Blet 2003

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   28  0.4052  0.0051  0.0556  0.0537  0.1843  0.09
Anderszewski 2003   36  0.3978  0.0054  0.0746  0.0765  0.0551  0.06
Ashkenazy 1981   19  0.4174  0.0047  0.0651  0.0624  0.2931  0.13
Bacha 2000   48  0.3742  0.0022  0.0624  0.2533  0.2613  0.25
Badura 1965   22  0.4123  0.0129  0.0630  0.2238  0.1421  0.18
Barbosa 1983   37  0.3941  0.0064  0.0372  0.0381  0.0375  0.03
Biret 1990   13  0.4368  0.0010  0.0710  0.4551  0.0626  0.16
Blet 2003   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Block 1995   67  0.3229  0.0027  0.0641  0.1453  0.0548  0.08
Blumental 1952   38  0.3837  0.0024  0.0919  0.3044  0.1220  0.19
Boshniakovich 1969   4  0.4813  0.015  0.154  0.5362  0.0525  0.16
Brailowsky 1960   25  0.4051  0.0040  0.0637  0.1652  0.0637  0.10
Bunin 1987   53  0.3644  0.0035  0.0625  0.2536  0.1619  0.20
Bunin 1987b   49  0.3745  0.0036  0.0621  0.2633  0.2314  0.24
Chiu 1999   79  0.2673  0.0079  0.0287  0.0283  0.0284  0.02
Cohen 1997   72  0.3061  0.0034  0.0432  0.2024  0.2218  0.21
Cortot 1951   86  0.1869  0.0086  0.0286  0.0283  0.0289  0.02
Csalog 1996   6  0.453  0.064  0.235  0.5118  0.393  0.45
Czerny 1949   69  0.3175  0.0067  0.0377  0.0375  0.0380  0.03
Czerny 1990   57  0.3576  0.0062  0.0462  0.0485  0.0382  0.03
Duchoud 2007   84  0.2282  0.0082  0.0382  0.0364  0.0564  0.04
Ezaki 2006   15  0.4277  0.0041  0.0639  0.1573  0.0445  0.08
Falvay 1989   23  0.4153  0.0031  0.0644  0.1385  0.0349  0.06
Farrell 1958   87  0.1884  0.0087  0.0379  0.0386  0.0286  0.02
Ferenczy 1958   52  0.377  0.0223  0.0633  0.1936  0.2715  0.23
Fliere 1977   3  0.494  0.043  0.213  0.6040  0.187  0.33
Fou 1978   5  0.479  0.017  0.108  0.4750  0.0622  0.17
Francois 1956   56  0.3654  0.0060  0.0561  0.0558  0.0560  0.05
Friedman 1923   75  0.2849  0.0070  0.0378  0.0348  0.0669  0.04
Friedman 1923b   73  0.3062  0.0061  0.0559  0.0565  0.0466  0.04
Friedman 1930   76  0.2655  0.0075  0.0381  0.0363  0.0477  0.03
Garcia 2007   71  0.3056  0.0077  0.0463  0.0452  0.0565  0.04
Garcia 2007b   74  0.2970  0.0072  0.0373  0.0375  0.0483  0.03
Gierzod 1998   8  0.4371  0.0038  0.0623  0.2684  0.0344  0.09
Gornostaeva 1994   9  0.4326  0.0016  0.0813  0.3950  0.0528  0.14
Groot 1988   10  0.4324  0.0111  0.109  0.4739  0.1412  0.26
Harasiewicz 1955   17  0.4133  0.0055  0.0747  0.0782  0.0359  0.05
Hatto 1993   50  0.3727  0.0021  0.0718  0.3066  0.0435  0.11
Hatto 1997   43  0.3879  0.0020  0.0717  0.3363  0.0434  0.11
Horowitz 1949   40  0.385  0.0325  0.0629  0.2215  0.459  0.31
Indjic 1988   44  0.3722  0.0119  0.0816  0.3357  0.0529  0.13
Kapell 1951   51  0.3728  0.0048  0.0553  0.0564  0.0555  0.05
Kissin 1993   39  0.3866  0.0056  0.0555  0.0561  0.0557  0.05
Kushner 1989   18  0.4140  0.0050  0.0650  0.0678  0.0362  0.04
Luisada 1991   2  0.5116  0.012  0.222  0.6211  0.581  0.60
Lushtak 2004   26  0.4080  0.0030  0.0522  0.2674  0.0439  0.10
