Horowitz 1949

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.7320  0.0116  0.1112  0.5158  0.0529  0.16
Anderszewski 2003   29  0.6723  0.0138  0.0934  0.3648  0.0632  0.15
Ashkenazy 1981   25  0.6822  0.0119  0.0917  0.4734  0.2120  0.31
Bacha 2000   76  0.4181  0.0073  0.0475  0.0478  0.0376  0.03
Badura 1965   28  0.6757  0.0040  0.0941  0.2827  0.4218  0.34
Barbosa 1983   80  0.3360  0.0077  0.0564  0.0579  0.0368  0.04
Biret 1990   52  0.5541  0.0053  0.0752  0.0785  0.0359  0.05
Blet 2003   65  0.4949  0.0064  0.0476  0.0484  0.0383  0.03
Block 1995   24  0.6877  0.0031  0.0829  0.4017  0.2919  0.34
Blumental 1952   73  0.4350  0.0063  0.0473  0.0455  0.0573  0.04
Boshniakovich 1969   3  0.7673  0.007  0.168  0.5222  0.4511  0.48
Brailowsky 1960   55  0.5342  0.0057  0.0656  0.0663  0.0453  0.05
Bunin 1987   33  0.6618  0.0121  0.0924  0.454  0.547  0.49
Bunin 1987b   37  0.6558  0.0020  0.0825  0.454  0.545  0.49
Chiu 1999   63  0.5176  0.0058  0.0566  0.0552  0.0460  0.04
Cohen 1997   88  0.1040  0.0088  0.0288  0.0285  0.0290  0.02
Cortot 1951   10  0.7229  0.0014  0.1010  0.525  0.554  0.53
Csalog 1996   86  0.2378  0.0080  0.0385  0.0359  0.0482  0.03
Czerny 1949   7  0.7353  0.006  0.1311  0.5126  0.4413  0.47
Czerny 1990   59  0.5282  0.0068  0.0657  0.0647  0.0558  0.05
Duchoud 2007   49  0.5838  0.0042  0.0745  0.1623  0.2725  0.21
Ezaki 2006   18  0.6933  0.0032  0.0738  0.3151  0.0443  0.11
Falvay 1989   85  0.2679  0.0087  0.0287  0.0288  0.0288  0.02
Farrell 1958   64  0.5063  0.0065  0.0565  0.0575  0.0464  0.04
Ferenczy 1958   58  0.5288  0.0062  0.0563  0.0567  0.0470  0.04
Fliere 1977   12  0.7211  0.0112  0.105  0.5450  0.0528  0.16
Fou 1978   38  0.6410  0.0245  0.0944  0.1844  0.0939  0.13
Francois 1956   75  0.4180  0.0076  0.0561  0.0566  0.0475  0.04
Friedman 1923   19  0.6986  0.0013  0.1022  0.4614  0.5112  0.48
Friedman 1923b   23  0.6815  0.0110  0.0920  0.4614  0.528  0.49
Friedman 1930   27  0.6791  0.0025  0.0727  0.4222  0.4415  0.43
Garcia 2007   30  0.6717  0.0144  0.1142  0.2450  0.0642  0.12
Garcia 2007b   40  0.6472  0.0043  0.1039  0.2947  0.0738  0.14
Gierzod 1998   31  0.6628  0.0137  0.0735  0.3551  0.0636  0.14
Gornostaeva 1994   57  0.5336  0.0054  0.0754  0.0782  0.0274  0.04
Groot 1988   46  0.6225  0.0147  0.0851  0.0835  0.2437  0.14
Harasiewicz 1955   2  0.792  0.192  0.352  0.597  0.503  0.54
Hatto 1993   48  0.6062  0.0035  0.0636  0.3546  0.0730  0.16
Hatto 1997   45  0.6287  0.0036  0.1032  0.3650  0.0633  0.15
Horowitz 1949   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Indjic 1988   44  0.6266  0.0033  0.0633  0.3662  0.0540  0.13
Kapell 1951   47  0.6164  0.0034  0.0640  0.2863  0.0445  0.11
Kissin 1993   13  0.7226  0.0122  0.0815  0.4841  0.1222  0.24
Kushner 1989   53  0.5570  0.0061  0.0560  0.0579  0.0365  0.04
Luisada 1991   43  0.6259  0.0049  0.0946  0.0958  0.0548  0.07
Lushtak 2004   60  0.5147  0.0059  0.0559  0.0582  0.0372  0.04
