Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   80  -0.1076  0.0077  0.0284  0.0290  0.0186  0.01
Anderszewski 2003   51  -0.0648  0.0049  0.0455  0.0489  0.0161  0.02
Ashkenazy 1981   62  -0.0756  0.0069  0.0371  0.0390  0.0165  0.02
Bacha 2000   88  -0.1138  0.0086  0.0285  0.0290  0.0173  0.01
Badura 1965   20  -0.0344  0.0021  0.0715  0.3488  0.028  0.08
Barbosa 1983   3  0.0024  0.0113  0.0711  0.3790  0.0121  0.06
Biret 1990   41  -0.0581  0.0054  0.0451  0.0490  0.0168  0.02
Blet 2003   9  -0.0221  0.016  0.1324  0.2688  0.0215  0.07
Block 1995   16  -0.034  0.068  0.116  0.4288  0.026  0.09
Blumental 1952   68  -0.0811  0.0333  0.0537  0.1490  0.0139  0.04
Boshniakovich 1969   31  -0.0574  0.0051  0.0456  0.0488  0.0164  0.02
Brailowsky 1960   90  -0.1290  0.0090  0.0190  0.0190  0.0175  0.01
Bunin 1987   12  -0.0345  0.0018  0.1014  0.3589  0.0124  0.06
Bunin 1987b   13  -0.0349  0.0017  0.0613  0.3589  0.0118  0.06
Chiu 1999   60  -0.0782  0.0074  0.0274  0.0290  0.0177  0.01
Cohen 1997   11  -0.0218  0.0120  0.0716  0.3490  0.0123  0.06
Cortot 1951   2  0.022  0.162  0.231  0.6489  0.019  0.08
Csalog 1996   36  -0.0542  0.0022  0.0629  0.2188  0.0222  0.06
Czerny 1949   30  -0.0477  0.0058  0.0447  0.0490  0.0163  0.02
Czerny 1990   81  -0.1027  0.0071  0.0372  0.0390  0.0167  0.02
Duchoud 2007   45  -0.0639  0.0042  0.0441  0.1190  0.0145  0.03
Ezaki 2006   52  -0.0672  0.0055  0.0454  0.0490  0.0148  0.02
Falvay 1989   73  -0.0864  0.0059  0.0458  0.0490  0.0155  0.02
Farrell 1958   66  -0.0734  0.0056  0.0453  0.0489  0.0156  0.02
Ferenczy 1958   85  -0.1126  0.0085  0.0286  0.0290  0.0185  0.01
Fliere 1977   33  -0.0551  0.0050  0.0448  0.0488  0.0240  0.03
Fou 1978   23  -0.0443  0.0028  0.0632  0.1789  0.0217  0.06
Francois 1956   77  -0.0966  0.0081  0.0280  0.0290  0.0190  0.01
Friedman 1923   42  -0.057  0.0332  0.0731  0.1988  0.0228  0.06
Friedman 1923b   44  -0.0612  0.0231  0.0528  0.2188  0.0225  0.06
Friedman 1930   89  -0.1173  0.0082  0.0282  0.0290  0.0183  0.01
Garcia 2007   82  -0.1069  0.0053  0.0452  0.0488  0.0246  0.03
Garcia 2007b   19  -0.0314  0.0226  0.0719  0.3188  0.0210  0.08
Gierzod 1998   56  -0.0663  0.0083  0.0283  0.0290  0.0187  0.01
Gornostaeva 1994   18  -0.0340  0.0048  0.0546  0.0589  0.0166  0.02
Groot 1988   78  -0.0978  0.0060  0.0457  0.0489  0.0169  0.02
Harasiewicz 1955   61  -0.0788  0.0064  0.0363  0.0390  0.0171  0.02
Hatto 1993   59  -0.0787  0.0066  0.0366  0.0390  0.0170  0.02
Hatto 1997   71  -0.0857  0.0084  0.0275  0.0290  0.0184  0.01
Horowitz 1949   83  -0.1067  0.0073  0.0370  0.0389  0.0158  0.02
Indjic 1988   53  -0.0660  0.0065  0.0362  0.0390  0.0160  0.02
Kapell 1951   75  -0.0931  0.0068  0.0368  0.0389  0.0157  0.02
Kissin 1993   22  -0.0435  0.0015  0.0621  0.2888  0.0213  0.07
Kushner 1989   8  -0.0275  0.0027  0.0722  0.2889  0.0129  0.05
Luisada 1991   27  -0.0436  0.0067  0.0365  0.0390  0.0150  0.02
Lushtak 2004   84  -0.1155  0.0087  0.0187  0.0190  0.0188  0.01
