Bunin 1987

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   83  0.2248  0.0086  0.0379  0.0384  0.0383  0.03
Anderszewski 2003   5  0.5013  0.003  0.153  0.6233  0.334  0.45
Ashkenazy 1981   47  0.3749  0.0055  0.0461  0.0424  0.2937  0.11
Bacha 2000   52  0.3615  0.0050  0.0552  0.0531  0.2833  0.12
Badura 1965   55  0.3510  0.0010  0.1223  0.3124  0.357  0.33
Barbosa 1983   6  0.5016  0.005  0.175  0.5863  0.0618  0.19
Biret 1990   43  0.3850  0.0047  0.0646  0.0667  0.0465  0.05
Blet 2003   50  0.3611  0.0033  0.0635  0.1624  0.2515  0.20
Block 1995   71  0.3012  0.0065  0.0465  0.0471  0.0474  0.04
Blumental 1952   35  0.4025  0.0046  0.0558  0.0554  0.0664  0.05
Boshniakovich 1969   13  0.4617  0.009  0.129  0.5243  0.1114  0.24
Brailowsky 1960   64  0.3251  0.0077  0.0647  0.0673  0.0456  0.05
Bunin 1987   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bunin 1987b   1  0.971  0.991  0.981  1.001  1.001  1.00
Chiu 1999   68  0.3152  0.0062  0.0377  0.0360  0.0568  0.04
Cohen 1997   69  0.316  0.0051  0.0551  0.0527  0.2042  0.10
Cortot 1951   85  0.2153  0.0085  0.0386  0.0373  0.0385  0.03
Csalog 1996   36  0.4054  0.0038  0.0537  0.1467  0.0449  0.07
Czerny 1949   10  0.4735  0.0021  0.0616  0.3656  0.0725  0.16
Czerny 1990   41  0.3955  0.0040  0.0439  0.1163  0.0550  0.07
Duchoud 2007   80  0.2426  0.0053  0.0554  0.0534  0.3728  0.14
Ezaki 2006   11  0.4727  0.0013  0.1310  0.4850  0.0622  0.17
Falvay 1989   9  0.4736  0.008  0.158  0.5740  0.216  0.35
Farrell 1958   65  0.3256  0.0067  0.0466  0.0464  0.0470  0.04
Ferenczy 1958   46  0.3718  0.0058  0.0559  0.0556  0.0663  0.05
Fliere 1977   15  0.4557  0.0014  0.1514  0.4152  0.0527  0.14
Fou 1978   78  0.2437  0.0082  0.0287  0.0287  0.0286  0.02
Francois 1956   72  0.2958  0.0061  0.0471  0.0445  0.0766  0.05
Friedman 1923   84  0.2159  0.0072  0.0473  0.0462  0.0577  0.04
Friedman 1923b   86  0.2060  0.0071  0.0385  0.0360  0.0575  0.04
Friedman 1930   75  0.293  0.0054  0.0745  0.0735  0.2331  0.13
Garcia 2007   56  0.3528  0.0056  0.0460  0.0437  0.2441  0.10
Garcia 2007b   48  0.3761  0.0037  0.0536  0.1448  0.0645  0.09
Gierzod 1998   12  0.4662  0.0035  0.0730  0.2167  0.0443  0.09
Gornostaeva 1994   3  0.5138  0.004  0.174  0.6115  0.492  0.55
Groot 1988   30  0.427  0.0017  0.0719  0.3359  0.0532  0.13
Harasiewicz 1955   53  0.3663  0.0068  0.0469  0.0463  0.0576  0.04
Hatto 1993   17  0.4464  0.0027  0.0717  0.3677  0.0435  0.12
Hatto 1997   31  0.4265  0.0031  0.0826  0.2669  0.0440  0.10
Horowitz 1949   21  0.434  0.0020  0.0634  0.1611  0.4911  0.28
Indjic 1988   22  0.4366  0.0028  0.0918  0.3561  0.0434  0.12
Kapell 1951   14  0.455  0.0023  0.0627  0.2645  0.1024  0.16
Kissin 1993   73  0.2939  0.0081  0.0378  0.0382  0.0382  0.03
Kushner 1989   8  0.4867  0.0012  0.1012  0.4552  0.0623  0.16
Luisada 1991   24  0.4368  0.0041  0.0438  0.1330  0.2817  0.19
Lushtak 2004   28  0.4269  0.0011  0.1111  0.4741  0.1910  0.30
