Ohlsson 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   43  0.3846  0.0063  0.0379  0.0332  0.2858  0.09
Anderszewski 2003   42  0.3851  0.0034  0.0637  0.2432  0.3637  0.29
Ashkenazy 1981   17  0.4517  0.0022  0.0815  0.4224  0.4719  0.44
Bacha 2000   74  0.3170  0.0057  0.0376  0.0322  0.3453  0.10
Badura 1965   56  0.3620  0.0025  0.0824  0.337  0.5720  0.43
Barbosa 1983   40  0.3961  0.0037  0.0539  0.2038  0.2140  0.20
Biret 1990   34  0.4163  0.0024  0.0719  0.3720  0.5615  0.46
Blet 2003   32  0.4136  0.0048  0.0549  0.0524  0.4344  0.15
Block 1995   41  0.3932  0.0017  0.0926  0.3227  0.4127  0.36
Blumental 1952   81  0.2688  0.0081  0.0459  0.0477  0.0481  0.04
Boshniakovich 1969   27  0.4264  0.0027  0.0922  0.3333  0.2835  0.30
Brailowsky 1960   75  0.3158  0.0073  0.0461  0.0447  0.0769  0.05
Bunin 1987   70  0.3349  0.0065  0.0378  0.0354  0.0684  0.04
Bunin 1987b   69  0.3382  0.0061  0.0381  0.0343  0.1863  0.07
Chiu 1999   10  0.4831  0.0013  0.1112  0.4810  0.5510  0.51
Cohen 1997   59  0.3638  0.0066  0.0468  0.0425  0.5146  0.14
Cortot 1951   73  0.3178  0.0078  0.0554  0.0539  0.1659  0.09
Csalog 1996   61  0.3665  0.0058  0.0380  0.0363  0.0578  0.04
Czerny 1949   62  0.3527  0.0052  0.0465  0.0435  0.3551  0.12
Czerny 1990   38  0.3959  0.0049  0.0647  0.0645  0.1261  0.08
Duchoud 2007   16  0.465  0.0214  0.1120  0.365  0.6811  0.49
Ezaki 2006   39  0.3923  0.0032  0.0642  0.1437  0.3739  0.23
Falvay 1989   66  0.3433  0.0067  0.0463  0.0477  0.0475  0.04
Farrell 1958   50  0.3780  0.0044  0.0643  0.1333  0.2142  0.17
Ferenczy 1958   88  0.1489  0.0088  0.0385  0.0365  0.0579  0.04
Fliere 1977   2  0.509  0.014  0.163  0.6626  0.456  0.54
Fou 1978   35  0.4118  0.0042  0.0641  0.1544  0.1247  0.13
Francois 1956   53  0.3715  0.0068  0.0558  0.0521  0.4645  0.15
Friedman 1923   22  0.4381  0.0028  0.0718  0.3913  0.6014  0.48
Friedman 1923b   28  0.4211  0.0029  0.0917  0.4114  0.5913  0.49
Friedman 1930   14  0.4619  0.0018  0.1013  0.4811  0.608  0.54
Garcia 2007   84  0.2586  0.0075  0.0471  0.0460  0.0580  0.04
Garcia 2007b   83  0.2679  0.0074  0.0382  0.0355  0.0587  0.04
Gierzod 1998   52  0.3783  0.0047  0.0648  0.0652  0.0766  0.06
Gornostaeva 1994   44  0.3852  0.0059  0.0377  0.0352  0.0685  0.04
Groot 1988   58  0.3684  0.0056  0.0556  0.0554  0.0571  0.05
Harasiewicz 1955   4  0.5043  0.008  0.146  0.5729  0.3617  0.45
Hatto 1993   13  0.4637  0.0011  0.1021  0.3629  0.3132  0.33
Hatto 1997   37  0.3966  0.0041  0.0740  0.1845  0.0850  0.12
Horowitz 1949   78  0.3053  0.0082  0.0551  0.0553  0.0570  0.05
Indjic 1988   21  0.4372  0.0019  0.1028  0.3032  0.2936  0.29
Kapell 1951   63  0.3574  0.0055  0.0466  0.0462  0.0576  0.04
Kissin 1993   36  0.4067  0.0040  0.0734  0.2634  0.4231  0.33
Kushner 1989   8  0.4840  0.0016  0.1110  0.5228  0.3321  0.41
Luisada 1991   48  0.3839  0.0060  0.0374  0.0354  0.0673  0.04
Lushtak 2004   45  0.3822  0.007  0.1327  0.3125  0.3729  0.34
