Ashkenazy 1981

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   5  0.514  0.083  0.2210  0.467  0.544  0.50
Anderszewski 2003   45  0.3682  0.0043  0.0541  0.1372  0.0445  0.07
Ashkenazy 1981   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bacha 2000   7  0.496  0.038  0.116  0.5110  0.503  0.50
Badura 1965   56  0.3520  0.0040  0.0537  0.1947  0.0727  0.12
Barbosa 1983   37  0.3851  0.0081  0.0284  0.0279  0.0386  0.02
Biret 1990   13  0.4552  0.0013  0.099  0.4763  0.0521  0.15
Blet 2003   28  0.4159  0.0033  0.0724  0.2951  0.0623  0.13
Block 1995   80  0.2787  0.0072  0.0361  0.0374  0.0478  0.03
Blumental 1952   54  0.3521  0.0074  0.0357  0.0383  0.0379  0.03
Boshniakovich 1969   18  0.4342  0.0019  0.0818  0.4260  0.0620  0.16
Brailowsky 1960   74  0.3138  0.0059  0.0378  0.0376  0.0463  0.03
Bunin 1987   41  0.3746  0.0027  0.0725  0.2962  0.0431  0.11
Bunin 1987b   64  0.3466  0.0050  0.0746  0.0772  0.0453  0.05
Chiu 1999   77  0.2988  0.0080  0.0287  0.0278  0.0385  0.02
Cohen 1997   81  0.2761  0.0075  0.0358  0.0358  0.0481  0.03
Cortot 1951   87  0.2167  0.0088  0.0453  0.0471  0.0384  0.03
Csalog 1996   72  0.3283  0.0066  0.0455  0.0475  0.0455  0.04
Czerny 1949   62  0.3468  0.0079  0.0289  0.0285  0.0288  0.02
Czerny 1990   57  0.3535  0.0061  0.0356  0.0375  0.0382  0.03
Duchoud 2007   34  0.3922  0.0029  0.0533  0.2419  0.5011  0.35
Ezaki 2006   23  0.4280  0.0055  0.0370  0.0380  0.0359  0.03
Falvay 1989   27  0.4164  0.0058  0.0372  0.0373  0.0465  0.03
Farrell 1958   75  0.3143  0.0064  0.0380  0.0377  0.0468  0.03
Ferenczy 1958   82  0.2784  0.0086  0.0285  0.0274  0.0387  0.02
Fliere 1977   29  0.4185  0.0044  0.0638  0.1960  0.0533  0.10
Fou 1978   3  0.5314  0.016  0.154  0.5742  0.1314  0.27
Francois 1956   32  0.4017  0.0025  0.0620  0.3731  0.2712  0.32
Friedman 1923   50  0.3670  0.0017  0.0913  0.4516  0.516  0.48
Friedman 1923b   51  0.3650  0.009  0.128  0.4817  0.515  0.49
Friedman 1930   66  0.3310  0.0118  0.0816  0.4324  0.379  0.40
Garcia 2007   88  0.1889  0.0087  0.0382  0.0379  0.0377  0.03
Garcia 2007b   85  0.2474  0.0083  0.0371  0.0389  0.0289  0.02
Gierzod 1998   4  0.5118  0.0014  0.0815  0.4479  0.0330  0.11
Gornostaeva 1994   33  0.3925  0.0032  0.0630  0.2668  0.0439  0.10
Groot 1988   49  0.3632  0.0045  0.0645  0.1267  0.0446  0.07
Harasiewicz 1955   31  0.4013  0.0121  0.0834  0.2367  0.0440  0.10
Hatto 1993   47  0.3656  0.0047  0.0549  0.0567  0.0458  0.04
Hatto 1997   60  0.3527  0.0070  0.0373  0.0386  0.0375  0.03
Horowitz 1949   19  0.437  0.034  0.253  0.591  0.681  0.63
Indjic 1988   53  0.3544  0.0069  0.0376  0.0384  0.0372  0.03
Kapell 1951   78  0.2865  0.0065  0.0374  0.0372  0.0469  0.03
Kissin 1993   2  0.5349  0.0012  0.107  0.4942  0.2610  0.36
Kushner 1989   17  0.4381  0.0042  0.0540  0.1677  0.0444  0.08
Luisada 1991   21  0.4362  0.0034  0.0927  0.2774  0.0432  0.10
Lushtak 2004   73  0.3233  0.0024  0.0729  0.2679  0.0438  0.10
