Ohlsson 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   42  0.3846  0.0062  0.0378  0.0331  0.2857  0.09
Anderszewski 2003   41  0.3848  0.0033  0.0736  0.2431  0.3636  0.29
Ashkenazy 1981   16  0.4519  0.0121  0.0814  0.4223  0.4718  0.44
Bacha 2000   73  0.3170  0.0056  0.0375  0.0321  0.3453  0.10
Badura 1965   55  0.3622  0.0024  0.0823  0.336  0.5719  0.43
Barbosa 1983   39  0.3962  0.0036  0.0538  0.2037  0.2139  0.20
Biret 1990   33  0.4164  0.0023  0.0718  0.3719  0.5614  0.46
Blet 2003   31  0.4137  0.0047  0.0548  0.0523  0.4343  0.15
Block 1995   40  0.3927  0.0016  0.0925  0.3226  0.4126  0.36
Blumental 1952   80  0.2687  0.0080  0.0458  0.0476  0.0481  0.04
Boshniakovich 1969   26  0.4263  0.0026  0.0921  0.3332  0.2834  0.30
Brailowsky 1960   74  0.3159  0.0072  0.0460  0.0446  0.0864  0.06
Bunin 1987   69  0.3351  0.0064  0.0377  0.0353  0.0684  0.04
Bunin 1987b   68  0.3381  0.0060  0.0380  0.0342  0.1861  0.07
Chiu 1999   9  0.4829  0.0012  0.1211  0.489  0.559  0.51
Cohen 1997   58  0.3641  0.0065  0.0467  0.0424  0.5145  0.14
Cortot 1951   72  0.3177  0.0077  0.0553  0.0538  0.1658  0.09
Csalog 1996   60  0.3666  0.0057  0.0379  0.0362  0.0578  0.04
Czerny 1949   61  0.3533  0.0051  0.0464  0.0434  0.3551  0.12
Czerny 1990   37  0.3961  0.0048  0.0646  0.0644  0.1259  0.08
Duchoud 2007   15  0.468  0.0313  0.1119  0.364  0.6810  0.49
Ezaki 2006   38  0.3925  0.0031  0.0641  0.1436  0.3738  0.23
Falvay 1989   65  0.3435  0.0066  0.0462  0.0476  0.0475  0.04
Farrell 1958   49  0.3779  0.0043  0.0642  0.1332  0.2141  0.17
Ferenczy 1958   87  0.1488  0.0087  0.0384  0.0364  0.0579  0.04
Fliere 1977   1  0.506  0.063  0.162  0.6625  0.455  0.54
Fou 1978   34  0.4120  0.0041  0.0640  0.1543  0.1246  0.13
Francois 1956   52  0.3717  0.0167  0.0557  0.0520  0.4644  0.15
Friedman 1923   21  0.4380  0.0027  0.0717  0.3912  0.6013  0.48
Friedman 1923b   27  0.4215  0.0128  0.1016  0.4113  0.5912  0.49
Friedman 1930   13  0.4623  0.0017  0.1112  0.4810  0.607  0.54
Garcia 2007   83  0.2585  0.0074  0.0470  0.0459  0.0580  0.04
Garcia 2007b   82  0.2678  0.0073  0.0381  0.0354  0.0587  0.04
Gierzod 1998   51  0.3782  0.0046  0.0647  0.0651  0.0766  0.06
Gornostaeva 1994   43  0.3852  0.0058  0.0376  0.0351  0.0685  0.04
Groot 1988   57  0.3683  0.0055  0.0555  0.0553  0.0570  0.05
Harasiewicz 1955   3  0.5028  0.007  0.145  0.5728  0.3616  0.45
Hatto 1993   12  0.469  0.0210  0.1020  0.3628  0.3131  0.33
Hatto 1997   36  0.3968  0.0040  0.0739  0.1844  0.0850  0.12
Horowitz 1949   77  0.3040  0.0081  0.0550  0.0552  0.0669  0.05
Indjic 1988   20  0.4369  0.0018  0.1027  0.3031  0.2935  0.29
Kapell 1951   62  0.3572  0.0054  0.0465  0.0461  0.0576  0.04
Kissin 1993   35  0.4055  0.0039  0.0733  0.2633  0.4230  0.33
Kushner 1989   7  0.4839  0.0015  0.119  0.5227  0.3320  0.41
Luisada 1991   47  0.3842  0.0059  0.0373  0.0353  0.0672  0.04
Lushtak 2004   44  0.3814  0.016  0.1326  0.3124  0.3728  0.34