Malcuzynski 1961   34  0.663  0.074  0.1416  0.483  0.516  0.49
Magaloff 1978   69  0.4589  0.0072  0.0474  0.0481  0.0461  0.04
Magin 1975   32  0.6652  0.0029  0.0631  0.3947  0.0727  0.17
Michalowski 1933   36  0.6519  0.0126  0.0828  0.4121  0.3417  0.37
Milkina 1970   41  0.6416  0.0146  0.0655  0.0685  0.0366  0.04
Mohovich 1999   50  0.5761  0.0052  0.0848  0.0875  0.0452  0.06
Moravec 1969   79  0.3332  0.0082  0.0384  0.0373  0.0477  0.03
Morozova 2008   35  0.6545  0.0041  0.1043  0.1981  0.0347  0.08
Neighaus 1950   8  0.738  0.035  0.187  0.5316  0.469  0.49
Niedzielski 1931   51  0.5624  0.0148  0.0753  0.0772  0.0356  0.05
Ohlsson 1999   42  0.6271  0.0030  0.0730  0.4049  0.0535  0.14
Osinska 1989   20  0.6921  0.0139  0.0937  0.3271  0.0444  0.11
Pachmann 1927   62  0.5113  0.0171  0.0472  0.0441  0.1149  0.07
Paderewski 1930   66  0.4969  0.0069  0.0469  0.0475  0.0380  0.03
Perlemuter 1992   39  0.6434  0.0051  0.0947  0.0951  0.0450  0.06
Pierdomenico 2008   67  0.4546  0.0066  0.0558  0.0550  0.0655  0.05
Poblocka 1999   16  0.7012  0.0111  0.099  0.5229  0.3216  0.41
Rabcewiczowa 1932   70  0.457  0.0475  0.0567  0.0577  0.0463  0.04
Rachmaninoff 1923   22  0.699  0.0228  0.0626  0.4343  0.0926  0.20
Rangell 2001   68  0.4514  0.0156  0.0562  0.0537  0.1846  0.09
Richter 1976   1  0.801  0.221  0.223  0.567  0.591  0.57
Rosen 1989   54  0.5365  0.0055  0.0849  0.0880  0.0357  0.05
Rosenthal 1930   72  0.4455  0.0067  0.0471  0.0476  0.0384  0.03
Rosenthal 1931   81  0.3184  0.0083  0.0381  0.0381  0.0381  0.03
Rosenthal 1931b   82  0.3151  0.0084  0.0382  0.0380  0.0486  0.03
Rosenthal 1931c   84  0.2743  0.0086  0.0479  0.0479  0.0387  0.03
Rosenthal 1931d   83  0.3054  0.0085  0.0383  0.0373  0.0485  0.03
Rossi 2007   78  0.3874  0.0079  0.0478  0.0484  0.0378  0.03
Rubinstein 1939   74  0.4235  0.0074  0.0480  0.0486  0.0379  0.03
Rubinstein 1952   87  0.2237  0.0081  0.0286  0.0285  0.0391  0.02
Rubinstein 1966   71  0.4444  0.0070  0.0468  0.0468  0.0469  0.04
Schilhawsky 1960   4  0.765  0.053  0.171  0.6213  0.532  0.57
Shebanova 2002   26  0.6748  0.0027  0.0618  0.4752  0.0534  0.15
Smith 1975   56  0.5356  0.0060  0.0470  0.0455  0.0462  0.04
Sokolov 2002   61  0.5183  0.0050  0.0850  0.0866  0.0354  0.05
Sztompka 1959   15  0.7175  0.0023  0.1223  0.4566  0.0531  0.15
Tomsic 1995   77  0.3867  0.0078  0.0477  0.0469  0.0467  0.04
Uninsky 1932   5  0.7531  0.009  0.1314  0.4920  0.4214  0.45
Uninsky 1971   11  0.724  0.068  0.226  0.5416  0.4310  0.48
Wasowski 1980   14  0.716  0.0524  0.1013  0.5131  0.1721  0.29
Zak 1937   17  0.7030  0.0017  0.0819  0.4644  0.1123  0.22
Zak 1951   21  0.6985  0.0018  0.0721  0.4645  0.1024  0.21
Average   6  0.7527  0.0115  0.084  0.5674  0.0341  0.13
Random 1   91  -0.1539  0.0090  0.0190  0.0116  0.3151  0.06
Random 2   89  -0.0968  0.0089  0.0189  0.0132  0.1571  0.04
Random 3   90  -0.1490  0.0091  0.0191  0.0147  0.0689  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).