Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   15  0.4964  0.0032  0.0929  0.3166  0.0437  0.11
Anderszewski 2003   32  0.4517  0.0134  0.0734  0.2273  0.0339  0.08
Ashkenazy 1981   34  0.454  0.075  0.1310  0.5238  0.2210  0.34
Bacha 2000   59  0.3872  0.0057  0.0362  0.0359  0.0552  0.04
Badura 1965   82  0.3238  0.0069  0.0375  0.0373  0.0474  0.03
Barbosa 1983   70  0.3622  0.0068  0.0376  0.0355  0.0557  0.04
Biret 1990   45  0.4142  0.0054  0.0372  0.0383  0.0382  0.03
Blet 2003   33  0.4524  0.0046  0.0547  0.0548  0.0551  0.05
Block 1995   43  0.4263  0.0028  0.1030  0.3144  0.0922  0.17
Blumental 1952   60  0.3858  0.0027  0.1031  0.3034  0.1618  0.22
Boshniakovich 1969   18  0.4720  0.0141  0.0541  0.1262  0.0540  0.08
Brailowsky 1960   52  0.4071  0.0071  0.0381  0.0355  0.0553  0.04
Bunin 1987   77  0.3485  0.0083  0.0450  0.0477  0.0380  0.03
Bunin 1987b   76  0.3468  0.0082  0.0383  0.0377  0.0367  0.03
Chiu 1999   67  0.3746  0.0044  0.0443  0.0968  0.0447  0.06
Cohen 1997   87  0.1981  0.0087  0.0452  0.0481  0.0379  0.03
Cortot 1951   47  0.4176  0.0065  0.0455  0.0443  0.1244  0.07
Csalog 1996   51  0.4048  0.0058  0.0363  0.0346  0.0750  0.05
Czerny 1949   27  0.4686  0.0048  0.0546  0.0559  0.0458  0.04
Czerny 1990   3  0.5635  0.006  0.133  0.6143  0.1116  0.26
Duchoud 2007   65  0.3716  0.0167  0.0382  0.0377  0.0473  0.03
Ezaki 2006   50  0.4066  0.0078  0.0367  0.0381  0.0359  0.03
Falvay 1989   68  0.3762  0.0075  0.0385  0.0386  0.0362  0.03
Farrell 1958   28  0.4650  0.0049  0.0745  0.0757  0.0648  0.06
Ferenczy 1958   58  0.3887  0.0072  0.0369  0.0356  0.0471  0.03
Fliere 1977   2  0.5652  0.008  0.096  0.5668  0.0428  0.15
Fou 1978   78  0.3369  0.0076  0.0287  0.0285  0.0387  0.02
Francois 1956   20  0.4743  0.0047  0.0448  0.0469  0.0385  0.03
Friedman 1923   62  0.3832  0.0022  0.1032  0.2913  0.469  0.37
Friedman 1923b   53  0.396  0.0420  0.1024  0.3411  0.497  0.41
Friedman 1930   49  0.4077  0.0023  0.0927  0.3328  0.2913  0.31
Garcia 2007   54  0.3911  0.0226  0.0925  0.3314  0.428  0.37
Garcia 2007b   85  0.3083  0.0053  0.0374  0.0373  0.0486  0.03
Gierzod 1998   5  0.532  0.182  0.204  0.6138  0.335  0.45
Gornostaeva 1994   24  0.4639  0.0060  0.0379  0.0378  0.0289  0.02
Groot 1988   35  0.4527  0.0045  0.0449  0.0485  0.0383  0.03
Harasiewicz 1955   55  0.3944  0.0040  0.0436  0.1676  0.0345  0.07
Hatto 1993   48  0.4129  0.0010  0.0814  0.4935  0.1515  0.27
Hatto 1997   63  0.3815  0.0133  0.0933  0.2444  0.0930  0.15
Horowitz 1949   21  0.475  0.049  0.0816  0.4724  0.454  0.46
Indjic 1988   44  0.4223  0.0012  0.0915  0.4840  0.1317  0.25
Kapell 1951   9  0.5113  0.0219  0.1018  0.4578  0.0432  0.13
Kissin 1993   31  0.4628  0.0025  0.1022  0.3850  0.0629  0.15
Kushner 1989   26  0.4679  0.0043  0.0444  0.0872  0.0449  0.06
Luisada 1991   25  0.467  0.0324  0.0919  0.4252  0.0624  0.16
Lushtak 2004   75  0.3474  0.0077  0.0384  0.0382  0.0375  0.03
