Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   16  0.5976  0.0011  0.0825  0.3927  0.3829  0.38
Anderszewski 2003   70  0.4550  0.0052  0.0472  0.0456  0.0482  0.04
Ashkenazy 1981   24  0.5777  0.0020  0.1020  0.4521  0.4225  0.43
Bacha 2000   69  0.4660  0.0070  0.0946  0.0922  0.3946  0.19
Badura 1965   59  0.4939  0.0049  0.0750  0.0714  0.4350  0.17
Barbosa 1983   29  0.5620  0.0035  0.0731  0.288  0.5727  0.40
Biret 1990   23  0.5761  0.0017  0.0911  0.495  0.609  0.54
Blet 2003   46  0.5262  0.0059  0.0557  0.0528  0.2759  0.12
Block 1995   64  0.4723  0.0068  0.0559  0.0536  0.1966  0.10
Blumental 1952   60  0.486  0.0064  0.0476  0.0437  0.1470  0.07
Boshniakovich 1969   13  0.6031  0.009  0.096  0.587  0.676  0.62
Brailowsky 1960   61  0.4812  0.0067  0.0562  0.0528  0.3753  0.14
Bunin 1987   45  0.5251  0.0056  0.0467  0.0421  0.3960  0.12
Bunin 1987b   47  0.5140  0.0057  0.0748  0.0720  0.4149  0.17
Chiu 1999   21  0.5815  0.0025  0.1023  0.426  0.6510  0.52
Cohen 1997   87  0.3141  0.0085  0.0387  0.0362  0.0487  0.03
Cortot 1951   76  0.3963  0.0081  0.0385  0.0378  0.0388  0.03
Csalog 1996   49  0.517  0.0048  0.0747  0.076  0.6441  0.21
Czerny 1949   42  0.5252  0.0045  0.0745  0.1432  0.2843  0.20
Czerny 1990   27  0.5664  0.0030  0.0839  0.2237  0.1944  0.20
Duchoud 2007   62  0.4742  0.0069  0.0654  0.0635  0.2061  0.11
Ezaki 2006   7  0.618  0.0014  0.0918  0.4515  0.4722  0.46
Falvay 1989   9  0.6124  0.0027  0.1322  0.4210  0.5815  0.49
Farrell 1958   57  0.4978  0.0060  0.0653  0.0627  0.2856  0.13
Ferenczy 1958   74  0.4225  0.0075  0.0477  0.0454  0.0483  0.04
Fliere 1977   5  0.6265  0.008  0.107  0.5626  0.4413  0.50
Fou 1978   10  0.6153  0.0016  0.0910  0.5213  0.4716  0.49
Francois 1956   40  0.5379  0.0043  0.0742  0.2014  0.5233  0.32
Friedman 1923   79  0.3780  0.0079  0.0560  0.0539  0.1568  0.09
Friedman 1923b   77  0.3826  0.0074  0.0478  0.0434  0.2167  0.09
Friedman 1930   72  0.4343  0.0063  0.0481  0.0432  0.2565  0.10
Garcia 2007   75  0.3966  0.0078  0.0474  0.0423  0.2962  0.11
Garcia 2007b   84  0.3516  0.0077  0.0479  0.0439  0.1172  0.07
Gierzod 1998   14  0.6010  0.0019  0.0917  0.4626  0.4224  0.44
Gornostaeva 1994   55  0.4917  0.0053  0.0655  0.0637  0.1963  0.11
Groot 1988   31  0.5581  0.0028  0.1226  0.3714  0.4626  0.41
Harasiewicz 1955   8  0.6154  0.003  0.313  0.673  0.605  0.63
Hatto 1993   58  0.4967  0.0040  0.0543  0.1925  0.2145  0.20
Hatto 1997   53  0.5082  0.0033  0.0636  0.2334  0.1842  0.20
Horowitz 1949   30  0.5627  0.006  0.0928  0.368  0.6321  0.48
Indjic 1988   51  0.5032  0.0031  0.0733  0.2720  0.3335  0.30
Kapell 1951   28  0.5644  0.0034  0.0632  0.2837  0.2138  0.24
Kissin 1993   3  0.6455  0.004  0.174  0.656  0.673  0.66
Kushner 1989   17  0.5968  0.0029  0.0927  0.3730  0.3130  0.34
Luisada 1991   22  0.5856  0.007  0.0921  0.4315  0.5319  0.48
Lushtak 2004   6  0.6145  0.005  0.175  0.602  0.674  0.63
