Ohlsson 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   21  0.4717  0.0119  0.0723  0.408  0.5215  0.46
Anderszewski 2003   42  0.4236  0.0018  0.0827  0.3841  0.1724  0.25
Ashkenazy 1981   37  0.4423  0.0048  0.0548  0.0527  0.2651  0.11
Bacha 2000   50  0.3979  0.0055  0.0469  0.0420  0.3944  0.12
Badura 1965   25  0.465  0.065  0.218  0.582  0.612  0.59
Barbosa 1983   23  0.4652  0.0033  0.0828  0.3650  0.0832  0.17
Biret 1990   7  0.5020  0.0110  0.107  0.5826  0.3813  0.47
Blet 2003   47  0.3924  0.0047  0.0646  0.0626  0.2446  0.12
Block 1995   75  0.3072  0.0065  0.0553  0.0560  0.0564  0.05
Blumental 1952   74  0.3082  0.0074  0.0376  0.0374  0.0483  0.03
Boshniakovich 1969   14  0.4810  0.0214  0.1421  0.4339  0.1425  0.25
Brailowsky 1960   78  0.2883  0.0081  0.0284  0.0252  0.0676  0.03
Bunin 1987   56  0.3641  0.0032  0.0737  0.2325  0.2826  0.25
Bunin 1987b   55  0.3725  0.0028  0.0933  0.3114  0.4417  0.37
Chiu 1999   44  0.4145  0.0044  0.0644  0.1230  0.2331  0.17
Cohen 1997   64  0.3322  0.0156  0.0466  0.0418  0.2755  0.10
Cortot 1951   80  0.2637  0.0078  0.0283  0.0259  0.0585  0.03
Csalog 1996   70  0.3180  0.0060  0.0465  0.0457  0.0572  0.04
Czerny 1949   27  0.4553  0.0041  0.0640  0.1853  0.0750  0.11
Czerny 1990   15  0.4859  0.0038  0.0734  0.2947  0.0934  0.16
Duchoud 2007   8  0.496  0.047  0.1215  0.482  0.771  0.61
Ezaki 2006   34  0.4542  0.0017  0.0816  0.4640  0.1721  0.28
Falvay 1989   20  0.4727  0.0027  0.0825  0.3965  0.0445  0.12
Farrell 1958   36  0.4449  0.0037  0.0635  0.2747  0.0933  0.16
Ferenczy 1958   77  0.2884  0.0083  0.0374  0.0375  0.0380  0.03
Fliere 1977   30  0.4567  0.0026  0.0722  0.4277  0.0439  0.13
Fou 1978   45  0.4062  0.0059  0.0561  0.0571  0.0469  0.04
Francois 1956   48  0.3926  0.0051  0.0468  0.0426  0.2953  0.11
Friedman 1923   59  0.3576  0.0064  0.0559  0.0528  0.3243  0.13
Friedman 1923b   61  0.3528  0.0063  0.0562  0.0530  0.2748  0.12
Friedman 1930   51  0.3838  0.0057  0.0549  0.0527  0.3147  0.12
Garcia 2007   73  0.3077  0.0053  0.0471  0.0436  0.2454  0.10
Garcia 2007b   63  0.3355  0.0035  0.0841  0.1740  0.1436  0.15
Gierzod 1998   4  0.5315  0.016  0.106  0.5845  0.0828  0.22
Gornostaeva 1994   60  0.3563  0.0070  0.0552  0.0586  0.0284  0.03
Groot 1988   65  0.3331  0.0043  0.0643  0.1352  0.0557  0.08
Harasiewicz 1955   16  0.4760  0.0034  0.1129  0.3653  0.0542  0.13
Hatto 1993   17  0.4732  0.0021  0.0720  0.4441  0.1723  0.27
Hatto 1997   24  0.4661  0.0029  0.0926  0.3944  0.0930  0.19
Horowitz 1949   86  0.2264  0.0086  0.0287  0.0270  0.0477  0.03
Indjic 1988   22  0.4739  0.0022  0.1019  0.4441  0.1622  0.27
Kapell 1951   46  0.4033  0.0054  0.0467  0.0456  0.0663  0.05
Kissin 1993   28  0.4543  0.0040  0.0838  0.2250  0.0841  0.13
Kushner 1989   1  0.574  0.114  0.231  0.7225  0.425  0.55
Luisada 1991   40  0.4212  0.0231  0.0830  0.3325  0.3718  0.35
Lushtak 2004   10  0.491  0.181  0.173  0.6417  0.523  0.58
