Groot 1988

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   26  0.4227  0.0010  0.1417  0.467  0.6216  0.53
Anderszewski 2003   80  0.2950  0.0071  0.0559  0.0551  0.0774  0.06
Ashkenazy 1981   8  0.4939  0.0016  0.1313  0.5012  0.649  0.57
Bacha 2000   74  0.3171  0.0079  0.0558  0.0542  0.1565  0.09
Badura 1965   72  0.3241  0.0074  0.0388  0.0343  0.1176  0.06
Barbosa 1983   32  0.4158  0.0024  0.0622  0.3920  0.4228  0.40
Biret 1990   47  0.3973  0.0060  0.0646  0.0631  0.3747  0.15
Blet 2003   16  0.457  0.0114  0.1116  0.474  0.6711  0.56
Block 1995   42  0.4017  0.0037  0.0637  0.2126  0.4237  0.30
Blumental 1952   24  0.4352  0.0028  0.0930  0.3417  0.5424  0.43
Boshniakovich 1969   44  0.4035  0.0047  0.0649  0.0651  0.0677  0.06
Brailowsky 1960   59  0.3526  0.0065  0.0475  0.0432  0.2959  0.11
Bunin 1987   35  0.4145  0.0033  0.0933  0.2721  0.4234  0.34
Bunin 1987b   34  0.4146  0.0032  0.0932  0.2817  0.4732  0.36
Chiu 1999   39  0.4128  0.0025  0.0727  0.3611  0.5423  0.44
Cohen 1997   60  0.3542  0.0041  0.0545  0.1022  0.5441  0.23
Cortot 1951   86  0.2375  0.0085  0.0387  0.0364  0.0587  0.04
Csalog 1996   29  0.4256  0.0049  0.0462  0.0423  0.3261  0.11
Czerny 1949   83  0.2468  0.0086  0.0467  0.0468  0.0485  0.04
Czerny 1990   11  0.472  0.026  0.2110  0.5425  0.5615  0.55
Duchoud 2007   57  0.3659  0.0062  0.0464  0.0419  0.4354  0.13
Ezaki 2006   56  0.3647  0.0064  0.0477  0.0448  0.0972  0.06
Falvay 1989   23  0.4340  0.0023  0.0621  0.4123  0.3631  0.38
Farrell 1958   78  0.3069  0.0080  0.0473  0.0447  0.0873  0.06
Ferenczy 1958   87  0.1982  0.0087  0.0474  0.0449  0.0875  0.06
Fliere 1977   2  0.584  0.012  0.342  0.806  0.731  0.76
Fou 1978   37  0.4155  0.0043  0.0540  0.1538  0.2642  0.20
Francois 1956   64  0.3338  0.0075  0.0386  0.0324  0.4262  0.11
Friedman 1923   62  0.3437  0.0066  0.0466  0.0431  0.3363  0.11
Friedman 1923b   63  0.3418  0.0067  0.0552  0.0533  0.3555  0.13
Friedman 1930   30  0.4167  0.0036  0.0634  0.2714  0.5729  0.39
Garcia 2007   77  0.3062  0.0070  0.0468  0.0436  0.1769  0.08
Garcia 2007b   20  0.4433  0.0022  0.0725  0.3717  0.5521  0.45
Gierzod 1998   76  0.3063  0.0040  0.0642  0.1141  0.1553  0.13
Gornostaeva 1994   58  0.3564  0.0039  0.0638  0.1932  0.3638  0.26
Groot 1988   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Harasiewicz 1955   43  0.4074  0.0045  0.0644  0.1168  0.0571  0.07
Hatto 1993   4  0.5343  0.003  0.323  0.766  0.742  0.75
Hatto 1997   12  0.4734  0.0011  0.119  0.5610  0.5712  0.56
Horowitz 1949   21  0.4414  0.0044  0.0641  0.157  0.6736  0.32
Indjic 1988   5  0.5216  0.004  0.264  0.734  0.753  0.74
Kapell 1951   49  0.3923  0.0055  0.0384  0.0358  0.0682  0.04
Kissin 1993   52  0.3878  0.0051  0.0476  0.0437  0.3957  0.12
Kushner 1989   17  0.4572  0.0027  0.0924  0.3830  0.3033  0.34
Luisada 1991   6  0.505  0.018  0.186  0.599  0.655  0.62
Lushtak 2004   75  0.3032  0.0057  0.0557  0.0537  0.1370  0.08