Malcuzynski 1961   2  0.5140  0.002  0.242  0.7025  0.423  0.54
Magaloff 1978   49  0.3770  0.0057  0.0555  0.0555  0.0658  0.05
Magin 1975   25  0.4371  0.0042  0.0440  0.1164  0.0448  0.07
Michalowski 1933   87  0.1372  0.0087  0.0381  0.0380  0.0287  0.02
Milkina 1970   4  0.518  0.006  0.137  0.5749  0.0621  0.18
Mohovich 1999   16  0.4441  0.0015  0.1315  0.3842  0.1116  0.20
Moravec 1969   23  0.4329  0.0034  0.0829  0.2156  0.0636  0.11
Morozova 2008   29  0.4214  0.0029  0.0621  0.3241  0.1119  0.19
Neighaus 1950   63  0.3230  0.0036  0.0641  0.1142  0.1138  0.11
Niedzielski 1931   81  0.2473  0.0075  0.0553  0.0545  0.0947  0.07
Ohlsson 1999   51  0.3619  0.0026  0.0625  0.2837  0.2313  0.25
Osinska 1989   7  0.4831  0.007  0.146  0.5842  0.169  0.30
Pachmann 1927   76  0.2720  0.0060  0.0472  0.0449  0.0661  0.05
Paderewski 1930   79  0.2421  0.0078  0.0383  0.0360  0.0480  0.03
Perlemuter 1992   39  0.3922  0.0024  0.0531  0.1925  0.3512  0.26
Pierdomenico 2008   77  0.2542  0.0079  0.0380  0.0349  0.0569  0.04
Poblocka 1999   44  0.3874  0.0063  0.0463  0.0477  0.0467  0.04
Rabcewiczowa 1932   18  0.4475  0.0022  0.0620  0.3259  0.0529  0.13
Rachmaninoff 1923   66  0.3132  0.0039  0.0442  0.1161  0.0546  0.07
Rangell 2001   33  0.4043  0.0030  0.0632  0.1838  0.2020  0.19
Richter 1976   59  0.3344  0.0069  0.0468  0.0463  0.0471  0.04
Rosen 1989   54  0.3576  0.0048  0.0648  0.0647  0.0654  0.06
Rosenthal 1930   74  0.2977  0.0083  0.0382  0.0370  0.0484  0.03
Rosenthal 1931   62  0.339  0.0073  0.0470  0.0466  0.0472  0.04
Rosenthal 1931b   57  0.3578  0.0066  0.0374  0.0329  0.2644  0.09
Rosenthal 1931c   37  0.4045  0.0043  0.0543  0.1031  0.2426  0.15
Rosenthal 1931d   58  0.3479  0.0070  0.0464  0.0440  0.1451  0.07
Rossi 2007   61  0.3380  0.0074  0.0556  0.0547  0.0657  0.05
Rubinstein 1939   32  0.4233  0.0044  0.0544  0.1065  0.0453  0.06
Rubinstein 1952   34  0.4081  0.0019  0.0833  0.1773  0.0352  0.07
Rubinstein 1966   20  0.4382  0.0018  0.0622  0.3267  0.0530  0.13
Schilhawsky 1960   26  0.4346  0.0025  0.0524  0.3031  0.348  0.32
Shebanova 2002   19  0.432  0.0016  0.0813  0.4126  0.325  0.36
Smith 1975   82  0.2383  0.0084  0.0376  0.0377  0.0379  0.03
Sokolov 2002   60  0.3384  0.0064  0.0375  0.0363  0.0378  0.03
Sztompka 1959   70  0.3034  0.0080  0.0384  0.0382  0.0381  0.03
Tomsic 1995   40  0.3985  0.0052  0.0550  0.0563  0.0560  0.05
Uninsky 1932   67  0.3123  0.0076  0.0467  0.0452  0.0573  0.04
Uninsky 1971   45  0.3786  0.0045  0.0462  0.0454  0.0662  0.05
Wasowski 1980   42  0.3887  0.0059  0.0557  0.0570  0.0555  0.05
Zak 1937   38  0.3947  0.0049  0.0649  0.0657  0.0559  0.05
Zak 1951   27  0.4224  0.0032  0.0728  0.2568  0.0439  0.10
Random 1   89  -0.0588  0.0088  0.0188  0.0156  0.0489  0.02
Random 2   88  0.0089  0.0089  0.0189  0.0152  0.0488  0.02
Random 3   90  -0.0690  0.0090  0.0190  0.0164  0.0390  0.02

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).