Ohlsson 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   65  0.2976  0.0078  0.0461  0.0469  0.0480  0.04
Anderszewski 2003   50  0.3569  0.0043  0.0543  0.0926  0.3442  0.17
Ashkenazy 1981   15  0.4771  0.0015  0.1011  0.6129  0.5313  0.57
Bacha 2000   77  0.2338  0.0054  0.0555  0.0538  0.2159  0.10
Badura 1965   68  0.2765  0.0070  0.0471  0.0437  0.1962  0.09
Barbosa 1983   58  0.3256  0.0049  0.0550  0.0534  0.2656  0.11
Biret 1990   59  0.3221  0.0050  0.0647  0.0624  0.5143  0.17
Blet 2003   22  0.4360  0.0037  0.0635  0.1632  0.4035  0.25
Block 1995   14  0.4812  0.025  0.127  0.649  0.667  0.65
Blumental 1952   78  0.2272  0.0074  0.0380  0.0346  0.0774  0.05
Boshniakovich 1969   46  0.3737  0.0034  0.0636  0.1431  0.3438  0.22
Brailowsky 1960   55  0.3328  0.0055  0.0553  0.0523  0.5044  0.16
Bunin 1987   67  0.2977  0.0077  0.0554  0.0566  0.0575  0.05
Bunin 1987b   66  0.2980  0.0076  0.0383  0.0371  0.0487  0.03
Chiu 1999   5  0.5417  0.019  0.145  0.6516  0.638  0.64
Cohen 1997   40  0.3916  0.0156  0.0551  0.0531  0.4149  0.14
Cortot 1951   47  0.3719  0.0147  0.0648  0.0622  0.5241  0.18
Csalog 1996   31  0.4136  0.0042  0.0540  0.1119  0.4537  0.22
Czerny 1949   72  0.2526  0.0058  0.0466  0.0432  0.5148  0.14
Czerny 1990   62  0.3081  0.0057  0.0556  0.0540  0.2557  0.11
Duchoud 2007   27  0.4211  0.0224  0.1226  0.3228  0.3829  0.35
Ezaki 2006   53  0.3343  0.0060  0.0473  0.0428  0.3852  0.12
Falvay 1989   79  0.2252  0.0075  0.0478  0.0478  0.0386  0.03
Farrell 1958   64  0.3078  0.0065  0.0552  0.0529  0.3350  0.13
Ferenczy 1958   89  0.0084  0.0089  0.0289  0.0267  0.0488  0.03
Fliere 1977   2  0.5513  0.027  0.104  0.6719  0.665  0.66
Fou 1978   29  0.414  0.0616  0.1017  0.4514  0.4821  0.46
Francois 1956   49  0.3540  0.0061  0.0464  0.0434  0.3555  0.12
Friedman 1923   10  0.5066  0.0019  0.179  0.6117  0.6611  0.63
Friedman 1923b   12  0.5024  0.0018  0.108  0.6217  0.669  0.64
Friedman 1930   7  0.5418  0.018  0.106  0.6412  0.666  0.65
Garcia 2007   81  0.2041  0.0069  0.0559  0.0548  0.0673  0.05
Garcia 2007b   83  0.1848  0.0082  0.0479  0.0473  0.0485  0.04
Gierzod 1998   80  0.2039  0.0072  0.0382  0.0348  0.0772  0.05
Gornostaeva 1994   30  0.4142  0.0045  0.0474  0.0432  0.3554  0.12
Groot 1988   36  0.3961  0.0040  0.0542  0.1044  0.1358  0.11
Harasiewicz 1955   8  0.5230  0.0014  0.1112  0.606  0.5912  0.59
Hatto 1993   18  0.4415  0.0113  0.1223  0.3726  0.4127  0.39
Hatto 1997   54  0.3373  0.0048  0.0558  0.0542  0.1364  0.08
Horowitz 1949   45  0.3753  0.0051  0.0745  0.0740  0.2551  0.13
Indjic 1988   34  0.4033  0.0025  0.1229  0.3126  0.3928  0.35
Kapell 1951   63  0.3054  0.0053  0.0462  0.0447  0.0867  0.06
Kissin 1993   48  0.3657  0.0031  0.0828  0.3125  0.5226  0.40
Kushner 1989   37  0.3963  0.0052  0.0467  0.0449  0.0771  0.05
Luisada 1991   56  0.3385  0.0068  0.0465  0.0465  0.0576  0.04
Lushtak 2004   69  0.2686  0.0044  0.0444  0.0870  0.0468  0.06
