Ohlsson 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   7  0.678  0.023  0.224  0.628  0.586  0.60
Anderszewski 2003   16  0.6322  0.0121  0.0933  0.3224  0.4331  0.37
Ashkenazy 1981   9  0.6620  0.0111  0.109  0.564  0.599  0.57
Bacha 2000   44  0.5479  0.0062  0.0550  0.058  0.4344  0.15
Badura 1965   31  0.5841  0.0026  0.0732  0.3310  0.5519  0.43
Barbosa 1983   69  0.4668  0.0070  0.0480  0.0455  0.0578  0.04
Biret 1990   33  0.5744  0.0040  0.0641  0.1336  0.2042  0.16
Blet 2003   68  0.4671  0.0071  0.0562  0.0542  0.1167  0.07
Block 1995   74  0.4482  0.0060  0.0552  0.0534  0.1959  0.10
Blumental 1952   73  0.4483  0.0073  0.0558  0.0581  0.0482  0.04
Boshniakovich 1969   14  0.637  0.0215  0.1024  0.4125  0.4520  0.43
Brailowsky 1960   66  0.4676  0.0075  0.0470  0.0456  0.0571  0.04
Bunin 1987   71  0.4550  0.0054  0.0561  0.059  0.4941  0.16
Bunin 1987b   72  0.4572  0.0047  0.0468  0.048  0.5047  0.14
Chiu 1999   48  0.5346  0.0050  0.0466  0.0420  0.3156  0.11
Cohen 1997   81  0.4038  0.0076  0.0384  0.0332  0.2062  0.08
Cortot 1951   77  0.4177  0.0077  0.0385  0.0350  0.0583  0.04
Csalog 1996   85  0.3584  0.0072  0.0469  0.0453  0.0580  0.04
Czerny 1949   23  0.6165  0.0031  0.1025  0.3932  0.3929  0.39
Czerny 1990   26  0.6017  0.0137  0.0639  0.1449  0.0760  0.10
Duchoud 2007   10  0.6416  0.019  0.1310  0.561  0.772  0.66
Ezaki 2006   39  0.5539  0.0048  0.0471  0.0443  0.1365  0.07
Falvay 1989   67  0.4640  0.0068  0.0478  0.0468  0.0573  0.04
Farrell 1958   29  0.5828  0.0039  0.0636  0.2039  0.2337  0.21
Ferenczy 1958   80  0.4089  0.0079  0.0383  0.0378  0.0388  0.03
Fliere 1977   5  0.684  0.044  0.206  0.6213  0.4910  0.55
Fou 1978   38  0.5675  0.0046  0.0553  0.0549  0.0570  0.05
Francois 1956   50  0.5254  0.0061  0.0645  0.0624  0.4443  0.16
Friedman 1923   35  0.5637  0.0052  0.0646  0.0633  0.3249  0.14
Friedman 1923b   37  0.5632  0.0051  0.0564  0.0535  0.3351  0.13
Friedman 1930   42  0.5533  0.0057  0.0555  0.0532  0.3154  0.12
Garcia 2007   47  0.5373  0.0049  0.0465  0.0410  0.5248  0.14
Garcia 2007b   40  0.5580  0.0030  0.0830  0.3411  0.5224  0.42
Gierzod 1998   2  0.712  0.162  0.382  0.7116  0.593  0.65
Gornostaeva 1994   45  0.5435  0.0063  0.0648  0.0643  0.1063  0.08
Groot 1988   65  0.4747  0.0035  0.0637  0.1940  0.1246  0.15
Harasiewicz 1955   21  0.6156  0.0022  0.1119  0.4529  0.4121  0.43
Hatto 1993   13  0.6357  0.0019  0.1121  0.4422  0.3627  0.40
Hatto 1997   15  0.6363  0.0020  0.0823  0.4221  0.3628  0.39
Horowitz 1949   61  0.4778  0.0064  0.0477  0.0433  0.3452  0.12
Indjic 1988   11  0.6460  0.0018  0.0916  0.4622  0.3726  0.41
Kapell 1951   53  0.5243  0.0036  0.0642  0.1346  0.0758  0.10
Kissin 1993   27  0.6042  0.0028  0.0928  0.3635  0.3632  0.36
Kushner 1989   4  0.696  0.038  0.153  0.6617  0.575  0.61
Luisada 1991   30  0.5829  0.0032  0.0829  0.3528  0.3133  0.33
Lushtak 2004   28  0.5923  0.0112  0.0917  0.467  0.5812  0.52
