Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   19  0.5953  0.0027  0.0725  0.2931  0.3331  0.31
Anderszewski 2003   8  0.6246  0.0014  0.0913  0.4811  0.518  0.49
Ashkenazy 1981   24  0.5713  0.0122  0.1017  0.4331  0.3424  0.38
Bacha 2000   78  0.4390  0.0077  0.0457  0.0434  0.2761  0.10
Badura 1965   68  0.4627  0.0078  0.0554  0.0550  0.0672  0.05
Barbosa 1983   47  0.5224  0.0028  0.0732  0.2514  0.4727  0.34
Biret 1990   21  0.585  0.0111  0.0911  0.4910  0.546  0.51
Blet 2003   36  0.5554  0.0046  0.0750  0.0710  0.4842  0.18
Block 1995   54  0.5057  0.0053  0.0556  0.0525  0.2956  0.12
Blumental 1952   56  0.4956  0.0013  0.1028  0.2811  0.3729  0.32
Boshniakovich 1969   34  0.5630  0.0041  0.0637  0.2039  0.1840  0.19
Brailowsky 1960   20  0.5918  0.0032  0.0826  0.296  0.6815  0.44
Bunin 1987   74  0.4491  0.0073  0.0460  0.0449  0.0673  0.05
Bunin 1987b   77  0.4478  0.0074  0.0467  0.0456  0.0578  0.04
Chiu 1999   66  0.4775  0.0075  0.0464  0.0454  0.0576  0.04
Cohen 1997   79  0.4159  0.0076  0.0462  0.0411  0.4853  0.14
Cortot 1951   51  0.5140  0.0042  0.0643  0.1511  0.5633  0.29
Csalog 1996   87  0.3544  0.0087  0.0379  0.0365  0.0486  0.03
Czerny 1949   10  0.6111  0.018  0.107  0.5315  0.554  0.54
Czerny 1990   9  0.6134  0.0015  0.0912  0.4825  0.3322  0.40
Duchoud 2007   60  0.4864  0.0064  0.0458  0.0430  0.2959  0.11
Ezaki 2006   2  0.693  0.033  0.313  0.715  0.662  0.68
Falvay 1989   13  0.608  0.0125  0.0822  0.3718  0.5217  0.44
Farrell 1958   44  0.5328  0.0043  0.0742  0.1510  0.4734  0.27
Ferenczy 1958   31  0.564  0.0220  0.0823  0.363  0.6311  0.48
Fliere 1977   4  0.6548  0.009  0.108  0.5234  0.3618  0.43
Fou 1978   39  0.5445  0.0036  0.0636  0.2143  0.1343  0.17
Francois 1956   35  0.5641  0.0026  0.0727  0.2920  0.4825  0.37
Friedman 1923   86  0.3668  0.0080  0.0468  0.0442  0.1366  0.07
Friedman 1923b   85  0.3676  0.0079  0.0374  0.0342  0.1074  0.05
Friedman 1930   62  0.4736  0.0056  0.0378  0.0323  0.3958  0.11
Garcia 2007   88  0.3265  0.0088  0.0463  0.0472  0.0387  0.03
Garcia 2007b   84  0.3885  0.0081  0.0375  0.0362  0.0488  0.03
Gierzod 1998   7  0.6238  0.0010  0.125  0.5429  0.4112  0.47
Gornostaeva 1994   3  0.682  0.032  0.332  0.753  0.761  0.75
Groot 1988   28  0.5743  0.0017  0.0919  0.4020  0.4321  0.41
Harasiewicz 1955   6  0.6412  0.014  0.164  0.6124  0.427  0.51
Hatto 1993   72  0.4587  0.0057  0.0380  0.0356  0.0683  0.04
Hatto 1997   52  0.5031  0.0044  0.0745  0.1424  0.3038  0.20
Horowitz 1949   80  0.4080  0.0084  0.0289  0.0283  0.0389  0.02
Indjic 1988   70  0.4674  0.0058  0.0381  0.0362  0.0580  0.04
Kapell 1951   30  0.5782  0.0024  0.1021  0.3925  0.3723  0.38
Kissin 1993   23  0.5839  0.0038  0.0739  0.1840  0.1547  0.16
Kushner 1989   18  0.5926  0.0033  0.0534  0.2343  0.1441  0.18
Luisada 1991   11  0.6150  0.0021  0.0915  0.4521  0.4813  0.46
Lushtak 2004   27  0.5722  0.0018  0.1210  0.5018  0.489  0.49
Malcuzynski 1961   37  0.5488  0.0049  0.0847  0.0857  0.0567  0.06
