Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   4  0.6136  0.004  0.225  0.5633  0.325  0.42
Anderszewski 2003   50  0.4753  0.0046  0.0552  0.0568  0.0375  0.04
Ashkenazy 1981   41  0.4934  0.0031  0.0632  0.1954  0.0542  0.10
Bacha 2000   72  0.4063  0.0075  0.0377  0.0362  0.0563  0.04
Badura 1965   47  0.4867  0.0047  0.0557  0.0536  0.2935  0.12
Barbosa 1983   9  0.564  0.026  0.147  0.5216  0.444  0.48
Biret 1990   29  0.5122  0.0018  0.1319  0.4139  0.1613  0.26
Blet 2003   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Block 1995   63  0.438  0.0122  0.0834  0.1947  0.0638  0.11
Blumental 1952   66  0.4241  0.0056  0.0562  0.0563  0.0477  0.04
Boshniakovich 1969   21  0.5357  0.0034  0.0533  0.1953  0.0541  0.10
Brailowsky 1960   69  0.4274  0.0079  0.0387  0.0384  0.0382  0.03
Bunin 1987   54  0.4758  0.0055  0.0646  0.0641  0.1250  0.08
Bunin 1987b   53  0.4765  0.0054  0.0463  0.0440  0.1548  0.08
Chiu 1999   52  0.4748  0.0057  0.0558  0.0566  0.0467  0.04
Cohen 1997   88  0.2990  0.0083  0.0378  0.0366  0.0488  0.03
Cortot 1951   68  0.4275  0.0061  0.0559  0.0563  0.0478  0.04
Csalog 1996   49  0.477  0.0136  0.0544  0.1029  0.3224  0.18
Czerny 1949   57  0.4680  0.0063  0.0553  0.0559  0.0560  0.05
Czerny 1990   5  0.5656  0.0012  0.0912  0.4451  0.0627  0.16
Duchoud 2007   59  0.4566  0.0048  0.0551  0.0531  0.2734  0.12
Ezaki 2006   17  0.5454  0.0028  0.0726  0.2864  0.0436  0.11
Falvay 1989   55  0.4677  0.0076  0.0474  0.0475  0.0469  0.04
Farrell 1958   70  0.4278  0.0077  0.0550  0.0566  0.0557  0.05
Ferenczy 1958   51  0.4745  0.0037  0.0543  0.1122  0.3621  0.20
Fliere 1977   2  0.6514  0.012  0.502  0.7524  0.462  0.59
Fou 1978   14  0.5440  0.0019  0.0915  0.4351  0.0626  0.16
Francois 1956   43  0.4943  0.0051  0.0468  0.0448  0.0581  0.04
Friedman 1923   79  0.3886  0.0070  0.0467  0.0432  0.2046  0.09
Friedman 1923b   76  0.3849  0.0068  0.0471  0.0432  0.2145  0.09
Friedman 1930   73  0.3928  0.0064  0.0560  0.0561  0.0559  0.05
Garcia 2007   80  0.3788  0.0073  0.0476  0.0454  0.0661  0.05
Garcia 2007b   82  0.3724  0.0069  0.0469  0.0444  0.0954  0.06
Gierzod 1998   48  0.4787  0.0058  0.0554  0.0588  0.0287  0.03
Gornostaeva 1994   40  0.4921  0.0029  0.0736  0.1567  0.0451  0.08
Groot 1988   20  0.5319  0.0026  0.0720  0.3939  0.1912  0.27
Harasiewicz 1955   32  0.5125  0.0025  0.0722  0.3260  0.0531  0.13
Hatto 1993   45  0.4910  0.0115  0.1318  0.4140  0.1318  0.23
Hatto 1997   35  0.5073  0.0016  0.1121  0.3829  0.239  0.30
Horowitz 1949   65  0.4230  0.0074  0.0381  0.0366  0.0385  0.03
Indjic 1988   36  0.5038  0.0014  0.1017  0.4240  0.1514  0.25
Kapell 1951   11  0.5611  0.017  0.086  0.5238  0.217  0.33
Kissin 1993   15  0.5420  0.0024  0.0725  0.2849  0.0729  0.14
Kushner 1989   24  0.5283  0.0045  0.0545  0.1055  0.0647  0.08
Luisada 1991   3  0.612  0.063  0.283  0.6712  0.531  0.60
Lushtak 2004   18  0.5432  0.0010  0.1211  0.4744  0.1216  0.24
