Groot 1988

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   12  0.566  0.0217  0.1117  0.3854  0.0539  0.14
Anderszewski 2003   26  0.5233  0.0034  0.0533  0.1843  0.2030  0.19
Ashkenazy 1981   46  0.4945  0.0056  0.0653  0.0656  0.0666  0.06
Bacha 2000   29  0.5262  0.0051  0.0557  0.0521  0.3541  0.13
Badura 1965   65  0.4319  0.0075  0.0482  0.0451  0.0673  0.05
Barbosa 1983   30  0.5165  0.0027  0.0927  0.2627  0.4321  0.33
Biret 1990   3  0.6037  0.006  0.125  0.4921  0.409  0.44
Blet 2003   47  0.4916  0.0152  0.0648  0.0620  0.3438  0.14
Block 1995   18  0.5411  0.017  0.1013  0.4314  0.498  0.46
Blumental 1952   17  0.5427  0.0021  0.0724  0.3145  0.0933  0.17
Boshniakovich 1969   38  0.5155  0.0049  0.0651  0.0670  0.0474  0.05
Brailowsky 1960   6  0.594  0.0313  0.1014  0.4310  0.662  0.53
Bunin 1987   63  0.4453  0.0072  0.0650  0.0630  0.3240  0.14
Bunin 1987b   64  0.4342  0.0071  0.0647  0.0631  0.3337  0.14
Chiu 1999   41  0.5044  0.0028  0.1026  0.2710  0.4020  0.33
Cohen 1997   82  0.3835  0.0067  0.0466  0.0421  0.3046  0.11
Cortot 1951   66  0.4354  0.0073  0.0562  0.0532  0.3143  0.12
Csalog 1996   50  0.4878  0.0031  0.0544  0.0927  0.3034  0.16
Czerny 1949   67  0.4358  0.0059  0.0474  0.0463  0.0587  0.04
Czerny 1990   36  0.5143  0.0029  0.0728  0.2545  0.1331  0.18
Duchoud 2007   72  0.4282  0.0068  0.0469  0.0424  0.2945  0.11
Ezaki 2006   23  0.5373  0.0038  0.0439  0.1267  0.0464  0.07
Falvay 1989   16  0.5415  0.0123  0.0623  0.3119  0.4714  0.38
Farrell 1958   9  0.5750  0.0012  0.1211  0.4721  0.455  0.46
Ferenczy 1958   56  0.467  0.0146  0.0560  0.0542  0.1654  0.09
Fliere 1977   4  0.6036  0.004  0.143  0.5937  0.2018  0.34
Fou 1978   14  0.568  0.0116  0.1119  0.3536  0.1925  0.26
Francois 1956   35  0.5148  0.0035  0.0534  0.1818  0.4923  0.30
Friedman 1923   75  0.3972  0.0076  0.0476  0.0448  0.0677  0.05
Friedman 1923b   79  0.3979  0.0077  0.0473  0.0448  0.0675  0.05
Friedman 1930   70  0.4251  0.0074  0.0558  0.0557  0.0572  0.05
Garcia 2007   69  0.4249  0.0069  0.0555  0.0541  0.1951  0.10
Garcia 2007b   52  0.4856  0.0033  0.0538  0.1333  0.2632  0.18
Gierzod 1998   42  0.5077  0.0041  0.0542  0.1157  0.0565  0.07
Gornostaeva 1994   62  0.4457  0.0058  0.0746  0.0733  0.2142  0.12
Groot 1988   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Harasiewicz 1955   43  0.5083  0.0048  0.0654  0.0658  0.0576  0.05
Hatto 1993   40  0.5184  0.0042  0.0435  0.1555  0.0556  0.09
Hatto 1997   32  0.5185  0.0036  0.0532  0.2045  0.1136  0.15
Horowitz 1949   27  0.5221  0.0045  0.0445  0.0926  0.4528  0.20
Indjic 1988   39  0.5163  0.0043  0.0637  0.1551  0.0653  0.09
Kapell 1951   37  0.5128  0.0039  0.0536  0.1548  0.0749  0.10
Kissin 1993   57  0.4576  0.0062  0.0556  0.0576  0.0483  0.04
Kushner 1989   20  0.5375  0.0026  0.0822  0.3241  0.1327  0.20
Luisada 1991   28  0.5260  0.0044  0.0443  0.1055  0.0658  0.08
Lushtak 2004   13  0.5641  0.0011  0.109  0.4719  0.457  0.46
