Ashkenazy 1981

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   57  0.3355  0.0061  0.0847  0.0846  0.0766  0.07
Anderszewski 2003   70  0.2276  0.0066  0.0475  0.0441  0.1365  0.07
Ashkenazy 1981   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bacha 2000   39  0.4264  0.0030  0.0836  0.386  0.6036  0.48
Badura 1965   42  0.4159  0.0040  0.0841  0.226  0.6439  0.38
Barbosa 1983   47  0.3841  0.0048  0.0663  0.0620  0.4452  0.16
Biret 1990   76  0.1652  0.0082  0.0481  0.0467  0.0480  0.04
Blet 2003   32  0.4618  0.0038  0.1038  0.3019  0.5638  0.41
Block 1995   34  0.4542  0.0028  0.1128  0.5412  0.6129  0.57
Blumental 1952   29  0.4726  0.0024  0.1227  0.542  0.7626  0.64
Boshniakovich 1969   48  0.3765  0.0042  0.0842  0.1635  0.3043  0.22
Brailowsky 1960   83  0.1317  0.0078  0.0476  0.0458  0.0670  0.05
Bunin 1987   31  0.4721  0.0035  0.1533  0.445  0.6532  0.53
Bunin 1987b   28  0.4761  0.0034  0.0932  0.455  0.6530  0.54
Chiu 1999   15  0.579  0.0215  0.2215  0.757  0.7217  0.73
Cohen 1997   69  0.2278  0.0079  0.0570  0.0567  0.0378  0.04
Cortot 1951   79  0.1681  0.0080  0.0477  0.0472  0.0387  0.03
Csalog 1996   62  0.3079  0.0063  0.0849  0.0843  0.1460  0.11
Czerny 1949   86  0.0471  0.0088  0.0287  0.0275  0.0484  0.03
Czerny 1990   9  0.6010  0.0211  0.1612  0.792  0.886  0.83
Duchoud 2007   46  0.3982  0.0053  0.0662  0.0635  0.2459  0.12
Ezaki 2006   72  0.2048  0.0077  0.0574  0.0565  0.0474  0.04
Falvay 1989   37  0.4444  0.0039  0.1039  0.266  0.5340  0.37
Farrell 1958   73  0.2037  0.0076  0.0480  0.0468  0.0477  0.04
Ferenczy 1958   89  -0.0266  0.0089  0.0288  0.0266  0.0483  0.03
Fliere 1977   12  0.5967  0.0010  0.1610  0.7914  0.7413  0.76
Fou 1978   16  0.5531  0.0016  0.1914  0.751  0.7714  0.76
Francois 1956   82  0.1468  0.0081  0.0382  0.0373  0.0388  0.03
Friedman 1923   24  0.5072  0.0027  0.1424  0.5910  0.7224  0.65
Friedman 1923b   22  0.5039  0.0026  0.1223  0.6011  0.7421  0.67
Friedman 1930   18  0.5322  0.0019  0.1219  0.675  0.7718  0.72
Garcia 2007   50  0.3651  0.0045  0.0666  0.0620  0.4453  0.16
Garcia 2007b   17  0.5416  0.0018  0.1817  0.692  0.8216  0.75
Gierzod 1998   65  0.2569  0.0057  0.0657  0.0622  0.4647  0.17
Gornostaeva 1994   78  0.1670  0.0075  0.0478  0.0485  0.0286  0.03
Groot 1988   7  0.6212  0.0112  0.208  0.802  0.7812  0.79
Harasiewicz 1955   41  0.4133  0.0052  0.0669  0.0648  0.0669  0.06
Hatto 1993   4  0.663  0.093  0.394  0.873  0.874  0.87
Hatto 1997   33  0.4573  0.0032  0.0931  0.478  0.5534  0.51
Horowitz 1949   35  0.4511  0.0133  0.0935  0.3815  0.6335  0.49
Indjic 1988   2  0.682  0.122  0.373  0.873  0.883  0.87
Kapell 1951   21  0.5028  0.0025  0.1026  0.588  0.6227  0.60
Kissin 1993   3  0.664  0.054  0.372  0.882  0.902  0.89
Kushner 1989   6  0.645  0.037  0.196  0.822  0.838  0.82
Luisada 1991   8  0.6029  0.008  0.147  0.822  0.827  0.82
Lushtak 2004   64  0.2857  0.0064  0.0945  0.0938  0.1361  0.11
