Blet 2003

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   2  0.8022  0.016  0.116  0.527  0.435  0.47
Anderszewski 2003   58  0.5446  0.0036  0.0640  0.1229  0.2437  0.17
Ashkenazy 1981   40  0.6243  0.0027  0.0827  0.2333  0.2134  0.22
Bacha 2000   71  0.4640  0.0086  0.0381  0.0378  0.0372  0.03
Badura 1965   43  0.6156  0.0019  0.0820  0.343  0.606  0.45
Barbosa 1983   10  0.751  0.191  0.192  0.632  0.581  0.60
Biret 1990   27  0.6674  0.0044  0.0443  0.1148  0.0552  0.07
Blet 2003   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Block 1995   72  0.4619  0.0147  0.0457  0.0454  0.0466  0.04
Blumental 1952   75  0.4436  0.0063  0.0463  0.0441  0.1054  0.06
Boshniakovich 1969   53  0.5757  0.0066  0.0376  0.0349  0.0667  0.04
Brailowsky 1960   65  0.4947  0.0082  0.0285  0.0282  0.0386  0.02
Bunin 1987   7  0.759  0.0311  0.1114  0.4010  0.4611  0.43
Bunin 1987b   8  0.7565  0.0012  0.1813  0.4010  0.469  0.43
Chiu 1999   54  0.5637  0.0056  0.0646  0.0640  0.1349  0.09
Cohen 1997   87  0.1982  0.0088  0.0380  0.0383  0.0289  0.02
Cortot 1951   39  0.6253  0.0034  0.0542  0.1224  0.3235  0.20
Csalog 1996   67  0.4864  0.0077  0.0465  0.0448  0.0757  0.05
Czerny 1949   26  0.6680  0.0025  0.0824  0.3224  0.3225  0.32
Czerny 1990   3  0.7727  0.005  0.119  0.4913  0.398  0.44
Duchoud 2007   15  0.7313  0.027  0.148  0.495  0.513  0.50
Ezaki 2006   4  0.7666  0.009  0.147  0.5120  0.3214  0.40
Falvay 1989   31  0.6416  0.0161  0.0459  0.0458  0.0460  0.04
Farrell 1958   48  0.5881  0.0071  0.0464  0.0455  0.0461  0.04
Ferenczy 1958   21  0.6939  0.0029  0.0826  0.2514  0.4124  0.32
Fliere 1977   5  0.7611  0.0210  0.155  0.5220  0.3115  0.40
Fou 1978   45  0.5948  0.0052  0.0462  0.0462  0.0562  0.04
Francois 1956   33  0.6467  0.0037  0.0638  0.1534  0.1539  0.15
Friedman 1923   86  0.2760  0.0069  0.0460  0.0416  0.4243  0.13
Friedman 1923b   85  0.2733  0.0068  0.0372  0.0317  0.4146  0.11
Friedman 1930   83  0.3328  0.0042  0.0641  0.1228  0.3036  0.19
Garcia 2007   78  0.3945  0.0074  0.0374  0.0340  0.1651  0.07
Garcia 2007b   88  0.1621  0.0185  0.0384  0.0370  0.0385  0.03
Gierzod 1998   52  0.5758  0.0065  0.0371  0.0377  0.0382  0.03
Gornostaeva 1994   32  0.6417  0.0121  0.0739  0.1442  0.1342  0.13
Groot 1988   23  0.6775  0.0051  0.0461  0.0456  0.0468  0.04
Harasiewicz 1955   68  0.4878  0.0046  0.0549  0.0554  0.0469  0.04
Hatto 1993   73  0.4524  0.0141  0.0737  0.1518  0.3533  0.23
Hatto 1997   57  0.5554  0.0035  0.0628  0.2317  0.3926  0.30
Horowitz 1949   74  0.4555  0.0075  0.0378  0.0368  0.0380  0.03
Indjic 1988   66  0.4976  0.0040  0.0431  0.1813  0.4029  0.27
Kapell 1951   16  0.7331  0.0018  0.0817  0.3819  0.4316  0.40
Kissin 1993   44  0.6130  0.0059  0.0456  0.0462  0.0465  0.04
Kushner 1989   24  0.6734  0.0049  0.0552  0.0553  0.0463  0.04
Luisada 1991   36  0.6215  0.0148  0.0550  0.0547  0.0655  0.05
Lushtak 2004   13  0.744  0.084  0.153  0.5410  0.512  0.52
