Ashkenazy 1981

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   58  0.3358  0.0062  0.0848  0.0847  0.0767  0.07
Anderszewski 2003   71  0.2275  0.0067  0.0476  0.0442  0.1366  0.07
Ashkenazy 1981   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bacha 2000   40  0.4262  0.0031  0.0837  0.387  0.6037  0.48
Badura 1965   43  0.4159  0.0041  0.0842  0.227  0.6440  0.38
Barbosa 1983   48  0.3842  0.0049  0.0664  0.0621  0.4453  0.16
Biret 1990   77  0.1650  0.0083  0.0482  0.0468  0.0481  0.04
Blet 2003   33  0.4619  0.0039  0.1039  0.3020  0.5639  0.41
Block 1995   35  0.4552  0.0029  0.1129  0.5413  0.6130  0.57
Blumental 1952   30  0.4760  0.0025  0.1228  0.543  0.7627  0.64
Boshniakovich 1969   49  0.3763  0.0043  0.0843  0.1636  0.3044  0.22
Brailowsky 1960   84  0.1316  0.0079  0.0477  0.0459  0.0670  0.05
Bunin 1987   32  0.4727  0.0036  0.1534  0.446  0.6533  0.53
Bunin 1987b   29  0.4764  0.0035  0.0933  0.456  0.6531  0.54
Chiu 1999   16  0.578  0.0216  0.2216  0.758  0.7218  0.73
Cohen 1997   70  0.2278  0.0080  0.0571  0.0568  0.0379  0.04
Cortot 1951   80  0.1681  0.0081  0.0478  0.0473  0.0388  0.03
Csalog 1996   63  0.3082  0.0064  0.0850  0.0844  0.1461  0.11
Czerny 1949   87  0.0471  0.0089  0.0288  0.0276  0.0485  0.03
Czerny 1990   10  0.609  0.0112  0.1513  0.792  0.887  0.83
Duchoud 2007   47  0.3983  0.0054  0.0663  0.0636  0.2460  0.12
Ezaki 2006   73  0.2045  0.0078  0.0575  0.0566  0.0475  0.04
Falvay 1989   38  0.4439  0.0040  0.0940  0.267  0.5341  0.37
Farrell 1958   74  0.2034  0.0077  0.0481  0.0469  0.0478  0.04
Ferenczy 1958   90  -0.0265  0.0090  0.0289  0.0267  0.0484  0.03
Fliere 1977   13  0.5966  0.0011  0.1611  0.7915  0.7414  0.76
Fou 1978   17  0.5532  0.0017  0.1915  0.752  0.7715  0.76
Francois 1956   83  0.1467  0.0082  0.0383  0.0374  0.0389  0.03
Friedman 1923   25  0.5076  0.0028  0.1425  0.5911  0.7225  0.65
Friedman 1923b   23  0.5037  0.0027  0.1224  0.6012  0.7422  0.67
Friedman 1930   19  0.5322  0.0020  0.1220  0.676  0.7719  0.72
Garcia 2007   51  0.3647  0.0046  0.0667  0.0621  0.4454  0.16
Garcia 2007b   18  0.5415  0.0019  0.1818  0.692  0.8217  0.75
Gierzod 1998   66  0.2568  0.0058  0.0658  0.0623  0.4648  0.17
Gornostaeva 1994   79  0.1669  0.0076  0.0479  0.0486  0.0287  0.03
Groot 1988   8  0.6220  0.0013  0.209  0.803  0.7813  0.79
Harasiewicz 1955   42  0.4133  0.0053  0.0570  0.0549  0.0673  0.05
Hatto 1993   5  0.665  0.044  0.395  0.873  0.874  0.87
Hatto 1997   34  0.4572  0.0033  0.0932  0.479  0.5535  0.51
Horowitz 1949   36  0.4510  0.0134  0.0936  0.3816  0.6336  0.49
Indjic 1988   3  0.683  0.083  0.374  0.873  0.883  0.87
Kapell 1951   22  0.5025  0.0026  0.1027  0.589  0.6228  0.60
Kissin 1993   4  0.664  0.045  0.373  0.882  0.902  0.89
Kushner 1989   7  0.646  0.028  0.187  0.823  0.839  0.82
Luisada 1991   9  0.6026  0.009  0.148  0.823  0.828  0.82
Lushtak 2004   65  0.2854  0.0065  0.0946  0.0939  0.1362  0.11
