Ohlsson 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   22  0.4724  0.0020  0.0724  0.409  0.5215  0.46
Anderszewski 2003   43  0.4235  0.0019  0.0828  0.3842  0.1725  0.25
Ashkenazy 1981   38  0.4423  0.0049  0.0549  0.0528  0.2651  0.11
Bacha 2000   51  0.3979  0.0056  0.0470  0.0421  0.3945  0.12
Badura 1965   26  0.463  0.056  0.219  0.583  0.612  0.59
Barbosa 1983   24  0.4652  0.0034  0.0829  0.3651  0.0833  0.17
Biret 1990   8  0.5019  0.0111  0.108  0.5827  0.3813  0.47
Blet 2003   48  0.3922  0.0048  0.0647  0.0627  0.2447  0.12
Block 1995   76  0.3071  0.0066  0.0554  0.0561  0.0565  0.05
Blumental 1952   75  0.3083  0.0075  0.0377  0.0375  0.0484  0.03
Boshniakovich 1969   15  0.4821  0.0015  0.1322  0.4340  0.1426  0.25
Brailowsky 1960   79  0.2884  0.0082  0.0285  0.0253  0.0677  0.03
Bunin 1987   57  0.3640  0.0033  0.0738  0.2326  0.2827  0.25
Bunin 1987b   56  0.3725  0.0029  0.0934  0.3115  0.4417  0.37
Chiu 1999   45  0.4145  0.0045  0.0645  0.1231  0.2332  0.17
Cohen 1997   65  0.3320  0.0157  0.0467  0.0419  0.2755  0.10
Cortot 1951   81  0.2636  0.0079  0.0284  0.0260  0.0586  0.03
Csalog 1996   71  0.3180  0.0061  0.0466  0.0458  0.0573  0.04
Czerny 1949   28  0.4553  0.0042  0.0641  0.1854  0.0750  0.11
Czerny 1990   16  0.4858  0.0039  0.0735  0.2948  0.0935  0.16
Duchoud 2007   9  0.497  0.028  0.1216  0.482  0.771  0.61
Ezaki 2006   35  0.4541  0.0018  0.0817  0.4641  0.1722  0.28
Falvay 1989   21  0.4727  0.0028  0.0726  0.3966  0.0446  0.12
Farrell 1958   37  0.4447  0.0038  0.0636  0.2748  0.0934  0.16
Ferenczy 1958   78  0.2885  0.0084  0.0375  0.0376  0.0381  0.03
Fliere 1977   31  0.4566  0.0027  0.0723  0.4278  0.0440  0.13
Fou 1978   46  0.4063  0.0060  0.0462  0.0472  0.0470  0.04
Francois 1956   49  0.3926  0.0052  0.0469  0.0427  0.2953  0.11
Friedman 1923   60  0.3575  0.0065  0.0560  0.0529  0.3244  0.13
Friedman 1923b   62  0.3528  0.0064  0.0463  0.0431  0.2756  0.10
Friedman 1930   52  0.3838  0.0058  0.0550  0.0528  0.3148  0.12
Garcia 2007   74  0.3076  0.0054  0.0472  0.0437  0.2454  0.10
Garcia 2007b   64  0.3359  0.0036  0.0842  0.1741  0.1437  0.15
Gierzod 1998   5  0.5329  0.007  0.107  0.5846  0.0829  0.22
Gornostaeva 1994   61  0.3564  0.0071  0.0553  0.0587  0.0285  0.03
Groot 1988   66  0.3331  0.0044  0.0644  0.1353  0.0558  0.08
Harasiewicz 1955   17  0.4760  0.0035  0.1130  0.3654  0.0543  0.13
Hatto 1993   18  0.4732  0.0022  0.0721  0.4442  0.1724  0.27
Hatto 1997   25  0.4661  0.0030  0.0827  0.3945  0.0931  0.19
Horowitz 1949   87  0.2265  0.0087  0.0288  0.0271  0.0478  0.03
Indjic 1988   23  0.4748  0.0023  0.1020  0.4442  0.1623  0.27
Kapell 1951   47  0.4033  0.0055  0.0468  0.0457  0.0664  0.05
Kissin 1993   29  0.4551  0.0041  0.0839  0.2251  0.0842  0.13
Kushner 1989   2  0.574  0.055  0.232  0.7226  0.425  0.55
Luisada 1991   41  0.4212  0.0232  0.0831  0.3326  0.3718  0.35
Lushtak 2004   11  0.4911  0.022  0.174  0.6418  0.523  0.58
