Ohlsson 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   66  0.2977  0.0079  0.0462  0.0470  0.0481  0.04
Anderszewski 2003   51  0.3567  0.0044  0.0544  0.0927  0.3443  0.17
Ashkenazy 1981   16  0.4771  0.0016  0.1012  0.6130  0.5314  0.57
Bacha 2000   78  0.2335  0.0055  0.0556  0.0539  0.2160  0.10
Badura 1965   69  0.2768  0.0071  0.0472  0.0438  0.1963  0.09
Barbosa 1983   59  0.3256  0.0050  0.0551  0.0535  0.2657  0.11
Biret 1990   60  0.3218  0.0051  0.0648  0.0625  0.5144  0.17
Blet 2003   23  0.4359  0.0038  0.0636  0.1633  0.4036  0.25
Block 1995   15  0.4823  0.006  0.128  0.6410  0.668  0.65
Blumental 1952   79  0.2270  0.0075  0.0381  0.0347  0.0775  0.05
Boshniakovich 1969   47  0.3746  0.0035  0.0637  0.1432  0.3439  0.22
Brailowsky 1960   56  0.3325  0.0056  0.0554  0.0524  0.5045  0.16
Bunin 1987   68  0.2978  0.0078  0.0555  0.0567  0.0576  0.05
Bunin 1987b   67  0.2981  0.0077  0.0384  0.0372  0.0488  0.03
Chiu 1999   6  0.5417  0.0010  0.146  0.6517  0.639  0.64
Cohen 1997   41  0.3914  0.0157  0.0552  0.0532  0.4150  0.14
Cortot 1951   48  0.3715  0.0148  0.0649  0.0623  0.5242  0.18
Csalog 1996   32  0.4134  0.0043  0.0541  0.1120  0.4538  0.22
Czerny 1949   73  0.2521  0.0059  0.0467  0.0433  0.5149  0.14
Czerny 1990   63  0.3082  0.0058  0.0557  0.0541  0.2558  0.11
Duchoud 2007   28  0.429  0.0225  0.1227  0.3229  0.3830  0.35
Ezaki 2006   54  0.3339  0.0061  0.0474  0.0429  0.3853  0.12
Falvay 1989   80  0.2250  0.0076  0.0479  0.0479  0.0387  0.03
Farrell 1958   65  0.3079  0.0066  0.0553  0.0530  0.3351  0.13
Ferenczy 1958   90  0.0085  0.0090  0.0290  0.0268  0.0489  0.03
Fliere 1977   3  0.5511  0.018  0.105  0.6720  0.666  0.66
Fou 1978   30  0.413  0.0617  0.1018  0.4515  0.4822  0.46
Francois 1956   50  0.3540  0.0062  0.0465  0.0435  0.3556  0.12
Friedman 1923   11  0.5064  0.0020  0.1710  0.6118  0.6612  0.63
Friedman 1923b   13  0.5043  0.0019  0.109  0.6218  0.6610  0.64
Friedman 1930   8  0.5451  0.009  0.107  0.6413  0.667  0.65
Garcia 2007   82  0.2037  0.0070  0.0560  0.0549  0.0674  0.05
Garcia 2007b   84  0.1845  0.0083  0.0480  0.0474  0.0486  0.04
Gierzod 1998   81  0.2036  0.0073  0.0383  0.0349  0.0773  0.05
Gornostaeva 1994   31  0.4138  0.0046  0.0475  0.0433  0.3555  0.12
Groot 1988   37  0.3961  0.0041  0.0543  0.1045  0.1359  0.11
Harasiewicz 1955   9  0.5258  0.0015  0.1113  0.607  0.5913  0.59
Hatto 1993   19  0.4422  0.0014  0.1224  0.3727  0.4128  0.39
Hatto 1997   55  0.3372  0.0049  0.0559  0.0543  0.1365  0.08
Horowitz 1949   46  0.3773  0.0052  0.0746  0.0741  0.2552  0.13
Indjic 1988   35  0.4028  0.0026  0.1230  0.3127  0.3929  0.35
Kapell 1951   64  0.3052  0.0054  0.0463  0.0448  0.0868  0.06
Kissin 1993   49  0.3654  0.0032  0.0829  0.3126  0.5227  0.40
Kushner 1989   38  0.3962  0.0053  0.0468  0.0450  0.0772  0.05
Luisada 1991   57  0.3386  0.0069  0.0466  0.0466  0.0577  0.04
Lushtak 2004   70  0.2687  0.0045  0.0445  0.0871  0.0469  0.06
