Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   26  0.5652  0.0040  0.0842  0.1551  0.0555  0.09
Anderszewski 2003   46  0.5316  0.0137  0.0734  0.2531  0.2236  0.23
Ashkenazy 1981   36  0.5510  0.0129  0.0632  0.2744  0.1438  0.19
Bacha 2000   73  0.4264  0.0075  0.0382  0.0355  0.0570  0.04
Badura 1965   37  0.5539  0.0021  0.0820  0.397  0.5615  0.47
Barbosa 1983   71  0.4323  0.0060  0.0555  0.0578  0.0475  0.04
Biret 1990   48  0.5126  0.0056  0.0554  0.0553  0.0669  0.05
Blet 2003   44  0.5361  0.0047  0.0552  0.0532  0.1952  0.10
Block 1995   19  0.586  0.0411  0.1811  0.544  0.637  0.58
Blumental 1952   57  0.4822  0.0050  0.0650  0.0641  0.0963  0.07
Boshniakovich 1969   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Brailowsky 1960   51  0.5069  0.0067  0.0475  0.0437  0.2350  0.10
Bunin 1987   49  0.5153  0.0057  0.0557  0.0532  0.2349  0.11
Bunin 1987b   50  0.5079  0.0058  0.0564  0.0532  0.2446  0.11
Chiu 1999   70  0.4363  0.0068  0.0469  0.0466  0.0471  0.04
Cohen 1997   87  0.2977  0.0079  0.0384  0.0370  0.0485  0.03
Cortot 1951   63  0.4571  0.0073  0.0558  0.0542  0.1359  0.08
Csalog 1996   80  0.3829  0.0078  0.0468  0.0457  0.0577  0.04
Czerny 1949   45  0.5378  0.0048  0.0747  0.0746  0.0862  0.07
Czerny 1990   28  0.5667  0.0053  0.0559  0.0556  0.0568  0.05
Duchoud 2007   67  0.4332  0.0072  0.0472  0.0468  0.0478  0.04
Ezaki 2006   39  0.5475  0.0051  0.0566  0.0558  0.0564  0.05
Falvay 1989   60  0.4687  0.0077  0.0473  0.0468  0.0573  0.04
Farrell 1958   61  0.4676  0.0063  0.0471  0.0451  0.0666  0.05
Ferenczy 1958   78  0.3986  0.0082  0.0387  0.0377  0.0287  0.02
Fliere 1977   1  0.701  0.471  0.461  0.734  0.651  0.69
Fou 1978   15  0.5928  0.009  0.1710  0.5511  0.4813  0.51
Francois 1956   62  0.4654  0.0071  0.0479  0.0462  0.0482  0.04
Friedman 1923   81  0.3873  0.0064  0.0563  0.0518  0.3942  0.14
Friedman 1923b   79  0.3882  0.0062  0.0560  0.0518  0.4040  0.14
Friedman 1930   64  0.4534  0.0061  0.0553  0.0536  0.1854  0.09
Garcia 2007   55  0.4925  0.0030  0.0636  0.233  0.7123  0.40
Garcia 2007b   66  0.4343  0.0055  0.0565  0.0515  0.4041  0.14
Gierzod 1998   5  0.648  0.038  0.227  0.6616  0.498  0.57
Gornostaeva 1994   6  0.6430  0.0013  0.1313  0.5019  0.5014  0.50
Groot 1988   43  0.5451  0.0046  0.0745  0.0736  0.2344  0.13
Harasiewicz 1955   10  0.615  0.062  0.162  0.699  0.526  0.60
Hatto 1993   69  0.4372  0.0041  0.0739  0.1845  0.0845  0.12
Hatto 1997   74  0.4215  0.0143  0.0643  0.1249  0.0658  0.08
Horowitz 1949   31  0.5514  0.0128  0.0631  0.288  0.6120  0.41
Indjic 1988   68  0.4374  0.0042  0.0741  0.1648  0.0748  0.11
Kapell 1951   53  0.5066  0.0065  0.0556  0.0556  0.0567  0.05
Kissin 1993   4  0.659  0.027  0.199  0.6016  0.519  0.55
Kushner 1989   7  0.6411  0.0110  0.188  0.6116  0.4611  0.53
Luisada 1991   24  0.5735  0.0036  0.0628  0.2936  0.2632  0.27
Lushtak 2004   32  0.5544  0.0026  0.0929  0.2833  0.2435  0.26