Malcuzynski 1961   38  0.544  0.0032  0.0630  0.3018  0.3532  0.32
Magaloff 1978   44  0.5221  0.0047  0.0749  0.0726  0.2854  0.14
Magin 1975   41  0.5333  0.0021  0.1229  0.3417  0.4428  0.39
Michalowski 1933   86  0.3428  0.0076  0.0480  0.0449  0.0776  0.05
Milkina 1970   26  0.5722  0.0012  0.0814  0.4813  0.5117  0.49
Mohovich 1999   4  0.6234  0.0010  0.089  0.5310  0.647  0.58
Moravec 1969   66  0.4783  0.0072  0.0556  0.0555  0.0479  0.04
Morozova 2008   37  0.5413  0.0038  0.0641  0.2128  0.2739  0.24
Neighaus 1950   15  0.5946  0.0013  0.088  0.5413  0.5011  0.52
Niedzielski 1931   68  0.4769  0.0058  0.0563  0.0512  0.4951  0.16
Ohlsson 1999   25  0.5747  0.0018  0.0813  0.4816  0.4423  0.46
Osinska 1989   18  0.5814  0.0023  0.0916  0.4614  0.5020  0.48
Pachmann 1927   52  0.5035  0.0051  0.0565  0.055  0.6448  0.18
Paderewski 1930   80  0.3784  0.0080  0.0382  0.0375  0.0384  0.03
Perlemuter 1992   33  0.5548  0.0039  0.0540  0.2212  0.4731  0.32
Pierdomenico 2008   65  0.4785  0.0066  0.0651  0.0620  0.3652  0.15
Poblocka 1999   34  0.5570  0.0044  0.0744  0.1639  0.2147  0.18
Rabcewiczowa 1932   73  0.4236  0.0073  0.0564  0.0550  0.0675  0.05
Rachmaninoff 1923   43  0.5257  0.0037  0.0538  0.2223  0.3536  0.28
Rangell 2001   67  0.479  0.0062  0.0566  0.0523  0.3257  0.13
Richter 1976   50  0.5171  0.0050  0.0561  0.0524  0.3955  0.14
Rosen 1989   36  0.5429  0.0042  0.0935  0.2332  0.2340  0.23
Rosenthal 1930   81  0.3686  0.0086  0.0288  0.0266  0.0585  0.03
Rosenthal 1931   85  0.3487  0.0087  0.0384  0.0350  0.0581  0.04
Rosenthal 1931b   82  0.3672  0.0084  0.0469  0.0443  0.1371  0.07
Rosenthal 1931c   78  0.373  0.0082  0.0383  0.0351  0.0489  0.03
Rosenthal 1931d   83  0.3673  0.0083  0.0386  0.0347  0.0778  0.05
Rossi 2007   88  0.3088  0.0088  0.0473  0.0454  0.0580  0.04
Rubinstein 1939   71  0.4574  0.0071  0.0468  0.0419  0.3958  0.12
Rubinstein 1952   20  0.5889  0.0026  0.1024  0.4011  0.5918  0.49
Rubinstein 1966   11  0.6158  0.0024  0.0915  0.4711  0.628  0.54
Schilhawsky 1960   19  0.5837  0.0015  0.0919  0.459  0.5712  0.51
Shebanova 2002   12  0.6030  0.0022  0.1112  0.4915  0.5114  0.50
Smith 1975   48  0.5190  0.0054  0.0558  0.0548  0.0773  0.06
Sokolov 2002   35  0.5418  0.0041  0.0734  0.2328  0.3237  0.27
Sztompka 1959   63  0.4759  0.0065  0.0470  0.0447  0.0874  0.06
Tomsic 1995   32  0.5591  0.0036  0.0637  0.2316  0.4134  0.31
Uninsky 1932   54  0.4911  0.0061  0.0471  0.0455  0.0677  0.05
Uninsky 1971   39  0.535  0.0046  0.0652  0.0639  0.1664  0.10
Wasowski 1980   56  0.4919  0.0055  0.0475  0.0442  0.1469  0.07
Zak 1937   1  0.981  1.001  0.991  1.001  1.001  1.00
Zak 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Average   2  0.752  0.002  0.762  0.889  0.532  0.68
Random 1   89  -0.0538  0.0091  0.0191  0.0140  0.1186  0.03
Random 2   91  -0.0749  0.0089  0.0189  0.0173  0.0291  0.01
Random 3   90  -0.0675  0.0090  0.0190  0.0173  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).