Malcuzynski 1961   28  0.4273  0.0045  0.0845  0.0861  0.0565  0.06
Magaloff 1978   6  0.491  0.241  0.246  0.546  0.623  0.58
Magin 1975   18  0.4432  0.0030  0.0624  0.3220  0.4522  0.38
Michalowski 1933   75  0.3043  0.0076  0.0556  0.0532  0.2652  0.11
Milkina 1970   45  0.387  0.0520  0.0829  0.3034  0.3629  0.33
Mohovich 1999   67  0.3356  0.0070  0.0469  0.0474  0.0483  0.04
Moravec 1969   50  0.3771  0.0052  0.0461  0.0454  0.0668  0.05
Morozova 2008   25  0.4249  0.0025  0.0815  0.4120  0.4915  0.45
Neighaus 1950   11  0.475  0.099  0.0922  0.3312  0.5021  0.41
Niedzielski 1931   46  0.3818  0.0122  0.0837  0.2318  0.3932  0.30
Ohlsson 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Osinska 1989   10  0.474  0.105  0.263  0.6216  0.562  0.59
Pachmann 1927   48  0.3726  0.0053  0.0466  0.0421  0.4547  0.13
Paderewski 1930   71  0.3267  0.0075  0.0471  0.0431  0.3549  0.12
Perlemuter 1992   30  0.4136  0.0044  0.0644  0.1210  0.5437  0.25
Pierdomenico 2008   56  0.3644  0.0049  0.0552  0.0515  0.5242  0.16
Poblocka 1999   63  0.3554  0.0069  0.0472  0.0471  0.0473  0.04
Rabcewiczowa 1932   78  0.2974  0.0079  0.0374  0.0367  0.0488  0.03
Rachmaninoff 1923   76  0.3034  0.0068  0.0463  0.0465  0.0474  0.04
Rangell 2001   66  0.3431  0.0071  0.0459  0.0444  0.1163  0.07
Richter 1976   2  0.5011  0.028  0.108  0.5319  0.566  0.54
Rosen 1989   8  0.4812  0.0111  0.1110  0.5011  0.4811  0.49
Rosenthal 1930   70  0.3275  0.0082  0.0554  0.0545  0.0767  0.06
Rosenthal 1931   84  0.2158  0.0084  0.0385  0.0353  0.0577  0.04
Rosenthal 1931b   85  0.1889  0.0086  0.0468  0.0477  0.0389  0.03
Rosenthal 1931c   79  0.2784  0.0083  0.0549  0.0550  0.0671  0.05
Rosenthal 1931d   86  0.1890  0.0085  0.0383  0.0361  0.0586  0.04
Rossi 2007   81  0.2665  0.0078  0.0386  0.0323  0.3654  0.10
Rubinstein 1939   23  0.4321  0.0032  0.0728  0.3022  0.3927  0.34
Rubinstein 1952   17  0.4516  0.0114  0.097  0.5323  0.528  0.52
Rubinstein 1966   24  0.4345  0.0034  0.0632  0.2860  0.0648  0.13
Schilhawsky 1960   53  0.3724  0.0063  0.0382  0.0325  0.3456  0.10
Shebanova 2002   4  0.503  0.114  0.224  0.6114  0.544  0.57
Smith 1975   54  0.3750  0.0061  0.0387  0.0337  0.1860  0.07
Sokolov 2002   14  0.4610  0.0229  0.0735  0.2510  0.5223  0.36
Sztompka 1959   22  0.4313  0.0135  0.0534  0.2530  0.3733  0.30
Tomsic 1995   59  0.3630  0.0050  0.0551  0.0535  0.2055  0.10
Uninsky 1932   64  0.3453  0.0042  0.0643  0.1331  0.2540  0.18
Uninsky 1971   19  0.4347  0.0019  0.0913  0.4421  0.4517  0.44
Wasowski 1980   5  0.502  0.122  0.171  0.692  0.661  0.67
Zak 1937   32  0.4160  0.0037  0.0730  0.2917  0.4524  0.36
Zak 1951   29  0.4257  0.0038  0.0931  0.2917  0.4425  0.36
Random 1   88  0.0076  0.0089  0.0189  0.0137  0.1782  0.04
Random 2   90  -0.0686  0.0090  0.0190  0.0183  0.0290  0.01
Random 3   89  -0.0138  0.0088  0.0288  0.0223  0.2862  0.07

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).