Malcuzynski 1961   32  0.4568  0.0042  0.0742  0.1562  0.0556  0.09
Magaloff 1978   38  0.447  0.0420  0.0831  0.3242  0.1627  0.23
Magin 1975   49  0.3957  0.0058  0.0555  0.0567  0.0467  0.04
Michalowski 1933   87  0.1973  0.0084  0.0285  0.0248  0.0479  0.03
Milkina 1970   6  0.502  0.152  0.205  0.6126  0.419  0.50
Mohovich 1999   41  0.4234  0.0025  0.0724  0.4043  0.1029  0.20
Moravec 1969   62  0.3585  0.0076  0.0373  0.0376  0.0375  0.03
Morozova 2008   26  0.4644  0.0016  0.0913  0.5020  0.4412  0.47
Neighaus 1950   52  0.3756  0.0067  0.0560  0.0543  0.1059  0.07
Niedzielski 1931   71  0.3150  0.0071  0.0554  0.0549  0.0761  0.06
Ohlsson 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Osinska 1989   3  0.543  0.153  0.252  0.6726  0.494  0.57
Pachmann 1927   84  0.2574  0.0080  0.0382  0.0353  0.0570  0.04
Paderewski 1930   82  0.2581  0.0079  0.0378  0.0362  0.0478  0.03
Perlemuter 1992   54  0.3746  0.0049  0.0558  0.0516  0.4237  0.14
Pierdomenico 2008   58  0.3658  0.0062  0.0551  0.0531  0.3340  0.13
Poblocka 1999   53  0.3730  0.0066  0.0557  0.0559  0.0760  0.06
Rabcewiczowa 1932   66  0.3371  0.0061  0.0556  0.0574  0.0368  0.04
Rachmaninoff 1923   85  0.2378  0.0073  0.0377  0.0359  0.0565  0.04
Rangell 2001   39  0.4340  0.0046  0.0547  0.0534  0.2452  0.11
Richter 1976   29  0.4551  0.0045  0.0845  0.0845  0.0758  0.07
Rosen 1989   5  0.519  0.0313  0.1112  0.5215  0.4810  0.50
Rosenthal 1930   69  0.3265  0.0072  0.0380  0.0368  0.0482  0.03
Rosenthal 1931   72  0.3148  0.0077  0.0379  0.0349  0.0571  0.04
Rosenthal 1931b   81  0.2689  0.0087  0.0375  0.0371  0.0486  0.03
Rosenthal 1931c   76  0.2954  0.0082  0.0381  0.0367  0.0487  0.03
Rosenthal 1931d   79  0.2675  0.0085  0.0286  0.0274  0.0390  0.02
Rossi 2007   67  0.3314  0.0152  0.0470  0.0428  0.2949  0.11
Rubinstein 1939   43  0.4147  0.0050  0.0463  0.0455  0.0566  0.04
Rubinstein 1952   19  0.4735  0.0024  0.0617  0.4552  0.0635  0.16
Rubinstein 1966   2  0.5413  0.028  0.124  0.6435  0.3314  0.46
Schilhawsky 1960   57  0.3669  0.0069  0.0464  0.0465  0.0473  0.04
Shebanova 2002   12  0.4918  0.0115  0.0814  0.4914  0.4711  0.48
Smith 1975   68  0.3386  0.0068  0.0550  0.0558  0.0562  0.05
Sokolov 2002   11  0.4919  0.0139  0.0839  0.2124  0.4319  0.30
Sztompka 1959   31  0.458  0.0336  0.0636  0.2633  0.3420  0.30
Tomsic 1995   18  0.4716  0.019  0.1010  0.5314  0.497  0.51
Uninsky 1932   83  0.2587  0.0075  0.0472  0.0462  0.0474  0.04
Uninsky 1971   33  0.4566  0.0023  0.0918  0.4428  0.3716  0.40
Wasowski 1980   35  0.4421  0.0130  0.0732  0.3265  0.0538  0.13
Zak 1937   13  0.4811  0.0212  0.1511  0.5217  0.488  0.50
Zak 1951   9  0.4929  0.0011  0.129  0.5620  0.506  0.53
Random 1   89  -0.0770  0.0090  0.0190  0.0160  0.0388  0.02
Random 2   88  0.0090  0.0088  0.0188  0.0142  0.0881  0.03
Random 3   90  -0.1088  0.0089  0.0189  0.0160  0.0389  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).