Malcuzynski 1961   40  0.3947  0.0033  0.1032  0.2826  0.3432  0.31
Magaloff 1978   7  0.545  0.054  0.244  0.684  0.762  0.72
Magin 1975   14  0.4919  0.0013  0.1216  0.5614  0.7211  0.63
Michalowski 1933   27  0.4241  0.0031  0.0834  0.2229  0.4034  0.30
Milkina 1970   71  0.2524  0.0068  0.0558  0.0545  0.1464  0.08
Mohovich 1999   74  0.2574  0.0082  0.0464  0.0472  0.0482  0.04
Moravec 1969   36  0.3927  0.0021  0.1121  0.4210  0.5919  0.50
Morozova 2008   39  0.3957  0.0042  0.0540  0.1134  0.2246  0.16
Neighaus 1950   2  0.562  0.062  0.2414  0.599  0.5316  0.56
Niedzielski 1931   20  0.4448  0.0024  0.1023  0.3724  0.4426  0.40
Ohlsson 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Osinska 1989   29  0.416  0.0330  0.1226  0.3418  0.5824  0.44
Pachmann 1927   12  0.5010  0.015  0.1211  0.6110  0.735  0.67
Paderewski 1930   42  0.3829  0.0040  0.0542  0.1127  0.4637  0.22
Perlemuter 1992   17  0.4612  0.0122  0.1028  0.3221  0.6023  0.44
Pierdomenico 2008   44  0.3716  0.0123  0.1025  0.3612  0.6021  0.46
Poblocka 1999   58  0.3360  0.0067  0.0647  0.0674  0.0470  0.05
Rabcewiczowa 1932   72  0.2588  0.0081  0.0385  0.0351  0.0771  0.05
Rachmaninoff 1923   43  0.3753  0.0039  0.0639  0.1332  0.3040  0.20
Rangell 2001   76  0.2563  0.0072  0.0478  0.0458  0.0583  0.04
Richter 1976   4  0.558  0.027  0.103  0.6921  0.733  0.71
Rosen 1989   18  0.4632  0.0027  0.1022  0.4127  0.4625  0.43
Rosenthal 1930   61  0.3244  0.0064  0.0470  0.0442  0.1566  0.08
Rosenthal 1931   85  0.1183  0.0087  0.0386  0.0355  0.0579  0.04
Rosenthal 1931b   86  0.1089  0.0086  0.0288  0.0265  0.0490  0.03
Rosenthal 1931c   77  0.2490  0.0080  0.0471  0.0455  0.0585  0.04
Rosenthal 1931d   87  0.0980  0.0085  0.0477  0.0455  0.0484  0.04
Rossi 2007   83  0.1965  0.0084  0.0476  0.0429  0.2561  0.10
Rubinstein 1939   22  0.447  0.0218  0.1020  0.446  0.6118  0.52
Rubinstein 1952   24  0.4326  0.0028  0.1419  0.459  0.6217  0.53
Rubinstein 1966   62  0.3142  0.0065  0.0461  0.0471  0.0480  0.04
Schilhawsky 1960   45  0.3720  0.0034  0.0833  0.2212  0.5431  0.34
Shebanova 2002   10  0.5113  0.0112  0.1215  0.5830  0.5415  0.56
Smith 1975   33  0.4030  0.0047  0.0469  0.0421  0.4847  0.14
Sokolov 2002   25  0.4355  0.0037  0.0538  0.1421  0.4335  0.25
Sztompka 1959   34  0.4069  0.0036  0.0635  0.1842  0.2241  0.20
Tomsic 1995   75  0.2584  0.0074  0.0382  0.0362  0.0578  0.04
Uninsky 1932   21  0.4431  0.0011  0.1017  0.5426  0.4120  0.47
Uninsky 1971   26  0.4275  0.0029  0.0931  0.3027  0.3233  0.31
Wasowski 1980   5  0.554  0.063  0.272  0.715  0.731  0.72
Zak 1937   53  0.3333  0.0060  0.0473  0.0436  0.2562  0.10
Zak 1951   52  0.3476  0.0063  0.0650  0.0634  0.3248  0.14
Average   1  0.681  0.561  0.561  0.8412  0.564  0.69
Random 1   89  0.0691  0.0088  0.0289  0.0229  0.2667  0.07
Random 2   91  -0.1266  0.0091  0.0191  0.0191  0.0191  0.01
Random 3   88  0.0649  0.0089  0.0387  0.0310  0.5054  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).