Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   49  0.3562  0.0032  0.0532  0.1586  0.0336  0.07
Anderszewski 2003   35  0.3754  0.0044  0.0641  0.1187  0.0246  0.05
Ashkenazy 1981   9  0.4446  0.0021  0.0922  0.3271  0.0424  0.11
Bacha 2000   55  0.3458  0.0061  0.0470  0.0456  0.0550  0.04
Badura 1965   78  0.2639  0.0081  0.0453  0.0487  0.0383  0.03
Barbosa 1983   75  0.2977  0.0068  0.0476  0.0480  0.0457  0.04
Biret 1990   10  0.4463  0.0023  0.1020  0.3471  0.0421  0.12
Blet 2003   41  0.373  0.0239  0.0443  0.0968  0.0443  0.06
Block 1995   71  0.3056  0.0026  0.0639  0.1175  0.0344  0.06
Blumental 1952   24  0.4044  0.0019  0.0916  0.3742  0.0910  0.18
Boshniakovich 1969   12  0.4348  0.0018  0.0715  0.4065  0.0518  0.14
Brailowsky 1960   61  0.3283  0.0077  0.0550  0.0569  0.0451  0.04
Bunin 1987   50  0.3534  0.0060  0.0460  0.0458  0.0563  0.04
Bunin 1987b   52  0.3518  0.0059  0.0459  0.0450  0.0556  0.04
Chiu 1999   20  0.4121  0.0045  0.0463  0.0479  0.0369  0.03
Cohen 1997   66  0.3138  0.0076  0.0377  0.0350  0.0562  0.04
Cortot 1951   76  0.2978  0.0067  0.0380  0.0351  0.0565  0.04
Csalog 1996   85  0.2252  0.0079  0.0468  0.0476  0.0379  0.03
Czerny 1949   68  0.3179  0.0063  0.0452  0.0483  0.0382  0.03
Czerny 1990   31  0.3876  0.0041  0.0440  0.1183  0.0345  0.06
Duchoud 2007   46  0.3616  0.0050  0.0466  0.0474  0.0459  0.04
Ezaki 2006   56  0.3375  0.0074  0.0385  0.0385  0.0367  0.03
Falvay 1989   63  0.3226  0.0070  0.0462  0.0476  0.0454  0.04
Farrell 1958   19  0.4223  0.0010  0.108  0.5027  0.273  0.37
Ferenczy 1958   74  0.2967  0.0066  0.0381  0.0364  0.0481  0.03
Fliere 1977   3  0.487  0.016  0.172  0.6281  0.0315  0.14
Fou 1978   27  0.4059  0.0042  0.0434  0.1482  0.0340  0.06
Francois 1956   77  0.2820  0.0064  0.0471  0.0482  0.0387  0.03
Friedman 1923   45  0.3614  0.0057  0.0646  0.0644  0.1133  0.08
Friedman 1923b   40  0.3711  0.0056  0.0745  0.0770  0.0447  0.05
Friedman 1930   28  0.3928  0.0055  0.0454  0.0481  0.0380  0.03
Garcia 2007   1  0.621  0.821  0.811  0.871  0.901  0.88
Garcia 2007b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Gierzod 1998   42  0.3788  0.0025  0.0825  0.2686  0.0237  0.07
Gornostaeva 1994   30  0.3930  0.0035  0.0533  0.1582  0.0248  0.05
Groot 1988   39  0.375  0.013  0.1618  0.3560  0.0422  0.12
Harasiewicz 1955   22  0.418  0.0120  0.0724  0.2782  0.0238  0.07
Hatto 1993   11  0.4350  0.009  0.1210  0.4950  0.079  0.19
Hatto 1997   26  0.4053  0.0015  0.1113  0.4354  0.0514  0.15
Horowitz 1949   53  0.3540  0.0072  0.0384  0.0366  0.0374  0.03
Indjic 1988   14  0.4322  0.008  0.137  0.5463  0.0512  0.16
Kapell 1951   21  0.4115  0.0011  0.109  0.4943  0.106  0.22
Kissin 1993   57  0.3389  0.0075  0.0457  0.0482  0.0377  0.03
Kushner 1989   7  0.4429  0.005  0.153  0.6057  0.068  0.19
Luisada 1991   2  0.496  0.012  0.184  0.5639  0.224  0.35
Lushtak 2004   32  0.3865  0.0046  0.0548  0.0578  0.0360  0.04
