Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   43  0.5285  0.0061  0.0466  0.0453  0.0578  0.04
Anderszewski 2003   42  0.5224  0.0131  0.1232  0.3116  0.4628  0.38
Ashkenazy 1981   20  0.5744  0.0030  0.1220  0.4625  0.3925  0.42
Bacha 2000   70  0.4388  0.0073  0.0380  0.0342  0.1563  0.07
Badura 1965   58  0.4749  0.0054  0.0475  0.0433  0.3255  0.11
Barbosa 1983   7  0.6026  0.0112  0.087  0.554  0.633  0.59
Biret 1990   31  0.554  0.0610  0.0914  0.5010  0.5311  0.51
Blet 2003   34  0.5443  0.0044  0.0643  0.1210  0.4738  0.24
Block 1995   68  0.4458  0.0071  0.0746  0.0748  0.0567  0.06
Blumental 1952   55  0.4872  0.0064  0.0649  0.0649  0.0574  0.05
Boshniakovich 1969   29  0.5518  0.0119  0.0933  0.2429  0.2836  0.26
Brailowsky 1960   46  0.5042  0.0036  0.0640  0.1422  0.3939  0.23
Bunin 1987   28  0.5566  0.0028  0.0925  0.412  0.5914  0.49
Bunin 1987b   30  0.5545  0.0027  0.1023  0.422  0.6012  0.50
Chiu 1999   26  0.5648  0.0048  0.0559  0.0525  0.3648  0.13
Cohen 1997   62  0.4650  0.0070  0.0553  0.059  0.4944  0.16
Cortot 1951   63  0.4532  0.0056  0.0562  0.0527  0.3050  0.12
Csalog 1996   69  0.4436  0.0052  0.0556  0.0523  0.4146  0.14
Czerny 1949   53  0.4983  0.0062  0.0552  0.0541  0.1362  0.08
Czerny 1990   33  0.5481  0.0047  0.0467  0.0454  0.0675  0.05
Duchoud 2007   52  0.4968  0.0043  0.0641  0.148  0.4935  0.26
Ezaki 2006   2  0.6130  0.0017  0.0818  0.4727  0.3823  0.42
Falvay 1989   12  0.5910  0.0322  0.0921  0.467  0.597  0.52
Farrell 1958   18  0.5711  0.0332  0.1031  0.334  0.5424  0.42
Ferenczy 1958   50  0.5019  0.0159  0.0464  0.0410  0.4449  0.13
Fliere 1977   3  0.6117  0.019  0.105  0.5728  0.4015  0.48
Fou 1978   10  0.6028  0.0021  0.0716  0.4819  0.4321  0.45
Francois 1956   48  0.5055  0.0039  0.0635  0.2121  0.4632  0.31
Friedman 1923   79  0.3870  0.0082  0.0285  0.0247  0.0784  0.04
Friedman 1923b   78  0.3861  0.0081  0.0381  0.0360  0.0580  0.04
Friedman 1930   66  0.4557  0.0066  0.0471  0.0437  0.1861  0.08
Garcia 2007   75  0.4069  0.0075  0.0379  0.0344  0.0972  0.05
Garcia 2007b   77  0.3863  0.0074  0.0378  0.0348  0.0583  0.04
Gierzod 1998   14  0.5816  0.0214  0.0711  0.5234  0.3622  0.43
Gornostaeva 1994   57  0.4864  0.0053  0.0473  0.0464  0.0481  0.04
Groot 1988   40  0.5247  0.0029  0.1030  0.3330  0.3131  0.32
Harasiewicz 1955   5  0.6020  0.0113  0.079  0.5432  0.2630  0.37
Hatto 1993   41  0.5282  0.0041  0.0638  0.1434  0.1547  0.14
Hatto 1997   23  0.5631  0.0026  0.0822  0.4522  0.3029  0.37
Horowitz 1949   73  0.4174  0.0076  0.0472  0.0457  0.0577  0.04
Indjic 1988   38  0.5359  0.0037  0.0634  0.2125  0.2440  0.22
Kapell 1951   22  0.5714  0.028  0.113  0.598  0.486  0.53
Kissin 1993   17  0.5841  0.0033  0.0829  0.3531  0.2633  0.30
Kushner 1989   16  0.5813  0.0211  0.088  0.5514  0.4810  0.51
Luisada 1991   39  0.5352  0.0042  0.0639  0.1450  0.0658  0.09