Malcuzynski 1961   56  0.469  0.0166  0.0464  0.0469  0.0473  0.04
Magaloff 1978   67  0.4285  0.0072  0.0475  0.0482  0.0383  0.03
Magin 1975   42  0.4912  0.0159  0.0647  0.0667  0.0456  0.05
Michalowski 1933   64  0.4326  0.0044  0.0642  0.1132  0.3222  0.19
Milkina 1970   44  0.4944  0.0052  0.0555  0.0573  0.0472  0.04
Mohovich 1999   16  0.5417  0.0021  0.1013  0.4452  0.0725  0.18
Moravec 1969   62  0.4464  0.0071  0.0472  0.0468  0.0464  0.04
Morozova 2008   23  0.5333  0.0033  0.0631  0.2163  0.0540  0.10
Neighaus 1950   12  0.5550  0.005  0.174  0.5732  0.226  0.35
Niedzielski 1931   58  0.4516  0.0062  0.0549  0.0548  0.0555  0.05
Ohlsson 1999   34  0.5129  0.0038  0.0535  0.1555  0.0543  0.09
Osinska 1989   39  0.4970  0.0049  0.0548  0.0569  0.0465  0.04
Pachmann 1927   77  0.3884  0.0084  0.0383  0.0354  0.0674  0.04
Paderewski 1930   46  0.4815  0.0039  0.0538  0.147  0.3917  0.23
Perlemuter 1992   10  0.563  0.0211  0.088  0.5111  0.473  0.49
Pierdomenico 2008   83  0.3655  0.0082  0.0288  0.0278  0.0484  0.03
Poblocka 1999   7  0.5660  0.0013  0.1014  0.4441  0.1810  0.28
Rabcewiczowa 1932   71  0.4172  0.0060  0.0556  0.0565  0.0471  0.04
Rachmaninoff 1923   60  0.4546  0.0053  0.0561  0.0580  0.0468  0.04
Rangell 2001   74  0.3918  0.0067  0.0473  0.0445  0.1053  0.06
Richter 1976   37  0.505  0.0250  0.0466  0.0447  0.0758  0.05
Rosen 1989   33  0.5139  0.0040  0.0539  0.1362  0.0549  0.08
Rosenthal 1930   75  0.3976  0.0081  0.0386  0.0358  0.0576  0.04
Rosenthal 1931   85  0.3189  0.0087  0.0385  0.0367  0.0386  0.03
Rosenthal 1931b   86  0.3071  0.0088  0.0470  0.0464  0.0479  0.04
Rosenthal 1931c   78  0.3852  0.0080  0.0384  0.0352  0.0489  0.03
Rosenthal 1931d   84  0.3159  0.0078  0.0382  0.0348  0.0762  0.05
Rossi 2007   87  0.3068  0.0086  0.0380  0.0360  0.0566  0.04
Rubinstein 1939   81  0.3779  0.0085  0.0379  0.0358  0.0570  0.04
Rubinstein 1952   61  0.4469  0.0065  0.0465  0.0456  0.0580  0.04
Rubinstein 1966   30  0.5161  0.0043  0.0540  0.1246  0.1137  0.11
Schilhawsky 1960   25  0.5237  0.0032  0.0627  0.2848  0.0630  0.13
Shebanova 2002   26  0.5251  0.0042  0.0541  0.1248  0.0744  0.09
Smith 1975   13  0.5531  0.0017  0.1410  0.4850  0.0723  0.18
Sokolov 2002   38  0.5035  0.0035  0.0630  0.2257  0.0539  0.10
Sztompka 1959   8  0.5613  0.019  0.099  0.4936  0.1611  0.28
Tomsic 1995   28  0.5223  0.0041  0.0537  0.1441  0.1528  0.14
Uninsky 1932   19  0.5327  0.0023  0.0724  0.3043  0.1620  0.22
Uninsky 1971   6  0.5681  0.008  0.0816  0.4333  0.248  0.32
Wasowski 1980   31  0.516  0.0120  0.0823  0.3137  0.1619  0.22
Zak 1937   22  0.5342  0.0030  0.0629  0.2451  0.0632  0.12
Zak 1951   27  0.5247  0.0027  0.0728  0.2757  0.0533  0.12
Average   1  0.701  0.701  0.701  0.8547  0.0715  0.24
Random 1   89  -0.0282  0.0089  0.0289  0.0225  0.2652  0.07
Random 2   91  -0.0991  0.0091  0.0191  0.0177  0.0291  0.01
Random 3   90  -0.0262  0.0090  0.0190  0.0148  0.0490  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).