Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   13  0.6159  0.0033  0.0621  0.3235  0.2826  0.30
Anderszewski 2003   45  0.5310  0.0120  0.0832  0.2625  0.3328  0.29
Ashkenazy 1981   47  0.5211  0.0124  0.0526  0.2843  0.1540  0.20
Bacha 2000   67  0.4652  0.0083  0.0552  0.0549  0.0670  0.05
Badura 1965   56  0.4939  0.0045  0.0555  0.0519  0.3947  0.14
Barbosa 1983   82  0.3840  0.0081  0.0470  0.0445  0.0774  0.05
Biret 1990   53  0.5186  0.0058  0.0464  0.0462  0.0585  0.04
Blet 2003   65  0.4675  0.0082  0.0468  0.0463  0.0482  0.04
Block 1995   38  0.5579  0.0039  0.0835  0.2120  0.3631  0.27
Blumental 1952   73  0.4215  0.0121  0.0842  0.1524  0.2639  0.20
Boshniakovich 1969   2  0.674  0.075  0.218  0.555  0.677  0.61
Brailowsky 1960   59  0.4857  0.0076  0.0379  0.0347  0.0771  0.05
Bunin 1987   35  0.5519  0.0035  0.0629  0.275  0.5618  0.39
Bunin 1987b   34  0.5538  0.0036  0.0831  0.275  0.5717  0.39
Chiu 1999   81  0.3842  0.0078  0.0384  0.0354  0.0578  0.04
Cohen 1997   87  0.2277  0.0087  0.0467  0.0474  0.0484  0.04
Cortot 1951   46  0.5353  0.0061  0.0459  0.0411  0.5546  0.15
Csalog 1996   77  0.3960  0.0085  0.0376  0.0365  0.0487  0.03
Czerny 1949   8  0.642  0.162  0.251  0.753  0.741  0.74
Czerny 1990   4  0.6521  0.007  0.164  0.679  0.644  0.65
Duchoud 2007   69  0.4533  0.0067  0.0372  0.0355  0.0583  0.04
Ezaki 2006   3  0.6616  0.013  0.173  0.672  0.672  0.67
Falvay 1989   54  0.5187  0.0062  0.0465  0.0444  0.1068  0.06
Farrell 1958   51  0.5171  0.0065  0.0461  0.0445  0.0773  0.05
Ferenczy 1958   74  0.4145  0.0086  0.0463  0.0468  0.0388  0.03
Fliere 1977   6  0.6541  0.0013  0.109  0.5436  0.3412  0.43
Fou 1978   33  0.5530  0.0027  0.0627  0.2838  0.2135  0.24
Francois 1956   39  0.5547  0.0049  0.0551  0.0536  0.2456  0.11
Friedman 1923   84  0.3661  0.0080  0.0375  0.0326  0.3159  0.10
Friedman 1923b   85  0.3682  0.0079  0.0381  0.0327  0.2560  0.09
Friedman 1930   71  0.4444  0.0056  0.0457  0.0425  0.3254  0.11
Garcia 2007   78  0.3858  0.0077  0.0382  0.0334  0.2165  0.08
Garcia 2007b   83  0.3754  0.0074  0.0387  0.0327  0.2167  0.08
Gierzod 1998   10  0.6456  0.0010  0.106  0.6014  0.508  0.55
Gornostaeva 1994   1  0.686  0.044  0.157  0.574  0.686  0.62
Groot 1988   22  0.5832  0.0026  0.0425  0.3137  0.2134  0.26
Harasiewicz 1955   12  0.611  0.341  0.342  0.701  0.623  0.66
Hatto 1993   79  0.3872  0.0038  0.0744  0.1426  0.2043  0.17
Hatto 1997   75  0.4073  0.0030  0.0540  0.1643  0.0951  0.12
Horowitz 1949   26  0.5727  0.0040  0.0636  0.2110  0.5920  0.35
Indjic 1988   76  0.4074  0.0028  0.0537  0.1723  0.2438  0.20
Kapell 1951   14  0.609  0.0322  0.0722  0.3235  0.2330  0.27
Kissin 1993   5  0.6512  0.016  0.185  0.6410  0.625  0.63
Kushner 1989   11  0.637  0.0417  0.1712  0.4622  0.3813  0.42
Luisada 1991   63  0.4683  0.0072  0.0383  0.0371  0.0486  0.03
Lushtak 2004   55  0.5037  0.0053  0.0550  0.0561  0.0576  0.05
