Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   19  0.4240  0.0014  0.0712  0.4767  0.0419  0.14
Anderszewski 2003   25  0.3867  0.0038  0.0537  0.1581  0.0339  0.07
Ashkenazy 1981   12  0.4550  0.0011  0.1215  0.4173  0.0422  0.13
Bacha 2000   71  0.2651  0.0076  0.0569  0.0583  0.0351  0.04
Badura 1965   14  0.4341  0.0015  0.0711  0.4739  0.246  0.34
Barbosa 1983   56  0.3128  0.0067  0.0556  0.0571  0.0465  0.04
Biret 1990   55  0.3268  0.0061  0.0568  0.0584  0.0285  0.03
Blet 2003   29  0.3852  0.0032  0.0831  0.2066  0.0431  0.09
Block 1995   53  0.3253  0.0028  0.0730  0.2066  0.0432  0.09
Blumental 1952   28  0.3813  0.0024  0.1022  0.3478  0.0328  0.10
Boshniakovich 1969   32  0.3869  0.0023  0.0818  0.3963  0.0520  0.14
Brailowsky 1960   74  0.2354  0.0080  0.0481  0.0486  0.0377  0.03
Bunin 1987   52  0.3255  0.0027  0.0827  0.2941  0.1212  0.19
Bunin 1987b   57  0.3142  0.0033  0.0733  0.1957  0.0526  0.10
Chiu 1999   20  0.4229  0.0034  0.0539  0.1561  0.0433  0.08
Cohen 1997   85  0.1170  0.0087  0.0385  0.0387  0.0288  0.02
Cortot 1951   50  0.3371  0.0058  0.0746  0.0746  0.0742  0.07
Csalog 1996   86  0.1072  0.0084  0.0287  0.0275  0.0387  0.02
Czerny 1949   36  0.3773  0.0016  0.1014  0.4645  0.0911  0.20
Czerny 1990   17  0.424  0.0012  0.119  0.5172  0.0421  0.14
Duchoud 2007   43  0.3574  0.0042  0.0542  0.1366  0.0441  0.07
Ezaki 2006   30  0.3816  0.0043  0.0543  0.1180  0.0344  0.06
Falvay 1989   83  0.1422  0.0085  0.0386  0.0383  0.0379  0.03
Farrell 1958   34  0.3714  0.0045  0.0748  0.0779  0.0348  0.05
Ferenczy 1958   75  0.2330  0.0063  0.0471  0.0465  0.0467  0.04
Fliere 1977   7  0.487  0.0010  0.1210  0.5066  0.0416  0.14
Fou 1978   64  0.2831  0.0070  0.0566  0.0575  0.0458  0.04
Francois 1956   68  0.2756  0.0050  0.0476  0.0464  0.0476  0.04
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   45  0.3543  0.0059  0.0651  0.0677  0.0369  0.04
Garcia 2007b   40  0.3611  0.0044  0.0644  0.1146  0.0635  0.08
Gierzod 1998   27  0.3857  0.0025  0.1028  0.2885  0.0240  0.07
Gornostaeva 1994   49  0.3358  0.0029  0.0832  0.1971  0.0334  0.08
Groot 1988   66  0.2732  0.0056  0.0555  0.0559  0.0473  0.04
Harasiewicz 1955   16  0.4275  0.0036  0.0529  0.2285  0.0243  0.07
Hatto 1993   6  0.4876  0.0019  0.1120  0.3547  0.0814  0.17
Hatto 1997   10  0.4659  0.0021  0.1224  0.3161  0.0523  0.12
Horowitz 1949   47  0.3433  0.0053  0.0653  0.0660  0.0449  0.05
Indjic 1988   9  0.4877  0.0020  0.1621  0.3451  0.0617  0.14
Kapell 1951   58  0.3160  0.0048  0.0563  0.0580  0.0460  0.04
Kissin 1993   65  0.2878  0.0064  0.0477  0.0485  0.0282  0.03
Kushner 1989   38  0.3712  0.0052  0.0562  0.0578  0.0359  0.04
Luisada 1991   23  0.3934  0.0039  0.0636  0.1681  0.0336  0.07
Lushtak 2004   31  0.3835  0.0055  0.0747  0.0785  0.0270  0.04
Malcuzynski 1961   39  0.3661  0.0026  0.0826  0.3175  0.0327  0.10
