Block 1995

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   39  0.4948  0.0046  0.0470  0.0456  0.0573  0.04
Anderszewski 2003   1  0.643  0.142  0.203  0.6712  0.512  0.58
Ashkenazy 1981   63  0.4184  0.0060  0.0558  0.0557  0.0558  0.05
Bacha 2000   66  0.4049  0.0058  0.0477  0.0465  0.0460  0.04
Badura 1965   40  0.4944  0.0062  0.0650  0.0646  0.0849  0.07
Barbosa 1983   45  0.4716  0.0116  0.0722  0.3425  0.4410  0.39
Biret 1990   28  0.5133  0.0019  0.0919  0.3750  0.0532  0.14
Blet 2003   55  0.4415  0.0153  0.0556  0.0533  0.1939  0.10
Block 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Blumental 1952   68  0.4023  0.0032  0.0636  0.1858  0.0544  0.09
Boshniakovich 1969   20  0.5272  0.0024  0.0624  0.3144  0.1024  0.18
Brailowsky 1960   11  0.569  0.0118  0.0814  0.478  0.664  0.56
Bunin 1987   74  0.3767  0.0075  0.0464  0.0458  0.0576  0.04
Bunin 1987b   77  0.3569  0.0076  0.0472  0.0460  0.0467  0.04
Chiu 1999   32  0.5034  0.0034  0.0635  0.1936  0.1525  0.17
Cohen 1997   87  0.1758  0.0087  0.0478  0.0486  0.0284  0.03
Cortot 1951   60  0.4324  0.0050  0.0474  0.0466  0.0477  0.04
Csalog 1996   69  0.3945  0.0057  0.0473  0.0433  0.1846  0.08
Czerny 1949   52  0.4679  0.0069  0.0561  0.0572  0.0472  0.04
Czerny 1990   26  0.5251  0.0038  0.0637  0.1769  0.0447  0.08
Duchoud 2007   76  0.3585  0.0065  0.0467  0.0456  0.0574  0.04
Ezaki 2006   4  0.615  0.115  0.166  0.5727  0.348  0.44
Falvay 1989   13  0.547  0.0414  0.1015  0.4623  0.465  0.46
Farrell 1958   43  0.4871  0.0035  0.0829  0.2256  0.0636  0.11
Ferenczy 1958   23  0.5226  0.0040  0.0541  0.1315  0.4919  0.25
Fliere 1977   6  0.572  0.164  0.184  0.6140  0.1715  0.32
Fou 1978   9  0.5617  0.0111  0.165  0.6028  0.279  0.40
Francois 1956   78  0.3473  0.0077  0.0379  0.0384  0.0388  0.03
Friedman 1923   44  0.4846  0.0055  0.0469  0.0453  0.0659  0.05
Friedman 1923b   46  0.4780  0.0056  0.0649  0.0655  0.0652  0.06
Friedman 1930   57  0.4370  0.0073  0.0745  0.0762  0.0551  0.06
Garcia 2007   62  0.4181  0.0070  0.0463  0.0441  0.1943  0.09
Garcia 2007b   67  0.4037  0.0071  0.0651  0.0684  0.0378  0.04
Gierzod 1998   34  0.5027  0.0015  0.0923  0.3251  0.0631  0.14
Gornostaeva 1994   17  0.5335  0.0021  0.1120  0.3627  0.3114  0.33
Groot 1988   15  0.546  0.047  0.1213  0.4912  0.436  0.46
Harasiewicz 1955   3  0.6212  0.016  0.159  0.5344  0.1120  0.24
Hatto 1993   51  0.4629  0.0042  0.0543  0.1155  0.0550  0.07
Hatto 1997   49  0.4742  0.0052  0.0648  0.0662  0.0457  0.05
Horowitz 1949   35  0.5064  0.0047  0.0471  0.0431  0.3834  0.12
Indjic 1988   47  0.4774  0.0051  0.0475  0.0461  0.0568  0.04
Kapell 1951   24  0.528  0.0313  0.178  0.5428  0.2611  0.37
Kissin 1993   27  0.5138  0.0043  0.0442  0.1169  0.0448  0.07
Kushner 1989   30  0.5055  0.0028  0.0728  0.2453  0.0633  0.12
Luisada 1991   25  0.5247  0.0036  0.0832  0.2156  0.0537  0.10
Lushtak 2004   29  0.5165  0.0041  0.0639  0.1347  0.0740  0.10