Malcuzynski 1961   63  0.3317  0.0173  0.0371  0.0388  0.0287  0.02
Magaloff 1978   64  0.3385  0.0076  0.0369  0.0373  0.0370  0.03
Magin 1975   7  0.456  0.0312  0.0820  0.2762  0.0438  0.10
Michalowski 1933   45  0.378  0.0226  0.0636  0.1611  0.5210  0.29
Milkina 1970   12  0.4338  0.0017  0.0914  0.3961  0.0527  0.14
Mohovich 1999   20  0.4125  0.0118  0.0811  0.4345  0.1017  0.21
Moravec 1969   42  0.3867  0.0053  0.0648  0.0665  0.0553  0.05
Morozova 2008   62  0.3339  0.0058  0.0649  0.0666  0.0558  0.05
Neighaus 1950   16  0.4220  0.016  0.107  0.4711  0.522  0.49
Niedzielski 1931   30  0.3912  0.0113  0.0615  0.3610  0.455  0.40
Ohlsson 1999   29  0.3911  0.0114  0.0627  0.2447  0.0633  0.12
Osinska 1989   27  0.4060  0.0042  0.0734  0.1968  0.0440  0.09
Pachmann 1927   88  0.1181  0.0088  0.0288  0.0289  0.0190  0.01
Paderewski 1930   85  0.2183  0.0085  0.0370  0.0357  0.0563  0.04
Perlemuter 1992   54  0.3610  0.0146  0.0557  0.0531  0.2732  0.12
Pierdomenico 2008   80  0.2636  0.0078  0.0383  0.0381  0.0372  0.03
Poblocka 1999   59  0.3458  0.0057  0.0554  0.0561  0.0654  0.05
Rabcewiczowa 1932   83  0.2390  0.0063  0.0366  0.0378  0.0373  0.03
Rachmaninoff 1923   68  0.3263  0.0074  0.0374  0.0375  0.0371  0.03
Rangell 2001   78  0.2632  0.0081  0.0384  0.0359  0.0667  0.04
Richter 1976   34  0.392  0.089  0.0935  0.1753  0.0447  0.08
Rosen 1989   58  0.3572  0.0071  0.0375  0.0384  0.0381  0.03
Rosenthal 1930   46  0.3743  0.0049  0.0558  0.0532  0.3530  0.13
Rosenthal 1931   47  0.3715  0.0133  0.0545  0.1034  0.2524  0.16
Rosenthal 1931b   35  0.3931  0.0032  0.0531  0.2115  0.508  0.32
Rosenthal 1931c   24  0.4050  0.0037  0.0628  0.2335  0.2116  0.22
Rosenthal 1931d   32  0.3921  0.0128  0.0726  0.2414  0.506  0.35
Rossi 2007   70  0.3157  0.0068  0.0380  0.0358  0.0561  0.04
Rubinstein 1939   77  0.2646  0.0080  0.0385  0.0389  0.0285  0.02
Rubinstein 1952   66  0.3291  0.0066  0.0464  0.0470  0.0468  0.04
Rubinstein 1966   61  0.3486  0.0069  0.0465  0.0481  0.0376  0.03
Schilhawsky 1960   60  0.3414  0.0139  0.0738  0.1550  0.0542  0.09
Shebanova 2002   81  0.2548  0.0083  0.0368  0.0384  0.0379  0.03
Smith 1975   11  0.4318  0.0115  0.0712  0.4044  0.1711  0.26
Sokolov 2002   14  0.4219  0.018  0.096  0.4928  0.404  0.44
Sztompka 1959   65  0.3330  0.0059  0.0560  0.0560  0.0556  0.05
Tomsic 1995   41  0.3859  0.0052  0.0652  0.0656  0.0650  0.06
Uninsky 1932   82  0.2587  0.0084  0.0376  0.0359  0.0478  0.03
Uninsky 1971   55  0.3664  0.0065  0.0367  0.0369  0.0474  0.03
Wasowski 1980   33  0.3934  0.0045  0.0743  0.1349  0.0736  0.10
Zak 1937   21  0.4135  0.0043  0.0540  0.1567  0.0446  0.08
Zak 1951   31  0.3947  0.0044  0.0642  0.1348  0.0641  0.09
Average   1  0.581  0.501  0.501  0.7564  0.0423  0.17
Random 1   90  -0.0688  0.0089  0.0290  0.0233  0.2152  0.06
Random 2   91  -0.0989  0.0091  0.0191  0.0187  0.0291  0.01
Random 3   89  -0.0465  0.0090  0.0289  0.0275  0.0388  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).