Malcuzynski 1961   39  0.3949  0.0032  0.1031  0.2825  0.3431  0.31
Magaloff 1978   6  0.543  0.183  0.243  0.683  0.762  0.72
Magin 1975   13  0.4914  0.0112  0.1215  0.5613  0.7210  0.63
Michalowski 1933   26  0.4244  0.0030  0.0833  0.2228  0.4033  0.30
Milkina 1970   70  0.2527  0.0067  0.0557  0.0544  0.1463  0.08
Mohovich 1999   73  0.2574  0.0081  0.0463  0.0471  0.0481  0.04
Moravec 1969   35  0.3931  0.0020  0.1120  0.429  0.5918  0.50
Morozova 2008   38  0.3959  0.0041  0.0539  0.1133  0.2245  0.16
Neighaus 1950   1  0.561  0.251  0.2513  0.598  0.5315  0.56
Niedzielski 1931   19  0.4446  0.0023  0.1022  0.3723  0.4425  0.40
Ohlsson 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Osinska 1989   28  0.416  0.0329  0.1225  0.3417  0.5823  0.44
Pachmann 1927   11  0.507  0.034  0.1210  0.619  0.734  0.67
Paderewski 1930   41  0.3825  0.0039  0.0541  0.1126  0.4636  0.22
Perlemuter 1992   16  0.4610  0.0221  0.1127  0.3220  0.6022  0.44
Pierdomenico 2008   43  0.3720  0.0122  0.1024  0.3611  0.6020  0.46
Poblocka 1999   57  0.3362  0.0066  0.0646  0.0673  0.0469  0.05
Rabcewiczowa 1932   71  0.2587  0.0080  0.0384  0.0350  0.0770  0.05
Rachmaninoff 1923   42  0.3755  0.0038  0.0638  0.1331  0.3039  0.20
Rangell 2001   75  0.2564  0.0071  0.0477  0.0457  0.0582  0.04
Richter 1976   3  0.555  0.046  0.102  0.6920  0.733  0.71
Rosen 1989   17  0.4632  0.0026  0.1021  0.4126  0.4624  0.43
Rosenthal 1930   60  0.3247  0.0063  0.0469  0.0441  0.1565  0.08
Rosenthal 1931   84  0.1182  0.0086  0.0385  0.0354  0.0578  0.04
Rosenthal 1931b   85  0.1088  0.0085  0.0287  0.0264  0.0489  0.03
Rosenthal 1931c   76  0.2489  0.0079  0.0470  0.0454  0.0584  0.04
Rosenthal 1931d   86  0.0979  0.0084  0.0476  0.0454  0.0483  0.04
Rossi 2007   82  0.1967  0.0083  0.0475  0.0429  0.2560  0.10
Rubinstein 1939   21  0.449  0.0217  0.1019  0.445  0.6117  0.52
Rubinstein 1952   23  0.4329  0.0027  0.1418  0.458  0.6216  0.53
Rubinstein 1966   61  0.3145  0.0064  0.0560  0.0570  0.0479  0.04
Schilhawsky 1960   44  0.3722  0.0033  0.0832  0.2211  0.5430  0.34
Shebanova 2002   9  0.518  0.0311  0.1314  0.5829  0.5414  0.56
Smith 1975   32  0.4034  0.0046  0.0468  0.0420  0.4846  0.14
Sokolov 2002   24  0.4350  0.0036  0.0537  0.1420  0.4334  0.25
Sztompka 1959   33  0.4058  0.0035  0.0634  0.1841  0.2240  0.20
Tomsic 1995   74  0.2583  0.0073  0.0381  0.0361  0.0577  0.04
Uninsky 1932   20  0.4423  0.0010  0.1016  0.5425  0.4119  0.47
Uninsky 1971   25  0.4275  0.0028  0.0930  0.3026  0.3232  0.31
Wasowski 1980   4  0.552  0.182  0.271  0.714  0.731  0.72
Zak 1937   52  0.3335  0.0059  0.0472  0.0435  0.2561  0.10
Zak 1951   51  0.3470  0.0062  0.0649  0.0633  0.3247  0.14
Random 1   88  0.0690  0.0087  0.0288  0.0228  0.2566  0.07
Random 2   90  -0.1268  0.0090  0.0190  0.0190  0.0190  0.01
Random 3   87  0.0651  0.0088  0.0386  0.0310  0.5053  0.12

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).