Malcuzynski 1961   37  0.3735  0.0027  0.0627  0.2187  0.0329  0.08
Magaloff 1978   64  0.3247  0.0062  0.0469  0.0475  0.0452  0.04
Magin 1975   6  0.444  0.0213  0.1414  0.4050  0.0516  0.14
Michalowski 1933   15  0.432  0.0212  0.1012  0.4425  0.352  0.39
Milkina 1970   60  0.3264  0.0048  0.0551  0.0583  0.0355  0.04
Mohovich 1999   54  0.3486  0.0047  0.0458  0.0466  0.0461  0.04
Moravec 1969   82  0.2557  0.0080  0.0475  0.0486  0.0368  0.03
Morozova 2008   17  0.4260  0.0022  0.0919  0.3473  0.0420  0.12
Neighaus 1950   16  0.4266  0.0033  0.0429  0.2065  0.0526  0.10
Niedzielski 1931   72  0.3074  0.0052  0.0473  0.0474  0.0371  0.03
Ohlsson 1999   29  0.3971  0.0043  0.0535  0.1383  0.0342  0.06
Osinska 1989   38  0.3724  0.0016  0.0823  0.2858  0.0519  0.12
Pachmann 1927   84  0.2455  0.0083  0.0378  0.0370  0.0476  0.03
Paderewski 1930   58  0.3370  0.0031  0.0536  0.1341  0.1023  0.11
Perlemuter 1992   25  0.4049  0.0029  0.0728  0.2053  0.0525  0.10
Pierdomenico 2008   8  0.449  0.0114  0.1417  0.3722  0.325  0.34
Poblocka 1999   36  0.3727  0.0040  0.0437  0.1252  0.0628  0.08
Rabcewiczowa 1932   34  0.3768  0.0053  0.0464  0.0476  0.0372  0.03
Rachmaninoff 1923   44  0.3684  0.0054  0.0456  0.0470  0.0453  0.04
Rangell 2001   73  0.3019  0.0036  0.0542  0.1078  0.0349  0.05
Richter 1976   70  0.3036  0.0071  0.0379  0.0367  0.0475  0.03
Rosen 1989   23  0.4085  0.0034  0.0530  0.2080  0.0331  0.08
Rosenthal 1930   81  0.2569  0.0085  0.0386  0.0384  0.0290  0.02
Rosenthal 1931   86  0.2280  0.0086  0.0383  0.0384  0.0378  0.03
Rosenthal 1931b   80  0.2545  0.0082  0.0465  0.0471  0.0385  0.03
Rosenthal 1931c   87  0.2287  0.0087  0.0467  0.0485  0.0386  0.03
Rosenthal 1931d   83  0.2482  0.0084  0.0474  0.0457  0.0564  0.04
Rossi 2007   59  0.3332  0.0058  0.0549  0.0546  0.0839  0.06
Rubinstein 1939   65  0.3212  0.0065  0.0472  0.0439  0.1434  0.07
Rubinstein 1952   79  0.2631  0.0078  0.0547  0.0582  0.0466  0.04
Rubinstein 1966   69  0.3043  0.0049  0.0455  0.0466  0.0458  0.04
Schilhawsky 1960   43  0.3717  0.0030  0.0631  0.1769  0.0430  0.08
Shebanova 2002   5  0.4413  0.007  0.125  0.5661  0.0511  0.17
Smith 1975   33  0.3881  0.0051  0.0461  0.0474  0.0370  0.03
Sokolov 2002   67  0.3190  0.0073  0.0287  0.0287  0.0388  0.02
Sztompka 1959   4  0.4673  0.004  0.146  0.5644  0.097  0.22
Tomsic 1995   62  0.3272  0.0069  0.0382  0.0377  0.0473  0.03
Uninsky 1932   18  0.4233  0.0024  0.1121  0.3355  0.0617  0.14
Uninsky 1971   47  0.3637  0.0028  0.0626  0.2274  0.0427  0.09
Wasowski 1980   13  0.4325  0.0017  0.0911  0.4653  0.0513  0.15
Zak 1937   48  0.3641  0.0038  0.0444  0.0863  0.0541  0.06
Zak 1951   51  0.3510  0.0037  0.0438  0.1178  0.0435  0.07
Random 1   89  -0.0361  0.0088  0.0288  0.0219  0.3132  0.08
Random 2   90  -0.0642  0.0090  0.0190  0.0162  0.0389  0.02
Random 3   88  -0.0151  0.0089  0.0189  0.0137  0.1184  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).