Ashkenazy 1981

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   31  0.4211  0.0129  0.0831  0.3125  0.3531  0.33
Anderszewski 2003   70  0.2969  0.0060  0.0566  0.0547  0.0760  0.06
Ashkenazy 1981   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bacha 2000   17  0.4533  0.0015  0.1121  0.493  0.6916  0.58
Badura 1965   50  0.3819  0.0040  0.0640  0.1913  0.4733  0.30
Barbosa 1983   45  0.3876  0.0059  0.0659  0.0660  0.0658  0.06
Biret 1990   66  0.3145  0.0072  0.0477  0.0468  0.0477  0.04
Blet 2003   21  0.4368  0.0032  0.0828  0.3512  0.5125  0.42
Block 1995   54  0.3661  0.0035  0.0738  0.2254  0.0647  0.11
Blumental 1952   32  0.4128  0.0030  0.0632  0.3134  0.2336  0.27
Boshniakovich 1969   38  0.4036  0.0026  0.1127  0.3739  0.2037  0.27
Brailowsky 1960   81  0.2255  0.0082  0.0474  0.0470  0.0571  0.04
Bunin 1987   30  0.4262  0.0031  0.0729  0.3317  0.4926  0.40
Bunin 1987b   36  0.4059  0.0037  0.0634  0.2724  0.4130  0.33
Chiu 1999   24  0.4320  0.0033  0.0735  0.2535  0.1738  0.21
Cohen 1997   79  0.2558  0.0077  0.0383  0.0375  0.0384  0.03
Cortot 1951   85  0.1882  0.0084  0.0380  0.0383  0.0289  0.02
Csalog 1996   67  0.3181  0.0064  0.0752  0.0753  0.0659  0.06
Czerny 1949   84  0.1984  0.0086  0.0478  0.0484  0.0282  0.03
Czerny 1990   15  0.4823  0.0021  0.1516  0.5627  0.5020  0.53
Duchoud 2007   43  0.3938  0.0042  0.0841  0.1916  0.4534  0.29
Ezaki 2006   65  0.3171  0.0073  0.0475  0.0474  0.0470  0.04
Falvay 1989   26  0.4349  0.0046  0.1045  0.1050  0.0651  0.08
Farrell 1958   78  0.2522  0.0074  0.0386  0.0380  0.0287  0.02
Ferenczy 1958   87  0.1260  0.0087  0.0385  0.0382  0.0381  0.03
Fliere 1977   11  0.5041  0.0017  0.1315  0.6038  0.2427  0.38
Fou 1978   3  0.5415  0.016  0.223  0.725  0.673  0.69
Francois 1956   74  0.2732  0.0075  0.0384  0.0367  0.0486  0.03
Friedman 1923   27  0.4346  0.0020  0.1218  0.547  0.6715  0.60
Friedman 1923b   25  0.4326  0.0019  0.2017  0.566  0.7011  0.63
Friedman 1930   22  0.4314  0.0118  0.1519  0.548  0.6317  0.58
Garcia 2007   73  0.2751  0.0066  0.0571  0.0558  0.0567  0.05
Garcia 2007b   42  0.3913  0.0139  0.0642  0.1823  0.4335  0.28
Gierzod 1998   49  0.3889  0.0043  0.0843  0.1666  0.0549  0.09
Gornostaeva 1994   72  0.2880  0.0080  0.0572  0.0585  0.0376  0.04
Groot 1988   12  0.4924  0.0010  0.1411  0.6412  0.5018  0.57
Harasiewicz 1955   35  0.4030  0.0051  0.0848  0.0859  0.0563  0.06
Hatto 1993   8  0.5117  0.014  0.255  0.698  0.629  0.65
Hatto 1997   37  0.4079  0.0036  0.0737  0.2279  0.0448  0.09
Horowitz 1949   19  0.446  0.0213  0.1120  0.511  0.7114  0.60
Indjic 1988   6  0.517  0.015  0.176  0.6911  0.627  0.65
Kapell 1951   41  0.3931  0.0050  0.0658  0.0648  0.0854  0.07
Kissin 1993   2  0.592  0.132  0.412  0.837  0.801  0.81
Kushner 1989   5  0.545  0.028  0.214  0.7016  0.5213  0.60
Luisada 1991   7  0.5135  0.009  0.178  0.655  0.685  0.66
Lushtak 2004   69  0.3056  0.0055  0.0660  0.0644  0.0762  0.06