Malcuzynski 1961   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magaloff 1978   7  0.6424  0.0011  0.1110  0.5011  0.4410  0.47
Magin 1975   18  0.5970  0.0015  0.1015  0.3619  0.4216  0.39
Michalowski 1933   70  0.4449  0.0066  0.0549  0.0537  0.2553  0.11
Milkina 1970   9  0.6434  0.0016  0.1113  0.4429  0.3615  0.40
Mohovich 1999   28  0.5767  0.0032  0.0530  0.2735  0.2633  0.26
Moravec 1969   27  0.573  0.089  0.1228  0.288  0.6014  0.41
Morozova 2008   52  0.5131  0.0043  0.0643  0.1461  0.0563  0.08
Neighaus 1950   15  0.6051  0.0023  0.0616  0.3628  0.2724  0.31
Niedzielski 1931   49  0.5235  0.0054  0.0462  0.0426  0.3352  0.11
Ohlsson 1999   37  0.5562  0.0060  0.0458  0.0455  0.0581  0.04
Osinska 1989   21  0.5814  0.0129  0.0519  0.3334  0.2527  0.29
Pachmann 1927   68  0.4568  0.0075  0.0378  0.0327  0.3458  0.10
Paderewski 1930   42  0.5463  0.0051  0.0646  0.0610  0.3645  0.15
Perlemuter 1992   58  0.4880  0.0057  0.0554  0.0543  0.1362  0.08
Pierdomenico 2008   57  0.4843  0.0064  0.0460  0.0433  0.2357  0.10
Poblocka 1999   31  0.5618  0.0050  0.0553  0.0561  0.0572  0.05
Rabcewiczowa 1932   61  0.4776  0.0071  0.0373  0.0357  0.0580  0.04
Rachmaninoff 1923   40  0.5536  0.0014  0.1014  0.4012  0.4811  0.44
Rangell 2001   20  0.5913  0.0118  0.1124  0.3116  0.4119  0.36
Richter 1976   32  0.5565  0.0041  0.0739  0.1720  0.4032  0.26
Rosen 1989   19  0.5955  0.0031  0.0533  0.2430  0.2337  0.23
Rosenthal 1930   43  0.5484  0.0052  0.0745  0.0717  0.4941  0.19
Rosenthal 1931   62  0.4778  0.0068  0.0377  0.0314  0.5749  0.13
Rosenthal 1931b   66  0.4685  0.0069  0.0386  0.0314  0.5450  0.13
Rosenthal 1931c   36  0.5550  0.0046  0.0648  0.0610  0.6242  0.19
Rosenthal 1931d   60  0.4864  0.0070  0.0371  0.0318  0.4355  0.11
Rossi 2007   80  0.3823  0.0063  0.0374  0.033  0.5648  0.13
Rubinstein 1939   86  0.3222  0.0084  0.0380  0.0360  0.0579  0.04
Rubinstein 1952   72  0.4417  0.0073  0.0385  0.0377  0.0489  0.03
Rubinstein 1966   64  0.4666  0.0055  0.0466  0.0461  0.0675  0.05
Schilhawsky 1960   30  0.5781  0.0037  0.0734  0.2428  0.3629  0.29
Shebanova 2002   24  0.5720  0.0048  0.0647  0.0640  0.1264  0.08
Smith 1975   41  0.5490  0.0047  0.0556  0.0546  0.0869  0.06
Sokolov 2002   16  0.6029  0.0034  0.0720  0.3221  0.3722  0.34
Sztompka 1959   17  0.598  0.0319  0.0923  0.3226  0.2825  0.30
Tomsic 1995   23  0.5846  0.0044  0.0841  0.1618  0.3436  0.23
Uninsky 1932   25  0.575  0.058  0.1411  0.495  0.609  0.54
Uninsky 1971   29  0.5725  0.0012  0.1018  0.3523  0.3621  0.35
Wasowski 1980   50  0.5228  0.0059  0.0469  0.0438  0.1561  0.08
Zak 1937   48  0.5248  0.0042  0.0538  0.1740  0.1644  0.16
Zak 1951   44  0.5426  0.0025  0.0517  0.3529  0.3023  0.32
Random 1   89  -0.0589  0.0089  0.0189  0.0120  0.2977  0.05
Random 2   90  -0.0569  0.0090  0.0190  0.0166  0.0390  0.02
Random 3   88  0.0088  0.0088  0.0288  0.0220  0.3166  0.08

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).