Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   20  0.4240  0.0015  0.0713  0.4768  0.0420  0.14
Anderszewski 2003   26  0.3868  0.0039  0.0538  0.1582  0.0340  0.07
Ashkenazy 1981   13  0.4550  0.0012  0.1116  0.4174  0.0423  0.13
Bacha 2000   72  0.2651  0.0077  0.0570  0.0584  0.0351  0.04
Badura 1965   15  0.4341  0.0016  0.0712  0.4740  0.246  0.34
Barbosa 1983   57  0.3128  0.0068  0.0557  0.0572  0.0465  0.04
Biret 1990   56  0.3269  0.0062  0.0569  0.0585  0.0285  0.03
Blet 2003   30  0.3852  0.0033  0.0832  0.2067  0.0432  0.09
Block 1995   54  0.3253  0.0029  0.0731  0.2067  0.0433  0.09
Blumental 1952   29  0.3813  0.0025  0.1023  0.3479  0.0329  0.10
Boshniakovich 1969   33  0.3870  0.0024  0.0819  0.3964  0.0521  0.14
Brailowsky 1960   75  0.2354  0.0081  0.0382  0.0387  0.0376  0.03
Bunin 1987   53  0.3255  0.0028  0.0728  0.2942  0.1212  0.19
Bunin 1987b   58  0.3142  0.0034  0.0734  0.1958  0.0527  0.10
Chiu 1999   21  0.4229  0.0035  0.0540  0.1562  0.0434  0.08
Cohen 1997   86  0.1171  0.0088  0.0386  0.0388  0.0289  0.02
Cortot 1951   51  0.3372  0.0059  0.0747  0.0747  0.0743  0.07
Csalog 1996   87  0.1073  0.0085  0.0288  0.0276  0.0388  0.02
Czerny 1949   37  0.3774  0.0017  0.1015  0.4646  0.0911  0.20
Czerny 1990   18  0.424  0.0013  0.1110  0.5173  0.0422  0.14
Duchoud 2007   44  0.3575  0.0043  0.0543  0.1367  0.0442  0.07
Ezaki 2006   31  0.3816  0.0044  0.0544  0.1181  0.0345  0.06
Falvay 1989   84  0.1422  0.0086  0.0387  0.0384  0.0378  0.03
Farrell 1958   35  0.3714  0.0046  0.0649  0.0680  0.0358  0.04
Ferenczy 1958   76  0.2330  0.0064  0.0472  0.0466  0.0467  0.04
Fliere 1977   8  0.487  0.0011  0.1111  0.5067  0.0417  0.14
Fou 1978   65  0.2831  0.0071  0.0567  0.0576  0.0459  0.04
Francois 1956   69  0.2756  0.0051  0.0477  0.0465  0.0387  0.03
Friedman 1923   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1923b   1  0.991  1.001  0.981  1.001  1.001  1.00
Friedman 1930   2  0.762  0.002  0.812  0.911  0.852  0.88
Garcia 2007   46  0.3543  0.0060  0.0652  0.0678  0.0369  0.04
Garcia 2007b   41  0.3611  0.0045  0.0645  0.1147  0.0636  0.08
Gierzod 1998   28  0.3857  0.0026  0.1029  0.2886  0.0241  0.07
Gornostaeva 1994   50  0.3358  0.0030  0.0833  0.1972  0.0335  0.08
Groot 1988   67  0.2732  0.0057  0.0556  0.0560  0.0473  0.04
Harasiewicz 1955   17  0.4276  0.0037  0.0530  0.2286  0.0244  0.07
Hatto 1993   7  0.4877  0.0020  0.1121  0.3548  0.0815  0.17
Hatto 1997   11  0.4659  0.0022  0.1225  0.3162  0.0524  0.12
Horowitz 1949   48  0.3433  0.0054  0.0654  0.0661  0.0449  0.05
Indjic 1988   10  0.4878  0.0021  0.1622  0.3452  0.0618  0.14
Kapell 1951   59  0.3160  0.0049  0.0564  0.0581  0.0361  0.04
Kissin 1993   66  0.2879  0.0065  0.0478  0.0486  0.0282  0.03
Kushner 1989   39  0.3712  0.0053  0.0563  0.0579  0.0360  0.04
Luisada 1991   24  0.3934  0.0040  0.0637  0.1682  0.0337  0.07
Lushtak 2004   32  0.3835  0.0056  0.0748  0.0786  0.0270  0.04
