Ohlsson 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   8  0.7617  0.019  0.188  0.5418  0.4011  0.46
Anderszewski 2003   11  0.7510  0.0117  0.0827  0.3013  0.3326  0.31
Ashkenazy 1981   10  0.7625  0.0112  0.1011  0.485  0.528  0.50
Bacha 2000   41  0.6570  0.0060  0.0646  0.0625  0.2150  0.11
Badura 1965   43  0.6471  0.0045  0.0645  0.1129  0.4134  0.21
Barbosa 1983   77  0.4614  0.0172  0.0381  0.0348  0.0770  0.05
Biret 1990   52  0.6279  0.0062  0.0470  0.0469  0.0480  0.04
Blet 2003   65  0.5474  0.0065  0.0472  0.0444  0.0966  0.06
Block 1995   74  0.5080  0.0054  0.0461  0.0431  0.1760  0.08
Blumental 1952   71  0.5089  0.0074  0.0474  0.0457  0.0479  0.04
Boshniakovich 1969   15  0.7146  0.0024  0.0720  0.3824  0.4217  0.40
Brailowsky 1960   47  0.6377  0.0064  0.0463  0.0440  0.1462  0.07
Bunin 1987   69  0.5244  0.0051  0.0469  0.0416  0.4544  0.13
Bunin 1987b   70  0.5151  0.0050  0.0466  0.0416  0.4543  0.13
Chiu 1999   58  0.5776  0.0037  0.0642  0.1333  0.2137  0.17
Cohen 1997   85  0.3845  0.0081  0.0384  0.0354  0.0488  0.03
Cortot 1951   55  0.5890  0.0049  0.0462  0.0436  0.1661  0.08
Csalog 1996   87  0.3333  0.0070  0.0288  0.0271  0.0390  0.02
Czerny 1949   18  0.7186  0.0018  0.0519  0.3829  0.3919  0.38
Czerny 1990   32  0.679  0.0138  0.0544  0.1157  0.0463  0.07
Duchoud 2007   12  0.7416  0.0110  0.149  0.541  0.683  0.61
Ezaki 2006   42  0.6434  0.0056  0.0553  0.0562  0.0472  0.04
Falvay 1989   84  0.3935  0.0082  0.0382  0.0370  0.0485  0.03
Farrell 1958   45  0.6427  0.0116  0.0843  0.1351  0.0657  0.09
Ferenczy 1958   73  0.5083  0.0073  0.0380  0.0348  0.0678  0.04
Fliere 1977   5  0.815  0.045  0.157  0.5716  0.419  0.48
Fou 1978   46  0.6357  0.0043  0.0641  0.1445  0.0851  0.11
Francois 1956   53  0.6169  0.0057  0.0559  0.0534  0.2056  0.10
Friedman 1923   30  0.6864  0.0047  0.0554  0.0540  0.2849  0.12
Friedman 1923b   33  0.6765  0.0048  0.0558  0.0540  0.2847  0.12
Friedman 1930   40  0.6531  0.0059  0.0647  0.0640  0.2646  0.12
Garcia 2007   23  0.7081  0.0026  0.0522  0.3312  0.5016  0.41
Garcia 2007b   22  0.7084  0.0015  0.1018  0.4015  0.4714  0.43
Gierzod 1998   6  0.807  0.026  0.174  0.618  0.544  0.57
Gornostaeva 1994   36  0.6619  0.0155  0.0648  0.0628  0.2052  0.11
Groot 1988   61  0.5660  0.0036  0.0637  0.1543  0.1740  0.16
Harasiewicz 1955   28  0.6820  0.0120  0.0517  0.4023  0.3223  0.36
Hatto 1993   21  0.7185  0.0033  0.1125  0.3225  0.3028  0.31
Hatto 1997   17  0.7148  0.0032  0.0924  0.3226  0.3027  0.31
Horowitz 1949   50  0.6287  0.0052  0.0549  0.0530  0.4041  0.14
Indjic 1988   14  0.7267  0.0031  0.0623  0.3326  0.3025  0.31
Kapell 1951   54  0.6155  0.0025  0.0631  0.2729  0.1633  0.21
Kissin 1993   37  0.6530  0.0040  0.0832  0.2539  0.1336  0.18
Kushner 1989   9  0.7612  0.0113  0.1016  0.408  0.5310  0.46
Luisada 1991   34  0.6615  0.0141  0.0640  0.1565  0.0458  0.08
Lushtak 2004   38  0.6541  0.0044  0.0739  0.1530  0.2039  0.17