Malcuzynski 1961   38  0.4129  0.0042  0.0543  0.1144  0.1260  0.11
Magaloff 1978   18  0.4549  0.0018  0.1320  0.4115  0.4920  0.45
Magin 1975   3  0.543  0.015  0.197  0.597  0.666  0.62
Michalowski 1933   61  0.3513  0.0072  0.0478  0.0418  0.4252  0.13
Milkina 1970   50  0.3931  0.0034  0.0735  0.2531  0.4035  0.32
Mohovich 1999   22  0.4322  0.0021  0.0818  0.4417  0.5617  0.50
Moravec 1969   33  0.4136  0.0038  0.0639  0.1722  0.3639  0.25
Morozova 2008   36  0.419  0.0117  0.1415  0.4724  0.4718  0.47
Neighaus 1950   53  0.3784  0.0046  0.0551  0.0527  0.3656  0.13
Niedzielski 1931   51  0.3915  0.0048  0.0647  0.0614  0.4843  0.17
Ohlsson 1999   54  0.3665  0.0061  0.0554  0.0556  0.0581  0.05
Osinska 1989   55  0.3654  0.0058  0.0648  0.0658  0.0578  0.05
Pachmann 1927   81  0.2885  0.0083  0.0385  0.0346  0.0880  0.05
Paderewski 1930   65  0.3351  0.0068  0.0469  0.0423  0.4749  0.14
Perlemuter 1992   48  0.3970  0.0053  0.0461  0.0420  0.4551  0.13
Pierdomenico 2008   71  0.3276  0.0073  0.0379  0.0335  0.1967  0.08
Poblocka 1999   19  0.4553  0.0026  0.0723  0.3822  0.5022  0.44
Rabcewiczowa 1932   73  0.3248  0.0054  0.0470  0.0439  0.2364  0.10
Rachmaninoff 1923   10  0.486  0.019  0.1814  0.494  0.707  0.59
Rangell 2001   85  0.2389  0.0084  0.0383  0.0353  0.0586  0.04
Richter 1976   14  0.4619  0.0019  0.0919  0.4225  0.5019  0.46
Rosen 1989   45  0.3911  0.0129  0.0926  0.3716  0.4230  0.39
Rosenthal 1930   31  0.4124  0.0035  0.0636  0.2512  0.6827  0.41
Rosenthal 1931   84  0.2357  0.0081  0.0381  0.0324  0.4858  0.12
Rosenthal 1931b   82  0.2686  0.0082  0.0550  0.0524  0.4945  0.16
Rosenthal 1931c   70  0.3277  0.0063  0.0463  0.0420  0.4850  0.14
Rosenthal 1931d   79  0.2979  0.0069  0.0471  0.0414  0.5448  0.15
Rossi 2007   88  0.1688  0.0088  0.0380  0.0363  0.0488  0.03
Rubinstein 1939   67  0.3360  0.0056  0.0465  0.0433  0.1868  0.08
Rubinstein 1952   13  0.4612  0.0115  0.1012  0.5411  0.6010  0.57
Rubinstein 1966   28  0.4220  0.0030  0.0931  0.3437  0.1740  0.24
Schilhawsky 1960   69  0.3366  0.0076  0.0382  0.0348  0.0684  0.04
Shebanova 2002   7  0.4925  0.007  0.175  0.6016  0.5313  0.56
Smith 1975   41  0.4061  0.0052  0.0555  0.0523  0.4746  0.15
Sokolov 2002   40  0.4030  0.0050  0.0556  0.0516  0.4944  0.16
Sztompka 1959   25  0.4210  0.0131  0.0928  0.3622  0.4726  0.41
Tomsic 1995   27  0.4221  0.0020  0.0829  0.3611  0.4925  0.42
Uninsky 1932   46  0.3983  0.0059  0.0553  0.0536  0.1866  0.09
Uninsky 1971   15  0.4644  0.0012  0.138  0.568  0.618  0.58
Wasowski 1980   9  0.488  0.0113  0.1211  0.5411  0.5614  0.55
Zak 1937   68  0.3387  0.0078  0.0460  0.0452  0.0679  0.05
Zak 1951   66  0.3391  0.0077  0.0472  0.0453  0.0583  0.04
Average   1  0.661  0.821  0.811  0.9111  0.604  0.74
Random 1   91  -0.0681  0.0089  0.0289  0.0257  0.0489  0.03
Random 2   89  -0.0380  0.0090  0.0190  0.0175  0.0390  0.02
Random 3   90  -0.0490  0.0091  0.0191  0.0167  0.0391  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).