Magaloff 1978   15  0.5951  0.006  0.1316  0.4410  0.4714  0.45
Magin 1975   14  0.6055  0.0016  0.1124  0.3026  0.3230  0.31
Michalowski 1933   67  0.4752  0.0069  0.0370  0.0340  0.2263  0.08
Milkina 1970   29  0.5732  0.0034  0.0630  0.2639  0.2136  0.23
Mohovich 1999   22  0.5829  0.0035  0.0631  0.2632  0.3232  0.29
Moravec 1969   57  0.4910  0.0154  0.0461  0.0422  0.3455  0.12
Morozova 2008   40  0.5367  0.0047  0.0752  0.0746  0.0669  0.06
Neighaus 1950   17  0.5915  0.007  0.106  0.5416  0.4410  0.49
Niedzielski 1931   81  0.3947  0.0085  0.0388  0.0378  0.0384  0.03
Ohlsson 1999   26  0.5761  0.0037  0.0635  0.2143  0.1344  0.17
Osinska 1989   5  0.6416  0.005  0.149  0.5011  0.525  0.51
Pachmann 1927   83  0.3886  0.0086  0.0387  0.0349  0.0770  0.05
Paderewski 1930   63  0.4721  0.0066  0.0466  0.0417  0.3257  0.11
Perlemuter 1992   42  0.5360  0.0048  0.0751  0.0724  0.3646  0.16
Pierdomenico 2008   64  0.4773  0.0061  0.0382  0.0338  0.1864  0.07
Poblocka 1999   32  0.5670  0.0040  0.0633  0.2440  0.2037  0.22
Rabcewiczowa 1932   38  0.547  0.0129  0.0729  0.279  0.4926  0.36
Rachmaninoff 1923   59  0.4937  0.0050  0.0749  0.0739  0.1362  0.10
Rangell 2001   76  0.4442  0.0067  0.0469  0.0444  0.1165  0.07
Richter 1976   75  0.4463  0.0083  0.0385  0.0360  0.0579  0.04
Rosen 1989   12  0.6171  0.0012  0.0920  0.3919  0.4320  0.41
Rosenthal 1930   50  0.5120  0.0055  0.0555  0.0510  0.6045  0.17
Rosenthal 1931   65  0.4749  0.0070  0.0372  0.0311  0.6552  0.14
Rosenthal 1931b   73  0.4583  0.0072  0.0653  0.069  0.6439  0.20
Rosenthal 1931c   46  0.5235  0.0039  0.0640  0.168  0.6728  0.33
Rosenthal 1931d   71  0.4579  0.0071  0.0371  0.039  0.6554  0.14
Rossi 2007   69  0.4619  0.0065  0.0465  0.045  0.5550  0.15
Rubinstein 1939   82  0.3977  0.0082  0.0383  0.0351  0.0577  0.04
Rubinstein 1952   55  0.5017  0.0031  0.0641  0.1642  0.1649  0.16
Rubinstein 1966   41  0.5333  0.0051  0.0846  0.0831  0.3148  0.16
Schilhawsky 1960   45  0.526  0.0160  0.0459  0.0451  0.0671  0.05
Shebanova 2002   49  0.5189  0.0068  0.0376  0.0357  0.0582  0.04
Smith 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sokolov 2002   25  0.579  0.0123  0.1218  0.4212  0.4616  0.44
Sztompka 1959   16  0.5925  0.0019  0.0914  0.4620  0.3719  0.41
Tomsic 1995   43  0.5314  0.0030  0.0538  0.1818  0.3435  0.25
Uninsky 1932   58  0.4958  0.0063  0.0373  0.0358  0.0681  0.04
Uninsky 1971   33  0.5623  0.0045  0.0744  0.1438  0.1751  0.15
Wasowski 1980   61  0.4872  0.0062  0.0384  0.0356  0.0575  0.04
Zak 1937   53  0.5081  0.0059  0.0377  0.0365  0.0485  0.03
Zak 1951   48  0.5162  0.0052  0.0748  0.0758  0.0568  0.06
Average   1  0.761  0.771  0.771  0.8914  0.493  0.66
Random 1   90  -0.0766  0.0090  0.0190  0.0173  0.0291  0.01
Random 2   91  -0.0969  0.0091  0.0191  0.0188  0.0290  0.01
Random 3   89  0.0084  0.0089  0.0386  0.0312  0.4260  0.11

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).