Malcuzynski 1961   68  0.4324  0.0070  0.0467  0.0455  0.0579  0.04
Magaloff 1978   21  0.5312  0.0115  0.1118  0.3713  0.4311  0.40
Magin 1975   34  0.5161  0.0019  0.1120  0.3437  0.2324  0.28
Michalowski 1933   87  0.3126  0.0087  0.0481  0.0462  0.0482  0.04
Milkina 1970   5  0.5923  0.008  0.098  0.4833  0.3312  0.40
Mohovich 1999   2  0.642  0.182  0.372  0.616  0.661  0.63
Moravec 1969   74  0.4046  0.0084  0.0385  0.0355  0.0578  0.04
Morozova 2008   49  0.4813  0.0147  0.0464  0.0449  0.0671  0.05
Neighaus 1950   44  0.5031  0.0053  0.0559  0.0543  0.1263  0.08
Niedzielski 1931   71  0.4220  0.0064  0.0561  0.0559  0.0569  0.05
Ohlsson 1999   54  0.4725  0.0037  0.0541  0.1238  0.1935  0.15
Osinska 1989   11  0.5622  0.009  0.0910  0.4735  0.2419  0.34
Pachmann 1927   88  0.3189  0.0088  0.0480  0.0463  0.0481  0.04
Paderewski 1930   84  0.3766  0.0079  0.0387  0.0377  0.0389  0.03
Perlemuter 1992   45  0.4934  0.0057  0.0649  0.0640  0.1747  0.10
Pierdomenico 2008   61  0.4580  0.0022  0.0829  0.2511  0.4915  0.35
Poblocka 1999   53  0.4768  0.0040  0.0540  0.1250  0.0659  0.08
Rabcewiczowa 1932   55  0.4667  0.0054  0.0563  0.0542  0.1260  0.08
Rachmaninoff 1923   8  0.575  0.033  0.1212  0.4617  0.3910  0.42
Rangell 2001   83  0.3864  0.0063  0.0471  0.0443  0.1862  0.08
Richter 1976   73  0.4129  0.0066  0.0472  0.0458  0.0580  0.04
Rosen 1989   24  0.5314  0.0118  0.1015  0.3928  0.3117  0.35
Rosenthal 1930   76  0.3939  0.0078  0.0468  0.0435  0.2552  0.10
Rosenthal 1931   85  0.3769  0.0083  0.0484  0.0436  0.2350  0.10
Rosenthal 1931b   77  0.3986  0.0081  0.0388  0.0329  0.2857  0.09
Rosenthal 1931c   86  0.3571  0.0086  0.0475  0.0445  0.1067  0.06
Rosenthal 1931d   81  0.3938  0.0082  0.0386  0.0332  0.3055  0.09
Rossi 2007   80  0.3987  0.0080  0.0483  0.0451  0.0668  0.05
Rubinstein 1939   48  0.4859  0.0055  0.0465  0.0437  0.2448  0.10
Rubinstein 1952   15  0.553  0.0514  0.127  0.4815  0.494  0.48
Rubinstein 1966   7  0.5910  0.015  0.164  0.5415  0.523  0.53
Schilhawsky 1960   58  0.4552  0.0060  0.0477  0.0467  0.0485  0.04
Shebanova 2002   10  0.5747  0.0010  0.116  0.4827  0.3213  0.39
Smith 1975   22  0.5317  0.0125  0.0725  0.3020  0.3422  0.32
Sokolov 2002   59  0.4532  0.0065  0.0470  0.0474  0.0388  0.03
Sztompka 1959   51  0.4840  0.0050  0.0652  0.0667  0.0570  0.05
Tomsic 1995   19  0.5418  0.0030  0.0730  0.2316  0.5216  0.35
Uninsky 1932   78  0.3970  0.0085  0.0479  0.0474  0.0486  0.04
Uninsky 1971   60  0.4574  0.0061  0.0478  0.0461  0.0584  0.04
Wasowski 1980   33  0.519  0.0132  0.0531  0.2142  0.1829  0.19
Zak 1937   31  0.5188  0.0024  0.0721  0.3369  0.0444  0.11
Zak 1951   25  0.5330  0.0020  0.1016  0.3841  0.1326  0.22
Average   1  0.681  0.521  0.511  0.7836  0.276  0.46
Random 1   91  -0.1490  0.0090  0.0190  0.0178  0.0291  0.01
Random 2   90  -0.1091  0.0091  0.0191  0.0187  0.0290  0.01
Random 3   89  -0.0181  0.0089  0.0289  0.0213  0.3461  0.08

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).