Block 1995

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   77  0.2460  0.0067  0.0557  0.0570  0.0475  0.04
Anderszewski 2003   6  0.569  0.017  0.176  0.6827  0.456  0.55
Ashkenazy 1981   72  0.2768  0.0078  0.0474  0.0461  0.0383  0.03
Bacha 2000   69  0.2836  0.0066  0.0562  0.0576  0.0366  0.04
Badura 1965   55  0.3322  0.0064  0.0649  0.0655  0.0660  0.06
Barbosa 1983   8  0.5210  0.019  0.179  0.6229  0.3511  0.47
Biret 1990   16  0.4738  0.0024  0.1022  0.4447  0.0635  0.16
Blet 2003   59  0.3216  0.0155  0.0553  0.0541  0.1450  0.08
Block 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Blumental 1952   14  0.4912  0.018  0.1812  0.5425  0.4710  0.50
Boshniakovich 1969   74  0.2675  0.0068  0.0480  0.0478  0.0382  0.03
Brailowsky 1960   5  0.566  0.024  0.228  0.6512  0.623  0.63
Bunin 1987   64  0.3052  0.0070  0.0472  0.0466  0.0477  0.04
Bunin 1987b   70  0.2876  0.0075  0.0382  0.0370  0.0480  0.03
Chiu 1999   44  0.3733  0.0039  0.0641  0.1525  0.3027  0.21
Cohen 1997   82  0.1869  0.0084  0.0465  0.0474  0.0384  0.03
Cortot 1951   66  0.2919  0.0020  0.1037  0.2042  0.2128  0.20
Csalog 1996   31  0.4237  0.0015  0.1023  0.4324  0.3418  0.38
Czerny 1949   61  0.3282  0.0065  0.0551  0.0572  0.0474  0.04
Czerny 1990   12  0.4939  0.0022  0.1310  0.5647  0.0926  0.22
Duchoud 2007   84  0.1570  0.0082  0.0385  0.0350  0.0676  0.04
Ezaki 2006   3  0.593  0.105  0.255  0.7125  0.475  0.58
Falvay 1989   2  0.621  0.371  0.371  0.834  0.731  0.78
Farrell 1958   52  0.3561  0.0057  0.0558  0.0551  0.0662  0.05
Ferenczy 1958   23  0.4411  0.0114  0.1116  0.4914  0.579  0.53
Fliere 1977   17  0.4617  0.0018  0.1019  0.4650  0.0630  0.17
Fou 1978   9  0.5114  0.0110  0.197  0.6617  0.447  0.54
Francois 1956   85  0.1466  0.0085  0.0386  0.0374  0.0385  0.03
Friedman 1923   58  0.3283  0.0054  0.0552  0.0531  0.3045  0.12
Friedman 1923b   57  0.3367  0.0052  0.0747  0.0726  0.3834  0.16
Friedman 1930   76  0.2484  0.0077  0.0470  0.0459  0.0573  0.04
Garcia 2007   78  0.2477  0.0076  0.0383  0.0344  0.1159  0.06
Garcia 2007b   79  0.2062  0.0080  0.0381  0.0386  0.0289  0.02
Gierzod 1998   40  0.3846  0.0033  0.0731  0.2860  0.0540  0.12
Gornostaeva 1994   28  0.4224  0.0027  0.0825  0.3834  0.2721  0.32
Groot 1988   46  0.3627  0.0043  0.0644  0.1452  0.0551  0.08
Harasiewicz 1955   18  0.4613  0.0128  0.0726  0.3565  0.0444  0.12
Hatto 1993   36  0.3931  0.0042  0.0639  0.1773  0.0452  0.08
Hatto 1997   42  0.3828  0.0046  0.0746  0.0772  0.0465  0.05
Horowitz 1949   75  0.2553  0.0072  0.0477  0.0440  0.1454  0.07
Indjic 1988   38  0.3947  0.0045  0.0743  0.1477  0.0358  0.06
Kapell 1951   13  0.497  0.0211  0.2017  0.4930  0.4112  0.45
Kissin 1993   21  0.4551  0.0035  0.0928  0.3337  0.3520  0.34
Kushner 1989   41  0.3840  0.0044  0.0642  0.1564  0.0548  0.09
Luisada 1991   45  0.3678  0.0063  0.0560  0.0561  0.0467  0.04
Lushtak 2004   10  0.4979  0.0023  0.1313  0.5143  0.1823  0.30
