Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   41  0.4533  0.0050  0.0648  0.0660  0.0458  0.05
Anderszewski 2003   42  0.4441  0.0030  0.0633  0.2248  0.0539  0.10
Ashkenazy 1981   40  0.4555  0.0048  0.0647  0.0656  0.0460  0.05
Bacha 2000   35  0.4665  0.0046  0.0557  0.0536  0.2336  0.11
Badura 1965   66  0.3771  0.0047  0.0556  0.0566  0.0475  0.04
Barbosa 1983   64  0.386  0.078  0.1327  0.3065  0.0533  0.12
Biret 1990   17  0.5245  0.0026  0.0719  0.3447  0.0824  0.16
Blet 2003   57  0.3926  0.0037  0.0544  0.1072  0.0453  0.06
Block 1995   26  0.4917  0.0112  0.0817  0.3717  0.414  0.39
Blumental 1952   83  0.2769  0.0071  0.0376  0.0381  0.0384  0.03
Boshniakovich 1969   6  0.552  0.132  0.181  0.6012  0.511  0.55
Brailowsky 1960   51  0.4277  0.0066  0.0469  0.0442  0.1346  0.07
Bunin 1987   67  0.3725  0.0074  0.0471  0.0478  0.0386  0.03
Bunin 1987b   69  0.3662  0.0075  0.0375  0.0384  0.0380  0.03
Chiu 1999   62  0.3814  0.0123  0.0924  0.3041  0.1619  0.22
Cohen 1997   73  0.3363  0.0061  0.0560  0.0524  0.2934  0.12
Cortot 1951   52  0.4232  0.0042  0.0642  0.1141  0.1435  0.12
Csalog 1996   49  0.4280  0.0056  0.0465  0.0443  0.1451  0.07
Czerny 1949   54  0.4020  0.0153  0.0551  0.0570  0.0472  0.04
Czerny 1990   25  0.4940  0.0040  0.0636  0.1967  0.0443  0.09
Duchoud 2007   21  0.5012  0.0222  0.0728  0.2936  0.1818  0.23
Ezaki 2006   15  0.523  0.097  0.134  0.5644  0.1215  0.26
Falvay 1989   30  0.4835  0.0033  0.0634  0.2037  0.1722  0.18
Farrell 1958   31  0.4729  0.0035  0.0630  0.2536  0.1620  0.20
Ferenczy 1958   74  0.3378  0.0086  0.0385  0.0383  0.0290  0.02
Fliere 1977   16  0.529  0.039  0.109  0.4769  0.0427  0.14
Fou 1978   23  0.505  0.074  0.155  0.5433  0.246  0.36
Francois 1956   48  0.4259  0.0057  0.0564  0.0575  0.0376  0.04
Friedman 1923   87  0.2188  0.0077  0.0384  0.0380  0.0489  0.03
Friedman 1923b   86  0.2149  0.0076  0.0380  0.0368  0.0487  0.03
Friedman 1930   85  0.2516  0.0170  0.0372  0.0374  0.0483  0.03
Garcia 2007   65  0.3774  0.0064  0.0645  0.0643  0.1145  0.08
Garcia 2007b   79  0.3047  0.0084  0.0378  0.0342  0.1064  0.05
Gierzod 1998   22  0.5039  0.0039  0.0635  0.2065  0.0442  0.09
Gornostaeva 1994   4  0.5575  0.0015  0.1118  0.3729  0.318  0.34
Groot 1988   38  0.4566  0.0045  0.0553  0.0546  0.0661  0.05
Harasiewicz 1955   37  0.454  0.083  0.136  0.4950  0.0623  0.17
Hatto 1993   82  0.2930  0.0051  0.0555  0.0561  0.0562  0.05
Hatto 1997   78  0.3046  0.0029  0.0641  0.1384  0.0354  0.06
Horowitz 1949   56  0.3987  0.0072  0.0374  0.0361  0.0481  0.03
Indjic 1988   81  0.2968  0.0052  0.0646  0.0672  0.0457  0.05
Kapell 1951   13  0.538  0.0338  0.0537  0.1951  0.0538  0.10
Kissin 1993   8  0.5451  0.0013  0.088  0.4760  0.0526  0.15
Kushner 1989   3  0.577  0.036  0.162  0.5931  0.263  0.39
Luisada 1991   46  0.4344  0.0055  0.0561  0.0556  0.0656  0.05
Lushtak 2004   45  0.4318  0.0128  0.0729  0.2765  0.0440  0.10
