Bunin 1987

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   26  0.635  0.0032  0.0635  0.2141  0.1040  0.14
Anderszewski 2003   40  0.596  0.0023  0.0825  0.3217  0.3924  0.35
Ashkenazy 1981   32  0.627  0.0038  0.0738  0.1554  0.0453  0.08
Bacha 2000   80  0.368  0.0086  0.0380  0.0370  0.0469  0.03
Badura 1965   57  0.519  0.0050  0.0555  0.0537  0.2145  0.10
Barbosa 1983   28  0.6310  0.0026  0.0732  0.2619  0.3925  0.32
Biret 1990   38  0.6111  0.0051  0.0463  0.0448  0.0568  0.04
Blet 2003   6  0.7512  0.0011  0.129  0.4613  0.4010  0.43
Block 1995   75  0.3913  0.0059  0.0371  0.0377  0.0378  0.03
Blumental 1952   77  0.3714  0.0075  0.0379  0.0357  0.0480  0.03
Boshniakovich 1969   46  0.5715  0.0061  0.0373  0.0353  0.0481  0.03
Brailowsky 1960   50  0.562  0.0064  0.0464  0.0456  0.0559  0.04
Bunin 1987   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bunin 1987b   1  1.001  1.001  0.991  1.000  1.001  1.00
Chiu 1999   68  0.4616  0.0066  0.0462  0.0450  0.0560  0.04
Cohen 1997   87  0.2217  0.0080  0.0284  0.0252  0.0482  0.03
Cortot 1951   48  0.5618  0.0052  0.0552  0.0541  0.1648  0.09
Csalog 1996   84  0.2819  0.0087  0.0381  0.0385  0.0287  0.02
Czerny 1949   23  0.6520  0.0028  0.0624  0.3424  0.3127  0.32
Czerny 1990   17  0.6921  0.0022  0.1020  0.3735  0.2031  0.27
Duchoud 2007   21  0.6722  0.0030  0.1022  0.3623  0.4017  0.38
Ezaki 2006   5  0.7623  0.007  0.166  0.4915  0.388  0.43
Falvay 1989   45  0.5724  0.0063  0.0459  0.0475  0.0372  0.03
Farrell 1958   35  0.6125  0.0057  0.0546  0.0530  0.1847  0.09
Ferenczy 1958   22  0.6626  0.0035  0.0729  0.277  0.4922  0.36
Fliere 1977   10  0.7127  0.0018  0.0819  0.3738  0.1432  0.23
Fou 1978   54  0.5328  0.0065  0.0466  0.0454  0.0562  0.04
Francois 1956   31  0.6229  0.0033  0.0736  0.2050  0.0546  0.10
Friedman 1923   83  0.2930  0.0054  0.0461  0.0412  0.4341  0.13
Friedman 1923b   82  0.3031  0.0053  0.0553  0.0511  0.4339  0.15
Friedman 1930   63  0.4832  0.0027  0.0727  0.3010  0.4321  0.36
Garcia 2007   69  0.4633  0.0060  0.0372  0.0318  0.3444  0.10
Garcia 2007b   86  0.2734  0.0069  0.0377  0.0357  0.0485  0.03
Gierzod 1998   43  0.5735  0.0062  0.0465  0.0448  0.0567  0.04
Gornostaeva 1994   37  0.6136  0.0047  0.0551  0.0545  0.0655  0.05
Groot 1988   16  0.6937  0.0013  0.0718  0.3927  0.2428  0.31
Harasiewicz 1955   24  0.6438  0.003  0.187  0.494  0.456  0.47
Hatto 1993   67  0.4639  0.0046  0.0549  0.0523  0.2842  0.12
Hatto 1997   44  0.5740  0.0034  0.0731  0.2615  0.3926  0.32
Horowitz 1949   49  0.5641  0.0058  0.0547  0.0542  0.1054  0.07
Indjic 1988   58  0.5042  0.0041  0.0643  0.1118  0.3735  0.20
Kapell 1951   11  0.7143  0.0016  0.0712  0.4316  0.449  0.43
Kissin 1993   70  0.4544  0.0078  0.0468  0.0466  0.0465  0.04
Kushner 1989   52  0.5445  0.0067  0.0548  0.0557  0.0463  0.04
Luisada 1991   53  0.5346  0.0071  0.0378  0.0356  0.0470  0.03
Lushtak 2004   2  0.7847  0.004  0.162  0.582  0.602  0.59