Malcuzynski 1961   29  0.4271  0.0046  0.0846  0.0862  0.0565  0.06
Magaloff 1978   7  0.492  0.042  0.247  0.547  0.624  0.58
Magin 1975   19  0.4426  0.0031  0.0625  0.3221  0.4523  0.38
Michalowski 1933   76  0.3041  0.0077  0.0557  0.0533  0.2652  0.11
Milkina 1970   46  0.384  0.0321  0.0830  0.3035  0.3630  0.33
Mohovich 1999   68  0.3369  0.0071  0.0470  0.0475  0.0483  0.04
Moravec 1969   51  0.3775  0.0053  0.0462  0.0455  0.0668  0.05
Morozova 2008   26  0.4250  0.0026  0.0816  0.4121  0.4916  0.45
Neighaus 1950   12  0.477  0.0110  0.0923  0.3313  0.5022  0.41
Niedzielski 1931   47  0.3814  0.0023  0.0738  0.2319  0.3933  0.30
Ohlsson 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Osinska 1989   11  0.473  0.046  0.264  0.6217  0.563  0.59
Pachmann 1927   49  0.3725  0.0054  0.0467  0.0422  0.4548  0.13
Paderewski 1930   72  0.3268  0.0076  0.0372  0.0332  0.3556  0.10
Perlemuter 1992   31  0.4134  0.0045  0.0645  0.1211  0.5438  0.25
Pierdomenico 2008   57  0.3645  0.0050  0.0553  0.0516  0.5243  0.16
Poblocka 1999   64  0.3555  0.0070  0.0373  0.0372  0.0488  0.03
Rabcewiczowa 1932   79  0.2973  0.0080  0.0375  0.0368  0.0489  0.03
Rachmaninoff 1923   77  0.3042  0.0069  0.0464  0.0466  0.0474  0.04
Rangell 2001   67  0.3429  0.0072  0.0460  0.0445  0.1164  0.07
Richter 1976   3  0.5030  0.009  0.109  0.5320  0.567  0.54
Rosen 1989   9  0.4828  0.0012  0.1111  0.5012  0.4812  0.49
Rosenthal 1930   71  0.3276  0.0083  0.0555  0.0546  0.0767  0.06
Rosenthal 1931   85  0.2157  0.0085  0.0386  0.0354  0.0577  0.04
Rosenthal 1931b   86  0.1890  0.0087  0.0469  0.0478  0.0390  0.03
Rosenthal 1931c   80  0.2785  0.0084  0.0550  0.0551  0.0572  0.05
Rosenthal 1931d   87  0.1891  0.0086  0.0384  0.0362  0.0586  0.04
Rossi 2007   82  0.2662  0.0079  0.0387  0.0324  0.3654  0.10
Rubinstein 1939   24  0.4316  0.0033  0.0729  0.3023  0.3928  0.34
Rubinstein 1952   18  0.4513  0.0015  0.098  0.5324  0.529  0.52
Rubinstein 1966   25  0.4347  0.0035  0.0633  0.2861  0.0649  0.13
Schilhawsky 1960   54  0.3721  0.0064  0.0383  0.0326  0.3457  0.10
Shebanova 2002   5  0.506  0.025  0.215  0.6115  0.545  0.57
Smith 1975   55  0.3748  0.0062  0.0388  0.0338  0.1862  0.07
Sokolov 2002   15  0.4610  0.0130  0.0736  0.2511  0.5224  0.36
Sztompka 1959   23  0.438  0.0136  0.0535  0.2531  0.3734  0.30
Tomsic 1995   60  0.3624  0.0051  0.0552  0.0536  0.2055  0.10
Uninsky 1932   65  0.3454  0.0043  0.0644  0.1332  0.2541  0.18
Uninsky 1971   20  0.4344  0.0020  0.0914  0.4422  0.4518  0.44
Wasowski 1980   6  0.5012  0.003  0.172  0.693  0.661  0.67
Zak 1937   33  0.4160  0.0038  0.0731  0.2918  0.4525  0.36
Zak 1951   30  0.4256  0.0039  0.0932  0.2918  0.4426  0.36
Average   1  0.661  0.741  0.731  0.9023  0.442  0.63
Random 1   89  0.0077  0.0090  0.0190  0.0137  0.1882  0.04
Random 2   91  -0.0687  0.0091  0.0191  0.0184  0.0291  0.01
Random 3   90  -0.0135  0.0089  0.0289  0.0222  0.3060  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).