Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   39  0.4448  0.0040  0.0637  0.1981  0.0343  0.08
Anderszewski 2003   70  0.3262  0.0066  0.0659  0.0658  0.0457  0.05
Ashkenazy 1981   28  0.4654  0.0032  0.0724  0.3277  0.0338  0.10
Bacha 2000   59  0.3684  0.0064  0.0563  0.0575  0.0460  0.04
Badura 1965   84  0.2790  0.0080  0.0287  0.0283  0.0388  0.02
Barbosa 1983   85  0.2765  0.0074  0.0382  0.0382  0.0477  0.03
Biret 1990   27  0.4650  0.0018  0.0714  0.4558  0.0522  0.15
Blet 2003   60  0.3672  0.0075  0.0478  0.0488  0.0279  0.03
Block 1995   54  0.4077  0.0046  0.0753  0.0743  0.1045  0.08
Blumental 1952   80  0.2940  0.0059  0.0561  0.0586  0.0280  0.03
Boshniakovich 1969   13  0.4834  0.0021  0.0627  0.2771  0.0437  0.10
Brailowsky 1960   73  0.3291  0.0076  0.0476  0.0471  0.0463  0.04
Bunin 1987   75  0.3128  0.0083  0.0380  0.0386  0.0381  0.03
Bunin 1987b   76  0.3141  0.0082  0.0289  0.0281  0.0385  0.02
Chiu 1999   33  0.4515  0.0123  0.0619  0.3849  0.0619  0.15
Cohen 1997   79  0.3022  0.0169  0.0473  0.0459  0.0473  0.04
Cortot 1951   66  0.3337  0.0072  0.0475  0.0459  0.0575  0.04
Csalog 1996   58  0.3656  0.0063  0.0465  0.0452  0.0656  0.05
Czerny 1949   55  0.3969  0.0054  0.0847  0.0874  0.0451  0.06
Czerny 1990   15  0.4870  0.0034  0.0735  0.2180  0.0346  0.08
Duchoud 2007   35  0.4410  0.0210  0.0926  0.2854  0.0528  0.12
Ezaki 2006   38  0.4489  0.0044  0.0544  0.1184  0.0348  0.06
Falvay 1989   8  0.529  0.028  0.114  0.5629  0.351  0.44
Farrell 1958   40  0.4424  0.0128  0.0918  0.3941  0.1512  0.24
Ferenczy 1958   81  0.2961  0.0079  0.0383  0.0383  0.0286  0.02
Fliere 1977   7  0.5214  0.0115  0.1115  0.4386  0.0329  0.11
Fou 1978   23  0.4742  0.0017  0.0917  0.4250  0.0616  0.16
Francois 1956   26  0.466  0.046  0.189  0.5034  0.282  0.37
Friedman 1923   88  0.2233  0.0088  0.0477  0.0475  0.0476  0.04
Friedman 1923b   87  0.2344  0.0087  0.0469  0.0467  0.0574  0.04
Friedman 1930   72  0.3245  0.0068  0.0467  0.0459  0.0572  0.04
Garcia 2007   46  0.427  0.0320  0.0632  0.2418  0.368  0.29
Garcia 2007b   36  0.4412  0.0124  0.0623  0.3218  0.374  0.34
Gierzod 1998   24  0.4732  0.0036  0.0533  0.2371  0.0344  0.08
Gornostaeva 1994   30  0.4574  0.0051  0.0656  0.0682  0.0282  0.03
Groot 1988   21  0.4716  0.0114  0.1316  0.4335  0.265  0.33
Harasiewicz 1955   14  0.4823  0.017  0.0913  0.4561  0.0524  0.15
Hatto 1993   65  0.3431  0.0058  0.0846  0.0879  0.0452  0.06
Hatto 1997   68  0.3357  0.0056  0.0658  0.0675  0.0458  0.05
Horowitz 1949   53  0.4053  0.0055  0.0750  0.0752  0.0550  0.06
Indjic 1988   69  0.3375  0.0057  0.0654  0.0680  0.0455  0.05
Kapell 1951   41  0.4319  0.0150  0.0751  0.0782  0.0354  0.05
Kissin 1993   6  0.5326  0.004  0.166  0.5366  0.0517  0.16
Kushner 1989   4  0.543  0.073  0.172  0.6344  0.137  0.29
Luisada 1991   43  0.4378  0.0053  0.0655  0.0678  0.0362  0.04
Lushtak 2004   47  0.4273  0.0037  0.0729  0.2552  0.0531  0.11
