0.0773  0.05
Farrell 1958   32  0.6515  0.0152  0.0554  0.0541  0.1166  0.07
Ferenczy 1958   63  0.5461  0.0071  0.0469  0.0443  0.0774  0.05
Fliere 1977   3  0.7920  0.016  0.167  0.5211  0.489  0.50
Fou 1978   54  0.5748  0.0027  0.0540  0.1436  0.1442  0.14
Francois 1956   41  0.6162  0.0048  0.0545  0.0541  0.1362  0.08
Friedman 1923   82  0.4379  0.0078  0.0378  0.0333  0.2463  0.08
Friedman 1923b   81  0.4480  0.0077  0.0381  0.0333  0.2554  0.09
Friedman 1930   69  0.5058  0.0072  0.0472  0.0432  0.2453  0.10
Garcia 2007   62  0.5470  0.0061  0.0467  0.0430  0.2950  0.11
Garcia 2007b   72  0.4985  0.0067  0.0460  0.0426  0.1957  0.09
Gierzod 1998   2  0.793  0.073  0.193  0.613  0.623  0.61
Gornostaeva 1994   31  0.6525  0.0045  0.0462  0.0436  0.1761  0.08
Groot 1988   55  0.579  0.0250  0.0552  0.0570  0.0482  0.04
Harasiewicz 1955   64  0.5432  0.0038  0.0638  0.1550  0.0556  0.09
Hatto 1993   25  0.6784  0.0012  0.1013  0.444  0.628  0.52
Hatto 1997   15  0.6954  0.0010  0.0910  0.444  0.5711  0.50
Horowitz 1949   56  0.5766  0.0059  0.0473  0.0434  0.3249  0.11
Indjic 1988   18  0.6818  0.019  0.109  0.453  0.636  0.53
Kapell 1951   21  0.6855  0.0020  0.0715  0.4021  0.3420  0.37
Kissin 1993   38  0.6251  0.0023  0.0823  0.3322  0.3225  0.32
Kushner 1989   9  0.7236  0.0014  0.0916  0.409  0.4914  0.44
Luisada 1991   16  0.6839  0.0017  0.1312  0.4417  0.4613  0.45
Lushtak 2004   20  0.6821  0.0111  0.0921  0.3810  0.4119  0.39
Malcuzynski 1961   46  0.5945  0.0063  0.0377  0.0346  0.0678  0.04
Magaloff 1978   39  0.6235  0.0056  0.0463  0.0464  0.0476  0.04
Magin 1975   23  0.678  0.0216  0.1011  0.445  0.5012  0.47
Michalowski 1933   48  0.5976  0.0031  0.0728  0.2617  0.4124  0.33
Milkina 1970   28  0.6681  0.0037  0.0636  0.1735  0.1736  0.17
Mohovich 1999   22  0.6727  0.0040  0.0539  0.1536  0.2037  0.17
Moravec 1969   79  0.4573  0.0081  0.0379  0.0359  0.0483  0.03
Morozova 2008   37  0.6347  0.0029  0.0531  0.2523  0.2432  0.24
Neighaus 1950   4  0.784  0.058  0.196  0.548  0.507  0.52
Niedzielski 1931   50  0.5831  0.0060  0.0376  0.0330  0.2458  0.08
Ohlsson 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Osinska 1989   24  0.6714  0.0136  0.0932  0.2434  0.1935  0.21
Pachmann 1927   74  0.4842  0.0074  0.0470  0.0443  0.1069  0.06
Paderewski 1930   52  0.5850  0.0075  0.0468  0.0455  0.0479  0.04
Perlemuter 1992   65  0.5472  0.0064  0.0374  0.0372  0.0384  0.03
Pierdomenico 2008   57  0.5757  0.0047  0.0551  0.0516  0.4241  0.14
Poblocka 1999   10  0.715  0.055  0.185  0.545  0.525  0.53
Rabcewiczowa 1932   53  0.5844  0.0069  0.0464  0.0465  0.0477  0.04
Rachmaninoff 1923   42  0.6134  0.0044  0.0444  0.0835  0.1647  0.11
Rangell 2001   44  0.6038  0.0046  0.0547  0.0511  0.4439  0.15
Richter 1976   73  0.4964  0.0070  0.0461  0.0430  0.2652  0.10
Rosen 1989   19  0.6843  0.0034  0.0630  0.2521  0.3428  0.29
Rosenthal 1930   68  0.5182  0.0079  0.0375  0.0341  0.1271  0.06
Rosenthal 1931   84  0.4187  0.0085  0.0387  0.0349  0.0486  0.03
Rosenthal 1931b   85  0.4086  0.0086  0.0380  0.0359  0.0489  0.03
Rosenthal 1931c   71  0.5011  0.0283  0.0553  0.0542  0.0968  0.07
Rosenthal 1931d   83  0.4388  0.0084  0.0386  0.0354  0.0581  0.04
Rossi 2007   87  0.2969  0.0087  0.0383  0.0368  0.0485  0.03
Rubinstein 1939   75  0.4824  0.0173  0.0382  0.0340  0.1765  0.07
Rubinstein 1952   78  0.4630  0.0049  0.0549  0.0549  0.0772  0.06
Rubinstein 1966   43  0.6122  0.0158  0.0550  0.0543  0.1459  0.08
Schilhawsky 1960   29  0.6640  0.0021  0.0817  0.3916  0.4418  0.41
Shebanova 2002   5  0.781  0.281  0.281  0.633  0.612  0.62
Smith 1975   26  0.6626  0.0033  0.0534  0.1738  0.1240  0.14
Sokolov 2002   7  0.766  0.047  0.168  0.452  0.5510  0.50
Sztompka 1959   14  0.7056  0.0026  0.0627  0.2633  0.2731  0.26
Tomsic 1995   61  0.5563  0.0068  0.0556  0.0544  0.0967  0.07
Uninsky 1932   66  0.5483  0.0043  0.0442  0.1039  0.1943  0.14
Uninsky 1971   51  0.587  0.0325  0.0626  0.2727  0.3427  0.30
Wasowski 1980   35  0.6437  0.0030  0.0633  0.2012  0.3829  0.28
Zak 1937   27  0.6612  0.0122  0.0820  0.3916  0.4317  0.41
Zak 1951   33  0.6417  0.0118  0.0818  0.3923  0.3023  0.34
Random 1   90  -0.1489  0.0090  0.0190  0.0145  0.0690  0.02
Random 2   89  -0.0275  0.0089  0.0289  0.0212  0.3460  0.08
Random 3   88  0.1190  0.0088  0.0288  0.023  0.6051  0.11

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).