Malcuzynski 1961   22  0.6826  0.0138  0.0535  0.1652  0.0450  0.08
Magaloff 1978   61  0.5383  0.0050  0.0455  0.0467  0.0374  0.03
Magin 1975   69  0.4832  0.0072  0.0468  0.0469  0.0378  0.03
Michalowski 1933   80  0.3679  0.0032  0.0529  0.2124  0.3728  0.28
Milkina 1970   55  0.5623  0.0176  0.0375  0.0371  0.0479  0.03
Mohovich 1999   6  0.7620  0.0120  0.1010  0.4316  0.3718  0.40
Moravec 1969   49  0.5870  0.0073  0.0467  0.0456  0.0459  0.04
Morozova 2008   28  0.6661  0.0028  0.0725  0.2916  0.2431  0.26
Neighaus 1950   25  0.6768  0.0022  0.0612  0.4132  0.2722  0.33
Niedzielski 1931   76  0.4244  0.0079  0.0382  0.0367  0.0377  0.03
Ohlsson 1999   29  0.6571  0.0043  0.0633  0.1739  0.1438  0.15
Osinska 1989   35  0.6485  0.0053  0.0466  0.0445  0.0853  0.06
Pachmann 1927   59  0.5473  0.0060  0.0454  0.0427  0.2845  0.11
Paderewski 1930   42  0.6112  0.0233  0.0630  0.2114  0.3827  0.28
Perlemuter 1992   18  0.7218  0.0117  0.0816  0.3911  0.4312  0.41
Pierdomenico 2008   70  0.4772  0.0081  0.0470  0.0467  0.0375  0.03
Poblocka 1999   11  0.7442  0.0015  0.0915  0.4010  0.487  0.44
Rabcewiczowa 1932   51  0.5786  0.0054  0.0553  0.0531  0.2147  0.10
Rachmaninoff 1923   50  0.5735  0.0045  0.0544  0.0937  0.1444  0.11
Rangell 2001   60  0.545  0.0513  0.0732  0.1713  0.3132  0.23
Richter 1976   41  0.6229  0.0058  0.0548  0.0546  0.0656  0.05
Rosen 1989   47  0.5951  0.0039  0.0445  0.0941  0.1841  0.13
Rosenthal 1930   62  0.5169  0.0070  0.0377  0.0355  0.0483  0.03
Rosenthal 1931   77  0.3984  0.0078  0.0379  0.0373  0.0381  0.03
Rosenthal 1931b   82  0.3487  0.0083  0.0288  0.0274  0.0391  0.02
Rosenthal 1931c   64  0.5188  0.0067  0.0373  0.0352  0.0570  0.04
Rosenthal 1931d   79  0.3791  0.0084  0.0286  0.0282  0.0290  0.02
Rossi 2007   84  0.2889  0.0080  0.0383  0.0365  0.0373  0.03
Rubinstein 1939   81  0.3549  0.0087  0.0287  0.0250  0.0576  0.03
Rubinstein 1952   63  0.5125  0.0164  0.0469  0.0456  0.0571  0.04
Rubinstein 1966   20  0.6952  0.0031  0.0634  0.1616  0.4530  0.27
Schilhawsky 1960   34  0.647  0.0316  0.0819  0.3718  0.3620  0.36
Shebanova 2002   46  0.5941  0.0062  0.0551  0.0557  0.0558  0.05
Smith 1975   14  0.732  0.143  0.164  0.542  0.454  0.49
Sokolov 2002   19  0.7190  0.0026  0.0723  0.3226  0.3521  0.33
Sztompka 1959   9  0.758  0.038  0.1411  0.4216  0.4113  0.41
Tomsic 1995   12  0.7414  0.0123  0.0722  0.3423  0.3123  0.32
Uninsky 1932   30  0.6510  0.0224  0.0721  0.3421  0.4119  0.37
Uninsky 1971   17  0.7238  0.0014  0.0718  0.3817  0.4317  0.40
Wasowski 1980   56  0.556  0.0430  0.0736  0.1635  0.1240  0.14
Zak 1937   37  0.6250  0.0057  0.0458  0.0453  0.0564  0.04
Zak 1951   38  0.6259  0.0055  0.0647  0.0640  0.1748  0.10
Average   1  0.823  0.122  0.171  0.6323  0.3010  0.43
Random 1   90  -0.0763  0.0091  0.0191  0.0158  0.0488  0.02
Random 2   91  -0.1662  0.0090  0.0190  0.0153  0.0387  0.02
Random 3   89  0.0277  0.0089  0.0289  0.0251  0.0584  0.03

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).