Malcuzynski 1961   20  0.5248  0.0021  0.1522  0.636  0.6626  0.64
Magaloff 1978   59  0.3277  0.0057  0.0668  0.0644  0.1265  0.08
Magin 1975   14  0.587  0.0215  0.2614  0.754  0.8612  0.80
Michalowski 1933   24  0.5017  0.0023  0.1221  0.663  0.7320  0.69
Milkina 1970   68  0.2355  0.0069  0.0661  0.0654  0.0668  0.06
Mohovich 1999   67  0.2373  0.0068  0.0666  0.0650  0.0769  0.06
Moravec 1969   28  0.4836  0.0022  0.1323  0.624  0.7023  0.66
Morozova 2008   26  0.4930  0.0018  0.1519  0.695  0.6921  0.69
Neighaus 1950   54  0.3643  0.0060  0.0659  0.0657  0.0572  0.05
Niedzielski 1931   15  0.5811  0.017  0.2312  0.792  0.8211  0.80
Ohlsson 1999   31  0.4770  0.0030  0.1230  0.5312  0.6129  0.57
Osinska 1989   81  0.1687  0.0074  0.0574  0.0562  0.0476  0.04
Pachmann 1927   41  0.4144  0.0042  0.0841  0.2218  0.6242  0.37
Paderewski 1930   21  0.5124  0.0024  0.1526  0.598  0.7224  0.65
Perlemuter 1992   39  0.4421  0.0037  0.1135  0.3912  0.6634  0.51
Pierdomenico 2008   50  0.3779  0.0052  0.0662  0.0621  0.4350  0.16
Poblocka 1999   55  0.3588  0.0055  0.0851  0.0841  0.2158  0.13
Rabcewiczowa 1932   85  0.0828  0.0084  0.0386  0.0380  0.0383  0.03
Rachmaninoff 1923   37  0.4451  0.0038  0.1238  0.3719  0.5938  0.47
Rangell 2001   72  0.2161  0.0075  0.0480  0.0473  0.0480  0.04
Richter 1976   11  0.5912  0.0110  0.1610  0.804  0.8310  0.81
Rosen 1989   64  0.2956  0.0063  0.0660  0.0661  0.0471  0.05
Rosenthal 1930   62  0.3046  0.0066  0.0755  0.0745  0.1363  0.10
Rosenthal 1931   76  0.1757  0.0071  0.0665  0.0638  0.3457  0.14
Rosenthal 1931b   75  0.1853  0.0073  0.0847  0.0838  0.3456  0.16
Rosenthal 1931c   69  0.2389  0.0072  0.0572  0.0553  0.0574  0.05
Rosenthal 1931d   78  0.1623  0.0070  0.0752  0.0732  0.3755  0.16
Rossi 2007   89  -0.0190  0.0087  0.0287  0.0280  0.0390  0.02
Rubinstein 1939   60  0.3240  0.0050  0.0669  0.0610  0.4251  0.16
Rubinstein 1952   56  0.3531  0.0056  0.0849  0.0831  0.3549  0.17
Rubinstein 1966   52  0.3641  0.0051  0.0754  0.0734  0.2059  0.12
Schilhawsky 1960   57  0.3374  0.0061  0.0756  0.0718  0.4647  0.18
Shebanova 2002   1  0.722  0.322  0.501  0.922  0.891  0.90
Smith 1975   82  0.1484  0.0085  0.0384  0.0376  0.0382  0.03
Sokolov 2002   61  0.3238  0.0059  0.0573  0.0553  0.0477  0.04
Sztompka 1959   12  0.5914  0.0014  0.2317  0.735  0.7716  0.75
Tomsic 1995   45  0.4080  0.0045  0.0744  0.1517  0.3643  0.23
Uninsky 1932   6  0.6413  0.016  0.316  0.852  0.845  0.84
Uninsky 1971   53  0.3618  0.0044  0.0545  0.1337  0.2052  0.16
Wasowski 1980   27  0.4935  0.0032  0.1031  0.5018  0.5732  0.53
Zak 1937   44  0.4049  0.0047  0.0757  0.0718  0.4945  0.19
Zak 1951   46  0.3929  0.0048  0.0753  0.0717  0.5246  0.19
Average   2  0.721  0.361  0.362  0.911  0.756  0.83
Random 1   86  0.0591  0.0086  0.0385  0.0330  0.2664  0.09
Random 2   88  0.0385  0.0088  0.0290  0.0270  0.0486  0.03
Random 3   91  -0.0386  0.0091  0.0191  0.0182  0.0291  0.01

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).