Malcuzynski 1961   7  0.5234  0.0029  0.1026  0.3362  0.0435  0.11
Magaloff 1978   29  0.4621  0.0037  0.0537  0.1562  0.0438  0.08
Magin 1975   19  0.4714  0.0115  0.0917  0.4749  0.0621  0.17
Michalowski 1933   64  0.3854  0.0055  0.0360  0.0357  0.0656  0.04
Milkina 1970   42  0.4289  0.0061  0.0373  0.0373  0.0466  0.03
Mohovich 1999   40  0.4260  0.0056  0.0358  0.0372  0.0378  0.03
Moravec 1969   1  0.571  0.271  0.271  0.714  0.641  0.67
Morozova 2008   72  0.3653  0.0073  0.0368  0.0386  0.0288  0.02
Neighaus 1950   16  0.4818  0.0121  0.1023  0.3775  0.0434  0.12
Niedzielski 1931   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ohlsson 1999   12  0.5012  0.0211  0.0820  0.3958  0.0531  0.14
Osinska 1989   36  0.4355  0.0063  0.0364  0.0382  0.0460  0.03
Pachmann 1927   84  0.3140  0.0086  0.0380  0.0378  0.0469  0.03
Paderewski 1930   38  0.4375  0.0052  0.0365  0.0355  0.0555  0.04
Perlemuter 1992   57  0.3845  0.0036  0.0535  0.1677  0.0341  0.07
Pierdomenico 2008   83  0.3219  0.0181  0.0370  0.0363  0.0554  0.04
Poblocka 1999   17  0.4859  0.0030  0.0821  0.3967  0.0433  0.12
Rabcewiczowa 1932   61  0.3882  0.0066  0.0366  0.0383  0.0365  0.03
Rachmaninoff 1923   4  0.539  0.024  0.202  0.6616  0.452  0.54
Rangell 2001   81  0.3280  0.0084  0.0371  0.0381  0.0381  0.03
Richter 1976   23  0.4637  0.0031  0.0828  0.3135  0.2614  0.28
Rosen 1989   46  0.4173  0.0059  0.0454  0.0487  0.0376  0.03
Rosenthal 1930   41  0.4265  0.0064  0.0361  0.0337  0.1643  0.07
Rosenthal 1931   74  0.3549  0.0062  0.0451  0.0434  0.2836  0.11
Rosenthal 1931b   71  0.3641  0.0035  0.0539  0.1224  0.3919  0.22
Rosenthal 1931c   37  0.4356  0.0039  0.0538  0.1325  0.3720  0.22
Rosenthal 1931d   69  0.3767  0.0038  0.0542  0.1027  0.2823  0.17
Rossi 2007   86  0.2930  0.0080  0.0378  0.0342  0.1346  0.06
Rubinstein 1939   79  0.3331  0.0074  0.0286  0.0255  0.0564  0.03
Rubinstein 1952   73  0.3551  0.0051  0.0357  0.0383  0.0484  0.03
Rubinstein 1966   66  0.3784  0.0079  0.0356  0.0374  0.0470  0.03
Schilhawsky 1960   8  0.523  0.113  0.215  0.6026  0.433  0.51
Shebanova 2002   11  0.508  0.027  0.107  0.5534  0.2011  0.33
Smith 1975   56  0.3957  0.0070  0.0377  0.0387  0.0363  0.03
Sokolov 2002   39  0.4278  0.0050  0.0453  0.0470  0.0361  0.03
Sztompka 1959   13  0.5010  0.0217  0.1012  0.4965  0.0527  0.16
Tomsic 1995   80  0.3347  0.0085  0.0359  0.0372  0.0468  0.03
Uninsky 1932   10  0.5126  0.0018  0.1113  0.4938  0.2112  0.32
Uninsky 1971   30  0.4661  0.0042  0.0540  0.1277  0.0442  0.07
Wasowski 1980   6  0.5233  0.0014  0.119  0.5422  0.316  0.41
Zak 1937   14  0.4925  0.0013  0.098  0.5453  0.0525  0.16
Zak 1951   22  0.4736  0.0016  0.0911  0.4962  0.0526  0.16
Random 1   89  -0.0690  0.0089  0.0289  0.0250  0.0477  0.03
Random 2   88  -0.0370  0.0088  0.0288  0.0256  0.0472  0.03
Random 3   90  -0.0788  0.0090  0.0190  0.0187  0.0290  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).