Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   29  0.5365  0.0033  0.0828  0.2940  0.2530  0.27
Anderszewski 2003   7  0.623  0.057  0.1816  0.4512  0.5113  0.48
Ashkenazy 1981   3  0.6621  0.002  0.222  0.714  0.651  0.68
Bacha 2000   80  0.3890  0.0071  0.0470  0.0452  0.0671  0.05
Badura 1965   60  0.4549  0.0064  0.0553  0.0545  0.1359  0.08
Barbosa 1983   86  0.3467  0.0073  0.0381  0.0352  0.0682  0.04
Biret 1990   68  0.4386  0.0061  0.0464  0.0469  0.0585  0.04
Blet 2003   49  0.4925  0.0068  0.0467  0.0447  0.0675  0.05
Block 1995   45  0.4977  0.0042  0.0442  0.1127  0.2638  0.17
Blumental 1952   46  0.494  0.0429  0.0835  0.1831  0.2037  0.19
Boshniakovich 1969   8  0.6029  0.0018  0.0930  0.2631  0.2831  0.27
Brailowsky 1960   56  0.4678  0.0067  0.0374  0.0342  0.1760  0.07
Bunin 1987   71  0.4380  0.0062  0.0459  0.0444  0.1166  0.07
Bunin 1987b   72  0.4322  0.0063  0.0554  0.0543  0.1162  0.07
Chiu 1999   65  0.4461  0.0041  0.0640  0.1429  0.3434  0.22
Cohen 1997   88  0.2364  0.0087  0.0380  0.0384  0.0389  0.03
Cortot 1951   84  0.3587  0.0086  0.0379  0.0371  0.0490  0.03
Csalog 1996   85  0.3442  0.0053  0.0456  0.0445  0.1163  0.07
Czerny 1949   55  0.4688  0.0037  0.0539  0.1544  0.1345  0.14
Czerny 1990   16  0.5818  0.0115  0.0914  0.4821  0.3818  0.43
Duchoud 2007   33  0.5255  0.0035  0.0733  0.2511  0.4823  0.35
Ezaki 2006   22  0.5754  0.0027  0.0931  0.2641  0.1933  0.22
Falvay 1989   50  0.4743  0.0065  0.0471  0.0452  0.0673  0.05
Farrell 1958   77  0.3974  0.0083  0.0377  0.0377  0.0386  0.03
Ferenczy 1958   87  0.3081  0.0088  0.0375  0.0376  0.0387  0.03
Fliere 1977   5  0.6519  0.018  0.134  0.6519  0.485  0.56
Fou 1978   26  0.5420  0.0128  0.1323  0.3632  0.2628  0.31
Francois 1956   74  0.4262  0.0050  0.0648  0.0640  0.1854  0.10
Friedman 1923   79  0.3832  0.0079  0.0457  0.0424  0.3251  0.11
Friedman 1923b   78  0.3952  0.0078  0.0385  0.0327  0.2956  0.09
Friedman 1930   67  0.4357  0.0058  0.0461  0.0442  0.1364  0.07
Garcia 2007   76  0.3982  0.0076  0.0387  0.0338  0.1665  0.07
Garcia 2007b   62  0.4428  0.0051  0.0551  0.0515  0.4046  0.14
Gierzod 1998   17  0.5813  0.0214  0.0912  0.5025  0.4314  0.46
Gornostaeva 1994   11  0.6033  0.0021  0.0813  0.4919  0.529  0.50
Groot 1988   42  0.5044  0.0032  0.0732  0.2543  0.1139  0.17
Harasiewicz 1955   14  0.5911  0.026  0.148  0.5723  0.4310  0.50
Hatto 1993   23  0.569  0.0210  0.1110  0.5210  0.528  0.52
Hatto 1997   28  0.5360  0.0017  0.1122  0.3619  0.3324  0.34
Horowitz 1949   41  0.5031  0.0049  0.0846  0.0822  0.4935  0.20
Indjic 1988   24  0.5610  0.0211  0.129  0.5210  0.537  0.52
Kapell 1951   48  0.4976  0.0055  0.0466  0.0455  0.0579  0.04
Kissin 1993   2  0.668  0.033  0.183  0.689  0.632  0.65
Kushner 1989   6  0.646  0.034  0.185  0.6311  0.534  0.58
Luisada 1991   4  0.662  0.055  0.156  0.596  0.613  0.60
Lushtak 2004   58  0.4559  0.0060  0.0465  0.0458  0.0584  0.04
Malcuzynski 1961   13  0.5950  0.0024  0.1120  0.4216  0.3620  0.39