Malcuzynski 1961   48  0.4759  0.0045  0.0560  0.0546  0.0655  0.05
Magaloff 1978   64  0.4152  0.0074  0.0647  0.0684  0.0280  0.03
Magin 1975   38  0.4975  0.0031  0.0731  0.2267  0.0442  0.09
Michalowski 1933   82  0.3186  0.0079  0.0383  0.0373  0.0382  0.03
Milkina 1970   12  0.5587  0.0020  0.0921  0.3445  0.0728  0.15
Mohovich 1999   8  0.574  0.133  0.212  0.729  0.651  0.68
Moravec 1969   75  0.3653  0.0078  0.0380  0.0368  0.0479  0.03
Morozova 2008   41  0.4988  0.0048  0.0552  0.0566  0.0470  0.04
Neighaus 1950   31  0.5014  0.0127  0.0630  0.2237  0.1621  0.19
Niedzielski 1931   59  0.4356  0.0068  0.0468  0.0454  0.0565  0.04
Ohlsson 1999   54  0.4450  0.0030  0.0634  0.1952  0.0538  0.10
Osinska 1989   5  0.5821  0.0012  0.1710  0.5259  0.0622  0.18
Pachmann 1927   72  0.3861  0.0082  0.0385  0.0357  0.0481  0.03
Paderewski 1930   86  0.2289  0.0086  0.0382  0.0387  0.0289  0.02
Perlemuter 1992   61  0.4332  0.0067  0.0553  0.0578  0.0361  0.04
Pierdomenico 2008   81  0.3276  0.0064  0.0465  0.0461  0.0564  0.04
Poblocka 1999   2  0.631  0.171  0.171  0.7322  0.453  0.57
Rabcewiczowa 1932   58  0.4318  0.0154  0.0466  0.0458  0.0566  0.04
Rachmaninoff 1923   36  0.4960  0.0049  0.0554  0.0564  0.0463  0.04
Rangell 2001   53  0.4413  0.0123  0.0725  0.2817  0.4313  0.35
Richter 1976   18  0.5266  0.0044  0.0444  0.0838  0.2530  0.14
Rosen 1989   33  0.5020  0.0017  0.0817  0.4136  0.1916  0.28
Rosenthal 1930   79  0.3377  0.0081  0.0386  0.0381  0.0383  0.03
Rosenthal 1931   80  0.3230  0.0080  0.0476  0.0458  0.0569  0.04
Rosenthal 1931b   84  0.2831  0.0084  0.0287  0.0264  0.0586  0.03
Rosenthal 1931c   85  0.2662  0.0085  0.0384  0.0382  0.0387  0.03
Rosenthal 1931d   83  0.3078  0.0083  0.0381  0.0372  0.0485  0.03
Rossi 2007   71  0.3836  0.0066  0.0562  0.0551  0.0653  0.05
Rubinstein 1939   65  0.4182  0.0059  0.0557  0.0550  0.0554  0.05
Rubinstein 1952   70  0.3822  0.0039  0.0640  0.1344  0.1135  0.12
Rubinstein 1966   50  0.4643  0.0033  0.0626  0.2743  0.1223  0.18
Schilhawsky 1960   56  0.4468  0.0072  0.0746  0.0776  0.0356  0.05
Shebanova 2002   10  0.5611  0.019  0.137  0.5543  0.1218  0.26
Smith 1975   42  0.4854  0.0037  0.0738  0.1665  0.0445  0.08
Sokolov 2002   73  0.3840  0.0063  0.0555  0.0571  0.0362  0.04
Sztompka 1959   14  0.5439  0.0010  0.1412  0.5043  0.1517  0.27
Tomsic 1995   21  0.5241  0.0026  0.0727  0.2511  0.5512  0.37
Uninsky 1932   37  0.4928  0.0061  0.0559  0.0565  0.0471  0.04
Uninsky 1971   19  0.5219  0.0029  0.0633  0.2044  0.1326  0.16
Wasowski 1980   7  0.5710  0.018  0.1211  0.5126  0.397  0.45
Zak 1937   16  0.5425  0.0022  0.1016  0.4360  0.0527  0.15
Zak 1951   22  0.5283  0.0025  0.0718  0.3963  0.0529  0.14
Random 1   88  -0.0257  0.0088  0.0288  0.024  0.4941  0.10
Random 2   90  -0.1063  0.0090  0.0190  0.0181  0.0290  0.01
Random 3   89  -0.0690  0.0089  0.0189  0.0136  0.1775  0.04

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).