Malcuzynski 1961   62  0.4770  0.0074  0.0551  0.0567  0.0477  0.04
Magaloff 1978   51  0.529  0.0244  0.0643  0.1359  0.0466  0.07
Magin 1975   20  0.6226  0.015  0.198  0.5715  0.4911  0.53
Michalowski 1933   56  0.5158  0.0055  0.0649  0.0610  0.4840  0.17
Milkina 1970   25  0.6010  0.0225  0.0922  0.4330  0.4223  0.42
Mohovich 1999   34  0.5630  0.0033  0.0831  0.3323  0.4430  0.38
Moravec 1969   87  0.3161  0.0087  0.0474  0.0483  0.0386  0.03
Morozova 2008   24  0.6121  0.0117  0.0813  0.528  0.5114  0.51
Neighaus 1950   6  0.6727  0.0110  0.1211  0.565  0.607  0.58
Niedzielski 1931   59  0.4855  0.0067  0.0559  0.0561  0.0475  0.04
Ohlsson 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Osinska 1989   19  0.6215  0.0124  0.1018  0.4630  0.3922  0.42
Pachmann 1927   75  0.4381  0.0080  0.0554  0.0530  0.2953  0.12
Paderewski 1930   76  0.4285  0.0078  0.0386  0.0351  0.0487  0.03
Perlemuter 1992   52  0.5269  0.0045  0.0467  0.0419  0.4450  0.13
Pierdomenico 2008   57  0.4936  0.0042  0.0540  0.139  0.5034  0.25
Poblocka 1999   41  0.5548  0.0027  0.0826  0.3924  0.4425  0.41
Rabcewiczowa 1932   63  0.4767  0.0069  0.0473  0.0473  0.0476  0.04
Rachmaninoff 1923   43  0.5449  0.0034  0.0734  0.2736  0.2136  0.24
Rangell 2001   60  0.4845  0.0066  0.0472  0.0424  0.3855  0.12
Richter 1976   55  0.5153  0.0056  0.0647  0.0621  0.5039  0.17
Rosen 1989   18  0.6334  0.0023  0.0914  0.4912  0.5015  0.49
Rosenthal 1930   78  0.4162  0.0081  0.0563  0.0553  0.0481  0.04
Rosenthal 1931   82  0.3851  0.0083  0.0387  0.0357  0.0579  0.04
Rosenthal 1931b   84  0.3690  0.0085  0.0481  0.0455  0.0584  0.04
Rosenthal 1931c   83  0.3859  0.0084  0.0476  0.0458  0.0485  0.04
Rosenthal 1931d   86  0.3586  0.0086  0.0382  0.0370  0.0489  0.03
Rossi 2007   79  0.4012  0.0182  0.0475  0.0471  0.0472  0.04
Rubinstein 1939   54  0.5252  0.0065  0.0479  0.0458  0.0474  0.04
Rubinstein 1952   70  0.4624  0.0143  0.0544  0.1150  0.0664  0.08
Rubinstein 1966   22  0.6125  0.0138  0.0735  0.2133  0.2935  0.25
Schilhawsky 1960   32  0.5813  0.0129  0.1027  0.3821  0.4818  0.43
Shebanova 2002   1  0.721  0.361  0.361  0.752  0.671  0.71
Smith 1975   46  0.5366  0.0058  0.0560  0.0547  0.0769  0.06
Sokolov 2002   8  0.673  0.076  0.145  0.622  0.654  0.63
Sztompka 1959   3  0.695  0.037  0.187  0.6115  0.548  0.57
Tomsic 1995   58  0.4918  0.0159  0.0556  0.0521  0.4645  0.15
Uninsky 1932   64  0.4774  0.0053  0.0557  0.0539  0.2557  0.11
Uninsky 1971   49  0.5311  0.0116  0.0920  0.4521  0.4917  0.47
Wasowski 1980   36  0.5631  0.0041  0.0738  0.1430  0.3038  0.20
Zak 1937   17  0.6319  0.0114  0.0915  0.4815  0.4816  0.48
Zak 1951   12  0.6314  0.0113  0.0912  0.5213  0.5113  0.51
Random 1   90  -0.1464  0.0090  0.0190  0.0175  0.0290  0.01
Random 2   88  0.0087  0.0088  0.0289  0.0219  0.3261  0.08
Random 3   89  -0.0588  0.0089  0.0288  0.0223  0.2468  0.07

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).