Malcuzynski 1961   34  0.4154  0.0029  0.0630  0.3159  0.0538  0.12
Magaloff 1978   35  0.3932  0.0058  0.0467  0.0477  0.0379  0.03
Magin 1975   54  0.3421  0.0048  0.0554  0.0585  0.0370  0.04
Michalowski 1933   87  0.0585  0.0087  0.0287  0.0285  0.0287  0.02
Milkina 1970   39  0.3886  0.0051  0.0650  0.0676  0.0463  0.05
Mohovich 1999   7  0.5525  0.006  0.254  0.7214  0.564  0.63
Moravec 1969   15  0.4929  0.0016  0.1018  0.4824  0.4013  0.44
Morozova 2008   62  0.3173  0.0069  0.0479  0.0473  0.0472  0.04
Neighaus 1950   71  0.278  0.0149  0.0559  0.0533  0.2346  0.11
Niedzielski 1931   60  0.3255  0.0047  0.0648  0.0615  0.4133  0.16
Ohlsson 1999   65  0.3057  0.0053  0.0561  0.0554  0.0564  0.05
Osinska 1989   33  0.4141  0.0036  0.0834  0.2661  0.0637  0.12
Pachmann 1927   83  0.1758  0.0083  0.0471  0.0457  0.0571  0.04
Paderewski 1930   90  -0.0787  0.0089  0.0189  0.0188  0.0290  0.01
Perlemuter 1992   81  0.1848  0.0081  0.0473  0.0457  0.0468  0.04
Pierdomenico 2008   86  0.0780  0.0088  0.0288  0.0287  0.0286  0.02
Poblocka 1999   1  0.642  0.332  0.402  0.794  0.722  0.75
Rabcewiczowa 1932   32  0.414  0.0313  0.1215  0.5026  0.3216  0.40
Rachmaninoff 1923   11  0.4963  0.0019  0.1111  0.5511  0.528  0.53
Rangell 2001   47  0.3649  0.0056  0.0555  0.0547  0.0861  0.06
Richter 1976   27  0.4264  0.0041  0.0740  0.1544  0.1436  0.14
Rosen 1989   50  0.3630  0.0031  0.0735  0.2638  0.2525  0.25
Rosenthal 1930   53  0.3474  0.0061  0.0463  0.0429  0.3841  0.12
Rosenthal 1931   37  0.3915  0.0130  0.0732  0.2710  0.5317  0.38
Rosenthal 1931b   73  0.2726  0.0074  0.0466  0.0445  0.1356  0.07
Rosenthal 1931c   48  0.3643  0.0050  0.0556  0.0541  0.1749  0.09
Rosenthal 1931d   63  0.3156  0.0062  0.0464  0.0427  0.3543  0.12
Rossi 2007   80  0.1971  0.0079  0.0478  0.0444  0.1057  0.06
Rubinstein 1939   51  0.3542  0.0038  0.0645  0.1367  0.0453  0.07
Rubinstein 1952   22  0.4550  0.0021  0.1114  0.5051  0.0632  0.17
Rubinstein 1966   20  0.4534  0.0026  0.0924  0.4050  0.0731  0.17
Schilhawsky 1960   68  0.2972  0.0073  0.0476  0.0481  0.0381  0.03
Shebanova 2002   25  0.4365  0.0012  0.1221  0.4522  0.4114  0.43
Smith 1975   49  0.3688  0.0060  0.0475  0.0460  0.0569  0.04
Sokolov 2002   67  0.2935  0.0071  0.0468  0.0472  0.0378  0.03
Sztompka 1959   43  0.3744  0.0032  0.0833  0.2635  0.3124  0.28
Tomsic 1995   29  0.4223  0.0017  0.1029  0.3322  0.3819  0.35
Uninsky 1932   56  0.3320  0.0059  0.0469  0.0444  0.1155  0.07
Uninsky 1971   30  0.4218  0.0037  0.0836  0.2349  0.0639  0.12
Wasowski 1980   26  0.4359  0.0025  0.1020  0.4633  0.3415  0.40
Zak 1937   19  0.4589  0.0034  0.0727  0.3435  0.2922  0.31
Zak 1951   24  0.4390  0.0040  0.0838  0.2056  0.0547  0.10
Average   4  0.575  0.033  0.293  0.7457  0.0529  0.19
Random 1   88  0.0345  0.0086  0.0384  0.034  0.5242  0.12
Random 2   89  0.0181  0.0090  0.0190  0.0157  0.0488  0.02
Random 3   91  -0.1191  0.0091  0.0191  0.0186  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).