Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   27  0.4936  0.0029  0.0929  0.4159  0.0438  0.13
Anderszewski 2003   53  0.4260  0.0042  0.0642  0.1577  0.0346  0.07
Ashkenazy 1981   12  0.556  0.059  0.167  0.6333  0.2811  0.42
Bacha 2000   74  0.3785  0.0074  0.0288  0.0274  0.0467  0.03
Badura 1965   61  0.4130  0.0056  0.0553  0.0561  0.0556  0.05
Barbosa 1983   78  0.3549  0.0071  0.0386  0.0375  0.0475  0.03
Biret 1990   43  0.4632  0.0044  0.0543  0.1370  0.0447  0.07
Blet 2003   50  0.4246  0.0068  0.0366  0.0381  0.0377  0.03
Block 1995   40  0.4734  0.0036  0.1037  0.3437  0.1717  0.24
Blumental 1952   65  0.4048  0.0057  0.0550  0.0575  0.0465  0.04
Boshniakovich 1969   10  0.5518  0.0113  0.139  0.6132  0.2813  0.41
Brailowsky 1960   20  0.5139  0.0025  0.1017  0.5313  0.573  0.55
Bunin 1987   14  0.5420  0.0117  0.0919  0.5115  0.458  0.48
Bunin 1987b   16  0.5340  0.0024  0.1123  0.4919  0.4110  0.45
Chiu 1999   47  0.4521  0.0034  0.0931  0.3957  0.0534  0.14
Cohen 1997   88  0.1875  0.0087  0.0369  0.0385  0.0380  0.03
Cortot 1951   69  0.3891  0.0076  0.0377  0.0365  0.0483  0.03
Csalog 1996   84  0.3367  0.0084  0.0376  0.0374  0.0376  0.03
Czerny 1949   34  0.4787  0.0046  0.0555  0.0578  0.0362  0.04
Czerny 1990   26  0.5062  0.0047  0.0846  0.0878  0.0357  0.05
Duchoud 2007   71  0.3852  0.0063  0.0463  0.0458  0.0463  0.04
Ezaki 2006   46  0.4538  0.0049  0.0551  0.0576  0.0459  0.04
Falvay 1989   52  0.4278  0.0077  0.0385  0.0378  0.0470  0.03
Farrell 1958   60  0.4166  0.0064  0.0373  0.0386  0.0288  0.02
Ferenczy 1958   82  0.3464  0.0075  0.0289  0.0273  0.0389  0.02
Fliere 1977   7  0.5661  0.0011  0.1010  0.6161  0.0427  0.16
Fou 1978   29  0.4922  0.0022  0.0827  0.4356  0.0532  0.15
Francois 1956   58  0.4169  0.0067  0.0372  0.0368  0.0385  0.03
Friedman 1923   83  0.3490  0.0060  0.0461  0.0454  0.0658  0.05
Friedman 1923b   81  0.3435  0.0058  0.0554  0.0541  0.1244  0.08
Friedman 1930   54  0.4233  0.0038  0.0839  0.2745  0.1030  0.16
Garcia 2007   77  0.3572  0.0070  0.0375  0.0365  0.0479  0.03
Garcia 2007b   80  0.3579  0.0065  0.0367  0.0385  0.0386  0.03
Gierzod 1998   35  0.4788  0.0037  0.1136  0.3584  0.0243  0.08
Gornostaeva 1994   45  0.4580  0.0062  0.0465  0.0480  0.0281  0.03
Groot 1988   2  0.5814  0.018  0.224  0.6622  0.425  0.53
Harasiewicz 1955   15  0.5325  0.007  0.166  0.6353  0.0622  0.19
Hatto 1993   59  0.4137  0.0020  0.1033  0.3744  0.1218  0.21
Hatto 1997   56  0.429  0.0319  0.0835  0.3553  0.0537  0.13
Horowitz 1949   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Indjic 1988   55  0.4255  0.0021  0.1234  0.3645  0.1120  0.20
Kapell 1951   38  0.4710  0.0348  0.0648  0.0664  0.0452  0.05
Kissin 1993   18  0.5219  0.0116  0.0916  0.5453  0.0623  0.18
Kushner 1989   41  0.4781  0.0054  0.0556  0.0587  0.0272  0.03
Luisada 1991   25  0.5024  0.0032  0.0820  0.5159  0.0526  0.16
Lushtak 2004   57  0.4171  0.0051  0.0558  0.0573  0.0464  0.04
