Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   5  0.7840  0.0013  0.088  0.541  0.879  0.69
Anderszewski 2003   40  0.7127  0.0039  0.0839  0.291  0.8240  0.49
Ashkenazy 1981   11  0.7712  0.017  0.096  0.571  0.884  0.71
Bacha 2000   72  0.6281  0.0075  0.0469  0.041  0.8266  0.18
Badura 1965   65  0.6436  0.0057  0.0651  0.061  0.7955  0.22
Barbosa 1983   63  0.6438  0.0049  0.0561  0.051  0.8061  0.20
Biret 1990   29  0.7531  0.0032  0.0731  0.371  0.8931  0.57
Blet 2003   43  0.7067  0.0054  0.0747  0.071  0.8548  0.24
Block 1995   62  0.6558  0.0050  0.0562  0.051  0.8363  0.20
Blumental 1952   64  0.6459  0.0055  0.0652  0.061  0.8256  0.22
Boshniakovich 1969   28  0.7535  0.0024  0.0737  0.311  0.8537  0.51
Brailowsky 1960   52  0.6745  0.0066  0.0472  0.041  0.8367  0.18
Bunin 1987   59  0.6660  0.0063  0.0650  0.062  0.7159  0.21
Bunin 1987b   60  0.6579  0.0064  0.0749  0.072  0.7152  0.22
Chiu 1999   53  0.6764  0.0051  0.0559  0.051  0.8757  0.21
Cohen 1997   87  0.4983  0.0087  0.0380  0.031  0.7382  0.15
Cortot 1951   68  0.6371  0.0069  0.0381  0.031  0.8084  0.15
Csalog 1996   76  0.5775  0.0077  0.0384  0.031  0.7479  0.15
Czerny 1949   34  0.7350  0.0035  0.0832  0.371  0.8532  0.56
Czerny 1990   3  0.807  0.024  0.113  0.611  0.903  0.74
Duchoud 2007   57  0.6682  0.0058  0.0657  0.061  0.8254  0.22
Ezaki 2006   2  0.806  0.023  0.1111  0.521  0.918  0.69
Falvay 1989   39  0.7213  0.0146  0.0658  0.061  0.8450  0.22
Farrell 1958   48  0.6932  0.0056  0.0656  0.061  0.8549  0.23
Ferenczy 1958   71  0.6268  0.0076  0.0466  0.042  0.6474  0.16
Fliere 1977   1  0.851  0.471  0.471  0.801  0.931  0.86
Fou 1978   26  0.7530  0.0014  0.0822  0.451  0.8623  0.62
Francois 1956   45  0.6953  0.0044  0.0645  0.121  0.8345  0.32
Friedman 1923   85  0.5255  0.0081  0.0471  0.043  0.6972  0.17
Friedman 1923b   84  0.5284  0.0080  0.0467  0.043  0.7071  0.17
Friedman 1930   74  0.6052  0.0061  0.0564  0.053  0.7762  0.20
Garcia 2007   83  0.5485  0.0079  0.0377  0.032  0.7980  0.15
Garcia 2007b   86  0.5180  0.0078  0.0385  0.032  0.7685  0.15
Gierzod 1998   6  0.784  0.045  0.105  0.571  0.877  0.70
Gornostaeva 1994   16  0.7665  0.0034  0.0734  0.341  0.8834  0.55
Groot 1988   32  0.7429  0.0012  0.0827  0.411  0.8627  0.59
Harasiewicz 1955   22  0.762  0.132  0.382  0.701  0.892  0.79
Hatto 1993   55  0.665  0.0337  0.1036  0.313  0.8538  0.51
Hatto 1997   46  0.6918  0.0110  0.0830  0.383  0.8530  0.57
Horowitz 1949   58  0.6670  0.0067  0.0378  0.031  0.7976  0.15
Indjic 1988   51  0.6714  0.0136  0.0735  0.313  0.8436  0.51
Kapell 1951   17  0.768  0.0220  0.0713  0.501  0.8614  0.66
Kissin 1993   10  0.7748  0.0029  0.0729  0.391  0.8329  0.57
Kushner 1989   4  0.809  0.0211  0.087  0.551  0.906  0.70
Luisada 1991   27  0.7524  0.0038  0.0738  0.301  0.8635  0.51
Lushtak 2004   33  0.7444  0.0021  0.0819  0.471  0.8719  0.64
Malcuzynski 1961   15  0.7610  0.0122  0.0724  0.441  0.8725  0.62