Malcuzynski 1961   14  0.7148  0.0019  0.0810  0.4533  0.1830  0.28
Magaloff 1978   33  0.6249  0.0025  0.0733  0.2472  0.0350  0.08
Magin 1975   65  0.4750  0.0068  0.0469  0.0455  0.0461  0.04
Michalowski 1933   73  0.4351  0.0037  0.0734  0.2324  0.3729  0.29
Milkina 1970   72  0.4352  0.0081  0.0382  0.0372  0.0376  0.03
Mohovich 1999   8  0.7453  0.009  0.1013  0.4318  0.3615  0.39
Moravec 1969   74  0.403  0.0082  0.0285  0.0279  0.0286  0.02
Morozova 2008   29  0.6254  0.0024  0.0730  0.2721  0.2033  0.23
Neighaus 1950   13  0.7155  0.0014  0.0711  0.4527  0.3218  0.38
Niedzielski 1931   78  0.3756  0.0079  0.0470  0.0470  0.0375  0.03
Ohlsson 1999   36  0.6157  0.0049  0.0457  0.0455  0.0564  0.04
Osinska 1989   62  0.4858  0.0076  0.0460  0.0455  0.0458  0.04
Pachmann 1927   42  0.5759  0.008  0.0926  0.3112  0.5113  0.40
Paderewski 1930   47  0.5760  0.0042  0.0540  0.1218  0.2638  0.18
Perlemuter 1992   18  0.6861  0.0017  0.0715  0.429  0.4311  0.42
Pierdomenico 2008   66  0.4762  0.0072  0.0467  0.0467  0.0373  0.03
Poblocka 1999   30  0.624  0.0040  0.0541  0.1245  0.0649  0.08
Rabcewiczowa 1932   51  0.5663  0.0048  0.0554  0.0540  0.1351  0.08
Rachmaninoff 1923   19  0.6864  0.0012  0.0914  0.4311  0.3812  0.40
Rangell 2001   71  0.4465  0.0074  0.0376  0.0371  0.0383  0.03
Richter 1976   34  0.6266  0.0031  0.0823  0.358  0.4216  0.38
Rosen 1989   64  0.4767  0.0070  0.0374  0.0354  0.0479  0.03
Rosenthal 1930   25  0.6368  0.0029  0.0728  0.3012  0.4619  0.37
Rosenthal 1931   55  0.5269  0.0043  0.0642  0.1226  0.3336  0.20
Rosenthal 1931b   60  0.4970  0.0044  0.0544  0.0934  0.1643  0.12
Rosenthal 1931c   41  0.5971  0.0039  0.0737  0.1622  0.3134  0.22
Rosenthal 1931d   59  0.4972  0.0045  0.0545  0.0545  0.0656  0.05
Rossi 2007   85  0.2873  0.0073  0.0375  0.0359  0.0371  0.03
Rubinstein 1939   81  0.3174  0.0085  0.0287  0.0254  0.0574  0.03
Rubinstein 1952   76  0.3875  0.0083  0.0286  0.0259  0.0584  0.03
Rubinstein 1966   56  0.5176  0.0077  0.0456  0.0447  0.0566  0.04
Schilhawsky 1960   7  0.7477  0.005  0.193  0.562  0.564  0.56
Shebanova 2002   79  0.3678  0.0084  0.0283  0.0273  0.0388  0.02
Smith 1975   9  0.7379  0.0010  0.098  0.4621  0.2623  0.35
Sokolov 2002   3  0.7780  0.006  0.205  0.5112  0.445  0.47
Sztompka 1959   15  0.6981  0.0021  0.0816  0.4118  0.3914  0.40
Tomsic 1995   12  0.7182  0.0020  0.0921  0.3618  0.3620  0.36
Uninsky 1932   20  0.6783  0.0015  0.0717  0.415  0.507  0.45
Uninsky 1971   4  0.7784  0.002  0.184  0.553  0.583  0.56
Wasowski 1980   61  0.4985  0.0055  0.0458  0.0449  0.0557  0.04
Zak 1937   39  0.6086  0.0056  0.0550  0.0540  0.1452  0.08
Zak 1951   27  0.6387  0.0036  0.0739  0.1530  0.2537  0.19
Random 1   88  -0.0588  0.0089  0.0189  0.0173  0.0389  0.02
Random 2   90  -0.1389  0.0088  0.0288  0.0251  0.0477  0.03
Random 3   89  -0.0690  0.0090  0.0190  0.0187  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).