Malcuzynski 1961   52  0.3590  0.0054  0.0377  0.0368  0.0470  0.03
Magaloff 1978   42  0.3757  0.0073  0.0367  0.0383  0.0364  0.03
Magin 1975   22  0.4223  0.0037  0.0532  0.2574  0.0435  0.10
Michalowski 1933   86  0.2411  0.0128  0.0642  0.1322  0.3817  0.22
Milkina 1970   15  0.4545  0.0022  0.0723  0.3474  0.0426  0.12
Mohovich 1999   20  0.4324  0.0015  0.0817  0.4367  0.0425  0.13
Moravec 1969   71  0.3286  0.0082  0.0381  0.0373  0.0460  0.03
Morozova 2008   24  0.428  0.0320  0.0719  0.4041  0.1218  0.22
Neighaus 1950   6  0.492  0.202  0.332  0.603  0.652  0.62
Niedzielski 1931   36  0.3812  0.0110  0.1311  0.465  0.497  0.47
Ohlsson 1999   16  0.4429  0.0030  0.0628  0.2649  0.0529  0.11
Osinska 1989   48  0.3678  0.0063  0.0368  0.0385  0.0362  0.03
Pachmann 1927   55  0.3534  0.0053  0.0363  0.0336  0.2543  0.09
Paderewski 1930   83  0.2547  0.0078  0.0286  0.0233  0.1948  0.06
Perlemuter 1992   61  0.3571  0.0049  0.0648  0.0660  0.0451  0.05
Pierdomenico 2008   69  0.3336  0.0085  0.0383  0.0377  0.0366  0.03
Poblocka 1999   68  0.3355  0.0060  0.0360  0.0370  0.0554  0.04
Rabcewiczowa 1932   70  0.3272  0.0026  0.0726  0.2765  0.0436  0.10
Rachmaninoff 1923   43  0.375  0.047  0.1112  0.4538  0.2213  0.31
Rangell 2001   63  0.3463  0.0071  0.0379  0.0375  0.0483  0.03
Richter 1976   8  0.493  0.1011  0.1122  0.3541  0.1815  0.25
Rosen 1989   30  0.4069  0.0046  0.0550  0.0580  0.0356  0.04
Rosenthal 1930   59  0.3558  0.0068  0.0362  0.0343  0.1249  0.06
Rosenthal 1931   76  0.3091  0.0076  0.0359  0.0370  0.0473  0.03
Rosenthal 1931b   58  0.3560  0.0048  0.0647  0.0628  0.3222  0.14
Rosenthal 1931c   39  0.3875  0.0051  0.0451  0.0450  0.0850  0.06
Rosenthal 1931d   79  0.2876  0.0067  0.0375  0.0359  0.0557  0.04
Rossi 2007   67  0.3331  0.0052  0.0452  0.0446  0.0652  0.05
Rubinstein 1939   35  0.3939  0.0062  0.0366  0.0371  0.0467  0.03
Rubinstein 1952   25  0.4215  0.0136  0.0539  0.1881  0.0347  0.07
Rubinstein 1966   14  0.4548  0.0016  0.0814  0.4569  0.0424  0.13
Schilhawsky 1960   38  0.3819  0.0077  0.0454  0.0478  0.0374  0.03
Shebanova 2002   9  0.489  0.025  0.225  0.5523  0.358  0.44
Smith 1975   40  0.3728  0.0039  0.0543  0.1346  0.0834  0.10
Sokolov 2002   12  0.4530  0.0023  0.0821  0.3743  0.1416  0.23
Sztompka 1959   26  0.4137  0.0038  0.0635  0.2150  0.0537  0.10
Tomsic 1995   44  0.3716  0.0041  0.0444  0.1250  0.0742  0.09
Uninsky 1932   65  0.3354  0.0057  0.0369  0.0362  0.0476  0.03
Uninsky 1971   46  0.3641  0.0056  0.0365  0.0373  0.0471  0.03
Wasowski 1980   84  0.2473  0.0084  0.0364  0.0383  0.0361  0.03
Zak 1937   10  0.4640  0.0035  0.0636  0.2170  0.0441  0.09
Zak 1951   11  0.4653  0.0031  0.0631  0.2652  0.0528  0.11
Average   1  0.591  0.341  0.341  0.7266  0.0419  0.17
Random 1   90  -0.1026  0.0090  0.0190  0.0188  0.0291  0.01
Random 2   91  -0.1077  0.0091  0.0191  0.0184  0.0290  0.01
Random 3   89  -0.1079  0.0089  0.0288  0.0257  0.0480  0.03

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).