Magaloff 1978   23  0.763  0.056  0.0928  0.411  0.8726  0.60
Magin 1975   38  0.7262  0.0040  0.0940  0.291  0.8239  0.49
Michalowski 1933   79  0.5663  0.0070  0.0375  0.031  0.7478  0.15
Milkina 1970   20  0.7616  0.0123  0.0725  0.431  0.8924  0.62
Mohovich 1999   21  0.7615  0.0131  0.0723  0.451  0.8922  0.63
Moravec 1969   54  0.6641  0.0060  0.0565  0.052  0.7665  0.19
Morozova 2008   31  0.7422  0.0126  0.1017  0.491  0.8717  0.65
Neighaus 1950   8  0.7834  0.008  0.114  0.581  0.865  0.71
Niedzielski 1931   73  0.6220  0.0165  0.0563  0.051  0.7860  0.20
Ohlsson 1999   7  0.7811  0.0118  0.0910  0.521  0.8712  0.67
Osinska 1989   9  0.7839  0.0025  0.0912  0.521  0.8910  0.68
Pachmann 1927   77  0.5789  0.0086  0.0474  0.042  0.7070  0.17
Paderewski 1930   66  0.6487  0.0071  0.0379  0.031  0.7477  0.15
Perlemuter 1992   44  0.7074  0.0045  0.0744  0.131  0.8444  0.33
Pierdomenico 2008   75  0.5957  0.0074  0.0376  0.031  0.7675  0.15
Poblocka 1999   19  0.7637  0.0017  0.0716  0.491  0.8418  0.64
Rabcewiczowa 1932   49  0.6866  0.0048  0.0653  0.061  0.8151  0.22
Rachmaninoff 1923   41  0.7023  0.0133  0.0633  0.361  0.8433  0.55
Rangell 2001   69  0.6333  0.0059  0.0560  0.051  0.7964  0.20
Richter 1976   56  0.6649  0.0068  0.0473  0.041  0.7169  0.17
Rosen 1989   18  0.7619  0.0115  0.0915  0.491  0.8815  0.66
Rosenthal 1930   67  0.6354  0.0073  0.0382  0.035  0.8081  0.15
Rosenthal 1931   81  0.5576  0.0083  0.0288  0.025  0.7487  0.12
Rosenthal 1931b   82  0.5478  0.0082  0.0287  0.025  0.7588  0.12
Rosenthal 1931c   70  0.6372  0.0072  0.0470  0.045  0.8268  0.18
Rosenthal 1931d   80  0.5588  0.0084  0.0383  0.035  0.7883  0.15
Rossi 2007   88  0.4777  0.0088  0.0468  0.042  0.6873  0.16
Rubinstein 1939   78  0.5661  0.0085  0.0386  0.034  0.6386  0.14
Rubinstein 1952   61  0.6528  0.0047  0.0846  0.082  0.8146  0.25
Rubinstein 1966   35  0.7321  0.0143  0.0743  0.161  0.8743  0.37
Schilhawsky 1960   37  0.7256  0.0042  0.1241  0.281  0.8241  0.48
Shebanova 2002   13  0.7742  0.0027  0.0920  0.461  0.8521  0.63
Smith 1975   14  0.7643  0.0016  0.0714  0.491  0.8913  0.66
Sokolov 2002   30  0.7446  0.0041  0.1042  0.241  0.8642  0.45
Sztompka 1959   12  0.7717  0.0119  0.0921  0.451  0.8720  0.63
Tomsic 1995   50  0.6873  0.0062  0.0654  0.062  0.7558  0.21
Uninsky 1932   47  0.6969  0.0052  0.0655  0.062  0.8053  0.22
Uninsky 1971   36  0.7247  0.0030  0.0626  0.422  0.8028  0.58
Wasowski 1980   42  0.7051  0.0053  0.0748  0.071  0.8047  0.24
Zak 1937   24  0.7525  0.0028  0.0618  0.482  0.8816  0.65
Zak 1951   25  0.7526  0.009  0.089  0.532  0.8811  0.68
Average   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 1   91  -0.0986  0.0091  0.0191  0.0185  0.0291  0.01
Random 2   90  -0.0590  0.0089  0.0289  0.0272  0.0289  0.02
Random 3   89  -0.0491  0.0090  0.0190  0.0171  0.0390  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).