Lushtak 2004   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Malcuzynski 1961   47  0.5025  0.0157  0.0561  0.0550  0.0571  0.05
Magaloff 1978   32  0.545  0.063  0.1027  0.3912  0.4426  0.41
Magin 1975   64  0.4556  0.0068  0.0557  0.0564  0.0476  0.04
Michalowski 1933   86  0.3189  0.0084  0.0377  0.0373  0.0487  0.03
Milkina 1970   61  0.4653  0.0067  0.0558  0.0556  0.0670  0.05
Mohovich 1999   15  0.589  0.0324  0.1313  0.5116  0.548  0.52
Moravec 1969   76  0.4039  0.0077  0.0384  0.0380  0.0385  0.03
Morozova 2008   19  0.5721  0.0134  0.0936  0.1831  0.2241  0.20
Neighaus 1950   6  0.6037  0.0015  0.0710  0.5319  0.4118  0.47
Niedzielski 1931   83  0.3475  0.0083  0.0382  0.0384  0.0386  0.03
Ohlsson 1999   11  0.5912  0.027  0.084  0.599  0.524  0.55
Osinska 1989   27  0.5615  0.0216  0.0819  0.4722  0.4519  0.46
Pachmann 1927   59  0.4765  0.0038  0.0644  0.1212  0.5037  0.24
Paderewski 1930   67  0.4540  0.0065  0.0463  0.0424  0.2854  0.11
Perlemuter 1992   37  0.5367  0.0045  0.0748  0.0717  0.4143  0.17
Pierdomenico 2008   72  0.4276  0.0069  0.0551  0.0528  0.2551  0.11
Poblocka 1999   13  0.593  0.104  0.106  0.5511  0.489  0.51
Rabcewiczowa 1932   56  0.4829  0.0040  0.0637  0.1714  0.4234  0.27
Rachmaninoff 1923   60  0.4751  0.0063  0.0650  0.0650  0.0569  0.05
Rangell 2001   71  0.4323  0.0158  0.0465  0.0429  0.2757  0.10
Richter 1976   49  0.5027  0.0055  0.0474  0.0432  0.2953  0.11
Rosen 1989   45  0.5173  0.0051  0.0560  0.0552  0.0673  0.05
Rosenthal 1930   81  0.3677  0.0080  0.0383  0.0348  0.0679  0.04
Rosenthal 1931   84  0.3260  0.0085  0.0476  0.0435  0.2756  0.10
Rosenthal 1931b   85  0.3186  0.0086  0.0470  0.0437  0.2160  0.09
Rosenthal 1931c   80  0.3679  0.0079  0.0287  0.0236  0.2364  0.07
Rosenthal 1931d   87  0.2984  0.0087  0.0469  0.0454  0.0582  0.04
Rossi 2007   82  0.3554  0.0078  0.0286  0.0243  0.1268  0.05
Rubinstein 1939   74  0.4071  0.0072  0.0468  0.0427  0.2952  0.11
Rubinstein 1952   36  0.532  0.142  0.1424  0.4116  0.5220  0.46
Rubinstein 1966   8  0.6034  0.0020  0.0715  0.4912  0.615  0.55
Schilhawsky 1960   25  0.566  0.065  0.0828  0.3724  0.4527  0.41
Shebanova 2002   9  0.607  0.0518  0.1212  0.5123  0.4616  0.48
Smith 1975   21  0.5733  0.0025  0.0917  0.489  0.5013  0.49
Sokolov 2002   44  0.5178  0.0046  0.0747  0.0730  0.2945  0.14
Sztompka 1959   35  0.5490  0.0049  0.0745  0.0763  0.0565  0.06
Tomsic 1995   24  0.568  0.0323  0.1026  0.409  0.5617  0.47
Uninsky 1932   65  0.4546  0.0060  0.0555  0.0548  0.0766  0.06
Uninsky 1971   51  0.5035  0.0035  0.0742  0.1330  0.2742  0.19
Wasowski 1980   54  0.4838  0.0050  0.0554  0.0534  0.1859  0.09
Zak 1937   4  0.6022  0.016  0.092  0.618  0.602  0.60
Zak 1951   1  0.611  0.161  0.161  0.674  0.601  0.63
Random 1   90  -0.1162  0.0090  0.0190  0.0187  0.0190  0.01
Random 2   89  -0.0480  0.0089  0.0288  0.0253  0.0488  0.03
Random 3   88  -0.0387  0.0088  0.0289  0.0258  0.0389  0.02

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).