Magaloff 1978   25  0.5545  0.0036  0.0829  0.2830  0.2332  0.25
Magin 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Michalowski 1933   35  0.5112  0.0234  0.0634  0.218  0.5125  0.33
Milkina 1970   20  0.5751  0.0026  0.0918  0.4331  0.3322  0.38
Mohovich 1999   37  0.5163  0.0048  0.0649  0.0654  0.0770  0.06
Moravec 1969   73  0.4238  0.0054  0.0462  0.0440  0.1658  0.08
Morozova 2008   9  0.6016  0.0112  0.1725  0.3321  0.3126  0.32
Neighaus 1950   34  0.5269  0.0040  0.0536  0.1654  0.0557  0.09
Niedzielski 1931   52  0.4739  0.0047  0.0550  0.0518  0.4742  0.15
Ohlsson 1999   10  0.605  0.049  0.167  0.5912  0.506  0.54
Osinska 1989   47  0.4966  0.0056  0.0460  0.0480  0.0477  0.04
Pachmann 1927   83  0.3668  0.0081  0.0384  0.0343  0.1369  0.06
Paderewski 1930   70  0.4341  0.0084  0.0458  0.0464  0.0480  0.04
Perlemuter 1992   43  0.5024  0.0043  0.0543  0.1034  0.2241  0.15
Pierdomenico 2008   51  0.4772  0.0052  0.0747  0.0725  0.3043  0.14
Poblocka 1999   27  0.5346  0.0046  0.0552  0.0552  0.0672  0.05
Rabcewiczowa 1932   75  0.4189  0.0069  0.0378  0.0360  0.0578  0.04
Rachmaninoff 1923   36  0.5170  0.0025  0.1121  0.3920  0.4019  0.39
Rangell 2001   57  0.4679  0.0059  0.0469  0.0441  0.1367  0.07
Richter 1976   19  0.577  0.0319  0.0824  0.3510  0.5316  0.43
Rosen 1989   18  0.5836  0.0022  0.1015  0.4622  0.4017  0.43
Rosenthal 1930   66  0.4447  0.0082  0.0382  0.0362  0.0583  0.04
Rosenthal 1931   61  0.4584  0.0074  0.0386  0.0321  0.4948  0.12
Rosenthal 1931b   64  0.4430  0.0075  0.0383  0.0317  0.5150  0.12
Rosenthal 1931c   53  0.4658  0.0072  0.0376  0.0332  0.3353  0.10
Rosenthal 1931d   69  0.4337  0.0080  0.0373  0.0318  0.4649  0.12
Rossi 2007   82  0.3783  0.0077  0.0288  0.0232  0.2168  0.06
Rubinstein 1939   81  0.3740  0.0085  0.0555  0.0545  0.0961  0.07
Rubinstein 1952   59  0.4514  0.0231  0.0737  0.1640  0.1740  0.16
Rubinstein 1966   63  0.4471  0.0070  0.0468  0.0458  0.0676  0.05
Schilhawsky 1960   44  0.5073  0.0038  0.0738  0.1539  0.2436  0.19
Shebanova 2002   21  0.5727  0.0023  0.0911  0.5120  0.4812  0.49
Smith 1975   12  0.6034  0.0013  0.1026  0.3224  0.3027  0.31
Sokolov 2002   15  0.5815  0.0116  0.0919  0.4216  0.4415  0.43
Sztompka 1959   40  0.5035  0.0057  0.0463  0.0479  0.0481  0.04
Tomsic 1995   54  0.4648  0.0066  0.0472  0.0446  0.0774  0.05
Uninsky 1932   39  0.5153  0.0045  0.0544  0.0938  0.2244  0.14
Uninsky 1971   32  0.5256  0.0039  0.0641  0.1144  0.1052  0.10
Wasowski 1980   31  0.5226  0.0044  0.0445  0.0934  0.1947  0.13
Zak 1937   38  0.5123  0.0030  0.0727  0.3033  0.2829  0.29
Zak 1951   30  0.5317  0.0120  0.0917  0.4429  0.3421  0.39
Average   1  0.721  0.501  0.491  0.8240  0.2911  0.49
Random 1   90  -0.0575  0.0091  0.0191  0.0142  0.1188  0.03
Random 2   91  -0.0591  0.0090  0.0190  0.0154  0.0591  0.02
Random 3   89  0.0285  0.0089  0.0289  0.027  0.4555  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).