Malcuzynski 1961   3  0.672  0.096  0.205  0.678  0.555  0.61
Magaloff 1978   20  0.5838  0.0022  0.0725  0.3122  0.3427  0.32
Magin 1975   12  0.6017  0.0025  0.0930  0.2829  0.2633  0.27
Michalowski 1933   54  0.4933  0.0054  0.0648  0.0634  0.2743  0.13
Milkina 1970   38  0.5447  0.0031  0.0626  0.3134  0.2930  0.30
Mohovich 1999   21  0.5855  0.0027  0.0821  0.3929  0.3525  0.37
Moravec 1969   82  0.3745  0.0085  0.0385  0.0385  0.0383  0.03
Morozova 2008   22  0.5818  0.0018  0.1019  0.4122  0.2926  0.34
Neighaus 1950   2  0.6712  0.013  0.214  0.681  0.663  0.67
Niedzielski 1931   58  0.4756  0.0066  0.0562  0.0541  0.1256  0.08
Ohlsson 1999   27  0.5631  0.0034  0.0637  0.1846  0.0747  0.11
Osinska 1989   8  0.6241  0.0016  0.0814  0.4826  0.4116  0.44
Pachmann 1927   42  0.5427  0.0044  0.0644  0.115  0.6334  0.26
Paderewski 1930   17  0.5936  0.0024  0.0727  0.311  0.5917  0.43
Perlemuter 1992   35  0.5546  0.0033  0.0635  0.2420  0.4028  0.31
Pierdomenico 2008   56  0.4858  0.0052  0.0470  0.0426  0.2751  0.10
Poblocka 1999   16  0.5960  0.0019  0.0823  0.3532  0.2529  0.30
Rabcewiczowa 1932   65  0.4550  0.0076  0.0380  0.0385  0.0384  0.03
Rachmaninoff 1923   72  0.4259  0.0069  0.0567  0.0573  0.0472  0.04
Rangell 2001   33  0.5520  0.0012  0.1312  0.511  0.6010  0.55
Richter 1976   18  0.5813  0.0120  0.0916  0.466  0.5812  0.52
Rosen 1989   13  0.6042  0.0017  0.0918  0.4216  0.4319  0.42
Rosenthal 1930   77  0.3965  0.0083  0.0477  0.0466  0.0579  0.04
Rosenthal 1931   86  0.3184  0.0087  0.0476  0.0456  0.0476  0.04
Rosenthal 1931b   84  0.3485  0.0084  0.0474  0.0454  0.0580  0.04
Rosenthal 1931c   76  0.4188  0.0081  0.0478  0.0448  0.0581  0.04
Rosenthal 1931d   83  0.3580  0.0086  0.0386  0.0360  0.0486  0.03
Rossi 2007   75  0.4190  0.0080  0.0383  0.0339  0.1560  0.07
Rubinstein 1939   85  0.3468  0.0074  0.0381  0.0347  0.0674  0.04
Rubinstein 1952   59  0.4648  0.0070  0.0649  0.0638  0.1753  0.10
Rubinstein 1966   52  0.5049  0.0045  0.0746  0.0733  0.2739  0.14
Schilhawsky 1960   29  0.5619  0.0023  0.0722  0.3623  0.4621  0.41
Shebanova 2002   9  0.6257  0.0015  0.1215  0.4727  0.3918  0.43
Smith 1975   30  0.5662  0.0035  0.0638  0.1836  0.2037  0.19
Sokolov 2002   41  0.5421  0.0049  0.0551  0.0558  0.0565  0.05
Sztompka 1959   25  0.5681  0.0039  0.0740  0.1774  0.0457  0.08
Tomsic 1995   47  0.5337  0.0059  0.0561  0.0542  0.1161  0.07
Uninsky 1932   40  0.5424  0.0038  0.0833  0.2625  0.3531  0.30
Uninsky 1971   23  0.577  0.0314  0.1317  0.4524  0.3522  0.40
Wasowski 1980   34  0.5540  0.0032  0.0524  0.3213  0.4424  0.38
Zak 1937   11  0.614  0.064  0.163  0.694  0.652  0.67
Zak 1951   14  0.603  0.075  0.246  0.675  0.584  0.62
Random 1   89  -0.0583  0.0088  0.0188  0.0156  0.0489  0.02
Random 2   90  -0.0870  0.0090  0.0190  0.0169  0.0388  0.02
Random 3   88  -0.0389  0.0089  0.0189  0.0155  0.0490  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).