Malcuzynski 1961   32  -0.0528  0.0016  0.0820  0.2989  0.0130  0.05
Magaloff 1978   70  -0.0870  0.0072  0.0276  0.0290  0.0178  0.01
Magin 1975   34  -0.0583  0.0043  0.0542  0.1090  0.0142  0.03
Michalowski 1933   38  -0.0541  0.0029  0.0627  0.2289  0.0131  0.05
Milkina 1970   15  -0.035  0.047  0.103  0.4889  0.0112  0.07
Mohovich 1999   79  -0.0958  0.0088  0.0188  0.0190  0.0189  0.01
Moravec 1969   76  -0.0923  0.0145  0.0545  0.0589  0.0149  0.02
Morozova 2008   58  -0.0771  0.0063  0.0367  0.0390  0.0162  0.02
Neighaus 1950   24  -0.0461  0.0037  0.0630  0.2088  0.0226  0.06
Niedzielski 1931   54  -0.0689  0.0057  0.0450  0.0489  0.0241  0.03
Ohlsson 1999   55  -0.0659  0.0030  0.0638  0.1390  0.0134  0.04
Osinska 1989   74  -0.0865  0.0080  0.0279  0.0290  0.0174  0.01
Pachmann 1927   40  -0.058  0.039  0.0717  0.3489  0.0119  0.06
Paderewski 1930   72  -0.0837  0.0052  0.0460  0.0490  0.0159  0.02
Perlemuter 1992   46  -0.0684  0.0070  0.0369  0.0389  0.0152  0.02
Pierdomenico 2008   67  -0.0832  0.0079  0.0278  0.0290  0.0180  0.01
Poblocka 1999   57  -0.0725  0.0176  0.0277  0.0290  0.0176  0.01
Rabcewiczowa 1932   86  -0.1130  0.0078  0.0281  0.0290  0.0181  0.01
Rachmaninoff 1923   63  -0.0746  0.0047  0.0459  0.0489  0.0154  0.02
Rangell 2001   48  -0.0653  0.0044  0.0544  0.0990  0.0147  0.03
Richter 1976   25  -0.0417  0.0110  0.0910  0.3888  0.025  0.09
Rosen 1989   50  -0.0616  0.0236  0.0536  0.1490  0.0138  0.04
Rosenthal 1930   35  -0.0547  0.0025  0.1026  0.2390  0.0132  0.05
Rosenthal 1931   26  -0.0485  0.0023  0.0623  0.2689  0.0214  0.07
Rosenthal 1931b   17  -0.0354  0.0024  0.0825  0.2689  0.0216  0.07
Rosenthal 1931c   37  -0.0529  0.0019  0.0818  0.3389  0.0127  0.06
Rosenthal 1931d   10  -0.0233  0.0011  0.078  0.3989  0.027  0.09
Rossi 2007   47  -0.0615  0.0246  0.0449  0.0489  0.0153  0.02
Rubinstein 1939   4  0.006  0.044  0.104  0.4788  0.023  0.10
Rubinstein 1952   69  -0.0879  0.0062  0.0364  0.0390  0.0172  0.02
Rubinstein 1966   87  -0.1180  0.0089  0.0189  0.0190  0.0182  0.01
Schilhawsky 1960   21  -0.0386  0.0041  0.0443  0.0989  0.0235  0.04
Shebanova 2002   29  -0.0452  0.0038  0.0535  0.1588  0.0137  0.04
Smith 1975   65  -0.0750  0.0075  0.0273  0.0289  0.0179  0.01
Sokolov 2002   7  -0.013  0.093  0.165  0.4688  0.0111  0.07
Sztompka 1959   49  -0.0622  0.0134  0.0634  0.1689  0.0133  0.04
Tomsic 1995   14  -0.0320  0.0112  0.077  0.4288  0.024  0.09
Uninsky 1932   28  -0.0410  0.0335  0.0533  0.1790  0.0136  0.04
Uninsky 1971   6  -0.0113  0.0214  0.0712  0.3689  0.0120  0.06
Wasowski 1980   64  -0.0768  0.0061  0.0361  0.0389  0.0251  0.02
Zak 1937   39  -0.0519  0.0139  0.0639  0.1289  0.0143  0.03
Zak 1951   43  -0.0562  0.0040  0.0640  0.1190  0.0144  0.03
Random 1   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 2   5  -0.019  0.035  0.109  0.3925  0.272  0.32
Random 3   1  0.021  0.231  0.232  0.4910  0.431  0.46

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).