Malcuzynski 1961   40  0.3661  0.0027  0.0727  0.3176  0.0328  0.10
Magaloff 1978   52  0.3344  0.0047  0.0565  0.0587  0.0277  0.03
Magin 1975   25  0.3880  0.0031  0.0924  0.3257  0.0425  0.11
Michalowski 1933   23  0.4045  0.0018  0.0818  0.3939  0.247  0.31
Milkina 1970   80  0.2181  0.0073  0.0474  0.0480  0.0462  0.04
Mohovich 1999   62  0.298  0.0066  0.0655  0.0679  0.0371  0.04
Moravec 1969   78  0.229  0.0072  0.0562  0.0580  0.0352  0.04
Morozova 2008   19  0.4223  0.0023  0.0920  0.3764  0.0519  0.14
Neighaus 1950   6  0.4982  0.005  0.166  0.6040  0.158  0.30
Niedzielski 1931   34  0.3824  0.0010  0.1014  0.4633  0.295  0.37
Ohlsson 1999   16  0.4236  0.0014  0.1126  0.3169  0.0426  0.11
Osinska 1989   47  0.355  0.0052  0.0568  0.0588  0.0353  0.04
Pachmann 1927   73  0.2446  0.0082  0.0471  0.0482  0.0381  0.03
Paderewski 1930   64  0.2947  0.0058  0.0560  0.0569  0.0464  0.04
Perlemuter 1992   45  0.356  0.0032  0.0735  0.1860  0.0530  0.09
Pierdomenico 2008   79  0.2283  0.0078  0.0475  0.0477  0.0456  0.04
Poblocka 1999   49  0.3337  0.0050  0.0746  0.0769  0.0448  0.05
Rabcewiczowa 1932   70  0.2717  0.0067  0.0653  0.0675  0.0357  0.04
Rachmaninoff 1923   4  0.5025  0.006  0.174  0.6629  0.284  0.43
Rangell 2001   81  0.2184  0.0076  0.0481  0.0485  0.0384  0.03
Richter 1976   61  0.3062  0.0070  0.0650  0.0674  0.0363  0.04
Rosen 1989   12  0.4626  0.009  0.149  0.5649  0.0613  0.18
Rosenthal 1930   60  0.3185  0.0061  0.0561  0.0555  0.0650  0.05
Rosenthal 1931   77  0.2286  0.0079  0.0480  0.0466  0.0466  0.04
Rosenthal 1931b   74  0.2487  0.0075  0.0479  0.0458  0.0474  0.04
Rosenthal 1931c   68  0.2727  0.0063  0.0566  0.0554  0.0475  0.04
Rosenthal 1931d   82  0.2048  0.0080  0.0559  0.0562  0.0472  0.04
Rossi 2007   71  0.2738  0.0069  0.0558  0.0573  0.0455  0.04
Rubinstein 1939   83  0.1988  0.0083  0.0383  0.0378  0.0379  0.03
Rubinstein 1952   88  0.0889  0.0087  0.0384  0.0385  0.0486  0.03
Rubinstein 1966   63  0.2963  0.0074  0.0476  0.0488  0.0283  0.03
Schilhawsky 1960   14  0.4464  0.0019  0.1217  0.3950  0.0616  0.15
Shebanova 2002   43  0.353  0.0048  0.0473  0.0468  0.0568  0.04
Smith 1975   42  0.3665  0.0038  0.0542  0.1368  0.0438  0.07
Sokolov 2002   55  0.3218  0.0055  0.0651  0.0680  0.0354  0.04
Sztompka 1959   5  0.5049  0.007  0.257  0.5938  0.149  0.29
Tomsic 1995   85  0.1315  0.0084  0.0385  0.0384  0.0380  0.03
Uninsky 1932   9  0.4819  0.003  0.205  0.6219  0.443  0.52
Uninsky 1971   22  0.4190  0.008  0.268  0.5741  0.1310  0.27
Wasowski 1980   36  0.3720  0.0042  0.0541  0.1486  0.0346  0.06
Zak 1937   27  0.3821  0.0036  0.0536  0.1881  0.0339  0.07
Zak 1951   38  0.3766  0.0041  0.0539  0.1560  0.0531  0.09
Average   3  0.5267  0.004  0.143  0.6971  0.0414  0.17
Random 1   89  -0.0591  0.0089  0.0289  0.0231  0.2047  0.06
Random 2   91  -0.0610  0.0090  0.0190  0.0180  0.0290  0.01
Random 3   90  -0.0539  0.0091  0.0191  0.0182  0.0291  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).