Malcuzynski 1961   4  0.5716  0.0110  0.1011  0.5937  0.2114  0.35
Magaloff 1978   19  0.5150  0.0033  0.1024  0.4660  0.0435  0.14
Magin 1975   24  0.5047  0.0018  0.0922  0.4946  0.0819  0.20
Michalowski 1933   76  0.3653  0.0059  0.0460  0.0461  0.0561  0.04
Milkina 1970   17  0.5342  0.0023  0.0818  0.5153  0.0721  0.19
Mohovich 1999   22  0.5082  0.0027  0.0732  0.3858  0.0536  0.14
Moravec 1969   32  0.4723  0.0043  0.0644  0.1350  0.0542  0.08
Morozova 2008   30  0.4915  0.0130  0.0921  0.5055  0.0529  0.16
Neighaus 1950   11  0.5528  0.0012  0.1213  0.5764  0.0525  0.17
Niedzielski 1931   39  0.474  0.0614  0.1025  0.4517  0.479  0.46
Ohlsson 1999   36  0.4773  0.0039  0.1038  0.2772  0.0440  0.10
Osinska 1989   42  0.4626  0.0055  0.0549  0.0586  0.0360  0.04
Pachmann 1927   73  0.3731  0.0079  0.0384  0.0346  0.0853  0.05
Paderewski 1930   68  0.3858  0.0083  0.0379  0.0383  0.0374  0.03
Perlemuter 1992   33  0.4745  0.0040  0.0840  0.2563  0.0439  0.10
Pierdomenico 2008   64  0.4054  0.0052  0.0552  0.0550  0.0748  0.06
Poblocka 1999   28  0.4974  0.0028  0.0830  0.4046  0.0631  0.15
Rabcewiczowa 1932   75  0.3659  0.0085  0.0371  0.0376  0.0371  0.03
Rachmaninoff 1923   3  0.582  0.192  0.312  0.717  0.531  0.61
Rangell 2001   66  0.3968  0.0061  0.0462  0.0475  0.0382  0.03
Richter 1976   13  0.558  0.046  0.1312  0.5811  0.504  0.54
Rosen 1989   48  0.4344  0.0045  0.0545  0.1071  0.0449  0.06
Rosenthal 1930   44  0.4556  0.0041  0.0741  0.1825  0.3416  0.25
Rosenthal 1931   85  0.3370  0.0082  0.0464  0.0447  0.0655  0.05
Rosenthal 1931b   79  0.3576  0.0073  0.0368  0.0342  0.1450  0.06
Rosenthal 1931c   70  0.3857  0.0081  0.0370  0.0367  0.0484  0.03
Rosenthal 1931d   72  0.3883  0.0072  0.0380  0.0338  0.1945  0.08
Rossi 2007   87  0.1963  0.0088  0.0374  0.0380  0.0369  0.03
Rubinstein 1939   86  0.3343  0.0086  0.0557  0.0562  0.0551  0.05
Rubinstein 1952   67  0.3929  0.0080  0.0381  0.0362  0.0566  0.04
Rubinstein 1966   63  0.4084  0.0078  0.0382  0.0381  0.0478  0.03
Schilhawsky 1960   5  0.577  0.055  0.173  0.6913  0.522  0.60
Shebanova 2002   23  0.5013  0.0126  0.0715  0.5559  0.0524  0.17
Smith 1975   62  0.4077  0.0069  0.0383  0.0389  0.0287  0.02
Sokolov 2002   49  0.4386  0.0053  0.0459  0.0485  0.0368  0.03
Sztompka 1959   37  0.4717  0.0150  0.0647  0.0669  0.0554  0.05
Tomsic 1995   51  0.4241  0.0066  0.0378  0.0380  0.0473  0.03
Uninsky 1932   21  0.5112  0.0231  0.0726  0.4542  0.1615  0.27
Uninsky 1971   31  0.4827  0.0035  0.1228  0.4255  0.0628  0.16
Wasowski 1980   8  0.5611  0.0315  0.0914  0.5626  0.3012  0.41
Zak 1937   6  0.565  0.064  0.225  0.6426  0.386  0.49
Zak 1951   9  0.563  0.083  0.148  0.6328  0.367  0.48
Average   1  0.661  0.251  0.251  0.7978  0.0333  0.15
Random 1   91  -0.1089  0.0090  0.0190  0.0171  0.0390  0.02
Random 2   89  0.0151  0.0089  0.0387  0.0317  0.3541  0.10
Random 3   90  -0.0665  0.0091  0.0191  0.0185  0.0291  0.01

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).