Malcuzynski 1961   33  0.4577  0.0043  0.0643  0.1563  0.0557  0.09
Magaloff 1978   39  0.445  0.0321  0.0832  0.3243  0.1628  0.23
Magin 1975   50  0.3962  0.0059  0.0556  0.0568  0.0468  0.04
Michalowski 1933   88  0.1972  0.0085  0.0286  0.0249  0.0480  0.03
Milkina 1970   7  0.502  0.053  0.206  0.6127  0.419  0.50
Mohovich 1999   42  0.4239  0.0026  0.0725  0.4044  0.1030  0.20
Moravec 1969   63  0.3586  0.0077  0.0374  0.0377  0.0376  0.03
Morozova 2008   27  0.4642  0.0017  0.0914  0.5021  0.4412  0.47
Neighaus 1950   53  0.3756  0.0068  0.0561  0.0544  0.1060  0.07
Niedzielski 1931   72  0.3149  0.0072  0.0555  0.0550  0.0663  0.05
Ohlsson 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Osinska 1989   4  0.548  0.024  0.253  0.6727  0.494  0.57
Pachmann 1927   85  0.2573  0.0081  0.0383  0.0354  0.0571  0.04
Paderewski 1930   83  0.2581  0.0080  0.0379  0.0363  0.0479  0.03
Perlemuter 1992   55  0.3743  0.0050  0.0559  0.0517  0.4238  0.14
Pierdomenico 2008   59  0.3657  0.0063  0.0552  0.0532  0.3341  0.13
Poblocka 1999   54  0.3730  0.0067  0.0558  0.0560  0.0761  0.06
Rabcewiczowa 1932   67  0.3369  0.0062  0.0557  0.0575  0.0369  0.04
Rachmaninoff 1923   86  0.2378  0.0074  0.0378  0.0360  0.0566  0.04
Rangell 2001   40  0.4337  0.0047  0.0548  0.0535  0.2452  0.11
Richter 1976   30  0.4550  0.0046  0.0846  0.0846  0.0759  0.07
Rosen 1989   6  0.519  0.0214  0.1113  0.5216  0.4810  0.50
Rosenthal 1930   70  0.3282  0.0073  0.0381  0.0369  0.0483  0.03
Rosenthal 1931   73  0.3146  0.0078  0.0380  0.0350  0.0572  0.04
Rosenthal 1931b   82  0.2690  0.0088  0.0376  0.0372  0.0487  0.03
Rosenthal 1931c   77  0.2954  0.0083  0.0382  0.0368  0.0488  0.03
Rosenthal 1931d   80  0.2674  0.0086  0.0287  0.0275  0.0391  0.02
Rossi 2007   68  0.3314  0.0153  0.0471  0.0429  0.2949  0.11
Rubinstein 1939   44  0.4144  0.0051  0.0464  0.0456  0.0567  0.04
Rubinstein 1952   20  0.4734  0.0025  0.0618  0.4553  0.0636  0.16
Rubinstein 1966   3  0.5413  0.029  0.125  0.6436  0.3314  0.46
Schilhawsky 1960   58  0.3667  0.0070  0.0465  0.0466  0.0474  0.04
Shebanova 2002   13  0.4916  0.0116  0.0815  0.4915  0.4711  0.48
Smith 1975   69  0.3387  0.0069  0.0551  0.0559  0.0562  0.05
Sokolov 2002   12  0.4917  0.0140  0.0840  0.2125  0.4320  0.30
Sztompka 1959   32  0.456  0.0337  0.0637  0.2634  0.3421  0.30
Tomsic 1995   19  0.4715  0.0110  0.1011  0.5315  0.497  0.51
Uninsky 1932   84  0.2588  0.0076  0.0473  0.0463  0.0475  0.04
Uninsky 1971   34  0.4570  0.0024  0.0919  0.4429  0.3716  0.40
Wasowski 1980   36  0.4418  0.0131  0.0733  0.3266  0.0539  0.13
Zak 1937   14  0.4810  0.0213  0.1512  0.5218  0.488  0.50
Zak 1951   10  0.4955  0.0012  0.1110  0.5621  0.506  0.53
Average   1  0.641  0.551  0.551  0.8345  0.1419  0.34
Random 1   90  -0.0768  0.0091  0.0191  0.0160  0.0389  0.02
Random 2   89  0.0091  0.0089  0.0189  0.0142  0.0982  0.03
Random 3   91  -0.1089  0.0090  0.0190  0.0160  0.0390  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).