Malcuzynski 1961   12  0.4825  0.0129  0.0734  0.2361  0.0434  0.10
Magaloff 1978   17  0.485  0.0413  0.1012  0.4629  0.253  0.34
Magin 1975   18  0.4729  0.0025  0.0725  0.3047  0.0725  0.14
Michalowski 1933   67  0.3360  0.0070  0.0471  0.0471  0.0469  0.04
Milkina 1970   29  0.4513  0.019  0.1210  0.4844  0.1310  0.25
Mohovich 1999   32  0.4580  0.0035  0.0536  0.2170  0.0439  0.09
Moravec 1969   61  0.3679  0.0061  0.0466  0.0473  0.0461  0.04
Morozova 2008   42  0.4355  0.0033  0.0531  0.2469  0.0436  0.10
Neighaus 1950   10  0.498  0.0316  0.1311  0.4762  0.0523  0.15
Niedzielski 1931   74  0.3246  0.0062  0.0564  0.0571  0.0366  0.04
Ohlsson 1999   11  0.484  0.075  0.158  0.5063  0.0426  0.14
Osinska 1989   5  0.5320  0.0112  0.107  0.5252  0.0614  0.18
Pachmann 1927   51  0.4121  0.0141  0.0642  0.1335  0.2215  0.17
Paderewski 1930   31  0.4527  0.0026  0.0628  0.2628  0.2411  0.25
Perlemuter 1992   37  0.4458  0.0049  0.0748  0.0761  0.0549  0.06
Pierdomenico 2008   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Poblocka 1999   56  0.3788  0.0065  0.0472  0.0475  0.0464  0.04
Rabcewiczowa 1932   52  0.4166  0.0052  0.0560  0.0580  0.0367  0.04
Rachmaninoff 1923   62  0.3559  0.0039  0.0641  0.1576  0.0441  0.08
Rangell 2001   9  0.4971  0.0022  0.0622  0.3432  0.249  0.29
Richter 1976   50  0.4135  0.0060  0.0470  0.0454  0.0568  0.04
Rosen 1989   2  0.5511  0.0211  0.125  0.5460  0.0518  0.16
Rosenthal 1930   71  0.3283  0.0084  0.0386  0.0384  0.0287  0.02
Rosenthal 1931   86  0.2686  0.0086  0.0379  0.0373  0.0378  0.03
Rosenthal 1931b   82  0.2881  0.0081  0.0385  0.0373  0.0384  0.03
Rosenthal 1931c   77  0.3085  0.0085  0.0384  0.0388  0.0289  0.02
Rosenthal 1931d   78  0.3068  0.0078  0.0381  0.0364  0.0483  0.03
Rossi 2007   49  0.4118  0.0145  0.0545  0.1015  0.4313  0.21
Rubinstein 1939   83  0.2836  0.0071  0.0474  0.0470  0.0465  0.04
Rubinstein 1952   44  0.4243  0.0048  0.0749  0.0737  0.1832  0.11
Rubinstein 1966   45  0.4276  0.0043  0.0543  0.1147  0.1035  0.10
Schilhawsky 1960   64  0.3449  0.0073  0.0562  0.0584  0.0371  0.04
Shebanova 2002   3  0.542  0.112  0.173  0.6339  0.166  0.32
Smith 1975   22  0.4763  0.0030  0.0738  0.1882  0.0347  0.07
Sokolov 2002   34  0.4517  0.0131  0.0630  0.2466  0.0433  0.10
Sztompka 1959   25  0.4664  0.0042  0.0739  0.1778  0.0442  0.08
Tomsic 1995   20  0.4751  0.0038  0.0640  0.1747  0.0730  0.11
Uninsky 1932   57  0.3738  0.0067  0.0657  0.0669  0.0559  0.05
Uninsky 1971   63  0.3487  0.0077  0.0468  0.0476  0.0470  0.04
Wasowski 1980   48  0.4239  0.0047  0.0752  0.0774  0.0453  0.05
Zak 1937   16  0.4830  0.0027  0.0621  0.3661  0.0527  0.13
Zak 1951   19  0.4752  0.0019  0.0620  0.3651  0.0620  0.15
Average   1  0.591  0.341  0.341  0.7676  0.0321  0.15
Random 1   91  -0.0847  0.0091  0.0191  0.0178  0.0291  0.01
Random 2   90  -0.0882  0.0090  0.0190  0.0174  0.0290  0.01
Random 3   89  0.0067  0.0089  0.0288  0.0214  0.3940  0.09

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).