Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   21  0.4944  0.0014  0.0815  0.3343  0.1919  0.25
Anderszewski 2003   42  0.4438  0.0038  0.0538  0.1335  0.1631  0.14
Ashkenazy 1981   1  0.589  0.039  0.064  0.4734  0.267  0.35
Bacha 2000   27  0.4849  0.0034  0.0535  0.1510  0.5214  0.28
Badura 1965   66  0.3948  0.0071  0.0465  0.0468  0.0474  0.04
Barbosa 1983   57  0.4141  0.0060  0.0461  0.0466  0.0572  0.04
Biret 1990   18  0.5027  0.0021  0.0813  0.3461  0.0535  0.13
Blet 2003   52  0.4229  0.0065  0.0462  0.0461  0.0573  0.04
Block 1995   82  0.3245  0.0055  0.0457  0.0441  0.1155  0.07
Blumental 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Boshniakovich 1969   24  0.4830  0.0044  0.0541  0.0950  0.0656  0.07
Brailowsky 1960   36  0.4612  0.0152  0.0464  0.0434  0.3138  0.11
Bunin 1987   78  0.3458  0.0084  0.0382  0.0374  0.0386  0.03
Bunin 1987b   81  0.3381  0.0085  0.0550  0.0575  0.0369  0.04
Chiu 1999   22  0.4954  0.0026  0.0728  0.2439  0.1923  0.21
Cohen 1997   72  0.3673  0.0080  0.0383  0.0343  0.1064  0.05
Cortot 1951   34  0.4782  0.0030  0.0625  0.268  0.575  0.38
Csalog 1996   83  0.2988  0.0083  0.0384  0.0381  0.0384  0.03
Czerny 1949   30  0.4831  0.0018  0.088  0.3933  0.2610  0.32
Czerny 1990   2  0.582  0.102  0.291  0.7115  0.462  0.57
Duchoud 2007   79  0.3466  0.0081  0.0380  0.0376  0.0485  0.03
Ezaki 2006   9  0.5216  0.0116  0.1017  0.3237  0.2116  0.26
Falvay 1989   32  0.4715  0.0139  0.0543  0.0836  0.1837  0.12
Farrell 1958   48  0.4436  0.0050  0.0552  0.0544  0.1052  0.07
Ferenczy 1958   40  0.453  0.097  0.1319  0.3013  0.436  0.36
Fliere 1977   23  0.4933  0.0045  0.0456  0.0483  0.0380  0.03
Fou 1978   29  0.4823  0.0047  0.0647  0.0651  0.0659  0.06
Francois 1956   74  0.3569  0.0066  0.0470  0.0455  0.0478  0.04
Friedman 1923   69  0.3874  0.0063  0.0378  0.0322  0.3446  0.10
Friedman 1923b   68  0.3885  0.0057  0.0469  0.0425  0.3043  0.11
Friedman 1930   65  0.3937  0.0064  0.0553  0.0538  0.1749  0.09
Garcia 2007   67  0.3955  0.0068  0.0376  0.0329  0.2150  0.08
Garcia 2007b   61  0.4056  0.0040  0.0442  0.0916  0.3730  0.18
Gierzod 1998   4  0.5420  0.014  0.113  0.4937  0.343  0.41
Gornostaeva 1994   70  0.3859  0.0072  0.0467  0.0476  0.0387  0.03
Groot 1988   63  0.4043  0.0058  0.0475  0.0474  0.0389  0.03
Harasiewicz 1955   44  0.4446  0.0031  0.0537  0.1469  0.0457  0.07
Hatto 1993   7  0.5367  0.0010  0.0911  0.3633  0.1521  0.23
Hatto 1997   10  0.5257  0.0012  0.089  0.3827  0.2511  0.31
Horowitz 1949   62  0.4064  0.0074  0.0474  0.0449  0.0570  0.04
Indjic 1988   8  0.5262  0.0011  0.0716  0.3342  0.1324  0.21
Kapell 1951   26  0.487  0.046  0.115  0.4629  0.314  0.38
Kissin 1993   38  0.4525  0.0048  0.0548  0.0546  0.0760  0.06
Kushner 1989   12  0.5128  0.0023  0.0712  0.3569  0.0533  0.13
Luisada 1991   5  0.5319  0.0120  0.0720  0.2938  0.2317  0.26
Lushtak 2004   25  0.4871  0.0046  0.0549  0.0549  0.0663  0.05