Magaloff 1978   51  0.3344  0.0046  0.0564  0.0586  0.0278  0.03
Magin 1975   24  0.3879  0.0030  0.0923  0.3256  0.0424  0.11
Michalowski 1933   22  0.4045  0.0017  0.0917  0.3938  0.247  0.31
Milkina 1970   79  0.2180  0.0072  0.0473  0.0479  0.0461  0.04
Mohovich 1999   61  0.298  0.0065  0.0654  0.0678  0.0371  0.04
Moravec 1969   77  0.229  0.0071  0.0561  0.0579  0.0352  0.04
Morozova 2008   18  0.4223  0.0022  0.0919  0.3763  0.0518  0.14
Neighaus 1950   5  0.4981  0.004  0.165  0.6039  0.158  0.30
Niedzielski 1931   33  0.3824  0.009  0.1013  0.4632  0.295  0.37
Ohlsson 1999   15  0.4236  0.0013  0.1125  0.3168  0.0425  0.11
Osinska 1989   46  0.355  0.0051  0.0567  0.0587  0.0353  0.04
Pachmann 1927   72  0.2446  0.0081  0.0570  0.0581  0.0364  0.04
Paderewski 1930   63  0.2947  0.0057  0.0559  0.0568  0.0463  0.04
Perlemuter 1992   44  0.356  0.0031  0.0734  0.1859  0.0529  0.09
Pierdomenico 2008   78  0.2282  0.0077  0.0474  0.0476  0.0456  0.04
Poblocka 1999   48  0.3337  0.0049  0.0745  0.0768  0.0447  0.05
Rabcewiczowa 1932   69  0.2717  0.0066  0.0652  0.0674  0.0357  0.04
Rachmaninoff 1923   3  0.5025  0.005  0.173  0.6628  0.284  0.43
Rangell 2001   80  0.2183  0.0075  0.0480  0.0484  0.0384  0.03
Richter 1976   60  0.3062  0.0069  0.0649  0.0673  0.0362  0.04
Rosen 1989   11  0.4626  0.008  0.158  0.5648  0.0613  0.18
Rosenthal 1930   59  0.3184  0.0060  0.0560  0.0554  0.0650  0.05
Rosenthal 1931   76  0.2285  0.0078  0.0479  0.0465  0.0466  0.04
Rosenthal 1931b   73  0.2486  0.0074  0.0478  0.0457  0.0474  0.04
Rosenthal 1931c   67  0.2727  0.0062  0.0565  0.0553  0.0475  0.04
Rosenthal 1931d   81  0.2048  0.0079  0.0558  0.0561  0.0472  0.04
Rossi 2007   70  0.2738  0.0068  0.0557  0.0572  0.0455  0.04
Rubinstein 1939   82  0.1987  0.0082  0.0382  0.0377  0.0480  0.03
Rubinstein 1952   87  0.0888  0.0086  0.0383  0.0384  0.0486  0.03
Rubinstein 1966   62  0.2963  0.0073  0.0475  0.0487  0.0283  0.03
Schilhawsky 1960   13  0.4464  0.0018  0.1216  0.3949  0.0615  0.15
Shebanova 2002   42  0.353  0.0047  0.0472  0.0467  0.0568  0.04
Smith 1975   41  0.3665  0.0037  0.0541  0.1367  0.0437  0.07
Sokolov 2002   54  0.3218  0.0054  0.0650  0.0679  0.0354  0.04
Sztompka 1959   4  0.5049  0.006  0.256  0.5937  0.149  0.29
Tomsic 1995   84  0.1315  0.0083  0.0384  0.0383  0.0381  0.03
Uninsky 1932   8  0.4819  0.003  0.224  0.6218  0.443  0.52
Uninsky 1971   21  0.4189  0.007  0.267  0.5740  0.1310  0.27
Wasowski 1980   35  0.3720  0.0041  0.0540  0.1485  0.0345  0.06
Zak 1937   26  0.3821  0.0035  0.0535  0.1880  0.0338  0.07
Zak 1951   37  0.3766  0.0040  0.0538  0.1559  0.0530  0.09
Random 1   88  -0.0590  0.0088  0.0288  0.0231  0.1946  0.06
Random 2   90  -0.0610  0.0089  0.0189  0.0179  0.0289  0.01
Random 3   89  -0.0539  0.0090  0.0190  0.0181  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).