Malcuzynski 1961   75  0.4852  0.0078  0.0557  0.0552  0.0568  0.05
Magaloff 1978   60  0.5629  0.0069  0.0473  0.0463  0.0573  0.04
Magin 1975   13  0.7224  0.013  0.146  0.5811  0.506  0.54
Michalowski 1933   27  0.6961  0.0029  0.0730  0.2713  0.4821  0.36
Milkina 1970   35  0.6650  0.0053  0.0560  0.0547  0.0765  0.06
Mohovich 1999   20  0.7122  0.0134  0.0826  0.3112  0.5218  0.40
Moravec 1969   88  0.2863  0.0088  0.0378  0.0382  0.0383  0.03
Morozova 2008   29  0.6838  0.0027  0.0721  0.3722  0.3522  0.36
Neighaus 1950   1  0.842  0.112  0.292  0.652  0.622  0.63
Niedzielski 1931   56  0.5856  0.0063  0.0376  0.0353  0.0486  0.03
Ohlsson 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Osinska 1989   26  0.6936  0.0039  0.0536  0.1747  0.0653  0.10
Pachmann 1927   59  0.5754  0.0066  0.0464  0.0418  0.3545  0.12
Paderewski 1930   62  0.5675  0.0075  0.0555  0.0568  0.0375  0.04
Perlemuter 1992   48  0.6343  0.0030  0.0634  0.1934  0.2035  0.19
Pierdomenico 2008   64  0.556  0.0414  0.0935  0.175  0.4732  0.28
Poblocka 1999   49  0.6218  0.0111  0.1612  0.4617  0.4512  0.45
Rabcewiczowa 1932   67  0.5337  0.0071  0.0387  0.0381  0.0387  0.03
Rachmaninoff 1923   25  0.7073  0.0035  0.0728  0.3024  0.3129  0.30
Rangell 2001   72  0.5068  0.0067  0.0475  0.0424  0.3448  0.12
Richter 1976   68  0.5328  0.0161  0.0550  0.0527  0.4142  0.14
Rosen 1989   24  0.7066  0.0028  0.0629  0.3024  0.2831  0.29
Rosenthal 1930   76  0.4858  0.0077  0.0465  0.0442  0.0967  0.06
Rosenthal 1931   79  0.4362  0.0083  0.0385  0.0353  0.0576  0.04
Rosenthal 1931b   80  0.4388  0.0085  0.0471  0.0449  0.0671  0.05
Rosenthal 1931c   81  0.428  0.0284  0.0386  0.0357  0.0489  0.03
Rosenthal 1931d   82  0.4272  0.0086  0.0467  0.0464  0.0481  0.04
Rossi 2007   83  0.4021  0.0187  0.0379  0.0380  0.0384  0.03
Rubinstein 1939   66  0.5447  0.0076  0.0377  0.0358  0.0574  0.04
Rubinstein 1952   86  0.3623  0.0180  0.0556  0.0572  0.0482  0.04
Rubinstein 1966   51  0.6249  0.0068  0.0383  0.0351  0.0577  0.04
Schilhawsky 1960   31  0.6711  0.0119  0.0615  0.4024  0.4515  0.42
Shebanova 2002   2  0.831  0.411  0.401  0.696  0.601  0.64
Smith 1975   39  0.6553  0.0058  0.0551  0.0543  0.0864  0.06
Sokolov 2002   7  0.773  0.088  0.2210  0.512  0.615  0.56
Sztompka 1959   3  0.8213  0.017  0.225  0.6012  0.447  0.51
Tomsic 1995   78  0.4540  0.0079  0.0468  0.0453  0.0769  0.05
Uninsky 1932   57  0.5759  0.0042  0.0638  0.1542  0.2038  0.17
Uninsky 1971   63  0.5626  0.0121  0.0533  0.2433  0.3430  0.29
Wasowski 1980   44  0.6439  0.0046  0.0552  0.0537  0.1459  0.08
Zak 1937   16  0.7132  0.0023  0.0614  0.4120  0.2924  0.34
Zak 1951   19  0.7142  0.0022  0.0513  0.4118  0.3220  0.36
Average   4  0.824  0.064  0.153  0.6221  0.3313  0.45
Random 1   91  -0.2691  0.0091  0.0191  0.0152  0.0491  0.02
Random 2   89  0.0378  0.0089  0.0289  0.024  0.5054  0.10
Random 3   90  -0.0382  0.0090  0.0290  0.0211  0.4755  0.10

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).