Malcuzynski 1961   2  0.5910  0.035  0.1316  0.4124  0.317  0.36
Magaloff 1978   11  0.5321  0.0118  0.0920  0.3332  0.2116  0.26
Magin 1975   36  0.4653  0.0044  0.0740  0.1368  0.0449  0.07
Michalowski 1933   80  0.2983  0.0078  0.0386  0.0368  0.0568  0.04
Milkina 1970   1  0.591  0.211  0.203  0.5720  0.432  0.50
Mohovich 1999   14  0.5336  0.0021  0.0715  0.4245  0.0921  0.19
Moravec 1969   47  0.4243  0.0069  0.0468  0.0476  0.0377  0.03
Morozova 2008   58  0.3919  0.0149  0.0559  0.0572  0.0470  0.04
Neighaus 1950   10  0.5315  0.0117  0.1013  0.4550  0.0625  0.16
Niedzielski 1931   75  0.3284  0.0085  0.0381  0.0371  0.0379  0.03
Ohlsson 1999   9  0.5423  0.0120  0.0812  0.4570  0.0431  0.13
Osinska 1989   18  0.5211  0.0314  0.0910  0.4741  0.1910  0.30
Pachmann 1927   55  0.4057  0.0062  0.0649  0.0626  0.3428  0.14
Paderewski 1930   27  0.4927  0.0019  0.0925  0.3021  0.3011  0.30
Perlemuter 1992   63  0.3860  0.0063  0.0650  0.0680  0.0365  0.04
Pierdomenico 2008   24  0.4972  0.0034  0.0631  0.2421  0.3412  0.29
Poblocka 1999   12  0.5342  0.0027  0.0723  0.3264  0.0529  0.13
Rabcewiczowa 1932   44  0.4356  0.0058  0.0562  0.0541  0.1244  0.08
Rachmaninoff 1923   77  0.3185  0.0073  0.0373  0.0385  0.0378  0.03
Rangell 2001   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Richter 1976   59  0.3973  0.0065  0.0467  0.0468  0.0467  0.04
Rosen 1989   5  0.5537  0.0016  0.1511  0.4733  0.219  0.31
Rosenthal 1930   70  0.3648  0.0087  0.0470  0.0468  0.0474  0.04
Rosenthal 1931   72  0.3681  0.0082  0.0383  0.0344  0.1152  0.06
Rosenthal 1931b   68  0.3790  0.0080  0.0382  0.0344  0.1063  0.05
Rosenthal 1931c   53  0.4082  0.0079  0.0287  0.0252  0.0488  0.03
Rosenthal 1931d   60  0.3989  0.0081  0.0377  0.0341  0.1455  0.06
Rossi 2007   84  0.2661  0.0067  0.0466  0.0441  0.1347  0.07
Rubinstein 1939   71  0.3652  0.0054  0.0554  0.0531  0.2732  0.12
Rubinstein 1952   28  0.4922  0.0132  0.0632  0.2330  0.2817  0.25
Rubinstein 1966   20  0.5024  0.0110  0.097  0.4731  0.305  0.38
Schilhawsky 1960   76  0.3258  0.0083  0.0379  0.0379  0.0482  0.03
Shebanova 2002   7  0.5513  0.0211  0.0814  0.4336  0.1813  0.28
Smith 1975   43  0.4450  0.0043  0.0643  0.1168  0.0448  0.07
Sokolov 2002   33  0.4754  0.0059  0.0558  0.0569  0.0466  0.04
Sztompka 1959   32  0.4734  0.0041  0.0639  0.1476  0.0450  0.07
Tomsic 1995   19  0.5167  0.0031  0.0626  0.3033  0.2414  0.27
Uninsky 1932   61  0.3864  0.0068  0.0563  0.0569  0.0471  0.04
Uninsky 1971   50  0.4238  0.0060  0.0552  0.0570  0.0469  0.04
Wasowski 1980   39  0.4531  0.0036  0.0638  0.1557  0.0541  0.09
Zak 1937   29  0.4870  0.0025  0.0721  0.3268  0.0437  0.11
Zak 1951   34  0.4728  0.0024  0.0822  0.3265  0.0530  0.13
Random 1   90  -0.0686  0.0090  0.0190  0.0144  0.0985  0.03
Random 2   89  0.0076  0.0089  0.0189  0.0135  0.1973  0.04
Random 3   88  0.0079  0.0088  0.0188  0.0124  0.2759  0.05

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).