Malcuzynski 1961   20  0.448  0.0122  0.1325  0.4135  0.2532  0.32
Magaloff 1978   59  0.3585  0.0058  0.0662  0.0685  0.0372  0.04
Magin 1975   10  0.509  0.0111  0.139  0.659  0.656  0.65
Michalowski 1933   53  0.3716  0.0127  0.1126  0.391  0.7021  0.52
Milkina 1970   62  0.3472  0.0062  0.0756  0.0767  0.0465  0.05
Mohovich 1999   63  0.3363  0.0057  0.0657  0.0657  0.0568  0.05
Moravec 1969   39  0.4083  0.0041  0.0639  0.2151  0.0644  0.11
Morozova 2008   16  0.4610  0.0116  0.1114  0.6121  0.4819  0.54
Neighaus 1950   29  0.4250  0.0025  0.1222  0.4716  0.4523  0.46
Niedzielski 1931   14  0.483  0.103  0.3212  0.631  0.744  0.68
Ohlsson 1999   18  0.4543  0.0024  0.1423  0.4714  0.4224  0.44
Osinska 1989   76  0.2677  0.0079  0.0479  0.0484  0.0378  0.03
Pachmann 1927   47  0.3857  0.0048  0.0754  0.0720  0.4540  0.18
Paderewski 1930   51  0.3834  0.0038  0.0636  0.237  0.6328  0.38
Perlemuter 1992   40  0.3948  0.0034  0.0733  0.2718  0.4529  0.35
Pierdomenico 2008   58  0.3574  0.0067  0.0569  0.0561  0.0473  0.04
Poblocka 1999   61  0.3475  0.0061  0.0753  0.0763  0.0556  0.06
Rabcewiczowa 1932   83  0.2078  0.0083  0.0568  0.0571  0.0474  0.04
Rachmaninoff 1923   33  0.4112  0.0123  0.1224  0.4515  0.5222  0.48
Rangell 2001   71  0.2865  0.0078  0.0476  0.0487  0.0285  0.03
Richter 1976   4  0.544  0.087  0.187  0.6716  0.6110  0.64
Rosen 1989   60  0.3473  0.0063  0.0665  0.0685  0.0375  0.04
Rosenthal 1930   64  0.3353  0.0069  0.0567  0.0542  0.1850  0.09
Rosenthal 1931   80  0.2386  0.0076  0.0381  0.0348  0.0766  0.05
Rosenthal 1931b   75  0.2644  0.0068  0.0570  0.0528  0.4441  0.15
Rosenthal 1931c   68  0.3064  0.0070  0.0661  0.0660  0.0569  0.05
Rosenthal 1931d   82  0.2254  0.0071  0.0573  0.0540  0.1452  0.08
Rossi 2007   86  0.1567  0.0085  0.0387  0.0371  0.0479  0.03
Rubinstein 1939   57  0.3570  0.0056  0.0751  0.0750  0.0557  0.06
Rubinstein 1952   46  0.3829  0.0052  0.0849  0.0845  0.0953  0.08
Rubinstein 1966   34  0.4037  0.0028  0.0830  0.3263  0.0643  0.14
Schilhawsky 1960   56  0.3552  0.0065  0.0664  0.0650  0.0661  0.06
Shebanova 2002   1  0.601  0.491  0.481  0.853  0.782  0.81
Smith 1975   77  0.2687  0.0081  0.0382  0.0383  0.0380  0.03
Sokolov 2002   44  0.3840  0.0053  0.0850  0.0840  0.1545  0.11
Sztompka 1959   9  0.5025  0.0014  0.1113  0.6212  0.6112  0.61
Tomsic 1995   48  0.3839  0.0047  0.0755  0.0740  0.1846  0.11
Uninsky 1932   13  0.4918  0.0112  0.1010  0.649  0.678  0.65
Uninsky 1971   55  0.3666  0.0049  0.0947  0.0951  0.0655  0.07
Wasowski 1980   52  0.3742  0.0054  0.0663  0.0655  0.0564  0.05
Zak 1937   23  0.4321  0.0044  0.0844  0.1631  0.2239  0.19
Zak 1951   28  0.4327  0.0045  0.1046  0.1034  0.2042  0.14
Random 1   88  -0.0247  0.0088  0.0288  0.0250  0.0483  0.03
Random 2   89  -0.0388  0.0089  0.0189  0.0170  0.0388  0.02
Random 3   90  -0.0690  0.0090  0.0190  0.0183  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).