Malcuzynski 1961   54  0.428  0.0322  0.0724  0.2642  0.1526  0.20
Magaloff 1978   50  0.4435  0.0051  0.0458  0.0474  0.0467  0.04
Magin 1975   19  0.494  0.093  0.1130  0.2034  0.1828  0.19
Michalowski 1933   59  0.4161  0.0032  0.0532  0.1830  0.3320  0.24
Milkina 1970   35  0.4611  0.0224  0.0727  0.2465  0.0540  0.11
Mohovich 1999   39  0.4518  0.0142  0.0440  0.1055  0.0651  0.08
Moravec 1969   3  0.551  0.321  0.322  0.652  0.701  0.67
Morozova 2008   6  0.5310  0.0313  0.0923  0.2737  0.1625  0.21
Neighaus 1950   60  0.4086  0.0070  0.0646  0.0679  0.0465  0.05
Niedzielski 1931   71  0.3851  0.0037  0.0734  0.1631  0.3022  0.22
Ohlsson 1999   58  0.4180  0.0069  0.0551  0.0581  0.0371  0.04
Osinska 1989   31  0.4760  0.0029  0.0726  0.2544  0.1527  0.19
Pachmann 1927   87  0.2190  0.0087  0.0471  0.0482  0.0383  0.03
Paderewski 1930   49  0.4483  0.0043  0.0444  0.0829  0.2134  0.13
Perlemuter 1992   43  0.4421  0.0154  0.0459  0.0458  0.0566  0.04
Pierdomenico 2008   84  0.2976  0.0079  0.0385  0.0360  0.0568  0.04
Poblocka 1999   37  0.456  0.058  0.1218  0.3130  0.2712  0.29
Rabcewiczowa 1932   13  0.5070  0.0019  0.0921  0.2823  0.2915  0.28
Rachmaninoff 1923   46  0.4432  0.0027  0.0929  0.2355  0.0539  0.11
Rangell 2001   85  0.2765  0.0082  0.0381  0.0376  0.0388  0.03
Richter 1976   86  0.2484  0.0086  0.0377  0.0385  0.0290  0.02
Rosen 1989   41  0.4517  0.0133  0.0631  0.1944  0.1132  0.14
Rosenthal 1930   64  0.3913  0.0167  0.0473  0.0430  0.3042  0.11
Rosenthal 1931   80  0.3453  0.0076  0.0554  0.0536  0.2641  0.11
Rosenthal 1931b   73  0.3526  0.0073  0.0466  0.0434  0.2445  0.10
Rosenthal 1931c   56  0.4239  0.0059  0.0472  0.0422  0.4036  0.13
Rosenthal 1931d   76  0.3477  0.0075  0.0455  0.0428  0.2844  0.11
Rossi 2007   75  0.3578  0.0078  0.0287  0.0255  0.0581  0.03
Rubinstein 1939   55  0.4272  0.0062  0.0379  0.0330  0.2747  0.09
Rubinstein 1952   53  0.4268  0.0056  0.0463  0.0464  0.0577  0.04
Rubinstein 1966   33  0.4763  0.0053  0.0468  0.0459  0.0662  0.05
Schilhawsky 1960   47  0.4422  0.0041  0.0439  0.1163  0.0554  0.07
Shebanova 2002   16  0.5034  0.0028  0.0914  0.3444  0.1029  0.18
Smith 1975   20  0.4952  0.0015  0.0810  0.3727  0.289  0.32
Sokolov 2002   45  0.4424  0.0049  0.0645  0.0646  0.0758  0.06
Sztompka 1959   11  0.515  0.065  0.106  0.4430  0.268  0.34
Tomsic 1995   77  0.3447  0.0077  0.0286  0.0273  0.0482  0.03
Uninsky 1932   15  0.5050  0.0025  0.0622  0.2735  0.2418  0.25
Uninsky 1971   14  0.5014  0.0117  0.097  0.4134  0.2113  0.29
Wasowski 1980   51  0.4340  0.0061  0.0460  0.0482  0.0379  0.03
Zak 1937   17  0.5079  0.0035  0.0633  0.1758  0.0548  0.09
Zak 1951   28  0.4842  0.0036  0.0636  0.1475  0.0453  0.07
Random 1   90  -0.0889  0.0090  0.0190  0.0137  0.1475  0.04
Random 2   88  0.0087  0.0088  0.0288  0.0236  0.1961  0.06
Random 3   89  -0.0475  0.0089  0.0289  0.0243  0.0776  0.04

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).