Malcuzynski 1961   19  0.5249  0.0020  0.1521  0.635  0.6625  0.64
Magaloff 1978   58  0.3277  0.0056  0.0667  0.0643  0.1263  0.08
Magin 1975   13  0.587  0.0214  0.2613  0.754  0.8611  0.80
Michalowski 1933   23  0.5015  0.0022  0.1220  0.662  0.7319  0.69
Milkina 1970   67  0.2358  0.0068  0.0660  0.0653  0.0667  0.06
Mohovich 1999   66  0.2374  0.0067  0.0665  0.0649  0.0768  0.06
Moravec 1969   27  0.4823  0.0021  0.1322  0.623  0.7022  0.66
Morozova 2008   25  0.4930  0.0017  0.1518  0.694  0.6920  0.69
Neighaus 1950   53  0.3635  0.0059  0.0658  0.0656  0.0572  0.05
Niedzielski 1931   14  0.586  0.036  0.2411  0.791  0.8210  0.80
Ohlsson 1999   30  0.4760  0.0029  0.1329  0.5311  0.6128  0.57
Osinska 1989   80  0.1686  0.0073  0.0573  0.0561  0.0475  0.04
Pachmann 1927   40  0.4146  0.0041  0.0840  0.2217  0.6241  0.37
Paderewski 1930   20  0.5124  0.0023  0.1525  0.597  0.7223  0.65
Perlemuter 1992   38  0.4420  0.0036  0.1134  0.3911  0.6633  0.51
Pierdomenico 2008   49  0.3780  0.0051  0.0661  0.0620  0.4349  0.16
Poblocka 1999   54  0.3587  0.0054  0.0850  0.0840  0.2157  0.13
Rabcewiczowa 1932   84  0.0832  0.0083  0.0385  0.0379  0.0382  0.03
Rachmaninoff 1923   36  0.4453  0.0037  0.1237  0.3718  0.5937  0.47
Rangell 2001   71  0.2162  0.0074  0.0479  0.0472  0.0479  0.04
Richter 1976   10  0.5913  0.019  0.169  0.803  0.839  0.81
Rosen 1989   63  0.2954  0.0062  0.0659  0.0660  0.0471  0.05
Rosenthal 1930   61  0.3047  0.0065  0.0754  0.0744  0.1362  0.10
Rosenthal 1931   75  0.1745  0.0070  0.0664  0.0637  0.3456  0.14
Rosenthal 1931b   74  0.1856  0.0072  0.0846  0.0837  0.3455  0.16
Rosenthal 1931c   68  0.2388  0.0071  0.0571  0.0552  0.0573  0.05
Rosenthal 1931d   77  0.1625  0.0069  0.0751  0.0731  0.3754  0.16
Rossi 2007   88  -0.0189  0.0086  0.0286  0.0279  0.0389  0.02
Rubinstein 1939   59  0.3243  0.0049  0.0668  0.069  0.4250  0.16
Rubinstein 1952   55  0.3534  0.0055  0.0848  0.0830  0.3548  0.17
Rubinstein 1966   51  0.3638  0.0050  0.0753  0.0733  0.2058  0.12
Schilhawsky 1960   56  0.3375  0.0060  0.0755  0.0717  0.4646  0.18
Shebanova 2002   1  0.721  0.511  0.511  0.921  0.891  0.90
Smith 1975   81  0.1483  0.0084  0.0383  0.0375  0.0381  0.03
Sokolov 2002   60  0.3236  0.0058  0.0572  0.0552  0.0476  0.04
Sztompka 1959   11  0.5914  0.0013  0.2316  0.734  0.7715  0.75
Tomsic 1995   44  0.4063  0.0044  0.0843  0.1516  0.3642  0.23
Uninsky 1932   5  0.648  0.025  0.315  0.851  0.845  0.84
Uninsky 1971   52  0.3619  0.0043  0.0544  0.1336  0.2051  0.16
Wasowski 1980   26  0.4940  0.0031  0.1030  0.5017  0.5731  0.53
Zak 1937   43  0.4050  0.0046  0.0756  0.0717  0.4944  0.19
Zak 1951   45  0.3927  0.0047  0.0752  0.0716  0.5245  0.19
Random 1   85  0.0590  0.0085  0.0384  0.0331  0.2464  0.08
Random 2   87  0.0384  0.0087  0.0289  0.0269  0.0485  0.03
Random 3   90  -0.0385  0.0090  0.0190  0.0186  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).